About me

I am a second-year Ph.D. student in Computer Science at the University of Maryland, College Park, supervised by Prof. Heng Huang. I received my B.S. in Computer Science from Sichuan University in 2025, where I was fortunate to be supervised by Prof. Tao He.

My research interests center on building trustworthy, efficient, and practically useful AI systems:

• I am particularly interested in trustworthy machine learning, including the safety, reliability, and robustness of AI agents and multimodal models.
• I am also interested in efficient training and inference for foundation models. As foundation models become increasingly capable, I believe computational efficiency will play a growing role in their practical adoption. My current interests include efficient test-time scaling, reasoning distillation.
• Beyond methodological research, I am interested in real-world AI applications. One concrete direction I am currently exploring is AI for K-pop, where I study how AI can better understand audience preferences and artist identity, with the broader goal of supporting real-world creative and content decision making.

Industry Experience

• May 2026 - Aug. 2026 Research Scientist Intern, TikTok (Seattle)
• Mar. 2025 – Aug. 2025 Quantitative Research Intern, Jasper Capital (Shenzhen)

News

• Sep. 2026: One paper accepted by NeurIPS 2026.
• Aug. 2026: One paper accepted by EMNLP 2026.
• Jun. 2026: One paper accepted by ECCV 2026.
• Apr. 2026: One paper accepted by ICML 2026.
• Feb. 2026: One paper accetped by CVPR 2026.
• Jan. 2026: One paper accepted by EACL 2026.
• Nov. 2025: One paper accepted by AAAI 2026.
• Aug. 2025: Started for pursing my PhD at CS@UMD.
• Jun. 2025: Graduated from Sichuan University.
• May 2025: One paper accepted by ICML 2025.
• Jan. 2025: One paper accepted by ICLR 2025.
• Apr. 2024: One paper accepted by IJCAI 2024.

Service

• Reviewer: ICLR@2025 SLLM workshop, ICLR@2026, PAKDD@2026, NeurIPS@2026, MICCAI@2026 AMPLIFAI, ICLR@2027, IEEE Transactions on Multimedia.
• Teaching Assistant: CMSC 131 (Fall 2025, Spring 2026, Fall 2026).