Shuai Wang


Assistant Professor at Southeast University

Email: swang42@gmu.edu

Email: shuaiwang_iot@seu.edu.cn

Bio

I am currently an Assistant Professor at Southeast University in China. I obtained my Ph.D. from George Mason University (GMU) supervised by Prof. Song Min Kim and Prof. Parth Pathak in Department of Computer Science. Before joining GMU, I received my bachelor and master degrees in Department of Computer Science and Technology at Harbin Institute of Technology (HIT). I also worked with Prof. Tian He and Prof. Song Min Kim in University of Minnesota as a visiting Ph.D. student from Dec. 2015 to Dec. 2016. My research interests include wireless communication, wireless sensing, cross-technology communication [Project Website], wireless networking and embedded system as well as Internet of Things.

News

I have moved to Southeast University: SEU Webpage. This website will still be maintained regularly.

Awards

  • 2024 Outstanding Academic Achievement Department of Computer Science, George Mason University
  • 2024 IEEE Outstanding Leadership Award IEEE International Conference on Data Science and Systems (DSS 2024)
  • 2022 University Gift Award Mitsubishi Electric Reserach Laboratories (MERL)
  • 2019 Travel Grant ACM MobiSys 2019
  • 2018 Best Paper Award IEEE ICDCS 2018

    • Selected
    Publications

    */✉ indicate co-primary/corresponding author

    1. [SenSys'25] UMusic: In-car Occupancy Sensing via High-resolution UWB Power Delay Profile
      Shuai Wang, Yunze Zeng, Vivek Jain, Parth Pathak
      In the 23rd ACM Conference on Embedded Networked Sensor Systems, (46/245 = 18.7% Acceptance Rate)[accepted]
    2. [UbiComp'25/IMWUT] WULoc: Achieving Extremely Long-range High-precision Localization via Wi-Fi-UWB Connection [PDF]
      Kai Sun*, Shuai Wang*, Renjie Zhao, Ruofeng Liu, Weiwei Chen, Zhimeng Yin, Wei Gong, Shuai Wang
    3. [UbiComp'25/IMWUT] mmSpyVR: Exploiting mmWave Radar for Penetrating Obstacles to Uncover Privacy Vulnerability of Virtual Reality [PDF]
      Luoyu Mei, Ruofeng Liu, Zhimeng Yin, Qingchuan Zhao, Wenchao Jiang, Shuai Wang, Shuai Wang✉, Kangjie Lu, Tian He
    4. [SenSys'24] Mission: mmWave Radar Person Identification with RGB Cameras
      Ruofeng Liu, Tianshun Yao, Ruili Shi, Luoyu Mei, Shuai Wang✉, Zhimeng Yin, Wenchao Jiang, Shuai Wang
      In the 22nd ACM Conference on Embedded Networked Sensor Systems, (58/313 = 18.5% Acceptance Rate)[PDF]
    5. [IJCAI'24] ESP-PCT: Enhanced VR Semantic Performance through Efficient Compression of Temporal and Spatial Redundancies in Point Cloud Transformers
      Luoyu Mei, Shuai Wang✉, Yun Cheng✉, Ruofeng Liu, Zhimeng Yin, Wenchao Jiang, Shuai Wang, Wei Gong
      In the 33rd International Joint Conference on Artificial Intelligence, (791/5651 = 13.9% Acceptance Rate)[PDF]
    6. [IPSN'24] Hitting the sweet spot: an SF-any coding paradigm for empowering city-wide LoRa communications
      Weiwei Chen, Jiefeng Zhang, Xianjin Xia, Shuai Wang, Shuai Wang✉, Tian He
      In the 23rd ACM/IEEE International Conference on Information Processing in Sensor Networks, (20/93 = 21.5% Acceptance Rate)[PDF]
    7. [ICNP'24] DeepDetangle: Deep Learning-Based Fusion of Chirp-Level and Packet-Level Features for LoRa Parallel Decoding
      Weiwei Chen, Runze Zhang, Xianjin Xia, Shuai Wang✉, Shuai Wang, Tian He
      In the 32nd IEEE International Conference on Network Protocols, (20/205 = 24.3% Acceptance Rate)[PDF]
    8. [CIKM'24] Behavior-aware Sparse Trajectory Recovery for last-mile delivery with Multi-scale Attention Fusion
      Hai Wang, Shuai Wang, Li Lin, Yu Yang, Shuai Wang✉, Hongkai Wen
      In the 33rd ACM International Conference on Information and Knowledge Management, (103/400 = 25.6% Acceptance Rate)[PDF]
    9. [CIKM'24] DECO: Cooperative Order Dispatching for On-Demand Delivery with Real-Time Encounter Detection
      Yao Lu, Shuai Wang, Yu Yang, Hai Wang, Baoshen Guo, Desheng Zhang, Shuai Wang✉, Tian He
      In the 33rd ACM International Conference on Information and Knowledge Management, (103/400 = 25.6% Acceptance Rate)[PDF]
    10. [TCOM] WiLo: Long-Range Cross-Technology Communication from Wi-Fi to LoRa
      Demin Gao, Haoyu Wang, Shuai Wang, Weizheng Wang, Zhimeng Yin, Shahid Mumtaz, Xingwang Li, Valerio Frascolla, Arumugam Nallanathan
      To appear on IEEE Transactions on Communications,[PDF]
      Covered by Media: IEEE Spectrum, Hackers.io, Hackerday, GigaZine, IndieHackers, HardwareBee
    11. [SECON'22] X-Disco: Cross-technology Neighbor Discovery
      Shuai Wang,Jianlin Guo, Pu Wang, Kieran Parsons, Philip Orlik, Yukimasa Nagai, Takenori Sumi, Parth Pathak
      In the 19th Annual IEEE International Conference on Sensing, Communication, and Networking, (57/218 = 26.1% Acceptance Rate)[PDF]
    12. [SenSys'20] X-MIMO: Cross-Technology Multi-User MIMO
      Shuai Wang,Woojae Jeong, Jinhwan Jung, Song Min Kim
      In the 18th ACM Conference on Embedded Networked Sensor Systems, (44/213 = 20.6% Acceptance Rate)[PDF]
    13. [MobiCom'20] SDR Receiver Using Commodity WiFi via Physical-Layer Signal Reconstruction
      Woojae Jeong, Jinhwan Jung, Yuanda Wang, Shuai Wang, Seokwon Yang, Qiben Yan, Yung Yi, Song Min Kim
      In the 26th Annual International Conference on Mobile Computing and Networking, (62/384 = 16.1% Acceptance Rate)[PDF]
    14. [TMC] Networking Support For Bidirectional Cross-Technology Communication
      Shuai Wang, Zhimeng Yin, Shuai Wang, Zhijun Li, Yongrui Chen, Song Min Kim, Tian He
      To appear on IEEE Transactions on Mobile Computing,[PDF]
    15. [ICDCS'18] Symbol-level Cross-technology Communication via Payload Encoding
      Shuai Wang, Song Min Kim, Tian He
      In the 38th IEEE International Conference on Distributed Computing Systems, (78/378 = 20% Acceptance Rate)[PDF]
      Best Paper Award
    16. [SenSys'18] Exploiting WiFi Guard Band for Safeguarded ZigBee
      Yoon Chae,Shuai Wang, Song Min Kim
      In the 16th ACM Conference on Embedded Networked Sensor Systems, (23/147 = 15.6% Acceptance Rate)[PDF]

    Tools

    Our Cross-technology Channel Estimation tool is released at Github. This tool consists of two parts: (i), fragments injection, which injects the customized WiFi fragments with precise timing control. (ii), channel estimation, which estimates the cross-technology channel from the channel state information (CSI) collected from the injected fragments. Our implementation follows the design in X-MIMO and supports collecting the cross-technology channel information at a wireless router (TP-link WDR4300) or an Atheros WNIC as long as they support Atheros CSI Tool. To understand how our tool is operated, we provide two demos for wireless router users:

    and WNIC users: