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, Early Access, Jun. 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,” Aug 2024. [paper] 

[40] Yuchang Sun, Marios Kountouris, and Jun Zhang, “How to Collaborate: Towards Maximizing the Generalization Performance in Cross-Silo Federated Learning,” Jan 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, Early Access, Sept 2024. [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,” Sept 2024. [paper] 

[47] Jianhao Huang, Kai Yuan, Chuan Huang, and Kaibin Huang, “D^2-JSCC: Digital Deep Joint Source-channel Coding for Semantic Communications,” Mar 2024. [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,” Sept 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,” Apr 2024. [paper] 

[51] 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, Early Access, Jul 2024. [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, Early Access, Aug 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]

Conference Papers (AT Track 1)

[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 Cao y, 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] Chengyu Xia , Haoyu Ma , Huayan Guo y, Danny H. K. Tsang z, 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]

[9] 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]

[10] 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]

[11] 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]

[12] 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]

[13] 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]

[14] 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]

[15] 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]

[16] 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]

[17] 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]

[18] 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]

[19] 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]

[20] 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]

[21] 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]

[22] 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]

[23] 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]

[24] 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]

[25] 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]

[26] 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]

[27] 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]

[28] 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]

[29] 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]

[30] 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]

[31] 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]

[32] 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]

[33] 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]

[34] 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]