About Myself

I am currently an Assistant Professor in the Department of Computer Science of University of Massachusetts Boston. I obtained my Ph.D. degree of Electrical and Computer Engineering at Rutgers, The State University of New Jersey, New Brunswick, advised by Prof. Yingying (Jennifer) Chen (Fellow of IEEE, ACM, AAIA, NAI), my Master’s degree of Computer Science at Rutgers, the State University of New Jersey, New Brunswick, and my Bachelor’s degree of Information Security from Huazhong University of Science and Technology, Wuhan.

Research Interest

• Security and privacy for mobile systems, including AR/VR systems (MobiCom 2021, S&P 2023, CCS 2023, CCS 2024, CCS 2025), wireless and mobile sensing systems (ICCCN 2023, CCS 2023)
• Robust and trustworthy AI/ML systems, including audio attacks (MobiCom 2022, MobiCom 2024) and defenses (CCS 2021) in voice assistant systems
• Mobile sensing and computing (MASS 2021, CNS 2024)
• Smart and mobile healthcare (JERM, MobiSys 2023)

News

• [10/2025] Our work on AR/VR user authentication ‘Harnessing Vital Sign Vibration Harmonics for Effortless and Inbuilt XR User Authentication’ received the Distinguished Paper Award in ACM CCS 2025. Thank all collaborators for the efforts and valuable guidance!
• [07/2025] Our work on AR/VR user authentication ‘Harnessing Vital Sign Vibration Harmonics for Effortless and Inbuilt XR User Authentication’ will appear in ACM CCS 2025. More details coming soon!
• [11/2024] Our work on backdoor attacks against voice assistant systems ‘Inaudible Backdoor Attack via Stealthy Frequency Trigger Injection in Audio Spectrogram’ will appear in ACM MobiCom 2024. See you in Washington D.C.!
• [10/2024] Our work on AR/VR user authentication via viseme profiling ‘SAFARI: Speech-Associated Facial Authentication for AR/VR Settings via Robust VIbration Signatures’ will appear in ACM CCS 2024. See you in Salt Lake City!
• [10/2024] Our work on user authentication via palm biometric profiling ‘mmPalm: Unlocking Ubiquitous User Authentication through Palm Recognition with mmWave Signals’ won the best paper runner up of IEEE CNS 2024. Congrats to the team!
• [11/2023] Two papers will appear in ACM CCS 2023. One work ‘FaceReader: Unobtrusively Mining Vital Signs and Vital Sign Embedded Sensitive Info via AR/VR Motion Sensors’ focuses on a novel privacy attack in AR/VR systems and the other ‘Privacy Leakage via Speech-induced Vibrations on Room Objects through Remote Sensing based on Phased-MIMO’ explores speech eavesdropping attack via mmWave sensing.
• [06/2023] Our work on vital sign monitoring using AR/VR headsets ‘Passive Vital Sign Monitoring via Facial Vibrations Leveraging AR/VR Headsets’ will appear in ACM MobiSys 2023.
• [05/2023] Our work on keystroke snooping in AR/VR systems ‘Privacy Leakage via Unrestricted Motion-Position Sensors in the Age of Virtual Reality: A Study of Snooping Typed Input on Virtual Keyboards’ will appear in IEEE S&P 2023.
• [10/2022] Our work on unnoticeable audio backdoor attacks ‘Audio-domain Position-independent Backdoor Attack via Unnoticeable Triggers’ will appear in ACM MobiCom 2022.