Zhiyao Xie

According to our database, Zhiyao Xie authored at least 37 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Toward Fully Automated Machine Learning for Routability Estimator Development.

Chen-Chia Chang, Jingyu Pan, Zhiyao Xie, Tunhou Zhang, Jiang Hu, Yiran Chen

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., March, 2024

CAMU-Net: Copy-move forgery detection utilizing coordinate attention and multi-scale feature fusion-based up-sampling.

Kaiqi Zhao, Xiaochen Yuan, Tong Liu, Yan Xiang, Zhiyao Xie, Guoheng Huang, Li Feng

Expert Syst. Appl., March, 2024

Annotating Slack Directly on Your Verilog: Fine-Grained RTL Timing Evaluation for Early Optimization.

Wenji Fang, Shang Liu, Hongce Zhang, Zhiyao Xie

CoRR, 2024

The Dawn of AI-Native EDA: Promises and Challenges of Large Circuit Models.

Lei Chen, Yiqi Chen, Zhufei Chu, Wenji Fang, Tsung-Yi Ho, Yu Huang, Sadaf Khan, Min Li, Xingquan Li, Yun Liang, Yibo Lin, Jinwei Liu, Yi Liu, Guojie Luo, Zhengyuan Shi, Guangyu Sun, Dimitrios Tsaras, Runsheng Wang, Ziyi Wang, Xinming Wei, Zhiyao Xie, Qiang Xu, Chenhao Xue, Evangeline F. Y. Young, Bei Yu, Mingxuan Yuan, Haoyi Zhang, Zuodong Zhang, Yuxiang Zhao, Hui-Ling Zhen, Ziyang Zheng, Binwu Zhu, Keren Zhu, Sunan Zou

CoRR, 2024

AssertLLM: Generating and Evaluating Hardware Verification Assertions from Design Specifications via Multi-LLMs.

Wenji Fang, Mengming Li, Min Li, Zhiyuan Yan, Shang Liu, Hongce Zhang, Zhiyao Xie

CoRR, 2024

SpecLLM: Exploring Generation and Review of VLSI Design Specification with Large Language Model.

Mengming Li, Wenji Fang, Qijun Zhang, Zhiyao Xie

CoRR, 2024

2023

SPA-Net: A Deep Learning Approach Enhanced Using a Span-Partial Structure and Attention Mechanism for Image Copy-Move Forgery Detection.

Kaiqi Zhao, Xiaochen Yuan, Zhiyao Xie, Yan Xiang, Guoheng Huang, Li Feng

Sensors, July, 2023

The Dark Side: Security and Reliability Concerns in Machine Learning for EDA.

Zhiyao Xie, Jingyu Pan, Chen-Chia Chang, Jiang Hu, Yiran Chen

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., April, 2023

RTLCoder: Outperforming GPT-3.5 in Design RTL Generation with Our Open-Source Dataset and Lightweight Solution.

Shang Liu, Wenji Fang, Yao Lu, Qijun Zhang, Hongce Zhang, Zhiyao Xie

CoRR, 2023

EDALearn: A Comprehensive RTL-to-Signoff EDA Benchmark for Democratized and Reproducible ML for EDA Research.

Jingyu Pan, Chen-Chia Chang, Zhiyao Xie, Yiran Chen

CoRR, 2023

RTLLM: An Open-Source Benchmark for Design RTL Generation with Large Language Model.

Yao Lu, Shang Liu, Qijun Zhang, Zhiyao Xie

CoRR, 2023

Security and Reliability Challenges in Machine Learning for EDA: Latest Advances.

Zhiyao Xie, Tao Zhang, Yifeng Peng

Proceedings of the 24th International Symposium on Quality Electronic Design, 2023

Efficient Runtime Power Modeling with On-Chip Power Meters.

Zhiyao Xie

Proceedings of the 2023 International Symposium on Physical Design, 2023

PANDA: Architecture-Level Power Evaluation by Unifying Analytical and Machine Learning Solutions.

Qijun Zhang, Shiyu Li, Guanglei Zhou, Jingyu Pan, Chen-Chia Chang, Yiran Chen, Zhiyao Xie

Proceedings of the IEEE/ACM International Conference on Computer Aided Design, 2023

MasterRTL: A Pre-Synthesis PPA Estimation Framework for Any RTL Design.

Wenji Fang, Yao Lu, Shang Liu, Qijun Zhang, Ceyu Xu, Lisa Wu Wills, Hongce Zhang, Zhiyao Xie

Proceedings of the IEEE/ACM International Conference on Computer Aided Design, 2023

FADO: Floorplan-Aware Directive Optimization for High-Level Synthesis Designs on Multi-Die FPGAs.

Linfeng Du, Tingyuan Liang, Sharad Sinha, Zhiyao Xie, Wei Zhang

Proceedings of the 2023 ACM/SIGDA International Symposium on Field Programmable Gate Arrays, 2023

Deep Subspace K-Means Clustering for Syringe Defect Detection Without Defective Samples.

Fei Yan, Xiaodong Wang, Longfu Hong, Zhiyao Xie

Proceedings of the Design Studies and Intelligence Engineering, 2023

PROPHET: Predictive On-Chip Power Meter in Hardware Accelerator for DNN.

Jian Peng, Tingyuan Liang, Zhiyao Xie, Wei Zhang

Proceedings of the 60th ACM/IEEE Design Automation Conference, 2023

PertNAS: Architectural Perturbations for Memory-Efficient Neural Architecture Search.

Afzal Ahmad, Zhiyao Xie, Wei Zhang

Proceedings of the 60th ACM/IEEE Design Automation Conference, 2023

Fully Automated Machine Learning Model Development for Analog Placement Quality Prediction.

Chen-Chia Chang, Jingyu Pan, Zhiyao Xie, Yaguang Li, Yishuang Lin, Jiang Hu, Yiran Chen

Proceedings of the 28th Asia and South Pacific Design Automation Conference, 2023

Rethink before Releasing Your Model: ML Model Extraction Attack in EDA.

Chen-Chia Chang, Jingyu Pan, Zhiyao Xie, Jiang Hu, Yiran Chen

Proceedings of the 28th Asia and South Pacific Design Automation Conference, 2023

2022

Preplacement Net Length and Timing Estimation by Customized Graph Neural Network.

Zhiyao Xie, Rongjian Liang, Xiaoqing Xu, Jiang Hu, Chen-Chia Chang, Jingyu Pan, Yiran Chen

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022

Intelligent Circuit Design and Implementation with Machine Learning.

Zhiyao Xie

CoRR, 2022

The Dark Side: Security Concerns in Machine Learning for EDA.

Zhiyao Xie, Jingyu Pan, Chen-Chia Chang, Yiran Chen

CoRR, 2022

DEEP: Developing Extremely Efficient Runtime On-Chip Power Meters.

Zhiyao Xie, Shiyu Li, Mingyuan Ma, Chen-Chia Chang, Jingyu Pan, Yiran Chen, Jiang Hu

Proceedings of the 41st IEEE/ACM International Conference on Computer-Aided Design, 2022

Robustify ML-Based Lithography Hotspot Detectors.

Jingyu Pan, Chen-Chia Chang, Zhiyao Xie, Jiang Hu, Yiran Chen

Proceedings of the 41st IEEE/ACM International Conference on Computer-Aided Design, 2022

Towards collaborative intelligence: routability estimation based on decentralized private data.

Jingyu Pan, Chen-Chia Chang, Zhiyao Xie, Ang Li, Minxue Tang, Tunhou Zhang, Jiang Hu, Yiran Chen

Proceedings of the DAC '22: 59th ACM/IEEE Design Automation Conference, San Francisco, California, USA, July 10, 2022

2021

APOLLO: An Automated Power Modeling Framework for Runtime Power Introspection in High-Volume Commercial Microprocessors.

Zhiyao Xie, Xiaoqing Xu, Matt Walker, Joshua Knebel, Kumaraguru Palaniswamy, Nicolas Hebert, Jiang Hu, Huanrui Yang, Yiran Chen, Shidhartha Das

Proceedings of the MICRO '21: 54th Annual IEEE/ACM International Symposium on Microarchitecture, 2021

Automatic Routability Predictor Development Using Neural Architecture Search.

Chen-Chia Chang, Jingyu Pan, Tunhou Zhang, Zhiyao Xie, Jiang Hu, Weiyi Qi, Chung-Wei Lin, Rongjian Liang, Joydeep Mitra, Elias Fallon, Yiran Chen

Proceedings of the IEEE/ACM International Conference On Computer Aided Design, 2021

Net2: A Graph Attention Network Method Customized for Pre-Placement Net Length Estimation.

Zhiyao Xie, Rongjian Liang, Xiaoqing Xu, Jiang Hu, Yixiao Duan, Yiran Chen

Proceedings of the ASPDAC '21: 26th Asia and South Pacific Design Automation Conference, 2021

2020

Fast IR Drop Estimation with Machine Learning.

Zhiyao Xie, Hai Li, Xiaoqing Xu, Jiang Hu, Yiran Chen

CoRR, 2020

Fast IR Drop Estimation with Machine Learning : Invited Paper.

Zhiyao Xie, Hai Li, Xiaoqing Xu, Jiang Hu, Yiran Chen

Proceedings of the IEEE/ACM International Conference On Computer Aided Design, 2020

Routing-Free Crosstalk Prediction.

Rongjian Liang, Zhiyao Xie, Jinwook Jung, Vishnavi Chauha, Yiran Chen, Jiang Hu, Hua Xiang, Gi-Joon Nam

Proceedings of the IEEE/ACM International Conference On Computer Aided Design, 2020

PowerNet: Transferable Dynamic IR Drop Estimation via Maximum Convolutional Neural Network.

Zhiyao Xie, Haoxing Ren, Brucek Khailany, Ye Sheng, Santosh Santosh, Jiang Hu, Yiran Chen

Proceedings of the 25th Asia and South Pacific Design Automation Conference, 2020

FIST: A Feature-Importance Sampling and Tree-Based Method for Automatic Design Flow Parameter Tuning.

Zhiyao Xie, Guan-Qi Fang, Yu-Hung Huang, Haoxing Ren, Yanqing Zhang, Brucek Khailany, Shao-Yun Fang, Jiang Hu, Yiran Chen, Erick Carvajal Barboza

Proceedings of the 25th Asia and South Pacific Design Automation Conference, 2020

2019

Routability-Driven Macro Placement with Embedded CNN-Based Prediction Model.

Yu-Hung Huang, Zhiyao Xie, Guan-Qi Fang, Tao-Chun Yu, Haoxing Ren, Shao-Yun Fang, Yiran Chen, Jiang Hu

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2019

2018

RouteNet: routability prediction for mixed-size designs using convolutional neural network.

Zhiyao Xie, Yu-Hung Huang, Guan-Qi Fang, Haoxing Ren, Shao-Yun Fang, Yiran Chen, Nvidia Corporation

Proceedings of the International Conference on Computer-Aided Design, 2018