(2022). Interconnected Neural Linear Contextual Bandits with UCB Exploration. 26th Pacific-Asia Conference on Knowledge Discovery and Data Mining – PAKDD 2022.

(2021). Individual-Level Inverse Reinforcement Learning for Mean Field Games. 21st International Conference on Autonomous Agents and MultiAgent Systems – AAMAS 2022.

(2020). Social Capital Games as A Framework for Network Formation. 2020 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining – ASONAM 2020.


(2020). Social Structure Emergence: A Multi-agent Reinforcement Learning Framework for Relationship Building. 19th International Conference on Autonomous Agents and MultiAgent Systems – AAMAS 2020.




Research Fellow

The University of Auckland

Jun 2021 – Present Auckland, New Zealand
I am currently a research fellow with the Broad AI Lab at The University of Auckland. My research foucs is on reinforcement learning based auto reasoning and proving.

Research Intern

Alibaba DAMO Academy

Sep 2020 – Jan 2021 Beijing, China
I served as a principal contributor and programmer of a research project, where I proposed a novel framework that combines deep learning and bandit techniques to enhance the efficiency and accuracy of the recommender system.


  • August 2020: Google Global PhD Fellowship Nomination (Austrilia & New Zealand).
  • July 2019:
    Best Paper Award, BSCI 2019.
  • December 2018: Summer scholarship funding from the Precision Driven Health research partnership.
  • October 2018: Ph.D. Scholarship, The University of Auckland.


  • Room 496, Building 303S, 38 Princes Street. The University of Auckland, Auckland CBD, 1010, New Zealand