Journal Papers (All Years)

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, Early Access, 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, Early Access, Jun. 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, 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, Early Access, May 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, Early Access, Jun. 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, Early Access, 03 Jun. 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, Early Access, Jun. 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, Early Access, 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, Early Access, May, 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, Early Access, Mar. 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, Early Access, Jan, 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, Early Access, Feb. 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, Early Access, Mar. 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, Early Access, May 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, Early Access, 18 Apr. 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, Early Access, 13 Jun. 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, Early Access, 16 Jan. 20214. [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]

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]

Conference Papers (All Years)

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.

[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.

[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.

[4] “Fitting Empowered Cross-Layer Scheduling for Real-Time Wireless Communications,” in Proc. IEEE International Conference on Communications (ICC), Denver, CO, United States, Jun. 2024.

[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.

[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.

[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.

[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.

[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.

[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.

[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.

[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.

[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.

[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.

[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.

[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.

[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.

[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.

[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.

[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.

[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.

[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.

[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.

[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. 

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.

[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.

[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.

[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.

[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.

[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.

[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.

[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.

[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.

[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.

[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.

[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.

[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.

[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.

[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.

[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.

[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.

[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.

[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.

[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.

[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.

[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.

[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.

[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.

[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.

[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.

[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.

[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. 

[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. 

[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. 

[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.

Patents (All Years)

[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 Years)

[1] Xingqin Lin, Jun Zhang, Yuanwei Liu, Joongheon Kim, “Fundamentals of 6G Communications and Networking” [link]