Publications

• Jiaxin Yuan, Shashank Sule, Yeuk Yin Lam, Maria Cameron; Learning collective variables that respect permutational symmetry. J. Chem. Phys. 7 October 2025; 163 (12): 124101. https://doi.org/10.1063/5.0288154
• Xiaoyu Liu^*, Jiaxin Yuan^*, Yuhang Zhou, Jingling Li, Furong Huang, Wei Ai. CSRec: Rethinking Sequential Recommendation from A Causal Perspective. SIGIR, 2025. arXiv: 2409.05872. *equal contribution
• Zezheng Song^*, Jiaxin Yuan^* and Haizhao Yang. FMint: Bridging Human Designed and Data Pretrained Models for Differential Equation Foundation Model for Dynamical Simulation. Adv. Theory Simul. 2025, 8, 2500062. https://doi.org/10.1002/adts.202500062. *equal contribution.
• Jiaxin Yuan, Shashank Sule, Yeuk Yin Lam, Maria Cameron. Learning collective variables that respect permutational symmetry. arXiv preprint arXiv:2507.00408. 2025
• Jiaxin Yuan, Amar Shah, Channing Bentz, and Maria Cameron. Optimal control for sampling the transition path process and estimating rates. Communications in Nonlinear Science and Numerical Simulation. Volume 129, February 2024, 107701.
• Xiaoyu Liu, Jiaxin Yuan, Bang An, Yuancheng Xu, Yifan Yang, and Furong Huang. C-Disentanglement: Discovering Causally-Independent Generative Factors under an Inductive Bias of Confounder. NeurIPS, 2023
• Xiaoyu Liu, Jiaxin Yuan, Bang An, Yuancheng Xu, Yifan Yang, Furong Huang. C-Disentanglement: Discovering Causally-Independent Generative Factors under an Inductive Bias of Confounder. International Conference on Machine Learning (ICML) workshop on Structured Probabilistic Inference & Generative Modeling, 2023.
• Xiaoyu Liu, Paiheng Xu, Junda Wu, Jiaxin Yuan, Yifan Yang, Yuhang Zhou, Fuxiao Liu, Tianrui Guan, Haoliang Wang, Tong Yu, Julian McAuley, Wei Ai, Furong Huang. Large language models and causal inference in collaboration: A comprehensive survey. NAACL, 2025.
• Guowei Xu, Ruijie Zheng, Yongyuan Liang, Xiyao Wang, Zhecheng Yuan, Tianying Ji, Yu Luo, Xiaoyu Liu, Jiaxin Yuan, Pu Hua, Shuzhen Li, Yanjie Ze, Hal Daumé III, Furong Huang, Huazhe Xu. DrM: Mastering Visual Reinforcement Learning through Dormant Ratio Minimization. ICLR, 2024.
• Yifan Yang, Qiao Jin, Robert Leaman, Xiaoyu Liu, Guangzhi Xiong, Maame Sarfo-Gyamfi, Changlin Gong, Santiago Ferrière-Steinert, W John Wilbur, Xiaojun Li, Jiaxin Yuan, Bang An, Kelvin S Castro, Francisco Erramuspe Álvarez, Matías Stockle, Aidong Zhang, Furong Huang, Zhiyong Lu. Ensuring safety and trust: Analyzing the risks of large language models in medicine. arXiv preprint arXiv:2411.14487. 2024. <!–