郑天越

教师主页 团队成员 科研项目 研究领域 学术成果 教学 科研分享 新闻动态 疼痛医学中心 成果介绍 软件 毕业去向 加入我们 联系我们 郑天越 Google Scholar 助理教授 计算机科学与工程系   课题组网站 郑天越，南方科技大学计算机科学与工程系助理教授，博士生导师。在新加坡南洋理工大学获得博士学位，加拿大多伦多大学获得硕士学位，哈尔滨工业大学获得学士学位。主要从事移动计算、普适计算、无线感知、感知安全、联邦学习与自动驾驶等方向的研究。在ACM MobiCom, CCS, UbiComp, SenSys, IEEE TMC, JSAC, ICCV, INFOCOM等国际顶级会议和期刊发表多篇论文。担任多个顶级国际会议和期刊的学术委员会成员和审稿人。 个人简介 个人简介 研究领域 移动计算、普适计算、无线感知、感知安全、联邦学习与自动驾驶。 学术成果 查看更多 （*共同一作） 会议论文   Password-Stealing without Hacking: Wi-Fi Enabled Practical Keystroke Eavesdropping (research full paper, acceptance rate: ***/**** [15%]) Jingyang Hu, Hongbo Wang, Tianyue Zheng, Jingzhi Hu, Zhe Chen, and Jun Luo, in Proc. of the 30th ACM CCS, 2023, pp. 1–14. MUSE-Fi: Contactless MUti-person SEnsing Exploiting Near-field Wi-Fi Channel Variation (research full paper, acceptance rate: ***/**** [**%]) Jingzhi Hu*, Tianyue Zheng*, Zhe Chen, Hongbo Wang, and Jun Luo, in Proc. of the 29th ACM MobiCom, 2023, pp. 1–12. OCHID-Fi: Occlusion-Robust Hand Pose Estimation in 3D via RF-Vision (research full paper, acceptance rate: ***/**** [**%]) Shujie Zhang*, Tianyue Zheng*, Zhe Chen, Jingzhi Hu, Abdelwahed Khamis, Jiajun Liu, and Jun Luo, in Proc. of IEEE/CVF ICCV, 2023, pp. 1–10. AutoFed: Heterogeneity-Aware Federated Multimodal Learning for Robust Autonomous Driving (research full paper, acceptance rate: ***/**** [**%]) Tianyue Zheng, Ang Li, Zhe Chen, Hongbo Wang, and Jun Luo, in Proc. of the 29th ACM MobiCom, 2023, pp. 1–12. Wider is Better? Contact-free Vibration Sensing via Different COTS-RF Technologies (research full paper, acceptance rate: 225/1129 [20%]) Zhe Chen, Tianyue Zheng, Chao Cai, and Jun Luo, in Proc. of the 42nd IEEE INFOCOM, 2023, pp. 1–10. Quantifying the Physical Separability of RF-based Multi-Person Respiration Monitoring via SINR Shujie Zhang*, Tianyue Zheng*, Hongbo Wang, Yanbing Yang, Zhe Chen, and Jun Luo in Proc. of the 20th ACM SenSys, 2022, pp. 47–60. Integrating Monostatic Sensing with Communication for IoT Zhe Chen, Tianyue Zheng, Chao Hu, Hangcheng Cao, Yanbing Yang, Hongbo Jiang, and Jun Luo in Proc. of the 1st ACM MobiCom Workshop on Integrated Sensing and Communications Systems, 2022, pp. 43–48. CORE-Lens: Simultaneous Communication and Object REcognition with Disentangled-GAN Cameras (research full paper, acceptance rate: 225/1129 [20%]) Ziwei Liu, Tianyue Zheng*, Chao Hu, Yanbing Yang, Yimiao Sun, Yi Zhang, Zhe Chen, Liangyin Chen, and Jun Luo in Proc. of the 28th ACM MobiCom, 2022, pp. 1–14. Sound of Motion: Real-Time Wrist Tracking with A Smart Watch-Phone Pair (research full paper, acceptance rate: 225/1129 [20%]) Tianyue Zheng, Cai Chao, Zhe Chen, and Jun Luo in Proc. of the 41st IEEE INFOCOM, 2021, pp. 1–10. Can We Obtain Fine-Grained Heartbeat Waveform via Contact-Free RF-Sensing? (research full paper, acceptance rate: 225/1129 [20%]) Shujie Zhang, Tianyue Zheng, Zhe Chen, and Jun Luo in Proc. of the 41st IEEE INFOCOM, 2021, pp. 1–10. MoRe-Fi: Motion-Robust and Fine-Grained Respiration Monitoring via Deep-Learning UWB Radar (research full paper, acceptance rate: 25/139 [18%]) Tianyue Zheng, Zhe Chen, Shujie Zhang, Chao Cai, and Jun Luo in Proc. of the 19th ACM SenSys, 2021, pp. 1–14. SiWa: See into Walls via Deep UWB Radar (research full paper, acceptance rate: 60/300 [20%]) Tianyue Zheng*, Zhe Chen*, Jun Luo, Lin Ke, Chaoyang Zhao, and Yaowen Yang in Proc. of the 27th ACM MobiCom, 2021, pp. 323–336. Octopus: A Practical and Versatile Wideband MIMO Sensing Platform (research full paper, acceptance rate: 60/300 [20%]) Zhe Chen*, Tianyue Zheng*, and Jun Luo in Proc. of the 27th ACM MobiCom, 2021, pp. 601–614. MoVi-Fi: Motion-Robust Vital Signs Waveform Recovery via Deep Interpreted RF Sensing (research full paper, acceptance rate: 60/300 [20%]) Zhe Chen*,Tianyue Zheng*, Chao Cai, and Jun Luo in Proc. of the 27th ACM MobiCom, 2021, pp. 392–405. RF-Net: A Unified Meta-Learning Framework for RF-Enabled One-Shot Human Activity Recognition (research full paper, acceptance rate: 43/213 [20%]) Shuya Ding, Zhe Chen, Tianyue Zheng, and Jun Luo in Proc. of the 18th ACM SenSys, pp. 517–530. V2iFi: In-Vehicle Vital Sign Monitoring via Compact RF Sensing Tianyue Zheng*, Zhe Chen*, Chao Cai, Jun Luo, and Xu Zhang in Proc. of the 20th ACM UbiComp, pp. 1-27.   期刊论文   HoloFed: Environment-Adaptive Positioning via Multi-band Reconfigurable Holographic Surfaces and Federated Learning Jingzhi Hu, Zhe Chen, Tianyue Zheng, Robert Schober, and Jun Luo, IEEE Journal on Selected Areas in Communications, pp. 1–32, 2023. ISACoT: Integrating Sensing with Data Traffic for Ubiquitous IoT Devices Zhe Chen, Tianyue Zheng, Chao Hu, Hangcheng Cao, Yanbing Yang, Hongbo Jiang, and Jun Luo IEEE Communications Magazine, pp. 1–6, 2022. HandKey: Knocking-triggered Robust Vibration Signature for Keyless Unlocking Hangcheng Cao, Daibo Liu, Hongbo Jiang, Chao Cai, Tianyue Zheng, John C. S. Lui, and Jun Luo IEEE Transactions on Mobile Computing, pp. 1–14, 2022. Catch Your Breath: Simultaneous RF Tracking and Respiration Monitoring with Radar Pairs Tianyue Zheng, Zhe Chen, Shujie Zhang, and Jun Luo IEEE Transactions on Mobile Computing, pp. 1–14, 2022. RF-Based Human Activity Recognition Using Signal Adapted Convolutional Neural Network Zhe Chen, Chao Cai, Tianyue Zheng, Jun Luo, Jie Xiong, and Xin Wang IEEE Transactions on Mobile Computing, pp. 1–1, 2021. Enhancing RF Sensing with Deep Learning: A Layered Approach Tianyue Zheng, Zhe Chen, Shuya Ding, and Jun Luo IEEE Communications Magazine, pp. 70–76, 2021.   加入团队 课题组有博士、博士后以及科研助理岗位空缺。欢迎CS（计算机科学、软件工程、智能科学与技术），EE（通信工程、电子信息工程、电磁场与微波技术、信息工程），以及其他交叉科学背景的同学联系郑老师（发送邮件至zhengty@sustech.edu.cn）。课题组重视学生的个人发展与学术成就，将会提供严谨的学术训练，也鼓励每位同学挑战顶级学术会议。课题组与海外高校保持良好的合作关系，优秀者可被推荐出国访问交流和继续攻读。课题组强调师生之间的交流与互动。每周，我们都会安排面对面的指导时间，欢迎探讨学术问题和分享自己的想法和见解。 Fully-funded Ph.D., postdoctoral fellow, and research assistant positions are immediately available at the WiSX group. Interested candidates can send their CV and transcript to zhengty@sustech.edu.cn. Successful candidate will be supervised by Dr. Zheng Tianyue. The candidate will conduct research on AIoT, mobile computing, sensing security, and autonomous driving.  查看更多 联系我们 联系地址 工学楼南楼612 办公电话 13164786626 电子邮箱 zhengty@sustech.edu.cn