About me

I am a Ph.D. candidate in Computer Science at Stony Brook University, advised by Prof. Dimitris Samaras. I also collaborate with Prof. Simon Birrer in the Department of Physics and Astronomy. I have also been a visiting doctoral student at EPFL with Prof. Pascal Fua. Before that, I completed my B.S. in Data Science and Honors Computer Science at the University of Michigan, where I worked with Prof. David Fouhey. I was a research intern at Futurewei Technologies from February to August 2026.

Research interests: computer vision, machine learning, and astronomy image analysis.

Download CV · Full publication list

Selected Publications

COSMIO cross-survey modality imputation benchmark overview

COSMIO: A Benchmark for Cross-Survey Modality Imputation

Dichang Zhang, Yixuan Shao, Jiali Cui, Haotian Yin, Yuanpeng Liu, Jiaqi Deng, Xiang Gao, Zhiqiang Lao, Heather Yu, Simon Birrer, Dimitris Samaras

Advances in Neural Information Processing Systems (NeurIPS), 2026. Accepted for publication.

Overview of the VLM distillation, sample selection, and test-time prior correction framework

A General-Purpose VLM Can Teach an Astronomy Foundation Model to Better Recognize Galaxy Morphology

Dichang Zhang, Jiaqi Deng, Yixuan Shao, Yuanpeng Liu, Jiali Cui, Zhiqiang Lao, Heather Yu, Liang Peng, Simon Birrer, Dimitris Samaras

arXiv:2608.02300 [cs.CV], 2026.

AS-Bridge framework overview

AS-Bridge: A Bidirectional Generative Framework Bridging Next-Generation Astronomical Surveys

Dichang Zhang, Yixuan Shao, Simon Birrer, Dimitris Samaras

ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2026.

Comparison of HMI Stokes inversion reference and model predictions

Fast and Accurate Emulation of the SDO/HMI Stokes Inversion with Uncertainty Quantification

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

The Astrophysical Journal, 2021.

Other Publications

Diffeomorphism-Informed 3D Gaussian Splattings via Screen-Space Optimal Transport (OT)

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

Advances in Neural Information Processing Systems (NeurIPS), 2026. Accepted for publication.

Deep Learning-Based Rail Surface Condition Evaluation

Shilin Hu, Ke Ma, Sagnik Das, Dichang Zhang, Dimitris Samaras

International Conference on Computer Vision (ICCV) Workshops, 2025.

Adaptive Multitask Neural Network for High-Fidelity Wake Flow Modeling of Wind Farms

Dichang Zhang, Christian Santoni, Zexia Zhang, Dimitris Samaras, Ali Khosronejad

Energies, 2025.

Toward Ultra-Efficient High-Fidelity Predictions of Wind Turbine Wakes: Augmenting the Accuracy of Engineering Models via LES-Trained Machine Learning

Christian Santoni, Dichang Zhang, Zexia Zhang, Dimitris Samaras, Fotis Sotiropoulos, Ali Khosronejad

Physics of Fluids, 2024.

Transfer Learning in Multi-Fidelity Surrogate Modeling: A Wind Farm Case

Dichang Zhang, Zexia Zhang, Christian Santoni, Ali Khosronejad, Dimitris Samaras

International Conference on Machine Learning (ICML) Workshops, 2024.

Construction of Multifunctional Boron Nitride Nanosheet Towards Reducing Toxic Volatiles (CO and HCN) Generation and Fire Hazard of Thermoplastic Polyurethane

Junling Wang, Dichang Zhang, Yan Zhang, Wei Cai, Congxue Yao, Yuan Hu, Weizhao Hu

Journal of Hazardous Materials, 362:482–494, 2019.

Scalable One-Step Synthesis of Hydroxylated Boron Nitride Nanosheets for Obtaining Multifunctional Polyvinyl Alcohol Nanocomposite Films: Multi-Azimuth Properties Improvement

Wei Cai, Dichang Zhang, Bo Wang, Yuxuan Shi, Ying Pan, Jin Wang, Wen Hu, Yuan Hu

Composites Science and Technology, 2018.

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

Feng Chu, Dichang Zhang, Yifan Hou, Shiyu Qiu, Jin Wang, Wen Hu, Lei Song

ACS Applied Materials & Interfaces, 2018.