Jun Zhang

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All published works

Action	Title	Year	Authors
+ PDF Chat	Federated Low-Rank Adaptation with Differential Privacy over Wireless Networks	2024	Tianqu Kang Zixin Wang Hengtao He Jun Zhang Shenghui Song Khaled B. Letaief
+ PDF Chat	Symbol-Level Precoding-Based Self-Interference Cancellation for ISAC Systems	2024	Shu Cai Zihao Chen Ya‐Feng Liu Jun Zhang
+ PDF Chat	EaTVul: ChatGPT-based Evasion Attack Against Software Vulnerability Detection	2024	Shigang Liu Di Cao Junae Kim Tamas Abraham Paul Montague Seyit Camtepe Jun Zhang Yang Xiang
+ PDF Chat	The Effect of Quantization in Federated Learning:A Rényi Differential Privacy Perspective	2024	Tianqu Kang Lumin Liu Hengtao He Jun Zhang S. H. Song Khaled B. Letaief
+ PDF Chat	The Effect of Quantization in Federated Learning: A R\'enyi Differential Privacy Perspective	2024	Tianqu Kang Lumin Liu Hengtao He Jun Zhang S. H. Song Khaled B. Letaief
+ PDF Chat	Beyond MMSE: Rank-1 Subspace Channel Estimator for Massive MIMO Systems	2024	Bin Li Ziping Wei Shaoshi Yang Yang Zhang Jun Zhang Chenglin Zhao Sheng Chen
+ PDF Chat	Beyond MMSE: Rank-1 Subspace Channel Estimator for Massive MIMO Systems	2024	Bin Li Ziping Wei Shaoshi Yang Yang Zhang Jun Zhang Chenglin Zhao Sheng Chen
+ PDF Chat	On the Downlink Average Energy Efficiency of Non-Stationary XL-MIMO	2024	Jun Zhang Jiacheng Lu Jingjing Zhang Yu Han Jue Wang Shi Jin
+ PDF Chat	Binary Federated Learning with Client-Level Differential Privacy	2023	Lumin Liu Jun Zhang Shenghui Song Khaled B. Letaief
+	Selective Knowledge Sharing for Privacy-Preserving Federated Distillation without A Good Teacher	2023	Jun Zhang Jiawei Shao Fangzhao Wu
+	Machine Learning for Large-Scale Optimization in 6G Wireless Networks	2023	Yandong Shi Lixiang Lian Yuanming Shi Zixin Wang Yong Zhou Liqun Fu Lin Bai Jun Zhang Wei Zhang
+	AC2C: Adaptively Controlled Two-Hop Communication for Multi-Agent Reinforcement Learning	2023	Xuefeng Wang Xinran Li Jiawei Shao Jun Zhang
+	Selective Knowledge Sharing for Privacy-Preserving Federated Distillation without A Good Teacher	2023	Jiawei Shao Fangzhao Wu Jun Zhang
+	DABS: Data-Agnostic Backdoor attack at the Server in Federated Learning	2023	Wenqiang Sun Sen Li Yuchang Sun Jun Zhang
+	Binary Federated Learning with Client-Level Differential Privacy	2023	Lumin Liu Jun Zhang Shenghui Song Khaled B. Letaief
+	Mode Connectivity and Data Heterogeneity of Federated Learning	2023	Tailin Zhou Jun Zhang Danny H. K. Tsang
+	Bayes-Optimal Unsupervised Learning for Channel Estimation in Near-Field Holographic MIMO	2023	Wentao Yu Hengtao He Xianghao Yu Shenghui Song Jun Zhang Ross Murch Khaled B. Letaief
+ PDF Chat	Model-Driven Deep Learning-Based MIMO-OFDM Detector: Design, Simulation, and Experimental Results	2022	Xingyu Zhou Jing Zhang Chen-Wei Syu Chao-Kai Wen Jun Zhang Shi Jin
+ PDF Chat	Asynchronous Semi-Decentralized Federated Edge Learning for Heterogeneous Clients	2022	Yuchang Sun Jiawei Shao Yuyi Mao Jun Zhang
+ PDF Chat	Communication-Efficient Federated Distillation with Active Data Sampling	2022	Lumin Liu Jun Zhang Shenghui Song Khaled B. Letaief
+ PDF Chat	Semi-Decentralized Federated Edge Learning for Fast Convergence on Non-IID Data	2022	Yuchang Sun Jiawei Shao Yuyi Mao Jessie Hui Wang Jun Zhang
+	Communication-Efficient Federated Distillation with Active Data Sampling	2022	Lumin Liu Jun Zhang S. H. Song Khaled B. Letaief
+	SoK: An Overview of PPG's Application in Authentication	2022	Lin Li Chao Chen Lei Pan Leo Yu Zhang Zhifeng Wang Jun Zhang Yang Xiang
+	Error Rate Analysis for Grant-free Massive Random Access with Short-Packet Transmission	2022	Xinyu Bian Yuyi Mao Jun Zhang
+	Stochastic Coded Federated Learning with Convergence and Privacy Guarantees	2022	Yuchang Sun Jiawei Shao Songze Li Yuyi Mao Jun Zhang
+	DReS-FL: Dropout-Resilient Secure Federated Learning for Non-IID Clients via Secret Data Sharing	2022	Jiawei Shao Yuchang Sun Songze Li Jun Zhang
+	Stochastic Coded Federated Learning: Theoretical Analysis and Incentive Mechanism Design	2022	Yuchang Sun Jiawei Shao Yuyi Mao Songze Li Jun Zhang
+	FedFA: Federated Learning with Feature Anchors to Align Features and Classifiers for Heterogeneous Data	2022	Tailin Zhou Jun Zhang Danny H. K. Tsang
+	Federated Learning with GAN-based Data Synthesis for Non-IID Clients	2022	Zijian Li Jiawei Shao Yuyi Mao Jessie Hui Wang Jun Zhang
+ PDF Chat	Asynchronous Semi-Decentralized Federated Edge Learning for Heterogeneous Clients	2021	Yuchang Sun Jiawei Shao Yuyi Mao Jun Zhang
+ PDF Chat	AI Empowered Resource Management for Future Wireless Networks	2021	Yifei Shen Jun Zhang Shenghui Song Khaled B. Letaief
+ PDF Chat	Supporting More Active Users for Massive Access via Data-assisted Activity Detection	2021	Xinyu Bian Yuyi Mao Jun Zhang
+ PDF Chat	Large System Achievable Rate Analysis of RIS-Assisted MIMO Wireless Communication With Statistical CSIT	2021	Jun Zhang Jie Liu Shaodan Ma Chao-Kai Wen Shi Jin
+ PDF Chat	Supporting More Active Users for Massive Access via Data-assisted Activity Detection	2021	Xinyu Bian Yuyi Mao Jun Zhang
+	Supporting More Active Users for Massive Access via Data-assisted Activity Detection	2021	Xinyu Bian Yuyi Mao Jun Zhang
+	Large System Achievable Rate Analysis of RIS-Assisted MIMO Wireless Communication with Statistical CSIT	2021	Jun Zhang Jie Liu Shaodan Ma Chao-Kai Wen Shi Jin
+	Hierarchical Federated Learning with Quantization: Convergence Analysis and System Design	2021	Lumin Liu Jun Zhang Shenghui Song Khaled B. Letaief
+	Communication-Efficient Federated Learning with Dual-Side Low-Rank Compression	2021	Zhefeng Qiao Xianghao Yu Jun Zhang Khaled B. Letaief
+	Privacy Inference Attacks and Defenses in Cloud-based Deep Neural Network: A Survey	2021	Xiaoyu Zhang Chao Chen Yi Xie Xiaofeng Chen Jun Zhang Yang Xiang
+	Information flow based defensive chain for data leakage detection and prevention: a survey	2021	Ning Xi Chao Chen Jun Zhang Cong Sun Shigang Liu Pengbin Feng Jianfeng Ma
+	Distributed Expectation Propagation Detection for Cell-Free Massive MIMO	2021	Hengtao He Hanqing Wang Xianghao Yu Jun Zhang Shenghui Song Khaled B. Letaief
+	Semi-Decentralized Federated Edge Learning with Data and Device Heterogeneity	2021	Yuchang Sun Jiawei Shao Yuyi Mao Jessie Hui Wang Jun Zhang
+	Asynchronous Semi-Decentralized Federated Edge Learning for Heterogeneous Clients	2021	Yuchang Sun Jiawei Shao Yuyi Mao Jun Zhang
+	Semi-Decentralized Federated Edge Learning for Fast Convergence on Non-IID Data	2021	Yuchang Sun Jiawei Shao Yuyi Mao Jessie Hui Wang Jun Zhang
+ PDF Chat	The Audio Auditor: User-Level Membership Inference in Internet of Things Voice Services	2020	Yuantian Miao Minhui Xue Chao Chen Lei Pan Jun Zhang Benjamin Zi Hao Zhao Dali Kaafar Yang Xiang
+	A Low-Complexity Algorithmic Framework for Large-Scale IRS-Assisted Wireless Systems	2020	Yifan Ma Yifei Shen Xianghao Yu Jun Zhang Shenghui Song Khaled B. Letaief
+	A Deep Learning Framework for Optimization of MISO Downlink Beamforming	2019	Wenchao Xia Gan Zheng Yongxu Zhu Jun Zhang Jiangzhou Wang Athina P. Petropulu
+	The Audio Auditor: User-Level Membership Inference in Internet of Things Voice Services	2019	Yuantian Miao Minhui Xue Chao Chen Lei Pan Jun Zhang Benjamin Zi Hao Zhao Dali Kaafar Yang Xiang
+	Edge-Assisted Hierarchical Federated Learning with Non-IID Data	2019	Lumin Liu Jun Zhang Shenghui Song Khaled B. Letaief
+	Connectivity-Aware UAV Path Planning with Aerial Coverage Maps	2019	Hongyu Yang Jun Zhang Shenghui Song Khaled B. Lataief
+	An Overview of Attacks and Defences on Intelligent Connected Vehicles	2019	Mahdi Dibaei Xi Zheng Kun Jiang Sasa Maric Hassan Abbas Shigang Liu Yuexin Zhang Yao Deng Sheng Wen Jun Zhang
+	Data-Importance Aware User Scheduling for Communication-Efficient Edge Machine Learning	2019	Dongzhu Liu Guangxu Zhu Jun Zhang Kaibin Huang
+	Client-Edge-Cloud Hierarchical Federated Learning	2019	Lumin Liu Jun Zhang Shenghui Song Khaled B. Letaief
+	The Roadmap to 6G -- AI Empowered Wireless Networks	2019	Khaled B. Letaief Wei Chen Yuanming Shi Jun Zhang Ying–Jun Angela Zhang
+	The Audio Auditor: User-Level Membership Inference in Internet of Things Voice Services	2019	Yuantian Miao Minhui Xue Chao Chen Lei Pan Jun Zhang Benjamin Zi Hao Zhao Mohamed Ali Kâafar Yang Xiang
+ PDF Chat	Power Minimization-Based Joint Task Scheduling and Resource Allocation in Downlink C-RAN	2018	Wenchao Xia Jun Zhang Tony Q. S. Quek Shi Jin Hongbo Zhu
+ PDF Chat	Joint Optimization of Fronthaul Compression and Bandwidth Allocation in Uplink H-CRAN With Large System Analysis	2018	Wenchao Xia Jun Zhang Tony Q. S. Quek Shi Jin Hongbo Zhu
+ PDF Chat	DFT-Based Hybrid Beamforming Multiuser Systems: Rate Analysis and Beam Selection	2018	Yu Han Shi Jin Jun Zhang Jiayi Zhang Kai‐Kit Wong
+	Wireless Data Acquisition for Edge Learning: Data-Importance Aware Retransmission	2018	Dongzhu Liu Guangxu Zhu Jun Zhang Kaibin Huang
+ PDF Chat	Energy-Efficient Downlink Transmission for Multicell Massive DAS With Pilot Contamination	2016	Jun Zuo Jun Zhang Chau Yuen Wei Jiang Wu Luo
+ PDF Chat	Schedule path optimization for adiabatic quantum computing and optimization	2016	Lishan Zeng Jun Zhang Mohan Sarovar
+	PrivTree: A Differentially Private Algorithm for Hierarchical Decompositions	2016	Jun Zhang Xiaokui Xiao Xing Xie
+	High-Dimensional CSI Acquisition in Massive MIMO: Sparsity-Inspired Approaches	2015	Juei-Chin Shen Jun Zhang Kwang‐Cheng Chen Khaled B. Letaief
+	Functional Mechanism: Regression Analysis under Differential Privacy	2012	Jun Zhang Zhenjie Zhang Xiaokui Xiao Yin Yang Marianne Winslett
+	Performance of unknown and arbitrary sparse signal detection using convex programming method with compressive measurements	2011	Chuan Lei Jun Zhang Qiang Gao
+	Improve forecasting accuracy of short-term highway traffic flows by applying robust statistics to combination of forecasts	2011	Zhengling Yang Jinjie Ma Jun Zhang Bingbing Lv Xi Chen
+	Addressing Accuracy Issues in Privacy Preserving Data Mining through Matrix Factorization	2007	Jie Wang Jun Zhang

Common Coauthors

Coauthor	Papers Together
Khaled B. Letaief	17
Yuyi Mao	13
Jiawei Shao	13
Shenghui Song	12
Yuchang Sun	10
Lumin Liu	9
Shi Jin	7
Yang Xiang	6
Hengtao He	5
Jessie Hui Wang	4
Xianghao Yu	4
Tianqu Kang	3
Chao-Kai Wen	3
S. H. Song	3
Minhui Xue	3
Benjamin Zi Hao Zhao	3
Yuantian Miao	3
Wenchao Xia	3
Songze Li	3
Lei Pan	2
Xiaokui Xiao	2
Chao Chen	2
Yuanming Shi	2
Chenglin Zhao	2
Danny H. K. Tsang	2
Hongbo Zhu	2
Chao Chen	2
Dongzhu Liu	2
Tailin Zhou	2
Yang Zhang	2
Bin Li	2
Fangzhao Wu	2
Xinyu Bian	2
Kaibin Huang	2
Shigang Liu	2
Tony Q. S. Quek	2
Shaodan Ma	2
Lei Pan	2
Xinyu Bian	2
Shaoshi Yang	2
Dali Kaafar	2
Ziping Wei	2
Guangxu Zhu	2
Sheng Chen	2
Yu Han	2
Paul Montague	1
Kai‐Kit Wong	1
Gan Zheng	1
Shui Yu	1
Xingyu Zhou	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	A Survey on Mobile Edge Computing: The Communication Perspective	2017	Yuyi Mao Changsheng You Jun Zhang Kaibin Huang Khaled B. Letaief	6
+ PDF Chat	Deep Residual Learning for Image Recognition	2016	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	6
+ PDF Chat	Adaptive Federated Learning in Resource Constrained Edge Computing Systems	2019	Shiqiang Wang Tiffany Tuor Theodoros Salonidis Kin K. Leung Christian Makaya Ting He Kevin Chan	5
+ PDF Chat	Membership Inference Attacks Against Machine Learning Models	2017	Reza Shokri Marco Stronati Congzheng Song Vitaly Shmatikov	5
+ PDF Chat	On Capacity of Large-Scale MIMO Multiple Access Channels with Distributed Sets of Correlated Antennas	2013	Jun Zhang Chao-Kai Wen Shi Jin Xiqi Gao Kai‐Kit Wong	5
+	Federated Learning for Mobile Keyboard Prediction	2018	Andrew Hard Chloé Kiddon Daniel Ramage Françoise Beaufays Hubert Eichner K. Praveen Kumar Rao Rajiv Mathews Sean Augenstein	4
+	Towards Federated Learning at Scale: System Design	2019	Kallista Bonawitz Hubert Eichner Wolfgang Grieskamp Dzmitry Huba Alex Ingerman Vladimir Ivanov Chloé Kiddon Jakub Konečný Stefano Mazzocchi H. Brendan McMahan	4
+ PDF Chat	Client-Edge-Cloud Hierarchical Federated Learning	2020	Lumin Liu Jun Zhang Shenghui Song Khaled B. Letaief	4
+	Federated Learning: Strategies for Improving Communication Efficiency	2016	Jakub Konečný H. Brendan McMahan Felix X. Yu Peter Richtárik Ananda Theertha Suresh Dave Bacon	4
+	When Edge Meets Learning: Adaptive Control for Resource-Constrained Distributed Machine Learning	2018	Shiqiang Wang Tiffany Tuor Theodoros Salonidis Kin K. Leung Christian Makaya Ting He Kevin Chan	4
+ PDF Chat	Massive MIMO for next generation wireless systems	2014	Erik G. Larsson Ove Edfors Fredrik Tufvesson Thomas L. Marzetta	4
+	Optimization Methods for Large-Scale Machine Learning	2018	Léon Bottou Frank E. Curtis Jorge Nocedal	4
+	Communication-Efficient Learning of Deep Networks from Decentralized Data	2016	H. Brendan McMahan Eider Moore Daniel Ramage Seth Hampson Blaise Agüera y Arcas	4
+ PDF Chat	Reconfigurable Intelligent Surfaces for Energy Efficiency in Wireless Communication	2019	Chongwen Huang Alessio Zappone George C. Alexandropoulos Mérouane Debbah Chau Yuen	3
+ PDF Chat	Machine Learning with Membership Privacy using Adversarial Regularization	2018	Milad Nasr Reza Shokri Amir Houmansadr	3
+ PDF Chat	Large System Analysis of Cooperative Multi-Cell Downlink Transmission via Regularized Channel Inversion with Imperfect CSIT	2013	Jun Zhang Chao-Kai Wen Shi Jin Xiqi Gao Kai‐Kit Wong	3
+ PDF Chat	Intelligent Reflecting Surface Versus Decode-and-Forward: How Large Surfaces are Needed to Beat Relaying?	2019	Emil Björnson Özgecan Özdoğan Erik G. Larsson	3
+ PDF Chat	Towards Smart and Reconfigurable Environment: Intelligent Reflecting Surface Aided Wireless Network	2019	Qingqing Wu Rui Zhang	3
+ PDF Chat	Privacy Risks of Securing Machine Learning Models against Adversarial Examples	2019	Liwei Song Reza Shokri Prateek Mittal	3
+	Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms	2017	Xiao Han Kashif Rasul Roland Vollgraf	3
+	ML-Leaks: Model and Data Independent Membership Inference Attacks and Defenses on Machine Learning Models	2019	Ahmed Salem Shuicheng Yan Mathias Humbert Pascal Berrang Mario Fritz Michael Backes	3
+ PDF Chat	Energy and Spectral Efficiency of Very Large Multiuser MIMO Systems	2013	Hien Quoc Ngo Erik G. Larsson Thomas L. Marzetta	3
+ PDF Chat	Privacy Risk in Machine Learning: Analyzing the Connection to Overfitting	2018	Samuel Yeom Irene Giacomelli Matt Fredrikson Somesh Jha	3
+ PDF Chat	Client Selection for Federated Learning with Heterogeneous Resources in Mobile Edge	2019	Takayuki Nishio Ryo Yonetani	3
+ PDF Chat	Securing Voice-Driven Interfaces Against Fake (Cloned) Audio Attacks	2019	Hafiz Malik	2
+	Aequitas: A Bias and Fairness Audit Toolkit.	2018	Pedro Saleiro Benedict Kuester Abby Stevens Ari Anisfeld Loren Hinkson Jesse London Rayid Ghani	2
+ PDF Chat	Machine Learning at the Wireless Edge: Distributed Stochastic Gradient Descent Over-the-Air	2020	Mohammad Mohammadi Amiri Deniz Gündüz	2
+	Can You Trust This Prediction? Auditing Pointwise Reliability After Learning	2019	Peter Schulam Suchi Saria	2
+	Very Deep Convolutional Networks for Large-Scale Image Recognition	2014	Karen Simonyan Andrew Zisserman	2
+	Low-Latency Broadband Analog Aggregation for Federated Edge Learning.	2018	Guangxu Zhu Yong Wang Kaibin Huang	2
+ PDF Chat	Sparse Signal Processing for Grant-Free Massive Connectivity: A Future Paradigm for Random Access Protocols in the Internet of Things	2018	Liang Liu Erik G. Larsson Wei Yu Petar Popovski Čedomir Stefanović Elisabeth de Carvalho	2
+ PDF Chat	LOGAN: Membership Inference Attacks Against Generative Models	2018	Jamie Hayes Luca Melis George Danezis Emiliano De Cristofaro	2
+ PDF Chat	Intelligent Reflecting Surface Enhanced Wireless Network: Joint Active and Passive Beamforming Design	2018	Qingqing Wu Rui Zhang	2
+	Federated Learning with Non-IID Data	2018	Yue Zhao Meng Li Liangzhen Lai Naveen Suda Damon Civin Vikas Chandra	2
+ PDF Chat	Learning to Detect	2019	Neev Samuel Tzvi Diskin Ami Wiesel	2
+ PDF Chat	Spatial Deep Learning for Wireless Scheduling	2019	Wei Cui Kaiming Shen Wei Yu	2
+ PDF Chat	Label-less Learning for Traffic Control in an Edge Network	2018	Min Chen Yixue Hao Kai Lin Zhiyong Yuan Long Hu	2
+ PDF Chat	Comprehensive Privacy Analysis of Deep Learning: Passive and Active White-box Inference Attacks against Centralized and Federated Learning	2019	Milad Nasr Reza Shokri Amir Houmansadr	2
+	QSGD: Communication-Efficient SGD via Gradient Quantization and Encoding	2016	Dan Alistarh Demjan Grubic Jerry Li Ryota Tomioka Milan Vojnović	2
+ PDF Chat	Massive Connectivity With Massive MIMO—Part I: Device Activity Detection and Channel Estimation	2018	Liang Liu Wei Yu	2
+ PDF Chat	Beyond Massive MIMO: The Potential of Data Transmission With Large Intelligent Surfaces	2018	Sha Hu Fredrik Rusek Ove Edfors	2
+ PDF Chat	Rényi Differential Privacy	2017	Ilya Mironov	2
+ PDF Chat	Massive machine-type communications in 5g: physical and MAC-layer solutions	2016	Carsten Bockelmann Nuno K. Pratas Hosein Nikopour Kelvin Au Tommy Svensson Čedomir Stefanović Petar Popovski Armin Dekorsy	2
+ PDF Chat	Alternating Minimization Algorithms for Hybrid Precoding in Millimeter Wave MIMO Systems	2016	Xianghao Yu Juei-Chin Shen Jun Zhang Khaled B. Letaief	2
+	Semidefinite Relaxation of Quadratic Optimization Problems	2010	Zhi‐Quan Luo Wing‐Kin Ma Anthony Man–Cho So Yinyu Ye Shuzhong Zhang	2
+ PDF Chat	Deep Learning with Differential Privacy	2016	Martı́n Abadi Andy Chu Ian Goodfellow H. Brendan McMahan Ilya Mironov Kunal Talwar Li Zhang	2
+	Learning to Optimize: Training Deep Neural Networks for Interference Management	2018	Haoran Sun Xiangyi Chen Qingjiang Shi Mingyi Hong Xiao Fu Nicholas D. Sidiropoulos	2
+	Iterative Deterministic Equivalents for the Performance Analysis of Communication Systems	2011	Jakob Hoydis Romain Couillet Mérouane Debbah	2
+ PDF Chat	Bayesian Optimal Data Detector for Hybrid mmWave MIMO-OFDM Systems With Low-Resolution ADCs	2018	Hengtao He Chao-Kai Wen Shi Jin	2
+ PDF Chat	Heterogeneous cloud radio access networks: a new perspective for enhancing spectral and energy efficiencies	2014	Mugen Peng Yuan Li Jiamo Jiang Jian Li Chonggang Wang	2