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ORCIDJun 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
![[0000-0001-7835-9871]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0001-7835-9871")
— 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
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2020 – today
- 2023
[j83]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)- [j82]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) - [j81]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) - [j80]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) - [j79]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) - [j78]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) - [j77]Jiawei Shao, Yuyi Mao, Jun Zhang:
Task-Oriented Communication for Multidevice Cooperative Edge Inference. IEEE Trans. Wirel. Commun. 22(1): 73-87 (2023) - [j76]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) - [c106]Xuefeng Wang, Xinran Li, Jiawei Shao, Jun Zhang:
AC2C: Adaptively Controlled Two-Hop Communication for Multi-Agent Reinforcement Learning. AAMAS 2023: 427-435 - [c105]Shenyuan Gao, Chunluan Zhou, Jun Zhang:
Generalized Relation Modeling for Transformer Tracking. CVPR 2023: 18686-18695 - [c104]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 - [c103]Meiying Zhang, Hengtao He, Shenghui Song, Jun Zhang, Khaled B. Letaief:
Resource Allocation for OTFS-Based ISAC Systems. MeditCom 2023: 282-287 - [c102]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 - [i130]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) - [i129]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) - [i128]Xuefeng Wang, Xinran Li, Jiawei Shao, Jun Zhang:
AC2C: Adaptively Controlled Two-Hop Communication for Multi-Agent Reinforcement Learning. CoRR abs/2302.12515 (2023) - [i127]Shenyuan Gao, Chunluan Zhou, Jun Zhang:
Generalized Relation Modeling for Transformer Tracking. CoRR abs/2303.16580 (2023) - [i126]Xinyu Bian, Yuyi Mao, Jun Zhang:
Grant-free Massive Random Access with Retransmission: Receiver Optimization and Performance Analysis. CoRR abs/2304.05648 (2023) - [i125]Xinyu Bian, Yuyi Mao, Jun Zhang:
Joint Activity-Delay Detection and Channel Estimation for Asynchronous Massive Random Access. CoRR abs/2305.12372 (2023) - [i124]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) - [i123]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) - [i122]Lumin Liu, Jun Zhang, Shenghui Song, Khaled Ben Letaief:
Binary Federated Learning with Client-Level Differential Privacy. CoRR abs/2308.03320 (2023) - [i121]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) - [i120]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) - [i119]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) - 2022
- [j75]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) - [j74]Rongkang Dong, Yuyi Mao, Jun Zhang:
Resource-Constrained Edge AI with Early Exit Prediction. J. Commun. Inf. Networks 7(2): 122-134 (2022) - [j73]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) - [j72]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) - [j71]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) - [j70]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) - [c101]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 - [c100]Xinyu Bian, Yuyi Mao, Jun Zhang:
Error Rate Analysis for Grant-free Massive Random Access with Short-Packet Transmission. GLOBECOM 2022: 4752-4757 - [c99]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 - [c98]Lumin Liu, Jun Zhang, Shenghui Song, Khaled B. Letaief:
Communication-Efficient Federated Distillation with Active Data Sampling. ICC 2022: 201-206 - [c97]Yifei Shen, Jun Zhang, Khaled Ben Letaief:
How Neural Architectures Affect Deep Learning for Communication Networks? ICC 2022: 389-394 - [c96]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 - [c95]Yuchang Sun, Jiawei Shao, Yuyi Mao, Jun Zhang:
Asynchronous Semi-Decentralized Federated Edge Learning for Heterogeneous Clients. ICC 2022: 5196-5201 - [c94]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 - [c93]Yuchang Sun, Jiawei Shao, Songze Li, Yuyi Mao, Jun Zhang:
Stochastic Coded Federated Learning with Convergence and Privacy Guarantees. ISIT 2022: 2028-2033 - [c92]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 - [c91]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 - [c90]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 - [c89]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 - [i118]Yuchang Sun, Jiawei Shao, Songze Li, Yuyi Mao, Jun Zhang:
Stochastic Coded Federated Learning with Convergence and Privacy Guarantees. CoRR abs/2201.10092 (2022) - [i117]Lumin Liu, Jun Zhang, Shenghui Song, Khaled B. Letaief:
Communication-Efficient Federated Distillation with Active Data Sampling. CoRR abs/2203.06900 (2022) - [i116]Yifei Shen, Jun Zhang, Shenghui Song, Khaled B. Letaief:
Graph Neural Networks for Wireless Communications: From Theory to Practice. CoRR abs/2203.10800 (2022) - [i115]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. CoRR abs/2205.04944 (2022) - [i114]Xinyu Bian, Yuyi Mao, Jun Zhang:
Error Rate Analysis for Grant-free Massive Random Access with Short-Packet Transmission. CoRR abs/2205.05304 (2022) - [i113]Hengtao He, Alva Kosasih, Xianghao Yu, Jun Zhang, Shenghui Song, Wibowo Hardjawana, Khaled B. Letaief:
Graph Neural Network Enhanced Approximate Message Passing for MIMO Detection. CoRR abs/2205.10620 (2022) - [i112]Zijian Li, Jiawei Shao, Yuyi Mao, Jessie Hui Wang, Jun Zhang:
Federated Learning with GAN-based Data Synthesis for Non-IID Clients. CoRR abs/2206.05507 (2022) - [i111]Rongkang Dong, Yuyi Mao, Jun Zhang:
Resource-Constrained Edge AI with Early Exit Prediction. CoRR abs/2206.07269 (2022) - [i110]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. CoRR abs/2209.01436 (2022) - [i109]Jiawei Shao, Yuchang Sun, Songze Li, Jun Zhang:
DReS-FL: Dropout-Resilient Secure Federated Learning for Non-IID Clients via Secret Data Sharing. CoRR abs/2210.02680 (2022) - [i108]Yuchang Sun, Jiawei Shao, Yuyi Mao, Songze Li, Jun Zhang:
Stochastic Coded Federated Learning: Theoretical Analysis and Incentive Mechanism Design. CoRR abs/2211.04132 (2022) - [i107]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. CoRR abs/2211.07985 (2022) - [i106]Yifan Ma, Wentao Yu, Xianghao Yu, Jun Zhang, Shenghui Song, Khaled B. Letaief:
Lightweight and Adaptive FDD Massive MIMO CSI Feedback with Deep Equilibrium Learning. CoRR abs/2211.15079 (2022) - [i105]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. CoRR abs/2211.15939 (2022) - 2021
- [j69]Long Chen, Jigang Wu, Jun Zhang:
Long-term optimization for MEC-enabled HetNets with device-edge-cloud collaboration. Comput. Commun. 166: 66-80 (2021) - [j68]Hengtao He, Xianghao Yu, Jun Zhang, Shenghui Song, Khaled B. Letaief:
Cell-Free Massive MIMO for 6G Wireless Communication Networks. J. Commun. Inf. Networks 6(4): 321-335 (2021) - [j67]Yifei Shen, Yuanming Shi, Jun Zhang, Khaled B. Letaief:
Graph Neural Networks for Scalable Radio Resource Management: Architecture Design and Theoretical Analysis. IEEE J. Sel. Areas Commun. 39(1): 101-115 (2021) - [j66]Dongzhu Liu, Guangxu Zhu, Jun Zhang, Kaibin Huang:
Data-Importance Aware User Scheduling for Communication-Efficient Edge Machine Learning. IEEE Trans. Cogn. Commun. Netw. 7(1): 265-278 (2021) - [j65]Dongzhu Liu, Guangxu Zhu, Qunsong Zeng, Jun Zhang, Kaibin Huang:
Wireless Data Acquisition for Edge Learning: Data-Importance Aware Retransmission. IEEE Trans. Wirel. Commun. 20(1): 406-420 (2021) - [j64]Ye Xue, Yifei Shen, Vincent K. N. Lau, Jun Zhang, Khaled B. Letaief:
Blind Data Detection in Massive MIMO via ℓ₃-Norm Maximization Over the Stiefel Manifold. IEEE Trans. Wirel. Commun. 20(2): 1411-1424 (2021) - [j63]Xingyu Zhao, Tian Lin, Yu Zhu, Jun Zhang:
Partially-Connected Hybrid Beamforming for Spectral Efficiency Maximization via a Weighted MMSE Equivalence. IEEE Trans. Wirel. Commun. 20(12): 8218-8232 (2021) - [c88]He Wang, Yifei Shen, Ziyuan Wang, Dongsheng Li, Jun Zhang, Khaled B. Letaief, Jie Lu:
Decentralized Statistical Inference with Unrolled Graph Neural Networks. CDC 2021: 2634-2640 - [c87]Yifei Shen, Yongji Wu, Yao Zhang, Caihua Shan, Jun Zhang, Khaled B. Letaief, Dongsheng Li:
How Powerful is Graph Convolution for Recommendation? CIKM 2021: 1619-1629 - [c86]Hengtao He, Hanqing Wang, Xianghao Yu, Jun Zhang, Shenghui Song, Khaled B. Letaief:
Distributed Expectation Propagation Detection for Cell-Free Massive MIMO. GLOBECOM 2021: 1-6 - [c85]Yifan Ma, Yifei Shen, Xianghao Yu, Jun Zhang, Shenghui Song, Khaled B. Letaief:
Neural Calibration for Scalable Beamforming in FDD Massive MIMO with Implicit Channel Estimation. GLOBECOM 2021: 1-6 - [c84]Xinjie Zhang, Jiawei Shao, Yuyi Mao, Jun Zhang:
Communication-Computation Efficient Device-Edge Co-Inference via AutoML. GLOBECOM 2021: 1-6 - [c83]Jiawei Shao, Haowei Zhang, Yuyi Mao, Jun Zhang:
Branchy-GNN: A Device-Edge Co-Inference Framework for Efficient Point Cloud Processing. ICASSP 2021: 8488-8492 - [c82]Xinyu Bian, Yuyi Mao, Jun Zhang:
Supporting More Active Users for Massive Access via Data-assisted Activity Detection. ICC 2021: 1-6 - [c81]Yifei Shen, Jun Zhang, Shenghui Song, Khaled B. Letaief:
AI Empowered Resource Management for Future Wireless Networks. MeditCom 2021: 252-257 - [c80]Xinyu Bian, Yuyi Mao, Jun Zhang:
Joint Activity Detection and Data Decoding in Massive Random Access via a Turbo Receiver. SPAWC 2021: 361-365 - [i104]Jiawei Shao, Yuyi Mao, Jun Zhang:
Learning Task-Oriented Communication for Edge Inference: An Information Bottleneck Approach. CoRR abs/2102.04170 (2021) - [i103]Xinyu Bian, Yuyi Mao, Jun Zhang:
Supporting More Active Users for Massive Access via Data-assisted Activity Detection. CoRR abs/2102.08621 (2021) - [i102]Lumin Liu, Jun Zhang, Shenghui Song, Khaled B. Letaief:
Hierarchical Quantized Federated Learning: Convergence Analysis and System Design. CoRR abs/2103.14272 (2021) - [i101]He Wang, Yifei Shen, Ziyuan Wang, Dongsheng Li, Jun Zhang, Khaled B. Letaief, Jie Lu:
Decentralized Statistical Inference with Unrolled Graph Neural Networks. CoRR abs/2104.01555 (2021) - [i100]Zhefeng Qiao, Xianghao Yu, Jun Zhang, Khaled B. Letaief:
Communication-Efficient Federated Learning with Dual-Side Low-Rank Compression. CoRR abs/2104.12416 (2021) - [i99]Xinyu Bian, Yuyi Mao, Jun Zhang:
Joint Activity Detection and Data Decoding in Massive Random Access via a Turbo Receiver. CoRR abs/2104.12443 (2021) - [i98]Yuchang Sun, Jiawei Shao, Yuyi Mao, Jun Zhang:
Semi-Decentralized Federated Edge Learning for Fast Convergence on Non-IID Data. CoRR abs/2104.12678 (2021) - [i97]Yifei Shen, Jun Zhang, Shenghui Song, Khaled B. Letaief:
AI Empowered Resource Management for Future Wireless Networks. CoRR abs/2106.06178 (2021) - [i96]Bo Li, Yifei Shen, Yezhen Wang, Wenzhen Zhu, Colorado J. Reed, Jun Zhang, Dongsheng Li, Kurt Keutzer, Han Zhao:
Invariant Information Bottleneck for Domain Generalization. CoRR abs/2106.06333 (2021) - [i95]Xinyu Bian, Yuyi Mao, Jun Zhang:
Joint Activity Detection, Channel Estimation, and Data Decoding for Grant-free Massive Random Access. CoRR abs/2107.05246 (2021) - [i94]Yifan Ma, Yifei Shen, Xianghao Yu, Jun Zhang, Shenghui Song, Khaled B. Letaief:
Neural Calibration for Scalable Beamforming in FDD Massive MIMO with Implicit Channel Estimation. CoRR abs/2108.01529 (2021) - [i93]Hengtao He, Hanqing Wang, Xianghao Yu, Jun Zhang, Shenghui Song, Khaled B. Letaief:
Distributed Expectation Propagation Detection for Cell-Free Massive MIMO. CoRR abs/2108.07498 (2021) - [i92]Yifei Shen, Yongji Wu, Yao Zhang, Caihua Shan, Jun Zhang, Khaled B. Letaief, Dongsheng Li:
How Powerful is Graph Convolution for Recommendation? CoRR abs/2108.07567 (2021) - [i91]Xinjie Zhang, Jiawei Shao, Yuyi Mao, Jun Zhang:
Communication-Computation Efficient Device-Edge Co-Inference via AutoML. CoRR abs/2108.13009 (2021) - [i90]Jiawei Shao, Yuyi Mao, Jun Zhang:
Task-Oriented Communication for Multi-Device Cooperative Edge Inference. CoRR abs/2109.00172 (2021) - [i89]Yifan Ma, Yifei Shen, Xianghao Yu, Jun Zhang, Shenghui Song, Khaled B. Letaief:
Learn to Communicate with Neural Calibration: Scalability and Generalization. CoRR abs/2110.00272 (2021) - [i88]Hengtao He, Xianghao Yu, Jun Zhang, Shenghui Song, Khaled B. Letaief:
Cell-Free Massive MIMO for 6G Wireless Communication Networks. CoRR abs/2110.07309 (2021) - [i87]Yifei Shen, Jun Zhang, Khaled B. Letaief:
How Neural Architectures Affect Deep Learning for Communication Networks? CoRR abs/2111.02215 (2021) - [i86]Hengtao He, Xianghao Yu, Jun Zhang, Shenghui Song, Khaled B. Letaief:
Cell-Free Massive MIMO Detection: A Distributed Expectation Propagation Approach. CoRR abs/2111.14022 (2021) - [i85]Yuchang Sun, Jiawei Shao, Yuyi Mao, Jun Zhang:
Asynchronous Semi-Decentralized Federated Edge Learning for Heterogeneous Clients. CoRR abs/2112.04737 (2021) - [i84]Yuchang Sun, Jiawei Shao, Yuyi Mao, Jessie Hui Wang, Jun Zhang:
Semi-Decentralized Federated Edge Learning with Data and Device Heterogeneity. CoRR abs/2112.10313 (2021) - 2020
- [j62]Guangxu Zhu, Dongzhu Liu, Yuqing Du, Changsheng You, Jun Zhang, Kaibin Huang:
Toward an Intelligent Edge: Wireless Communication Meets Machine Learning. IEEE Commun. Mag. 58(1): 19-25 (2020) - [j61]Jiawei Shao, Jun Zhang:
Communication-Computation Trade-off in Resource-Constrained Edge Inference. IEEE Commun. Mag. 58(12): 20-26 (2020) - [j60]Yuanming Shi, Kai Yang, Tao Jiang, Jun Zhang, Khaled B. Letaief:
Communication-Efficient Edge AI: Algorithms and Systems. IEEE Commun. Surv. Tutorials 22(4): 2167-2191 (2020) - [j59]Xiangyu Yang, Sheng Hua, Yuanming Shi, Hao Wang, Jun Zhang, Khaled B. Letaief:
Sparse Optimization for Green Edge AI Inference. J. Commun. Inf. Networks 5(1): 1-15 (2020) - [j58]Jun Zhang, Xianghao Yu, Khaled B. Letaief:
Hybrid Beamforming for 5G and Beyond Millimeter-Wave Systems: A Holistic View. IEEE Open J. Commun. Soc. 1: 77-91 (2020) - [j57]Jun Zhang, Khaled Ben Letaief:
Mobile Edge Intelligence and Computing for the Internet of Vehicles. Proc. IEEE 108(2): 246-261 (2020) - [j56]Yinghao Yu, Wei Wang, Renfei Huang, Jun Zhang, Khaled Ben Letaief:
Achieving Load-Balanced, Redundancy-Free Cluster Caching with Selective Partition. IEEE Trans. Parallel Distributed Syst. 31(2): 439-454 (2020) - [j55]Yifei Shen, Yuanming Shi, Jun Zhang, Khaled Ben Letaief:
LORM: Learning to Optimize for Resource Management in Wireless Networks With Few Training Samples. IEEE Trans. Wirel. Commun. 19(1): 665-679 (2020) - [j54]Li Wang, Jun Zhang, Jianbin Chuan, Ruqiu Ma, Aiguo Fei:
Edge Intelligence for Mission Cognitive Wireless Emergency Networks. IEEE Wirel. Commun. 27(4): 103-109 (2020) - [c79]Yifan Ma, Yifei Shen, Xianghao Yu, Jun Zhang, Shenghui Song, Khaled B. Letaief:
A Low-Complexity Algorithmic Framework for Large-Scale IRS-Assisted Wireless Systems. GLOBECOM (Workshops) 2020: 1-6 - [c78]Haitao Zhao, Jun Zhang, Xiaoqing Li, Qin Wang, Hongbo Zhu:
Deep Learning-based Prediction of Traffic Accident Risk in Vehicular Networks. GLOBECOM (Workshops) 2020: 1-5 - [c77]Jialin Dong, Jun Zhang, Yuanming Shi:
Bandit Sampling for Faster Activity and Data Detection in Massive Random Access. ICASSP 2020: 8319-8323 - [c76]Lumin Liu, Jun Zhang, Shenghui Song, Khaled B. Letaief:
Client-Edge-Cloud Hierarchical Federated Learning. ICC 2020: 1-6 - [c75]