Publications
DAC’23 Afzal Ahmad, Zhiyao Xie, Wei Zhang, “PertNAS: Architectural Perturbations for Memory-Efficient Neural Architecture Search”. Design Automation Conference (DAC), 2023.
DAC’23 Jian PENG, Tingyuan Liang, Zhiyao Xie, Wei Zhang, “PROPHET: Predictive On-Chip Power Meter for Hardware DNN Accelerator”. Design Automation Conference (DAC), 2023.
ISPD’23 Zhiyao Xie, “Efficient Runtime Power Modeling with On-Chip Power Meters (Invited)”. International Symposium on Physical Design (ISPD), 2023. pdf
ISQED’23 Zhiyao Xie, Tao Zhang, and Yifeng Peng, “Security and Reliability Challenges in Machine Learning for EDA: Latest Advances (Invited)”. International Symposium on Quality Electronic Design (ISQED), 2023. pdf
FPGA’23 Linfeng Du, Tingyuan Liang, Sharad Sinha, Zhiyao Xie, and Wei Zhang. “FADO: Floorplan-Aware Directive Optimization for High-Level Synthesis Designs on Multi-Die FPGAs”. International Symposium on Field-Programmable Gate Arrays (FPGA), 2023. pdf
ASPDAC’23 Chen-Chia Chang, Jingyu Pan, Zhiyao Xie, Jiang Hu, and Yiran Chen. “Rethink before Releasing your Model: ML Model Extraction Attack in EDA”. Asia and South Pacific Design Automation Conference (ASP-DAC), 2023. (Best Paper Award) pdf
ASPDAC’23 Chen-Chia Chang, Jingyu Pan, Zhiyao Xie, Yaguang Li, Yishuang Lin, Jiang Hu, and Yiran Chen. “Fully Automated Machine Learning Model Development for Analog Placement Quality Prediction”. Asia and South Pacific Design Automation Conference (ASP-DAC), 2023. (Best Paper Candidate) pdf
ICCAD’22 Zhiyao Xie, Shiyu Li, Mingyuan Ma, Chen-Chia Chang, Jingyu Pan, Yiran Chen, and Jiang Hu. “DEEP: Developing Extremely Efficient Runtime On-Chip Power Meters”. International Conference on Computer Aided Design (ICCAD), 2022. ACM pdf
ICCAD’22 Jingyu Pan, Chen-Chia Chang, Zhiyao Xie, Jiang Hu, and Yiran Chen. “Robustify ML-based Lithography Hotspot Detectors”. International Conference on Computer Aided Design (ICCAD), 2022. ACM pdf
TCAD’22 Zhiyao Xie, Jingyu Pan, Chen-Chia Chang, Jiang Hu, and Yiran Chen. “The Dark Side: Security and Reliability Concerns in Machine Learning for EDA”. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), 2022. IEEE pdf
DAC’22 Jingyu Pan, Chen-Chia Chang, Zhiyao Xie, Ang Li, Minxue Tang, Tunhou Zhang, Jiang Hu, and Yiran Chen. “Towards Collaborative Intelligence: Routability Estimation based on Decentralized Private Data”. Design Automation Conference (DAC), 2022. ACM pdf
TCAD’22 Zhiyao Xie, Rongjian Liang, Xiaoqing Xu, Jiang Hu, Chen-Chia Chang, Jingyu Pan, and Yiran Chen, “Pre-Placement Net Length and Timing Estimation by Customized Graph Neural Network”. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), 2022. IEEE pdf
Dissertation Zhiyao Xie, “Intelligent Circuit Design and Implementation with Machine Learning”. PhD Dissertation of Duke University, 2022. Proquest pdf (EDAA Outstanding Dissertation Award)
MICRO’21 Zhiyao Xie, Xiaoqing Xu, Matt Walker, Joshua Knebel, Kumaraguru Palaniswamy, Nicolas Hebert, Jiang Hu, Huanrui Yang, Yiran Chen, and Shidhartha Das, “APOLLO: An Automated Power Modeling Framework for Runtime Power Introspection in High-Volume Commercial Microprocessors”. International Symposium on Microarchitecture (MICRO), 2021. ACM pdf (Best Paper Award)
ICCAD’21 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, “Automatic Routability Predictor Development Using Neural Architecture Search”. International Conference on Computer Aided Design (ICCAD), 2021. ACM pdf
ASPDAC’21 Zhiyao Xie, Rongjian Liang, Xiaoqing Xu, Jiang Hu, Yixiao Duan, and Yiran Chen, “Net$^2$: A Graph Attention Network Method Customized for Pre-Placement Net Length Estimation”. Asia and South Pacific Design Automation Conference (ASPDAC), 2021. IEEE pdf
ICCAD’20 Zhiyao Xie, Hai Li, Xiaoqing Xu, Jiang Hu, and Yiran Chen, “Fast IR Drop Estimation with Machine Learning (Invited)”. International Conference on Computer Aided Design (ICCAD), 2020. IEEE pdf
ICCAD’20 Rongjian Liang, Zhiyao Xie, Jinwook Jung, Vishnavi Chauha, Yiran Chen, Jiang Hu, Hua Xiang, and Gi-Joon Nam, “Routing-Free Crosstalk Prediction”. International Conference on Computer Aided Design (ICCAD), 2020. IEEE pdf
ASPDAC’20 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, “FIST: A Feature-Importance Sampling and Tree-Based Method for Automatic Design Flow Parameter Tuning”. Asia and South Pacific Design Automation Conference (ASPDAC), 2020. IEEE pdf
ASPDAC’20 Zhiyao Xie, Haoxing Ren, Brucek Khailany, Ye Sheng, Santosh Santosh, Jiang Hu, and Yiran Chen, “PowerNet: Transferable Dynamic IR Drop Estimation via Maximum Convolutional Neural Network”. Asia and South Pacific Design Automation Conference (ASPDAC), 2020. IEEE pdf
DATE’19 Yu-Hung Huang, Zhiyao Xie, Guan-Qi Fang, Tao-Chun Yu, Haoxing Ren, Shao-Yun Fang, Yiran Chen, and Jiang Hu, “Routability-Driven Macro Placement with Embedded CNN-Based Prediction Model”. Design, Automation and Test in Europe Conference (DATE), 2019. IEEE pdf
ICCAD’18 Zhiyao Xie, Yu-Hung Huang, Guan-Qi Fang, Haoxing Ren, Shao-Yun Fang, Yiran Chen, and Jiang Hu, “RouteNet: Routability Prediction for Mixed-Size Designs Using Convolutional Neural Network”. International Conference on Computer Aided Design (ICCAD), 2018. IEEE pdf
Book Chapter Zhiyao Xie, Jingyu Pan, Chen-Chia Chang, Rongjian Liang, Erick Carvajal Barboza, and Yiran Chen, “Chapter 2: Deep Learning for Routability Prediction”. In Book: Machine Learning Applications in Electronic Design Automation. Springer pdf
Book Chapter Rongjian Liang, Zhiyao Xie, Erick Carvajal Barboza, and Jiang Hu, “Chapter 3: Net-Based Machine Learning-Aided Approaches for Timing and Crosstalk Estimation”. In Book: Machine Learning Applications in Electronic Design Automation. Springer pdf
Media
- Zhiyao Xie, “Will AI change EDA? (Chinese)”, StarryHeavensAbove, 2022. 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
- Zhiyao Xie, “Review of Top EDA Conference: DAC’21 (Chinese)”, AI Tech Review / AI 科技评论, 2021. News pdf