Scholar
Weitao Xu
Google Scholar ID: -RbADtgAAAAJ
Associate Professor at City University of Hong Kong
Citations & Impact
Citations
2,559
H-index
29
i10-index
67
Publications
20
Co-authors
31
list available
Contact
Publications
Resume (English only)
Academic Achievements
- 2024: Paper 'Medusa3D: The Watchful Eye Freezing Illegitimate Users in Virtual Reality Interactions' received Honorable Mention Award at MobileHCI 2024
- 2024: Paper 'Seeing the Invisible: Recovering Surveillance Video with COTS mmWave Radar' accepted by IEEE Transactions on Mobile Computing
- 2024: Paper 'InaudibleKey2.0: Deep Learning-empowered Mobile Device Pairing Protocol based on Inaudible Acoustic Signals' accepted by IEEE/ACM Transactions on Networking
- 2024: Paper 'Scenario-Adaptive Key Establishment Scheme for LoRa-enabled IoV Communications' accepted by IEEE Transactions on Mobile Computing
- 2024: Paper 'REHSense: Towards Battery-Free Wireless Sensing via Radio Frequency Energy Harvesting' accepted by MobiHoc 2024
- 2024: Paper 'RF-Egg: An RF Solution for Fine-Grained Multi-Target and Multi-Task Egg Incubation Sensing' accepted by MobiCom 2024
- 2023: Paper 'XGait: Cross-Modal Translation via Deep Generative Sensing for RF-based Gait Recognition' accepted by SenSys 2023
- 2023: Paper 'EMGSense: A Low-Effort Self-Supervised Domain Adaptation Framework for EMG Sensing' received IEEE PerCom 2023 Best Paper Award (1 out of 27 accepted papers)
- 2023: Paper 'Uncovering User Interactions on Smartphones via Contactless Wireless Charging Side Channels' accepted by IEEE S&P 2023
Background
- Tenured Associate Professor at the Department of Computer Science, City University of Hong Kong
- IEEE Senior Member and ACM Member
- Leading the Smart Sensing and Mobile Computing (S2MC) group at CityU
- Research interests include: Internet of Things (IoT), Mobile Computing, IoT Security, Wearables/AR/VR, Application of Large Language Models (LLM) in IoT, Low-power Wide-area Network (LPWAN), etc.
- PhD supervision philosophy: 'To help every single student become the best that they can be.'
