Biography

I'm Yandao Huang

I am currently a first-year Ph.d. student at Hong Kong University of Science and Technology (HKUST), co-supervised by Prof. Qian Zhang and Prof. Lionel M. Ni. Before I join in HKUST, I was a member of IoT Research Center of Shenzhen University (supervised by Prof. Kaishun Wu). I obtained my bachelor degree in computer science and technology from Shenzhen University, China in July 2020, awarded the highest student honor of "Excellent Star of SZU".

My research interests are highly interdisciplinary, incorporating computer science with advanced material, physics, medicine, physiology, etc. The proposed systems are aiming to be practically used in real-world scenarios.

  • Internet of Things (IoT)
  • Mobile and Ubiquitous Computing
  • Human Activities Recognition
  • Human-computer Interaction
  • Smart Healthcare
News

My Recent News

  • [3/2022] Our paper "Towards Device-free and User-independent Fall detection using Floor Vibration" was acceepted to appear in TOSN
  • [3/2022] Our paper "MagEar: Eavesdropping via Audio Recovery using Magnetic Side Channel" was acceepted by MobiSys 2022
  • [9/2021] Our paper "A Portable and Convenient System for Unknown Liquid Identification with Smartphone Vibration" was accpepted to appear in TMC.
  • [9/2021] Our paper "Binarized neural network for edge intelligence of sensor-based human activity recognition" was accpepted to appear in TMC.
  • [4/2021] Our project Vi-Liquid is covered by New Scientist and ACM Communications
  • More...
Selectd Publications

Conference Papers

  • [MobiCom'21] Yongzhi Huang, Kaixin Chen, Yandao Huang, Lu Wang, and Kaishun Wu, "Vi-Liquid: Unknown Liquid Identification with Your Smartphone Vibration", to appear in Proc. ACM MobiCom, 2021.
  • [MobiCom'19] Wenqiang Chen, Lin Chen, Yandao Huang, Xinyu Zhang, Lu Wang, Rukhsana Ruby, and Kaishun Wu., "Taprint: Secure Text Input for Commodity Smart Wristbands," in Proc. ACM MobiCom, 2020.
  • [SECON'19] Yandao Huang, Wenqiang Chen, Hongjie Chen, Lu Wang, and Kaishun Wu, "G-Fall: Device-free and Training-free Fall Detection with Geophones," In Proc. IEEE SECON, 2019.
  • [SECON'19] Maoning Guan, Wenqiang Chen, Yandao Huang, Rukhsana Ruby, and Kaishun Wu, "FaceInput: A Hand-Free and Secure Text Entry System through Facial Vibration," In Proc. IEEE SECON, 2019.
  • [SECON'18] Wenqiang Chen, Maoning Guan, Yandao Huang, Lu Wang, Rukhsana Ruby, Wen Hu, and Kaishun Wu, "ViType: A Cost Efficient On-Body Typing System through Vibration," In Proc. IEEE SECON, 2018.

Journal Papers

  • [TMC] Yongzhi Huang, Kaixin Chen, Yandao Huang, Lu Wang, and Kaishun Wu, "A Portable and Convenient System for Unknown Liquid Identification with Smartphone Vibration", to appear in IEEE Transactions on Mobile Computing.
  • [TMC] Fei Luo, Salabat Khan, Yandao Huang, and Kaishun Wu, "Binarized neural network for edge intelligence of sensor-based human activity recognition", to appear in IEEE Transactions on Mobile Computing.
  • [TMC'20] Kaishun Wu, Yandao Huang, Wenqiang Chen, Lin Chen, Xinyu Zhang, Lu Wang, and Rukhsana Ruby, "Power Saving and Secure Text Input for Commodity Smart Watches," IEEE Transactions on Mobile Computing (TMC), Volume 20, Issue 6, Pages 2281 - 2296, 2021.
  • [TPCI'20] Yandao Huang and Kaishun Wu, "Vibration-based pervasive computing and intelligent sensing", CCF Transactions on Pervasive Computing and Interaction (TPCI), Volume 2, Issue 4, Pages 219–239, 2020.
  • [TMC'19] Wenqiang Chen, Maoning Guan, Yandao Huang, Lu Wang, Rukhsana Ruby, Wen Hu, and Kaishun Wu, "A Low Latency On-body Typing System through Single Vibration Sensor," IEEE Transactions on Mobile Computing (TMC), Volume 19, Issue 11, Pages 2520–2532, 2020.