Kun Wang 王堃
Hello! I am a second-year CS Ph.D. student at Princeton University, advised by Prof. Olga Russakovsky. During my undergraduate studies at UC San Diego, I was fortunate to be advised by Prof. Rose Yu and Prof. Yian Ma on spatio-temporal causal discovery, and Prof. Manmohan Chandraker on 3D scene generation with Large Language Models.
I'm generally interested in visual agents and accelerating vision research, currently working on robotics agents and world models.
Princeton University · Ph.D. in Computer Science
· Sep. 2025 - Present
UC San Diego · B.S. in Mathematics & Computer Science
· Sep. 2021 - Jun. 2025
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In-Context Learning Can Help Vision-Language Models Overcome Training Priors
Kun Wang, Xindi Wu, Sanghyuk Chun, Olga Russakovsky, Esin Tureci
NeurIPS 2026
Discovering Latent Causal Graphs from Spatio-Temporal Data
Kun Wang*, Sumanth Varambally*, Duncan Watson-Parris, Yian Ma, Rose Yu
ICML 2025 · Oral at NeurIPS 2024 CRL Workshop
MLS-Bench: A Holistic and Rigorous Assessment of AI Systems on Building Better AI
Bohan Lyu, Yucheng Yang, Siqiao Huang, Jiaru Zhang, Qixin Xu, Xinghan Li, Xinyang Han, Yicheng Zhang, Huaqing Zhang, Runhan Huang, Kaicheng Yang, Zitao Chen, Wentao Guo, Junlin Yang, Xinyue Ai, Wenhao Chai, Yadi Cao, Ziran Yang, Kun Wang, Dapeng Jiang, Huan-ang Gao, Shange Tang, Chengshuai Shi, Simon S. Du, Max Simchowitz, Jiantao Jiao, Dawn Song, Chi Jin
NeurIPS 2026 Datasets & Benchmarks Track (Oral)
InteriorAgent: LLM Agent for Interior Design-Aware 3D Layout Generation
Kunal Gupta, Ishit Mehta, Kun Wang, Nicholas Chua, Yan Deng, Abhimanyu Krishna, Ravi Ramamoorthi, Manmohan Chandraker
3DV 2026
* denotes equal contribution
Experience
Service
- SIGGRAPH Asia
- ICML
- NeurIPS
- CSE 152A Intro to Computer Vision (TA), UC San Diego, 2023
- Linear Algebra & Differential Equations (Instructional Assistant), UC San Diego, 2022–2023
- O-STEM: Queer in AI, Volunteer Organizer, 2024
