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Jun Zhang 0004
張軍
Person information
- unicode name: 張軍
- affiliation: Hong Kong Polytechnic University, Department of Electronic and Information Engineering, Hong Kong
- affiliation: Hong Kong University of Science and Technology, Department of Electronic and Computer Engineering, Hong Kong
- affiliation (PhD 2009): University of Texas at Austin, TX, USA
Other persons with the same name
- Jun Zhang — disambiguation page
- Jun Zhang 0001 — University of Kentucky, Lexington, KY, USA
- Jun Zhang 0002 — Iowa State University, Ames, IO, USA
- Jun Zhang 0003 — Hanyang University, Division of Electrical Engineering, Ansan, Korea (and 4 more)
- Jun Zhang 0005 — Nanyang Technological University, School of Computer Engineering, Singapore
- Jun Zhang 0006 — University of Wisconsin-Milwaukee, Department of Electrical Engineering and Computer Science, WI, USA (and 1 more)
- Jun Zhang 0007 — Beijing Institute of Technology, National Engineering Laboratory for Big Data Application Technologies for Comprehensive Traffic, China (and 1 more)
- Jun Zhang 0008 — Pitney Bowes, Shelton, CT, USA (and 1 more)
- Jun Zhang 0009 — University of Michigan, Department of Psychology, Ann Arbor, MI, USA
- Jun Zhang 0010 — Swinburne University of Technology, School of Software and Electrical Engineering, Hawthorn, Australia (and 2 more)
- Jun Zhang 0011 — Anhui University, Institute of Health Sciences, School of Electronic Engineering and Automation, Hefei, China (and 2 more)
- Jun Zhang 0012 — Northwestern University, College of Information Science and Engineering, Evanston, IL, USA
- Jun Zhang 0013 — Hunan University, Changsha, Hunan, China
- Jun Zhang 0014 — Huazhong University of Science and Technology, Wuhan, China
- Jun Zhang 0015 — Northwestern Polytechnical University, Xian, China
- Jun Zhang 0016 — University of Edinburgh, School of Engineering, UK (and 1 more)
- Jun Zhang 0017 — Hefei University of Technology, School of Computer Science and Information Engineering, China
- Jun Zhang 0018 — Tencent AI Lab, Shenzhen, China (and 3 more)
- Jun Zhang 0019 — TELECOM Paris, France (and 3 more)
- Jun Zhang 0020 — University of Electronic Science and Technology of China, School of Computer Science and Engineering, Chengdu, China
- Jun Zhang 0021 — University of Science and Technology of China, School of Management, Hefei, China (and 2 more)
- Jun Zhang 0022 — University of Wollongong, Faculty of Engineering and Information Sciences, NSW, Australia
- Jun Zhang 0023 — Nanjing University of Posts and Telecommunications, Jiangsu Key Laboratory of Wireless Communications, China (and 2 more)
- Jun Zhang 0024 — Nanjing University of Science and Technology, School of Science, China
- Jun Zhang 0025 — University of Nevada, Reno, NV, USA (and 1 more)
- Jun Zhang 0026 — Guangdong University of Technology, School of Information Engineering, Guangzhou, China (and 2 more)
- Jun Zhang 0027 — Shenzhen University, Shenzhen-Hong Kong Joint Research Center for Applied Statistical Sciences, College of Mathematics and Statistics, China
- Jun Zhang 0028 — Guangdong University of Technology, School of Information Engineering, Guangzhou, China
- Jun Zhang 0029 — Xiangtan University, Information Engineering College, Hunan, China
- Jun Zhang 0030 — Southeast University, School of Instrument Science and Engineering, Nanjing, China
- Jun Zhang 0031 — Capital Normal University, School of Mathematical Sciences, Beijing, China (and 2 more)
- Jun Zhang 0032 — University of Science and Technology of China, Hefei, China (and 1 more)
- Jun Zhang 0033 — Chinese Academy of Sciences, Institute of Computing Technology, State Key Laboratory of Computer Architecture, Beijing, China
- Jun Zhang 0034 — Chinese Academy of Sciences, Hefei Institutes of Physical Science, High Magnetic Field Laboratory, China (and 1 more)
- Jun Zhang 0035 — Nanjing Audit University, Institute for Social and Economic Research, China (and 1 more)
- Jun Zhang 0036 — Queen Mary University of London, UK
- Jun Zhang 0037 — Capital University of Economics and Business, School of Information, Beijing, China
- Jun Zhang 0038 — Shanghai University, School of Computer Engineering and Science, China (and 1 more)
- Jun Jason Zhang (aka: Jun Zhang 0040) — Wuhan University, School of Electrical Engineering and Automation, Wuhan, China (and 3 more)
- Jun Zhang 0041 — Heilongjiang Province Land Reclamation Headquarters General Hospital, Department of Rehabilitation, Harbin, China
- Jun Zhang 0042 — Nanyang Technological University, School of Electrical and Electronic Engineering, Singapore
- Jun Zhang 0043 — Dalian University of Technology, Mechanical Engineering School, China
- Jun Zhang 0044 — National University of Defense Technology, Science and Technology on Automatic Target Recognition Laboratory, Changsha, China
- Jun Zhang 0045 — Xidian University, School of Artificial Intelligence, MOE Key Laboratory of Intelligent Perception and Image Understanding, Xi'an, China
- Jun Zhang 0046 — Fuzhou University, School of Mechanical Engineering and Automation, China (and 1 more)
- Jun Zhang 0047 — Guizhou University of Finance and Economics, Computational Mathematics Research Center, Guiyang, China
- Jun Zhang 0048 — Dalian University of Technology, School of Software, Key Laboratory for Ubiquitous Network and Service Software of Liaoning Province, China
- Jun Zhang 0049 — Shenzhen University, Educational Technology Department, China (and 1 more)
- Jun Zhang 0050 — Hebei University of Technology, School of Artificial Intelligence, Hebei Province Key Laboratory of Big Data Calculation, Tianjin, China
- Jun Zhang 0051 — Zhejiang University, College of Electrical Engineering, Hangzhou, China
- Jun Zhang 0052 — Tsinghua University, Department of Computer Science and Technology, China (and 1 more)
- Jun Zhang 0053 — Northwest A&F University, College of Mechanical and Electronic Engineering, Yangling, China (and 1 more)
- Jun Zhang 0054 — Hainan University, School of Economics and Management, Haikou, China
- Jun Zhang 0055 — Nanyang Technological University, School of Electrical and Electronic Engineering, Singapore
- Jun Zhang 0056 — Heilongjiang Province Land Reclamation Headquarters General Hospital, Harbin, China
- Jun Zhang 0057 — Nanjing University of Posts and Telecommunications, College of Electronic and Optical Engineering / College of Microelectronics, China
- Jun Zhang 0058 — East China University of Technology, School of Software, Nanchang, China (and 1 more)
- Jun Zhang 0059 — Southwest Jiaotong University, School of Transportation and Logistics, Chengdu, China
- Jun Zhang 0060 — China University of Mining and Technology, School of Information and Control Engineering, Xuzhou, China
- Jun Zhang 0061 — Tongji University, College of Transportation Engineering, Shanghai, China
- Jun Zhang 0062 — Huazhong University of Science and Technology, School of Artificial Intelligence and Automation, Wuhan, China
- Jun Zhang 0063 — Google Inc., China (and 1 more)
- Jun Zhang 0064 — Old Dominion University, Department of Engineering Management and Systems Engineering, Norfolk, Virginia, USA
- Jun Zhang 0065 — Yunnan Normal University, School of Physics and Electronic Information, Yunnan Key Laboratory of Opto-Electronic Information Technology, Kunming, China
- Jun Zhang 0066 — AI Lab, ByteDance Inc., Speech & Audio Team, Beijing, China (and 1 more)
- Jun Zhang 0067 — National University of Defense Technology, Laboratory for big data and decision, Department of Information System and Management, Changsha, China
- Jun Zhang 0068 — University of Science and Technology of China, State Key Laboratory of Fire Science, Hefei, China (and 1 more)
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2020 – today
- 2024
- [j106]Yifei Shen, Jiawei Shao, Xinjie Zhang, Zehong Lin, Hao Pan, Dongsheng Li, Jun Zhang, Khaled B. Letaief:
Large Language Models Empowered Autonomous Edge AI for Connected Intelligence. IEEE Commun. Mag. 62(10): 140-146 (2024) - [j105]Yuyi Mao, Xianghao Yu, Kaibin Huang, Ying-Jun Angela Zhang, Jun Zhang:
Green Edge AI: A Contemporary Survey. Proc. IEEE 112(7): 880-911 (2024) - [j104]Xinyu Bian, Yuyi Mao, Jun Zhang:
Grant-Free Massive Random Access With Retransmission: Receiver Optimization and Performance Analysis. IEEE Trans. Commun. 72(2): 786-800 (2024) - [j103]Chenghao Rong, Jessie Hui Wang, Jilong Wang, Yipeng Zhou, Jun Zhang:
Live Migration of Video Analytics Applications in Edge Computing. IEEE Trans. Mob. Comput. 23(3): 2078-2092 (2024) - [j102]Tailin Zhou, Jun Zhang, Danny H. K. Tsang:
FedFA: Federated Learning With Feature Anchors to Align Features and Classifiers for Heterogeneous Data. IEEE Trans. Mob. Comput. 23(6): 6731-6742 (2024) - [j101]Yao Zhang, Zhiwen Yu, Jun Zhang, Liang Wang, Tom H. Luan, Bin Guo, Chau Yuen:
Learning Decentralized Traffic Signal Controllers With Multi-Agent Graph Reinforcement Learning. IEEE Trans. Mob. Comput. 23(6): 7180-7195 (2024) - [j100]Yuchang Sun, Yuyi Mao, Jun Zhang:
MimiC: Combating Client Dropouts in Federated Learning by Mimicking Central Updates. IEEE Trans. Mob. Comput. 23(7): 7572-7584 (2024) - [j99]Zijian Li, Yuchang Sun, Jiawei Shao, Yuyi Mao, Jessie Hui Wang, Jun Zhang:
Feature Matching Data Synthesis for Non-IID Federated Learning. IEEE Trans. Mob. Comput. 23(10): 9352-9367 (2024) - [j98]Zijian Li, Zehong Lin, Jiawei Shao, Yuyi Mao, Jun Zhang:
FedCiR: Client-Invariant Representation Learning for Federated Non-IID Features. IEEE Trans. Mob. Comput. 23(11): 10509-10522 (2024) - [j97]Jiawei Shao, Xinjie Zhang, Jun Zhang:
Task-Oriented Communication for Edge Video Analytics. IEEE Trans. Wirel. Commun. 23(5): 4141-4154 (2024) - [j96]Hengtao He, Xianghao Yu, Jun Zhang, Shenghui Song, Khaled B. Letaief:
Message Passing Meets Graph Neural Networks: A New Paradigm for Massive MIMO Systems. IEEE Trans. Wirel. Commun. 23(5): 4709-4723 (2024) - [j95]Yuchang Sun, Jiawei Shao, Yuyi Mao, Songze Li, Jun Zhang:
Stochastic Coded Federated Learning: Theoretical Analysis and Incentive Mechanism Design. IEEE Trans. Wirel. Commun. 23(6): 6623-6638 (2024) - [j94]Yuchang Sun, Zehong Lin, Yuyi Mao, Shi Jin, Jun Zhang:
Channel and Gradient-Importance Aware Device Scheduling for Over-the-Air Federated Learning. IEEE Trans. Wirel. Commun. 23(7): 6905-6920 (2024) - [j93]Liqun Fu, Jingwen Tong, Tongtong Lin, Jun Zhang:
Data-Driven Online Resource Allocation for User Experience Improvement in Mobile Edge Clouds. IEEE Trans. Wirel. Commun. 23(10): 13707-13721 (2024) - [j92]Peiwen Jiang, Chao-Kai Wen, Xinping Yi, Xiao Li, Shi Jin, Jun Zhang:
Semantic Communications Using Foundation Models: Design Approaches and Open Issues. IEEE Wirel. Commun. 31(3): 76-84 (2024) - [c134]Xinran Li, Jun Zhang:
Context-aware Communication for Multi-agent Reinforcement Learning. AAMAS 2024: 1156-1164 - [c133]Yuhao Liu, Xinyu Bian, Yizhou Xu, Tianqi Hou, Wenjie Wang, Yuyi Mao, Jun Zhang:
Decentralizing Coherent Joint Transmission Precoding Via Deterministic Equivalents. ICASSP 2024: 8936-8940 - [c132]Wentao Yu, Hengtao He, Xianghao Yu, Shenghui Song, Jun Zhang, Ross D. Murch, Khaled B. Letaief:
Learning Bayes-Optimal Channel Estimation for Holographic MIMO in Unknown EM Environments. ICC 2024: 3592-3597 - [c131]Xinran Li, Zifan Liu, Shibo Chen, Jun Zhang:
Individual Contributions as Intrinsic Exploration Scaffolds for Multi-agent Reinforcement Learning. ICML 2024 - [c130]Wei Guo, Meng He, Chuan Huang, Hengtao He, Shenghui Song, Jun Zhang, Khaled B. Letaief:
Model-Driven Deep Learning for Distributed Detection in WSNs with Binary Quantization. MeditCom 2024: 102-107 - [c129]Songjie Xie, Hengtao He, Hongru Li, Shenghui Song, Jun Zhang, Ying-Jun Angela Zhang, Khaled B. Letaief:
Deep Learning-Based Adaptive Joint Source-Channel Coding using Hypernetworks. MeditCom 2024: 191-196 - [c128]Tianqu Kang, Lumin Liu, Hengtao He, Jun Zhang, Shenghui Song, Khaled B. Letaief:
The Effect of Quantization in Federated Learning:A Rényi Differential Privacy Perspective. MeditCom 2024: 233-238 - [c127]Zihao Hu, Jia Yan, Ying-Jun Angela Zhang, Jun Zhang, Khaled B. Letaief:
Communication-Learning Co- Design for Over-the-Air Federated Distillation. VTC Spring 2024: 1-6 - [c126]Ruoxiao Cao, Wentao Yu, Hengtao He, Xianghao Yu, Shenghui Song, Jun Zhang, Yi Gong, Khaled B. Letaief:
Newtonized Near-Field Channel Estimation for Ultra-Massive MIMO Systems. WCNC 2024: 1-6 - [i160]Songjie Xie, Hengtao He, Hongru Li, Shenghui Song, Jun Zhang, Ying-Jun Angela Zhang, Khaled B. Letaief:
Deep Learning-Based Adaptive Joint Source-Channel Coding using Hypernetworks. CoRR abs/2401.11155 (2024) - [i159]Yuchang Sun, Marios Kountouris, Jun Zhang:
How to Collaborate: Towards Maximizing the Generalization Performance in Cross-Silo Federated Learning. CoRR abs/2401.13236 (2024) - [i158]Wenqiang Sun, Teng Li, Zehong Lin, Jun Zhang:
Spatial-Aware Latent Initialization for Controllable Image Generation. CoRR abs/2401.16157 (2024) - [i157]Tailin Zhou, Jiadong Yu, Jun Zhang, Danny H. K. Tsang:
Federated Prompt-based Decision Transformer for Customized VR Services in Mobile Edge Computing System. CoRR abs/2402.09729 (2024) - [i156]Xiaolu Wang, Zijian Li, Shi Jin, Jun Zhang:
Achieving Linear Speedup in Asynchronous Federated Learning with Heterogeneous Clients. CoRR abs/2402.11198 (2024) - [i155]Xinyu Bian, Yuyi Mao, Jun Zhang:
Joint Activity-Delay Detection and Channel Estimation for Asynchronous Massive Random Access: A Free Probability Theory Approach. CoRR abs/2402.17996 (2024) - [i154]Yuhao Liu, Xinyu Bian, Yizhou Xu, Tianqi Hou, Wenjie Wang, Yuyi Mao, Jun Zhang:
Decentralizing Coherent Joint Transmission Precoding via Deterministic Equivalents. CoRR abs/2403.09958 (2024) - [i153]Xinyu Bian, Yuhao Liu, Yizhou Xu, Tianqi Hou, Wenjie Wang, Yuyi Mao, Jun Zhang:
Decentralizing Coherent Joint Transmission Precoding via Fast ADMM with Deterministic Equivalents. CoRR abs/2403.19127 (2024) - [i152]Wei Guo, Meng He, Chuan Huang, Hengtao He, Shenghui Song, Jun Zhang, Khaled B. Letaief:
Model-Driven Deep Learning for Distributed Detection with Binary Quantization. CoRR abs/2404.00309 (2024) - [i151]Hongru Li, Jiawei Shao, Hengtao He, Shenghui Song, Jun Zhang, Khaled B. Letaief:
Tackling Distribution Shifts in Task-Oriented Communication with Information Bottleneck. CoRR abs/2405.09514 (2024) - [i150]Tianqu Kang, Lumin Liu, Hengtao He, Jun Zhang, S. H. Song, Khaled B. Letaief:
The Effect of Quantization in Federated Learning: A Rényi Differential Privacy Perspective. CoRR abs/2405.10096 (2024) - [i149]Xiaolu Wang, Yuchang Sun, Hoi-To Wai, Jun Zhang:
Dual-Delayed Asynchronous SGD for Arbitrarily Heterogeneous Data. CoRR abs/2405.16966 (2024) - [i148]Jiawei Shao, Jingwen Tong, Qiong Wu, Wei Guo, Zijian Li, Zehong Lin, Jun Zhang:
WirelessLLM: Empowering Large Language Models Towards Wireless Intelligence. CoRR abs/2405.17053 (2024) - [i147]Zijian Li, Qingyan Guo, Jiawei Shao, Lei Song, Jiang Bian, Jun Zhang, Rui Wang:
Graph Neural Network Enhanced Retrieval for Question Answering of LLMs. CoRR abs/2406.06572 (2024) - [i146]Zifan Liu, Xinran Li, Shibo Chen, Gen Li, Jiashuo Jiang, Jun Zhang:
Reinforcement Learning with Intrinsically Motivated Feedback Graph for Lost-sales Inventory Control. CoRR abs/2406.18351 (2024) - [i145]Yuchang Sun, Yuexiang Xie, Bolin Ding, Yaliang Li, Jun Zhang:
Exploring Selective Layer Fine-Tuning in Federated Learning. CoRR abs/2408.15600 (2024) - [i144]Jingwen Tong, Jiawei Shao, Qiong Wu, Wei Guo, Zijian Li, Zehong Lin, Jun Zhang:
WirelessAgent: Large Language Model Agents for Intelligent Wireless Networks. CoRR abs/2409.07964 (2024) - [i143]Yingdong Hu, Zhening Liu, Jiawei Shao, Zehong Lin, Jun Zhang:
EVA-Gaussian: 3D Gaussian-based Real-time Human Novel View Synthesis under Diverse Camera Settings. CoRR abs/2410.01425 (2024) - 2023
- [j91]Yandong Shi, Lixiang Lian, Yuanming Shi, Zixin Wang, Yong Zhou, Liqun Fu, Lin Bai, Jun Zhang, Wei Zhang:
Machine Learning for Large-Scale Optimization in 6G Wireless Networks. IEEE Commun. Surv. Tutorials 25(4): 2088-2132 (2023) - [j90]Jun Li, Wei Song, Yongbin Gao, Huixing Wang, Yier Yan, Bo Huang, Jun Zhang, Wei Wang:
Monocular 3-D Object Detection Based on Depth-Guided Local Convolution for Smart Payment in D2D Systems. IEEE Internet Things J. 10(3): 2245-2254 (2023) - [j89]Xinyu Bian, Yuyi Mao, Jun Zhang:
Joint Activity Detection, Channel Estimation, and Data Decoding for Grant-Free Massive Random Access. IEEE Internet Things J. 10(16): 14042-14057 (2023) - [j88]Wentao Yu, Yifei Shen, Hengtao He, Xianghao Yu, Shenghui Song, Jun Zhang, Khaled B. Letaief:
An Adaptive and Robust Deep Learning Framework for THz Ultra-Massive MIMO Channel Estimation. IEEE J. Sel. Top. Signal Process. 17(4): 761-776 (2023) - [j87]Xiaowen Gong, Kaibin Huang, Mingzhe Chen, Carlo Fischione, Jun Zhang, Wan Choi:
Guest Editorial Special Section on Distributed Edge Learning in Wireless Networks. IEEE Open J. Commun. Soc. 4: 2729-2732 (2023) - [j86]Yuchang Sun, Jiawei Shao, Yuyi Mao, Jessie Hui Wang, Jun Zhang:
Semi-Decentralized Federated Edge Learning With Data and Device Heterogeneity. IEEE Trans. Netw. Serv. Manag. 20(2): 1487-1501 (2023) - [j85]Lumin Liu, Jun Zhang, Shenghui Song, Khaled B. Letaief:
Hierarchical Federated Learning With Quantization: Convergence Analysis and System Design. IEEE Trans. Wirel. Commun. 22(1): 2-18 (2023) - [j84]Jiawei Shao, Yuyi Mao, Jun Zhang:
Task-Oriented Communication for Multidevice Cooperative Edge Inference. IEEE Trans. Wirel. Commun. 22(1): 73-87 (2023) - [j83]Yifei Shen, Jun Zhang, Shenghui Song, Khaled B. Letaief:
Graph Neural Networks for Wireless Communications: From Theory to Practice. IEEE Trans. Wirel. Commun. 22(5): 3554-3569 (2023) - [c125]Tailin Zhou, Jun Zhang, Danny H. K. Tsang:
Mode Connectivity in Federated Learning with Data Heterogeneity. ACSSC 2023: 1600-1604 - [c124]Xuefeng Wang, Xinran Li, Jiawei Shao, Jun Zhang:
AC2C: Adaptively Controlled Two-Hop Communication for Multi-Agent Reinforcement Learning. AAMAS 2023: 427-435 - [c123]Shenyuan Gao, Chunluan Zhou, Jun Zhang:
Generalized Relation Modeling for Transformer Tracking. CVPR 2023: 18686-18695 - [c122]Hongru Li, Wentao Yu, Hengtao He, Jiawei Shao, Shenghui Song, Jun Zhang, Khaled B. Letaief:
Task-Oriented Communication with Out-of-Distribution Detection: An Information Bottleneck Framework. GLOBECOM 2023: 3136-3141 - [c121]Lumin Liu, Jun Zhang, Shenghui Song, Khaled B. Letaief:
Binary Federated Learning with Client-Level Differential Privacy. GLOBECOM 2023: 3849-3854 - [c120]Xinyu Bian, Yuyi Mao, Jun Zhang:
Joint Activity-Delay Detection and Channel Estimation for Asynchronous Massive Random Access. GLOBECOM 2023: 4939-4944 - [c119]Wentao Yu, Hengtao He, Xianghao Yu, Shenghui Song, Jun Zhang, Khaled B. Letaief:
Blind Performance Prediction for Deep Learning Based Ultra-Massive MIMO Channel Estimation. ICC 2023: 2613-2618 - [c118]Yuchang Sun, Zehong Lin, Yuyi Mao, Shi Jin, Jun Zhang:
Probabilistic Device Scheduling for Over-the-Air Federated Learning. ICCT 2023: 746-751 - [c117]Xinjie Zhang, Jiawei Shao, Jun Zhang:
Low-complexity Deep Video Compression with A Distributed Coding Architecture. ICME 2023: 2537-2542 - [c116]Meiying Zhang, Hengtao He, Shenghui Song, Jun Zhang, Khaled B. Letaief:
Resource Allocation for OTFS-Based ISAC Systems. MeditCom 2023: 282-287 - [c115]Hengtao He, Alva Kosasih, Xianghao Yu, Jun Zhang, Shenghui Song, Wibowo Hardjawana, Khaled B. Letaief:
GNN-Enhanced Approximate Message Passing for Massive/Ultra-Massive MIMO Detection. WCNC 2023: 1-6 - [i142]Yandong Shi, Lixiang Lian, Yuanming Shi, Zixin Wang, Yong Zhou, Liqun Fu, Lin Bai, Jun Zhang, Wei Zhang:
Machine Learning for Large-Scale Optimization in 6G Wireless Networks. CoRR abs/2301.03377 (2023) - [i141]Hengtao He, Xianghao Yu, Jun Zhang, Shenghui Song, Khaled B. Letaief:
Message Passing Meets Graph Neural Networks: A New Paradigm for Massive MIMO Systems. CoRR abs/2302.06896 (2023) - [i140]Xuefeng Wang, Xinran Li, Jiawei Shao, Jun Zhang:
AC2C: Adaptively Controlled Two-Hop Communication for Multi-Agent Reinforcement Learning. CoRR abs/2302.12515 (2023) - [i139]Shenyuan Gao, Chunluan Zhou, Jun Zhang:
Generalized Relation Modeling for Transformer Tracking. CoRR abs/2303.16580 (2023) - [i138]Xinyu Bian, Yuyi Mao, Jun Zhang:
Grant-free Massive Random Access with Retransmission: Receiver Optimization and Performance Analysis. CoRR abs/2304.05648 (2023) - [i137]Wenqiang Sun, Sen Li, Yuchang Sun, Jun Zhang:
DABS: Data-Agnostic Backdoor attack at the Server in Federated Learning. CoRR abs/2305.01267 (2023) - [i136]Tailin Zhou, Zehong Lin, Jun Zhang, Danny H. K. Tsang:
Understanding Model Averaging in Federated Learning on Heterogeneous Data. CoRR abs/2305.07845 (2023) - [i135]Xinyu Bian, Yuyi Mao, Jun Zhang:
Joint Activity-Delay Detection and Channel Estimation for Asynchronous Massive Random Access. CoRR abs/2305.12372 (2023) - [i134]Hongru Li, Wentao Yu, Hengtao He, Jiawei Shao, Shenghui Song, Jun Zhang, Khaled B. Letaief:
Task-Oriented Communication with Out-of-Distribution Detection: An Information Bottleneck Framework. CoRR abs/2305.12423 (2023) - [i133]Yuchang Sun, Zehong Lin, Yuyi Mao, Shi Jin, Jun Zhang:
Channel and Gradient-Importance Aware Device Scheduling for Over-the-Air Federated Learning. CoRR abs/2305.16854 (2023) - [i132]Yuchang Sun, Yuyi Mao, Jun Zhang:
MimiC: Combating Client Dropouts in Federated Learning by Mimicking Central Updates. CoRR abs/2306.12212 (2023) - [i131]Yifei Shen, Jiawei Shao, Xinjie Zhang, Zehong Lin, Hao Pan, Dongsheng Li, Jun Zhang, Khaled B. Letaief:
Large Language Models Empowered Autonomous Edge AI for Connected Intelligence. CoRR abs/2307.02779 (2023) - [i130]Jiawei Shao, Zijian Li, Wenqiang Sun, Tailin Zhou, Yuchang Sun, Lumin Liu, Zehong Lin, Jun Zhang:
A Survey of What to Share in Federated Learning: Perspectives on Model Utility, Privacy Leakage, and Communication Efficiency. CoRR abs/2307.10655 (2023) - [i129]Lumin Liu, Jun Zhang, Shenghui Song, Khaled Ben Letaief:
Binary Federated Learning with Client-Level Differential Privacy. CoRR abs/2308.03320 (2023) - [i128]Zijian Li, Yuchang Sun, Jiawei Shao, Yuyi Mao, Jessie Hui Wang, Jun Zhang:
Feature Matching Data Synthesis for Non-IID Federated Learning. CoRR abs/2308.04761 (2023) - [i127]Zijian Li, Zehong Lin, Jiawei Shao, Yuyi Mao, Jun Zhang:
FedCiR: Client-Invariant Representation Learning for Federated Non-IID Features. CoRR abs/2308.15786 (2023) - [i126]Wentao Yu, Yifan Ma, Hengtao He, Shenghui Song, Jun Zhang, Khaled B. Letaief:
AI-Native Transceiver Design for Near-Field Ultra-Massive MIMO: Principles and Techniques. CoRR abs/2309.09575 (2023) - [i125]Tailin Zhou, Jun Zhang, Danny H. K. Tsang:
Mode Connectivity and Data Heterogeneity of Federated Learning. CoRR abs/2309.16923 (2023) - [i124]Yao Zhang, Zhiwen Yu, Jun Zhang, Liang Wang, Tom H. Luan, Bin Guo, Chau Yuen:
Learning Decentralized Traffic Signal Controllers with Multi-Agent Graph Reinforcement Learning. CoRR abs/2311.03756 (2023) - [i123]Wentao Yu, Hengtao He, Xianghao Yu, Shenghui Song, Jun Zhang, Ross D. Murch, Khaled B. Letaief:
Learning Bayes-Optimal Channel Estimation for Holographic MIMO in Unknown EM Environments. CoRR abs/2311.07908 (2023) - [i122]Yuyi Mao, Xianghao Yu, Kaibin Huang, Ying-Jun Angela Zhang, Jun Zhang:
Green Edge AI: A Contemporary Survey. CoRR abs/2312.00333 (2023) - [i121]Wentao Yu, Hengtao He, Xianghao Yu, Shenghui Song, Jun Zhang, Ross D. Murch, Khaled B. Letaief:
Bayes-Optimal Unsupervised Learning for Channel Estimation in Near-Field Holographic MIMO. CoRR abs/2312.10438 (2023) - [i120]Ruoxiao Cao, Hengtao He, Xianghao Yu, Shenghui Song, Kaibin Huang, Jun Zhang, Yi Gong, Khaled B. Letaief:
Joint Channel Estimation and Cooperative Localization for Near-Field Ultra-Massive MIMO. CoRR abs/2312.13683 (2023) - 2022
- [j82]Jialin Dong, Jun Zhang, Yuanming Shi, Jessie Hui Wang:
Faster Activity and Data Detection in Massive Random Access: A Multiarmed Bandit Approach. IEEE Internet Things J. 9(15): 13664-13678 (2022) - [j81]Rongkang Dong, Yuyi Mao, Jun Zhang:
Resource-Constrained Edge AI with Early Exit Prediction. J. Commun. Inf. Networks 7(2): 122-134 (2022) - [j80]Jiawei Shao, Yuyi Mao, Jun Zhang:
Learning Task-Oriented Communication for Edge Inference: An Information Bottleneck Approach. IEEE J. Sel. Areas Commun. 40(1): 197-211 (2022) - [j79]Yinghao Yu, Chengliang Zhang, Wei Wang, Jun Zhang, Khaled Ben Letaief:
Towards Dependency-Aware Cache Management for Data Analytics Applications. IEEE Trans. Cloud Comput. 10(1): 706-723 (2022) - [j78]Long Chen, Jigang Wu, Jun Zhang, Hong-Ning Dai, Xin Long, Mianyang Yao:
Dependency-Aware Computation Offloading for Mobile Edge Computing With Edge-Cloud Cooperation. IEEE Trans. Cloud Comput. 10(4): 2451-2468 (2022) - [j77]Yifan Ma, Yifei Shen, Xianghao Yu, Jun Zhang, Shenghui Song, Khaled B. Letaief:
Learn to Communicate With Neural Calibration: Scalability and Generalization. IEEE Trans. Wirel. Commun. 21(11): 9947-9961 (2022) - [c114]Yifan Ma, Xianghao Yu, Jun Zhang, Shenghui Song, Khaled B. Letaief:
Augmented Deep Unfolding for Downlink Beamforming in Multi-cell Massive MIMO With Limited Feedback. GLOBECOM 2022: 1721-1726 - [c113]Xinyu Bian, Yuyi Mao, Jun Zhang:
Error Rate Analysis for Grant-free Massive Random Access with Short-Packet Transmission. GLOBECOM 2022: 4752-4757 - [c112]Wentao Yu, Yifei Shen, Hengtao He, Xianghao Yu, Jun Zhang, Khaled B. Letaief:
Hybrid Far- and Near-Field Channel Estimation for THz Ultra-Massive MIMO via Fixed Point Networks. GLOBECOM 2022: 5384-5389 - [c111]Lumin Liu, Jun Zhang, Shenghui Song, Khaled B. Letaief:
Communication-Efficient Federated Distillation with Active Data Sampling. ICC 2022: 201-206 - [c110]Yifei Shen, Jun Zhang, Khaled Ben Letaief:
How Neural Architectures Affect Deep Learning for Communication Networks? ICC 2022: 389-394 - [c109]Mianyang Yao, Long Chen, Jun Zhang, Jiale Huang, Jigang Wu:
Loading Cost-Aware Model Caching and Request Routing for Cooperative Edge Inference. ICC 2022: 2327-2332 - [c108]Yuchang Sun, Jiawei Shao, Yuyi Mao, Jun Zhang:
Asynchronous Semi-Decentralized Federated Edge Learning for Heterogeneous Clients. ICC 2022: 5196-5201 - [c107]Zijian Li, Jiawei Shao, Yuyi Mao, Jessie Hui Wang, Jun Zhang:
Federated Learning with GAN-Based Data Synthesis for Non-IID Clients. FL@IJCAI 2022: 17-32 - [c106]Yuchang Sun, Jiawei Shao, Songze Li, Yuyi Mao, Jun Zhang:
Stochastic Coded Federated Learning with Convergence and Privacy Guarantees. ISIT 2022: 2028-2033 - [c105]Zhefeng Qiao, Yifei Shen, Xianghao Yu, Jun Zhang, Shenghui Song, Khaled B. Letaief:
Content-Aware Client Selection for Federated Learning in Wireless Networks. MeditCom 2022: 49-54 - [c104]Ruoxiao Cao, Hengtao He, Xianghao Yu, Jun Zhang, Shenghui Song, Yi Gong, Khaled B. Letaief:
Belief Propagation for Near-Field Cooperative Localization and Tracking in 6G Vehicular Networks. MeditCom 2022: 160-165 - [c103]Jiawei Shao, Yuchang Sun, Songze Li, Jun Zhang:
DReS-FL: Dropout-Resilient Secure Federated Learning for Non-IID Clients via Secret Data Sharing. NeurIPS 2022 - [c102]Yuchang Sun, Jiawei Shao, Yuyi Mao, Jessie Hui Wang, Jun Zhang:
Semi-Decentralized Federated Edge Learning for Fast Convergence on Non-IID Data. WCNC 2022: 1898-1903 - [i119]Yuchang Sun, Jiawei Shao, Songze Li, Yuyi Mao, Jun Zhang:
Stochastic Coded Federated Learning with Convergence and Privacy Guarantees. CoRR abs/2201.10092 (2022) - [i118]Lumin Liu, Jun Zhang, Shenghui Song, Khaled B. Letaief:
Communication-Efficient Federated Distillation with Active Data Sampling. CoRR abs/2203.06900 (2022) - [i117]