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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.dagstuhl.de/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
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2020 – today
- 2024
[j87]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)- [j86]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) - [j85]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) - [j84]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) - [j83]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) - [j82]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) - [j81]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) - [j80]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) - [c95]Renyang Liu, Wei Zhou, Sixing Wu, Jun Zhao, Kwok-Yan Lam:
SSTA: Salient Spatially Transformed Attack. ICASSP 2024: 5910-5914 - [i124]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) - [i123]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) - [i122]Tinghao Zhang, Kwok-Yan Lam, Jun Zhao:
Device Scheduling and Assignment in Hierarchical Federated Learning for Internet of Things. CoRR abs/2402.02506 (2024) - [i121]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) - [i120]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) - [i119]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) - [i118]Liangxin Qian, Jun Zhao:
Parameter Training Efficiency Aware Resource Allocation for AIGC in Space-Air-Ground Integrated Networks. CoRR abs/2406.13602 (2024) - [i117]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) - 2023
- [j79]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) - [j78]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) - [j77]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) - [j76]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) - [j75]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) - [j74]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) - [j73]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) - [j72]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) - [j71]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) - [j70]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) - [j69]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) - [c94]Yidong Lu, Jun Zhao:
Reconfigurable Intelligent Surface aided Wireless Powered Mobile Edge Computing. CCNC 2023: 501-507 - [c93]Peiyuan Si, Jun Zhao, Kwok-Yan Lam, Qing Yang:
UAV-Assisted Semantic Communication with Hybrid Action Reinforcement Learning. GLOBECOM 2023: 3801-3806 - [c92]Tao Bai, Chen Chen, Lingjuan Lyu, Jun Zhao, Bihan Wen:
Towards Adversarially Robust Continual Learning. ICASSP 2023: 1-5 - [c91]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 - [c90]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 - [c89]Wenhan Yu, Terence Jie Chua, Jun Zhao:
Virtual Reality in Metaverse Over Wireless Networks with User-Centered Deep Reinforcement Learning. ICC 2023: 6639-6644 - [c88]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 - [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]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 - [i116]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) - [i115]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) - [i114]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) - [i113]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) - [i112]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) - [i111]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) - [i110]Terence Jie Chua, Wenhan Yu, Jun Zhao:
Detection of Uncertainty in Exceedance of Threshold (DUET): An Adversarial Patch Localizer. CoRR abs/2303.10291 (2023) - [i109]Tao Bai, Chen Chen, Lingjuan Lyu, Jun Zhao, Bihan Wen:
Towards Adversarially Robust Continual Learning. CoRR abs/2303.17764 (2023) - [i108]Jun Zhao, Liangxin Qian, Wenhan Yu:
Human-Centric Resource Allocation in the Metaverse over Wireless Communications. CoRR abs/2304.00355 (2023) - [i107]Wenhan Yu, Jun Zhao:
Semantic communications, semantic edge computing, and semantic caching. CoRR abs/2304.08096 (2023) - [i106]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) - [i105]Wenhan Yu, Jun Zhao:
Heterogeneous 360 Degree Videos in Metaverse: Differentiated Reinforcement Learning Approaches. CoRR abs/2308.04083 (2023) - [i104]Tinghao Zhang, Kwok-Yan Lam, Jun Zhao:
User Assignment and Resource Allocation for Hierarchical Federated Learning over Wireless Networks. CoRR abs/2309.09253 (2023) - [i103]Peiyuan Si, Jun Zhao, Kwok-Yan Lam, Qing Yang:
UAV-assisted Semantic Communication with Hybrid Action Reinforcement Learning. CoRR abs/2309.16713 (2023) - [i102]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) - [i101]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) - [i100]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) - [i99]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) - [i98]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) - [i97]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) - [i96]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) - [i95]Chang Liu, Terence Jie Chua, Jun Zhao:
Optimization for the Metaverse over Mobile Edge Computing with Play to Earn. CoRR abs/2312.05871 (2023) - [i94]Renyang Liu, Wei Zhou, Sixin Wu, Jun Zhao, Kwok-Yan Lam:
SSTA: Salient Spatially Transformed Attack. CoRR abs/2312.07258 (2023) - 2022
- [j68]Donghaisheng Liu, Shoudong Han, Yang Chen, Chenfei Xia, Jun Zhao:
Foreground-guided textural-focused person re-identification. Neurocomputing 483: 235-248 (2022) - [j67]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) - [j66]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) - [j65]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) - [j64]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) - [j63]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) - [j62]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) - [j61]Ziqing Yang, Shoudong Han, Jun Zhao:
Poisson kernel: Avoiding self-smoothing in graph convolutional networks. Pattern Recognit. 124: 108443 (2022) - [j60]Jun Zhao:
On Secure Communication in Sensor Networks Under q-Composite Key Predistribution With Unreliable Links. IEEE Trans. Commun. 70(2): 1085-1095 (2022) - [j59]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) - [j58]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) - [j57]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) - [j56]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) - [j55]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) - [j54]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) - [j53]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) - [j52]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) - [j51]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) - [c82]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 - [c81]Yitong Wang, Jun Zhao:
A Survey of Mobile Edge Computing for the Metaverse: Architectures, Applications, and Challenges. CIC 2022: 1-9 - [c80]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 - [c79]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 - [c78]Xinyu Zhou, Jun Zhao, Huimei Han, Claude Guet:
Joint Optimization of Energy Consumption and Completion Time in Federated Learning. ICDCS 2022: 1005-1017 - [c77]Chang Liu, Terence Jie Chua, Jun Zhao:
Time Minimization in Hierarchical Federated Learning. SEC 2022: 96-106 - [c76]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 - [c75]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 - [c74]Qiao Han, Jun Zhao, Kwok-Yan Lam:
Facial Landmark Predictions with Applications to Metaverse. WF-IoT 2022: 1-6 - [c73]Yitong Wang, Jun Zhao:
Mobile Edge Computing, Metaverse, 6G Wireless Communications, Artificial Intelligence, and Blockchain: Survey and Their Convergence. WF-IoT 2022: 1-8 - [i93]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) - [i92]Ziyao Liu, Jiale Guo, Kwok-Yan Lam, Jun Zhao:
Efficient Dropout-resilient Aggregation for Privacy-preserving Machine Learning. CoRR abs/2203.17044 (2022) - [i91]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) - [i90]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) - [i89]Yitong Wang, Jun Zhao:
Mobile Edge Computing, Metaverse, 6G Wireless Communications, Artificial Intelligence, and Blockchain: Survey and Their Convergence. CoRR abs/2209.14147 (2022) - [i88]Qiao Han, Jun Zhao, Kwok-Yan Lam:
Facial Landmark Predictions with Applications to Metaverse. CoRR abs/2209.14698 (2022) - [i87]Xinyu Zhou, Jun Zhao, Huimei Han, Claude Guet:
Joint Optimization of Energy Consumption and Completion Time in Federated Learning. CoRR abs/2209.14900 (2022) - [i86]Chang Liu, Terence Jie Chua, Jun Zhao:
Time Minimization in Hierarchical Federated Learning. CoRR abs/2210.04689 (2022) - [i85]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) - [i84]Xinyu Zhou, Chang Liu, Jun Zhao:
Resource Allocation of Federated Learning for the Metaverse with Mobile Augmented Reality. CoRR abs/2211.08705 (2022) - [i83]Yitong Wang, Jun Zhao:
A Survey of Mobile Edge Computing for the Metaverse: Architectures, Applications, and Challenges. CoRR abs/2212.00481 (2022) - [i82]Chang Liu, Yitong Wang, Jun Zhao:
Mobile Edge Computing for the Metaverse. CoRR abs/2212.09229 (2022) - [i81]Terence Jie Chua, Wenhan Yu, Jun Zhao:
Unified, User and Task (UUT) Centered Artificial Intelligence for Metaverse Edge Computing. CoRR abs/2212.09295 (2022) - [i80]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) - [i79]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
- [j50]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) - [j49]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) - [j48]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) - [j47]