A Versatile Causal Discovery Framework to Allow Causally-Related Hidden Variables. - Xinshuai Dong; Biwei Huang; Ignavier Ng; Xiangchen Song; Yujia Zheng 001; Songyao Jin; Roberto Legaspi; Peter Spirtes; Kun Zhang 001 (ICLR, 2024)

Structural Estimation of Partially Observed Linear Non-Gaussian Acyclic Model: A Practical Approach with Identifiability. - Songyao Jin; Feng Xie 002; Guangyi Chen 002; Biwei Huang; Zhengming Chen; Xinshuai Dong; Kun Zhang 001 (ICLR, 2024)

On the Parameter Identifiability of Partially Observed Linear Causal Models. - Xinshuai Dong; Ignavier Ng; Biwei Huang; Yuewen Sun; Songyao Jin; Roberto Legaspi; Peter Spirtes; Kun Zhang 001 (NeurIPS, 2024)

Identifying Latent State-Transition Processes for Individualized Reinforcement Learning. - Yuewen Sun; Biwei Huang; Yu Yao 005; Donghuo Zeng; Xinshuai Dong; Songyao Jin; Boyang Sun; Roberto Legaspi; Kazushi Ikeda; Peter Spirtes; Kun Zhang 001 (NeurIPS, 2024)

On the Three Demons in Causality in Finance: Time Resolution, Nonstationarity, and Latent Factors. - Xinshuai Dong; Haoyue Dai; Yewen Fan; Songyao Jin; Sathyamoorthy Rajendran; Kun Zhang 001 (CoRR, 2024)

Causal-Copilot: An Autonomous Causal Analysis Agent. - Xinyue Wang; Kun Zhou; Wenyi Wu; Har Simrat Singh; Fang Nan; Songyao Jin; Aryan Philip; Saloni Patnaik; Hou Zhu; Shivam Singh; Parjanya Prajakta Prashant; Qian Shen; et al. (CoRR, 2025)

Causal Structure Learning in Hawkes Processes with Complex Latent Confounder Networks. - Songyao Jin; Biwei Huang (CoRR, 2025)