Peer-Reviewed Publications
ASPDAC’24 RTLLM: An Open-Source Benchmark for Design RTL Generation with Large Language Model
Yao Lu, Shang Liu, Qijun Zhang, and Zhiyao Xie
Asia and South Pacific Design Automation Conference (ASP-DAC) 2024. Arxiv pdfASPDAC’24 APPLE: An Explainer of ML Predictions on Circuit Layout at the Circuit-Element Level
Tao Zhang, Haoyu Yang, Kang Liu, and Zhiyao Xie
Asia and South Pacific Design Automation Conference (ASP-DAC) 2024.ICCAD’23 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, and Zhiyao Xie
IEEE/ACM International Conference on Computer Aided Design (ICCAD), 2023.ICCAD’23 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, and Zhiyao Xie
IEEE/ACM International Conference on Computer Aided Design (ICCAD), 2023.DAC’23 PertNAS: Architectural Perturbations for Memory-Efficient Neural Architecture Search
Afzal Ahmad, Zhiyao Xie, and Wei Zhang
ACM/IEEE Design Automation Conference (DAC), 2023. (Acceptance rate=23%) pdfDAC’23 PROPHET: Predictive On-Chip Power Meter for Hardware DNN Accelerator
Jian PENG, Tingyuan Liang, Zhiyao Xie, and Wei Zhang
ACM/IEEE Design Automation Conference (DAC), 2023. (Acceptance rate=23%) pdfTCAD’23 The Dark Side: Security and Reliability Concerns in Machine Learning for EDA
Zhiyao Xie, Jingyu Pan, Chen-Chia Chang, Jiang Hu, and Yiran Chen
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), 2023. IEEE pdfISPD’23 Efficient Runtime Power Modeling with On-Chip Power Meters (Invited)
Zhiyao Xie
International Symposium on Physical Design (ISPD), 2023. ACM pdfISQED’23 Security and Reliability Challenges in Machine Learning for EDA: Latest Advances (Invited)
Zhiyao Xie, Tao Zhang, and Yifeng Peng
International Symposium on Quality Electronic Design (ISQED), 2023. IEEE pdfFPGA’23 FADO: Floorplan-Aware Directive Optimization for High-Level Synthesis Designs on Multi-Die FPGAs
Linfeng Du, Tingyuan Liang, Sharad Sinha, Zhiyao Xie, and Wei Zhang
ACM International Symposium on Field-Programmable Gate Arrays (FPGA), 2023. (Acceptance rate=28%) ACM pdfASPDAC’23 Rethink before Releasing your Model: ML Model Extraction Attack in EDA
Chen-Chia Chang, Jingyu Pan, Zhiyao Xie, Jiang Hu, and Yiran Chen
Asia and South Pacific Design Automation Conference (ASP-DAC), 2023. (Acceptance rate=31%) ACM pdf
Best Paper Award (2 awardees out of 328 submissions)ASPDAC’23 Fully Automated Machine Learning Model Development for Analog Placement Quality Prediction
Chen-Chia Chang, Jingyu Pan, Zhiyao Xie, Yaguang Li, Yishuang Lin, Jiang Hu, and Yiran Chen
Asia and South Pacific Design Automation Conference (ASP-DAC), 2023. (Acceptance rate=31%) ACM pdf
Best Paper Nomination (11 nominees out of 328 submissions)ICCAD’22 DEEP: Developing Extremely Efficient Runtime On-Chip Power Meters
Zhiyao Xie, Shiyu Li, Mingyuan Ma, Chen-Chia Chang, Jingyu Pan, Yiran Chen, and Jiang Hu
IEEE/ACM International Conference on Computer Aided Design (ICCAD), 2022. (Acceptance rate=22.5%) ACM pdfICCAD’22 Robustify ML-based Lithography Hotspot Detectors
Jingyu Pan, Chen-Chia Chang, Zhiyao Xie, Jiang Hu, and Yiran Chen
IEEE/ACM International Conference on Computer Aided Design (ICCAD), 2022. (Acceptance rate=22.5%) ACM pdfDAC’22 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, and Yiran Chen
ACM/IEEE Design Automation Conference (DAC), 2022. (Acceptance rate=23%) ACM pdfTCAD’22 Pre-Placement Net Length and Timing Estimation by Customized Graph Neural Network
Zhiyao Xie, Rongjian Liang, Xiaoqing Xu, Jiang Hu, Chen-Chia Chang, Jingyu Pan, and Yiran Chen
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), 2022. IEEE pdf
MICRO’21 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, and Shidhartha Das
IEEE/ACM International Symposium on Microarchitecture (MICRO), 2021. (Acceptance rate=22%) ACM pdf
Best Paper Award (1 awardee out of 430 submissions)ICCAD’21 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, and Yiran Chen
IEEE/ACM International Conference on Computer Aided Design (ICCAD), 2021. (Acceptance rate=23.5%) ACM pdfASPDAC’21 Net$^2$: A Graph Attention Network Method Customized for Pre-Placement Net Length Estimation
Zhiyao Xie, Rongjian Liang, Xiaoqing Xu, Jiang Hu, Yixiao Duan, and Yiran Chen
Asia and South Pacific Design Automation Conference (ASPDAC), 2021. (Acceptance rate=34%) IEEE pdfICCAD’20 Fast IR Drop Estimation with Machine Learning (Invited)
Zhiyao Xie, Hai Li, Xiaoqing Xu, Jiang Hu, and Yiran Chen
IEEE/ACM International Conference on Computer Aided Design (ICCAD), 2020. (Acceptance rate=27%) IEEE pdfICCAD’20 Routing-Free Crosstalk Prediction
Rongjian Liang, Zhiyao Xie, Jinwook Jung, Vishnavi Chauha, Yiran Chen, Jiang Hu, Hua Xiang, and Gi-Joon Nam
IEEE/ACM International Conference on Computer Aided Design (ICCAD), 2020. (Acceptance rate=27%) IEEE pdfASPDAC’20 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, and Erick Carvajal Barboza
Asia and South Pacific Design Automation Conference (ASPDAC), 2020. (Acceptance rate=31%) IEEE pdfASPDAC’20 PowerNet: Transferable Dynamic IR Drop Estimation via Maximum Convolutional Neural Network
Zhiyao Xie, Haoxing Ren, Brucek Khailany, Ye Sheng, Santosh Santosh, Jiang Hu, and Yiran Chen
Asia and South Pacific Design Automation Conference (ASPDAC), 2020. (Acceptance rate=31%) IEEE pdfDATE’19 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, and Jiang Hu
Design, Automation and Test in Europe Conference (DATE), 2019. (Acceptance rate=24%) IEEE pdfICCAD’18 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, and Jiang Hu
IEEE/ACM International Conference on Computer Aided Design (ICCAD), 2018. (Acceptance rate=24.5%) IEEE pdf
Book Chapter
Book Chapter’23 Chapter 2: Deep Learning for Routability Prediction
Zhiyao Xie, Jingyu Pan, Chen-Chia Chang, Rongjian Liang, Erick Carvajal Barboza, and Yiran Chen
In Book: Machine Learning Applications in Electronic Design Automation. Springer pdfBook Chapter’23 Chapter 3: Net-Based Machine Learning-Aided Approaches for Timing and Crosstalk Estimation
Rongjian Liang, Zhiyao Xie, Erick Carvajal Barboza, and Jiang Hu
In Book: Machine Learning Applications in Electronic Design Automation. Springer pdf
Dissertation
- Dissertation’22 Intelligent Circuit Design and Implementation with Machine Learning
Zhiyao Xie
PhD Dissertation of Duke University, 2022. Proquest pdf
ACM Outstanding Dissertation Award in EDA (1 awardee worldwide per year)
EDAA Outstanding Dissertation Award (4 awardees worldwide per year)
Patent
Patent Method and Apparatus for On-chip Power Metering Using Automated Selection of Signal Power Proxies
Xiaoqing Xu, Zhiyao Xie, and Shidhartha Das
US Patent US11726116B2, granted in 2023 PatentPatent IR Drop Prediction with Maximum Convolutional Neural Network
Zhiyao Xie, Haoxing Ren, Brucek Khailany, and Sheng Ye
US Patent US11645533B2, granted in 2023 PatentPatent Method and Apparatus for Power Measurement in Electronic Circuit Design and Analysis
Xiaoqing Xu, Zhiyao Xie, Shidhartha Das, Matthew James Walker, Kumara Guru Palaniswamy, and Matthew Paul Elwood
US Patent US20220164511A1, published in 2022, pending Patent
Media Coverage
- “SRC Computer Aided Test and Design Researchers Receive Big Awards,”
SRC CONNECTIONS Newsletter September, 2023. News png - “Prof. XIE Zhiyao Won Two Outstanding PhD Dissertation Awards in Electronic Design Automation,”
ACCESS Feature News, 2023. News pdf - “Prof. XIE Zhiyao Won Two Outstanding PhD Dissertation Awards in Electronic Design Automation,”
HKUST News, 2023. News pdf - “AI Models Microprocessor Performance in Real-Time,”
Duke University News, 2021. News pdf - “Fast, Accurate, and Low-cost: An Automated Power Analysis Framework (Chinese),”
AI Tech Review / AI 科技评论, 2021. News pdf - “A New Power Modeling Method APOLLO (Chinese),”
AI Era / 新智元, 2021. News pdf - “CPU Power Introspection at Lower Cost (Chinese),”
Synced / 机器之心, 2021. News pdf - “APOLLO: A Fast IC Measurement Solution (Chinese),”
China Science Daily / 中国科学报, 2021. News pdf
