Hangwei Zhang
I’m Hangwei Zhang (张航玮), an incoming PhD student supervised by Prof. Chuanxia Zheng at Physical Vision Group, College of Computing and Data Science (CCDS), Nanyang Technological University (NTU). I will receive my Bachelor of Engineering degree in Jun. 2026 from the School of Automation Science and Electrical Engineering at Beihang University (BUAA). Before major transfer, from Sep. 2022 to Feb. 2024, I was an undergraduate student in the School of Physics at BUAA. Before entering university in Sep. 2022, I studied at the Middle School Attached to Northwestern Polytechnical University in my hometown, Xi’an, Shaanxi Province.
Other Experience
Research Interest
My overall research ambition is to seek a principled unity between AI and physics. This vision spans three complementary aims:
- Build models that understand, interact with, and generate the physical world, closing the loop between perception, control, and synthesis.
- Use mathematics and physical laws to analyze and guide model mechanisms, turning theory into design principles for reliable and interpretable AI.
- Apply AI to concrete problems across the physical sciences, delivering methods that are accurate, data-efficient, and experimentally useful.
I currently focus on Generative Models, advancing their foundations and applications for high-fidelity, controllable, and physically grounded generation. I also have experience and interests in Scientific Machine Learning (SciML), AI4Physics, 3D Vision, Large Language Models (LLMs), Machine Learning Theory, and Reinforcement Learning (RL).
News
| Jan 13, 2026 | Our paper AC-PKAN: Attention-Enhanced and Chebyshev Polynomial-Based Physics-Informed Kolmogorov-Arnold Networks has been accepted to TMLR 2026 |
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| Sep 18, 2025 | Our paper F-Adapter: Frequency-Adaptive Parameter-Efficient Fine-Tuning in Scientific Machine Learning has been accepted to NeurIPS 2025. |
| Jul 30, 2004 | I was born. Hello World!  |
Selected Honors and Awards
- Model of Research Excellence, School of Automation Science and Electrical Engineering, Beihang University (2025)
- NeurIPS 2025 Scholar Award, Neural Information Processing Foundation (2025)
- Short-Term Research Award, Nanyang Technological University (2025)
- Yuanhang Fund, Beihang University (2025)
- Merit Student, Beihang University (2024)
- Zhizhen Academy Academic Star Award, Zhizhen Academy, Beihang University (2024)
- BYD Undergraduate Scholarship, BYD Company (2024)
- First-Class Honor Scholarship for Academic Competition, Beihang University (BUAA) (2024)
- Award of Merit in SUMMER AIR 2024, Institute for AI Industry Research, Tsinghua University (2024)
- Excellent Project, Committee of 17th National Undergraduate Training Program for Innovation and Entrepreneurship (2024)
- Outstanding Student, Beihang University (2023)
- Special Scholarship for Academic Excellence, Beihang University (2023)
- National Scholarship, Ministry of Education of the People’s Republic of China (2023)
Services
Conference Reviewer: NeurIPS (2026), ICML (2026), ICML AI4Science Workshop (2026), NeurIPS AI4Science Workshop (2025), CPAL (2025).
Publications
- Mathematics (JCR Q1, IF=2.2) 2024
Analysis of High-Order Bright–Dark Rogue Waves in (2+ 1)-D Variable-Coefficient Zakharov Equation via Self-Similar and Darboux TransformationsMathematics, 2024
