Journal Papers (AT Track 1)

[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] 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]

[4] 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]

[5] 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]

[6] 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] 

[7] 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]

[8] 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] 

[9] 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]

[10] 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]

[11] 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]

[12] 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]

[13] 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]

[14] 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]

[15] 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]

[16] 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]

[17] 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]

[18] 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]

[19] 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]

[20] 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]

[21] 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]

[22] 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]

[23] 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]

[24] 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]

[25] 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]

[26] 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]

[27] 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]

[28] 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]

[29] “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]

[30] 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]

[31] 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]

[32] 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]

[33] 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]

[34] 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]

[35] 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]

[36] 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]

[37] 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]

[38] 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]

[39] 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]

[40] 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, Early Access, Dec 2024. [paper]

[41] 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]

[42] 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]

[43] 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]

[44] Zhanwei Wang, Anders E. Kalør, You Zhou, Petar Popovski, and Kaibin Huang, “Ultra-Low-Latency Edge Inference for Distributed Sensing,” Jul 2024. [paper]

[45] 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]

[46] 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] 

[47] 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] 

[48] 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, Early Access, Dec 2024. [paper]

[49] Jiawei Liu, Yi Gong, and Kaibin Huang, “Digital Over-the-Air Computation: Achieving High Reliability via Bit-Slicing,” Apr 2024. [paper]

[50] 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, Early Access, Jan 2025. [paper] 

[52] 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]

[53] 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]

[54] 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]

[55] 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]

[56] 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]

[57] 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]

[58] 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]

[59] 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]

[60] 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]

[61] 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]

[62] 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]

[63] 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] 

[64] 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] 

[65] 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] 

[66] 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] 

[67] 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] 

[68] 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] 

[69] 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] 

[70] 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] 

[71] 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] 

[72] 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] 

[73] 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] 

[74] 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] 

[75] 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] 

[76] 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] 

[77] 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] 

[78] 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] 

[79] 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]

[80] 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]

[81] 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]

[82] 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]

[83] 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]

[84] 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]

[85] 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]

[86] 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]

[87] 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]

[88] 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] 

[89] 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] 

[90] 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] 

[91] 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] 

[92] 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]