Dichang Zhang

I am a Ph.D. Candidate in Computer Science at Stony Brook University, advised by Prof. Dimitris Samaras. I have also been a visiting doctoral student at EPFL under the supervision of 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 am currently a research intern at Futurewei Technologies. My research focuses on data-driven modeling of high-dimensional phenomena in physical science.

Email / CV / Google Scholar / GitHub

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Selected Publications

COSMIO overview figure

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

In submission, 2026

AS-Bridge overview figure

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, 2026

Paper Code

Other Publications

Deep Learning-Based Rail Surface Condition Evaluation

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

International Conference on Computer Vision 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 Workshops, 2024

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

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

Masked Pretrained CNN for Few-Shot Fluid Super-Fidelity

Dichang Zhang, Zhen Wei, Aobo Yang, Yiren Shen, Dimitris Samaras, Pascal Fua

In submission, 2026

Entropogram-Guided Visual Realignment Decoding: Capturing the Rhythm of Multimodal Reasoning

Jiaqi Deng, Zhe Fu, Yakun Chen, Dichang Zhang, Zonghan Wu, Xiaoshui Huang, Huan Huo, Guangdong Xu

In submission, 2026

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

Xiang Gao, Xiaoping Zhu, Xinmu Wang, Yuanpeng Liu, Haotian Yin, Dichang Zhang, Yazheng Chen, Yue Wang, Yubin Zhou, Yu Guo, Wei Chen, David Gu, Xiyun Song, Heather Yu

In submission, 2026