Mr Wenjun Peng
Higher Degree by Research Candidate
School of Computer Science and Information Technology
College of Engineering and Information Technology
Wenjun is supervised by A/Prof. Qi Wu and Dr. Xinyu Wang. His research focuses on large language models, AI agents, multi-agent systems, and AI for quantitative finance, with a focus on reasoning, decision-making, and algorithmic trading.
| Year | Citation |
|---|---|
| 2026 | Peng, W., Lim, J. Z., Liu, Q., & Wang, X. (2026). Can Large Language Models Play to Win? Game-Theoretic Benchmarks in Poker for Probabilistic Reasoning Evaluation. In Lecture Notes in Computer Science Vol. 16452 LNCS (pp. 313-328). Springer Nature Singapore. DOI |
| 2026 | Peng, W., Wang, X., & Wu, Q. (2026). ProxyWar: Dynamic Assessment of LLM Code Generation in Game Arenas. In Proceedings of the 2026 IEEE/ACM 48th International Conference on Software Engineering (ICSE 2026) (pp. 387-399). US: Association for Computing Machinery. DOI |
| 2026 | Wang, Z., Zhang, C., Peng, W., Wu, Q., & Wang, X. (2026). TriEx: A Game-based Tri-View Framework for Explaining Internal Reasoning in Multi-Agent LLMs. In Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) (pp. 6448-6479). Association for Computational Linguistics. DOI |
Teaching Assistant:
- COMP SCI 2035 - Topics in Computer Science
- ARTI 6003 - Machine Learning Algorithms
- COMP SCI 7318 - Deep Learning Fundamentals
- COMP SCI 2008 - Topics in Computer Science
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