About
I am currently a research engineer at Ant Group in Hangzhou, China. Previously, I had the privilege of pursuing a Ph.D. in Computer Science at Singapore Management University, under the supervision of Prof. Pradeep Varakantham. My research primarily focuses on training reinforcement learning (RL) agents and humans to be more generalizable, with an emphasis on enhancing the effectiveness and efficiency of training processes. For an example of my recent work, see CENIE. In addition, I explore the intersection of large language models (LLMs) and reinforcement learning, particularly in tuning LLMs using RL-based techniques. A recent example is Dr.GRPO, where we identified the bias in GRPO algorithm to enhance R1-Zero-style training performance.
Before joining SMU, I completed my MSc in Electrical Engineering at the Viterbi School of Engineering, University of Southern California, where I discovered my passion for machine learning and AI research. Outside of my academic pursuits, I enjoy sports, travelling, reading and supporting FC Bayern Munich.
News
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Selected Publications
Large Language Models
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HiMAP-Travel: Hierarchical Multi-Agent Planning for Long-Horizon Constrained Travel
The Viet Bui*, Wenjun Li*, Yong Liu
International Conference on Machine Learning (ICML), 2026
(Paper)
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Adaptive Tool Use in Large Language Models with Meta-Cognition Trigger
Wenjun Li, Dexun Li, Kuicai Dong, Cong Zhang, Hao Zhang, Weiwen Liu, Yasheng Wang, Ruiming Tang, Yong Liu
The 63rd Annual Meeting of the Association for Computational Linguistics (ACL-main), 2025
(Paper)
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Unlocking the Planning Capabilities of Large Language Models with Maximum Diversity Fine-tuning
Wenjun Li, Changyu Chen, Pradeep Varakantham
Annual Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics (NAACL-Findings), 2025
(Paper)
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Reinforcement Learning
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RL Agents Reveal What's Hard: Bootstrapping Difficulty-Ordered Curricula for Human Learners
Sidney Tio*, Wenjun Li*, Ramesha Karusena, Pradeep Varakantham
International Conference on Artificial Intelligence in Education (AIED), 2026
(Paper Releasing Soon)
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Marginal Benefit Driven RL Teacher for Unsupervised Environment Design
Dexun Li, Wenjun Li, Pradeep Varakantham
Association for the Advancement of Artificial Intelligence (AAAI Oral), 2025
(Paper)
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Improving Environment Novelty Quantification for Effective Unsupervised Environment Design
Jayden Teoh*, Wenjun Li*, Pradeep Varakantham
Advances in Neural Information Processing Systems (NeurIPS Oral), 2024
(Paper)
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Education
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Singapore Management University - Ph.D. in Compute Science - (2020.08-2025.05)
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University of Southern California - MSc in Eletrical Engineering - (2018.08-2020.05)
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China Jiliang University - BSc in Optoelectronic Information Science and Engineering - (2014.09-2018.06)
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Honors
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Invited Talk
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Additional Information
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