I am a postdoctoral associate at University of Maryland, College Park working with Furong Huang and Tom Goldstein. I obtained my Ph.D. from Electrical and Computer Engineering at the University of California, Riverside, under the guidance of M. Salman Asif. Originally from Wuhan, the "River City" of China, I completed my B.S. in Automation at Wuhan University of Technology.

My research focuses on trustworthy machine learning, where I strive to identify vulnerabilities / limitations and enhance the trustworthiness (robustness, safety, privacy, and more) of machine learning systems. Besides model level trustworthiness, I also build embodied and agentic systems that can reason, act, and adapt responsibly inside the physical environment.

Current interests:

  • Multi-modal reasoning across vision, language, and action
  • Building AI agents that plan, act, and self-improve
  • Embodied AI for navigation and manipulation in robotics
  • Agentic safety and alignment in multi-agent ecosystems
  • Controllable and safe AI via model editing and unlearning
Previous experience:
  • Exposing model vulnerabilities via efficient blackbox attacks
  • Detecting adversarial attacks using language models
  • Enhancing user privacy via de-identification while preserving utility
  • Improving physical modeling via end-to-end optimization
In the past, I was fortunate to have interned at UII America (Summer 2022 in Cambridge, MA), working with Benjamin Planche and Ziyan Wu; and at PARC (Summer 2021 in Palo Alto, CA) working with Shantanu Rane.

News

  • [May 2025] Our paper SLUG on Efficient Unlearning has been accepted to ICML 2025 @ Vancouver.
  • [Mar. 2025] Our paper AegisLLM on Agentic System for Safety has been accepted to ICLR 2025 BuildingTrust @ Singapore.
  • [Oct. 2024] Our papers on Efficient and Robust Unlearning are accepted to NeurIPS 2024 SafeGenAI @ Vancouver.
  • [Sept. 2024] Our paper on Cross-modality Safety Alignment is accepted to EMNLP 2024 @ Miami.
  • [Jul. 2024] Excited to join UMD UMIACS as a postdoc, working on Advanced Autonomous Robotics.
  • [Dec 2023] Our paper on Face De-identification is accepted to AAAI 2024 @ Vancouver.
  • [May 2023] Acknowledged as CVPR 2023 Outstanding Reviewer .
  • [May 2023] Recognized as Outstanding Teaching Assistant by ECE Graduate Division for 2023.
  • [Apr. 2023] Received Dissertation Year Program Fellowship 2023/2024.
  • [Feb. 2023] Our paper EBAD is accepted to CVPR 2023 @ Vancouver.
  • [Feb. 2023] Received HEERF Dissertation Year Program Award 2022/2023.
  • [Feb. 2023] Our paper BASES is accepted to NeurIPS 2022 @ New Orleans.
  • [Jun. 2022] Presenting our paper ZQA at CVPR 2022 @ New Orleans.