Hello there, Kun Wang/王堃 here.

I’m a 4th-year Mathematics and Computer Science undergraduate student at UC San Diego. I’m currently working with prof. Rose Yu and prof. Yian Ma in the Rose Spatio-Temporal Lab. In the past, I have worked with prof. Manmohan Chandraker on 3D reasoning ability of Large Language Models.

As a devoted researcher specializing in Machine Learning and Computer Vision, my pursuit is driven by a keen interest in leveraging the power of artificial intelligence to advance the realm of scientific discovery. My expertise lies in developing cutting-edge AI solutions that hold the potential to revolutionize how we approach and comprehend complex scientific challenges. With a focus on bridging the gap between AI and science, I am dedicated to crafting innovative solutions that unlock new insights, drive breakthroughs, and push the boundaries of knowledge.

Works:

Discovering Latent Structural Causal Models from Spatio-Temporal Data arXiv Prerint, 2024
Kun Wang*, Sumanth Varambally*, Duncan Watson-Parris, Yian Ma, Rose Yu
Paper
Oral Presentation, NeurIPS 2024 Causal Representation Learning Workshop

SceneProg: Program Synthesis for 3D Scene Generation using LLMs Under review, 2025
Kunal Gupta, Ishit Mehta, Kun Wang, Nicholas Chua, Yan Deng, Abhimanyu Krishna, Ravi Ramamoorthi, Manmohan Chandraker