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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)
- Jun Zhang 0069
— Zhejiang University, State Key Laboratory of Blockchain and Data Security, China
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2020 – today
- 2025
- [j114]Wentao Yu, Yifan Ma, Hengtao He, Shenghui Song, Jun Zhang, Khaled B. Letaief:
Deep Learning for Near-Field XL-MIMO Transceiver Design: Principles and Techniques. IEEE Commun. Mag. 63(1): 52-58 (2025) - [j113]Xiaolu Wang
, Zijian Li
, Shi Jin
, Jun Zhang
:
Achieving Linear Speedup in Asynchronous Federated Learning With Heterogeneous Clients. IEEE Trans. Mob. Comput. 24(1): 435-448 (2025) - 2024
- [j112]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) - [j111]Lumin Liu, Jun Zhang
, Shenghui Song
, Khaled B. Letaief
:
Communication-Efficient Federated Distillation: Theoretical Analysis and Performance Enhancement. IEEE Internet Things J. 11(23): 37959-37973 (2024) - [j110]Jiawei Shao, Jingwen Tong, Qiong Wu, Wei Guo, Zijian Li, Zehong Lin, Jun Zhang:
WirelessLLM: Empowering Large Language Models Towards Wireless Intelligence. J. Commun. Inf. Networks 9(2): 99-112 (2024) - [j109]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. IEEE J. Sel. Top. Signal Process. 18(4): 714-729 (2024) - [j108]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) - [j107]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) - [j106]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) - [j105]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) - [j104]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) - [j103]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) - [j102]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) - [j101]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) - [j100]Jingwen Tong
, Zhenzhen Chen, Liqun Fu
, Jun Zhang
, Zhu Han
:
From Learning to Analytics: Improving Model Efficacy With Goal-Directed Client Selection. IEEE Trans. Mob. Comput. 23(12): 10803-10817 (2024) - [j99]Tailin Zhou
, Zehong Lin
, Jun Zhang
, Danny H. K. Tsang
:
Understanding and Improving Model Averaging in Federated Learning on Heterogeneous Data. IEEE Trans. Mob. Comput. 23(12): 12131-12145 (2024) - [j98]Jingwen Tong
, Xinran Li
, Liqun Fu
, Jun Zhang
, Khaled B. Letaief
:
A Federated Online Restless Bandit Framework for Cooperative Resource Allocation. IEEE Trans. Mob. Comput. 23(12): 15274-15288 (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) - [c138]Xinran Li, Jun Zhang:
Context-aware Communication for Multi-agent Reinforcement Learning. AAMAS 2024: 1156-1164 - [c137]Zhening Liu, Xinjie Zhang
, Jiawei Shao
, Zehong Lin
, Jun Zhang
:
Bidirectional Stereo Image Compression with Cross-Dimensional Entropy Model. ECCV (8) 2024: 480-496 - [c136]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 - [c135]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 - [c134]Xinran Li, Zifan Liu, Shibo Chen, Jun Zhang:
Individual Contributions as Intrinsic Exploration Scaffolds for Multi-agent Reinforcement Learning. ICML 2024 - [c133]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 - [c132]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 - [c131]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 - [c130]Jiawei Shao, Teng Li, Jun Zhang:
Task-Oriented Communication for Vehicle-to-Infrastructure Cooperative Perception. MLSP 2024: 1-6 - [c129]Boyi Liu
, Jingwen Tong
, Jun Zhang
:
Poster Abstract: LLM-Slice: Dedicated Wireless Network Slicing for Large Language Models. SenSys 2024: 853-854 - [c128]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 - [c127]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 - [i176]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) - [i175]Yuchang Sun, Marios Kountouris, Jun Zhang:
How to Collaborate: Towards Maximizing the Generalization Performance in Cross-Silo Federated Learning. CoRR abs/2401.13236 (2024) - [i174]Wenqiang Sun, Teng Li, Zehong Lin, Jun Zhang:
Spatial-Aware Latent Initialization for Controllable Image Generation. CoRR abs/2401.16157 (2024) - [i173]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) - [i172]Xiaolu Wang, Zijian Li, Shi Jin, Jun Zhang:
Achieving Linear Speedup in Asynchronous Federated Learning with Heterogeneous Clients. CoRR abs/2402.11198 (2024) - [i171]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) - [i170]Xinjie Zhang, Shenyuan Gao, Zhening Liu, Jiawei Shao, Xingtong Ge, Dailan He, Tongda Xu, Yan Wang, Jun Zhang:
Content-aware Masked Image Modeling Transformer for Stereo Image Compression. CoRR abs/2403.08505 (2024) - [i169]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) - [i168]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) - [i167]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) - [i166]Jingwen Tong, Zhenzhen Chen, Liqun Fu, Jun Zhang, Zhu Han:
From Learning to Analytics: Improving Model Efficacy with Goal-Directed Client Selection. CoRR abs/2404.00371 (2024) - [i165]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) - [i164]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. CoRR abs/2405.10096 (2024) - [i163]Boyi Liu, Jingwen Tong, Yufan Zhuang, Jiawei Shao, Jun Zhang:
EdgeLoc: A Communication-Adaptive Parallel System for Real-Time Localization in Infrastructure-Assisted Autonomous Driving. CoRR abs/2405.12120 (2024) - [i162]Xiaolu Wang, Yuchang Sun, Hoi-To Wai, Jun Zhang:
Dual-Delayed Asynchronous SGD for Arbitrarily Heterogeneous Data. CoRR abs/2405.16966 (2024) - [i161]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) - [i160]Xinran Li, Zifan Liu, Shibo Chen, Jun Zhang:
Individual Contributions as Intrinsic Exploration Scaffolds for Multi-agent Reinforcement Learning. CoRR abs/2405.18110 (2024) - [i159]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) - [i158]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) - [i157]Zhening Liu, Xinjie Zhang, Jiawei Shao, Zehong Lin, Jun Zhang:
Bidirectional Stereo Image Compression with Cross-Dimensional Entropy Model. CoRR abs/2407.10632 (2024) - [i156]Yuchang Sun, Yuexiang Xie, Bolin Ding, Yaliang Li, Jun Zhang:
Exploring Selective Layer Fine-Tuning in Federated Learning. CoRR abs/2408.15600 (2024) - [i155]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) - [i154]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) - [i153]Boyi Liu, Jingwen Tong, Jun Zhang:
LLM-Slice: Dedicated Wireless Network Slicing for Large Language Models. CoRR abs/2410.18499 (2024) - [i152]Tianqu Kang, Zixin Wang, Hengtao He, Jun Zhang, Shenghui Song, Khaled B. Letaief:
Federated Low-Rank Adaptation with Differential Privacy over Wireless Networks. CoRR abs/2411.07806 (2024) - [i151]Zhening Liu, Yingdong Hu, Xinjie Zhang, Jiawei Shao, Zehong Lin, Jun Zhang:
Dynamics-Aware Gaussian Splatting Streaming Towards Fast On-the-Fly Training for 4D Reconstruction. CoRR abs/2411.14847 (2024) - [i150]Songjie Xie, Hengtao He, Shenghui Song, Jun Zhang, Khaled B. Letaief:
Toward Real-Time Edge AI: Model-Agnostic Task-Oriented Communication with Visual Feature Alignment. CoRR abs/2412.00862 (2024) - [i149]Songjie Xie, Hengtao He, Shenghui Song, Jun Zhang, Khaled B. Letaief:
Siamese Machine Unlearning with Knowledge Vaporization and Concentration. CoRR abs/2412.01207 (2024) - [i148]Chaozheng Wen, Jingwen Tong, Yingdong Hu, Zehong Lin, Jun Zhang:
WRF-GS: Wireless Radiation Field Reconstruction with 3D Gaussian Splatting. CoRR abs/2412.04832 (2024) - [i147]Wentao Yu, Hengtao He, Shenghui Song, Jun Zhang, Linglong Dai, Lizhong Zheng, Khaled B. Letaief:
AI and Deep Learning for THz Ultra-Massive MIMO: From Model-Driven Approaches to Foundation Models. CoRR abs/2412.09839 (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) - [c126]Tailin Zhou, Jun Zhang, Danny H. K. Tsang:
Mode Connectivity in Federated Learning with Data Heterogeneity. ACSSC 2023: 1600-1604 - [c125]Xuefeng Wang, Xinran Li, Jiawei Shao, Jun Zhang:
AC2C: Adaptively Controlled Two-Hop Communication for Multi-Agent Reinforcement Learning. AAMAS 2023: 427-435 - [c124]Shenyuan Gao, Chunluan Zhou, Jun Zhang:
Generalized Relation Modeling for Transformer Tracking. CVPR 2023: 18686-18695 - [c123]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 - [c122]Lumin Liu, Jun Zhang, Shenghui Song, Khaled B. Letaief:
Binary Federated Learning with Client-Level Differential Privacy. GLOBECOM 2023: 3849-3854 - [c121]Xinyu Bian, Yuyi Mao, Jun Zhang:
Joint Activity-Delay Detection and Channel Estimation for Asynchronous Massive Random Access. GLOBECOM 2023: 4939-4944 - [c120]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 - [c119]Yuchang Sun, Zehong Lin, Yuyi Mao, Shi Jin, Jun Zhang:
Probabilistic Device Scheduling for Over-the-Air Federated Learning. ICCT 2023: 746-751 - [c118]Xinjie Zhang, Jiawei Shao, Jun Zhang:
LDMIC: Learning-based Distributed Multi-view Image Coding. ICLR 2023 - [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 - [i146]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) - [i145]Xinjie Zhang, Jiawei Shao, Jun Zhang:
LDMIC: Learning-based Distributed Multi-view Image Coding. CoRR abs/2301.09799 (2023) - [i144]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) - [i143]Xuefeng Wang, Xinran Li, Jiawei Shao, Jun Zhang:
AC2C: Adaptively Controlled Two-Hop Communication for Multi-Agent Reinforcement Learning. CoRR abs/2302.12515 (2023) - [i142]Xinjie Zhang, Jiawei Shao, Jun Zhang:
Low-complexity Deep Video Compression with A Distributed Coding Architecture. CoRR abs/2303.11599 (2023) - [i141]Shenyuan Gao
, Chunluan Zhou, Jun Zhang:
Generalized Relation Modeling for Transformer Tracking. CoRR abs/2303.16580 (2023) - [i140]Jiawei Shao, Fangzhao Wu, Jun Zhang:
Selective Knowledge Sharing for Privacy-Preserving Federated Distillation without A Good Teacher. CoRR abs/2304.01731 (2023) - [i139]Xinyu Bian, Yuyi Mao, Jun Zhang:
Grant-free Massive Random Access with Retransmission: Receiver Optimization and Performance Analysis. CoRR abs/2304.05648 (2023) - [i138]Wenqiang Sun, Sen Li, Yuchang Sun, Jun Zhang:
DABS: Data-Agnostic Backdoor attack at the Server in Federated Learning. CoRR abs/2305.01267 (2023) - [i137]Tailin Zhou, Zehong Lin, Jun Zhang, Danny H. K. Tsang:
Understanding Model Averaging in Federated Learning on Heterogeneous Data. CoRR abs/2305.07845 (2023) - [i136]Xinyu Bian, Yuyi Mao, Jun Zhang:
Joint Activity-Delay Detection and Channel Estimation for Asynchronous Massive Random Access. CoRR abs/2305.12372 (2023) - [i135]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) - [i134]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) - [i133]Yuchang Sun, Yuyi Mao, Jun Zhang:
MimiC: Combating Client Dropouts in Federated Learning by Mimicking Central Updates. CoRR abs/2306.12212 (2023) - [i132]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) - [i131]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) - [i130]Lumin Liu, Jun Zhang, Shenghui Song, Khaled Ben Letaief:
Binary Federated Learning with Client-Level Differential Privacy. CoRR abs/2308.03320 (2023) - [i129]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) - [i128]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) - [i127]Wentao Yu,