About Me
I’m currently a final-year Ph.D. student in the Department of Computer Science and Engineering at Penn State University, supervised by Dr. George Kesidis and Dr. David Miller.
I received my M.S. degree from the Department of Computer Science and Engineering at Penn State University in 2018 and my B.E. degree from the Department of Electrical Engineering at Southeast University (Nanjing, China) in 2016.
I will be transitioning to a new phase in my academic career as an incoming Assistant Professor in the Department of Computer Science at the University of Alabama at Birmingham.
[PhD & Intern Recruitment]: I am looking for highly motivated PhD students and interns. Interested candidates are strongly encouraged to apply. Please check English Advertisement or Chinese Advertisement. [Join us]: (1) Complete the UAB online application (not required for interns); (2) Complete the required application form; (3) Send an email with the subject “[PhD/Research Intern Application]” including your resume and transcripts.
Research Interest and Vision
My research interests include trustworthy AI and adversarial machine learning, with my Ph.D. thesis specifically focusing on poisoning attacks and defenses against deep neural networks. I’m currently working on enhancing the robustness of foundation models and their integration into traditional machine learning systems.
My Research Journey in Adversarial Machine Learning
My research vision is centered on developing trustworthy and reliable AI systems, aiming to support the advancement of technology and solve social challenges. I am keen to broaden my research scope to encompass the concept of responsibility in machine learning, focusing on areas such as robustness, fairness, and interpritability. Recently, I’m exploring the following research topics:
- Robustness of large language models
- Responsibility (such as robustness and fairness) in multi-agent systems (collaborative AI)
- Trustworthy AI + X (Applications): Cybersecurity, Healthcare
My Future Research Plan in Trustworthy AI
Read my full Research Statement and Teaching Statement.
News
- 2024-03-15: I'll be joining the department of computer science at UAB as an assistant professor in fall 2024.
- 2024-01-30: Our paper is accepted to TKDE: "BIC-based Mixture Model Defense against Data Poisoning Attacks on Classifiers: A Comprehensive Study".
- 2024-01-27: Our paper is accepted to PAKDD 2024: "Unveiling Backdoor Risks Brought by Foundation Models in Heterogeneous Federated Learning".
- 2023-12-09: Our paper is accepted to AAAI 2024: "Temporal-Distributed Backdoor Attack Against Video Based Action Recognition".
Talks and Presentations
- Towards Trustworthy AI: Evolving from Secure Systems to Responsible Integration
- Ohio University, 2024
- University of Alabama at Birmingham, 2024
Professional Service
- Conference Session Chair
- SIAM International Conference on Data Mining (SDM), 2024
- Conference Program Committee
- SIAM International Conference on Data Mining (SDM), 2024
- Conference Reviewer
- Conference on Language Modeling (COLM), 2024
- IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2022-2024
- SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2023, 2024
- IEEE/CVF Computer Vision and Pattern Recognition Conference (CVPR), 2024
- Journal Reviewer
- Computers and Security (C&S), 2024
- IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2024
- Student Volunteer
- Conference on Neural Information Processing Systems (NeurIPS), 2023