Publications
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Generation Order and Parallel Decoding in Masked Diffusion Models: An Information-Theoretic Perspective
Shaorong Zhang, Longxuan Yu, Rob Brekelmans, Luhan Tang, Salman Asif, Greg Ver Steeg
Under review, 2026
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Thinking Out of Order: When Output Order Stops Reflecting Reasoning Order in Diffusion Language Models
Longxuan Yu, Yu Fu, Shaorong Zhang, Hui Liu, Mukund Varma T, Greg Ver Steeg, Yue Dong
Under review, 2026
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Local MAP Sampling for Diffusion Models
Shaorong Zhang, Rob Brekelmans, Greg Ver Steeg
Under review, 2025
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Measurement-Aligned Flow for Inverse Problems
Shaorong Zhang, Rob Brekelmans, Yunshu Wu, Greg Ver Steeg
Under review, 2025
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Exploring the Design Space of Diffusion Bridge Models
Shaorong Zhang, Yuanbin Cheng, Greg Ver Steeg
NeurIPS 2025
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Diffusion Bridge Models for 3D Medical Image Translation
Shaorong Zhang, Tamoghna Chattopadhyay, Sophia I. Thomopoulos, Jose-Luis Ambite, Paul M. Thompson, Greg Ver Steeg
EMBC 2025
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Generating Synthetic Net Load Data with Physics-Informed Diffusion Models
Shaorong Zhang, Yuanbin Cheng, Nanpeng Yu
IEEE Transactions on Smart Grid, 2025
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Data-Driven Control, Optimization, and Decision-Making in Active Power Distribution Networks
Nanpeng Yu, Shaorong Zhang, Jingtao Qin, Patricia Hidalgo-Gonzalez, Roel Dobbe, Yang Liu, Anamika Dubey, Yubo Wang, John Dirkman, Haiwang Zhong, et al.
Applied Energy, Vol. 397, 126253, 2025 (Elsevier)
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Learning Power System Dynamics with Noisy Data Using Neural Ordinary Differential Equations
Shaorong Zhang, Koji Yamashita, Nanpeng Yu
IEEE PESGM 2024
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Learning Power System Dynamics with Nearly-Hamiltonian Neural Networks
Shaorong Zhang, Nanpeng Yu
IEEE PESGM 2023
