Biography

I am a 4th-year undergraduate in Mathematics at Xinjiang University (XJU, 新疆大学) with GPA ranking 1/289. In 2026, I will join the School of Artificial Intelligence and Automation (AIA, 人工智能与自动化学院) at Huazhong University of Science and Technology (HUST, 华中科技大学), advised by Prof. Zhigang Zeng (IEEE Fellow).

My research interests span Multimodal Large Language Models, MLLM Agent, World Models, and Embodied Intelligence. I enjoy problems that connect mathematical theory with trustworthy intelligent systems, and look forward to artificial general intelligence.

I am open to collaboration and always happy to discuss research ideas by e-mail.

News

• [2026/01/07] 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

• 

  HaM-World: Soft-Hamiltonian World Models with Selective Memory for Planning Haoyun Tang^*, Haodong Cui^*, Keyao Xu, Kun Wang^†, Zhandong Mei^{† *} Equal contribution; ^† Corresponding authors. arXiv:2605.05951, 2026 [PDF] [arXiv] [Code]

• 

  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, JCR Q1, 中科院1区), 2025 [DOI] [PDF]

• 

  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

Education

• 
  Huazhong University of Science and Technology (HUST) 2026.09 - 2029.06

  Master's Student School of Artificial Intelligence and Automation (AIA)

  M.S. in Control Science. Advisor: Prof. Zhigang Zeng (IEEE Fellow).
• 
  Xinjiang University (XJU) 2022.09 - 2026.06

  Undergraduate Student College of Mathematics and System Science

  B.S. in Mathematics. GPA ranks 1 out of 289.

Research & Industry Experience

• 
  Tsinghua University, Center for Brain Inspired Computing Research 2026.05

  Reinforcement Learning Algorithm Intern Advisor: Assistant Prof. Shangqi Guo

  • Worked on DreamerV3-based reinforcement learning systems for real-world robot navigation and locomotion, including Clearpath Jackal UGV and Unitree Go1 platforms.
  • Built a real-data-to-policy learning and deployment workflow for multi-room, multi-target navigation: keyboard data collection, offline training on curated real trajectories, and pure inference deployment on the robot.
  • Designed and refined reward/perception modules for target progress, ArUco-based distance estimation, dynamic obstacle avoidance, collision penalties, and odometry-depth consistency under noisy real scenes.
  • Explored a DreamerV3 -> Walk-These-Ways PPO -> low-level SDK pipeline for Go1 locomotion, where high-level visual/proprioceptive policies adjust gait parameters before low-level motor execution.

Honors and Awards

• National Scholarship (国家奖学金), 2025
• Merit Student Pacemaker (三好学生标兵), 2025
• Meritorious Winner, American Mathematical Contest in Modeling (美国大学生数学建模竞赛 M 奖), 2025
• First Prize (Provincial), Chinese Mathematical Contest (全国大学生数学竞赛省一等奖), 2024
• Academic Excellence Scholarship, Xinjiang Uygur Autonomous Region (学业优秀奖学金), 2024