Jun Wang FREng

Professor of Computer Science, University College London

UCL Centre for Artificial Intelligence

Fellow, Royal Academy of Engineering

Co-founder, MediaGamma Ltd. (acquired) · Adviser, Genie AI

jun.wang (at) cs.ucl.ac.uk · 66-72 Gower Street, London

Google Scholar X / @seawan Bio

Research

I work on artificial intelligence, machine learning and intelligent decision-making: generative AI, reinforcement learning, multi-agent systems, large-language-model agents, recommender systems, information retrieval, and Bayesian optimisation. My work has influenced sequence generation and advanced reasoning methods for large language models, and my algorithms are used in platforms such as Ray Tune and Optuna, with applications in particle physics, drug discovery, autonomous laboratories, and materials design. Full bio →

Selected recent papers

• Large Discovery Models: Empirically-Grounded Model-Based Open-Ended Search
  Zhongwei Yu, Yan Song, Xue Yan, Anjie Liu, Xingyu Lu, Yihang Chen, Huichi Zhou, Siyuan Guo, Luoyang Sun, Sihan Chen, et al.
  arXiv preprint arXiv:2608.15669, 2026
• On the Limits of Prompt-Conditioned Language Models as General-Purpose Learners
  David Mguni, Julian Ma, Jun Wang
  arXiv preprint arXiv:2606.23668, 2026
• A Comprehensive Anatomy of Human and DeepSeek-R1 LLM Mathematical Reasoning
  Yuxiang Chen, Jun Wang
  arXiv preprint arXiv:2606.07410, 2026
• CASCADE: Case-based continual adaptation for large language models during deployment
  Siyuan Guo, Yali Du, Hechang Chen, Yi Chang, Jun Wang
  arXiv preprint arXiv:2605.06702, 2026

All publications on Google Scholar →

Books

Display Advertising with Real-Time Bidding (RTB) and Behavioural Targeting
Jun Wang, Weinan Zhang and Shuai Yuan (2017)
Foundations and Trends in Information Retrieval, 11(4-5): 297-435

Dynamic Information Retrieval Modeling
Grace Hui Yang, Marc Sloan and Jun Wang (2016)
Synthesis Lectures on Information Concepts, Retrieval, and Services

Joining the group

PhD applicants and postdocs: see prospective students.