Bio

ZHANG Hengxi received the M.S. degree in data science and information technology from Tsinghua University, China, in 2023. From 2020 to 2023, he concentrated on the research topic of multi-agent system for task planning under the guidance of Assoc. Prof. DING Wenbo in SSR Group.

Research Interests

The research fields of mine are in the theories and applications of multi-agent reinforcement learning (MARL), game theory and combinatorial optimization, mainly including:

1. Intelligent multi-agent system (MAS), in which different MARL methods would be implemented to address complex task planning problems with dynamics and uncertainties.
2. Game-theoritic MAS, where the interactions between agents or players in an MAS would be considered to study their behaviors toward specific scenarios.

Awards

1. 2023 Excellent Master Thesis Award of Tsinghua University (2 out of 100)
2. 2023 Excellent Individual Award of SIGS, Tsinghua University (7 out of 5,000)
3. 2022 1st Level University Scholarship Award of Tsinghua University
4. 2022 1st Place (Only) in Academic Oral Presentation of the 4th Tsinghua-Berkeley Shenzhen Institute Workshop of Learning Theory
5. 2021 2nd Level School Scholarship Award of SIGS, Tsinghua University

Services

1. IEEE International Conference on Robotics and Automation (ICRA 2024)
2. IEEE International Conference on Communications (ICC)
3. IEEE Transactions on Wireless Communications (TWC)
4. IEEE Communications Letters

Academic Membership

1. Graduate Student Member, IEEE
2. Member, IEEE Signal Processing Society