Biography

I am a 4th-year undergraduate in Mathematics and Applied Mathematics at Xinjiang University (XJU) (新疆大学, GPA ranked top 3%). In 2026, I will join the School of Mathematics and Statistics, Xi'an Jiaotong University (XJTU) (西安交通大学), for my Master's degree in Applied Mathematics. My research interests span Multi-Agent Reinforcement Learning, Intelligent Game Theory, and Swarm Intelligence.

I completed a research internship at the Institute of Automation, Chinese Academy of Sciences (CASIA) (中科院自动化所) from Nov 2025 to Feb 2026, working on multi-agent reinforcement learning under the supervision of Prof. Zhiqiang Pu and Prof. Tenghai Qiu. I am currently interning at Meituan（美团）'s Autonomous Vehicle Department, focusing on the development of in-house L4 autonomous driving software. I am passionate about academic research and committed to contributing to the intersection of control systems and artificial intelligence.

I'm open to collaboration—feel free to reach me by e-mail.

News

• [2026/01/06] Our paper 'Spatial Sampling-based Passivity and Synchronization of Multiweighted Coupled Reaction-diffusion Neural Networks' has been accepted by CNSNS.
• [2025/09/01] Our paper 'Adaptive Passivity-based Synchronization of Spatiotemporal Neural Networks with Multi-weighted Coupling under Spatially Point Measurements' has been accepted by CISC 2025.

Selected Publications

• 

  Spatial Sampling-based Passivity and Synchronization of Multiweighted Coupled Reaction-diffusion Neural Networks
  Haodong Cui, Haoyun Tang, Mingyu Ma, Cheng Hu*, Tingting Shi Communications in Nonlinear Science and Numerical Simulation (CNSNS), 2025 [PDF] [Code]

• 

  Adaptive Passivity-based Synchronization of Spatiotemporal Neural Networks with Multi-weighted Coupling under Spatially Point Measurements
  Haoyun Tang, Haodong Cui, Mingyu Ma, Cheng Hu*, Tingting Shi Chinese Intelligent Systems Conference, 2025 [PDF] [Code]

Education

• 
  Xi'an Jiaotong University Incoming 2026.09

  Master's Student School of Mathematics and Statistics

  M.S. in Applied Mathematics. Research Focus: Multi-Agent Reinforcement Learning（MADRL）
• 
  Xinjiang University 2022.09 – 2026.06

  Undergraduate Student School of Mathematics and System Science

  B.S. in Mathematics and Applied Mathematics. Academic Standing: Top 3%, recipient of three national-level awards and seven provincial-level awards, with two published papers.

Research Experience

• 
  Meituan 2026.03 – Present

  Decision Planning Algorithm Intern Autonomous Delivery Business Unit · Beijing

  Worked on decision and planning for autonomous delivery vehicles, supporting evaluation framework iteration and complex-scenario algorithm validation.
• 
  Institute of Automation, Chinese Academy of Sciences 2025.11 – 2026.02

  Multi-Agent Reinforcement Learning Algorithm Intern Advisor: Prof. Zhiqiang Pu & Prof. Tenghai Qiu

  Working on multi-agent reinforcement learning algorithms and applications.

Selected Awards & Honors

• Meritorious Winner, Mathematical Contest in Modeling (MCM), 2025
  美国大学生数学建模竞赛M奖 [PDF]

• Provincial Special Prize, National Mathematical Modeling Competition, 2023
  全国大学生数学建模竞赛省级特等奖

• Provincial First Prize, 15th National Mathematical Competition for College Students (Category A), 2024
  第十五届全国大学生数学竞赛A类省级一等奖

• Provincial Second Prize, 14th National Market Research and Analysis Competition, 2024
  第十四届全国市场研究与分析大赛省级二等奖

• Provincial Second Prize, 10th National Statistical Modeling Competition, 2024
  第十届全国大学生统计建模大赛省级二等奖

• National Second Prize, 14th APMCM Asia-Pacific Mathematical Modeling Competition, 2024
  第十四届APMCM亚太地区大学生数学建模竞赛国家二等奖

• National Third Prize, 5th HuaShu Cup National Mathematical Modeling Competition, 2024
  第五届"华数杯"全国大学生数学建模竞赛国家三等奖

• Three-Good Student, Xinjiang University, 2024
  新疆大学三好学生

• Jinlongyu Academic Scholarship, Academic Scholarship, 2025
  金龙鱼学业奖学金

• Academic Excellence Scholarship, Xinjiang Uygur Autonomous Region, First-class Scholarship, 2024
  新疆维吾尔自治区一等奖学金

Selected Projects

• 

  Road2Gen-Drive (MetaDrive IL+RL / GAIL) [GitHub] Keywords: MetaDrive, Behavior Cloning, PPO, GAIL, Generalization Built end-to-end autonomous driving experiments in MetaDrive with two independent pipelines: IL+RL (BC pretraining + PPO fine-tuning) and GAIL for adversarial imitation learning and generalization evaluation.

• 

  Multi-UAV Collaborative Surrounding (MAPPO + AirSim) [GitHub] Keywords: AirSim, MAPPO, Multi-UAV, Curriculum Learning Built a 3v1 multi-UAV cooperative surrounding environment in AirSim and a MAPPO training pipeline with curriculum learning and tailored reward design.

• 

  StarCraft II Multi-Agent Reinforcement Learning [GitHub] Keywords: PySC2, Multi-Agent RL, Coordination, Strategy Learning Implemented and experimented with multi-agent reinforcement learning methods in StarCraft II (PySC2), focusing on coordination and strategy behaviors.

• 

  Reinforcement Learning Hub [Website] Keywords: Reinforcement Learning, Notes, Implementations, Resources An educational website for reinforcement learning, combining theory notes, algorithm implementations, and curated learning resources.

Hobbies & Interests

• 🎬 Movies: Prefer Suspense and Sci-Fi genres. Favorite directors include Christopher Nolan, James Cameron, Quentin Tarantino, Steven Spielberg, and Peter Jackson.
• 🏀 Basketball: Two-time college tournament champion; starting power forward (Position 4).
• 🏃 Running: 1500m: 12th place in university sports meet | 5000m: 8th place in university sports meet.
• 🏸 Badminton: Enjoy playing badminton regularly.
• 🎾 Tennis: Currently learning
• 🏊 Swimming: Recreational swimmer.
• 🥾 Hiking: Enjoy hiking and outdoor exploration.