Ziyang Zheng

CURE Lab, CSE Department

The Chinese University of Hong Kong

Email: Email

Ziyang Zheng

Ph.D. Student, The Chinese University of Hong Kong

I am a Ph.D. student in the CURE Lab at The Chinese University of Hong Kong, advised by Prof. Qiang Xu. My research interests include computational graphs, neural reasoning, diffusion models, self-distillation, and on-policy distillation.

I am always open to research collaboration and discussion. Feel free to reach out!

Experience

2026.08 – Present
Research Intern
Foundation Model Team, JD Intelligent Retail
2025.12 – 2026.07
Research Intern
Noah's Ark Lab, Huawei
2023.08 – Present
Ph.D. in Computer Science
The Chinese University of Hong Kong
2019.07 – 2023.06
B.Sc. in Data Science
Harbin Institute of Technology (Shenzhen)

Selected Publications

Context Distillation as Latent Memory Management

Context Distillation as Latent Memory Management

Ziyang Zheng, Zeju Li, Xiangyu Wen, Jianyuan Zhong, Junhua Huang, Lei Chen, Mingxuan Yuan, and Qiang Xu.

Under review

[arXiv]
CASCAD: Circuit-Aware SAT Solving via Learned Conditional Probabilities

CASCAD: Circuit-Aware SAT Solving via Learned Conditional Probabilities

Jiaying Zhu*, Ziyang Zheng*, Zhengyuan Shi, Yalun Cai, and Qiang Xu.

Under review

[arXiv]
TRACE: Learning to Compute on Circuit Graphs

TRACE: Learning to Compute on Circuit Graphs

Ziyang Zheng*, Jiaying Zhu*, Jingyi Zhou, and Qiang Xu.

DAC 2026

[arXiv]
Functional Matching of Logic Subgraphs: Beyond Structural Isomorphism

Functional Matching of Logic Subgraphs: Beyond Structural Isomorphism

Ziyang Zheng, Kezhi Li, Zhengyuan Shi, and Qiang Xu.

NeurIPS 2025

[arXiv]
DeepGate4: Efficient and Effective Representation Learning for Circuit Design at Scale

DeepGate4: Efficient and Effective Representation Learning for Circuit Design at Scale

Ziyang Zheng, Shan Huang, Jianyuan Zhong, Zhengyuan Shi, Guohao Dai, Ningyi Xu, and Qiang Xu.

ICLR 2025

[arXiv]
Non-Cross Diffusion for Semantic Consistency

Non-Cross Diffusion for Semantic Consistency

Ziyang Zheng*, Ruiyuan Gao, and Qiang Xu.

WACV 2025

[arXiv]
DeepGate3: Towards Scalable Circuit Representation Learning

DeepGate3: Towards Scalable Circuit Representation Learning

Zhengyuan Shi*, Ziyang Zheng*, Sadaf Khan, Jianyuan Zhong, Min Li, and Qiang Xu.

ICCAD 2024

[arXiv]
GL-Fusion: Global-Local Fusion Network for Multi-view Echocardiogram Video Segmentation

GL-Fusion: Global-Local Fusion Network for Multi-view Echocardiogram Video Segmentation

Ziyang Zheng*, Jiewen Yang*, Xinpeng Ding, Xiaowei Xu, and Xiaomeng Li.

MICCAI 2023

[arXiv]