Hello! I’m a Ph.D. candidate in the Department of Computer Science and Engineering at Michigan State University, working in the INSS lab, under the supervision of Dr. Huacheng Zeng. My research areas include wireless networking and sensing, mobile computing, and artificial intelligence.

Previously, I reveived my B.Eng. degree from Beijing Univeristy of Technology and M.Eng. degree from Cornell University.

Publications

RadSee: See Your Handwriting Through Walls Using 6GHz FMCW Radar [PDF]
Shichen Zhang, Qijun Wang, Maolin Gan, Zhichao Cao and Huacheng Zeng
NDSS Symposium 2025 [Acceptance rate: 19.8%]

SiWiS: Fine-grained Human Detection Using Single WiFi Device [PDF]
Kunzhe Song, Qijun Wang, Shichen Zhang, and Huacheng Zeng
ACM MobiCom 2024 [Acceptance rate: 19.1%]

Structured Reinforcement Learning for Delay-Optimal Data Transmission in Dense mmWave Networks [PDF]
Shufan Wang, Guojun Xiong, Shichen Zhang, Huacheng Zeng, Jian Li, and Shivendra Panwar
IEEE Transactions on Wireless Communications,2024

Is Driver on Phone Call? Mobile Device Localization Using Cellular Signal [PDF]
Shichen Zhang, Huacheng Zeng, and Y. Thomas Hou
IEEE Journal on Selected Areas in Communications, vol. 42, no. 9, pp. 2339-2353, Sept. 2024.

TBP: Temporal Beam Prediction for Mobile Millimeter-Wave Networks [PDF]
Shichen Zhang, Qiben Yan, Tianxing Li, Li Xiao, and Huacheng Zeng
IEEE Internet of Things Journal, vol. 11, no. 14, pp. 24960-24972, July 2024.

mReader: Concurrent UHF RFID Tag Reading [PDF]
Hossein Pirayesh, Shichen Zhang, and Huacheng Zeng
ACM MobiHoc 2023 [Acceptance rate: 21.9%]

Realizing Uplink MU-MIMO Communication in mmWave WLANs: Bayesian Optimization and Asynchronous Transmission [PDF] | [VIDEO]
Shichen Zhang, Bo Ji, Kai Zeng, and Huacheng Zeng
IEEE Infocom 2023 [Acceptance rate: 19.2%]

CF4FL: A Communication Framework for Federated Learning in Transportation Systems [PDF]
Pedram Kheirkhah Sangdeh, Chengzhang Li, Hossein Pirayesh, Shichen Zhang, Huacheng Zeng, and Y. Thomas Hou
IEEE Transactions on Wireless Communications, vol. 22, no. 6, pp. 3821-3836, June 2023.

MaLoRaGW: Multi-User MIMO Transmission for LoRa [PDF]
Hossein Pirayesh, Shichen Zhang, Pedram Kheirkhah Sangdeh, and Huacheng Zeng
ACM SenSys 2022

AuthIoT: A Transferable Wireless Authentication Scheme for IoT Devices Without Input Interface [PDF]
Shichen Zhang, Pedram Kheirkhah Sangdeh, Hossein Pirayesh, Huacheng Zeng, Qiben Yan, and Kai Zeng
IEEE Internet of Things Journal, vol. 9, no. 22, pp. 23072-23085, Nov. 2022.

JammingBird: Jamming-resilient Communications for Vehicular Ad Hoc Networks [PDF]
Hossein Pirayesh, Pedram Kheirkhah Sangdeh, Shichen Zhang, Qiben Yan, and Huacheng Zeng
IEEE SECON 2021

Project Demo

Radio Sensing: Heartbeat and breathing rate detection using 6GHz FMCW radar
Ubiquitous sensing technologies enable smart home environments to monitor individuals’ health status in their daily lives. In this project, we developed a 6 GHz FMCW radar system capable of measuring heartbeat and breathing rate in a contactless manner. Our system leverages the fact that radio signals are influenced by inhaling and exhaling motions, as well as the skin vibrations caused by heartbeats. The accompanying video demonstrates our system’s ability to measure heartbeats and breathing rates in real time. The key features of our design include:

• Real-time measurement of heartbeat and breathing rate
• Integrated hardware and software design
• Dedicated signal processing pipeline

Uplink MU-MIMO mmWave real-time Communication [IEEE Infocom 2023]
With the rapid proliferation of mobile devices, the marriage of millimeter-wave (mmWave) and MIMO technologies is a natural trend to meet the communication demand of data-hungry applications. Following this trend, mmWave multi-user MIMO (MU-MIMO) has been standardized by the IEEE 802.11ay for its downlink to achieve multi-Gbps data rate. Yet, its uplink counterpart has not been well studied, and its way to wireless local area networks (WLANs) remains unclear. In this project, we present a practical uplink MU-MIMO mmWave communication (UMMC) scheme for WLANs. UMMC has two key components:

• An efficient Bayesian optimization (BayOpt) framework for joint beam search over multiple directional antennas
• A new MU-MIMO detector that can decode asynchronous data packets from multiple user devices