School of Computer Science at Peking University

Bio

I am a fifth-year Ph.D. candidate in the School of Computer Science at Peking University, advised by Prof. Daqing Zhang. I am expected to graduate in June 2026, and I welcome inquiries regarding potential academic or industry positions. I received my B.S. degree from Northwestern Polytechnical University in 2021.

Research Interests

My research interests lie in ubiquitous computing, mobile computing, and wireless sensing. I specialize in leveraging mmWave radar for the accurate and non-invasive sensing of human activity and physiological signals, with extensive experience in both micro (respiration, heartbeat) and macro-motion (fall detection, activity recognition, pose estimation) analysis. Building on this foundation, my current work explores the application of Large Language Models (LLMs) to interpret and reason with the mmWave modality. I am also keenly interested in extending these advanced sensing capabilities to enhance perception in robotics and autonomous driving.

News

• Sep 2025 Two papers accepted at ACM UbiComp/IMWUT 2026
• Sep 2025 One paper accepted at IEEE JSAC
• July 2025 One paper accepted at UbiComp/IMWUT 2025
• May 2025 One paper accepted at UbiComp/IMWUT 2025
• Feb 2025 One paper accepted at IEEE TMC

Awards

• Nov 2025 Ten Outstanding Academics of the School of Computer Science, Peking University
• Nov 2025 SDP Sensing Challenge 1st Place @ MobiCom 2025
• Oct 2024 National Scholarship

Professional Service

• Reviewer, ACM UbiComp/IMWUT (2024, 2025)
• Artifacts Evaluation Committee, ACM MobiCom (2025)
• Reviewer, IEEE Transactions on Mobile Computing (2025)
• Reviewer, ACM Transactions on Computing for Healthcare (2025)
• Reviewer, ACM CHI (2024)

Selected Publications

You can also find my articles on my Google Scholar profile.

• LT-Fall: The Design and Implementation of a Life-threatening Fall Detection and Alarming System
  Duo Zhang, Xusheng Zhang, Shengjie Li, Yaxiong Xie, Yang Li, Xuanzhi Wang, Daqing Zhang
  ACM IMWUT Vol. 7/UbiComp 2023
• LoCal: An Automatic Location Attribute Calibration Approach for Large-Scale Deployment of mmWave-based Sensing Systems
  Duo Zhang, Xusheng Zhang, Yaxiong Xie, Fusang Zhang, Xuanzhi Wang, Yang Li, Daqing Zhang
  ACM IMWUT Vol. 7/UbiComp 2024
• Breaking the Resolution Barriers of mmWave Arrays via Null Steering for Sleep Monitoring in Multi-Person Scenarios
  Duo Zhang, Xusheng Zhang, Zhehui Yin, Pengfei Zhou, Hongliu Yang, Pei Wang, Zhiyun Yao, Junzhe Wang, Fusang Zhang, Daqing Zhang
  ACM IMWUT Vol. 9/UbiComp 2025
• From Single-Point to Multi-Point Reflection Modeling: Robust Vital Signs Monitoring via mmWave Sensing
  Duo Zhang, Xusheng Zhang, Yaxiong Xie, Fusang Zhang, Hongliu Yang, Daqing Zhang
  IEEE Transactions on Mobile Computing, Vol. 23, No. 12
• mmRotation: Unlocking Versatility of a Single mmWave Radar via Azimuth Panning and Elevation Tilting
  Duo Zhang, Xusheng Zhang, Zhehui Yin, Yaxiong Xie, Hewen Wei, Zhaoxin Chang, Wenwei Li, Daqing Zhang
  IEEE Transactions on Mobile Computing, Vol. 24, No. 7
• Waffle: A Waterproof mmWave-based Human Sensing System inside Bathrooms with Running Water
  Xusheng Zhang, Duo Zhang, Yaxiong Xie, Dan Wu, Yang Li, Daqing Zhang
  ACM IMWUT Vol. 8/UbiComp 2024
• From Spatial Domain to Temporal Domain: Unleashing the Capability of CFAR for mmWave Point Cloud Generation
  Hongliu Yang, Duo Zhang, Xusheng Zhang, Jie Xiong, Zizhou Fan, Wanru Ning, Weiyan Chen, Fusang Zhang, Zijun Han, Daqing Zhang
  ACM IMWUT Vol. 9/UbiComp 2025
• MmECare: Enabling Fine-grained Vital Sign Monitoring for Emergency Care with Handheld MmWave Radars
  Zhaoxin Chang, Fusang Zhang, Xujun Ma, Pei Wang, Weiyan Chen, Duo Zhang, Badii Jouaber, Daqing Zhang
  ACM IMWUT Vol. 8/UbiComp 2025
• WiCG: In-Body Cardiac Motion Sensing Based on a Mix-Medium Wi-Fi Fresnel Zone Model
  Pei Wang, Anlan Yu, Xujun Ma, Rong Zheng, Jingfu Dong, Zhaoxin Chang, Duo Zhang, Djamal Zeghlache, Daqing Zhang
  IEEE Transactions on Mobile Computing, 2025 (Early Access)
• WiCaliper: Simultaneous Material and 3D Size Sensing for Everyday Objects Using WiFi
  Zhiyun Yao, Kai Niu, Xuanzhi Wang, Rong Zheng, Junzhe Wang, Duo Zhang, Daqing Zhang
  IEEE Journal on Selected Areas in Communications, 2025 (Early Access)

Demos

• Human Activity Recognition and Pose Estimation Based on High-Quality mmWave Point Clouds (SDP Sensing Challenge 1st Place @ MobiCom 2025)
• Multi-person mmWave Radar Human Point Cloud Demo (SDP Sensing Challenge 1st Place @ MobiCom 2025)