I am a fifth-year PhD student advised by Prof. Elias Bareinboim in the Computer Science department at Columbia University. My research interests lie broadly in Vision-Language Models and Causal Inference. I develop methods that integrate causal reasoning to enhance the controllability, reasoning capabilities, efficiency, and interpretability of generative models.

Prior to my PhD, I completed my master’s studies at Caltech, and was fortunate to work with Prof. Yisong Yue on data-driven optimization. In my undergrad, I worked with Prof. Yuantao Gu on compressive sensing and hyperspectral image clustering at Tsinghua University.

You can find my CV here: Yushu Pan’s Curriculum Vitae.

Publication

[Paper] Counterfactual Image Editing with Disentangled Causal Latent Space

Yushu Pan, Elias Bareinboim
In 39th Conference on Neural Information Processing Systems (NeurIPS), 2025

[Paper] From Black-box to Causal-box: Towards Building More Interpretable Models

Inwoo Hwang, Yushu Pan, Elias Bareinboim
In 39th Conference on Neural Information Processing Systems (NeurIPS), 2025

[Paper] Disentangled Representation Learning in Non-Markovian Causal Systems

Yushu Pan ^*, Adam Li ^*, Elias Bareinboim
In 38th Conference on Neural Information Processing Systems (NeurIPS), 2024

^* Indicates equal contribution.

[Paper] Counterfactual Image Editing

Yushu Pan, Elias Bareinboim
In Proceedings of the 41st International Conference on Machine Learning (ICML), 2024

[Paper, Code] Neural Causal Models for Counterfactual Identification and Estimation

Kevin Xia, Yushu Pan, Elias Bareinboim
In Proceedings of the 11th International Conference on Learning Representations (ICLR), 2023

[Paper, Code] An efficient algorithm for hyperspectral image clustering

Yushu Pan, Yuchen Jiao, Tiejian Li, Yuantao Gu
In IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2019

Teaching

Teaching assistant at Columbia:

COMS 4775: Causal Inference I (Fall 2024)
COMS 4775: Causal Inference I (Fall 2023, Head TA)
COMS 4995: Causal Inference II (Spring 2023, Head TA)

Teaching assistant at Caltech:

ACM/EE/IDS 116: Introduction to Probability Models (Fall 2020)