Preprints

• 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, and Zhiyao Xie
  arXiv 2023. arXiv pdf code

• SpecLLM: Exploring Generation and Review of VLSI Design Specification with Large Language Model
  Mengming Li, Wenji Fang, Qijun Zhang, and Zhiyao Xie
  arXiv 2024. arXiv

• 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, and Zhiyao Xie
  arXiv 2024. arXiv

Peer Reviewed Publications

• TRETS’24 FADO: Floorplan-Aware Directive Optimization Based on Synthesis and Analytical Models for High-Level Synthesis Designs on Multi-Die FPGAs
  Linfeng Du, Tingyuan Liang, Xiaofeng Zhou, Jinming Ge, Shangkun Li, Sharad Sinha, Jieru Zhao, Zhiyao Xie, and Wei Zhang
  ACM Transactions on Reconfigurable Technology and Systems (TRETS), 2024.

• DAC’24 Annotating Slack Directly on Your Verilog: Fine-Grained RTL Timing Evaluation for Early Optimization
  Wenji Fang, Shang Liu, Hongce Zhang, and Zhiyao Xie
  ACM/IEEE Design Automation Conference (DAC), 2024. (Acceptance rate=22%) pdf

• DAC’24 Accel-NASBench: Sustainable Benchmarking for Accelerator-Aware NAS
  Afzal Ahmad, Linfeng Du, Zhiyao Xie, and Wei Zhang
  ACM/IEEE Design Automation Conference (DAC), 2024. (Acceptance rate=22%) pdf

• 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. (Acceptance rate=29%) arXiv pdf code

• ASPDAC’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. (Acceptance rate=29%) pdf code

• TCAD’24 Towards Fully Automated Machine Learning for Routability Estimator Development
  Chen-Chia Chang, Jingyu Pan, Zhiyao Xie, Tunhou Zhang, Jiang Hu, and Yiran Chen
  IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), 2024. pdf

• 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. (Acceptance rate=23%) pdf code

• 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. (Acceptance rate=23%) pdf code

• 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%) pdf

• DAC’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%) pdf

• TCAD’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 pdf

• ISPD’23 Efficient Runtime Power Modeling with On-Chip Power Meters (Invited)
  Zhiyao Xie
  International Symposium on Physical Design (ISPD), 2023. ACM pdf

• ISQED’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 pdf

• FPGA’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 pdf

• ASPDAC’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 pdf

• ICCAD’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 pdf

• DAC’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 pdf

• TCAD’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

Before joining HKUST in 2022 summer:

• 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 pdf

• ASPDAC’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 pdf

• ICCAD’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 pdf

• ICCAD’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 pdf

• ASPDAC’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 pdf

• ASPDAC’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 pdf

• DATE’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 pdf

• ICCAD’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 pdf

• Book 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 Patent

• Patent IR Drop Prediction with Maximum Convolutional Neural Network
  Zhiyao Xie, Haoxing Ren, Brucek Khailany, and Sheng Ye
  US Patent US11645533B2, granted in 2023 Patent

• Patent 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
• “Apollo: Made to measure,”
  Arm Research Articles. 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

Blog Article

• Zhiyao Xie, “Will AI change EDA? (Chinese),”
  StarryHeavensAbove, 2022. News pdf
• Zhiyao Xie, “Review of Top EDA Conference: DAC’21 (Chinese),”
  AI Tech Review / AI 科技评论, 2021. News pdf