Welcome to 6G@HK
Publications
View journal papers by year:
View conference papers by year:
View publications by Technology Track:
Journal Papers (2025)
[1] Junhui Rao, Zhaoyang Ming, Jichen Zhang, Zan Li, Chi Yuk Chiu, and Ross Murch, “A Compact Shared-Aperture Antenna With 2-Transmit and 2-Receive Highly-Isolated Ports for Full-Duplex MIMO Systems,” IEEE Open Journal of Antennas and Propagation, Vol. 6, Issue 2, pp. 422-432, Apr 2025. [paper]
[2] Wentao Yu, Yifan Ma, Hengtao He, Shenghui Song, Jun Zhang, and Khaled B. Letaief, “Deep Learning for Near-Field XL-MIMO Transceiver Design: Principles and Techniques,” IEEE Communications Magazine, Vol. 63, no. 1, pp. 52-58, Jan 2025. [paper]
[3] Xiaolu Wang, Zijian Li, Shi Jin, and Jun Zhang, “Achieving Linear Speedup in Asynchronous Federated Learning With Heterogeneous Clients,” IEEE Transactions on Mobile Computing, Vol. 24, no. 1, pp. 435-448, Jan 2025. [paper]
[4] Zixin Wang, Yong Zhou, Yuanming Shi, and Khaled B. Letaief, “Federated Fine-Tuning for Pre-Trained Foundation Models Over Wireless Networks,” IEEE Transactions on Wireless Communications, Early Access, Jan 2025. [paper]
[5] Lintao Li, Wei Chen, Petar Popovski, and Khaled B. Letaief, “Reliability-Latency-Rate Tradeoff in Low-Latency Communications with Finite-Blocklength Coding,” IEEE Transactions on Information Theory, Vol. 71, no. 1, pp. 360-389, Jan 2025. [paper]
[6] Yifan Ma, Hengtao He, Shenghui Song, Jun Zhang, Khaled B. Letaief, “Low-Complexity CSI Feedback for FDD Massive MIMO Systems via Learning to Optimize,” IEEE Transactions on Wireless Communications, Early Access, Jan 2025. [paper]
[7] Xin Yuan, Ning Li, Kang Wei, Wenchao Xu, Quan Chen, Hao Chen, and Song Guo, “Mobility and Cost Aware Inference Accelerating Algorithm for Edge Intelligence,” IEEE Transactions on Mobile Computing, Vol. 24, no. 3, pp. 1530-1549, Mar 2025. [paper]
[8] Nilesh Kumar Jha, Huayan Guo, and Vincent K. N. Lau, “Robust In-Memory Computation With Bayesian Analog Error Mitigating Codes,” IEEE Transactions on Signal Processing, Vol. 73, pp. 534-548, Jan 2025. [paper]
[9] Mingyao Cui, Qunsong Zeng, and Kaibin Huang, “Towards Atomic MIMO Receivers,” IEEE Journal on Selected Areas in Communications, Vol. 43, no. 3, pp. 659-673, Mar 2025. [paper]
[10] Zhiyan Liu, Qiao Lan, and Kaibin Huang, “Over-the-Air Fusion of Sparse Spatial Features for Integrated Sensing and Edge AI over Broadband Channels,” IEEE Transactions on Wireless Communications, Vol. 24, no. 4, pp. 2999-3013, Apr 2025. [paper]
[11] Jianhao Huang, Kai Yuan, Chuan Huang, and Kaibin Huang, “D^2-JSCC: Digital Deep Joint Source-channel Coding for Semantic Communications,” IEEE Journal on Selected Areas in Communications, Vol. 43, no. 4, pp. 1246-1261, Apr 2025. [paper]
[12] Syed Mohsin Abbas, Marwan Jalaleddine, Chi-Ying Tsui, and Warren J. Gross, “Improved Step-GRAND: Low-Latency Soft-Input Guessing Random Additive Noise Decoding,” IEEE Transactions on Very Large Scale Integration (VLSI) Systems, Vol. 33, no. 4, pp. 1028-1041, Apr 2025. [paper]
[13] Yuanyuan Bi, Vincent K. N. Lau, and Danny H. K. Tsang, “Model-driven Bayesian Reinforcement Learning for IRS-assisted Massive MIMO-OFDM Channel Feedback, Beamforming, and IRS Control,” IEEE Transactions on Wireless Communications, Vol. 24, no. 3, pp. 2514-2529, Mar 2025. [paper]
[14] Xiang Peng, Zhijin Qin, Xiaoming Tao, Jianhua Lu, and Khaled B. Letaief, “A Robust Image Semantic Communication System with Multi-Scale Vision Transformer,” IEEE Journal on Selected Areas in Communications, Early Access, Jan 2025. [paper]
[15] Zheng Zhang, Qiong Wu, Pingyi Fan, Nan Cheng, Wen Chen, and Khaled B. Letaief, “DRL-Based Optimization for AoI and Energy Consumption in C-V2X Enabled IoV,” IEEE Transactions on Green Communications and Networking, Early Access, Jan 2025. [paper]
[16] Maojun Zhang, Guangxu Zhu, Richeng Jin, Xiaoming Chen, Qingjiang Shi, Caijun Zhong, and Kaibin Huang, “Beamforming Design for Semantic-Bit Coexisting Communication System,” IEEE Journal on Selected Areas in Communications, Vol. 4, no. 4, pp. 1262-1277, Apr 2025. [paper]
[17] Guanqiao Qu, Qiyuan Chen, Wei Wei, Zheng Lin, Xianhao Chen, and Kaibin Huang, “Mobile Edge Intelligence for Large Language Models: A Contemporary Survey,” IEEE Communications Surveys & Tutorials, Early Access, Jan 2025. [paper]
[18] Ziyi Xu, Shuoyao Wang, and Ying-Jun Angela Zhang, “Scenario-Adaptive Meta-learning for MmWave Beam Alignment,” IEEE Transactions on Wireless Communications, Early Access, Jan 2025. [paper]
[19] Chang Cai, Xiaojun Yuan, and Ying-Jun Angela Zhang, “End-to-End Learning for Task-Oriented Semantic Communications Over MIMO Channels: An Information-Theoretic Framework,” IEEE Journal on Selected Areas in Communications, Vol. 43, no. 4, pp. 1292-1307, Apr 2025. [paper]
[20] Chongyun Zhang, Fuzhan Chen, Li Wang, Lin Wang, and C. Patrick Yue, “Recent Advances of High-Speed Short-Reach Optical Interconnects for Data Centers,” IEEE Open Journal of the Solid-State Circuits Society, Vol. 5, pp. 86-100, Jan 2025. [paper]
[21] Jie Zhang, Song Guo, Xiaosong Ma, Wenchao Xu, Qihua Zhou, Jingcai Guo, Zicong Hong, and Jun Shan, “Model Decomposition and Reassembly for Purified Knowledge Transfer in Personalized Federated Learning,” IEEE Transactions on Mobile Computing, Vol. 24, no. 1, pp. 379-393, Jan 2025. [paper]
[22] Quan Chen, Song Guo, Wenchao Xu, Jing Li, Tuo Shi, Hong Gao, and Zhipeng Cai, “Average AoI Minimization With Directional Charging for Wireless-Powered Network Edge,” IEEE Transactions on Mobile Computing, Early Access, Jan 2025. [paper]
[23] Zhaolong Ning, Tengfeng Li, Yu Wu, Xiaojie Wang, Qingqing Wu, Fei Richard Yu, and Song Guo, “6G Communication New Paradigm: The Integration of Unmanned Aerial Vehicles and Intelligent Reflecting Surfaces,” IEEE Communications Surveys & Tutorials, Early Access, Jan 2025. [paper]
[24] Xin Yuan, Ning Li, Kang Wei, Wenchao Xu, Quan Chen, Hao Chen, and Song Guo, “Mobility and Cost Aware Inference Accelerating Algorithm for Edge Intelligence,” IEEE Transactions on Mobile Computing, Vol. 24, no. 3, pp. 1530-1549, Mar 2025. [paper]
[25] Yi Liu, Song Guo, Jie Zhang, Zicong Hong, Yufeng Zhan, and Qihua Zhou, “Collaborative Neural Architecture Search for Personalized Federated Learning,” IEEE Transactions on Computers, Vol. 74, no. 1, pp. 250-262, Jan 2025. [paper]
[26] Shijing Yuan, Qingshi Zhou, Jie Li, Song Guo, Hongyang Chen, Chentao Wu, and Yang Yang, “Adaptive Incentive and Resource Allocation for Blockchain-Supported Edge Video Streaming Systems: A Cooperative Learning Approach,” IEEE Transactions on Mobile Computing, Vol. 24, no. 2, pp. 539-556, Feb 2025. [paper]
[27] Meng Xue, Yinan Zhu, Wentao Xie, Zhixian Wang, Yanjiao Chen, Kui Jiang, and Qian Zhang, “MobHAR: Source-free Knowledge Transfer for Human Activity Recognition on Mobile Devices”, Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, Vol. 9, Issue 1, article no. 22, pp. 1-24, Jan 2025. [paper]
[28] Changkun Li, Junyi Jiang, Wei Chen, and Khaled B. Letaief, “Realtime Multiuser Multicarrier Communications,” IEEE Transactions on Wireless Communications, Vol. 24, no. 2, pp. 1234-1251, Feb 2025. [paper]
[29] Xiang Zhang, Ke Xiong, Wei Chen, Pingyi Fan, Bo Gao, and Khaled Ben Letaief, “Maximizing Harvested Energy in Natural Energy Powered RF WPT with Nonlinear EH Model,” IEEE Transactions on Wireless Communications, Early Access, Mar 2025. [paper]
[30] Xueying Gu, Qiong Wu, Pingyi Fan, Qiang Fan, Nan Cheng, Wen Chen, and Khaled Ben Letaief, “DRL-Based Resource Allocation for Motion Blur Resistant Federated Self-Supervised Learning in IoV,” IEEE Internet of Things Journal, Vol. 12, no. 6, pp. 7067-7085, Mar 2025. [paper]
[31] Kangwei Qi, Qiong Wu, Pingyi Fan, Nan Cheng, Wen Chen, and Khaled Ben Letaief, “Reconfigurable-Intelligent-Surface-Aided Vehicular Edge Computing: Joint Phase-Shift Optimization and Multiuser Power Allocation,” IEEE Internet of Things Journal, Vol. 12, no. 1, pp. 764-777, Jan 2025. [paper]
[32] Maoxin Ji, Qiong Wu, Pingyi Fan, Nan Cheng, Wen Chen, Jiangzhou Wang, and Khaled B. Letaief, “Graph Neural Networks and Deep Reinforcement Learning-Based Resource Allocation for V2X Communications,” IEEE Internet of Things Journal, Vol. 12, no. 4, pp. 3613-3628, Feb 2025. [paper]
[33] Kangwei Qi, Qiong Wu, Pingyi Fan, Nan Cheng, Wen Chen, Jiangzhou Wang, and Khaled B. Letaief, “Deep-Reinforcement-Learning-Based AoI-Aware Resource Allocation for RIS-Aided IoV Networks,” IEEE Transactions on Vehicular Technology, Vol. 74, no. 1, pp. 1365-1378, Jan 2025. [paper]
[34] Hongwei Zhang, Meixia Tao, Yaping Sun, and Khaled B. Letaief, “Improving Learning-Based Semantic Coding Efficiency for Image Transmission via Shared Semantic-Aware Codebook,” IEEE Transactions on Communications, Vol. 3, no. 2, pp. 1217-1232, Feb 2025. [paper]
[35] Cui Zhang, Wenjun Zhang, Qiong Wu, Pingyi Fan, Qiang Fan, Jiangzhou Wang, and Khaled B. Letaief, “Distributed Deep Reinforcement Learning-Based Gradient Quantization for Federated Learning Enabled Vehicle Edge Computing,” IEEE Internet of Things Journal, Vol. 12, no. 5, pp. 4899-4913, Mar 2025. [paper]
[36] Changyuan Zhao, Hongyang Du, Dusit Niyato, Jiawen Kang, Zehui Xiong, Dong In Kim, Xuemin Shen, and Khaled B. Letaief, “Generative AI for Secure Physical Layer Communications: A Survey,” IEEE Transactions on Cognitive Communications and Networking, Vol. 11, no. 1, pp. 3-26, Feb 2025. [paper]
[37] Ziming Guo, Xu Zhu, Zhongxiang Wei, Jie Cao, Yufei Jiang, Vincent K. N. Lau, and Sumei Sun, “QoS-Aware Joint Massive Random Access Control and Resource Allocation With Colliding Preamble Reuse for Prioritized IoT,” IEEE Transactions on Vehicular Technology, Early Access, Feb 2025. [paper]
[38] Sihua Wang, Huayan Guo, Xu Zhu, Changchuan Yin, and Vincent K. N. Lau, “Communication-Efficient Distributed Bayesian Federated Learning over Arbitrary Graphs,” IEEE Transactions on Signal Processing, Early Access, Feb 2025. [paper]
[39] Zhouxiang Zhao, Zhaohui Yang, Ye Hu, Chen Zhu, Mohammad Shikh-Bahaei, Wei Xu, Zhaoyang Zhang, and Kaibin Huang, “Compression Ratio Allocation for Probabilistic Semantic Communication with RSMA,” IEEE Transactions on Communications, Early Access, Mar 2025. [paper]
[40] Jinwen Liang, Song Guo, Zicong Hong, Enyuan Zhou, Chuan Zhang, and Bin Xiao, “SecPQ: Secure Prediction Queries on Encrypted Outsourced Databases,” IEEE Transactions on Dependable and Secure Computing, Early Access, Mar 2025. [paper]
[41] Yi Liu, Song Guo, Jie Zhang, Yufeng Zhan, Qihua Zhou, and Yingchun Wang, “Feature Correlation-Guided Knowledge Transfer for Federated Self-Supervised Learning,” IEEE Transactions on Neural Networks and Learning Systems, Early Access, Mar 2025. [paper]
[42] Xin Zhang, Shenghui Song, and Khaled B. Letaief, “Fundamental Limits of Non-Centered Non-Separable Channels and Their Application in Holographic MIMO Communications,” IEEE Transactions on Information Theory, Early Access, Mar 2025. [paper]
[43] Xiaoyu Zhao, Ying-Jun Angela Zhang, Meng Wang, Xiang Chen, and Yue Li, “Achieving High Average User-Perceived Throughput (UPT): Multi-User Scheduling for Downlink Transmissions,” IEEE Transactions on Communications, Early Access, Mar 2025. [paper]
[44] Li Wang, Zilu Liu, Ruitao Ma, and C. Patrick Yue, “A Compact 20–24-GHz Sub-Sampling PLL With Charge-Domain Bandwidth Control Scheme,” IEEE Journal of Solid-State Circuits, Vol. 60, no. 3, pp. 768-784, Mar 2025. [paper]
[45] Meng Xue , Zhixian Wang , Qian Zhang , Xueluan Gong , Zhihang Liu, and Yanjiao Chen, “ARTEMIS: Defending Against Backdoor Attacks via Distribution Shift,” IEEE Transactions on Dependable and Secure Computing, Vol. 22, no. 2, pp. 1781-1795, Mar-Apr 2025. [paper] 
[46] Lei Zhang, Yazhou Ma, Mingzi Zuo, Zhen Ling, Changyu Dong, Guangquan Xu, Lin Shu, Xiaochen Fan, and Qian Zhang, “Toward Cross-Environment Continuous Gesture User Authentication With Commercial Wi-Fi,” IEEE Transactions on Networking, Early Access, Mar 2025. [paper]
[47] Qunsong Zeng, Zhanwei Wang, You Zhou, Hai Wu, Lin Yang, and Kaibin Huang, “Knowledge-Based Ultra-Low-Latency Semantic Communications for Robotic Edge Intelligence,” IEEE Transactions on Communications, Vol. 73, no. 7, pp. 4925-4940, Jul 2025. [paper]
[48] Gaochang Xie, Zehui Xiong, Renchao Xie, Xiumei Deng, Song Guo, Mohsen Guizani, and Zhu Han, “Mixture of Experts-Enabled Parallel Scheduling and Processing for Vehicular Generative AI Services,” IEEE Transactions on Cognitive Communications and Networking, Early Access, May 2025. [paper]
[49] Shijing Yuan, Beiyu Dong, Jie Li, Song Guo, Hongyang Chen, Chentao Wu, Jie Wu, and Wei Zhao, “Adaptive Incentivize for Federated Learning With Cloud-Edge Collaboration Under Multi-Level Information Sharing,” IEEE Transactions on Computers, Vol. 74, no. 7, pp. 2445-2460, May 2025. [paper]
[50] Yuhan Wang, Youlong Wu, Shuai Ma, and Ying-Jun Angela Zhang, “Task-Oriented Lossy Compression With Data, Perception, and Classification Constraints,” IEEE Journal on Selected Areas in Communications, Vol. 43, no. 7, pp. 2635-2650, Jul 2025. [paper]
[51] Kai Zhang, Hengtao He, Shenghui Song, Jun Zhang, and Khaled B. Letaief, “Communication-Efficient Distributed On-Device LLM Inference Over Wireless Networks,” IEEE Journal of Selected Topics in Signal Processing, Early Access, Jun 2025. [paper]
[52] Jiacheng Yao, Wei Xu, Guangxu Zhu, Kaibin Huang, and Shuguang Cui, “Energy-Efficient Edge Inference in Integrated Sensing, Communication, and Computation Networks,” IEEE Journal on Selected Areas in Communications, Vol. 43, no. 10, pp. 3580-3595, Oct 2025. [paper]
[53] Xiaoming Yuan, Hansen Tian, Xinling Zhang, Hongyang Du, Kaibin Huang, and Lin Cai, “Digital Twin-Driven MADRL Approaches for Communication-Computing-Control Co-Optimization,” IEEE Journal on Selected Areas in Communications, Vol. 43, no. 10, pp. 3596-3611, Oct 2025. [paper]
[54] Zhouxiang Zhao, Zhaohui Yang, Mingzhe Chen, Chen Zhu, Wei Xu, Zhaoyang Zhang, and Kaibin Huang, “Energy-Efficient Probabilistic Semantic Communication Over Space-Air-Ground Integrated Networks,” IEEE Transactions on Wireless Communications, Vol. 24, no. 10, pp. 8814-8829, Oct 2025. [paper]
[55] Hai Wu, Xu Chen, and Kaibin Huang, “Resource Management for Low-Latency Cooperative Fine-Tuning of Foundation Models at the Network Edge,” IEEE Transactions on Wireless Communications, Vol. 24, no. 6, pp. 4839-4852, Jun 2025. [paper]
[56] Zixin Wang, Yuanming Shi, and Khaled. B. Letaief, “Edge Large AI Models: Collaborative Deployment and IoT Application,” IEEE Internet of Things Magazine, Early Access, Jun 2025. [paper]
[57] Yu Xie, Qiong Wu, Pingyi Fan, Nan Cheng, Wen Chen, Jiangzhou Wang, and Khaled B. Letaief, “Resource Allocation for Twin Maintenance and Task Processing in Vehicular Edge Computing Network,” IEEE Internet of Things Journal, Vol. 12, no. 15, pp. 32008-32021, Aug 2025. [paper]
[58] Huiqiang Xie, Zhijin Qin, Zhu Han, and Khaled B. Letaief, “Hybrid Digital-Analog Semantic Communications,” IEEE Journal on Selected Areas in Communications, Vol. 43, no. 7, pp. 2478-2492, Jul 2025. [paper]
[59] Yi-Jing Liu,Hongyang Du, Xinyi Xu, Ruichen Zhang, Gang Feng, Bin Cao, Dusit Niyato, Dong In Kim, Abbas Jamalipour, Khaled Ben Letaief, and Rahim Tafazolli, “A Survey of Integrating Generative Artificial Intelligence and 6G Mobile Services: Architectures, Solutions, Technologies and Outlooks,” IEEE Transactions on Cognitive Communications and Networking, Vol. 11, no. 3, pp. 1334-1356, Jun 2025. [paper]
[60] Shaokang Zhao, Li Wang, and C. Patrick Yue, “A 5–10-GHz Quadrature Clock Generator With Open-Loop Quadrature Error Correction in 28-nm CMOS,” IEEE Solid-State Circuits Letters, Vol. 8, pp. 149-152, May 2025. [paper]
[61] Zilu Liu, Li Wang, Ruitao Ma, Zhijian Chen, and C. Patrick Yue, “A Compact 28-GHz Transmitter Front End With Co-Optimized Wideband Chip–Antenna Interface,” IEEE Transactions on Microwave Theory and Techniques, Early Access, May 2025. [paper]
[62] Hanjiang Hong, Kai-Kit Wong, Hao Xu, Yin Xu, Hyundong Shin, Ross Murch, Dazhi He, and Wenjun Zhang, “Downlink OFDM-FAMA in 5G-NR Systems,” IEEE Transactions on Wireless Communications, Early Access, Jun 2025. [paper]
[63] Amus Chee Yuen Goay, Deepak Mishra, Ross Murch, and Aruna Seneviratne, “Enhancing Backscatter Communication Through Signal Subtraction Technique,” IEEE Transactions on Wireless Communications, Early Access, Jun 2025. [paper]
[64] Jun Qian, Ross Murch, and Khaled B. Letaief, “Performance Analysis of STAR-RIS-Assisted Cell-Free Massive MIMO Systems with Electromagnetic Interference and Phase Errors,” IEEE Transactions on Wireless Communications, Early Access, Oct 2025. [paper]
[65] Xiao Xu, Qiong Wu, Pingyi Fan, Kezhi Wang, Nan Cheng, Wen Chen, and Khaled B. Letaief, “Enhanced Velocity-Adaptive Scheme: Joint Fair Access and Age of Information Optimization in Vehicular Networks,” IEEE Transactions on Mobile Computing, Early Access, Oct 2025. [paper]
[66] Tianyi Liao, Wei Guo, Hengtao He, Shenghui Song, Jun Zhang, and Khaled B. Letaief, “Joint Beamforming and Antenna Position Optimization for Fluid Antenna-Assisted MU-MIMO Networks,” IEEE Journal on Selected Areas in Communications, Early Access, Sept 2025. [paper]
[67] Zixin Wang, Yuanming Shi, Yong Zhou, Jingyang Zhu, and Khaled B. Letaief, “Edge Large AI Models: Revolutionizing 6G Networks,” IEEE Communications Magazine, Vol. 63, no. 10, pp. 36-42, Oct 2025. [paper]
[68] Xun Li, Qiong Wu, Pingyi Fan, Kezhi Wang, Nan Cheng, and Khaled B. Letaief, “Federated Learning Assisted Edge Caching Scheme Based on Lightweight Architecture DDPM,” IEEE Networking Letters, Early Access, Aug 2025. [paper]
[69] Hengtao He, Xianghao Yu, Jun Zhang, Shenghui Song, Ross D. Murch, and Khaled B. Letaief, “Cell-Free Massive MIMO Detection: A Distributed Expectation Propagation Approach,” IEEE Transactions on Mobile Computing, Vol. 24, no. 11, Nov 2025. [paper]
[70] Tailin Zhou, Jiadong Yu, Jun Zhang, and Danny H.K. Tsang, “Federated Prompt-based Decision Transformer for Resource Allocation of Customized VR Streaming in Mobile Edge Computing,” IEEE Transactions on Wireless Communications, Early Access, Jul 2025. [paper]
[71] Shumin Lian, Jingwen Tong, Jun Zhang, and Liqun Fu, “Intelligent Channel Allocation for IEEE 802.11be Multi-Link Operation: When MAB Meets LLM,” IEEE Journal on Selected Areas in Communications, Early Access, Jun 2025. [paper]
[72] Zhaoyang Ming, Shanpu Shen, Junhui Rao, Zan Li, Jichen Zhang, Chi-Yuk Chiu, and Ross Murch, “A Hybrid Transmitting and Reflecting Beyond-Diagonal Reconfigurable Intelligent Surface With Independent Beam Control and Power Splitting,” IEEE Transactions on Microwave Theory and Techniques, Early Access, Oct 2025. [paper]
[73] Noor Waqar, Kai-Kit Wong, Chan-Byoung Chae, and Ross Murch, “Turbocharging Fluid Antenna Multiple Access,” IEEE Transactions on Wireless Communications, Early Access, Sept 2025. [paper]
[74] Noor Waqar, Kai-Kit Wong, Chan-Byoung Chae, and Ross Murch, “Turbocharging Fluid Antenna Multiple Access,” IEEE Transactions on Wireless Communications, Early Access, Sept 2025. [paper]
[75] Junhui Rao, Zhaoyang Ming, Jichen Zhang, Chi-Yuk Chiu, and Ross Murch, “Cost-Effective Enhancement of RF Switch Performance Utilizing Novel Coupling Structures,” IEEE Transactions on Microwave Theory and Techniques, Early Access, Sept 2025. [paper]
[76] Boyi Tang, Hao Xu, Kai-Kit Wong, Kaitao Meng, Ross Murch, Chan-Byoung Chae, and Yangyang Zhang, “Full-Duplex FAS-assisted Base Station for ISAC,” IEEE Transactions on Wireless Communications, Early Access, Aug 2025. [paper]
[77] Yulan Yuan, Danny H. K. Tsang, and Vincent K. N. Lau, “Step Size Adaptation for Accelerated Stochastic Momentum Algorithm Using SDE Modeling and Lyapunov Drift Minimization,” IEEE Transactions on Signal Processing, Vol. 73, pp. 3124-3139, Jul 2025. [paper]
[78] Hyung-Joo Moon, Hanju Yoo, Kaibin Huang, Chan-Byoung Chae, and Robert W. Heath, “MAP-X: Massive Field Data Processing for Real-Time Wide-Area Mapping Using High-Altitude Platforms with MIMO,” IEEE Transactions on Wireless Communications, Early Access, Sept 2025. [paper]
[79] Anders E. Kalør, Petar Popovski, and Kaibin Huang, “Data Sourcing Random Access using Semantic Queries for Massive IoT Scenarios,” IEEE Transactions on Communications, Early Access, Sept 2025. [paper]
[80] Zhiyan Liu, and Kaibin Huang, “Semantic-Relevance Based Sensor Selection for Edge-AI Empowered Sensing Systems,” IEEE Transactions on Wireless Communications, Early Access, Sept 2025. [paper]
[81] Zheng Lin, Guanqiao Qu, Qiyuan Chen, Xianhao Chen, Zhe Chen, and Kaibin Huang, “Pushing Large Language Models to the 6G Edge: Vision, Challenges, and Opportunities,” IEEE Communications Magazine, Vol. 63, no. 9, pp. 52-59, Sept 2025. [paper]
[82] Ziqin Zhou, Xiaoyang Li, Guangxu Zhu, Bingpeng Zhou, Hong Xing, and Kaibin Huang, “Integrated Sensing-Communication-Computation Design for Energy Efficient Data Processing,” IEEE Transactions on Network Science and Engineering, Early Access, Sept 2025. [paper]
[83] Mingyao Cui, Qunsong Zeng, and Kaibin Huang, “Rydberg Atomic Receiver: Next Frontier of Wireless Communications,” IEEE Communications Magazine, Early Access, Aug 2025. [paper]
[84] Zhiyan Liu, Xu Chen, Hai Wu, Zhanwei Wang, Xianhao Chen, Dusit Niyato, and Kaibin Huang, “Integrated Sensing and Edge AI: Realizing Intelligent Perception in 6G,” IEEE Communications Surveys & Tutorials, Early Access, Jul 2025. [paper]
[85] Zhiyan Liu, Xu Chen, Hai Wu, Zhanwei Wang, Xianhao Chen, Dusit Niyato, and Kaibin Huang, “Integrated Sensing and Edge AI: Realizing Intelligent Perception in 6G,” IEEE Communications Surveys & Tutorials, Early Access, Jul 2025. [paper]
[86] Jiacheng Yao, Wei Xu, Guangxu Zhu, Zhaohui Yang, Kaibin Huang, and Dusit Niyato, “Over-the-Air Multi-task Federated Learning via Cost-Effective Hybrid Beamforming,” IEEE Transactions on Signal Processing, Early Access, Jul 2025. [paper]
[87] Lin Chen, Xiaojun Yuan, and Ying-Jun Angela Zhang, “Quasi-Orthogonal Beamforming in Near-Field Line-of-Sight MIMO Channel,” IEEE Transactions on Wireless Communications, Early Access, Sept 2025. [paper]
[88] Lin Chen, Ahmed Elzanaty, Mustafa A. Kishk, and Ying-Jun Angela Zhang, “Joint Coverage and Electromagnetic Field Exposure Analysis in Downlink and Uplink for RIS-Assisted Networks,” IEEE Transactions on Wireless Communications, Early Access, Jun 2025. [paper]
[89] Xin Yuan, Ning Li, Quan Chen, Wenchao Xu, and Song Guo, “ERA: a QoE-Aware Collaborative Inference Algorithm for NOMA-based Edge Intelligence,” IEEE Transactions on Mobile Computing, Early Access, Sept 2025. [paper]
[90] Fahao Chen, Peng Li, Zicong Hong, Zhou Su, and Song Guo, “Communication-Efficient Sparsely-Activated Model Training via Sequence Migration and Token Condensation,” IEEE Transactions on Networking, Early Access, Jul 2025. [paper]
[91] Wanting Yang, Zehui Xiong, Song Guo, Shiwen Mao, Dong In Kim, and Merouane Debbah, “Efficient Multi-User Offloading of Personalized Diffusion Models: A DRL-Convex Hybrid Solution,” IEEE Transactions on Mobile Computing, Vol. 24, no. 9, pp. 9092-9109, Sept 2025. [paper]
[92] Chongyun Zhang, Li Wang, Fuzhan Chen, Quan Pan, Xianbo Li, and C. Patrick Yue, “A 48-Gb/s Inductorless PAM-4 Optical Receiver With 1.28-pJ/bit Efficiency in 28-nm CMOS,” IEEE Journal of Solid-State Circuits, Early Access, Sept 2025. [paper]
[93] Chongyun Zhang, Li Wang, Fuzhan Chen, and C. Patrick Yue, A 0.32-pJ/b 100-Gb/s PAM-4 TIA in 28-nm CMOS,” IEEE Solid-State Circuits Letters, Vol. 8, pp. 273-276, Aug 2025. [paper]
[94] Geng Sun, Yixian Wang, Dusit Niyato, Jiacheng Wang, Xinying Wang, H. Vincent Poor, and Khaled B. Letaief, “Large Language Model (LLM)-enabled Graphs in Dynamic Networking,” IEEE Network, Vol. 39, no. 4, pp. 290-301, Jul 2025. [paper]
[95] Yao Zhang, Yuyi Mao, Hui Wang, Zhiwen Yu, Song Guo, Jun Zhang, Liang Wang, and Bin Guo, “Orchestrating Joint Offloading and Scheduling for Low-Latency Edge SLAM,” IEEE Transactions on Mobile Computing, Vol. 24, no. 8, pp. 6901-6917, Aug 2025. [paper]
[96] Jingyao Li, Pengguang Chen, Xuan Ju, Shu Liu, Hong Xu, and Jiaya Jia, “VLPose: Bridging the Domain Gap in Pose Estimation With Language-Vision Tuning,” IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 47, no. 11, pp. 10836-10847, Nov 2025. [paper]
[97] Chenggao Li, Junyao Peng, Qingyong Hu, Lin Chen, Yandao Huang, Shun Wu, Weibin Cheng, and Qian Zhang, “PracticalBP: Continuous Cuffless Blood Pressure Monitoring with Only One Record for Calibration,” Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, Vol. 9, Issue 3, Article No. 100, Pages 1-31, Sept 2025. [paper]
[98] Haiyan Hu, Yinan Zhu, Shanwen Chen, Qianyi Huang, and Qian Zhang, “FruitPhone: Detecting Sugar Content in Fruits Using Unmodified Smartphones with Spectral Imaging,” Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, Vol. 9, Issue 3, Article No. 86, Pages 1-29, Sept 2025. [paper]
[99] Yinan Zhu, Haiyan Hu, Baichen Yang, Qianyi Huang, Qian Zhang, and Wei Li, “FreshSpec: Sashimi Freshness Monitoring With Low-Cost Multispectral Devices,” IEEE Transactions on Mobile Computing, Vol. 24, no. 11, pp. 11910-11926, Nov 2025. [paper]
[100] Yinan Zhu, Haiyan Hu, Baichen Yang, Qianyi Huang, Qian Zhang, Wei Li, “FreshSpec: Sashimi Freshness Monitoring With Low-Cost Multispectral Devices,” IEEE Transactions on Mobile Computing, Vol. 24, no. 11, pp. 11910-11926, Nov 2025. [paper]
[101] Tuo Zhang, Ning Li, Xin Yuan, Wenchao Xu, Quan Chen, Song Guo, Haijun Zhang,”Efficient Edge LLMs Deployment via HessianAware Quantization and CPU GPU Collaborative,” IEEE Transactions on Mobile Computing, Aug 2025. [paper]
[102] Enyuan Zhou, Song Guo, Zicong Hong, Christian S. Jensen, Yang Xiao, Jinwen Liang, and Dalin Zhang, “Pistis: A Decentralized Knowledge Graph Platform Enabling Ownership-Preserving SPARQL Querying,” Proceedings of the VLDB Endowment, Vol. 18, no. 11, pp. 4602-4615, Jul 2025. [paper]
[103] Ning Li, Song Guo, Tuo Zhang, Muqing Li, Zicong Hong, Qihua Zhou, Xin Yuan, and Haijun Zhang, “The MoE-Empowered Edge LLMs Deployment: Architecture, Challenges, and Opportunities,” IEEE Communications Magazine, Early Access, Aug 2025. [paper]
[104] Quan Chen, Zhipeng Cai, Jing Li, Ning Li, Lianglun Cheng, Hong Gao, and Song Guo, “Structure-Adaptive and Power-Aware Broadcast Scheduling for Multihop Wireless-Powered IoT Networks,” ACM Transactions on Sensor Networks, Vol. 21, Issue 1, Article No. 4, pp. 1 – 32, Jan 2025. [paper]
[105] Xin Yuan, Ning Li, Quan Chen, Wenchao Xu, and Song Guo, “ERA: a QoE-Aware Collaborative Inference Algorithm for NOMA-based Edge ,” IEEE Transactions on Mobile Computing, IEEE Transactions on Mobile Computing, Early Access, Sept 2025. [paper]
[106] Nilesh Kumar Jha, Huayan Guo, and Vincent K. N. Lau, “Bayesian Deep End-to-End Learning for MIMO-OFDM System with Delay-Domain Sparse Precoder,” Apr 2025. [paper]
[107] Lin Chen, Chang Cai, Huiyuan Yang, Xiaojun Yuan, and Ying-Jun Angela Zhang, “Scoring ISAC: Benchmarking Integrated Sensing and Communications via Score-Based Generative Modeling,” Journal of Communications and Information Networks, Vol. 10, no. 3, pp. 224-245, Sept 2025. [paper]
[108] Jingwen Tong, Jiawei Shao, Qiong Wu, Wei Guo, Zijian Li, Zehong Lin, and Jun Zhang, “WirelessAgent: Large Language Model Agents for Intelligent Wireless Networks,” China Communications, Nov 2025. [paper]
Journal Papers (2024)
[1] Yifei Shen, J. Shao, X. Zhang, Z. Lin, H. Pan, D. Li, Jun Zhang, and Khaled Ben Letaief, “Large language models empowered autonomous edge AI for connected intelligence,” IEEE Communications Magazine, Vol. 62, no. 10, pp. 140-146, Oct 2024. [paper]
[2] Hang Liu, Jia Yan, and Ying-Jun Angela Zhang, “Differentially Private Over-the-Air Federated Learning over MIMO Fading Channels,” IEEE Transactions on Wireless Communications, Vol. 23, no. 8, pp. 8232-8247, Aug 2024. [paper]
[3] Jun Qian, Shanpu Shen, and Ross Murch, “Including Antenna Effects into Capacity Formulations of Line-of-Sight MIMO Channels,” IEEE Wireless Communication Letters, Vol.13, no. 9, pp. 2477-2481, Sept 2024. [paper]
[4] Chengyu Xia, Huayan Guo, Haoyu Ma, Danny H. K. Tsang, and Vincent K. N. Lau, “Multi-resolution Model Compression for Deep Neural Networks: A Variational Bayesian Approach,” IEEE Transactions on Signal Processing, Vol. 72, pp. 1944-1959, 2024. [paper]
[5] Zhanwei Wang, Kaibin Huang, and Yonina C. Eldar, “Spectrum Breathing: Protecting Over-the-Air Federated Learning Against Interference,” IEEE Transactions on Wireless Communications, Vol. 23, no. 8, pp. 10058-10071, Aug. 2024. [paper]
[6] Hai Wu, Qunsong Zeng, and Kaibin Huang, “Efficient Multiuser AI Downloading via Reusable Knowledge Broadcasting,” IEEE Transactions on Wireless Communications, Vol. 23, no. 8, pp. 10459-10472, Aug. 2024. [paper]
[7] Jiawei Shao, Fangzhao Wu, and Jun Zhang, “Selective knowledge sharing for privacy-preserving federated distillation without a good teacher,” Nature Communications, Vol 15, Article no.: 349, 2024. [paper]
[8] Hua Kang, Qingyong Hu, and Qian Zhang, “SF-Adapter: Computational-Efficient Source-Free Domain Adaptation for Human Activity Recognition,” Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, Vol. 7, no. 4, Article 164, pp. 1–23, Dec. 2023. [paper]
[9] Wentao Xie, Huangxun Chen, Jing Wei, Jin Zhang, and Qian Zhang, “RimSense: Enabling Touch-based Interaction on Eyeglass Rim using Piezoelectric Sensors,” Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, Vol. 7, no. 4, Article 191, pp. 1–24, Dec. 2023. [paper]
[10] Meng Xue, Yuyang Zeng, Shengkang Gu, Qian Zhang, Bowei Tian, and Changzheng Chen, “SDE: Early Screening for Dry Eye Disease with Wireless Signals,” Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, Vol. 7, no. 4, Article No 194, pp. 1–23, Dec. 2023. [paper]
[11] Xiaoyang Li, Zidong Han, Guangxu Zhu, Yuanming Shi, Jie Xu, Qinyu Zhang, Kaibin Huang, and Khaled Ben Letaief, “Integrating sensing, communication, and power transfer: From theory to practice,” IEEE Communications Magazine, Vol. 62, no. 9, pp. 122-127, Sept 2024. [paper]
[12] Y. Cang, M. Chen, and Kaibin Huang, “Joint Batching and Scheduling for High-Throughput Multiuser Edge AI with Asynchronous Task Arrivals,” IEEE Transactions on Wireless Communications, Vol. 23, no. 10, pp. 13782-13795, Oct 2024. [paper]
[13] Wentao Yu, Hengtao He, Xianghao Yu, Shenghui Song, Jun Zhang, Ross Murch, and Khaled Ben Letaief, “Bayes-Optimal Unsupervised Learning for Channel Estimation in Near-Field Holographic MIMO,” IEEE Journal of Selected Topics in Signal Processing, Vol. 18, no. 4, pp. 714-729, May 2024. [paper]
[14] Lintao Li, Wei Chen, and Khaled Ben Letaief, “Wireless Communications with Hard Delay Constraints: Cross-Layer Scheduling with Its Performance Analysis,” Internet of Things Journal, Vol. 11, no, 20, pp. 32540-32556, Oct 2024. [paper]
[15] Bokai Xu, Jiayi Zhang, Hongyang Du, Zhe Wang, Yuanwei Liu, Dusit Niyato, Bo Ai, and Khaled Ben Letaief, “Resource allocation for near-field communications: Fundamentals, tools, and outlooks,” IEEE Wireless Communications, Vol. 31, no. 5, pp. 42-50, Oct 2024. [paper]
[16] Xu Chen, Khaled Ben Letaief, and Kaibin Huang, “On the view-and-channel aggregation gain in integrated sensing and edge AI,” IEEE Journal on Selected Areas in Communications, Vol. 42, no. 9, pp. 2292-2305, Sept 2024. [paper]
[17] Xiaoqi Wang, Hongyang Du, Yuehong Gao*, Jiayi Zhang, Dusit Niyato, and Khaled B. Letaief, “Secure Body-Centric Internet of Things Networks: Physical layer Security vs Covert Communication,” IEEE Transactions on Wireless Communications, Vol. 3, no. 10, pp. 12731-12748, Oct 2024. [paper]
[18] Qiong Wu, Wenhua Wang, Pingyi Fan, Qiang Fan, Jiangzhou Wang, and Khaled Ben Letaief, “URLLC-awared resource allocation for heterogeneous vehicular edge computing,” IEEE Transactions on Vehicular Technology, Vol. 73, no. 8, pp. 11789-11805, Aug. 2024. [paper]
[19] Jiakang Zheng, Jiayi Zhang, Hongyang Du, Dusit Niyato. Sumei Sun, Bo Ai, and Khaled Ben Letaief, “Flexible-Position MIMO for Wireless Communications: Fundamentals, Challenges, and Future Directions,” IEEE Wireless Communications, Vol. 31, no. 5, pp. 18-26, Oct 2024. [paper]
[20] Yuchen Shi, Pingyi Fan, Zheqi Zhu, Chenghui Peng, Fei Wang, and Khaled Ben Letaief, “SAM: An efficient approach with selective aggregation of models in federated learning,” IEEE Internet of Things Journal, Vol. 11, no. 11, pp. 20769-20783, 01 Jun. 2024. [paper]
[21] Xingcong Tian, Ke Xiong, Ruichen Zhang, Pingyi Fan, Dusit Niyato, and Khaled Ben Letaief, “Sum Rate Maximization in Multi-Cell MultiUser Networks: An Inverse Reinforcement Learning-Based Approach,” IEEE Wireless Communications Letters, Vol. 13, no. 1, pp. 4-8, Jan. 2024. [paper]
[22] Zhe Wang, Jiayi Zhang, Hongyang Du, Dusit Niyato, Shuguang Cui, Bo Ai, Merouane Debbah, Khaled Ben Letaief, and H. Vincent Poor, “A tutorial on extremely large-scale MIMO for 6G: Fundamentals, signal processing, and applications,” IEEE Communications Surveys and Tutorials, Vol. 26, no. 3, pp. 1560-1605, thirdquarter 2024. [paper]
[23] Yiyang Ge, Ke Xiong, Qiong Wang, Qiang Ni, Pingyi Fan, and Khaled Ben Letaief, “AoI-minimal power adjustment in RF-EH-powered industrial IoT networks: A soft actor-critic-based method,” IEEE Transactions on Mobile Computing, Vol. 23, pp. 8729-8741, Sept. 2024. [paper]
[24] Quan Chen, Song Guo, Kaijia Wang, Wenchao Xu, Jing Li, Zhipeng Cai, Hong Gao, and Albert Zomaya, “Towards Real-Time Inference Offloading with Distributed Edge Computing: the Framework and Algorithms,” IEEE Transactions on Mobile Computing, Vol. 23, no. 7, pp. 7552-7571, Jul 2024. [paper]
[25] Tailin Zhou, Jun Zhang, and Danny H. K. Tsang, “FedFA: Federated learning with feature anchors to align feature and classifier for heterogeneous data,” IEEE Transactions on Mobile Computing, Vol. 23, no. 6, pp. 6731-6742, Jun. 2024. [paper]
[26] Yuchang Sun, Zehong Lin, Yuyi Mao, Shi Jin and Jun Zhang, “Channel and gradient-importance aware device scheduling for over-the-air federated learning,” IEEE Transactions on Wireless Communications, Vol. 23, no. 7, pp. 6905-6920, Jul. 2024. [paper]
[27] Zijian Li, Yuchang Sun, Jiawei Shao, Yuyi Mao, Jessie Hui Wang, and Jun Zhang, “Feature matching data synthesis for non-IID federated learning,” IEEE Transactions on Mobile Computing, Vol. 23, no. 10, pp. 9325-9367, Oct 2024. [paper]
[28] Zijian Li, Zehong Lin, Jiawei Shao, Yuyi Mao, and Jun Zhang, “FedCiR: Client-invariant representation learning for federated non-IID features,” IEEE Transactions on Mobile Computing, Vol. 23, no. 11, pp. 10509-10522, Nov 2024. [paper]
[29] Tailin Zhou, Zehong Lin, Jun Zhang, and Danny H.K. Tsang, “Understanding and improving model averaging in federated learning on heterogeneous data,” IEEE Transactions on Mobile Computing, Vol. 23, no. 12, pp. 12131-12145, Dec 2024. [paper]
[30] Hongyi Wu, Xiaoying Tang, Ying-Jun Zhang, and Lin Gao, “Incentive Mechanism for Federated Learning With Random Client Selection,” IEEE Transactions on Network Science and Engineering, Vol. 11, no. 2, pp. 1922-1933, Mar-Apr 2024. [paper]
[31] Suzhi Bi, Zhenpeng Zhuo, Xiao-Hui Lin, Yuan Wu, and Ying-Jun Zhang, “Physical-Environment-Map-Aided 3-D Deployment Optimization for UAV-Assisted Integrated Localization and Communication in Urban Areas,” IEEE Internet of Things Journal, Vol. 11, no. 9, pp. 15490-15503 May 2024. [paper]
[32] Xiao-Hui Lin, Suzhi Bi, Gongchao Su, and Ying-Jun Zhang, “A Lyapunov-Based Approach to Joint Optimization of Resource Allocation and 3-D Trajectory for Solar-Powered UAV MEC Systems,” IEEE Internet of Things Journal, Vol. 11, no. 11, pp. 20797-20815, 01 Jun. 2024. [paper]
[33] Nilesh Kumar Jha, Huayan Guo, and Vincent K. N. Lau, “Analog Product Coding for Over-the-Air Aggregation Over Burst-Sparse Interference Multiple-Access Channels,” IEEE Transactions on Signal Processing, Vol. 72, pp. 157-172, 2024. [paper]
[34] Yulan Yuan, Danny H. K. Tsang, and Vincent K. N. Lau, “Combining Conjugate Gradient and Momentum for Unconstrained Stochastic Optimization With Applications to Machine Learning,” IEEE Internet of Things Journal, Vol. 11, no. 13, pp 23236-23254, 01 Jul. 2024. [paper]
[35] Noor Waqar, Kai-Kit Wong, Chan-Byoung Chae, Ross Murch, Shi Jin, and Adrian Sharples, “Opportunistic Fluid Antenna Multiple Access via Team-Inspired Reinforcement Learning,” IEEE Transactions on Wireless Communications, Vol. 23, no. 9, 12068-12083, Sept 2024. [paper]
[36] Ziqin Zhou, Xiaoyang Li, Guangxu Zhu, Jie Xu, Kaibin Huang, and Shuguang Cui, “Integrating Sensing, Communication, and Power Transfer: Multiuser Beamforming Design,” IEEE Journal on Selected Areas in Communications, Vol. 42, no. 9, pp. 2228-2242, Sept 2024. [paper]
[37] “Haihui Xie, Minghua Xia, Peiran Wu, Shuai Wang, and Kaibin Huang, “Decentralized Federated Learning with Asynchronous Parameter Sharing for Large-scale IoT Networks,” IEEE Internet of Things Journal, Vol. 11, no. 21, pp. 34123-34139, Nov 2024. [paper]
[38] Zhiyan Liu, Qiao Lan, Anders E. Kalør, Petar Popovski, and Kaibin Huang, “Over-the-Air Multi-View Pooling for Distributed Sensing,” IEEE Transactions on Wireless Communications, Vol. 23, no. 7, pp 7652-7667, Jul. 2024. [paper]
[39] Huayan Guo, and Vincent K. N. Lau, “Bayesian Hierarchical Sparse Autoencoder for Massive MIMO CSI Feedback,” IEEE Transactions on Signal Processing, Vol. 72, pp. 3213-3227, 05 Jul. 2024. [paper]
[40] Ranjan K Mallik, Ross Murch, “New Exact Higher Order Moment Expressions for the PAPR of Complex Gaussian Variables,” IEEE Wireless Communications Letters, Vol. 13, no. 2, pp. 382-386, Feb. 2024. [paper]
[41] Hengtao He, Xianghao Yu, Jun Zhang, Shenghui Song, Khaled Ben Letaief, “Message Passing Meets Graph Neural Networks: A New Paradigm for Massive MIMO Systems,” IEEE Transactions on Wireless Communications, Vol. 23, no. 5, pp. 4709-4723, May. 2024. [paper]
[42] Jing Li, Song Guo, Weifa Liang, Jianping Wang, Quan Chen, Zichuan Xu, Wenzheng Xu, “AoI-Aware User Service Satisfaction Enhancement in Digital Twin-Empowered Edge Computing,” IEEE/ACM Transactions on Networking, Vol. 32, no. 2, pp. 1677-1690, Apr. 2024. [paper]
[43] Chuan Zhang, Xingqi Luo, Jinwen Liang, Ximeng Liu, Liehuang Zhu, and Song Guo, “POTA: Privacy-Preserving Online Multi-Task Assignment with Path Planning,”IEEE Transactions on Mobile Computing, Vol. 23, no. 5, pp. 5999-6011, May. 2024. [paper]
[44] Zidong Han, Xiaoyang Li, Ziqin Zhou, Kaibin Huang, Yi Gong, Qinyu Zhang, “Wireless Communication and Control Co-Design for System Identification,” IEEE Transactions on Wireless Communications, Vol. 23, no. 5, pp. 4114-4126, May 2024. [paper]
[45] Yuan Zeng, Yi Gong, Jiawei Liu, Shangao Lin, Zidong Han, Ruoxiao Cao, Kaibin Huang, Khaled Ben Letaief, “Multi-Channel Attentive Feature Fusion for Radio Frequency Fingerprinting,” IEEE Transactions on Wireless Communications, Vol. 23, no. 5, pp. 4243-4254, May 2024. [paper]
[46] Chanyuan Meng, Ke Xiong, Wei Chen, Bo Gao, Pingyi Fan, Khaled Ben Letaief, “Sum-rate maximization in STAR-RIS assisted RSMA networks: A PPO-based algorithm,” IEEE Internet of Things Journal, Vol. 11, no. 4, pp. 5667-5680, 15 Feb 2024. [paper]
[47] Chengyu Xia, Danny Tsang, Vincent Lau, “Structured Bayesian Federated Learning for Green AI: A Decentralized Model Compression Using Turbo-VBI Based Approach,” IEEE Internet of Things Journal, Vol. 11, no. 7, pp. 12783-12798, Apr. 2024. [paper]
[48] Shijing Yuan, Beiyu Dong, Hongtao Lv, Hongze Liu, Hongyang Chen, Chentao Wu, Song Guo, Yue Ding, Jie Li, “Adaptive Incentivize for Cross-Silo Federated Learning in IIoT: A Multi-agent Reinforcement Learning Approach,” IEEE Internet of Things Journal, Vol. 11, no. 9, pp. 15048-15058, 01 May 2024. [paper]
[49] Liqun Su, Vincent Lau, “Accelerated Federated Learning over Wireless Fading Channels with Adaptive Stochastic Momentum,” IEEE Internet of Things Journal, Vol. 11, no. 8, pp. 14136-14152, 15 Apr 2024. [paper]
[50] Yuchang Sun, Yuyi Mao, Jun Zhang, “MimiC: Combating client dropouts in federated learning by mimicking central updates,” IEEE Transactions on Mobile Computing,Vol. 23, no. 7, pp. 7572-7584, Jul. 2024. [paper]
[51] Yujie Zhang, Shiwen Tang, Junhui Rao, Chi-Yuk Chiu, Xudong Chen, and Ross Murch, “A Dual-Port Dual-Beam Pattern-Reconfigurable Antenna With Independent 2-D Beam-Scanning,” IEEE Transactions on Antennas and Propagation, Vol. 72, no. 10, pp. 7628-7643, Oct 2024. [paper]
[52] Chang Cai, Xiaojun Yuan, and Ying-Jun Angela Zhang, “Multi-Device Task-Oriented Communication via Maximal Coding Rate Reduction,” IEEE Transactions on Wireless Communications, Vol. 23, no. 12, pp. 18096-18110, Dec 2024. [paper]
[53] Zihao Hu, Jia Yan, and Ying-Jun Angela Zhang, “Communication-Learning Co-Design for Differentially Private Over-the-Air Federated Learning With Device Sampling,” IEEE Transactions on Wireless Communications, Vol. 23, no. 11, pp. 16788-16804, Nov 2024. [paper]
[54] Hongru Li, Jiawei Shao, Hengtao He, Shenghui Song, Jun Zhang, and Khaled B. Letaief, “Tackling Distribution Shifts in Task-Oriented Communication with Information Bottleneck,” May 2024. [paper]
[55] Xin Yuan, Ning Li, Tuo Zhang, Muqing Li, Yuwen Chen, Jose Fernan Martinez Ortega, and Song Guo, “High Efficiency Inference Accelerating Algorithm for NOMA-Based Edge Intelligence,” IEEE Transactions on Wireless Communications, Vol. 23, no. 11, pp. 17539-17556, Nov 2024. [paper]
[56] Yuchang Sun, Marios Kountouris, and Jun Zhang, “How to Collaborate: Towards Maximizing the Generalization Performance in Cross-Silo Federated Learning,” IEEE Transactions on Mobile Computing, Vol. 24, no. 4, pp. 3211-3222, Dec 2024. [paper]
[57] Jingwen Tong, Xinran Li, Liqun Fu, Jun Zhang, and Khaled B. Letaief, “A Federated Online Restless Bandit Framework for Cooperative Resource Allocation,” IEEE Transactions on Mobile Computing, Vol. 23, no. 12, pp. 15274-15288, Dec 2024. [paper]
[58] Tailin Zhou, Jiadong Yu, Jun Zhang, and Danny H.K. Tsang, “Federated Prompt-based Decision Transformer for Customized VR Services in Mobile Edge Computing System,” Feb 2024. [paper]
[59] Jichen Zhang, Junhui Rao, Zan Li, Zhaoyang Ming, Chi-Yuk Chiu, Kai-Kit Wong, Kin-Fai Tong, and Ross Murch, “A Novel Pixel-Based Reconfigurable Antenna Applied in Fluid Antenna Systems With High Switching Speed,” IEEE Open Journal of Antennas and Propagation, Early Access, Nov 2024. [paper]
[60] Wee Kiat New, Kai-Kit Wong, Hao Xu, Farshad Rostami Ghadi, Ross Murch, and Chan-Byoung Chae, “Channel Estimation and Reconstruction in Fluid Antenna System: Oversampling is Essential,” IEEE Transactions on Wireless Communications, Early Access, Nov 2024. [paper]
[61] Linping Qu, Yuyi Mao, Shenghui Song, and Chi-Ying Tsui, “Energy-Efficient Channel Decoding for Wireless Federated Learning: Convergence Analysis and Adaptive Design,” IEEE Transactions on Wireless Communications, Vol. 23, no. 11, pp. 17222-17235, Nov 2024. [paper]
[62] Zhanwei Wang, Anders E. Kalør, You Zhou, Petar Popovski, and Kaibin Huang, “Ultra-Low-Latency Edge Inference for Distributed Sensing,” Jul 2024. [paper]
[63] Zhenyi Lin, Lin Yang, Yi Gong, and Kaibin Huang, “Semantic-Topology Preserving Quantization of Word Embeddings for Human-to-Machine Communications,” IEEE Transactions on Communications, Early Access, Oct 2024. [paper]
[65] Jiawei Liu, Yi Gong, and Kaibin Huang, “Digital Over-the-Air Computation: Achieving High Reliability via Bit-Slicing,” Apr 2024. [paper]
[66] Yinuo Huang, Chang Cai, Xiaojun Yuan, and Ying-Jun Angela Zhang, “Joint Active and Passive Beamforming for RIS-Aided Semantic Communication,” IEEE Transactions on Vehicular Technology, Vol. 73, no. 12, pp. 19815-19820, Dec 2024. [paper]
[67] Zeyang Hu, Changsheng You, Tianyu Liu, Dingzhu Wen, Ye Hu, Yuanhao Cui, Yi Gong, and Kaibin Huang, “Semantic Communication Meets Edge Intelligence: Semantic-Relay-Aided Text Transmissions,” IEEE Internet of Things Journal, Vol. 1, no. 24, pp. 39409-39423, Dec 2024. [paper]
[68] Yuyi Mao, Xianghao Yu, Kaibin Huang, Ying-Jun Angela Zhang, and Jun Zhang, “Green Edge AI: A Contemporary Survey,” Proceedings of the IEEE, Vol. 112, no. 7, pp. 880-911, July 2024. [paper]
[69] Cheng Feng, Kedi Zheng, Yi Wang, Kaibin Huang, and Qixin Chen, “Goal-Oriented Wireless Communication Resource Allocation for Cyber-Physical Systems,” IEEE Transactions on Wireless Communications, Vol. 23, no. 11, pp. 15768-15783, Nov 2024. [paper]
[70] Zhenzi Weng, Zhijin Qin, Huiqiang Xie, Xiaoming Tao, and Khaled B. Letaief, “Semantic MIMO Systems for Speech-to-Text Transmission,” IEEE Transactions on Wireless Communications, Vol. 23, no. 12, pp. 18697-18710, Dec 2024. [paper]
[71] Wee Kiat New, Kai-Kit Wong, Hao Xu, Chao Wang, Farshad Rostami Ghadi, Jichen Zhang, Junhui Rao, Ross Murch, and Pablo Ramírez-Espinosa, “A Tutorial on Fluid Antenna System for 6G Networks: Encompassing Communication Theory, Optimization Methods and Hardware Designs,” IEEE Communications Surveys & Tutorials, Early Access, Nov 2024 [paper]
[72] Yujie Zhang, Shiwen Tang, Junhui Rao, Chi-Yuk Chiu, Xudong Chen, Ross Murch, “A Dual-Port Dual-Beam Pattern-Reconfigurable Antenna with Independent 2-D Beam Scanning,” IEEE Transactions on Antennas and Propagation, Vol. 72, no. 10, pp. 7628-7643, Sep 2024 [paper]
[73] Xin Yuan, Ning Li, Tuo Zhang, Muqing Li, Yuwen Chen, Jose Fernan Martinez Ortega, and Song Guo, “High Efficiency Inference Accelerating Algorithm for NOMA-based Mobile Edge Intelligence,” IEEE Transactions on Wireless Communications, Vol. 23, no. 11, pp. 17539-17556, Nov 2024. [paper]
[74] Tailin Zhou, Jiadong Yu, Jun Zhang, and Danny H.K. Tsang, “Federated prompt-based decision transformer for customized VR services in mobile edge computing systems,” Feb 2024. [paper]
[75] Linping Qu, Yuyi Mao, Shenghui Song, and Chi-Ying Tsui, “Energy-Efficient Channel Decoding for Wireless Federated Learning: Convergence Analysis and Adaptive Design,” IEEE Transactions on Wireless Communications, Vol. 23, no. 11, pp. 17222-17235, Nov 2024. [paper]
[76] Xiaojia Wang, Suzhi Bi, Xian Li, Xiaohui Lin, Zhi Quan, and Ying-Jun Angela Zhang, “Capacity Analysis and Throughput Maximization of NOMA With Non-Linear Power Amplifier Distortion,” IEEE Transactions on Wireless Communications, Vol. 23, no. 12, pp. 18331-18345, Dec 2024. [paper]
[77] Minrui Xu, Dusit Niyato, Jiawen Kang, Zehui Xiong, Song Guo, Yuguang Fang, and Dong In Kim, “Generative AI-Enabled Mobile Tactical Multimedia Networks: Distribution, Generation, and Perception,” IEEE Communications Magazine, Vol. 62, no. 10, pp. 96-102, Oct 2024. [paper]
[78] Jing Li, Song Guo, Weifa Liang, Jianping Wang, Quan Chen, Zicong Hong, Zichuan Xu, Wenzheng Xu, and Bin Xiao, “AoI-Aware Service Provisioning in Edge Computing for Digital Twin Network Slicing Requests,” IEEE Transactions on Mobile Computing, Vol. 23, no. 12, pp. 14607-14621, Dec 2024. [paper]
[79] Xiaojie Wang, Beibei Wang, Yu Wu, Zhaolong Ning, Song Guo, and Fei Richard Yu, “A Survey on Trustworthy Edge Intelligence: From Security and Reliability To Transparency and Sustainability,” IEEE Communications Surveys & Tutorials, Early Access, Aug 2024. [paper]
[80] Tao Guo, Song Guo, and Junxiao Wang, “Explore and Cure: Unveiling Sample Effectiveness With Context-Aware Federated Prompt Tuning,” IEEE Transactions on Mobile Computing, Vol. 23, no. 12, pp. 14044-14054, Dec 2024. [paper]
[81] Xiaoxin Su, Yipeng Zhou, Laizhong Cui, Quan Z. Sheng, Yinggui Wang, and Song Guo, “Fast-Convergent Wireless Federated Learning: A Voting-Based TopK Model Compression Approach,” IEEE Journal on Selected Areas in Communications, Vol. 42, no. 11, pp. 3048-3063, Nov 2024. [paper]
[82] Zhicheng Luo, Qianyi Huang, Xu Chen, Rui Wang, Fan Wu, Guihai Chen, and Qian Zhang, “Spectrum Sensing Everywhere: Wide-Band Spectrum Sensing With Low-Cost UWB Nodes,” IEEE/ACM Transactions on Networking, Vol. 32, no. 3, pp. 2112-2127, Jun 2024. [paper]
[83] Wentao Xie, Chi Xu, Yanbin Gong, Yu Wang, Yuxin Liu, Jin Zhang, Qian Zhang, Zeguang Zheng, and Shifang Yang, “DeepBreath: Breathing Exercise Assessment with a Depth Camera”, Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, Vol. 8, no. 3, pp. 1-26, Sep 2024. [paper]
[84] Dingzhu Wen, Yong Zhou, Xiaoyang Li, Yuanming Shi, Kaibin Huang, Khaled B. Letaief, “A Survey on Integrated Sensing, Communication, and Computation,” IEEE Communications Surveys & Tutorials, Early Access, Dec 2024. [paper]
[85] Wei Chen, Yuanwei Liu, Hamid Jafarkhani, Yonina C. Eldar, Peiying Zhu, and Khaled B. Letaief, “Signal Processing and Learning for Next Generation Multiple Access in 6G,” IEEE Journal of Selected Topics in Signal Processing, Vol. 18, no. 7, pp. 1146-1177, Oct 2024. [paper]
[86] Xiang Zhang, Ke Xiong, Wei Chen, Pingyi Fan, Bo Ai, and Khaled Ben Letaief, “Minimizing AoI in High-Speed Railway Mobile Networks: DQN-Based Methods,” IEEE Transactions on Intelligent Transportation Systems, Vol. 25, no. 12, pp. 20137-20150, Dec 2024. [paper]
[87] Minrui Xu, Dusit Niyato, Jiawen Kang, Zehui Xiong, Shiwen Mao, Zhu Han, Dong In Kim, and Khaled B. Letaief, “When Large Language Model Agents Meet 6G Networks: Perception, Grounding, and Alignment,” IEEE Wireless Communications, Vol. 31, no. 6, pp. 63-71, Dec 2024. [paper]
[88] Zhiyu Shao, Qiong Wu, Pingyi Fan, Nan Cheng, Wen Chen, Jiangzhou Wang, and Khaled Ben Letaief, “Semantic-Aware Spectrum Sharing in Internet of Vehicles Based on Deep Reinforcement Learning,” IEEE Internet of Things Journal, Vol. 11, no. 23, pp. 38521-38536, Dec 2024. [paper]
[89] Yuanming Shi, Li Zeng, Jingyang Zhu, Yong Zhou, Chunxiao Jiang, and Khaled B. Letaief, “Satellite Federated Edge Learning: Architecture Design and Convergence Analysis,” IEEE Transactions on Wireless Communications, Vol. 23, no. 10, pp. 15212-15229, Oct 2024. [paper]
[90] Jin Mao, Ke Xiong, Ming Liu, Zhijin Qin, Wei Chen, Pingyi Fan, and Khaled Ben Letaief, “A GAN-Based Semantic Communication for Text Without CSI,” IEEE Transactions on Wireless Communications, Vol. 23, no. 10, pp. 14498-14514, Oct 2024. [paper]
[91] Youlong Wu, Yuanming Shi, Shuai Ma, Chunxiao Jiang, Wei Zhang, and Khaled B. Letaief, “Toward Effective and Interpretable Semantic Communications,” IEEE Network, vol. 38, no. 6, pp. 55-62, Nov 2024. [paper]
[92] Yangbo Guo, Ke Xiong, Bo Gao, Pingyi Fan, Derrick Wing Kwan Ng, and Khaled Ben Letaief, “Max–Min Fairness in Rate-Splitting Multiple-Access-Based VLC Networks With SLIPT,” IEEE Internet of Things Journal, Vol. 11, no. 22, pp. 36508-36520, Nov 2024. [paper]
[93] Hao Xu, Kai-Kit Wong, Wee Kiat New, Farshad Rostami Ghadi, Gui Zhou, Ross Murch, Chan-Byoung Chae, Yongxu Zhu, Shi Jin, “Capacity Maximization for FAS-assisted Multiple Access Channels,” IEEE Transactions on Communications, Early Access, Dec 2024. [paper]
[94] Junhui Rao, Yujie Zhang, Shiwen Tang, Zan Li, Zhaoyang Ming, Jichen Zhang, Chi-Yuk Chiu, and Ross Murch, “A Shared-Aperture Dual-Band Sub-6 GHz and mmWave Reconfigurable Intelligent Surface With Independent Operation,” IEEE Transactions on Microwave Theory and Techniques, Early Access, Dec 2024. [paper]
[95] Halvin Yang, Hao Xu, Kai-Kit Wong, Chan-Byoung Chae, Ross Murch, Shi Jin, and Yangyang Zhang, “Position Index Modulation for Fluid Antenna System,” IEEE Transactions on Wireless Communications, Vol. 23, no. 11, pp. 16773-16787, Nov 2024. [paper]
[96] Chao Wang, Zan Li, Kai-Kit Wong, Ross Murch, Chan-Byoung Chae, and Shi Jin, “AI-Empowered Fluid Antenna Systems: Opportunities, Challenges, and Future Directions,” IEEE Wireless Communications, Vol. 31, no. 5, pp. 34-41, Oct 2024. [paper]
[97] Qingyong Hu, Qian Zhang, Hao Lu, Shun Wu, Yuxuan Zhou, Qianyi Huang, Huangxun Chen, Ying-Cong Chen, Ni Zhao, “Contactless Arterial Blood Pressure Waveform Monitoring with mmWave Radar,” Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, Vol. 8, no. 4, Article No.: 178, pp. 1 – 29, Nov 2024. [paper]
[98] Baichen Yang, Xinyi Zhang, Jiaxi Zhang, Zirui Huang, Qiqi Lu, Jin Zhang, Hai Hu, and Qian Zhang, “KneeGuard: A Calibration-free Wearable Monitoring System for Knee Osteoarthritis Gait Re-training via Effortless Wearing,” Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, Vol. 8, no. 4, Article No.: 151, pp. 1-29, Nov 2024. [paper]
[99] Jiawei Shao, Zijian Li, Wenqiang Sun, Tailin Zhou, Yuchang Sun, Lumin Liu, Zehong Lin, Yuyi Mao, and Jun Zhang, “A Survey of What to Share in Federated Learning: Perspectives on Model Utility, Privacy Leakage, and Communication Efficiency,” Feb 2024. [paper]
[100] Jiawei Shao, Jingwen Tong, Qiong Wu, Wei Guo, Zijian Li, Zehong Lin, and Jun Zhang, “WirelessLLM: Empowering Large Language Models Towards Wireless Intelligence,” Journal of Communications and Information Networks, Vol. 9, no. 2, pp. 99-112, Jun 2024. [paper]
[101] Chengyu Xia, Danny H. K. Tsang, and Vincent K. N. Lau, “Bayesian Federated Model Compression for Communication and Computation Efficiency,” Apr 2024. [paper]
Journal Papers (2023)
[1] Xu Chen, Erik G. Larsson, and Kaibin Huang, “On-the-Fly Communication-and-Computing for Distributed Tensor Decomposition Over MIMO Channels,” IEEE Transactions on Signal Processing, Vol. 71, pp. 4192-4206, 2023. [paper]
[2] Jixuan Cui, Jun Li, Zhen Mei, Kang Wei, Sha Wei, Ming Ding, Wen Chen, and Song Guo, “Federated Meta-Learning for Few-Shot Fault Diagnosis With Representation Encoding,” IEEE Transactions on Instrumentation and Measurement, Vol. 72, pp. 1-12, 30 Oct. 2023. [paper]
[3] Deniz Gu ̈ndu ̈z, Federico Chiariotti, Kaibin Huang, Anders E. Kalør, Szymon Kobus, Petar Popovski “Timely and Massive Communication in 6G: Pragmatics, Learning, and Inference,” IEEE BITS the Information Theory Magazine, Vol. 3, no. 1, pp. 27-40, Mar. 2023. [paper]
[4] Zhaolong Ning, Hao Hu, Xiaojie Wang, Lei Guo, Song Guo, Guoyin Wang, and Xinbo Gao, ACM Computing Surveys, “Mobile Edge Computing and Machine Learning in the Internet of Unmanned Aerial Vehicles: A Survey,” Vol. 56, Issue 1, Article No. 13, pp. 1-31, Aug 2023. [paper]
Conference Papers (2025)
[1] Zixin Wang, Yong Zhou, Yuanming Shi, and Khaled. B. Letaief, “Federated Low-Rank Adaptation for Large Language Model Fine-Tuning Over Wireless Networks,” in Proc. GLOBECOM 2024 – 2024 IEEE Global Communications Conference, Cape Town, South Africa, Mar 2025. [paper]
[2] Xiang Peng, Zhijin Qin, Xiaoming Tao, Jianhua Lu, Khaled B. Letaief, “A Robust Semantic Communication System for Image Transmission,” in Proc. GLOBECOM 2024 – 2024 IEEE Global Communications Conference, Cape Town, South Africa, Mar 2025. [paper]
[3] Yetong Cao, Dong Ma, Wentao Xie, Qian Zhang, and Jun Luo, “ESPIRO: Natural Pulmonary Function Monitoring via Earphone-Acquired Speech,” in Proc. The 31st Annual International Conference On Mobile Computing And Networking (ACM MobiCom’25), Hong Kong, Nov 2025 [paper]
[4] Kai Zhang, Hengtao He, Shenghui Song, Jun Zhang, and Khaled B. Letaief, “Distributed on-Device LLM Inference with Over-the-Air Computation,” in Proc. ICC 2025 – IEEE International Conference on Communications, Montreal, Canada, Jun 2025. [paper]
[5] Hongru Li, Hang Zhao, Hengtao He, Shenghui Song, Jun Zhang, and Khaled B. Letaief, “Remote Training in Task-Oriented Communication: Supervised or Self-Supervised with Fine-Tuning?,” in Proc. ICC 2025 – IEEE International Conference on Communications, Montreal, QC, Canada, Jun 2025. [paper]
[6] Tianqu Kang, Zixin Wang, Hengtao He, Jun Zhang, Shenghui Song, and Khaled B. Letaief, “Federated Low-Rank Adaptation with Differential Privacy for Wireless Networks,” in Proc. 2025 IEEE International Mediterranean Conference on Communications and Networking (MeditCom), Nice, France, Jul 2025. [paper]
[7] Yuhan Wang, Suzhi Bi, Ying-Jun Angela Zhang, and Xiaojun Yuan, “Traversing Distortion-Perception Tradeoff using a Single Score-Based Generative Model,” in Proc. 2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Nashville, TN, USA, Jun 2025. [paper]
[8] Ran Li, Ziyi Xu, and Ying-Jun Angela Zhang, “Near-Field Beam Training Through Beam Diverging,” in Proc. ICC 2025 – IEEE International Conference on Communications, Montreal, QC, Canada, Jun 2025. [paper]
[9] Zhanye Chen, Suzhi Bi, Xiaohui Lin, Zhi Quan, and Ying-Jun Angela Zhang, “Online Trajectory and Resource Optimization for UAV-Enabled Wideband ISAC Service,” in Proc. ICC 2025 – IEEE International Conference on Communications, Montreal, QC, Canada, Jun 2025. [paper]
[10] Chang Cai, Xiaojun Yuan, and Ying-Jun Angela Zhang, “Score-Based Turbo Message Passing for Plug-and-Play Compressive Image Recovery,” in Proc. 2025 IEEE 26th International Workshop on Signal Processing and Artificial Intelligence for Wireless Communications (SPAWC), Surrey, United Kingdom, Jul 2025. [paper]
[11] Yuxiao Ma, Wei Lou, and Song Guo, “On Securing Data Privacy in Federated Learning Using Noise-assisted Aggregated Multi-key Homomorphic Encryption,” in Proc. 2025 IEEE 45th International Conference on Distributed Computing Systems (ICDCS), in Proc. 2025 IEEE 45th International Conference on Distributed Computing Systems (ICDCS), Glasgow, United Kingdom, Jul 2025. [paper]
[12] Qianli Liu, Zicong Hong, Peng Li, Fahao Chen, and Song Guo, “Mell: Memory-Efficient Large Language Model Serving via Multi-GPU KV Cache Management,” in Proc. IEEE INFOCOM 2025 – IEEE Conference on Computer Communications, London, United Kingdom, May 2025. [paper]
[13] Wenhui Ou, Zhuoyu Wu, Yike Li, Alexandra Geciova, Zheng Wang, and C. Patrick Yue, “PDR-KAN: Pipeline-Driven Reconfigurable Accelerator for Kolmogorov–Arnold Networks with Cross-Mode Sparsity Support,” in Proc. 2025 IEEE International Symposium on Circuits and Systems (ISCAS), London, United Kingdom, May 2025. [paper]
[14] Yushi Huang, Zining Wang, Ruihao Gong, Jing Liu, Xinjie Zhang, Jinyang Guo, Xianglong Liu, and Jun Zhang, “HarmoniCa: Harmonizing Training and Inference for Better Feature Caching in Diffusion Transformer Acceleration,” in Proceedings of the 42nd International Conference on Machine Learning, Vancouver, Canada, Jul 2025. [paper]
[15] Zifan Liu, Xinran Li, and Jun Zhang, “C2IQL: Constraint-Conditioned Implicit Q-learning for Safe Offline Reinforcement Learning,” in Proc. Proceedings of the 42nd International Conference on Machine Learning, Vancouver, Canada, Jul 2025. [paper]
[16] Sun, Yuchang, Li, Xinran, Lin, Tao, and Zhang, Jun, “Learn How to Query from Unlabeled Data Streams in Federated Learning,” in Proc. 39th Annual AAAI Conference on Artificial Intelligence (AAAI-25), Philadelphia, Pennsylvania, USA, Feb-Mar 2025. [paper]
[17] Fuzhan Chen, C. Patrick Yue, and Quan Pan, “A 100Gbaud 4Vppd Distributed Linear Driver with Cross-Folded Transmission Lines and Cross-Coupled Gm Cells for Built-in 5-Tap FFE in 0.13µm SiGe BiCMOS,” in Proc. 2025 IEEE International Solid-State Circuits Conference (ISSCC), San Francisco, CA, USA, Feb 2025. [paper]
[18] Bin Xia, Yuechen Zhang, Jingyao Li, Chengyao Wang, Yitong Wang, Xinglong Wu, Bei Yu, and Jiaya Jia, “DreamOmni: Unified Image Generation and Editing,” in Proc. 2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Nashville, TN, USA, Jun 2025. [paper]
[19] Senqiao Yang, Yukang Chen, Zhuotao Tian, Chengyao Wang, Jingyao Li, Bei Yu, and Jiaya Jia, “VisionZip: Longer is Better but Not Necessary in Vision Language Models,” in Proc. 2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Nashville, TN, USA, Jun 2025. [paper]
[20] Xin Zhang, Dongfang Xu, Jingjing Wang, Shenghui Song, Chi-Ying Tsui, Derrick Wing Kwan Ng, and M´erouane Debbah, “FAS-RIS-Aided Multi-User Systems With Linear Precoding: Random Matrix Analysis and Two-Timescale Design,” in Proc. IEEE Global Communications Conference (GLOBECOM) 2025, Taipei, Taiwan, Dec 2025. [paper]
[21] Chong Zhang, Shenghui Song, Cy Tsui, and Jinhong Yuan, “LDPC Code Optimisation for OTFS Modulation with MP Detection,” in Proc. IEEE Global Communications Conference (GLOBECOM) 2025, Taipei, Taiwan, Dec 2025.
[22] Xuan Liu, Siqi Cai, Qihua Zhou, Song Guo4, Ruibin Li, and Kaiwei Lin, “Mjölnir: Breaking the Shield of Perturbation-Protected Gradients via Adaptive Diffusion,” in Proc. The Thirty-Ninth AAAI Conference on Artificial Intelligence (AAAI-25), Philadelphia, Pennsylvania, Mar 2025. [paper]
[23] Peiran Dong, Haowei Li, and Song Guo, “Durable Quantization Conditioned Misalignment Attack on Large Language Models,” in Proc. The International Conference on Learning Representations (ICLR) 2025, Singapore, Apr 2025. [paper]
[24] Haodong Wang, Qihua Zhou, Zicong Hong, and Song Guo, “D2MoE: Dual Routing and Dynamic Scheduling for Efficient On-Device MoE-based LLM Serving,” in Proc. MobiCom 2025, Hong Kong, Nov 2025. [paper]
[25] Fangqi Zhu, Hongtao Wu, Song Guo, Yuxiao Liu, Chilam Cheang, and Tao Kong, “IRASim: A Fine-Grained World Model for Robot Manipulation,” in Proc. International Conference on Computer Vision, ICCV 2025, Honolulu, Hawaii, Oct 2025. [paper]
[26] Zhisheng Zhong, Chengyao Wang, Yuqi Liu, Senqiao Yang, Longxiang Tang, Yuechen Zhang, Jingyao Li, Tianyuan Qu, Yanwei Li, Yukang Chen, Shaozuo Yu, Sitong Wu, Eric Lo, Shu Liu, and Jiaya Jia, “Lyra: An Efficient and Speech-Centric Framework for Omni-Cognition,” in Proc. International Conference on Computer Vision (ICCV 2025), Honolulu, Hawaii, Oct 2025. [paper]
[27] Sitong Wu, Haoru Tan, Yukang Chen, Shaofeng Zhang, Jingyao Li, Bei Yu, Xiaojuan Qi, and Jiaya Jia, “Mixture-of-Scores: Robust Image-Text Data Valuation via Three Lines of Code,” in Proc. the IEEE/CVF International Conference on Computer Vision (ICCV 2025), Honolulu, Hawaii, Oct 2025. [paper]
[28] Yuechen Zhang, Yaoyang Liu, Bin Xia, Bohao Peng, Zexin Yan, Eric Lo, and Jiaya Jia, “MagicMirror: ID-Preserved Video Generation in Video Diffusion Transformers,” in Proc. the IEEE/CVF International Conference on Computer Vision (ICCV 2025), Honolulu, Hawaii, Oct 2025. [paper]
[29] Yuechen Zhang, Jinbo Xing, Bin Xia, Shaoteng Liu, Bohao Peng, Xin Tao, Pengfei Wan, Eric Lo, and Jiaya Jia, “Training-Free Efficient Video Generation via Dynamic Token Carving,” in Proc. 39th Conference on Neural Information Processing Systems (NeurIPS2025), San Diego, USA, Dec 2025. [paper]
[30] Tianyuan Qu, Longxiang Tang, Bohao Peng, Senqiao Yang, BeiYu, and Jiaya Jia, “Does Your Vision-Language Model Get Lost in the Long Video Sampling Dilemma?,” in Proc. the IEEE/CVF International Conference on Computer Vision (ICCV 2025), Honolulu, Hawaii, Oct 2025. [paper]
[31] Bin Xia, Yuechen Zhang, Jingyao Li, Chengyao Wang, Yitong Wang, Xinglong Wu, Bei Yu, and Jiaya Jia, “DreamOmni: Unified Image Generation and Editing,” in Proc. The IEEE/CVF Conference on Computer Vision and Pattern Recognition 2025, Nashville TN, USA, Jun 2025. [paper]
[32] Xin Zhang, Dongfang Xu, Jingjing Wang, Shenghui Song, Chi-Ying Tsui, Derrick Wing Kwan Ng, and M ́erouane Debbah, “FAS-RIS-Aided Multi-User Systems With Linear Precoding: Random Matrix Analysis and Two-Timescale Design,” in Proc. IEEE Global Communications Conference (GLOBECOM) 2025, Taipei, Taiwan, Dec 2025. [paper]
[33] Huixin Dong, Yijie Wu, Feiyu Li, Wei Kuang, Yuan He, Qian Zhang, and Wei Wang, “PassiveBLE: Towards Fully Commodity-Compatible BLE Backscatter,” in Proc. ACM MobiCom ’25, Hong Kong, Nov 2025. [paper]
Conference Papers (2024)
[1] Yuchen Shi, Pingyi Fan, Zheqi Zhu, Chenghui Peng, Fei Wang, and Khaled B. Letaief, “Towards Efficient Federated Learning Framework via Selective Aggregation of Models,” in Proc. IEEE International Conference on Communications (ICC), Denver, CO, United States, Jun. 2024. [paper]
[2] Gangtao Xin, Pingyi Fan, Khaled B. Letaief, and Chenghui Peng, “Deep Conditional Generative Semantic Communication for Image Transmission,” in Proc. IEEE International Conference on Communications (ICC), Denver, CO, United States, Jun. 2024. [paper]
[3] Wentao Yu, Hengtao He, Xianghao Yuy, Shenghui Song, Jun Zhang, Ross D. Murch, and Khaled B. Letaiefm “Learning Bayes-Optimal Channel Estimation for Holographic MIMO in Unknown EM Environments,” in Proc. IEEE International Conference on Communications (ICC), Denver, CO, United States, Jun. 2024. [paper]
[4] Lintao Li, Wei Chen, and Khaled B. Letaief, “Fitting Empowered Cross-Layer Scheduling for Real-Time Wireless Communications,” in Proc. IEEE International Conference on Communications (ICC), Denver, CO, United States, Jun. 2024. [paper]
[5] Yifan Ma, Wentao Yu, Xianghao Yuy, Jun Zhang, Shenghui Song, and Khaled B. Letaief, “Lightweight And Flexible Deep Equilibrium Learning for CSI Feedback in FDD Massive MIMO,” in Proc. IEEE International Conference on Machine Learning for Communication and Networking (ICMLCN), Stockholm, Sweden, May 2024. [paper]
[6] Jun Qian, Chi Zhang, Khaled B. Letaief, and Ross Murch, “The Effect of Spatial Correlation And Mutual Coupling on Cell-Free Massive MIMO,” in Proc. IEEE Wireless Communications and Networking Conference (WCNC), Dubai, UAE, Apr. 2024. [paper]
[7] Ruoxiao Caoy, Wentao Yu, Hengtao He, Xianghao Yuz, Shenghui Song, Jun Zhang, Yi Gongy and Khaled B.Letaief, “Newtonized Near-Field Channel Estimation for Ultra-Massive MIMO Systems,” in Proc. IEEE Wireless Communications and Networking Conference (WCNC), Dubai, UAE, Apr. 2024. [paper]
[8] Chongyun Zhang, Li Wang, Zilu Liu, Fuzhan Chen, Quan Pan, Xianbo Li, and C. Patrick Yue, “A 48-Gb/s Half-Rate PAM4 Optical Receiver with 0.27-pJ/bit TIA Efficiency,1.28-pJ/bit RX Efficiency, and 0.06-mm2 area in 28-nm CMOS,” in Proc. IEEE Symposium on VLSI Technology & Circuits, Hawaii, United States, Jun. 2024. [paper]
[9] Li Wang, Zilu Liu, Ruitao Ma and C. Patrick Yue, “A 20-24-GHz DPSSPLL with Charge-Domain Bandwidth Optimization Scheme Achieving 61.3-fs RMS Jitter and -253-dB FoMJitter,” in Proc. IEEE Custom Integrated Circuits Conference, Denver, United States, Apr. 2024.
[10] Zilu Liu, Li Wang, Hamed Fallah1, Zhijian Chen, C. Patrick Yue, “A Compact 28-GHz Transmitter Front-End with Co-Optimized Wideband Chip-Antenna Interface Achieving 18.5-dBm P1dB and 1.0-W/mm2 Power Density for Phased Array Systems,” in Proc. International Microwave Symposium, Washington, United States, Jun. 2024. [paper]
[11] Chengyu Xia, Haoyu Ma, Huayan Guoy, Danny H. K. Tsangz, and Vincent K. N. Lau, “Multi-resolution Neural Network Compression Based on Variational Bayesian Inference,” in Proc. IEEE International Conference on Communications (ICC), Denver, CO, United States, Jun 2024. [paper]
[12] Jun Qian, Chi Zhang, Khaled B. Letaief, and Ross Murch, “Two-phase channel estimation for RIS-aided cell free massive MIMO with electromagnetic interference,” in Proc. IEEE Int. Mediterranean Conf. Commun. and Networking (MeditCom), Madrid, Spain, Jul. 2024. [paper]
[13] Songjie Xie, Hengtao He, Hongru Li, Shenghui Song, Jun Zhang, Ying-Jun Angela Zhang, and Khaled B. Letaief, “Deep learning-based adaptive source-channel coding using hypernetworks,” in Proc. IEEE Int. Mediterranean Conf. Commun. and Networking (MeditCom), Madrid, Spain, Jul. 2024. [paper]
[14] Wei Guo, Meng He, Chuan Huang, Hengtao He, Shenghui Song, Jun Zhang, and Khaled B. Letaief, “Model-driven deep learning for distributed detection in WSNs with binary quantization,” in Proc. IEEE Int. Mediterranean Conf. Commun. and Networking (MeditCom), Madrid, Spain, Jul. 2024. [paper]
[15] Tianqu Kang, Lumin Liu, Hengtao He, Jun Zhang, S. H. Song, and Khaled B. Letaief, “The Effect of Quantization in Federated Learning: A Rényi Differential Privacy Perspective,” in Proc. IEEE Int. Mediterranean Conf. Commun. and Networking (MeditCom), Madrid, Spain, Jul. 2024. [paper]
[16] Fushuo Huo, Wenchao Xu, Song Guo, Jingcai Guo, HaozhaoWang, Ziming Liu, and Xiaocheng Lu, “ProCC: Progressive Cross-Primitive Compatibility for Open-World Compositional Zero-Shot Learning,” in Proc. Annual AAAI Conference on Artificial Intelligence, Vancouver, Canada, Feb. 2024. [paper]
[17] Tianrui Qiao, Zixiang Han, Shanpu Shen, Chi-Yuk Chiu, Qingsha S. Cheng, and Ross Murch, “Performance Bounds on the Partial Gain to Q-factor Quotient for Loaded N-port Antenna Systems,” in Proc. IEEE International Symposium on Antennas and Propagation and ITNC-USNC-URSI Radio Science Meeting, Florence, Italy, Jul. 2024. [paper]
[18] Yuechen Zhang, Shengju Qian, Bohao Peng, Shu Liu, and Jiaya Jia, “Prompt Highlighter: Interactive Control for Multi-Modal LLMs,” in Proc. IEEE / CVF Computer Vision and Pattern Recognition Conference, Seattle WA, United States, Jun. 2024. [paper]
[19] Xin Lai, Zhuotao Tian, Yukang Chen, Yanwei Li, Yuhui Yuan, Shu Liu, and Jiaya Jia, “LISA: Reasoning Segmentation via Large Language Model,” in Proc. IEEE / CVF Computer Vision and Pattern Recognition Conference, Seattle WA, United States, Jun. 2024. [paper]
[20] Shaoteng Liu, Yuechen Zhang, Wenbo Li, Zhe Lin, and Jiaya Jia, “Video-P2P: Video Editing with Cross-attention Control,” in Proc. IEEE / CVF Computer Vision and Pattern Recognition Conference, Seattle WA, United States, Jun. 2024. [paper]
[21] Sitong Wu, Haoru Tan, Zhuotao Tian, Yukang Chen, Xiaojuan Qi, and Jiaya Jia, “SaCo Loss: Sample-wise Affinity Consistency for Vision-Language Pre-training,” in Proc. IEEE / CVF Computer Vision and Pattern Recognition Conference, Seattle WA, United States, Jun. 2024. [paper]
[22] Zhengyang Hu, Song Kang, Qunsong Zeng, Kaibin Huang, and Yanchao Yang, “InfoNet: Neural Estimation of Mutual Information without Test-Time Optimization,” in Proc. International Conference on Machine Learning (ICML), Vienna, Austria, Jul. 2024. [paper]
[23] Jianhao Huang, Kai Yuan, Chuan Huang, and Kaibin Huang, “D\(^2\)-JSCC: Digital Deep Joint Source-channel Coding for Semantic Communications,” in Proc. IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC), Sept. 2024. [paper]
[24] Guanqiao Qu, Zheng Lin, Fangming Liu, Xianhao Chen, and Kaibin Huang, “TrimCaching: Parameter-sharing AI Model Caching in Wireless Edge Networks,” in Proc. IEEE International Conference on Distributed Computing Systems, New Jersey, USA, Jul. 2024. [paper]
[25] Fuzhan Chen, C. Patrick Yue, and Quan Pan, “A 56-Gbaud 7.3-Vppd Linear Modulator Transmitter with AMUX-Based Reconfigurable FFE and Dynamic Triple-Stacked Driver in 130-nm SiGe BiCMOS,” in Proc. IEEE Custom Integrated Circuits Conference (CICC), Denver, CO, USA, Apr. 2024. [paper]
[26] Zihao Hu, Jia Yan, Ying-Jun Angela Zhang, Jun Zhang, Khaled B. Letaief, “Communication-Learning Co- Design for Over-the-Air Federated Distillation,” in Proc. 2024 IEEE 99th Vehicular Technology Conference (VTC2024-Spring), Singapore, Jun 2024. [paper]
[27] Songjie Xie, Hengtao He, Hongru Li, Shenghui Song, Jun Zhang, Ying-Jun Angela Zhang, and Khaled B. Letaief, “Deep Learning-Based Adaptive Joint Source-Channel Coding using Hypernetworks,” in Proc. 2024 IEEE International Mediterranean Conference on Communications and Networking (MeditCom), Madrid, Spain, Jul 2024. [paper]
[28] Jun Qian, Chi Zhang, Khaled B. Letaief, and Ross Murch, “Two-Phase Channel Estimation for RIS-Aided Cell-Free Massive MIMO with Electromagnetic Interference,” in Proc. 2024 IEEE International Mediterranean Conference on Communications and Networking (MeditCom), Madrid, Spain, Jul 2024. [paper]
[29] Zhaoyang Ming, Shanpu Shen, and Ross Murch, “A 2-Bit Phase Reconfigurable Aperture Coupled Pixel Antenna,” in Proc. 2024 IEEE International Symposium on Antennas and Propagation and INC/USNC‐URSI Radio Science Meeting (AP-S/INC-USNC-URSI), Firenze, Italy, Jul 2024. [paper]
[30] Yinan Zhu, and Qian Zhang, “LoPrint: Mobile Authentication of RFID-Tagged Items Using COTS Orthogonal Antennas,” in Proc. IEEE INFOCOM 2024 – IEEE Conference on Computer Communications, Vancouver, BC, Canada, 20-23 May 2024. [paper]
[31] Hua Kang, Qingyong Hu, Huangxun Chen, Qianyi Huang, Qian Zhang, and Min Cheng, “Cross-shaped Separated Spatial-Temporal UNet Transformer For Accurate Channel Prediction,” in Proc. IEEE INFOCOM 2024 – IEEE Conference on Computer Communications, Vancouver, BC, Canada, 20-23 May 2024. [paper]
[32] Linfei Ge, Wentao Xie, Jin Zhang, and Qian Zhang, “BLEAR: Practical Wireless Earphone Tracking under BLE protocol,” in Proc. 2024 IEEE International Conference on Pervasive Computing and Communications (PerCom), Biarritz, France, 11-15 March 2024. [paper]
[33] Haiyan Hu, Yinan Zhu, Baichen Yang, Hua Kang, Shanwen Chen, and Qian Zhang, “MeatSpec: Enabling Ubiquitous Meat Fraud Inspection through Consumer-Level Spectral Imaging,” in Proc. the 30th Annual International Conference on Mobile Computing and Networking 2024, pp. 861-874, Washington D.C. DC USA, 18-22 Nov 2024. [paper]
[34] Li Wang, Zilu Liu, Hamed Fallah, Ruitao Ma, Zhijian Chen, and C. Patrick Yue, “A 28-GHz Phased-Array Transmitter Achieving 24% Peak Efficiency, 0.26-mm2 /Element Area Efficiency with Completely Orthogonal Phase and Gain Control,” in Proc. 2024 IEEE European Solid-State Electronics Research Conference (ESSERC), Bruges, Belgium, Sept 2024. [paper]
[35] Sikai Bai, Jie Zhang, Song Guo, Shuaicheng Li, Jingcai Guo, Jun Hou, Tao Han, and Xiaocheng Lu, “DiPrompT: Disentangled Prompt Tuning for Multiple Latent Domain Generalization in Federated Learning,” in Proc. 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Seattle, WA, USA, Jun 2024. [paper]
[36] Chaozheng Wen, Jingwen Tong, Yingdong Hu, Zehong Lin, and Jun Zhang, “WRF-GS: Wireless Radiation Field Reconstruction with 3D Gaussian Splatting,” in Proc. IEEE INFOCOM 2025 – IEEE Conference on Computer Communications, London, United Kingdom, May 2025. [paper]
[37] Yuhan Wang, Youlong Wu, Shuai Ma, and Ying-Jun Angela Zhang, “Lossy Compression with Data, Perception, and Classification Constraints,” in Proc. 2024 IEEE Information Theory Workshop (ITW), Shenzhen, China, Nov 2024. [paper]
[38] Jinyu Chen, Wenchao Xu, Zicong Hong, Song Guo, Haozhao Wang, Jie Zhang, and Deze Zeng, “OTAS: An Elastic Transformer Serving System via Token Adaptation,” in Proc. IEEE INFOCOM 2024 – IEEE Conference on Computer Communications, Vancouver, BC, Canada, May 2024. [paper]
[39] Chonghe Zhao, Yipeng Zhou, Shengli Zhang, Taotao Wang, Quan Z. Sheng, and Song Guo, “DEthna: Accurate Ethereum Network Topology Discovery with Marked Transactions,” in Proc. IEEE INFOCOM 2024 – IEEE Conference on Computer Communications, Vancouver, BC, Canada, May 2024. [paper]
[40] Xiaoxin Su, Yipeng Zhou, Laizhong Cui, and Song Guo, “Expediting In-Network Federated Learning by Voting-Based Consensus Model Compression,” in Proc. IEEE INFOCOM 2024 – IEEE Conference on Computer Communications, Vancouver, BC, Canada, May 2024. [paper]
[41] Chongyun Zhang, Li Wang, Zilu Liu, Fuzhan Chen, Quan Pan, Xianbo Li, and C. Patrick Yue, “A 48-Gb/s Half-Rate PAM4 Optical Receiver with 0.27-pJ/bit TIA Efficiency, 1.28-pJ/bit RX Efficiency, and 0.06-mm2 area in 28-nm CMOS,” in Proc. 2024 IEEE Symposium on VLSI Technology and Circuits (VLSI Technology and Circuits), Honolulu, HI, USA, Jun 2024. [paper]
[42] Mingkang Zhu, Xi Chen, Zhongdao Wang, Hengshuang Zhao, and Jiaya Jia, “LogoSticker: Inserting Logos into Diffusion Models for Customized Generation,” in Proc. Computer Vision – ECCV 2024: 18th European Conference, Milan, Italy, Sept – Oct, 2024. [paper]
[43] Sitong Wu, Haoru Tan, Zhuotao Tian, Yukang Chen, Xiaojuan Qi, and Jiaya Jia, “SaCo Loss: Sample-Wise Affinity Consistency for Vision-Language Pre-Training,” in Proc. 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Seattle, WA, USA, Sept 2024. [paper]
[44] Yuechen Zhang, Shengju Qian, Bohao Peng, Shu Liu, and Jiaya Jia, “Prompt Highlighter: Interactive Control for Multi-Modal LLMs,” in Proc. 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Seattle, WA, USAm Jun 2024. [paper]
[45] Xin Lai, Zhuotao Tian, Yukang Chen, Yanwei Li, Yuhui Yuan, Shu Liu, and Jiaya Jia, “LISA: Reasoning Segmentation via Large Language Model,” in Proc. 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Seattle, WA, USA, Jun 2024. [paper]
[46] Shaoteng Liu, Yuechen Zhang, Wenbo Li, Zhe Lin, and Jiaya Jia, “Video-P2P: Video Editing with Cross-Attention Control,” in Proc. 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Seattle, WA, USA, Jun 2024. [paper]
[47] Akash Dhasade, Yaohong Ding, Song Guo, Anne-Marie Kermarrec, Martijn de Vos, and Leijie Wu, “QuickDrop: Efficient Federated Unlearning via Synthetic Data Generation,” in Proc. MIDDLEWARE ’24: Proceedings of the 25th International Middleware Conference, Hong Kong, Dec 2024. [paper]
[48] Ruibin Li, Jingcai Guo, Qihua Zhou, and Song Guo, “FreePIH: Training-Free Painterly Image Harmonization with Diffusion Model,” in Proc. MM ’24: Proceedings of the 32nd ACM International Conference on Multimedia, Chengdu, China, Oct 2024. [paper]
[49] Yingchun Wang, Jingcai Guo, Song Guo, Yi Liu, Jie Zhang, and Weizhan Zhang, “SFP: Spurious Feature-Targeted Pruning for Out-of-Distribution Generalization,” in Proc. MM ’24: Proceedings of the 32nd ACM International Conference on Multimedia, Chengdu, China, Oct 2024. [paper]
[50] Jie Zhang, Xiaosong Ma, Song Guo, Peng Li, Wenchao Xu, Xueyang Tang, and Zicong Hong, “Amend to alignment: decoupled prompt tuning for mitigating spurious correlation in vision-language models,” in Proc. the 41st International Conference on Machine Learning (ICML’24), Vienna, Austria, Jul 2024. [paper]
[51] Xueyang Tang, Song Guo, Jingcai Guo, Jie Zhang, and Yue Yu, “Causally Motivated Personalized Federated Invariant Learning with Shortcut-Averse Information-Theoretic Regularization,” in Proc. the 41st International Conference on Machine Learning (ICML’24), Vienna, Austria, Jul 2024. [paper]
[52] Xueyang Tang, Song Guo, Jingcai Guo, Jie Zhang, and Yue Yu, “Causally Motivated Personalized Federated Invariant Learning with Shortcut-Averse Information-Theoretic Regularization,” in Proc. the 41st International Conference on Machine Learning (ICML’24), Vienna, Austria, Jul 2024. [paper]
[53] Jiewei Zhang, Song Guo, Peiran Dong, Jie Zhang, Ziming Liu, Yue Yu, and Xiao-Ming Wu, “Easing Concept Bleeding in Diffusion via Entity Localization and Anchoring,” in Proc. the 41st International Conference on Machine Learning (ICML’24), Vienna, Austria, Jul 2024. [paper]
[54] Zicong Hong, Jian Lin, Song Guo, Sifu Luo, Wuhui Chen, Roger Wattenhofer, and Yue Yu, “Optimus: Warming Serverless ML Inference via Inter-Function Model Transformation,” in Proc. the Nineteenth European Conference on Computer Systems (EuroSys ’24), Athens, Apr 2024. [paper]
[55] Sikai Bai, Shuaicheng Li, Weiming Zhuang, Jie Zhang, Kunlin Yang, Jun Hou, Shuai Zhang, Shuai Yi, and Junyu Gao, “Combating Data Imbalances in Federated Semi-supervised Learning with Dual Regulators,” in Proc. The Thirty-Eighth AAAI Conference on Artificial Intelligence (AAAI-24), Vancouver, Canada, Feb 2024. [paper]
[56] Qihua Zhou, Jingcai Guo, Song Guo, Ruibin Li, Jie Zhang, BingjieWang, Zhenda Xu, “On the Robustness of Neural-Enhanced Video Streaming against Adversarial Attacks,” in Proc. The Thirty-Eighth AAAI Conference on Artificial Intelligence (AAAI-24), Vancouver, Canada, Feb 2024. [paper]
[57] Pengguang Chen, Yukang Chen, Jianbo Dai, Zhijiang Guo, Jiaya Jia, Jingyao Li, Yinhong Liu, Jianqiao Lu, Zehan Qi, Linling Shen, Zhan Shi, Haochen Tan, Yingjia Wan, Bailin Wang, Rongwu Xu, Yuxuan Yao, Zhongshen Zeng, Hao Zhang, and Wanru Zhao, “MR-Ben: A Meta-Reasoning Benchmark for Evaluating System-2 Thinking in LLMs,” in Proc. Advances in Neural Information Processing Systems 37, Vancouver, Canada, Dec 2024. [paper]
[58] Pengguang Chen, Yukang Chen, Jianbo Dai, Zhijiang Guo, Jiaya Jia, Jingyao Li, Yinhong Liu, Jianqiao Lu, Zehan Qi, Linling Shen, Zhan Shi, Haochen Tan, Yingjia Wan, Bailin Wang, Rongwu Xu, Yuxuan Yao, Zhongshen Zeng, Hao Zhang, and Wanru Zhao, “MR-Ben: A Meta-Reasoning Benchmark for Evaluating System-2 Thinking in LLMs,” in Proc. Advances in Neural Information Processing Systems 37, Vancouver, Canada, Dec 2024. [paper]
[59] Vision-Language Model Get Lost in the Long Video Sampling Dilemma?,” in Proc. the IEEE/CVF International Conference on Computer Vision (ICCV 2025), Honolulu, Hawaii, Oct 2025. [paper]
[60] Shaoteng Liu, Haoqi Yuan, Minda Hu, Yanwei Li, Yukang Chen, Shu Liu, Zongqing Lu, and Jiaya Jia, “RL-GPT: integrating reinforcement learning and code-as-policy,” in Proc. NIPS ’24: Proceedings of the 38th International Conference on Neural Information Processing Systems, Vancouver BC Canada, Dec 2024. [paper]
[61] Bin Xia, Shiyin Wang, Yingfan Tao, Yitong Wang, and Jiaya Jia, “LLMGA: Multimodal Large Language Model based Generation Assistant,” in Proc. The 18th European Conference on Computer Vision ECCV 2024, Milano, Italy, Sept-Oct 2024. [paper]
[62] Yanwei Li, Chengyao Wang, and Jiaya Jia, “LLaMA-VID: An Image is Worth 2 Tokens in Large Language Models,” in Proc. The 18th European Conference on Computer Vision ECCV 2024, Milano, Italy, Sept-Oct 2024. [paper]
Conference Papers (2023)
[1] Lumin Liu, Jun Zhang, Shenghui Song, and Khaled B. Letaief, “Binary federated learning with client-level differential privacy,” in Proc. IEEE Global Communications Conference (GLOBECOM), Kuala Lumpur, Malaysia, Dec. 2023. [paper]
[2] Hongru Li, Wentao Yu, Hengtao He, Jiawei Shao, Shenghui Song, Jun Zhang, and Khaled B. Letaief, “Task-oriented communication with out-of-distribution detection: An information bottleneck framework,” in Proc. IEEE Global Communications Conference (GLOBECOM), Kuala Lumpur, Malaysia, Dec. 2023. [paper]
[3] Quan Chen, Song Guo, Wenchao Xu, Jing Li, Tuo Shi, Zhipeng Cai and Hong Gao, “Optimizing Average AoI with Directional Charging for Wireless-Powered Network Edge,” in Proc. IEEE/ACM International Symposium on Quality of Service (IWQoS), Orlando, FL, USA, Jun. 2023. [paper]
[4] Chenggao Li, Qianyi Huang, Yuxuan Zhou, Yandao Huang, Qingyong Hu, Huangxun Chen, and Qian Zhang, “RIScan: RIS-aided Multi-user Indoor Localization Using COTS Wi-Fi,” in Proc. ACM Conference on Embedded Networked Sensor Systems (SenSys), Istanbul, Turkey, Nov. 2023. [paper]
[5] Yuxuan Zhou, Chenggao Li, Huangxun Chen, and Qian Zhang, “RIStealth: Practical and Covert Physical-Layer Attack against WiFi-based Intrusion Detection via Reconfigurable Intelligent Surface,” in Proc. ACM Conference on Embedded Networked Sensor Systems (SenSys), Istanbul, Turkey, Nov. 2023. [paper]
[6] Baichen Yang, Qingyong Hu1, Wentao Xie, Xinchen Wang, Wei Luo, and Qian Zhang, “PDAssess: A Privacy-preserving Free-speech based Parkinson’s Disease Daily Assessment System,” in Proc. ACM Conference on Embedded Networked Sensor Systems (SenSys), Istanbul, Turkey, Nov. 2023. [paper]
[7] Xiaoyu Zhao, Ying-Jun Angela Zhang, Meng Wang, Xiang Chen, and Yue Li, “Online Multi-User Scheduling for Extended Reality Transmissions with Hard-Latency Constraint,” in Proc. IEEE Global Communications Conference (GLOBECOM), Kuala Lumpur, Malaysia, Dec. 2023. [paper]
[8] Hang Liu, Jia Yan and Ying-Jun Angela Zhang, “On the Privacy Leakage of Over-the-Air Federated Learning Over MIMO Fading Channels,” in Proc. IEEE Global Communications Conference (GLOBECOM), Kuala Lumpur, Malaysia, Dec. 2023. [paper]
[9] Yuanrui Liu, Xiaoyu Zhao, Wei Chen, and Ying-Jun Angela Zhang, “Dynamic Framing and Power Allocation for Real-Time Wireless Communications with Variable-Length Coding,” in Proc. IEEE Global Communications Conference (GLOBECOM), Kuala Lumpur, Malaysia, Dec. 2023. [paper]
[10] Zihao Hu, Jia Yan, and Ying-Jun Angela Zhang, “Towards Differentially Private Over-the-Air Federated Learning via Device Sampling,” in Proc. IEEE Global Communications Conference (GLOBECOM), Kuala Lumpur, Malaysia, Dec. 2023. [paper]
[11] Ziyi Xu, Shuoyao Wang, and Ying-Jun Angela Zhang, “SAMBA: Scenario-Adaptive Meta-learning for mmWave Beam Alignment,” in Proc. IEEE Global Communications Conference (GLOBECOM), Kuala Lumpur, Malaysia, Dec. 2023. [paper]
[12] Ruichen Xu, Ying-Jun Angela Zhang, and Jianwei Huang, “Tackling Privacy Heterogeneity in Federated Learning,” in Proc. IEEE International Symposium on Modeling and Optimization in Mobile, Ad hoc, and Wireless Networks (WiOpt), Singapore, Aug. 2023. [paper]
[13] Changkun Li, Wei Chen, and Khaled B. Letaief, “Energy-efficient real-time wireless communications: A matching diversity approach,” in Proc. IEEE Global Communications Conference (GLOBECOM), Kuala Lumpur, Malaysia, Dec. 2023. [paper]
[14] Meiying Zhang, Hengtao He, Shenghui Song, Jun Zhang, and Khaled B. Letaief, “Resource Allocation for OTFS-Based ISAC Systems,” in Proc. IEEE International Mediterranean Conference on Communications and Networking (MeditCom), Dubrovnik, Croatia, Sept. 2023. [paper]
[15] S. M. Abbas, M. Jalaleddine, C. Y. Tsui, and W. J. Gross, “Step-GRAND: A Low Latency Universal Soft Input Decoder,” in Proc. IEEE Global Communications Conference (GLOBECOM), Kuala Lumpur, Malaysia, Dec. 2023. [paper]
[16] Fuzhan Chen, Chongyun Zhang, Li Wang, Quan Pan, and C. Patrick Yue, “A 2.05-pJ/b 56-Gb/s PAM-4 VCSEL Transmitter with Piecewise Nonlinearity Compensation and Asymmetric Equalization in 40-nm CMOS,” in Proc. IEEE 49th European Solid State Circuits Conference (ESSCIRC), Lisbon, Portugal, Sept. 2023. [paper]
[17] Johar Abdekhoda, Li Wang, Reza Sarvari, and Chik Patrick Yue, “A Bang-Bang Phase Detector for PAM-N Signaling,” in Proc. IEEE International Conference on ASIC (ASICON), Nanjing, China, Oct. 2023. [paper]
[18] Zilu Liu, Li Wang, Hamed Fallah, and C. Patrick Yue, “Design of Chip-to-PCB Matching Network for Millimeter-Wave On-Chip Transmitter and On-PCB Antenna,” in Proc. IEEE International Conference on ASIC (ASICON), Nanjing, China, Oct. 2023. [paper]
[19] Yuechen Zhang, Jinbo Xing, Eric Lo, and Jiaya Jia, “Real-World Image Variation by Aligning Diffusion Inversion Chain,” in Proc. Conference on Neural Information Processing Systems (NeurIPS), New Orleans, United States, Dec. 2023. [paper]
[20] Xin Lai, Yuhui Yuan, Ruihang Chu, Yukang Chen, Han Hu, and Jiaya Jia, “Mask-Attention-Free Transformer for 3D Instance Segmentation,” in Proc. International Conference on Computer Vision (ICCV), Paris, France, Oct. 2023. [paper]
[21] Fanbin Lu, Xufeng Yao, Chi-Wing Fu, and Jiaya Jia, “Removing Anomalies as Noises for Industrial Defect Localization,” in Proc. International Conference on Computer Vision (ICCV), Paris, France, Oct. 2023. [paper]
[22] Jie Zhang, Xiaosong Ma, Song Guo, and Wenchao Xu, “Towards Unbiased Training in Federated Open-world Semi-supervised Learning,” in Proc. International Conference on Machine Learning (ICML), Hawaii, United States, Jul. 2023. [paper]
[23] Xiaosong Ma, Jie Zhang, Song Guo, and Wenchao Xu, “SwapPrompt: Test-Time Prompt Adaptation for Vision-Language Models,” in Proc. Conference on Neural Information Processing Systems (NeurIPS), New Orleans, United States, Dec. 2023. [paper]
[24] Yuchang Sun, Zehong Lin, Yuyi Mao, Shi Jin, and Jun Zhang, “Probabilistic Device Scheduling for Over-the-Air Federated Learning,” in Proc. IEEE International Conference on Communication Technology (ICCT), Wuxi, China, Oct. 2023. [paper]
[25] Yanwei Li, Zhiding Yu, Jonah Philion, Anima Anandkumar, Sanja Fidler, Jiaya Jia, and Jose Alvarez, “End-to-end 3D Tracking with Decoupled Queries,” in Proc. International Conference on Computer Vision, Paris, France, Oct. 2023. [paper]
[26] Ruihang Chu, Enze Xie, Shentong Mo, Zhenguo Li, Matthias Nießner, Chi-Wing Fu, and Jiaya Jia, “DiffComplete: Diffusion-based Generative 3D Shape Completion,” in Proc. The Annual Conference on Neural Information Processing Systems, New Orleans, United States, Dec. 2023. [paper]
[27] Tailin Zhou, Jun Zhang, and Danny H.K. Tsang, “Mode Connectivity in Federated Learning with Data Heterogeneity,” in Proc. IEEE Asilomar Conference on Signals, Systems, and Computers, Pacific Grove, CA, United States, Nov. 2023. [paper]
[28] Hai Wu, Qunsong Zeng, and Kaibin Huang, “Communication-Efficient Multiuser AI Downloading via Reusable Knowledge Broadcasting,” in Proc. IEEE International Workshop on Signal Processing Advances in Wireless Communications (SPAWC), Shanghai, China, Sept. 2023. [paper]
[29] Zhiyan Liu, Qiao Lan, Anders E. Kalør, Petar Popovski, and Kaibin Huang, “Over-the-Air View-Pooling for Low-Latency Distributed Sensing,” in Proc. IEEE International Workshop on Signal Processing Advances in Wireless Communications (SPAWC), Shanghai, China, Sept. 2023. [paper]
[30] Zhiyan Liu, Qiao Lan, and Kaibin Huang, “Resource Allocation for Batched Multiuser Edge Inference with Early Exiting,” in Proc. IEEE International Workshop on Signal Processing Advances in Wireless Communications (SPAWC), Shanghai, China, Sept. 2023. [paper]
[31] Linping Qu, Shenghui Song, Chi-Ying Tsui, and Yuyi Mao, “How Robust is Federated Learning to Communication Error? A Comparison Study Between Uplink and Downlink Channels,” in Proc. IEEE International Conference on Communications (ICC), Rome, Italy, May 2023. [paper]
[32] Li Wang, Zilu Liu, and C. Patrick Yue, “A 24-30 GHz Cascaded QPLL Achieving 56.8-fs RMS Jitter and −248.6-dB FoMjitter,” in Proc. 2023 IEEE Symposium on VLSI Technology and Circuits (VLSI Technology and Circuits), Kyoto, Japan, Jun 2023. [paper]
[33] Peiran Dong, Song Guo, and Junxiao Wang, “Investigating Trojan Attacks on Pre-trained Language Model-powered Database Middleware,” in Proc. KDD ’23: Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Long Beach, California, USA, Aug 2023. [paper]
Patents (All)
[1] Patrick Yue, Li Wang, “A 28-GHz Phased-Array Transmitter Based on IFLO Phase-Shifting Architecture Supporting Complete Orthogonality between Phase Shift and Gain Control,” U.S. Provisional Patent No. 63,518,882, 2023
Books (All)
[1] Xingqin Lin, Jun Zhang, Yuanwei Liu, Joongheon Kim, “Fundamentals of 6G Communications and Networking” [link]