Publications

2026

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]
HMARS: A Hierarchical Multi-Agent Memory System for Long-Context Reasoning

HMARS: A Hierarchical Multi-Agent Memory System for Long-Context Reasoning

Zeju Li, Ziyang Zheng, Yizhou Zhou, 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]
Making Slow Thinking Faster: Compressing LLM Chain-of-Thought via Step Entropy

Making Slow Thinking Faster: Compressing LLM Chain-of-Thought via Step Entropy

Zeju Li, Jianyuan Zhong, Ziyang Zheng, Xiangyu Wen, Zhijian Xu, Yingying Cheng, Fan Zhang, and Qiang Xu.

ICLR 2026

[arXiv]
DynamicRTL: RTL Representation Learning for Dynamic Circuit Behavior

DynamicRTL: RTL Representation Learning for Dynamic Circuit Behavior

Ruizhuo Ma, Yizhou Zhou, Yun Wang, Yiran Liu, Zhengyuan Shi, Ziyang Zheng, Keren Chen, Zhan He, Liren Yan, and Qiang Xu.

AAAI 2026

[arXiv]
CHOP: Clustered Hybrid Optimization for Logic Synthesis with Self-Supervised Prediction

CHOP: Clustered Hybrid Optimization for Logic Synthesis with Self-Supervised Prediction

Rui Fu, Ruiyu Zhang, Ziyang Zheng, Zhengyuan Shi, Yijie Pu, Junhua Huang, Bei Yu, Qiang Xu, and Tsung-Yi Ho.

IEEE TCAD 2026

2025

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]
DeepSeq2: Enhanced Sequential Circuit Learning with Disentangled Representations

DeepSeq2: Enhanced Sequential Circuit Learning with Disentangled Representations

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

ASP-DAC 2025 (Best Paper Nomination)

[arXiv]
Non-Cross Diffusion for Semantic Consistency

Non-Cross Diffusion for Semantic Consistency

Ziyang Zheng*, Ruiyuan Gao, and Qiang Xu.

WACV 2025

[arXiv]
DeepCell: Self-Supervised Multiview Fusion for Circuit Representation Learning

DeepCell: Self-Supervised Multiview Fusion for Circuit Representation Learning

Zhengyuan Shi, Chenhao Ma, Ziyang Zheng, Liwei Zhou, Hongce Pan, Wenxing Jiang, Fangzhou Yang, Xiangyin Yang, Zhufei Chu, and Qiang Xu.

ICCAD 2025

[arXiv]
Alignment Unlocks Complementarity: A Framework for Multiview Circuit Representation Learning

Alignment Unlocks Complementarity: A Framework for Multiview Circuit Representation Learning

Zhengyuan Shi, Jingbo Wang, Wenxing Jiang, Chenhao Ma, Ziyang Zheng, Zhufei Chu, Weikang Qian, and Qiang Xu.

Preprint 2025

[arXiv]
ForgeEDA: A Comprehensive Multimodal Dataset for Advancing EDA

ForgeEDA: A Comprehensive Multimodal Dataset for Advancing EDA

Zhengyuan Shi, Zeju Li, Chenhao Ma, Yizhou Zhou, Ziyang Zheng, Jiaqi Liu, Hongce Pan, Liwei Zhou, Kezhi Li, Jiaying Zhu, and others.

ISEDA 2025

[arXiv]
Late Breaking Results: Hybrid Logic Optimization with Predictive Self-Supervision

Late Breaking Results: Hybrid Logic Optimization with Predictive Self-Supervision

Rui Fu, Ruiyu Zhang, Ziyang Zheng, Zhengyuan Shi, Yijie Pu, Junhua Huang, Qiang Xu, and Tsung-Yi Ho.

DAC 2025

2024

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]
Large Circuit Models: Opportunities and Challenges

Large Circuit Models: Opportunities and Challenges

Lei Chen, ..., Ziyang Zheng, ..., and Sunan Zou.

Science China Information Sciences, 2024

[arXiv]

2023

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]
GraphEcho: Graph-Driven Unsupervised Domain Adaptation for Echocardiogram Video Segmentation

GraphEcho: Graph-Driven Unsupervised Domain Adaptation for Echocardiogram Video Segmentation

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

ICCV 2023

[arXiv]