ZHANG Xinyun

Biography

I am currently an Assistant Professor at the School of Information Science and Technology (SIST), ShanghaiTech University. 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 from Xi'an Jiaotong University and my M.Sc. degree from The Hong Kong University of Science and Technology. My research interests include AI4EDA, with a focus on design for manufacturing (DFM) and IC physical design.

Opening: I am recruiting Master and PhD students for September 2026 enrollment. Interested candidates are welcome to contact me via email.

* denotes equal contribution.

2026

[C18] Zixiao Wang, Jieya Zhou, Xinyun Zhang, Shoubo Hu, Farzan Farnia, Bei Yu, "DiffResist: Physics-Constrained Diffusion for Photoresist Modeling", IEEE/ACM Design, Automation and Test in Europe (DATE), 2026.
[C17] Peng Xu, Ziyang Yu, Yuan Pu, Xinyun Zhang, Donger Luo, Hao Geng, Siyuan Xu, Tsung-Yi Ho, Bei Yu, "RATuner: Retrieval-Augmented VLSI Flow Design Parameter Tuning Framework", IEEE/ACM Design, Automation and Test in Europe (DATE), 2026.
[C16] Wenbo Xu, Silin Chen, Yibo Huang, Xinyun Zhang, Zixiao Wang, Bei Yu, Ningmu Zou, "Node2Node: Node Adaptation with Transformer for Cross-Node Hotspot Detection", IEEE/ACM Design, Automation and Test in Europe (DATE), 2026.
[C15] Xinyun Zhang*, Zixiao Wang*, Yurui Kuang, Bei Yu, "Video-based Visible-Event Cross-modal Person Re-identification for Edge AI Surveillance Systems", IEEE/ACM Asia and South Pacific Design Automation Conference (ASPDAC), 2026.
[J5] Xinyun Zhang, Yuyang Chen, Yiwen Wu, Su Zheng, Ran Chen, Min Li, Hao Geng, Binwu Zhu, Mingxuan Yuan, Bei Yu, "From Contrastive to Generative Alignment: Large-Scale Hierarchical Multi-Modal Pre-training for Hotspot Detection", IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), 2026.

2025

[C14] 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, "MM-GRADE: A Multi-Modal EDA Tool Documentation QA Framework Leveraging Retrieval Augmented Generation", IEEE/ACM International Conference on Computer-Aided Design (ICCAD), 2025.
[J4] Yuyang Chen, Qi Sun, Su Zheng, Xinyun Zhang, Bei Yu, Hao Geng, "HyDAS: Hybrid Domain Deformed Attention for Selective Hotspot Detection", IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), 2025.
[J3] Xinyun Zhang*, Binwu Zhu*, Fangzhou Liu, Jiaxi Jiang, Ziyi Wang, Peng Xu, Hong Xu, Bei Yu, "Pre-Routing Timing Prediction Across Different Technology Nodes", IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), 2025.

2024

[C13] Xinyun Zhang*, Binwu Zhu*, Fangzhou Liu, Ziyi Wang, Peng Xu, Hong Xu, Bei Yu, "Disentangle, Align and Generalize: Learning A Timing Predictor from Different Technology Nodes", ACM/IEEE Design Automation Conference (DAC), 2024.
[C12] Xinyun Zhang, Su Zheng, Guojin Chen, Binwu Zhu, Hong Xu, Bei Yu, "Fracturing-aware Curvilinear ILT via Circular E-beam Mask Writer", ACM/IEEE Design Automation Conference (DAC), 2024.
[C11] Xufeng Yao, Fanbin Lu, Yuechen Zhang, Xinyun Zhang, Wenqian Zhao, Bei Yu, "Progressively Knowledge Distillation via Re-parameterizing Diffusion Reverse Process", AAAI Conference on Artificial Intelligence (AAAI), 2024.
[C10] Haoyuan Wu*, Xinyun Zhang*, Peng Xu, Peiyu Liao, Xufeng Yao, Bei Yu, "p-Laplacian Adaptation for Generative Pre-trained Vision-Language Models", AAAI Conference on Artificial Intelligence (AAAI), 2024 (Oral).
[J2] Haoyuan Wu, Zhuolun He, Xinyun Zhang, Xufeng Yao, Su Zheng, Haisheng Zheng, Bei Yu, "ChatEDA: A Large Language Model Powered Autonomous Agent for EDA", IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), 2024.

2023

[C9] Haochen Tan, Han Wu, Wei Shao, Xinyun Zhang, Mingjie Zhan, Zhaohui Hou, Ding Liang, Linqi Song, "Reconstruct Before Summarize: An Efficient Two-Step Framework for Condensing and Summarizing Meeting Transcripts", Empirical Methods in Natural Language Processing (EMNLP), 2023.
[C8] Zhuolun He, Haoyuan Wu, Xinyun Zhang, Xufeng Yao, Su Zheng, Haisheng Zheng and Bei Yu, "ChatEDA: A Large Language Model Powered Autonomous Agent for EDA", ACM/IEEE Workshop on Machine Learning for CAD (MLCAD), 2023.
[C7] Wanli Chen, Xufeng Yao, Xinyun Zhang, Bei Yu, "Efficient Deep Space Filling Curve", IEEE International Conference on Computer Vision (ICCV), 2023.
[J1] Binwu Zhu, Xinyun Zhang, Yibo Lin, Bei Yu, Martin Wong, "DRC-SG 2.0: Efficient Design Rule Checking Script Generation via Key Information Extraction", ACM Transactions on Design Automation of Electronic Systems (TODAES), 2023.

2022

[C6] Binwu Zhu, Xinyun Zhang, Yibo Lin, Bei Yu, Martin Wong, "Efficient Design Rule Checking Script Generation via Key Information Extraction", ACM/IEEE Workshop on Machine Learning for CAD (MLCAD), 2022 (Best Paper Award Nomination).
[C5] Xufeng Yao, Yang Bai, Xinyun Zhang, Yuechen Zhang, Qi Sun, Ran Chen, Ruiyu Li, Bei Yu, "PCL: Proxy-based Contrastive Learning for Domain Generalization", IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022.
[C4] Qi Sun, Xinyun Zhang , Hao Geng, Yuxuan Zhao, Yang Bai, Haisheng Zheng, Bei Yu, "GTuner: Tuning DNN Computations on GPU via Graph Attention Network", ACM/IEEE Design Automation Conference (DAC), 2022.
[C3] Xinyun Zhang , Binwu Zhu, Xufeng Yao, Qi Sun, Ruiyu Li, Bei Yu, "Context-based Contrastive Learning for Scene Text Recognition", AAAI Conference on Artificial Intelligence (AAAI), 2022.

2021

[C2] Qi Sun, Chen Bai, Tinghuan Chen, Hao Geng, Xinyun Zhang, Yang Bai, Bei Yu, "Fast and Efficient DNN Deployment via Deep Gaussian Transfer Learning", IEEE International Conference on Computer Vision (ICCV), 2021.
[C1] Binwu Zhu, Ran Chen, Xinyun Zhang, Fan Yang, Xuan Zeng, Bei Yu, Martin D.F. Wong, "Hotspot Detection via Multi-task Learning and Transformer Encoder", IEEE/ACM International Conference on Computer-Aided Design (ICCAD), 2021.

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