Assistant Professor Department of Computer Science and Engineering Research Group
ZHENG Tianyue is an Assistant Professor in the Department of Computer Science and Engineering at Southern University of Science and Technology. He is also a doctoral supervisor. He obtained his Ph.D. degree from Nanyang Technological University in Singapore, master's degree from the University of Toronto in Canada, and bachelor's degree from Harbin Institute of Technology in China. His research mainly focuses on mobile computing, pervasive computing, wireless sensing, sensing security, federated learning, and autonomous driving. He has published multiple papers in top-tier conferences and journals such as ACM MobiCom, CCS, UbiComp, SenSys, IEEE TMC, JSAC, ICCV, and INFOCOM. He serves as TPC/AEC member and reviewer for several top-tier conferences and journals.
Personal Profile
Research
Mobile computing, pervasive computing, wireless sensing, sensing security, federated learning, and autonomous driving.
Publications Read More
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M2-Fi: Multi-person Respiration Monitoring via Handheld WiFi Devices
Jingyang Hu, Hongbo Jiang, Tianyue Zheng, Jingzhi Hu, Hongbo Wang, Hangcheng Cao, Zhe Chen and Jun Luo
in Proc. of the 43rd IEEE INFOCOM, 2024, pp. 1–10.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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MuKI-Fi: Multi-person Keystroke Inference with BFI-enabled Wi-Fi Sensing
Hongbo Wang, Jingyang Hu, Tianyue Zheng, Jingzhi Hu, Zhe Chen, Hongbo Jiang, Yuanjin Zheng and Jun Luo
IEEE Transactions on Mobile Computing, pp. 1–14, 2024.
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Jingzhi Hu, Zhe Chen, Tianyue Zheng, Robert Schober, and Jun Luo,
IEEE Journal on Selected Areas in Communications, pp. 1–32, 2023.
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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.
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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.
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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.
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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.
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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.
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Adv-4-Adv: Thwarting Changing Adversarial Perturbations via Adversarial Domain Adaptation
Tianyue Zheng, Zhe Chen, Shuya Ding, Chao Cai, and Jun Luo
Neurocomputing, 2024.