| CARVIEW |
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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Princeton UniversityDepartment of Computer Science
Ph.D. StudentSep. 2025 - Present -
UC San DiegoB.S. in Mathematics & Computer ScienceSep. 2021 - Jun. 2025
Selected Publications (view all )
Discovering Latent Causal Graphs from Spatio-Temporal Data
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.
Discovering Latent Causal Graphs from Spatio-Temporal Data
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.
SceneProg: Program Synthesis for 3D Scene Generation using LLMs
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.
SceneProg: Program Synthesis for 3D Scene Generation using LLMs
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.