ZHANG Xinyun

Ph.D

Rm 122, Ho Sin Hang Engineering Building
The Chinese University of Hong Kong
Hong Kong, China
Email: xyzhang21 [at] cse.cuhk.edu.hk

Biography

I obtained my Ph.D. degree from the Department of Computer Science and Engineering, The Chinese University of Hong Kong, where I was supervised by Prof. Bei Yu and Prof. Hong Xu. Prior to that, I earned my B.Eng. degree in Electrical Engineering from Xi'an Jiaotong University and my M.Sc. degree in Information Technology from The Hong Kong University of Science and Technology. My research interests include machine learning in EDA and computer vision.

Publications

* denotes equal contribution.

Conference papers

MM-GRADE: A Multi-Modal EDA Tool Documentation QA Framework Leveraging Retrieval Augmented Generation,
Yuan Pu, Zhuolun He, Shutong Lin, Jiajun Qin, Xinyun Zhang, Hairuo Han, Haisheng Zheng, Yuqi Jiang, Cheng Zhuo, Qi Sun, David Z. Pan, Bei Yu,
IEEE/ACM International Conference on Computer-Aided Design (ICCAD), 2025.
Disentangle, Align and Generalize: Learning A Timing Predictor from Different Technology Nodes,
Xinyun Zhang*, Binwu Zhu*, Fangzhou Liu, Ziyi Wang, Peng Xu, Hong Xu, Bei Yu,
ACM/IEEE Design Automation Conference (DAC), 2024.
Fracturing-aware Curvilinear ILT via Circular E-beam Mask Writer,
Xinyun Zhang, Su Zheng, Guojin Chen, Binwu Zhu, Hong Xu, Bei Yu,
ACM/IEEE Design Automation Conference (DAC), 2024.
Progressively Knowledge Distillation via Re-parameterizing Diffusion Reverse Process,
Xufeng Yao, Fanbin Lu, Yuechen Zhang, Xinyun Zhang, Wenqian Zhao, Bei Yu,
AAAI Conference on Artificial Intelligence (AAAI), 2024.
p-Laplacian Adaptation for Generative Pre-trained Vision-Language Models,
Haoyuan Wu*, Xinyun Zhang*, Peng Xu, Peiyu Liao, Xufeng Yao, Bei Yu,
AAAI Conference on Artificial Intelligence (AAAI), 2024 (Oral).
Reconstruct Before Summarize: An Efficient Two-Step Framework for Condensing and Summarizing Meeting Transcripts,
Haochen Tan, Han Wu, Wei Shao, Xinyun Zhang, Mingjie Zhan, Zhaohui Hou, Ding Liang, Linqi Song,
Empirical Methods in Natural Language Processing (EMNLP), 2023.
ChatEDA: A Large Language Model Powered Autonomous Agent for EDA,
Zhuolun He, Haoyuan Wu, Xinyun Zhang, Xufeng Yao, Su Zheng, Haisheng Zheng and Bei Yu,
ACM/IEEE Workshop on Machine Learning for CAD (MLCAD), 2023.
Efficient Deep Space Filling Curve,
Wanli Chen, Xufeng Yao, Xinyun Zhang, Bei Yu,
IEEE International Conference on Computer Vision (ICCV), 2023.
Efficient Design Rule Checking Script Generation via Key Information Extraction,
Binwu Zhu, Xinyun Zhang, Yibo Lin, Bei Yu, Martin Wong,
ACM/IEEE Workshop on Machine Learning for CAD (MLCAD), 2022 (Best Paper Award Nomination).
PCL: Proxy-based Contrastive Learning for Domain Generalization,
Xufeng Yao, Yang Bai, Xinyun Zhang, Yuechen Zhang, Qi Sun, Ran Chen, Ruiyu Li, Bei Yu,
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022.
GTuner: Tuning DNN Computations on GPU via Graph Attention Network,
Qi Sun, Xinyun Zhang , Hao Geng, Yuxuan Zhao, Yang Bai, Haisheng Zheng, Bei Yu,
ACM/IEEE Design Automation Conference (DAC), 2022.
Context-based Contrastive Learning for Scene Text Recognition,
Xinyun Zhang , Binwu Zhu, Xufeng Yao, Qi Sun, Ruiyu Li, Bei Yu,
AAAI Conference on Artificial Intelligence (AAAI), 2022.
Fast and Efficient DNN Deployment via Deep Gaussian Transfer Learning,
Qi Sun, Chen Bai, Tinghuan Chen, Hao Geng, Xinyun Zhang, Yang Bai, Bei Yu,
IEEE International Conference on Computer Vision (ICCV), 2021.
Hotspot Detection via Multi-task Learning and Transformer Encoder,
Binwu Zhu, Ran Chen, Xinyun Zhang, Fan Yang, Xuan Zeng, Bei Yu, Martin D.F. Wong,
IEEE/ACM International Conference on Computer-Aided Design (ICCAD), 2021.

Journal papers

HyDAS: Hybrid Domain Deformed Attention for Selective Hotspot Detection,
Yuyang Chen, Qi Sun, Su Zheng, Xinyun Zhang, Bei Yu, Hao Geng,
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), 2025.
Pre-Routing Timing Prediction Across Different Technology Nodes,
Xinyun Zhang*, Binwu Zhu*, Fangzhou Liu, Jiaxi Jiang, Ziyi Wang, Peng Xu, Hong Xu, Bei Yu,
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), 2025.
ChatEDA: A Large Language Model Powered Autonomous Agent for EDA,
Haoyuan Wu, Zhuolun He, Xinyun Zhang, Xufeng Yao, Su Zheng, Haisheng Zheng, Bei Yu,
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), 2024.
DRC-SG 2.0: Efficient Design Rule Checking Script Generation via Key Information Extraction,
Binwu Zhu, Xinyun Zhang, Yibo Lin, Bei Yu, Martin Wong,
ACM Transactions on Design Automation of Electronic Systems (TODAES), 2023.

Experience

Huawei Noah's Ark Lab, AI4EDA Group Aug. 2024 – Feb.2025, Hong Kong, China
Research Intern
SenseTime Feb. 2022 – Oct. 2022, Beijing, China
Research Intern
SmartMore Jun. 2020 – Jul. 2021, Hong Kong, China
Researcher
Huawei Noah's Ark Lab, AI Theory Group Jan. 2020 – May. 2020, Hong Kong, China
Research Intern

Teaching

2021 Fall: ENGG1110C Problem Solving By Programming
2022 Spring: ENGG2100C Data Structure
2022 Fall: ENGG1110C Problem Solving By Programming
2023 Spring: CMSC5743 Efficient Computing of Deep Neural Networks
2023 Fall: CMSC5743 Efficient Computing of Deep Neural Networks

Honours and Awards

Best Paper Candidate, MLCAD, 2022
Full Postgraduate Studentship, CUHK, 2021-2024
Top Student Award, HKUST, 2020-2021
Huineng Scholarship, XJTU, 2014-2015
Siyuan Scholarship, XJTU, 2015-2016

Academic Service

Conference Review: