Jun Wang

Professor of Information Systems and Data Science, Computer Science

Programme Director,  MSc/MRes Web Science and Big Data Analytics

University College London

Email: jun.wang (at) cs.ucl.ac.uk

Office: 3.08  66-72 Gower Street

Co-founder, Chief Scientist, MediaGamma, a data science and AI start-up on real-time intelligent decision-making.

Research Interests

My research focus is on intelligent systems covering:

Recent Papers

  • MAgent: A Many-Agent Reinforcement Learning Research Platform for Artificial Collective Intelligence, NIPS demo 2017.
  • An Empirical Study of AI Population Dynamics with Million-agent Reinforcement Learning, arxiv, 2017
  • IRGAN: A Minimax Game for Unifying Generative and Discriminative Information Retrieval Models, SIGIR (Best Paper Award Honorable Mention), 2017
  • Multiagent Bidirectionally-Coordinated Nets: Emergence of Human-level Coordination in Learning to Play StarCraft Combat Games, arxiv, demo, 2017
  • Long Text Generation via Adversarial Training with Leaked Information, arxiv, 2017
  • Adversarial Variational Inference for Tweedie Compound Poisson Models, ICML Workshop on Implicit Models, 2017
  • Learning to Design Games: Strategic Environments in Deep Reinforcement Learning, arxiv, 2017
  • Seqgan: sequence generative adversarial nets with policy gradient, AAAI, 2017
  • Display Advertising with Real-Time Bidding (RTB) and Behavioural Targeting, book, 2017

For a full list, see my Google Scholar page.

Selected Awards

Biographical Sketch

Dr. Jun Wang is Chair Professor of Data Science, Computer Science, University College London, and Founding Director of MSc Web Science and Big Data Analytics. He is also Co-founder and Chief Scientist in MediaGamma Ltd, a UCL spin-out focusing on AI for intelligent audience decision making.

His main research interests are in the areas of intelligent information systems, covering information retrieval, personalization, data mining, online advertising, reinforcement learning, and deep learning. His team won the first global real-time bidding algorithm contest with 80+ participants worldwide. Jun has published over 100 research papers and is a winner of multiple “Best Paper” awards. He was a recipient of the Beyond Search – Semantic Computing and Internet Economics award by Microsoft Research and also received Yahoo! FREP Faculty award. He has served as an Area Chair in ACM CIKM and ACM SIGIR. MediaGamma has received the UCLB One-to-Watch award 2016.

He has more than 15 years track records of advising the industry and knowledge transfer. He was a technical advisor for startups such as Last.Fm, Passiv Systems, Massive Analytic, Context Scout, and Polecat, and had various projects with BT, Microsoft, Yahoo!, Alibaba etc.

Prof. Wang obtained his PhD degree in Delft University of Technology, the Netherlands; MSc degree in National University of Singapore, Singapore; and Bachelor degree in Southeast University, Nanjing, China.