Curriculum Vitae
Research Interests
Machine learning applications in physical science, including multi-fidelity fluid dynamics modeling and multi-survey astronomical image analysis.
Education
Stony Brook University, New York, United States
Ph.D. Candidate in Computer Science — 2022–Present
Advisor: Prof. Dimitris Samaras
Ecole Polytechnique Federale de Lausanne, Lausanne, Switzerland
Visiting Doctoral Student in Computer and Communication Sciences — 2025
Host advisor: Prof. Pascal Fua
University of Michigan, Ann Arbor, Michigan, United States
B.S. in Data Science and Honors Computer Science — 2019–2022
Advisor: Prof. David Fouhey
Research Experience
Research Assistant, Stony Brook CV Lab, Stony Brook University
May 2023–Present
Faculty advisor: Prof. Dimitris Samaras
Visiting Researcher, Computer Vision Lab, Ecole Polytechnique Federale de Lausanne
January 2025–June 2025
Supervisor: Prof. Pascal Fua
Research Assistant, Fouhey AI Lab, University of Michigan
May 2020–March 2022
Faculty advisor: Prof. David Fouhey
Summer Research Assistant, State Key Lab of Fire Science, University of Science and Technology of China
June 2018–August 2018
Faculty advisor: Prof. Yuan Hu
Internship Experience
Research Intern, SIGMA Group, Futurewei Technologies
February 2026–August 2026
Mentor: Dr. Zhiqiang Lao
Publications
- Dichang Zhang, Yixuan Shao, Jiali Cui, Haotian Yin, Yuanpeng Liu, Jiaqi Deng, Xiang Gao, Zhiqiang Lao, Heather Yu, Simon Birrer, Dimitris Samaras. “COSMIO: A Benchmark for Cross-Survey Modality Imputation.” Advances in Neural Information Processing Systems (NeurIPS), 2026. Accepted for publication.
- Xiang Gao, Xiaoping Zhu, Xinmu Wang, Yuanpeng Liu, Haotian Yin, Dichang Zhang, Yazheng Chen, Yue Wang, Yubin Zhou, Yu Guo, Wei Chen, David Gu, Xinyu Song, Heather Yu. “Diffeomorphism-Informed 3D Gaussian Splattings via Screen-Space Optimal Transport (OT).” Advances in Neural Information Processing Systems (NeurIPS), 2026. Accepted for publication.
- Dichang Zhang, Jiaqi Deng, Yixuan Shao, Yuanpeng Liu, Jiali Cui, Zhiqiang Lao, Heather Yu, Liang Peng, Simon Birrer, Dimitris Samaras. “A General-Purpose VLM Can Teach an Astronomy Foundation Model to Better Recognize Galaxy Morphology.” arXiv:2608.02300 [cs.CV], 2026.
- Dichang Zhang, Yixuan Shao, Simon Birrer, Dimitris Samaras. “AS-Bridge: A Bidirectional Generative Framework Bridging Next-Generation Astronomical Surveys.” ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2026.
- Shilin Hu, Ke Ma, Sagnik Das, Dichang Zhang, Dimitris Samaras. “Deep Learning-Based Rail Surface Condition Evaluation.” International Conference on Computer Vision (ICCV) Workshops, 2025.
- Dichang Zhang, Christian Santoni, Zexia Zhang, Dimitris Samaras, Ali Khosronejad. “Adaptive Multitask Neural Network for High-Fidelity Wake Flow Modeling of Wind Farms.” Energies, 2025.
- Christian Santoni, Dichang Zhang, Zexia Zhang, Dimitris Samaras, Fotis Sotiropoulos, Ali Khosronejad. “Toward Ultra-Efficient High-Fidelity Predictions of Wind Turbine Wakes: Augmenting the Accuracy of Engineering Models via LES-Trained Machine Learning.” Physics of Fluids, 2024.
- Dichang Zhang, Zexia Zhang, Christian Santoni, Ali Khosronejad, Dimitris Samaras. “Transfer Learning in Multi-Fidelity Surrogate Modeling: A Wind Farm Case.” International Conference on Machine Learning (ICML) Workshops, 2024.
- Richard E. L. Higgins, David F. Fouhey, Dichang Zhang, Spiro K. Antiochos, Graham Barnes, J. Todd Hoeksema, K. D. Leka, Yang Liu, Peter W. Schuck, Tamas I. Gombosi. “Fast and Accurate Emulation of the SDO/HMI Stokes Inversion with Uncertainty Quantification.” The Astrophysical Journal, 2021.
- Junling Wang, Dichang Zhang, Yan Zhang, Wei Cai, Congxue Yao, Yuan Hu, Weizhao Hu. “Construction of Multifunctional Boron Nitride Nanosheet Towards Reducing Toxic Volatiles (CO and HCN) Generation and Fire Hazard of Thermoplastic Polyurethane.” Journal of Hazardous Materials, 362:482–494, 2019.
- Wei Cai, Dichang Zhang, Bo Wang, Yuxuan Shi, Ying Pan, Jin Wang, Wen Hu, Yuan Hu. “Scalable One-Step Synthesis of Hydroxylated Boron Nitride Nanosheets for Obtaining Multifunctional Polyvinyl Alcohol Nanocomposite Films: Multi-Azimuth Properties Improvement.” Composites Science and Technology, 2018.
- Feng Chu, Dichang Zhang, Yifan Hou, Shiyu Qiu, Jin Wang, Wen Hu, Lei Song. “Construction of Hierarchical Natural Fabric Surface Structure Based on Two-Dimensional Boron Nitride Nanosheets and Its Application for Preparing Biobased Toughened Unsaturated Polyester Resin Composites.” ACS Applied Materials & Interfaces, 2018.