Zhiyao Xie

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 48

Top Topics

Fully Automated

Convolutional Neural Network

Top Venues

Publications

Wenji Fang, Mengming Li, Min Li, Zhiyuan Yan, Shang Liu, Hongce Zhang, Zhiyao Xie
AssertLLM: Generating and Evaluating Hardware Verification Assertions from Design Specifications via Multi-LLMs. CoRR (2024)
Chen-Chia Chang, Jingyu Pan, Zhiyao Xie, Tunhou Zhang, Jiang Hu, Yiran Chen
Toward Fully Automated Machine Learning for Routability Estimator Development. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 43 (3) (2024)
Wenji Fang, Shang Liu, Hongce Zhang, Zhiyao Xie
Annotating Slack Directly on Your Verilog: Fine-Grained RTL Timing Evaluation for Early Optimization. CoRR (2024)
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
The Dawn of AI-Native EDA: Promises and Challenges of Large Circuit Models. CoRR (2024)
Yao Lu, Shang Liu, Qijun Zhang, Zhiyao Xie
RTLLM: An Open-Source Benchmark for Design RTL Generation with Large Language Model. ASPDAC (2024)
Tao Zhang, Haoyu Yang, Kang Liu, Zhiyao Xie
APPLE: An Explainer of ML Predictions on Circuit Layout at the Circuit-Element Level. ASPDAC (2024)
Kaiqi Zhao, Xiaochen Yuan, Tong Liu, Yan Xiang, Zhiyao Xie, Guoheng Huang, Li Feng
CAMU-Net: Copy-move forgery detection utilizing coordinate attention and multi-scale feature fusion-based up-sampling. Expert Syst. Appl. 238 (Part C) (2024)
Mengming Li, Wenji Fang, Qijun Zhang, Zhiyao Xie
SpecLLM: Exploring Generation and Review of VLSI Design Specification with Large Language Model. CoRR (2024)
Afzal Ahmad, Linfeng Du, Zhiyao Xie, Wei Zhang
Accel-NASBench: Sustainable Benchmarking for Accelerator-Aware NAS. CoRR (2024)
Yao Lu, Shang Liu, Qijun Zhang, Zhiyao Xie
RTLLM: An Open-Source Benchmark for Design RTL Generation with Large Language Model. CoRR (2023)
Wenji Fang, Yao Lu, Shang Liu, Qijun Zhang, Ceyu Xu, Lisa Wu Wills, Hongce Zhang, Zhiyao Xie
MasterRTL: A Pre-Synthesis PPA Estimation Framework for Any RTL Design. CoRR (2023)
Jian Peng, Tingyuan Liang, Zhiyao Xie, Wei Zhang
PROPHET: Predictive On-Chip Power Meter in Hardware Accelerator for DNN. DAC (2023)
Zhiyao Xie
Efficient Runtime Power Modeling with On-Chip Power Meters. ISPD (2023)
Afzal Ahmad, Zhiyao Xie, Wei Zhang
PertNAS: Architectural Perturbations for Memory-Efficient Neural Architecture Search. DAC (2023)
Chen-Chia Chang, Jingyu Pan, Zhiyao Xie, Jiang Hu, Yiran Chen
Rethink before Releasing Your Model: ML Model Extraction Attack in EDA. ASP-DAC (2023)
Kaiqi Zhao, Xiaochen Yuan, Zhiyao Xie, Yan Xiang, Guoheng Huang, Li Feng
SPA-Net: A Deep Learning Approach Enhanced Using a Span-Partial Structure and Attention Mechanism for Image Copy-Move Forgery Detection. Sensors 23 (14) (2023)
Wenji Fang, Yao Lu, Shang Liu, Qijun Zhang, Ceyu Xu, Lisa Wu Wills, Hongce Zhang, Zhiyao Xie
MasterRTL: A Pre-Synthesis PPA Estimation Framework for Any RTL Design. ICCAD (2023)
Zhiyao Xie, Tao Zhang, Yifeng Peng
Security and Reliability Challenges in Machine Learning for EDA: Latest Advances. ISQED (2023)
Fei Yan, Xiaodong Wang, Longfu Hong, Zhiyao Xie
Deep Subspace K-Means Clustering for Syringe Defect Detection Without Defective Samples. DSIE (2023)
Qijun Zhang, Shiyu Li, Guanglei Zhou, Jingyu Pan, Chen-Chia Chang, Yiran Chen, Zhiyao Xie
PANDA: Architecture-Level Power Evaluation by Unifying Analytical and Machine Learning Solutions. CoRR (2023)
Chen-Chia Chang, Jingyu Pan, Zhiyao Xie, Yaguang Li, Yishuang Lin, Jiang Hu, Yiran Chen
Fully Automated Machine Learning Model Development for Analog Placement Quality Prediction. ASP-DAC (2023)
Linfeng Du, Tingyuan Liang, Sharad Sinha, Zhiyao Xie, Wei Zhang
FADO: Floorplan-Aware Directive Optimization for High-Level Synthesis Designs on Multi-Die FPGAs. FPGA (2023)
Qijun Zhang, Shiyu Li, Guanglei Zhou, Jingyu Pan, Chen-Chia Chang, Yiran Chen, Zhiyao Xie
PANDA: Architecture-Level Power Evaluation by Unifying Analytical and Machine Learning Solutions. ICCAD (2023)
Jingyu Pan, Chen-Chia Chang, Zhiyao Xie, Yiran Chen
EDALearn: A Comprehensive RTL-to-Signoff EDA Benchmark for Democratized and Reproducible ML for EDA Research. CoRR (2023)
Shang Liu, Wenji Fang, Yao Lu, Qijun Zhang, Hongce Zhang, Zhiyao Xie
RTLCoder: Outperforming GPT-3.5 in Design RTL Generation with Our Open-Source Dataset and Lightweight Solution. CoRR (2023)
Zhiyao Xie, Jingyu Pan, Chen-Chia Chang, Jiang Hu, Yiran Chen
The Dark Side: Security and Reliability Concerns in Machine Learning for EDA. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 42 (4) (2023)
Linfeng Du, Tingyuan Liang, Sharad Sinha, Zhiyao Xie, Wei Zhang
FADO: Floorplan-Aware Directive Optimization for High-Level Synthesis Designs on Multi-Die FPGAs. CoRR (2022)
Zhiyao Xie, Shiyu Li, Mingyuan Ma, Chen-Chia Chang, Jingyu Pan, Yiran Chen, Jiang Hu
DEEP: Developing Extremely Efficient Runtime On-Chip Power Meters. ICCAD (2022)
Jingyu Pan, Chen-Chia Chang, Zhiyao Xie, Jiang Hu, Yiran Chen
Robustify ML-Based Lithography Hotspot Detectors. ICCAD (2022)
Jingyu Pan, Chen-Chia Chang, Zhiyao Xie, Ang Li, Minxue Tang, Tunhou Zhang, Jiang Hu, Yiran Chen
Towards Collaborative Intelligence: Routability Estimation based on Decentralized Private Data. CoRR (2022)
Zhiyao Xie, Jingyu Pan, Chen-Chia Chang, Yiran Chen
The Dark Side: Security Concerns in Machine Learning for EDA. CoRR (2022)
Jingyu Pan, Chen-Chia Chang, Zhiyao Xie, Ang Li, Minxue Tang, Tunhou Zhang, Jiang Hu, Yiran Chen
Towards collaborative intelligence: routability estimation based on decentralized private data. DAC (2022)
Zhiyao Xie
Intelligent Circuit Design and Implementation with Machine Learning. CoRR (2022)
Zhiyao Xie, Rongjian Liang, Xiaoqing Xu, Jiang Hu, Chen-Chia Chang, Jingyu Pan, Yiran Chen
Preplacement Net Length and Timing Estimation by Customized Graph Neural Network. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41 (11) (2022)
Zhiyao Xie, Rongjian Liang, Xiaoqing Xu, Jiang Hu, Yixiao Duan, Yiran Chen
Net2: A Graph Attention Network Method Customized for Pre-Placement Net Length Estimation. ASP-DAC (2021)
Zhiyao Xie, Xiaoqing Xu, Matt Walker, Joshua Knebel, Kumaraguru Palaniswamy, Nicolas Hebert, Jiang Hu, Huanrui Yang, Yiran Chen, Shidhartha Das
APOLLO: An Automated Power Modeling Framework for Runtime Power Introspection in High-Volume Commercial Microprocessors. MICRO (2021)
Chen-Chia Chang, Jingyu Pan, Tunhou Zhang, Zhiyao Xie, Jiang Hu, Weiyi Qi, Chung-Wei Lin, Rongjian Liang, Joydeep Mitra, Elias Fallon, Yiran Chen
Automatic Routability Predictor Development Using Neural Architecture Search. ICCAD (2021)
Zhiyao Xie, Guan-Qi Fang, Yu-Hung Huang, Haoxing Ren, Yanqing Zhang, Brucek Khailany, Shao-Yun Fang, Jiang Hu, Yiran Chen, Erick Carvajal Barboza
FIST: A Feature-Importance Sampling and Tree-Based Method for Automatic Design Flow Parameter Tuning. CoRR (2020)
Zhiyao Xie, Haoxing Ren, Brucek Khailany, Ye Sheng, Santosh Santosh, Jiang Hu, Yiran Chen
PowerNet: Transferable Dynamic IR Drop Estimation via Maximum Convolutional Neural Network. CoRR (2020)
Zhiyao Xie, Rongjian Liang, Xiaoqing Xu, Jiang Hu, Yixiao Duan, Yiran Chen
Net2: A Graph Attention Network Method Customized for Pre-Placement Net Length Estimation. CoRR (2020)
Jingyu Pan, Chen-Chia Chang, Tunhou Zhang, Zhiyao Xie, Jiang Hu, Weiyi Qi, Chung-Wei Lin, Rongjian Liang, Joydeep Mitra, Elias Fallon, Yiran Chen
Automatic Routability Predictor Development Using Neural Architecture Search. CoRR (2020)
Zhiyao Xie, Hai Li, Xiaoqing Xu, Jiang Hu, Yiran Chen
Fast IR Drop Estimation with Machine Learning : Invited Paper. ICCAD (2020)
Rongjian Liang, Zhiyao Xie, Jinwook Jung, Vishnavi Chauha, Yiran Chen, Jiang Hu, Hua Xiang, Gi-Joon Nam
Routing-Free Crosstalk Prediction. ICCAD (2020)
Zhiyao Xie, Guan-Qi Fang, Yu-Hung Huang, Haoxing Ren, Yanqing Zhang, Brucek Khailany, Shao-Yun Fang, Jiang Hu, Yiran Chen, Erick Carvajal Barboza
FIST: A Feature-Importance Sampling and Tree-Based Method for Automatic Design Flow Parameter Tuning. ASP-DAC (2020)
Zhiyao Xie, Haoxing Ren, Brucek Khailany, Ye Sheng, Santosh Santosh, Jiang Hu, Yiran Chen
PowerNet: Transferable Dynamic IR Drop Estimation via Maximum Convolutional Neural Network. ASP-DAC (2020)
Zhiyao Xie, Hai Li, Xiaoqing Xu, Jiang Hu, Yiran Chen
Fast IR Drop Estimation with Machine Learning. CoRR (2020)
Yu-Hung Huang, Zhiyao Xie, Guan-Qi Fang, Tao-Chun Yu, Haoxing Ren, Shao-Yun Fang, Yiran Chen, Jiang Hu
Routability-Driven Macro Placement with Embedded CNN-Based Prediction Model. DATE (2019)
Zhiyao Xie, Yu-Hung Huang, Guan-Qi Fang, Haoxing Ren, Shao-Yun Fang, Yiran Chen, Nvidia Corporation
RouteNet: routability prediction for mixed-size designs using convolutional neural network. ICCAD (2018)