Loka Li's Homepage

Loka Li

Hello, World! I am a third-year Ph.D. student in machine learning at Mohamed bin Zayed University of Artificial Intelligence (MBZUAI), where I am fortunate to be advised by Prof. Kun Zhang. I am a member of the Center for Integrative Artificial Intelligence (CIAI), led by MBZUAI president Prof. Eric Xing and center director Prof. Kun Zhang. I'm interested in causality and machine learning, with a particular focus on healthcare applications.

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News

Sep.2024: One paper about deterministic casual discovery was accepted by NeurIPS 2024!

Jan.2024: One paper about federated causal discovery was accepted by ICLR 2024!

Dec.2023: One paper about imitation learning was accepted by AAAI 2024!

Research

* Equal contributions.

Confidence Matters: Revisiting Intrinsic Self-Correction Capabilities of Large Language Models
Loka Li*, Zhenhao Chen*, Guangyi Chen*, Yixuan Zhang, Yusheng Su, Eric Xing, Kun Zhang.
Preprint.
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.
Annual Conference on Neural Information Processing Systems (NeurIPS), 2024.
Federated Causal Discovery from Heterogeneous Data
Loka Li, Ignavier Ng, Gongxu Luo, Biwei Huang, Guangyi Chen, Tongliang Liu, Bin Gu, Kun Zhang.
International Conference on Learning Representations (ICLR), 2024.
Learning to Optimize Permutation Flow Shop Scheduling via Graph-based Imitation Learning
Loka Li, Siyuan Liang, Zihao Zhu, Chris Ding, Hongyuan Zha, Baoyuan Wu.
Annual AAAI Conference on Artificial Intelligence (AAAI), 2024.

Service

- Serving as a reviewer for conferences and journals, including:

International Conference on Machine Learning (ICML)

Conference on Neural Information Processing Systems (NeurIPS)

International Conference on Learning Representations (ICLR)

International Conference on Artificial Intelligence and Statistics (AISTATS)

International Conference on Data Mining (ICDM)

IEEE Transactions on Neural Networks and Learning Systems (TNNLS).

- Serving as a teaching assistant for the courses, including:

2024/2025 Fall: ML801-Foundations and Advanced Topics in Machine Learning. (Instructor: Prof. Tongliang Liu.)

2023/2024 Spring: ML802-Advanced Machine Learning. (Instructor: Prof. Tongliang Liu.)

2023/2024 Fall: ML803-Advanced Probabilistic and Statistical Inference. (Instructor: Prof. Kun Zhang.)

Education

Aug.2022 - Present: Ph.D. in Machine Learning. Mohamed bin Zayed University of Artificial Intelligence (MBZUAI).

Aug.2018 - Aug.2020: M.Sc. in Computer Science. The University of Hong Kong (HKU).

Aug.2014 - Jun.2018: B.Eng. in Software Engineering. Sun Yat-sen University (SYSU).

Experience

Sep.2020 - Jun.2022: The Chinese University of Hong Kong, Shenzhen. Research Assistant.

Oct.2019 - Aug.2020: Noah's Ark Lab, Huawei. Research Intern.

Contact

Email: Longkang.Li@mbzuai.ac.ae

Location: ML Department, 2nd Floor, 1B Block, MBZUAI, Abu Dhabi, UAE.