Hello! I am a first-year CS Ph.D. student at Princeton University, working with 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.
Currently, I'm interested in Cognitive Representations and Memory in Vision Language Models.
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Kun Wang*, Sumanth Varambally*, Duncan Watson-Parris, Yian Ma, Rose Yu (* equal contribution)
International Conference on Machine Learning (ICML) 2025 | Oral Presentation at NeurIPS 2024 Causal Representation Learning Workshop
This paper presents a novel approach to discovering latent causal structures from spatio-temporal data, addressing the challenge of identifying causal relationships in complex dynamical systems.
Kun Wang*, Sumanth Varambally*, Duncan Watson-Parris, Yian Ma, Rose Yu (* equal contribution)
International Conference on Machine Learning (ICML) 2025 | Oral Presentation at NeurIPS 2024 Causal Representation Learning Workshop
This paper presents a novel approach to discovering latent causal structures from spatio-temporal data, addressing the challenge of identifying causal relationships in complex dynamical systems.

Kunal Gupta, Ishit Mehta, Kun Wang, Nicholas Chua, Yan Deng, Abhimanyu Krishna, Ravi Ramamoorthi, Manmohan Chandraker
Under Review 2025
We present SceneProg, a novel approach that leverages Large Language Models for program synthesis to generate complex 3D scenes, enabling intuitive scene creation through natural language instructions.
Kunal Gupta, Ishit Mehta, Kun Wang, Nicholas Chua, Yan Deng, Abhimanyu Krishna, Ravi Ramamoorthi, Manmohan Chandraker
Under Review 2025
We present SceneProg, a novel approach that leverages Large Language Models for program synthesis to generate complex 3D scenes, enabling intuitive scene creation through natural language instructions.