About me

I am a first-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. I was also excited to work closely with Prof. Hua Wei at Arizona State University.

My research interests center on building trustworthy and reliable machine learning models. I am particularly interested in improving the safety and factual reliability of model outputs. To address these challenges, I study both the internal behavior of models and external training methods that can improve their robustness.

Contact

Email: kaishen[at]umd[dot]edu

Industry Experience

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

News

• 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

• ICLR@2025 SLLM workshop reviewer, ICLR@2026 reviewer, PAKDD@2026 reviewer, NeurIPS@2026 reviewer.
• Teaching Assistant: CMSC 131 (Fall 2025, Spring 2026)