Li, Loka

7 publications

ICLR 2026 Characterization and Learning of Causal Graphs with Latent Confounders and Post-Treatment Selection from Interventional Data Gongxu Luo, Loka Li, Guangyi Chen, Haoyue Dai, Kun Zhang

ICLR 2026 PersonaX: Multimodal Datasets with LLM-Inferred Behavior Traits Loka Li, Wong Yu Kang, Minghao Fu, Guangyi Chen, Zhenhao Chen, Gongxu Luo, Yuewen Sun, Salman Khan, Peter Spirtes, Kun Zhang

ICLR 2025 Causal Representation Learning from Multimodal Biomedical Observations Yuewen Sun, Lingjing Kong, Guangyi Chen, Loka Li, Gongxu Luo, Zijian Li, Yixuan Zhang, Yujia Zheng, Mengyue Yang, Petar Stojanov, Eran Segal, Eric P. Xing, Kun Zhang

NeurIPS 2025 Gene Regulatory Network Inference in the Presence of Selection Bias and Latent Confounders Gongxu Luo, Haoyue Dai, Loka Li, Chengqian Gao, Boyang Sun, Kun Zhang

ICML 2025 Reflection-Window Decoding: Text Generation with Selective Refinement Zeyu Tang, Zhenhao Chen, Xiangchen Song, Loka Li, Yunlong Deng, Yifan Shen, Guangyi Chen, Peter Spirtes, Kun Zhang

ICLR 2024 Federated Causal Discovery from Heterogeneous Data Loka Li, Ignavier Ng, Gongxu Luo, Biwei Huang, Guangyi Chen, Tongliang Liu, Bin Gu, Kun Zhang

NeurIPS 2024 On Causal Discovery in the Presence of Deterministic Relations Loka Li, Haoyue Dai, Hanin Al Ghothani, Biwei Huang, Jiji Zhang, Shahar Harel, Isaac Bentwich, Guangyi Chen, Kun Zhang