Welcome to Haoyuan Jiangโ€™s Personal Homepage!

Now, I am a senior algorithm engineer at Baidu Inc. Before that, i was a researcher at Sensetime. My research interest includes Reinforcement Learning, AI Agents and Embodied AI, driven by a desire to contribute to building AGI algorithms. I worked closely with Prof. Ziyue Li at the University of Cologne and Researcher Hangyu Mao.

In my experiences, I have been investigating how to enable autonomous agents to learn, make decisions in complex environments, and apply them in reality. This includes developing new reinforcement learning algorithms that allow agents to cooperate, easily adapt to new environments and meet industry requirements.

If you are interested with my experience or research. Please feel free to contact with me!

๐Ÿ”ฅ News

  • 2024.05: ย ๐ŸŽ‰๐ŸŽ‰ One paper is accepted by KDD 2024!
  • 2024.04: ย ๐ŸŽ‰๐ŸŽ‰ One first-author paper is accepted by IJCAI 2024!
  • 2024.02: ย ๐ŸŽ‰๐ŸŽ‰ One first-author paper is accepted by IEEE TITS!
  • 2023.12: ย ๐ŸŽ‰๐ŸŽ‰ One paper is accepted by AAMAS 2024!

๐Ÿ“ Publications

IJCAI 2024
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X-Light: Cross-City Traffic Signal Control Using Transformer on Transformer as Meta Multi-Agent Reinforcement Learner

Haoyuan Jiang, Ziyue Li, Hua Wei, Xuantang Xiong, Jingqing Ruan, Jiaming Lu, Hangyu Mao, Rui Zhao.

Project

  • We propose a reinforcement learning algorithm for the multiple traffic signals control field that has good generalization and transferability while achieving SOTA performance.
  • code
IEEE TITS
sym

A General Scenario-Agnostic Reinforcement Learning for Traffic Signal Control

Haoyuan Jiang, Ziyue Li, Zhishuai Li, Lei Bai, Hangyu Mao, Wolfgang Ketter, Rui Zhao.

Project

  • We proposed a reinforcement learning algorithm for the traffic signal control field, which can easily cope with different scenarios and various types of intersections. Through training in large-scale scenarios, we found that the performance has been significantly improved and has strong generalization.
  • code

๐Ÿง‘โ€๐ŸŽจ Preprint

๐Ÿ“– Educations

  • 2017.09 - 2019.06, Master in Software Engineering, Zhejiang University.

๐Ÿ’ป Work and Research Experience

  • 2023.09 - Present, Baidu Inc., China.
  • 2019.07 - 2023.09, Sensetime Research, China.

๐ŸŒ  Services

Program Committee Member or Reviewer:

  • International Conference on Autonomous Agents and Multiagent Systems (AAMAS)

๐ŸŽ– Honors and Awards

  • 2017, 14th National Graduate Mathematical Modeling Competition, Second Prize.
  • 2017, Honor Student in IBM Innovation Bootcamp.
  • 2018, 11th China College Studentsโ€™ Entrepreneurship Competition, Bronze Award in Zhejiang Province.
  • 2022, IJCAI 2022 - Neural MMO Challenge, Bronze Tier Award.
  • 2022, Outstanding Individual of the Year in Sensetime SCG R&D Department.