About Me

Hello! I’m Yihao HU (胡益豪), a Ph.D. student in Artificial Intelligence at Westlake University. My research focuses on World Models, Agentic RL, Video Reasoning, Multimodal AI, and AI Agents.

I am currently an intern at Ant Group (蚂蚁集团). Previously, I was an Algorithm Intern at Meituan (Core R&D Platform, Native Multimodal LLM - LongCat) and an AI Agent & LLM Alignment Intern at Alibaba Group, Amap (高德).

My recent work spans agent-environment co-evolution, teacher-free VLM agents, multimodal reasoning, visual multi-agent systems, and computer vision for agriculture. I have also received 7+ national/international competition awards including the National Scholarship.

📰 News

  • 2026.05: SEAL: Synergistic Co-Evolution of Agents and Learning Environments was released on arXiv.
  • 2026.05: AtlasVA: Self-Evolving Visual Skill Memory for Teacher-Free VLM Agents was released on arXiv.
  • 2026.05: Two papers, OmniVideo-R1 and Dual Latent Memory for Visual Multi-agent System, were accepted by ICML 2026.
  • 2026.04: CFSR: Geometry-Conditioned Shadow Removal via Physical Disentanglement was released on arXiv.
  • 2026.02: OmniVideo-R1: Reinforcing Audio-visual Reasoning with Query Intention and Modality Attention was released on arXiv.
  • 2026.02: Dual Latent Memory for Visual Multi-agent System was released on arXiv.

🎓 Education

  • Present, Ph.D. student in Artificial Intelligence, Westlake University (西湖大学), Hangzhou, China.
  • 2022.09 - 2026.06, B.Eng. in Computer Science, Hainan University (海南大学), Hainan, China.
    • GPA: 3.93/4.0 (Top 1%, Rank 2/207)
    • Key Courses: Data Structures (97), Data Mining (97), Machine Learning (95), Introduction to AI (95), Operating Systems (95), OOP (98), Database Design (96)

📜 Selected Publications

2026

  • F. A. Vasluianu, T. Seizinger, Z. Zhou, Z. Wu, R. Timofte, L. Beltrame, …, Y. Hu, et al., “Advances in Single-Image Shadow Removal: Results from the NTIRE 2026 Challenge”, Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2026. [Paper]
  • Z. Chen, J. Tao, R. Li, Y. Hu, et al., “OmniVideo-R1: Reinforcing Audio-visual Reasoning with Query Intention and Modality Attention”, International Conference on Machine Learning (ICML), 2026. [Paper]
  • X. Yu, C. Xu, Z. Chen, B. Yin, C. Yang, Y. He, Y. Hu, et al., “Dual Latent Memory for Visual Multi-agent System”, International Conference on Machine Learning (ICML), 2026. [Paper]
  • P. Wang, Y. Hu, X. Liu, J. Yang, H. Wang, and Z. Wen, “AtlasVA: Self-Evolving Visual Skill Memory for Teacher-Free VLM Agents”, arXiv preprint, 2026. [Paper]
  • M. Gao, Z. Yue, W. Yan, Y. Hu, W. Ji, S. Tang, J. Xiao, T. S. Chua, Y. Zhuang, et al., “Counterfactual Evolution of Multimodal Datasets via Visual Programming”, Advances in Neural Information Processing Systems (NeurIPS), 2026. [Paper]
  • Y. Hu, P. Wang, X. Bai, S. Cai, H. Wang, H. Liu, A. Yang, X. Li, M. Ding, H. Liu, and J. Yao, “SDE-DET: A Precision Network for Shatian Pomelo Detection in Complex Orchard Environments”, Smart Agricultural Technology, 2026. [Paper]
  • Y. Hu, Z. Wen, X. Liu, P. Wang, X. Zhang, and W. Wu, “SEAL: Synergistic Co-Evolution of Agents and Learning Environments”, arXiv preprint, 2026. [Paper]
  • P. Wang, Y. Hu, X. Liu, and H. Wang, “CFSR: Geometry-Conditioned Shadow Removal via Physical Disentanglement”, arXiv preprint, 2026. [Paper]

2025

  • P. Wang, Y. Hu, X. Bai, J. Yang, L. Zhou, A. Yang, X. Li, M. Ding, and J. Yao, “A Multi-Strategy Framework for Enhancing Shatian Pomelo Detection in Real-World Orchards”, arXiv preprint, 2025. [Paper]

💼 Internships

  • Present, Intern, Ant Group (蚂蚁集团).
  • 2025.10 - 2026, Algorithm Intern (Native Multimodal LLM - LongCat), Meituan (美团), Core R&D Platform, Shenzhen, China.
  • Previous, AI Agent & LLM Alignment Intern, Alibaba Group, Amap (高德), Shenzhen, China.

🔬 Research Experience

  • 2023.06 - Present, Undergraduate Research Team Member (Group Leader), Prof. Xiaodong BAI’s Lab, Hainan University.
  • 2024.10 - 2025.10, Group Leader, National-Level College Student Innovation & Entrepreneurship Training Program.

🌟 Honors & Awards

🏅 Scholarships & Honors

  • National Scholarship (国家奖学金, 50th among all undergraduates in the whole school), 2025.10
  • “WuXu” Scholarship (1/207), 2024.10
  • First-Class Academic Scholarship, Hainan University (Top 10 in Department), 2023.10
  • Merit Student, Hainan University (80th among all undergraduates), 2023.12

🥇 Competition Awards

  • International Finals – First Prize, 5th Global Campus AI Algorithm Elite Competition (Stable Diffusion Prompt Optimization Track), 2023.12
  • National First Prize, 15th National College Mathematics Competition, 2023.12
  • National Second Prize, 2023 China Collegiate Computer Programming Competition, 2024.01
  • International Finals – Second Prize, 6th Global Campus AI Algorithm Elite Competition (AI + New Discipline Track), 2024.12
  • International Finals – Third Prize, 6th Global Campus AI Algorithm Elite Competition (AI + New Medical Track), 2024.12
  • National Finals – Second Prize, 12th National College Digital Media Technology & Creativity Competition, 2024.12
  • National Finals – Second Prize, 27th China Robot & AI Competition, 2025.08
  • National Finals – Third Prize, 27th China Robot & AI Competition, 2025.08

🛠️ Skills

  • Programming: C/C++ (Proficient), Python (Proficient), Matlab (Familiar)
  • Tools: Tableau, SPSS, AutoCAD, CATIA, Solidworks, Hyperworks
  • Writing: LaTeX (Proficient), Microsoft Office (Familiar)
  • Research Areas: World Model, Agentic RL, Video Reasoning, Multimodal LLM, Reasoning VLM, AI Agent