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ORCIDJun Zhao 0007
赵俊
Person information
- unicode name: 赵俊
- affiliation: Nanyang Technological University, School of Computer Science and Engineering, Singapore
- affiliation (former): Carnegie Mellon University, Pittsburgh, PA, USA
Other persons with the same name
- Jun Zhao — disambiguation page
- Jun Zhao 0001
![[0000-0003-3370-2263]](https://dblp.org/img/orcid-mark.12x12.png "0000-0003-3370-2263")
— Chinese Academy of Sciences, Institute of Automation, National Laboratory of Pattern Recognition, Beijing, China - Jun Zhao 0002 — Northeastern University, State Key Laboratory of Synthetical Automation for Process Industries, Shenyang, China (and 1 more)
- Jun Zhao 0003 — Oxford University, Department of Computer Science, UK (and 3 more)
- Jun Zhao 0004 — Dalian University of Technology, School of Control Science and Engineering, China
- Jun Zhao 0005 — Lattice Semiconductor (and 1 more)
- Jun Zhao 0006 — University of Minnesota, Institute for Mathematics and its Applications (and 1 more)
- Jun Zhao 0008 — Zhejiang University, State Key Lab of Industrial Control Technolog
- Jun Zhao 0009 — Zhejiang University, Zhejiang Key Laboratory of Service Robots
- Jun Zhao 0010 — Shanghai Jiaotong University, Department of Biomedical Engineering, China
- Jun Zhao 0011 — Shandong University, School of Mechanical Engineering
- Jun Zhao 0012 — Beijing University of Posts and Telecommunications, Beijing Key Laboratory of Network System Architecture and Convergence, China
- Jun Zhao 0013 — Masdar Institute of Science and Technology, Masdar City, UAE
- Jun Zhao 0014 — Northwest Normal University, College of Geography and Environment Sciences, Lanzhou, China
- Jun Zhao 0015 — Kunming University of Science and Technology, Faculty of Mechanical and Electrical Engineering, Kunming, China
- Jun Zhao 0016 (aka: Jun Raymond Zhao) — Jet.com/Walmart Labs, Hoboken, NJ, USA
- Jun Zhao 0017 — Beihang University, School of Computer Science and Engineering, China
- Jun Zhao 0018 — Tongji University, College of Electronic and Information Engineering, Shanghai, China (and 1 more)
- Jun Zhao 0019 — Fudan University, School of Computer Science, Shanghai Key Laboratory of Intelligent Information Processing, China
- Jun Zhao 0020 — University of Hong Kong, Department of Industrial and Manufacturing Systems Engineering, Hong Kong
- Jun Zhao 0021 — Southeast University, School of Electronics Science and Engineering, National and Local Joint Engineering Research Center for Optical Sensing/Communications Integrated Networking, Nanjing, China (and 1 more)
- Jun Zhao 0022 — Union Mobile Financial Technology, Beijing, China
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Journal Articles
- 2026
[j118]Gang Wang, Huiwen Wu, Qingming Li, Ziyao Liu, Jun Zhao, Kwok-Yan Lam, Qingkuan Dong, Yao Yang, Li Zhou:
PDFL: A Privacy-Enhancing and Robust Poisoning Defense Federated Learning Scheme. IEEE Trans. Inf. Forensics Secur. 21: 608-623 (2026)- [j117]Chang Liu, Jun Zhao:
Enhancing Stability and Resource Efficiency in LLM Training for Edge-Assisted Mobile Systems. IEEE Trans. Mob. Comput. 25(1): 1-18 (2026) - [j116]Chang Liu, Jun Zhao, Yitong Wang:
Computation and Communication Resource Optimization for Efficient Hierarchical Federated Learning. IEEE Trans. Netw. 34: 502-517 (2026) - [j115]Chang Liu, Jun Zhao, Terence Jie Chua:
Enhancing User Experience and Energy Efficiency in Metaverse Play to Earn Games via Mobile Edge Computing. IEEE Trans. Veh. Technol. 75(2): 2527-2541 (2026) - [j114]Wenhan Yu, Jun Zhao:
Optimization for 6G Wireless Communications With Heterogeneous VR and Non-VR 360° Videos: A Differentiated Reinforcement Learning Approach. IEEE Trans. Wirel. Commun. 25: 1-15 (2026) - 2025
- [j113]Mohamed R. Shoaib, Heba M. Emara, Jun Zhao, Milad Taleby Ahvanooey, Essam Nabil:
Advanced deep learning approaches for fault detection in solar PV systems: A comparative study of SPDA and AIFD-SolDL. Appl. Soft Comput. 184: 113592 (2025) - [j112]Milad Taleby Ahvanooey, Wojciech Mazurczyk, Jun Zhao, Luca Caviglione, Kim-Kwang Raymond Choo, Max Kilger, Mauro Conti, Rafael Misoczki:
Future of cyberspace: A critical review of standard security protocols in the post-quantum era. Comput. Sci. Rev. 57: 100738 (2025) - [j111]Milad Taleby Ahvanooey, Wojciech Mazurczyk, Zefan Wang, Jun Zhao:
A novel framework for assessing determinant risk factors on cyber (dis)trust behaviors of netizens in deepfakes. Eng. Appl. Artif. Intell. 159: 111319 (2025) - [j110]Guijin Han, Jun Zhao, Yiming Zhou:
Emotion transfer in audio using mel-cepstral representation and CycleGANs. J. King Saud Univ. Comput. Inf. Sci. 37(5) (2025) - [j109]Enze Yu, Haipeng Dai, Haihan Zhang, Zhenzhe Zheng, Jun Zhao, Guihai Chen:
Prototype-Based Collaborative Learning in UAV-Assisted Edge Computing Networks. Softw. Pract. Exp. 55(5): 829-846 (2025) - [j108]Zeeshan Kaleem, Farooq Alam Orakzai, Waqar Ishaq, Kamran Latif, Jun Zhao, Abbas Jamalipour:
Emerging Trends in UAVs: From Placement, Semantic Communications to Generative AI for Mission-Critical Networks. IEEE Trans. Consumer Electron. 71(3): 7412-7438 (2025) - [j107]Jie Feng, Jun Zhao:
Resource Allocation for Augmented Reality Empowered Vehicular Edge Metaverse. IEEE Trans. Commun. 73(3): 1987-2001 (2025) - [j106]Ziyao Liu, Yu Jiang, Weifeng Jiang, Jiale Guo, Jun Zhao, Kwok-Yan Lam:
Guaranteeing Data Privacy in Federated Unlearning With Dynamic User Participation. IEEE Trans. Dependable Secur. Comput. 22(3): 2072-2085 (2025) - [j105]Dewen Qiao, Songtao Guo, Jun Zhao, Junqing Le, Pengzhan Zhou, Mingyan Li, Xuetao Chen:
ASMAFL: Adaptive Staleness-Aware Momentum Asynchronous Federated Learning in Edge Computing. IEEE Trans. Mob. Comput. 24(4): 3390-3406 (2025) - [j104]Haonan Tong, Mingzhe Chen, Jun Zhao, Ye Hu, Zhaohui Yang, Yuchen Liu, Changchuan Yin:
Continual Reinforcement Learning for Digital Twin Synchronization Optimization. IEEE Trans. Mob. Comput. 24(8): 6843-6857 (2025) - [j103]Renyang Liu, Kwok-Yan Lam, Wei Zhou, Sixing Wu, Jun Zhao, Dongting Hu, Mingming Gong:
STBA: Towards Evaluating the Robustness of DNNs for Query-Limited Black-Box Scenario. IEEE Trans. Multim. 27: 2666-2681 (2025) - [j102]Yaolin Yang, Hongjie He, Fan Chen, Yuan Yuan, Ningxiong Mao, Yang Li, Jun Zhao:
Reversible Data Hiding in Encrypted Medical Images Based on Huffman Tree Coding and Count-Encryption. IEEE Trans. Multim. 27: 7419-7431 (2025) - [j101]Dewen Qiao, Liangxin Qian, Songtao Guo, Jun Zhao, Pengzhan Zhou:
AMFL: Resource-Efficient Adaptive Metaverse-Based Federated Learning for the Human-Centric Augmented Reality Applications. IEEE Trans. Neural Networks Learn. Syst. 36(5): 7888-7902 (2025) - [j100]Gang He, Yanli Ren, Jun Zhao, Guorui Feng, Xinpeng Zhang:
EPCNN: Efficient and Practical Privacy-Preserving Convolutional Neural Network Inference. IEEE Trans. Netw. Sci. Eng. 12(3): 1567-1580 (2025) - [j99]Tinghao Zhang, Kwok-Yan Lam, Jun Zhao, Jie Feng:
Joint Device Scheduling and Bandwidth Allocation for Federated Learning Over Wireless Networks. IEEE Trans. Wirel. Commun. 24(1): 3-18 (2025) - [j98]Liangxin Qian, Chang Liu, Jun Zhao:
User Connection and Resource Allocation Optimization in Blockchain Empowered Metaverse Over 6G Wireless Communications. IEEE Trans. Wirel. Commun. 24(1): 19-34 (2025) - [j97]Peiyuan Si, Renyang Liu, Liangxin Qian, Jun Zhao, Kwok-Yan Lam:
Post-Deployment Fine-Tunable Semantic Communication. IEEE Trans. Wirel. Commun. 24(1): 35-50 (2025) - [j96]Heng Dong, Xiaojie Fang, Jun Zhao, Xuejun Sha, Zhuoming Li:
Signal Domain Multicomponent-Based Secure Hybrid Precoding for mmWave Systems. IEEE Trans. Wirel. Commun. 24(1): 51-67 (2025) - [j95]Terence Jie Chua, Wenhan Yu, Jun Zhao:
Play to Earn in Augmented Reality With Mobile Edge Computing Over Wireless Networks: A Deep Reinforcement Learning Approach. IEEE Trans. Wirel. Commun. 24(1): 68-83 (2025) - [j94]Yang Li, Xinyu Zhou, Jun Zhao:
Resource Allocation for the Training of Image Semantic Communication Networks. IEEE Trans. Wirel. Commun. 24(4): 2968-2984 (2025) - [j93]Xinyu Zhou, Chang Liu, Jun Zhao:
Resource Allocation of Federated Learning for the Metaverse With Mobile Augmented Reality. IEEE Trans. Wirel. Commun. 24(8): 6290-6305 (2025) - [j92]Terence Jie Chua, Wenhan Yu, Jun Zhao:
Mobile Edge Adversarial Detection for Digital Twinning to the Metaverse: A Deep Reinforcement Learning Approach. IEEE Trans. Wirel. Commun. 24(8): 6306-6320 (2025) - 2024
- [j91]Mohamed R. Shoaib, Heba M. Emara, Jun Zhao, Walid El-Shafai, Naglaa F. Soliman, Ahmed S. Mubarak, Osama A. Omer, Fathi E. Abd El-Samie, Hamada Esmaiel:
Deep learning innovations in diagnosing diabetic retinopathy: The potential of transfer learning and the DiaCNN model. Comput. Biol. Medicine 169: 107834 (2024) - [j90]Mengmeng Yang, Taolin Guo, Tianqing Zhu, Ivan Tjuawinata, Jun Zhao, Kwok-Yan Lam:
Local differential privacy and its applications: A comprehensive survey. Comput. Stand. Interfaces 89: 103827 (2024) - [j89]Heng Dong, Xiaojie Fang, Jun Zhao, Xu Lin, Xuejun Sha, Zhuoming Li:
Secure Communication for RSMA Systems: Integrating Spatial and WFRFT Signal Domains. IEEE Commun. Lett. 28(11): 2498-2502 (2024) - [j88]Tinghao Zhang, Kwok-Yan Lam, Jun Zhao:
Device Scheduling and Assignment in Hierarchical Federated Learning for Internet of Things. IEEE Internet Things J. 11(10): 18449-18462 (2024) - [j87]Jun Zhao, Liangxin Qian, Wenhan Yu:
Human-Centric Resource Allocation in the Metaverse Over Wireless Communications. IEEE J. Sel. Areas Commun. 42(3): 514-537 (2024) - [j86]Renyang Liu, Jun Zhao, Xing Chu, Yu Liang, Wei Zhou, Jing He:
Can LSH (locality-sensitive hashing) be replaced by neural network? Soft Comput. 28(2): 1041-1053 (2024) - [j85]Renyang Liu, Wei Zhou, Tianwei Zhang, Kangjie Chen, Jun Zhao, Kwok-Yan Lam:
Boosting Black-Box Attack to Deep Neural Networks With Conditional Diffusion Models. IEEE Trans. Inf. Forensics Secur. 19: 5207-5219 (2024) - [j84]Guanjie Cheng, Junqin Huang, Yewei Wang, Jun Zhao, Linghe Kong, Shuiguang Deng, Xueqiang Yan:
Conditional Privacy-Preserving Multi-Domain Authentication and Pseudonym Management for 6G-Enabled IoV. IEEE Trans. Inf. Forensics Secur. 19: 10206-10220 (2024) - [j83]Lingjuan Lyu, Han Yu, Xingjun Ma, Chen Chen, Lichao Sun, Jun Zhao, Qiang Yang, Philip S. Yu:
Privacy and Robustness in Federated Learning: Attacks and Defenses. IEEE Trans. Neural Networks Learn. Syst. 35(7): 8726-8746 (2024) - [j82]Dewen Qiao, Mingyan Li, Songtao Guo, Jun Zhao, Bin Xiao:
Resources-Efficient Adaptive Federated Learning for Digital Twin-Enabled IIoT. IEEE Trans. Netw. Sci. Eng. 11(4): 3639-3652 (2024) - 2023
- [j81]Tinghao Zhang, Kwok-Yan Lam, Jun Zhao:
Deep reinforcement learning based scheduling strategy for federated learning in sensor-cloud systems. Future Gener. Comput. Syst. 144: 219-229 (2023) - [j80]Yang Zhao, Jun Zhao, Linshan Jiang, Rui Tan, Dusit Niyato, Zengxiang Li, Lingjuan Lyu, Yingbo Liu:
Correction to "Privacy-Preserving Blockchain-Based Federated Learning for IoT Devices". IEEE Internet Things J. 10(1): 973 (2023) - [j79]Huimei Han, Jun Zhao, Xinyu Zhou:
A Random Access Scheme for Federated Learning Over Massive MIMO Systems. IEEE Internet Things J. 10(21): 19027-19042 (2023) - [j78]Huaqiang Xu, Shuai Gu, Yu-Cheng Fan, Xiao-Shuang Li, Yue-Feng Zhao, Jun Zhao, Jing-Jing Wang:
A strategy learning framework for particle swarm optimization algorithm. Inf. Sci. 619: 126-152 (2023) - [j77]Wenhan Yu, Terence Jie Chua, Jun Zhao:
Asynchronous Hybrid Reinforcement Learning for Latency and Reliability Optimization in the Metaverse Over Wireless Communications. IEEE J. Sel. Areas Commun. 41(7): 2138-2157 (2023) - [j76]Peiyuan Si, Liangxin Qian, Jun Zhao, Kwok-Yan Lam:
A Hybrid Framework of Reinforcement Learning and Convex Optimization for UAV-Based Autonomous Metaverse Data Collection. IEEE Netw. 37(4): 248-254 (2023) - [j75]Yuyan Zhou, Yang Liu, Qingqing Wu, Qingjiang Shi, Jun Zhao, Yang Zhao:
Queueing Aware Power Minimization for Wireless Communication Aided by Double-Faced Active RIS. IEEE Trans. Commun. 71(10): 5799-5813 (2023) - [j74]Mengmeng Yang, Ivan Tjuawinata, Kwok-Yan Lam, Tianqing Zhu, Jun Zhao:
Differentially Private Distributed Frequency Estimation. IEEE Trans. Dependable Secur. Comput. 20(5): 3910-3926 (2023) - [j73]Ziyao Liu, Jiale Guo, Kwok-Yan Lam, Jun Zhao:
Efficient Dropout-Resilient Aggregation for Privacy-Preserving Machine Learning. IEEE Trans. Inf. Forensics Secur. 18: 1839-1854 (2023) - [j72]Tinghao Zhang, Kwok-Yan Lam, Jun Zhao, Feng Li, Huimei Han, Norziana Jamil:
Enhancing Federated Learning With Spectrum Allocation Optimization and Device Selection. IEEE/ACM Trans. Netw. 31(5): 1981-1996 (2023) - [j71]Wanting Lyu, Yue Xiu, Jun Zhao, Zhongpei Zhang:
Optimizing the Age of Information in RIS-Aided SWIPT Networks. IEEE Trans. Veh. Technol. 72(2): 2615-2619 (2023) - [j70]Huizi Xiao, Jun Zhao, Jie Feng, Lei Liu, Qingqi Pei, Weisong Shi:
Joint Optimization of Security Strength and Resource Allocation for Computation Offloading in Vehicular Edge Computing. IEEE Trans. Wirel. Commun. 22(12): 8751-8765 (2023) - 2022
- [j69]Donghaisheng Liu, Shoudong Han, Yang Chen, Chenfei Xia, Jun Zhao:
Foreground-guided textural-focused person re-identification. Neurocomputing 483: 235-248 (2022) - [j68]Wei Sun, Qingyang Song, Jun Zhao, Lei Guo, Abbas Jamalipour:
Adaptive Resource Allocation in SWIPT-Enabled Cognitive IoT Networks. IEEE Internet Things J. 9(1): 535-545 (2022) - [j67]Thippa Reddy Gadekallu, Quoc-Viet Pham, Dinh C. Nguyen, Praveen Kumar Reddy Maddikunta, Natarajan Deepa, B. Prabadevi, Pubudu N. Pathirana, Jun Zhao, Won-Joo Hwang:
Blockchain for Edge of Things: Applications, Opportunities, and Challenges. IEEE Internet Things J. 9(2): 964-988 (2022) - [j66]Tao Bai, Jun Zhao, Jinlin Zhu, Shoudong Han, Jiefeng Chen, Bo Li, Alex ChiChung Kot:
Toward Efficiently Evaluating the Robustness of Deep Neural Networks in IoT Systems: A GAN-Based Method. IEEE Internet Things J. 9(3): 1875-1884 (2022) - [j65]Jianhang Tang, Jiangtian Nie, Zehui Xiong, Jun Zhao, Yang Zhang, Dusit Niyato:
Slicing-Based Reliable Resource Orchestration for Secure Software-Defined Edge-Cloud Computing Systems. IEEE Internet Things J. 9(4): 2637-2648 (2022) - [j64]Huimei Han, Lushun Fang, Weidang Lu, Wenchao Zhai, Ying Li, Jun Zhao:
A GCICA Grant-Free Random Access Scheme for M2M Communications in Crowded Massive MIMO Systems. IEEE Internet Things J. 9(8): 6032-6046 (2022) - [j63]Tao Bai, Jinqi Luo, Jun Zhao:
Inconspicuous Adversarial Patches for Fooling Image-Recognition Systems on Mobile Devices. IEEE Internet Things J. 9(12): 9515-9524 (2022) - [j62]Ziqing Yang, Shoudong Han, Jun Zhao:
Poisson kernel: Avoiding self-smoothing in graph convolutional networks. Pattern Recognit. 124: 108443 (2022) - [j61]Jun Zhao:
On Secure Communication in Sensor Networks Under q-Composite Key Predistribution With Unreliable Links. IEEE Trans. Commun. 70(2): 1085-1095 (2022) - [j60]Xiaolun Jia, Xiangyun Zhou, Dusit Niyato, Jun Zhao:
Intelligent Reflecting Surface-Assisted Bistatic Backscatter Networks: Joint Beamforming and Reflection Design. IEEE Trans. Green Commun. Netw. 6(2): 799-814 (2022) - [j59]Huizi Xiao, Jun Zhao, Qingqi Pei, Jie Feng, Lei Liu, Weisong Shi:
Vehicle Selection and Resource Optimization for Federated Learning in Vehicular Edge Computing. IEEE Trans. Intell. Transp. Syst. 23(8): 11073-11087 (2022) - [j58]Mengmeng Yang, Ivan Tjuawinata, Kwok-Yan Lam, Jun Zhao, Lin Sun:
Secure Hot Path Crowdsourcing With Local Differential Privacy Under Fog Computing Architecture. IEEE Trans. Serv. Comput. 15(4): 2188-2201 (2022) - [j57]Sun Mao, Lei Liu, Ning Zhang, Mianxiong Dong, Jun Zhao, Jinsong Wu, Victor C. M. Leung:
Reconfigurable Intelligent Surface-Assisted Secure Mobile Edge Computing Networks. IEEE Trans. Veh. Technol. 71(6): 6647-6660 (2022) - [j56]Weiheng Jiang, Yu Zhang, Jun Zhao, Zehui Xiong, Zhiguo Ding:
Joint Transmit Precoding and Reflect Beamforming Design for IRS-Assisted MIMO Cognitive Radio Systems. IEEE Trans. Wirel. Commun. 21(6): 3617-3631 (2022) - [j55]Helin Yang, Jun Zhao, Kwok-Yan Lam, Zehui Xiong, Qingqing Wu, Liang Xiao:
Distributed Deep Reinforcement Learning-Based Spectrum and Power Allocation for Heterogeneous Networks. IEEE Trans. Wirel. Commun. 21(9): 6935-6948 (2022) - [j54]Yang Liu, Qingjiang Shi, Qingqing Wu, Jun Zhao, Ming Li:
Joint Node Activation, Beamforming and Phase-Shifting Control in IoT Sensor Network Assisted by Reconfigurable Intelligent Surface. IEEE Trans. Wirel. Commun. 21(11): 9325-9340 (2022) - [j53]Jianhang Tang, Jiangtian Nie, Jun Zhao, Yi Zhou, Zehui Xiong, Mohsen Guizani:
Slicing-Based Software-Defined Mobile Edge Computing in the Air. IEEE Wirel. Commun. 29(1): 119-125 (2022) - [j52]Ali Hussain Khan, Naveed Ul Hassan, Chau Yuen, Jun Zhao, Dusit Niyato, Yan Zhang, H. Vincent Poor:
Blockchain and 6G: The Future of Secure and Ubiquitous Communication. IEEE Wirel. Commun. 29(1): 194-201 (2022) - 2021
- [j51]Yue Xiu, Jun Zhao, Chau Yuen, Zhongpei Zhang, Guan Gui:
Secure Beamforming for Multiple Intelligent Reflecting Surfaces Aided mmWave Systems. IEEE Commun. Lett. 25(2): 417-421 (2021) - [j50]Yue Xiu, Jun Zhao, Wei Sun, Zhongpei Zhang:
Secrecy Rate Maximization for Reconfigurable Intelligent Surface Aided Millimeter Wave System With Low-Resolution DACs. IEEE Commun. Lett. 25(7): 2166-2170 (2021) - [j49]Huimei Han, Wenchao Zhai, Ying Li, Weidang Lu, Jun Zhao:
A novel random access scheme for M2M communication in crowded asynchronous massive MIMO systems. IET Commun. 15(12): 1597-1605 (2021) - [j48]Teng Wang, Jun Zhao, Zhi Hu, Xinyu Yang, Xuebin Ren, Kwok-Yan Lam:
Local Differential Privacy for data collection and analysis. Neurocomputing 426: 114-133 (2021) - [j47]Xiaoli Wang, Zhiyong Zhang, Lei Yang, Jun Zhao:
Price and capacity decisions in a telemedicine service system under government subsidy policy. Int. J. Prod. Res. 59(17): 5130-5143 (2021) - [j46]Muhammad Baqer Mollah, Jun Zhao, Dusit Niyato, Kwok-Yan Lam, Xin Zhang, Amer M. Y. M. Ghias, Leong Hai Koh, Lei Yang:
Blockchain for Future Smart Grid: A Comprehensive Survey. IEEE Internet Things J. 8(1): 18-43 (2021) - [j45]Yang Zhao, Jun Zhao, Linshan Jiang, Rui Tan, Dusit Niyato, Zengxiang Li, Lingjuan Lyu, Yingbo Liu:
Privacy-Preserving Blockchain-Based Federated Learning for IoT Devices. IEEE Internet Things J. 8(3): 1817-1829 (2021) - [j44]Xuebin Ren, Chia-Mu Yu, Wei Yu, Xinyu Yang, Jun Zhao, Shusen Yang:
DPCrowd: Privacy-Preserving and Communication-Efficient Decentralized Statistical Estimation for Real-Time Crowdsourced Data. IEEE Internet Things J. 8(4): 2775-2791 (2021) - [j43]Muhammad Baqer Mollah, Jun Zhao, Dusit Niyato, Yong Liang Guan, Chau Yuen, Sumei Sun, Kwok-Yan Lam, Leong Hai Koh:
Blockchain for the Internet of Vehicles Towards Intelligent Transportation Systems: A Survey. IEEE Internet Things J. 8(6): 4157-4185 (2021) - [j42]Yang Zhao, Jun Zhao, Mengmeng Yang, Teng Wang, Ning Wang, Lingjuan Lyu, Dusit Niyato, Kwok-Yan Lam:
Local Differential Privacy-Based Federated Learning for Internet of Things. IEEE Internet Things J. 8(11): 8836-8853 (2021) - [j41]Yang Zhao, Jun Zhao, Jiawen Kang, Zehang Zhang, Dusit Niyato, Shuyu Shi, Kwok-Yan Lam:
A Blockchain-Based Approach for Saving and Tracking Differential-Privacy Cost. IEEE Internet Things J. 8(11): 8865-8882 (2021) - [j40]Ergute Bao, Xiaokui Xiao, Jun Zhao, Dongping Zhang, Bolin Ding:
Synthetic Data Generation with Differential Privacy via Bayesian Networks. J. Priv. Confidentiality 11(3) (2021) - [j39]Helin Yang, Jun Zhao, Zehui Xiong, Kwok-Yan Lam, Sumei Sun, Liang Xiao:
Privacy-Preserving Federated Learning for UAV-Enabled Networks: Learning-Based Joint Scheduling and Resource Management. IEEE J. Sel. Areas Commun. 39(10): 3144-3159 (2021) - [j38]Xin Liu, Kwok-Yan Lam, Feng Li, Jun Zhao, Li Wang, Tariq S. Durrani:
Spectrum Sharing for 6G Integrated Satellite-Terrestrial Communication Networks Based on NOMA and CR. IEEE Netw. 35(4): 28-34 (2021) - [j37]Ge Song, Xiaoyang Tan, Jun Zhao, Ming Yang:
Deep robust multilevel semantic hashing for multi-label cross-modal retrieval. Pattern Recognit. 120: 108084 (2021) - [j36]Meng Hua, Qingqing Wu, Derrick Wing Kwan Ng, Jun Zhao, Luxi Yang:
Intelligent Reflecting Surface-Aided Joint Processing Coordinated Multipoint Transmission. IEEE Trans. Commun. 69(3): 1650-1665 (2021) - [j35]Yang Liu, Jun Zhao, Ming Li, Qingqing Wu:
Intelligent Reflecting Surface Aided MISO Uplink Communication Network: Feasibility and Power Minimization for Perfect and Imperfect CSI. IEEE Trans. Commun. 69(3): 1975-1989 (2021) - [j34]Yulan Gao, Chao Yong, Zehui Xiong, Jun Zhao, Yue Xiao, Dusit Niyato:
Reflection Resource Management for Intelligent Reflecting Surface Aided Wireless Networks. IEEE Trans. Commun. 69(10): 6971-6986 (2021) - [j33]Huimei Han, Jun Zhao, Wenchao Zhai, Zehui Xiong, Dusit Niyato, Marco Di Renzo, Quoc-Viet Pham, Weidang Lu, Kwok-Yan Lam:
Reconfigurable Intelligent Surface Aided Power Control for Physical-Layer Broadcasting. IEEE Trans. Commun. 69(11): 7821-7836 (2021) - [j32]Cong Wang, Witold Pedrycz, ZhiWu Li, MengChu Zhou, Jun Zhao:
Residual-Sparse Fuzzy C-Means Clustering Incorporating Morphological Reconstruction and Wavelet Frame. IEEE Trans. Fuzzy Syst. 29(12): 3910-3924 (2021) - [j31]Hangyu Tian, Kaiping Xue, Xinyi Luo, Shaohua Li, Jie Xu, Jianqing Liu, Jun Zhao, David S. L. Wei:
Enabling Cross-Chain Transactions: A Decentralized Cryptocurrency Exchange Protocol. IEEE Trans. Inf. Forensics Secur. 16: 3928-3941 (2021) - [j30]Zehui Xiong, Jun Zhao, Yang Zhang, Dusit Niyato, Junshan Zhang:
Contract Design in Hierarchical Game for Sponsored Content Service Market. IEEE Trans. Mob. Comput. 20(9): 2763-2778 (2021) - [j29]Deyou Zhang, Jun Zhao, Ang Li, Jun Li, Branka Vucetic, Yonghui Li:
Mobile User Trajectory Tracking for IRS Enabled Wireless Networks. IEEE Trans. Veh. Technol. 70(8): 8331-8336 (2021) - [j28]Weiheng Jiang, Bolin Chen, Jun Zhao, Zehui Xiong, Zhiguo Ding:
Joint Active and Passive Beamforming Design for the IRS-Assisted MIMOME-OFDM Secure Communications. IEEE Trans. Veh. Technol. 70(10): 10369-10381 (2021) - [j27]Huimei Han, Lushun Fang, Weidang Lu, Kaikai Chi, Wenchao Zhai, Jun Zhao:
A Novel Grant-Based Pilot Access Scheme for Crowded Massive MIMO Systems. IEEE Trans. Veh. Technol. 70(10): 11111-11115 (2021) - [j26]Helin Yang, Zehui Xiong, Jun Zhao, Dusit Niyato, Liang Xiao, Qingqing Wu:
Deep Reinforcement Learning-Based Intelligent Reflecting Surface for Secure Wireless Communications. IEEE Trans. Wirel. Commun. 20(1): 375-388 (2021) - [j25]Helin Yang, Zehui Xiong, Jun Zhao, Dusit Niyato, Qingqing Wu, H. Vincent Poor, Massimo Tornatore:
Intelligent Reflecting Surface Assisted Anti-Jamming Communications: A Fast Reinforcement Learning Approach. IEEE Trans. Wirel. Commun. 20(3): 1963-1974 (2021) - [j24]Helin Yang, Zehui Xiong, Jun Zhao, Dusit Niyato, Chau Yuen, Ruilong Deng:
Deep Reinforcement Learning Based Massive Access Management for Ultra-Reliable Low-Latency Communications. IEEE Trans. Wirel. Commun. 20(5): 2977-2990 (2021) - [j23]Yue Xiu, Jun Zhao, Wei Sun, Marco Di Renzo, Guan Gui, Zhongpei Zhang, Ning Wei:
Reconfigurable Intelligent Surfaces Aided mmWave NOMA: Joint Power Allocation, Phase Shifts, and Hybrid Beamforming Optimization. IEEE Trans. Wirel. Commun. 20(12): 8393-8409 (2021) - [j22]Yue Xiu, Jun Zhao, Ertugrul Basar, Marco Di Renzo, Wei Sun, Guan Gui, Ning Wei:
Uplink Achievable Rate Maximization for Reconfigurable Intelligent Surface Aided Millimeter Wave Systems With Resolution-Adaptive ADCs. IEEE Wirel. Commun. Lett. 10(8): 1608-1612 (2021) - 2020
- [j21]Kentaroh Toyoda, Jun Zhao, Allan NengSheng Zhang, P. Takis Mathiopoulos:
Blockchain-Enabled Federated Learning With Mechanism Design. IEEE Access 8: 219744-219756 (2020) - [j20]Quoc-Viet Pham, Thien Huynh-The, Mamoun Alazab, Jun Zhao, Won-Joo Hwang:
Sum-Rate Maximization for UAV-Assisted Visible Light Communications Using NOMA: Swarm Intelligence Meets Machine Learning. IEEE Internet Things J. 7(10): 10375-10387 (2020) - [j19]Xi Xiong, Fei Xiong, Jun Zhao, Shaojie Qiao, Yuanyuan Li, Ying Zhao:
Dynamic discovery of favorite locations in spatio-temporal social networks. Inf. Process. Manag. 57(6): 102337 (2020) - [j18]Helin Yang, Arokiaswami Alphones, Zehui Xiong, Dusit Niyato, Jun Zhao, Kaishun Wu:
Artificial-Intelligence-Enabled Intelligent 6G Networks. IEEE Netw. 34(6): 272-280 (2020) - [j17]Zehui Xiong, Jun Zhao, Dusit Niyato, Ruilong Deng, Junshan Zhang:
Reward Optimization for Content Providers With Mobile Data Subsidization: A Hierarchical Game Approach. IEEE Trans. Netw. Sci. Eng. 7(4): 2363-2377 (2020) - 2019
- [j16]Binbin Huang, Zhongjin Li, Peng Tang, Shangguang Wang, Jun Zhao, Haiyang Hu, Wanqing Li, Victor I. Chang:
Security modeling and efficient computation offloading for service workflow in mobile edge computing. Future Gener. Comput. Syst. 97: 755-774 (2019) - [j15]Jiawen Kang, Zehui Xiong, Dusit Niyato, Dongdong Ye, Dong In Kim, Jun Zhao:
Toward Secure Blockchain-Enabled Internet of Vehicles: Optimizing Consensus Management Using Reputation and Contract Theory. IEEE Trans. Veh. Technol. 68(3): 2906-2920 (2019) - 2018
- [j14]Jun Zhao:
Analyzing Connectivity of Heterogeneous Secure Sensor Networks. IEEE Trans. Control. Netw. Syst. 5(1): 618-628 (2018) - [j13]Jun Zhao:
Transitional Behavior of q-Composite Random Key Graphs With Applications to Networked Control. IEEE Trans. Control. Netw. Syst. 5(4): 1741-1751 (2018) - [j12]Songjun Ma, Ge Chen, Luoyi Fu, Weijie Wu, Xiaohua Tian, Jun Zhao, Xinbing Wang:
Seeking powerful information initial spreaders in online social networks: a dense group perspective. Wirel. Networks 24(8): 2973-2991 (2018) - 2017
- [j11]Jun Zhao, Osman Yagan, Virgil D. Gligor:
On Connectivity and Robustness in Random Intersection Graphs. IEEE Trans. Autom. Control. 62(5): 2121-2136 (2017) - [j10]Jun Zhao:
On Resilience and Connectivity of Secure Wireless Sensor Networks Under Node Capture Attacks. IEEE Trans. Inf. Forensics Secur. 12(3): 557-571 (2017) - [j9]Faruk Yavuz, Jun Zhao, Osman Yagan, Virgil D. Gligor:
k-Connectivity in Random K-Out Graphs Intersecting Erdős-Rényi Graphs. IEEE Trans. Inf. Theory 63(3): 1677-1692 (2017) - [j8]Jun Zhao:
Probabilistic Key Predistribution in Mobile Networks Resilient to Node-Capture Attacks. IEEE Trans. Inf. Theory 63(10): 6714-6734 (2017) - [j7]Jun Zhao:
Topological Properties of Secure Wireless Sensor Networks Under the q-Composite Key Predistribution Scheme With Unreliable Links. IEEE/ACM Trans. Netw. 25(3): 1789-1802 (2017) - [j6]Jun Zhao:
Analyzing Resilience of Interest-Based Social Networks Against Node and Link Failures. IEEE Trans. Signal Inf. Process. over Networks 3(2): 252-267 (2017) - [j5]Jun Zhao, Junshan Zhang:
Preserving Privacy Enables "Coexistence Equilibrium" of Competitive Diffusion in Social Networks. IEEE Trans. Signal Inf. Process. over Networks 3(2): 282-297 (2017) - [j4]Xiaoying Liu, Kechen Zheng, Jun Zhao, Xiao-Yang Liu, Xinbing Wang, Xin Di:
Information-Centric Networks With Correlated Mobility. IEEE Trans. Veh. Technol. 66(5): 4256-4270 (2017) - 2015
- [j3]Jun Zhao, Osman Yagan, Virgil D. Gligor:
k-Connectivity in Random Key Graphs With Unreliable Links. IEEE Trans. Inf. Theory 61(7): 3810-3836 (2015) - [j2]Faruk Yavuz, Jun Zhao, Osman Yagan, Virgil D. Gligor:
Toward k-Connectivity of the Random Graph Induced by a Pairwise Key Predistribution Scheme With Unreliable Links. IEEE Trans. Inf. Theory 61(11): 6251-6271 (2015) - 2012
- [j1]Lei Guo, Lincong Zhang, Yuhuai Peng, Jingjing Wu, Xiao-Ying Zhang, Weigang Hou, Jun Zhao:
Multi-path routing in Spatial Wireless Ad Hoc networks. Comput. Electr. Eng. 38(3): 473-491 (2012)
Conference and Workshop Papers
- 2025
- [c118]Lin Tan, Pengzhan Zhou, Songtao Guo, Jun Zhao, Zhufang Kuang, Dewen Qiao, Lu Yang:
Partitioned Collaborative Inference for On-Device Models via Evolutionary Reinforcement Learning. ICDCS 2025: 714-724 - [c117]Liangxin Qian, Yang Li, Jun Zhao:
QuHE: Optimizing Utility-Cost in Quantum Key Distribution and Homomorphic Encryption Enabled Secure Edge Computing Networks. ICDCS 2025: 813-823 - [c116]Mohamed R. Shoaib, Jun Zhao:
Smart Dry Bean Classification: Unleashing AI-Powered Image Analysis for Superior Precision. VTC2025-Spring 2025: 1-6 - [c115]Mohamed R. Shoaib, Jun Zhao:
Advanced Anomaly Detection in PV Solar Cells: Leveraging Vision Transformers (ViT) and Machine Learning for Enhanced Fault Diagnosis. VTC2025-Fall 2025: 1-5 - 2024
- [c114]Peiyuan Si, Renyang Liu, Liangxin Qian, Jun Zhao, Kwok-Yan Lam:
Fine-Tunable Semantic Communication for Image Transmission. BigCom 2024: 284-290 - [c113]Renyang Liu, Wei Zhou, Sixing Wu, Jun Zhao, Kwok-Yan Lam:
SSTA: Salient Spatially Transformed Attack. ICASSP 2024: 5910-5914 - [c112]Wenhan Yu, Liangxin Qian, Terence Jie Chua, Jun Zhao:
Counterfactual Reward Estimation for Credit Assignment in Multi-agent Deep Reinforcement Learning over Wireless Video Transmission. ICDCS 2024: 1177-1189 - [c111]Chang Liu, Terence Jie Chua, Jun Zhao:
Optimization for the Metaverse over Mobile Edge Computing with Play to Earn. INFOCOM 2024: 2269-2278 - [c110]Chang Liu, Jun Zhao:
Resource Allocation for Stable LLM Training in Mobile Edge Computing. MobiHoc 2024: 81-90 - [c109]Zefan Wang, Yitong Wang, Jun Zhao:
Resource Allocation and Secure Wireless Communication in the Large Model based Mobile Edge Computing System. MobiHoc 2024: 111-120 - [c108]Liangxin Qian, Jun Zhao:
Data Processing Efficiency Aware User Association and Resource Allocation in Blockchain Enabled Metaverse over Wireless Communications. MobiHoc 2024: 201-210 - [c107]Chang Liu, Jun Zhao:
Resource Allocation in Large Language Model Integrated 6G Vehicular Networks. VTC Spring 2024: 1-6 - [c106]Liangxin Qian, Jun Zhao:
User Association and Resource Allocation in Large Language Model Based Mobile Edge Computing System over 6G Wireless Communications. VTC Spring 2024: 1-7 - [c105]Mohamed R. Shoaib, Zefan Wang, Jun Zhao:
The Convergence of Artificial Intelligence Foundation Models and 6G Wireless Communication Networks. VTC Spring 2024: 1-5 - [c104]Yitong Wang, Chang Liu, Jun Zhao:
Offloading and Quality Control for AI Generated Content Services in 6G Mobile Edge Computing Networks. VTC Spring 2024: 1-7 - [c103]Wenhan Yu, Terence Jie Chua, Jun Zhao:
Orchestration of Emulator Assisted 6G Mobile Edge Tuning for AI Foundation Models: A Multi-Agent Deep Reinforcement Learning Approach. VTC Spring 2024: 1-6 - 2023
- [c102]Yidong Lu, Jun Zhao:
Reconfigurable Intelligent Surface aided Wireless Powered Mobile Edge Computing. CCNC 2023: 501-507 - [c101]Yang Li, Xinyu Zhou, Jun Zhao:
Resource Allocation for Semantic Communication Under Physical-layer Security. GLOBECOM 2023: 2063-2068 - [c100]Wenhan Yu, Jun Zhao:
Heterogeneous 360 Degree Videos in Metaverse: Differentiated Reinforcement Learning Approaches. GLOBECOM 2023: 3336-3341 - [c99]Peiyuan Si, Jun Zhao, Kwok-Yan Lam, Qing Yang:
UAV-Assisted Semantic Communication with Hybrid Action Reinforcement Learning. GLOBECOM 2023: 3801-3806 - [c98]Haonan Tong, Sihua Wang, Zhaohui Yang, Jun Zhao, Mehdi Bennis, Changchuan Yin:
Semantic-Aware Remote State Estimation in Digital Twin with Minimizing Age of Incorrect Information. GLOBECOM 2023: 4534-4539 - [c97]Tianming Lan, Jun Zhao:
Optimization in Mobile Augmented Reality Systems for the Metaverse Over Wireless Communications. GLOBECOM 2023: 5439-5444 - [c96]Tao Bai, Chen Chen, Lingjuan Lyu, Jun Zhao, Bihan Wen:
Towards Adversarially Robust Continual Learning. ICASSP 2023: 1-5 - [c95]Terence Jie Chua, Wenhan Yu, Jun Zhao:
Mobile Edge Adversarial Detection for Digital Twinning to the Metaverse with Deep Reinforcement Learning. ICC 2023: 316-322 - [c94]Xinyu Zhou, Yang Li, Jun Zhao:
Resource Allocation of Federated Learning Assisted Mobile Augmented Reality System in the Metaverse. ICC 2023: 2528-2534 - [c93]Yuyan Zhou, Yang Liu, Qingqing Wu, Qingjiang Shi, Jun Zhao:
Traffic Aware Power Saving Communication Assisted By Double-Faced Active RIS. ICC 2023: 2716-2721 - [c92]Wenhan Yu, Terence Jie Chua, Jun Zhao:
Virtual Reality in Metaverse Over Wireless Networks with User-Centered Deep Reinforcement Learning. ICC 2023: 6639-6644 - [c91]Mohamed R. Shoaib, Heba M. Emara, Jun Zhao:
A Survey on the Applications of Frontier AI, Foundation Models, and Large Language Models to Intelligent Transportation Systems. ICCA 2023: 1-7 - [c90]Mohamed R. Shoaib, Zefan Wang, Milad Taleby Ahvanooey, Jun Zhao:
Deepfakes, Misinformation, and Disinformation in the Era of Frontier AI, Generative AI, and Large AI Models. ICCA 2023: 1-7 - [c89]Wenhan Yu, Jun Zhao:
Quantum Multi-Agent Reinforcement Learning as an Emerging AI Technology: A Survey and Future Directions. ICCA 2023: 1-7 - [c88]Zefan Wang, Jun Zhao:
Utility-Oriented Communications for 6G Mobile Networks and the Metaverse: Semantic, Task-Oriented, Goal-Oriented, and More. ICDCS 2023: 1-2 - [c87]Wenhan Yu, Jun Zhao:
Semantic Communications, Semantic Edge Computing, and Semantic Caching with Applications to the Metaverse and 6G Mobile Networks. ICDCS 2023: 983-984 - [c86]Renyang Liu, Jinhong Zhang, Kwok-Yan Lam, Jun Zhao, Wei Zhou:
SCME: A Self-contrastive Method for Data-Free and Query-Limited Model Extraction Attack. ICONIP (5) 2023: 370-382 - [c85]Wenhan Yu, Terence Jie Chua, Jun Zhao:
Multi-Agent Deep Reinforcement Learning for Digital Twin over 6G Wireless Communication in the Metaverse. INFOCOM Workshops 2023: 1-6 - [c84]Jun Zhao, Xinyu Zhou, Yang Li, Liangxin Qian:
Optimizing Utility-Energy Efficiency for the Metaverse over Wireless Networks under Physical Layer Security. MobiHoc 2023: 250-259 - [c83]Zimo Ma, Jun Zhao:
QoS Aware Resource Management in Mobile Edge Computing for Emerging Artificial Intelligence (AI) Applications. MSN 2023: 238-245 - [c82]Zefan Wang, Jun Zhao:
Utility-Oriented Wireless Communications for 6G Networks: Semantic Information Transfer for IRS aided Vehicular Metaverse. VTC2023-Spring 2023: 1-7 - [c81]Wenhan Yu, Terence Jie Chua, Jun Zhao:
Mobile Edge Computing and AI Enabled Web3 Metaverse over 6G Wireless Communications: A Deep Reinforcement Learning Approach. VTC2023-Spring 2023: 1-5 - 2022
- [c80]Terence Jie Chua, Wenhan Yu, Chang Liu, Jun Zhao:
Detection of Uncertainty in Exceedance of Threshold (DUET): An Adversarial Patch Localizer. BDCAT 2022: 11-20 - [c79]Yitong Wang, Jun Zhao:
A Survey of Mobile Edge Computing for the Metaverse: Architectures, Applications, and Challenges. CIC 2022: 1-9 - [c78]Aichen Li, Yang Liu, Qingqing Wu, Qingjiang Shi, Jun Zhao:
Joint Scheduling and Beamforming Design in Traffic-Aware RIS Aided MEC Network. GLOBECOM (Workshops) 2022: 1646-1651 - [c77]Peiyuan Si, Jun Zhao, Huimei Han, Kwok-Yan Lam, Yang Liu:
Resource Allocation and Resolution Control in the Metaverse with Mobile Augmented Reality. GLOBECOM 2022: 3265-3271 - [c76]Xinyu Zhou, Jun Zhao, Huimei Han, Claude Guet:
Joint Optimization of Energy Consumption and Completion Time in Federated Learning. ICDCS 2022: 1005-1017 - [c75]Chang Liu, Terence Jie Chua, Jun Zhao:
Time Minimization in Hierarchical Federated Learning. SEC 2022: 96-106 - [c74]Tinghao Zhang, Zhijun Li, Yongrui Chen, Kwok-Yan Lam, Jun Zhao:
Edge-Cloud Cooperation for DNN Inference via Reinforcement Learning and Supervised Learning. iThings/GreenCom/CPSCom/SmartData/Cybermatics 2022: 77-84 - [c73]Terence Jie Chua, Wenhan Yu, Jun Zhao:
Resource Allocation for Mobile Metaverse with the Internet of Vehicles over 6G Wireless Communications: A Deep Reinforcement Learning Approach. WF-IoT 2022: 1-7 - [c72]Qiao Han, Jun Zhao, Kwok-Yan Lam:
Facial Landmark Predictions with Applications to Metaverse. WF-IoT 2022: 1-6 - [c71]Yitong Wang, Jun Zhao:
Mobile Edge Computing, Metaverse, 6G Wireless Communications, Artificial Intelligence, and Blockchain: Survey and Their Convergence. WF-IoT 2022: 1-8 - 2021
- [c70]Jinqi Luo, Tao Bai, Jun Zhao:
Generating Adversarial yet Inconspicuous Patches with a Single Image (Student Abstract). AAAI 2021: 15837-15838 - [c69]Weiheng Jiang, Bolin Chen, Sahil Garg, Jiangtian Nie, Jun Zhao, Zehui Xiong:
Joint Transmit Precoding and Reflect Beamforming for IRS-Assisted MIMO-OFDM Secure Communications. GLOBECOM 2021: 1-6 - [c68]Helin Yang, Kwok-Yan Lam, Jiangtian Nie, Jun Zhao, Sahil Garg, Liang Xiao, Zehui Xiong, Mohsen Guizani:
3D Beamforming Based on Deep Learning for Secure Communication in 5G and Beyond Wireless Networks. GLOBECOM (Workshops) 2021: 1-6 - [c67]Yanze Zhu, Yang Liu, Jun Zhao, Ming Li, Qingqing Wu:
Joint Time Allocation and Beamforming Design for IRS-Aided Coexistent Cellular and Sensor Networks. GLOBECOM 2021: 1-6 - [c66]Yang Liu, Jun Zhao, Ming Li, Qingqing Wu:
Intelligent Reflecting Surface Aided MISO Uplink Wireless Network: Feasibility and Power Control. ICC Workshops 2021: 1-6 - [c65]Wenchao Zhai, Yishan Wu, Jun Zhao, Huimei Han:
6G Downlink Transmission via Rate Splitting Space Division Multiple Access Based on Grouped Code Index Modulation. ICC Workshops 2021: 1-6 - [c64]Aichen Li, Yang Liu, Ming Li, Qingqing Wu, Jun Zhao:
Joint Scheduling Design in Wireless Powered MEC IoT Networks Aided by Reconfigurable Intelligent Surface. ICCC Workshops 2021: 159-164 - [c63]Tao Bai, Jun Zhao, Jinlin Zhu, Shoudong Han, Jiefeng Chen, Bo Li, Alex C. Kot:
AI-GAN: Attack-Inspired Generation of Adversarial Examples. ICIP 2021: 2543-2547 - [c62]Tao Bai, Jinqi Luo, Jun Zhao, Bihan Wen, Qian Wang:
Recent Advances in Adversarial Training for Adversarial Robustness. IJCAI 2021: 4312-4321 - [c61]Helin Yang, Jun Zhao, Jiangtian Nie, Neeraj Kumar, Kwok-Yan Lam, Zehui Xiong:
UAV-Assisted 5G/6G Networks: Joint Scheduling and Resource Allocation Based on Asynchronous Reinforcement Learning. INFOCOM Workshops 2021: 1-6 - [c60]Xiaoyu Wang, Tao Bai, Jun Zhao:
A Data-Free Approach for Targeted Universal Adversarial Perturbation. SciSec 2021: 126-138 - [c59]Jiale Guo, Ziyao Liu, Kwok-Yan Lam, Jun Zhao, Yiqiang Chen:
Privacy-Enhanced Federated Learning with Weighted Aggregation. SocialSec 2021: 93-109 - [c58]Yue Xiu, Yang Zhao, Yang Liu, Jun Zhao, Osman Yagan, Ning Wei:
IRS-Assisted Millimeter Wave Communications: Joint Power Allocation and Beamforming Design. WCNC Workshops 2021: 1-6 - [c57]Helin Yang, Jun Zhao, Kwok-Yan Lam, Sahil Garg, Qingqing Wu, Zehui Xiong:
Deep Reinforcement Learning Based Resource Allocation for Heterogeneous Networks. WiMob 2021: 253-258 - 2020
- [c56]Zehui Xiong, Jun Zhao, Jiawen Kang, Dusit Niyato, Ruilong Deng, Shengli Xie:
Towards the Future Data Market: Reward Optimization in Mobile Data Subsidization. 6GN 2020: 173-189 - [c55]Hans Albert Lianto, Yang Zhao, Jun Zhao:
POSTER: Attacks to Federated Learning: Responsive Web User Interface to Recover Training Data from User Gradients. AsiaCCS 2020: 901-903 - [c54]Leong Mei Han, Yang Zhao, Jun Zhao:
POSTER: Blockchain-Based Differential Privacy Cost Management System. AsiaCCS 2020: 925-927 - [c53]Lin Sun, Xiaojun Ye, Jun Zhao, Chenhui Lu, Mengmeng Yang:
BiSample: Bidirectional Sampling for Handling Missing Data with Local Differential Privacy. DASFAA (1) 2020: 88-104 - [c52]Yulan Gao, Chao Yong, Zehui Xiong, Dusit Niyato, Yue Xiao, Jun Zhao:
A Stackelberg Game Approach to Resource Allocation for IRS-aided Communications. GLOBECOM 2020: 1-6 - [c51]Yulan Gao, Chao Yong, Zehui Xiong, Dusit Niyato, Yue Xiao, Jun Zhao:
Resource Allocation for Intelligent Reflecting Surface Aided Cooperative Communications. GLOBECOM 2020: 1-6 - [c50]Xiaolun Jia, Jun Zhao, Xiangyun Zhou, Dusit Niyato:
Intelligent Reflecting Surface-Aided Backscatter Communications. GLOBECOM 2020: 1-6 - [c49]Helin Yang, Zehui Xiong, Jun Zhao, Dusit Niyato, Qingqing Wu, Massimo Tornatore, Stefano Secci:
Intelligent Reflecting Surface Assisted Anti-Jamming Communications Based on Reinforcement Learning. GLOBECOM 2020: 1-6 - [c48]Helin Yang, Yang Zhao, Zehui Xiong, Jun Zhao, Dusit Niyato, Kwok-Yan Lam, Qingqing Wu:
Deep Reinforcement Learning Based Intelligent Reflecting Surface for Secure Wireless Communications. GLOBECOM 2020: 1-6 - [c47]Yulan Gao, Chao Yong, Zehui Xiong, Dusit Niyato, Yue Xiao, Jun Zhao:
Reconfigurable Intelligent Surface for MISO Systems with Proportional Rate Constraints. ICC 2020: 1-7 - [c46]Huimei Han, Jun Zhao, Dusit Niyato, Marco Di Renzo, Quoc-Viet Pham:
Intelligent Reflecting Surface Aided Network: Power Control for Physical-Layer Broadcasting. ICC 2020: 1-7 - [c45]Wei Sun, Qingyang Song, Lei Guo, Jun Zhao:
Secrecy Rate Maximization for Intelligent Reflecting Surface Aided SWIPT Systems. ICCC 2020: 1226-1231 - [c44]Jun Zhao, Jing Tang, Zengxiang Li, Huaxiong Wang, Kwok-Yan Lam, Kaiping Xue:
An Analysis of Blockchain Consistency in Asynchronous Networks: Deriving a Neat Bound. ICDCS 2020: 179-189 - [c43]Zhiying Xu, Shuyu Shi, Alex X. Liu, Jun Zhao, Lin Chen:
An Adaptive and Fast Convergent Approach to Differentially Private Deep Learning. INFOCOM 2020: 1867-1876 - [c42]Yunchuan Liu, Amir Ghasemkhani, Lei Yang, Jun Zhao, Junshan Zhang, Vijay Vittal:
Seasonal Self-evolving Neural Networks Based Short-term Wind Farm Generation Forecast. SmartGridComm 2020: 1-6 - [c41]Lingjuan Lyu, Yee Wei Law, Kee Siong Ng, Shibei Xue, Jun Zhao, Mengmeng Yang, Lei Liu:
Towards Distributed Privacy-Preserving Prediction. SMC 2020: 4179-4184 - [c40]Huy Thanh Nguyen, Nguyen Cong Luong, Jun Zhao, Chau Yuen, Dusit Niyato:
Resource Allocation in Mobility-Aware Federated Learning Networks: A Deep Reinforcement Learning Approach. WF-IoT 2020: 1-6 - 2019
- [c39]Teng Wang, Jun Zhao, Han Yu, Jinyan Liu, Xinyu Yang, Xuebin Ren, Shuyu Shi:
Privacy-preserving Crowd-guided AI Decision-making in Ethical Dilemmas. CIKM 2019: 1311-1320 - [c38]Linshan Jiang, Xin Lou, Rui Tan, Jun Zhao:
Differentially Private Collaborative Learning for the IoT Edge. EWSN 2019: 341-346 - [c37]Zehui Xiong, Jun Zhao, Dusit Niyato, Ping Wang, Yang Zhang:
Design of Contract-Based Sponsorship Scheme in Stackelberg Game for Sponsored Content Market. GLOBECOM 2019: 1-6 - [c36]Ning Wang, Xiaokui Xiao, Yin Yang, Jun Zhao, Siu Cheung Hui, Hyejin Shin, Junbum Shin, Ge Yu:
Collecting and Analyzing Multidimensional Data with Local Differential Privacy. ICDE 2019: 638-649 - [c35]Shuyu Shi, Yaxiong Xie, Mo Li, Alex X. Liu, Jun Zhao:
Synthesizing Wider WiFi Bandwidth for Respiration Rate Monitoring in Dynamic Environments. INFOCOM 2019: 181-189 - [c34]Teng Wang, Xinyu Yang, Xuebin Ren, Jun Zhao, Kwok-Yan Lam:
Adaptive Differentially Private Data Stream Publishing in Spatio-temporal Monitoring of IoT. IPCCC 2019: 1-8 - [c33]Renchi Yang, Xiaokui Xiao, Zhewei Wei, Sourav S. Bhowmick, Jun Zhao, Rong-Hua Li:
Efficient Estimation of Heat Kernel PageRank for Local Clustering. SIGMOD Conference 2019: 1339-1356 - [c32]Yutao Jiao, Ping Wang, Dusit Niyato, Jun Zhao, Bin Lin, Dong In Kim:
Task Allocation and Mobile Base Station Deployment in Wireless Powered Spatial Crowdsourcing. SmartGridComm 2019: 1-7 - 2018
- [c31]Jun Zhao:
Analyzing the Robustness of Deep Learning Against Adversarial Examples. Allerton 2018: 1060-1064 - [c30]Wubing Chen, Zhiying Xu, Shuyu Shi, Yang Zhao, Jun Zhao:
A Survey of Blockchain Applications in Different Domains. ICBTA 2018: 17-21 - 2017
- [c29]Jun Zhao:
Relations among different privacy notions. Allerton 2017: 798-805 - [c28]Jun Zhao, Junshan Zhang, H. Vincent Poor:
Dependent Differential Privacy for Correlated Data. GLOBECOM Workshops 2017: 1-7 - [c27]Jun Zhao:
Designing secure networks with q-composite key predistribution under different link constraints. ICASSP 2017: 2077-2081 - [c26]Jun Zhao:
Modeling interest-based social networks: Superimposing Erdős-Rényi graphs over random intersection graphs. ICASSP 2017: 3704-3708 - [c25]Jun Zhao:
Secure Connectivity of Wireless Sensor Networks Under Key Predistribution with on/off Channels. ICDCS 2017: 889-899 - [c24]Jun Zhao:
Composition properties of Bayesian differential privacy. PIMRC 2017: 1-5 - [c23]Jun Zhao:
Adaptive Statistical Learning with Bayesian Differential Privacy. WPES@CCS 2017: 63-74 - 2016
- [c22]Jun Zhao:
Initial spreaders in online social networks. Allerton 2016: 180-186 - [c21]Jun Zhao:
A comprehensive guideline for choosing parameters in the Eschenauer-Gligor key predistribution. Allerton 2016: 1267-1273 - [c20]Ran Liu, Chau Yuen, Jun Zhao, Jindong Guo, Ronghong Mo, Vishesh N. Pamadi, Xiang Liu:
Selective AP-Sequence Based Indoor Localization without Site Survey. VTC Spring 2016: 1-5 - 2015
- [c19]Jun Zhao:
The absence of isolated node in geometric random graphs. Allerton 2015: 881-886 - [c18]Jun Zhao:
On the resilience to node capture attacks of secure wireless sensor networks. Allerton 2015: 887-893 - [c17]Jun Zhao:
Sharp transitions in random key graphs. Allerton 2015: 1182-1188 - [c16]Jun Zhao:
Threshold functions in random s-intersection graphs. Allerton 2015: 1358-1365 - [c15]Jun Zhao, Osman Yagan, Virgil D. Gligor:
On k-Connectivity and Minimum Vertex Degree in Random s-Intersection Graphs. ANALCO 2015: 1-15 - [c14]Jun Zhao:
Parameter control in predistribution schemes of cryptographic keys. GlobalSIP 2015: 863-867 - [c13]Jun Zhao:
Critical behavior in heterogeneous random key graphs. GlobalSIP 2015: 868-872 - [c12]Faruk Yavuz, Jun Zhao, Osman Yagan, Virgil D. Gligor:
Designing secure and reliable wireless sensor networks under a pairwise key predistribution scheme. ICC 2015: 6277-6283 - [c11]Jun Zhao, Osman Yagan, Virgil D. Gligor:
Exact analysis of k-connectivity in secure sensor networks with unreliable links. WiOpt 2015: 191-198 - 2014
- [c10]Jun Zhao, Osman Yagan, Virgil D. Gligor:
Connectivity in secure wireless sensor networks under transmission constraints. Allerton 2014: 1294-1301 - [c9]Jun Zhao, Osman Yagan, Virgil D. Gligor:
On the strengths of connectivity and robustness in general random intersection graphs. CDC 2014: 3661-3668 - [c8]Jun Zhao:
Minimum node degree and k-connectivity in wireless networks with unreliable links. ISIT 2014: 246-250 - [c7]Jun Zhao, Osman Yagan, Virgil D. Gligor:
On topological properties of wireless sensor networks under the q-composite key predistribution scheme with on/off channels. ISIT 2014: 1131-1135 - [c6]Faruk Yavuz, Jun Zhao, Osman Yagan, Virgil D. Gligor:
On secure and reliable communications in wireless sensor networks: Towards k-connectivity under a random pairwise key predistribution scheme. ISIT 2014: 2381-2385 - 2013
- [c5]Jun Zhao, Osman Yagan, Virgil D. Gligor:
Secure k-connectivity in wireless sensor networks under an on/off channel model. ISIT 2013: 2790-2794 - [c4]Jun Zhao, Virgil D. Gligor, Adrian Perrig, James Newsome:
ReDABLS: Revisiting Device Attestation with Bounded Leakage of Secrets. Security Protocols Workshop 2013: 94-114 - 2011
- [c3]Xiao Wang, Xinbing Wang, Jun Zhao:
Impact of Mobility and Heterogeneity on Coverage and Energy Consumption in Wireless Sensor Networks. ICDCS 2011: 477-487 - 2010
- [c2]Chenhui Hu, Xinbing Wang, Ding Nie, Jun Zhao:
Multicast Scaling Laws with Hierarchical Cooperation. INFOCOM 2010: 1801-1809 - 2009
- [c1]Virgil D. Gligor, Adrian Perrig, Jun Zhao:
Brief Encounters with a Random Key Graph. Security Protocols Workshop 2009: 157-161
Parts in Books or Collections
- 2020
- [p1]Lingjuan Lyu, Han Yu, Jun Zhao, Qiang Yang:
Threats to Federated Learning. Federated Learning 2020: 3-16
Editorship
- 2025
- [e1]Jun Zhao, Weizhi Meng:
Science of Cyber Security - 6th International Conference, SciSec 2024, Copenhagen, Denmark, August 14-16, 2024, Proceedings. Lecture Notes in Computer Science 15441, Springer 2025, ISBN 978-981-96-2416-4 [contents]
Data and Artifacts
- 2021
- [d1]Jun Zhao, Dongping Zhang:
Code for: PrivBayes - Private Data Release via Bayesian Networks. Zenodo, 2021
Informal and Other Publications
- 2025
- [i147]Yang Li, Xinyu Zhou, Jun Zhao:
Resource Allocation for the Training of Image Semantic Communication Networks. CoRR abs/2501.04408 (2025) - [i146]Haonan Tong, Mingzhe Chen, Jun Zhao, Ye Hu, Zhaohui Yang, Yuchen Liu, Changchuan Yin:
Continual Reinforcement Learning for Digital Twin Synchronization Optimization. CoRR abs/2501.08045 (2025) - [i145]Xinyu Zhou, Yang Li, Jun Zhao:
FedSem: A Resource Allocation Scheme for Federated Learning Assisted Semantic Communication. CoRR abs/2503.06058 (2025) - [i144]Yang Li, Xinyu Zhou, Yitong Wang, Liangxin Qian, Jun Zhao:
Private Transformer Inference in MLaaS: A Survey. CoRR abs/2505.10315 (2025) - [i143]Liangxin Qian, Yang Li, Jun Zhao:
QuHE: Optimizing Utility-Cost in Quantum Key Distribution and Homomorphic Encryption Enabled Secure Edge Computing Networks. CoRR abs/2507.06086 (2025) - [i142]Qin Guo, Haonan Tong, Sihua Wang, Peiyuan Si, Jun Zhao, Changchuan Yin:
A Secure Semantic Communication System Based on Knowledge Graph. CoRR abs/2511.13246 (2025) - [i141]Ivan Tjuawinata, Yann Fraboni, Ziyao Liu, Jun Zhao, Pu Duan, Kwok-Yan Lam:
MUSE-VFL: Multi-party Unified System for Private and Communication Efficient Backpropagation in Vertical Federated Learning. IACR Cryptol. ePrint Arch. 2025: 1451 (2025) - 2024
- [i140]Mohamed R. Shoaib, Heba M. Emara, Jun Zhao:
A Survey on the Applications of Frontier AI, Foundation Models, and Large Language Models to Intelligent Transportation Systems. CoRR abs/2401.06831 (2024) - [i139]Mohamed R. Shoaib, Heba M. Emara, Jun Zhao, Walid El-Shafai, Naglaa F. Soliman, Ahmed S. Mubarak, Osama A. Omer, Fathi E. Abd El-Samie, Hamada Esmaiel:
Deep Learning Innovations in Diagnosing Diabetic Retinopathy: The Potential of Transfer Learning and the DiaCNN Model. CoRR abs/2401.13990 (2024) - [i138]Tinghao Zhang, Kwok-Yan Lam, Jun Zhao:
Device Scheduling and Assignment in Hierarchical Federated Learning for Internet of Things. CoRR abs/2402.02506 (2024) - [i137]Liangxin Qian, Chang Liu, Jun Zhao:
User Connection and Resource Allocation Optimization in Blockchain Empowered Metaverse over 6G Wireless Communications. CoRR abs/2403.05116 (2024) - [i136]Chang Liu, Jun Zhao:
Resource Allocation in Large Language Model Integrated 6G Vehicular Networks. CoRR abs/2403.19016 (2024) - [i135]Renyang Liu, Kwok-Yan Lam, Wei Zhou, Sixing Wu, Jun Zhao, Dongting Hu, Mingming Gong:
STBA: Towards Evaluating the Robustness of DNNs for Query-Limited Black-box Scenario. CoRR abs/2404.00362 (2024) - [i134]Liangxin Qian, Ping Yang, Jun Zhao, Ze Chen, Wanbin Tang:
Self-Evolving Wireless Communications: A Novel Intelligence Trend for 6G and Beyond. CoRR abs/2404.04844 (2024) - [i133]Ziyao Liu, Yu Jiang, Weifeng Jiang, Jiale Guo, Jun Zhao, Kwok-Yan Lam:
Guaranteeing Data Privacy in Federated Unlearning with Dynamic User Participation. CoRR abs/2406.00966 (2024) - [i132]Liangxin Qian, Jun Zhao:
Parameter Training Efficiency Aware Resource Allocation for AIGC in Space-Air-Ground Integrated Networks. CoRR abs/2406.13602 (2024) - [i131]Zefan Wang, Yitong Wang, Jun Zhao:
Resource Allocation and Secure Wireless Communication in the Large Model-based Mobile Edge Computing System. CoRR abs/2407.00347 (2024) - [i130]Chang Liu, Jun Zhao:
Resource Allocation for Stable LLM Training in Mobile Edge Computing. CoRR abs/2409.20247 (2024) - [i129]Yang Li, Wenhan Yu, Jun Zhao:
PrivTuner with Homomorphic Encryption and LoRA: A P3EFT Scheme for Privacy-Preserving Parameter-Efficient Fine-Tuning of AI Foundation Models. CoRR abs/2410.00433 (2024) - [i128]Liangxin Qian, Jun Zhao:
Data Processing Efficiency Aware User Association and Resource Allocation in Blockchain Enabled Metaverse over Wireless Communications. CoRR abs/2411.16083 (2024) - [i127]Liangxin Qian, Wenhan Yu, Peiyuan Si, Jun Zhao:
Applications of Inequalities to Optimization in Communication Networking: Novel Decoupling Techniques and Bounds for Multiplicative Terms Through Successive Convex Approximation. CoRR abs/2412.05828 (2024) - [i126]Yang Li, Xinyu Zhou, Yitong Wang, Liangxin Qian, Jun Zhao:
A Survey on Private Transformer Inference. CoRR abs/2412.08145 (2024) - 2023
- [i125]Peiyuan Si, Wenhan Yu, Jun Zhao, Kwok-Yan Lam, Qing Yang:
UAV aided Metaverse over Wireless Communications: A Reinforcement Learning Approach. CoRR abs/2301.01474 (2023) - [i124]Xinyu Zhou, Yang Li, Jun Zhao:
Resource Allocation of Federated Learning Assisted Mobile Augmented Reality System in the Metaverse. CoRR abs/2301.12085 (2023) - [i123]Wenhan Yu, Terence Jie Chua, Jun Zhao:
User-centric Heterogeneous-action Deep Reinforcement Learning for Virtual Reality in the Metaverse over Wireless Networks. CoRR abs/2302.01471 (2023) - [i122]Wenhan Yu, Terence Jie Chua, Jun Zhao:
Virtual Reality in Metaverse over Wireless Networks with User-centered Deep Reinforcement Learning. CoRR abs/2303.04349 (2023) - [i121]Jun Zhao, Xinyu Zhou, Yang Li, Liangxin Qian:
Optimizing Utility-Energy Efficiency for the Metaverse over Wireless Networks under Physical Layer Security. CoRR abs/2303.04683 (2023) - [i120]Terence Jie Chua, Wenhan Yu, Jun Zhao:
Mobile Edge Adversarial Detection for Digital Twinning to the Metaverse with Deep Reinforcement Learning. CoRR abs/2303.10288 (2023) - [i119]Terence Jie Chua, Wenhan Yu, Jun Zhao:
Play to Earn in the Metaverse with Mobile Edge Computing over Wireless Networks: A Deep Reinforcement Learning Approach. CoRR abs/2303.10289 (2023) - [i118]Terence Jie Chua, Wenhan Yu, Chang Liu, Jun Zhao:
Detection of Uncertainty in Exceedance of Threshold (DUET): An Adversarial Patch Localizer. CoRR abs/2303.10291 (2023) - [i117]Tao Bai, Chen Chen, Lingjuan Lyu, Jun Zhao, Bihan Wen:
Towards Adversarially Robust Continual Learning. CoRR abs/2303.17764 (2023) - [i116]Jun Zhao, Liangxin Qian, Wenhan Yu:
Human-Centric Resource Allocation in the Metaverse over Wireless Communications. CoRR abs/2304.00355 (2023) - [i115]Wenhan Yu, Jun Zhao:
Semantic communications, semantic edge computing, and semantic caching. CoRR abs/2304.08096 (2023) - [i114]Peiyuan Si, Liangxin Qian, Jun Zhao, Kwok-Yan Lam:
A Hybrid Framework of Reinforcement Learning and Convex Optimization for UAV-Based Autonomous Metaverse Data Collection. CoRR abs/2305.18481 (2023) - [i113]Wenhan Yu, Jun Zhao:
Heterogeneous 360 Degree Videos in Metaverse: Differentiated Reinforcement Learning Approaches. CoRR abs/2308.04083 (2023) - [i112]Tinghao Zhang, Kwok-Yan Lam, Jun Zhao:
User Assignment and Resource Allocation for Hierarchical Federated Learning over Wireless Networks. CoRR abs/2309.09253 (2023) - [i111]Peiyuan Si, Jun Zhao, Kwok-Yan Lam, Qing Yang:
UAV-assisted Semantic Communication with Hybrid Action Reinforcement Learning. CoRR abs/2309.16713 (2023) - [i110]Renyang Liu, Wei Zhou, Tianwei Zhang, Kangjie Chen, Jun Zhao, Kwok-Yan Lam:
Boosting Black-box Attack to Deep Neural Networks with Conditional Diffusion Models. CoRR abs/2310.07492 (2023) - [i109]Renyang Liu, Jinhong Zhang, Kwok-Yan Lam, Jun Zhao, Wei Zhou:
SCME: A Self-Contrastive Method for Data-free and Query-Limited Model Extraction Attack. CoRR abs/2310.09792 (2023) - [i108]Renyang Liu, Jun Zhao, Xing Chu, Yu Liang, Wei Zhou, Jing He:
Can LSH (Locality-Sensitive Hashing) Be Replaced by Neural Network? CoRR abs/2310.09806 (2023) - [i107]Terence Jie Chua, Wenhan Yu, Jun Zhao, Kwok-Yan Lam:
FedPEAT: Convergence of Federated Learning, Parameter-Efficient Fine Tuning, and Emulator Assisted Tuning for Artificial Intelligence Foundation Models with Mobile Edge Computing. CoRR abs/2310.17491 (2023) - [i106]Wenhan Yu, Terence Jie Chua, Jun Zhao:
Orchestration of Emulator Assisted Mobile Edge Tuning for AI Foundation Models: A Multi-Agent Deep Reinforcement Learning Approach. CoRR abs/2310.17492 (2023) - [i105]Liangxin Qian, Jun Zhao:
User Association and Resource Allocation in Large Language Model Based Mobile Edge Computing System over Wireless Communications. CoRR abs/2310.17872 (2023) - [i104]Mohamed R. Shoaib, Heba M. Emara, Jun Zhao:
Revolutionizing Global Food Security: Empowering Resilience through Integrated AI Foundation Models and Data-Driven Solutions. CoRR abs/2310.20301 (2023) - [i103]Mohamed R. Shoaib, Zefan Wang, Milad Taleby Ahvanooey, Jun Zhao:
Deepfakes, Misinformation, and Disinformation in the Era of Frontier AI, Generative AI, and Large AI Models. CoRR abs/2311.17394 (2023) - [i102]Yang Li, Xinyu Zhou, Jun Zhao:
Resource Allocation for Semantic Communication under Physical-layer Security. CoRR abs/2312.04155 (2023) - [i101]Chang Liu, Terence Jie Chua, Jun Zhao:
Optimization for the Metaverse over Mobile Edge Computing with Play to Earn. CoRR abs/2312.05871 (2023) - [i100]Yitong Wang, Chang Liu, Jun Zhao:
Transforms for Multiplicative and Fractional Programming with Broad Applications in Edge Computing and Communication Networks. CoRR abs/2312.06202 (2023) - [i99]Yitong Wang, Chang Liu, Jun Zhao:
Offloading and Quality Control for AI Generated Content Services in Edge Computing Networks. CoRR abs/2312.06203 (2023) - [i98]Wenhan Yu, Terence Jie Chua, Jun Zhao:
Mobile Edge Computing and AI Enabled Web3 Metaverse over 6G Wireless Communications: A Deep Reinforcement Learning Approach. CoRR abs/2312.06293 (2023) - [i97]Renyang Liu, Wei Zhou, Sixin Wu, Jun Zhao, Kwok-Yan Lam:
SSTA: Salient Spatially Transformed Attack. CoRR abs/2312.07258 (2023) - 2022
- [i96]Ziyao Liu, Jiale Guo, Wenzhuo Yang, Jiani Fan, Kwok-Yan Lam, Jun Zhao:
Privacy-Preserving Aggregation in Federated Learning: A Survey. CoRR abs/2203.17005 (2022) - [i95]Ziyao Liu, Jiale Guo, Kwok-Yan Lam, Jun Zhao:
Efficient Dropout-resilient Aggregation for Privacy-preserving Machine Learning. CoRR abs/2203.17044 (2022) - [i94]Terence Jie Chua, Wenhan Yu, Jun Zhao:
Resource Allocation for Mobile Metaverse with the Internet of Vehicles over 6G Wireless Communications: A Deep Reinforcement Learning Approach. CoRR abs/2209.13425 (2022) - [i93]Peiyuan Si, Jun Zhao, Huimei Han, Kwok-Yan Lam, Yang Liu:
Resource Allocation and Resolution Control in the Metaverse with Mobile Augmented Reality. CoRR abs/2209.13871 (2022) - [i92]Yitong Wang, Jun Zhao:
Mobile Edge Computing, Metaverse, 6G Wireless Communications, Artificial Intelligence, and Blockchain: Survey and Their Convergence. CoRR abs/2209.14147 (2022) - [i91]Qiao Han, Jun Zhao, Kwok-Yan Lam:
Facial Landmark Predictions with Applications to Metaverse. CoRR abs/2209.14698 (2022) - [i90]Xinyu Zhou, Jun Zhao, Huimei Han, Claude Guet:
Joint Optimization of Energy Consumption and Completion Time in Federated Learning. CoRR abs/2209.14900 (2022) - [i89]Chang Liu, Terence Jie Chua, Jun Zhao:
Time Minimization in Hierarchical Federated Learning. CoRR abs/2210.04689 (2022) - [i88]Tinghao Zhang, Zhijun Li, Yongrui Chen, Kwok-Yan Lam, Jun Zhao:
Edge-Cloud Cooperation for DNN Inference via Reinforcement Learning and Supervised Learning. CoRR abs/2210.05182 (2022) - [i87]Xinyu Zhou, Chang Liu, Jun Zhao:
Resource Allocation of Federated Learning for the Metaverse with Mobile Augmented Reality. CoRR abs/2211.08705 (2022) - [i86]Yitong Wang, Jun Zhao:
A Survey of Mobile Edge Computing for the Metaverse: Architectures, Applications, and Challenges. CoRR abs/2212.00481 (2022) - [i85]Xinyu Zhou, Jun Zhao:
Mobile Augmented Reality with Federated Learning in the Metaverse. CoRR abs/2212.08324 (2022) - [i84]Chang Liu, Yitong Wang, Jun Zhao:
Mobile Edge Computing for the Metaverse. CoRR abs/2212.09229 (2022) - [i83]Terence Jie Chua, Wenhan Yu, Jun Zhao:
Unified, User and Task (UUT) Centered Artificial Intelligence for Metaverse Edge Computing. CoRR abs/2212.09295 (2022) - [i82]Tinghao Zhang, Kwok-Yan Lam, Jun Zhao, Feng Li, Huimei Han, Norziana Jamil:
Enhancing Federated Learning with spectrum allocation optimization and device selection. CoRR abs/2212.13544 (2022) - [i81]Wenhan Yu, Terence Jie Chua, Jun Zhao:
Asynchronous Hybrid Reinforcement Learning for Latency and Reliability Optimization in the Metaverse over Wireless Communications. CoRR abs/2212.14749 (2022) - 2021
- [i80]Quoc-Viet Pham, Thien Huynh-The, Mamoun Alazab, Jun Zhao, Won-Joo Hwang:
Sum-Rate Maximization for UAV-assisted Visible Light Communications using NOMA: Swarm Intelligence meets Machine Learning. CoRR abs/2101.03498 (2021) - [i79]Tao Bai, Jinqi Luo, Jun Zhao, Bihan Wen, Qian Wang:
Recent Advances in Adversarial Training for Adversarial Robustness. CoRR abs/2102.01356 (2021) - [i78]Wenchao Zhai, Yishan Wu, Jun Zhao, Huimei Han:
6G Downlink Transmission via Rate Splitting Space Division Multiple Access Based on Grouped Code Index Modulation. CoRR abs/2103.00829 (2021) - [i77]Mengmeng Yang, Ivan Tjuawinata, Kwok-Yan Lam, Tianqing Zhu, Jun Zhao:
Fair and Differentially Private Distributed Frequency Estimation. CoRR abs/2104.05974 (2021) - [i76]Ali Hussain Khan, Naveed Ul Hassan, Chau Yuen, Jun Zhao, Dusit Niyato, Yan Zhang, H. Vincent Poor:
Blockchain and 6G: The Future of Secure and Ubiquitous Communication. CoRR abs/2106.05673 (2021) - [i75]Tao Bai, Jinqi Luo, Jun Zhao:
Inconspicuous Adversarial Patches for Fooling Image Recognition Systems on Mobile Devices. CoRR abs/2106.15202 (2021) - [i74]Thippa Reddy Gadekallu, Quoc-Viet Pham, Dinh C. Nguyen, Praveen Kumar Reddy Maddikunta, Natarajan Deepa, Prabadevi B, Pubudu N. Pathirana, Jun Zhao, Won-Joo Hwang:
Blockchain for Edge of Things: Applications, Opportunities, and Challenges. CoRR abs/2110.05022 (2021) - [i73]Tao Bai, Jun Zhao, Lanqing Guo, Bihan Wen:
Adversarial Purification through Representation Disentanglement. CoRR abs/2110.07801 (2021) - [i72]Tao Bai, Jun Zhao, Jinlin Zhu, Shoudong Han, Jiefeng Chen, Bo Li, Alex C. Kot:
Towards Efficiently Evaluating the Robustness of Deep Neural Networks in IoT Systems: A GAN-based Method. CoRR abs/2111.10055 (2021) - 2020
- [i71]Yang Zhao, Jun Zhao, Jiawen Kang, Zehang Zhang, Dusit Niyato, Shuyu Shi:
A Blockchain-Based Approach for Saving and Tracking Differential-Privacy Cost. CoRR abs/2001.09259 (2020) - [i70]Yulan Gao, Chao Yong, Zehui Xiong, Dusit Niyato, Yue Xiao, Jun Zhao:
Reconfigurable Intelligent Surface for MISO Systems with Proportional Rate Constraints. CoRR abs/2001.10845 (2020) - [i69]Yulan Gao, Chao Yong, Zehui Xiong, Jun Zhao, Yue Xiao, Dusit Niyato:
Reflection Resource Management for Intelligent Reflecting Surface Aided Wireless Networks. CoRR abs/2002.00331 (2020) - [i68]Tao Bai, Jun Zhao, Jinlin Zhu, Shoudong Han, Jiefeng Chen, Bo Li:
AI-GAN: Attack-Inspired Generation of Adversarial Examples. CoRR abs/2002.02196 (2020) - [i67]Ziqing Yang, Shoudong Han, Jun Zhao:
Poisson Kernel Avoiding Self-Smoothing in Graph Convolutional Networks. CoRR abs/2002.02589 (2020) - [i66]Ge Song, Jun Zhao, Xiaoyang Tan:
Deep Robust Multilevel Semantic Cross-Modal Hashing. CoRR abs/2002.02698 (2020) - [i65]Lin Sun, Xiaojun Ye, Jun Zhao, Chenhui Lu, Mengmeng Yang:
BiSample: Bidirectional Sampling for Handling Missing Data with Local Differential Privacy. CoRR abs/2002.05624 (2020) - [i64]Cong Wang, Witold Pedrycz, ZhiWu Li, MengChu Zhou, Jun Zhao:
Residual-Sparse Fuzzy C-Means Clustering Incorporating Morphological Reconstruction and Wavelet frames. CoRR abs/2002.08418 (2020) - [i63]Piao Huang, Shoudong Han, Jun Zhao, Donghaisheng Liu, Hongwei Wang, En Yu, Alex ChiChung Kot:
Refinements in Motion and Appearance for Online Multi-Object Tracking. CoRR abs/2003.07177 (2020) - [i62]Meng Hua, Qingqing Wu, Derrick Wing Kwan Ng, Jun Zhao, Luxi Yang:
Intelligent Reflecting Surface-Aided Joint Processing Coordinated Multipoint Transmission. CoRR abs/2003.13909 (2020) - [i61]Yang Zhao, Jun Zhao, Mengmeng Yang, Teng Wang, Ning Wang, Lingjuan Lyu, Dusit Niyato, Kwok-Yan Lam:
Local Differential Privacy based Federated Learning for Internet of Things. CoRR abs/2004.08856 (2020) - [i60]Xiaolun Jia, Jun Zhao, Xiangyun Zhou, Dusit Niyato:
Intelligent Reflecting Surface-Aided Backscatter Communications. CoRR abs/2004.09059 (2020) - [i59]Hangyu Tian, Kaiping Xue, Shaohua Li, Jie Xu, Jianqing Liu, Jun Zhao:
Enabling Cross-chain Transactions: A Decentralized Cryptocurrency Exchange Protocol. CoRR abs/2005.03199 (2020) - [i58]Leong Mei Han, Yang Zhao, Jun Zhao:
Blockchain-Based Differential Privacy Cost Management System. CoRR abs/2006.04693 (2020) - [i57]Hans Albert Lianto, Yang Zhao, Jun Zhao:
Responsive Web User Interface to Recover Training Data from User Gradients in Federated Learning. CoRR abs/2006.04695 (2020) - [i56]Yue Xiu, Jun Zhao, Wei Sun, Marco Di Renzo, Guan Gui, Zhongpei Zhang, Ning Wei:
Reconfigurable Intelligent Surfaces Aided mmWave NOMA: Joint Power Allocation,Phase Shifts, and Hybrid Beamforming Optimization. CoRR abs/2007.05873 (2020) - [i55]Muhammad Baqer Mollah, Jun Zhao, Dusit Niyato, Yong Liang Guan, Chau Yuen, Sumei Sun, Kwok-Yan Lam, Leong Hai Koh:
Blockchain for the Internet of Vehicles towards Intelligent Transportation Systems: A Survey. CoRR abs/2007.06022 (2020) - [i54]Quoc-Viet Pham, Nhu-Ngoc Dao, Thien Huynh-The, Jun Zhao, Won-Joo Hwang:
Clustering and Power Allocation for UAV-assisted NOMA-VLC Systems: A Swarm Intelligence Approach. CoRR abs/2007.15430 (2020) - [i53]Mengmeng Yang, Lingjuan Lyu, Jun Zhao, Tianqing Zhu, Kwok-Yan Lam:
Local Differential Privacy and Its Applications: A Comprehensive Survey. CoRR abs/2008.03686 (2020) - [i52]Shoudong Han, Piao Huang, Hongwei Wang, En Yu, Donghaisheng Liu, Xiaofeng Pan, Jun Zhao:
MAT: Motion-Aware Multi-Object Tracking. CoRR abs/2009.04794 (2020) - [i51]Jinqi Luo, Tao Bai, Jun Zhao, Bo Li:
Generating Adversarial yet Inconspicuous Patches with a Single Image. CoRR abs/2009.09774 (2020) - [i50]Tao Bai, Jinnan Chen, Jun Zhao, Bihan Wen, Xudong Jiang, Alex C. Kot:
Feature Distillation With Guided Adversarial Contrastive Learning. CoRR abs/2009.09922 (2020) - [i49]Donghaisheng Liu, Shoudong Han, Yang Chen, Chenfei Xia, Jun Zhao:
FTN: Foreground-Guided Texture-Focused Person Re-Identification. CoRR abs/2009.11425 (2020) - [i48]Xuebin Ren, Chia-Mu Yu, Wei Yu, Xinyu Yang, Jun Zhao, Shusen Yang:
DPCrowd: Privacy-preserving and Communication-efficient Decentralized Statistical Estimation for Real-time Crowd-sourced Data. CoRR abs/2009.14125 (2020) - [i47]Huaqiang Xu, Guodong Zhang, Jun Zhao, Quoc-Viet Pham:
Intelligent reflecting surface aided wireless networks-Harris Hawks optimization for beamforming design. CoRR abs/2010.01900 (2020) - [i46]Jiale Guo, Ziyao Liu, Kwok-Yan Lam, Jun Zhao, Yiqiang Chen, Chaoping Xing:
Secure Weighted Aggregation in Federated Learning. CoRR abs/2010.08730 (2020) - [i45]Xiaolun Jia, Xiangyun Zhou, Dusit Niyato, Jun Zhao:
Intelligent Reflecting Surface-Assisted Bistatic Backscatter Networks: Joint Beamforming and Reflection Design. CoRR abs/2010.08947 (2020) - [i44]Tao Bai, Jinqi Luo, Jun Zhao:
Recent Advances in Understanding Adversarial Robustness of Deep Neural Networks. CoRR abs/2011.01539 (2020) - [i43]Helin Yang, Jun Zhao, Zehui Xiong, Kwok-Yan Lam, Sumei Sun, Liang Xiao:
Privacy-Preserving Federated Learning for UAV-Enabled Networks: Learning-Based Joint Scheduling and Resource Management. CoRR abs/2011.14197 (2020) - [i42]Lingjuan Lyu, Han Yu, Xingjun Ma, Lichao Sun, Jun Zhao, Qiang Yang, Philip S. Yu:
Privacy and Robustness in Federated Learning: Attacks and Defenses. CoRR abs/2012.06337 (2020) - [i41]Yulan Gao, Chao Yong, Zehui Xiong, Dusit Niyato, Yue Xiao, Jun Zhao:
A Stackelberg Game Approach to Resource Allocation for IRS-aided Communications. CoRR abs/2012.08989 (2020) - [i40]Feng Li, Kwok-Yan Lam, Min Jia, Jun Zhao, Xiuhua Li, Li Wang:
Blockchain-Based Approach for Securing Spectrum Trading in Multibeam Satellite Systems. CoRR abs/2012.10681 (2020) - [i39]Huimei Han, Wenchao Zhai, Weidang Lu, Xinyuan Yang, Liping Qian, Jun Zhao:
LSTM-Aided Hybrid Random Access Scheme for 6G Heterogeneous MTC Networks. CoRR abs/2012.13537 (2020) - [i38]Huimei Han, Lushun Fang, Weidang Lu, Wenchao Zhai, Ying Li, Jun Zhao:
A GCICA Grant-Free Random Access Scheme for M2M Communications in Crowded Massive MIMO Systems. CoRR abs/2012.13539 (2020) - [i37]Mengmeng Yang, Ivan Tjuawinata, Kwok-Yan Lam, Jun Zhao, Lin Sun:
Secure Hot Path Crowdsourcing with Local Differential Privacy under Fog Computing Architecture. CoRR abs/2012.13807 (2020) - [i36]Hongliang Zhang, Shoudong Han, Xiaofeng Pan, Jun Zhao:
ANL: Anti-Noise Learning for Cross-Domain Person Re-Identification. CoRR abs/2012.13853 (2020) - 2019
- [i35]Renchi Yang, Xiaokui Xiao, Zhewei Wei, Sourav S. Bhowmick, Jun Zhao, Rong-Hua Li:
Efficient Estimation of Heat Kernel PageRank for Local Clustering. CoRR abs/1904.02707 (2019) - [i34]Teng Wang, Jun Zhao, Han Yu, Jinyan Liu, Xinyu Yang, Xuebin Ren, Shuyu Shi:
Privacy-preserving Crowd-guided AI Decision-making in Ethical Dilemmas. CoRR abs/1906.01562 (2019) - [i33]Teng Wang, Jun Zhao, Xinyu Yang, Xuebin Ren:
Locally Differentially Private Data Collection and Analysis. CoRR abs/1906.01777 (2019) - [i32]Yang Zhao, Jun Zhao, Linshan Jiang, Rui Tan, Dusit Niyato:
Mobile Edge Computing, Blockchain and Reputation-based Crowdsourcing IoT Federated Learning: A Secure, Decentralized and Privacy-preserving System. CoRR abs/1906.10893 (2019) - [i31]Ning Wang, Xiaokui Xiao, Yin Yang, Jun Zhao, Siu Cheung Hui, Hyejin Shin, Junbum Shin, Ge Yu:
Collecting and Analyzing Multidimensional Data with Local Differential Privacy. CoRR abs/1907.00782 (2019) - [i30]Binbin Huang, Zhongjin Li, Peng Tang, Shangguang Wang, Jun Zhao, Haiyang Hu, Wanqing Li, Victor I. Chang:
Security modeling and efficient computation offloading for service workflow in mobile edge computing. CoRR abs/1907.02506 (2019) - [i29]Lin Sun, Jun Zhao, Xiaojun Ye, Shuo Feng, Teng Wang, Tao Bai:
Conditional Analysis for Key-Value Data with Local Differential Privacy. CoRR abs/1907.05014 (2019) - [i28]Yutao Jiao, Ping Wang, Dusit Niyato, Jun Zhao, Bin Lin, Dong In Kim:
Task Allocation and Mobile Base Station Deployment in Wireless Powered Spatial Crowdsourcing. CoRR abs/1907.08927 (2019) - [i27]Jun Zhao, Jing Tang, Zengxiang Li, Huaxiong Wang, Kwok-Yan Lam, Kaiping Xue:
An Analysis of Blockchain Consistency in Asynchronous Networks: Deriving a Neat Bound. CoRR abs/1909.06587 (2019) - [i26]Huy T. Nguyen, Nguyen Cong Luong, Jun Zhao, Chau Yuen, Dusit Niyato:
Resource Allocation in Mobility-Aware Federated Learning Networks: A Deep Reinforcement Learning Approach. CoRR abs/1910.09172 (2019) - [i25]Huimei Han, Jun Zhao, Dusit Niyato, Marco Di Renzo, Quoc-Viet Pham:
Intelligent Reflecting Surface Aided Network: Power Control for Physical-Layer Broadcasting. CoRR abs/1910.14383 (2019) - [i24]Jun Zhao:
Secure Connectivity of Wireless Sensor Networks Under Key Predistribution with on/off Channels. CoRR abs/1911.00745 (2019) - [i23]Jun Zhao:
Relations among different privacy notions. CoRR abs/1911.00761 (2019) - [i22]Jun Zhao:
Adaptive Statistical Learning with Bayesian Differential Privacy. CoRR abs/1911.00765 (2019) - [i21]Jun Zhao, Osman Yagan, Virgil D. Gligor:
On Connectivity and Robustness in Random Intersection Graphs. CoRR abs/1911.01822 (2019) - [i20]Wubing Chen, Zhiying Xu, Shuyu Shi, Yang Zhao, Jun Zhao:
A Survey of Blockchain Applications in Different Domains. CoRR abs/1911.02013 (2019) - [i19]Muhammad Baqer Mollah, Jun Zhao, Dusit Niyato, Kwok-Yan Lam, Xin Zhang, Amer M. Y. M. Ghias, Leong Hai Koh, Lei Yang:
Blockchain for Future Smart Grid: A Comprehensive Survey. CoRR abs/1911.03298 (2019) - [i18]Jun Zhao, Junshan Zhang:
Preserving privacy enables "co-existence equilibrium" of competitive diffusion in social networks. CoRR abs/1911.05492 (2019) - [i17]Jun Zhao, Teng Wang, Tao Bai, Kwok-Yan Lam, Xuebin Ren, Xinyu Yang, Shuyu Shi, Yang Liu, Han Yu:
Reviewing and Improving the Gaussian Mechanism for Differential Privacy. CoRR abs/1911.12060 (2019) - [i16]Helin Yang, Arokiaswami Alphones, Zehui Xiong, Dusit Niyato, Jun Zhao, Kaishun Wu:
Artificial Intelligence-Enabled Intelligent 6G Networks. CoRR abs/1912.05744 (2019) - [i15]Zhiying Xu, Shuyu Shi, Alex X. Liu, Jun Zhao, Lin Chen:
An Adaptive and Fast Convergent Approach to Differentially Private Deep Learning. CoRR abs/1912.09150 (2019) - 2018
- [i14]Jiawen Kang, Zehui Xiong, Dusit Niyato, Dongdong Ye, Dong In Kim, Jun Zhao:
Towards Secure Blockchain-enabled Internet of Vehicles: Optimizing Consensus Management Using Reputation and Contract Theory. CoRR abs/1809.08387 (2018) - 2016
- [i13]Ran Liu, Chau Yuen, Jun Zhao, Jindong Guo, Ronghong Mo, Vishesh N. Pamadi, Xiang Liu:
Selective AP-sequence Based Indoor Localization without Site Survey. CoRR abs/1603.06719 (2016) - 2015
- [i12]Jun Zhao, Osman Yagan, Virgil D. Gligor:
Threshold Functions in Random s-Intersection Graphs. CoRR abs/1502.00395 (2015) - [i11]Jun Zhao, Osman Yagan, Virgil D. Gligor:
k-Connectivity of Random Key Graphs. CoRR abs/1502.00400 (2015) - [i10]Jun Zhao, Osman Yagan, Virgil D. Gligor:
Monotone Increasing Properties and Their Phase Transitions in Uniform Random Intersection Graphs. CoRR abs/1502.00405 (2015) - [i9]Jun Zhao, Osman Yagan, Virgil D. Gligor:
Random intersection graphs and their applications in security, wireless communication, and social networks. CoRR abs/1504.03161 (2015) - [i8]Jun Zhao, Osman Yagan, Virgil D. Gligor:
Connectivity in Secure Wireless Sensor Networks under Transmission Constraints. CoRR abs/1508.00545 (2015) - [i7]Jun Zhao:
On connectivity in a general random intersection graph. CoRR abs/1508.03890 (2015) - 2014
- [i6]Faruk Yavuz, Jun Zhao, Osman Yagan, Virgil D. Gligor:
Towards $k$-connectivity of the random graph induced by a pairwise key predistribution scheme with unreliable links. CoRR abs/1405.5193 (2014) - [i5]Jun Zhao, Osman Yagan, Virgil D. Gligor:
On Topological Properties of Wireless Sensor Networks under the q-Composite Key Predistribution Scheme with On/Off Channels. CoRR abs/1408.5082 (2014) - [i4]Jun Zhao, Osman Yagan, Virgil D. Gligor:
On the strengths of connectivity and robustness in general random intersection graphs. CoRR abs/1409.5995 (2014) - [i3]Jun Zhao, Osman Yagan, Virgil D. Gligor:
On $k$-connectivity and minimum vertex degree in random $s$-intersection graphs. CoRR abs/1409.6021 (2014) - [i2]Jun Zhao, Osman Yagan, Virgil D. Gligor:
On asymptotically exact probability of $k$-connectivity in random key graphs intersecting Erdős-Rényi graphs. CoRR abs/1409.6022 (2014) - 2012
- [i1]Jun Zhao, Osman Yagan, Virgil D. Gligor:
k-Connectivity in Secure Wireless Sensor Networks with Physical Link Constraints - The On/Off Channel Model. CoRR abs/1206.1531 (2012)
Coauthor Index
[j118] [j106] [j103] [j99] [j97] [j90] [j88] [j85] [j81] [j76] [j74] [j73] [j72] [j58] [j55] [j48] [j46] [j43] [j42] [j41] [j39] [j38] [j33] [c114] [c113] [c99] [c86] [c77] [c74] [c72] [c68] [c61] [c59] [c57] [c48] [c44] [c34] [i141] [i138] [i135] [i133] [i125] [i114] [i112] [i111] [i110] [i109] [i107] [i97] [i96] [i95] [i93] [i91] [i88] [i82] [i77] [i61] [i55] [i53] [i46] [i43] [i40] [i37] [i27] [i19] [i17]
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