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ORCIDLoka Li
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2020 – today
- 2026
[i10]Loka Li, Duzhen Zhang, Xingbo Du, Leonard Song, Zixiao Wang, Assanali Aukenov, Noel Thomas, Shakhnazar Sailaukan, Yonghan Yang, Feilong Chen, Jiahua Dong, Kun Zhang, Bin Zhang, Le Song:
BioXArena: Benchmarking LLM Agents on Multi-Modal Biomedical Machine Learning Tasks. CoRR abs/2605.15766 (2026)- 2025
- [c4]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:
Causal Representation Learning from Multimodal Biomedical Observations. ICLR 2025 - [c3]Zeyu Tang, Zhenhao Chen, Xiangchen Song, Loka Li, Yunlong Deng, Yifan Shen, Guangyi Chen, Peter Spirtes, Kun Zhang:
Reflection-Window Decoding: Text Generation with Selective Refinement. ICML 2025 - [i9]Gongxu Luo, Haoyue Dai, Boyang Sun, Loka Li, Biwei Huang, Petar Stojanov, Kun Zhang:
Gene Regulatory Network Inference in the Presence of Selection Bias and Latent Confounders. CoRR abs/2501.10124 (2025) - [i8]Zeyu Tang, Zhenhao Chen, Loka Li, Xiangchen Song, Yunlong Deng, Yifan Shen
, Guangyi Chen, Peter Spirtes, Kun Zhang:
Reflection-Window Decoding: Text Generation with Selective Refinement. CoRR abs/2502.03678 (2025) - [i7]Loka Li, Wong Yu Kang, Minghao Fu, Guangyi Chen, Zhenhao Chen, Gongxu Luo, Yuewen Sun, Salman H. Khan, Peter Spirtes, Kun Zhang:
PersonaX: Multimodal Datasets with LLM-Inferred Behavior Traits. CoRR abs/2509.11362 (2025) - [i6]Gongxu Luo, Loka Li, Guangyi Chen, Haoyue Dai, Kun Zhang:
Characterization and Learning of Causal Graphs with Latent Confounders and Post-treatment Selection from Interventional Data. CoRR abs/2509.25800 (2025) - [i5]Xingbo Du, Loka Li, Duzhen Zhang, Le Song:
MemR3: Memory Retrieval via Reflective Reasoning for LLM Agents. CoRR abs/2512.20237 (2025) - 2024
- [c2]Loka Li, Ignavier Ng, Gongxu Luo, Biwei Huang, Guangyi Chen, Tongliang Liu, Bin Gu, Kun Zhang:
Federated Causal Discovery from Heterogeneous Data. ICLR 2024 - [c1]Loka Li, Haoyue Dai, Hanin Al Ghothani, Biwei Huang, Jiji Zhang, Shahar Harel, Isaac Bentwich, Guangyi Chen, Kun Zhang:
On Causal Discovery in the Presence of Deterministic Relations. NeurIPS 2024 - [i4]Loka Li, Guangyi Chen, Yusheng Su, Zhenhao Chen, Yixuan Zhang, Eric P. Xing, Kun Zhang:
Confidence Matters: Revisiting Intrinsic Self-Correction Capabilities of Large Language Models. CoRR abs/2402.12563 (2024) - [i3]Loka Li, Ignavier Ng, Gongxu Luo, Biwei Huang, Guangyi Chen, Tongliang Liu, Bin Gu, Kun Zhang:
Federated Causal Discovery from Heterogeneous Data. CoRR abs/2402.13241 (2024) - [i2]Klea Ziu, Slavomír Hanzely, Loka Li, Kun Zhang, Martin Takác, Dmitry Kamzolov:
ψDAG: Projected Stochastic Approximation Iteration for DAG Structure Learning. CoRR abs/2410.23862 (2024) - [i1]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:
Causal Representation Learning from Multimodal Biological Observations. CoRR abs/2411.06518 (2024)
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