Ph.D. candidate, Department of Computer Science and Engineering, University of California, San Diego
La Jolla, CA, 92093
I am a first second third fourth fifth-year Ph.D. candidate in Computer Science and Engineering at the University of California, San Diego, advised by Prof. Xinyu Zhang.
Committed to the vision of "ambient intelligence", my research delves into the creation of intelligent, cost-effective, deployable, and human-centric sensing technologies, harnessing innovative sensing modalities and advanced computational sensing techniques for Mobile and IoT ecosystems. My endeavors explore the depth and breadth of Extended Sensory Sensors, including ultrasound/radio frequency (RF) signals, electromagnetic wave (EM), biopotential and motion sensors, etc., which have the capacity for sensing beyond human capabilities.
My work has won the ACM IMWUT (UbiComp) Distinguished Paper Award and ACM SenSys Best Poster Runner-up. The tangible impact of my research is also manifested in real-world applications, with successful deployments on widely-recognized IoT devices such as Amazon Echo and Google Home. Additionaly, I'm privileged to have been chosen as the Google Ph.D. Fellowship (the sole recipient in Mobile Computing area among candidates in North America and Europe).
In the mobile and IoT realm, my work intersects various disciplines, driving innovation acrossProject: Ultrasound based sensing applications for mobile devices
School Rank 9 and Team Rank 13 from 217 teams
Top 100 undergraduates in China annually
StealthyIMU: Extracting Permission-protected Private Information from Smartphone Voice Assistant using Zero-Permission Sensors
NDSS 2023, Feb 2023. (Acceptance ratio: 58/398=14.6%)
SCALAR: Self-Calibrated Acoustic Ranging for Distributed Mobile Devices
IEEE TMC 2023
VECTOR: Velocity Based Temperature-field Monitoring with Distributed Acoustic Devices
ACM UbiComp (IMWUT) 2022, Sep 2022.
LoEar: Push the Range Limit of Acoustic Sensing for Vital Sign Monitoring
ACM UbiComp (IMWUT) 2022, Sep 2022.
UltraSE: Single-Channel Speech Enhancement Using Ultrasound
ACM MobiCom 2021, Oct 2021. (Acceptance ratio: 60/299=20.1%)
ExGSense: Toward Facial Gesture Sensing and Reconstruction with a Sparse Near-Eye Sensor Array
ACM/IEEE IPSN 2021, May 2021. (Acceptance ratio: 26/105=24.8%)
"Alexa, Stop Spying on Me": Speech Privacy Protection Against Voice Assistants
ACM SenSys 2020, Nov 2020. (Acceptance ratio: 43/213=20.2%)
milliEgo: Single-chip mmWave Radar Aided Egomotion Estimation via Deep Sensor Fusion
ACM SenSys 2020, Nov 2020. (Acceptance ratio: 43/213=20.2%)
Dynamic Speed Warping: Similarity-Based One-shot Learning for Device-free Gesture Signals
IEEE INFOCOM 2020, April 2020. (Acceptance ratio: 267/1397=19.1%)
SpiderMon: Towards Using Cell Towers as Illuminating Sources for Keystroke Monitoring
IEEE INFOCOM 2020, April 2020. (Acceptance ratio: 267/1397=19.1%)
VSkin: Sensing Touch Gestures on Surfaces of Mobile Devices Using Acoustic Signals
ACM MobiCom 2018, October 2018 (Acceptance ratio: 42/187=22.5%).
Unlock With Your Heart: Heartbeat-based Authentication on Commercial Mobile Phones
ACM IMWUT (UbiComp) 2018, October 2018.
Depth Aware Finger Tapping on Virtual Displays
ACM MobiSys 2018, June 2018. (Acceptance ratio: 37/138=26.8%)
Device-free Gesture Tracking using Acoustic Signals
ACM MobiCom 2016, October 2016. (Acceptance ratio: 31/226=13.7%)