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Zhengyan Wan
I am a Master's student in the School of Statistics at East China Normal University, where I am fortunate to be advised by Prof. Fang Fang. Currently, I’m a visiting student in the Department of Statistics and Data Science at Mohamed bin Zayed University of Artificial Intelligence (MBZUAI), supervised by Prof. Qiang Sun. Previously, I received my Bachelor's degree in Statistics from the School of Mathematics at Jilin University. I am mainly interested in generative models, deep learning theory and high-dimensional statistics.
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Publications
(* : Equal Contribution)
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Discrete Guidance Matching: Exact Guidance for Discrete Flow Matching
[Code]
Zhengyan Wan*,
Yidong Ouyang*, Liyan Xie, Fang Fang, Hongyuan Zha, Guang Cheng
ICLR, 2026
We derive the exact transition rate for the desired distribution given a learned discrete flow matching model, leading to guidance that only requires a single forward pass in each sampling step, significantly improving sampling efficiency.
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Training-Free Self-Correction for Multimodal Masked Diffusion Models
[Code]
Yidong Ouyang, Panwen Hu, Zhengyan Wan, Zhe Wang, Liyan Xie, Dmitriy Bespalov, Ying Nian Wu, Guang Cheng, Hongyuan Zha, Qiang Sun
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Corrected Samplers for Discrete Flow Models
[Code]
Zhengyan Wan,
Yidong Ouyang, Liyan Xie, Fang Fang, Hongyuan Zha, Guang Cheng
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Error Analysis of Discrete Flow with Generator Matching
Zhengyan Wan,
Yidong Ouyang, Qiang Yao, Liyan Xie, Fang Fang, Hongyuan Zha, Guang Cheng
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High-Dimensional Model Averaging via Cross-Validation
[Code]
Zhengyan Wan,
Fang Fang, Binyan Jiang
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