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Biography. This is Jun Zhao, an Assistant Professor in the College of Computing and Data Science (CCDS) - formerly known as the School of Computer Science and Engineering (SCSE) at Nanyang Technological University (NTU) in Singapore.
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Journal. 2024/2023. [1] Liangxin Qian, Chang Liu, and Jun...
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Projects - Jun Zhao's Group
- Students
Yang Zhao (2018.08 – 2021.09), Current Position: Scientist,...
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Jun Zhao is an Assistant Professor in the School of Computer Science and Engineering (SCSE) at Nanyang Technological University (NTU).
2020. Articles 1–20. Assistant Professor, College of Computing and Data Science (CCDS) - Cited by 9,461 - Quantum Computing - Wireless Communications - Security&Privacy...
Highlights of NTU Professor Jun ZHAO: • 第一个博士生3年1个月完成博士学习：My first PhD Student started her NTU PhD study in August 2018 and submitted her thesis in September 2021; i.e., it just took 3 years and 1 month to finish her PhD study. • 第二个博士生3年3个月完成博士学习：My second PhD Student (with ...
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- 2016 & Previous
Wenhan Yu, Liangxin Qian, Terence Chua, and Jun Zhao, “Counterfactual Reward Estimation for Credit Assignment in Multi-agent Deep Reinforcement Learning over Wireless Video Transmission,” in IEEE ICDCS, 2024. Chang Liu, Terence Jie Chua, and Jun Zhao, “Optimization for the Metaverse over Mobile Edge Computing with Play to Earn,” in IEEE INFOCOM, 20...
Jun Zhao, Xinyu Zhou, Yang Li, and Liangxin Qian, “Optimizing Utility-Energy Efficiency for the Metaverse over Wireless Networks under Physical Layer Security,” in ACM MobiHoc, 2023. Available:https://doi.org/10.1145/3565287.3610271 Xinyu Zhou, Yang Li, and Jun Zhao,“Resource Allocation of Federated Learning Assisted Mobile AugmentedReality System ...
Xinyu Zhou, Jun Zhao, Huimei Han, and Claude Guet, “Joint optimization of energy consumption and completion time in federated learning,” in 2022 IEEE 42nd International Conference on Distributed Computing Systems (ICDCS), 2022, pp. 1005–1017. Available: https://arxiv.org/abs/2209.14900 Wenchao Zhai, Shuailei Zhu, HuimeiHan, and Jun Zhao, “Reconfigu...
Tao Bai, Jinqi Luo, Jun Zhao,Bihan Wen, and Qian Wang, “Recent advances in adversarial training foradversarial robustness,” in The 30th International Joint Conference onArtificial Intelligence (IJCAI), 2021, pp. 4312–4321. Available:https://arxiv.org/abs/2102.01356 Helin Yang, Kwok-Yan Lam,Jiangtian Nie, Jun Zhao, Sahil Garg, Liang Xiao, Zehui Xion...
Jun Zhao, Jing Tang, Zengxiang Li,Huaxiong Wang, Kwok-Yan Lam, and Kaiping Xue, “An analysis of blockchainconsistency in asynchronous networks: Deriving a neat bound,” in 2020IEEE 40th International Conference on Distributed Computing Systems(ICDCS), 2020, pp. 179–189. Available:https://arxiv.org/abs/1909.06587 Zhiying Xu, Shuyu Shi, Alex X.Liu, Ju...
Ning Wang, Xiaokui Xiao, Yin Yang,Jun Zhao, Siu Cheung Hui, Hyejin Shin, Junbum Shin, and Ge Yu,“Collecting and analyzing multidimensional data with local differentialprivacy,” in 2019 IEEE 35th International Conference on DataEngineering (ICDE), 2019, pp. 638–649. Available:https://arxiv.org/abs/1907.00782 Shuyu Shi, Yaxiong Xie, Mo Li,Alex X. Liu...
Jun Zhao, “Analyzing therobustness of deep learning against adversarial examples,” in 2018 56thAnnual Allerton Conference on Communication, Control, and Computing(Allerton), 2018, pp. 1060–1064. Available:https://ieeexplore.ieee.org/document/8636048 Wubing Chen, Zhiying Xu, ShuyuShi, Yang Zhao, and Jun Zhao, “A survey of blockchain applications ind...
Jun Zhao, “Secure connectivity ofwireless sensor networks under key predistribution with on/offchannels,” in 2017 IEEE 37th International Conference on DistributedComputing Systems (ICDCS), 2017, pp. 889–899. Available:https://arxiv.org/abs/1911.00745 Jun Zhao, “Modeling interest-basedsocial networks: Superimposing Erdos-Renyi graphs overrandom int...
Jun Zhao, “A comprehensiveguideline for choosing parameters in the Eschenauer-Gligor keypredistribution,” in 2016 54th Annual Allerton Conference onCommunication, Control, and Computing (Allerton), 2016, pp. 1267–1273.Available: https://ieeexplore.ieee.org/document/7852380 Faruk Yavuz, Jun Zhao, OsmanYağan, and Virgil Gligor, “Designing secure and ...
Jun ZHAO, Professor (Assistant) | Cited by 6,947 | of Nanyang Technological University, Singapore (ntu) | Read 344 publications | Contact Jun ZHAO
Welcome to my personal website! My name is Jun Zhao (I also go by Bean). I am currently an assistant professor of Economics in the Department of Economics at York University, Toronto, Canada.
