I am currently a first-year Ph.D. student at Global College, Shanghai Jiao Tong University (SJTU), advised by Prof. Dezhi Zhou. My research focuses on AI for Science. I received my B.S. in Information and Computational Science (Mathematics) with a minor in Artificial Intelligence from Nanjing University of Science and Technology (2021-2025), where I worked on Remote Sensing Image Unmixing under the supervision of Prof. Hongyi Liu. From January to March 2024, I was a visiting student at AI Industry Research (AIR), Tsinghua University, supervised by Prof. Yan Wang. Since January 2025, I have been a visiting student at the School of Engineering, Westlake University, working on AI for Science and Generative AI under the supervision of Prof. Tailin Wu and co-supervised by Prof. Long Wei.
My research interests lie at the intersection of artificial intelligence and scientific computing. I am particularly interested in AI for Science, where I develop machine learning methods for scientific computing with applications in simulation, control, and design. My work aims to bridge the gap between AI algorithms and real-world scientific problems, enabling more efficient and accurate computational modeling across various scientific domains. I am also interested in Generative AI, exploring the theory and applications of generative models with a primary focus on diffusion and flow-based approaches.
Publications/Preprints
FluidZero: Mastering Diverse Tasks in Fluid Systems through a Single Generative ModelHaodong Feng*, Haoren Zheng*, Peiyan Hu, Hongyuan Liu, Chenglei Yu, Long Wei, Ruiqi Feng, Jinlong Duan, Dixia Fan, Tailin Wu
Submitted to Nature Machine Intelligence, 2025
GenCP: Towards Generative Modeling Paradigm of Coupled physics with Application to Fluid-Structure InteractionTianrun Gao*, Haoren Zheng*, Wenhao Deng*, Haodong Feng, Tao Zhang, Ruiqi Feng, Qianyi Chen, Tailin Wu
Submitted to International Conference on Learning Representations (ICLR), 2026
Blind unmixing using dispersion model-based autoencoder to address spectral variabilityHaoren Zheng, Zulong Li, Chenyu Sun, Hanqiu Zhang, Hongyi Liu, Zhihui Wei
IEEE Transactions on Geoscience and Remote Sensing (TGRS), 62, 1-14, 2024
Generate reacting flow fields with flow matching neural operators on high-resolution gridsHaoren Zheng, Shibo Gu, Evatt R. Hawkes, Dezhi Zhou, Xingcai Lu
Submitted to 41st International Symposium on Combustion (ISOC), 2026
RealPDEBench: A Benchmark for Complex Physical Systems with Real-World DataPeiyan Hu*, Haodong Feng*, Hongyuan Liu*, Tongtong Yan, Wenhao Deng, Tianrun Gao, Rong Zheng, Haoren Zheng, Chenglei Yu, Chuanrui Wang, Kaiwen Li, Zhi-Ming Ma, Dezhi Zhou, Xingcai Lu, Dixia Fan, Tailin Wu
Submitted to International Conference on Learning Representations (ICLR), 2026
GGBall: Graph Generative Model on Poincaré BallTian Bu*, Chuanrui Wang*, Hao Ma, Haoren Zheng, Xin Lu, Tailin Wu
Submitted to International Conference on Learning Representations (ICLR), 2026
Last updated: January 16, 2026
