| RouteNet: Routability Prediction for Mixed-size Designs Using Convolutional Neural Network Z Xie, YH Huang, GQ Fang, H Ren, SY Fang, Y Chen, J Hu 2018 IEEE/ACM International Conference on Computer-Aided Design (ICCAD), 1-8, 2018 | 203 | 2018 |
| PowerNet: Transferable Dynamic IR Drop Estimation via Maximum Convolutional Neural Network Z Xie, H Ren, B Khailany, Y Sheng, S Santosh, J Hu, Y Chen 2020 25th Asia and South Pacific Design Automation Conference (ASP-DAC), 13-18, 2020 | 86 | 2020 |
| Routability-Driven Macro Placement with Embedded CNN-based Prediction Model YH Huang, Z Xie, GQ Fang, TC Yu, H Ren, SY Fang, Y Chen, J Hu 2019 Design, Automation & Test in Europe Conference & Exhibition (DATE), 180-185, 2019 | 52 | 2019 |
| RTLLM: An Open-Source Benchmark for Design RTL Generation with Large Language Model Y Lu, S Liu, Q Zhang, Z Xie 2024 Asia and South Pacific Design Automation Conference (ASP-DAC), 2024 | 51 | 2024 |
| Net2: A graph attention network method customized for pre-placement net length estimation Z Xie, R Liang, X Xu, J Hu, Y Duan, Y Chen 2021 Asia and South Pacific Design Automation Conference (ASP-DAC), 2021 | 43 | 2021 |
| Routing-Free Crosstalk Prediction R Liang, Z Xie, J Jung, V Chauha, Y Chen, J Hu, H Xiang, GJ Nam 2020 IEEE/ACM International Conference On Computer Aided Design (ICCAD), 1-9, 2020 | 41 | 2020 |
| FIST: A Feature-Importance Sampling and Tree-based Method for Automatic Design Flow Parameter Tuning Z Xie, GQ Fang, YH Huang, H Ren, Y Zhang, B Khailany, SY Fang, J Hu, ... 2020 Asia and South Pacific Design Automation Conference (ASP-DAC), 19-25, 2020 | 40 | 2020 |
| APOLLO: An automated power modeling framework for runtime power introspection in high-volume commercial microprocessors Z Xie, X Xu, M Walker, J Knebel, K Palaniswamy, N Hebert, J Hu, H Yang, ... MICRO-54: 54th Annual IEEE/ACM International Symposium on Microarchitecture …, 2021 | 34 | 2021 |
| RTLCoder: Outperforming GPT-3.5 in Design RTL Generation with Our Open-Source Dataset and Lightweight Solution S Liu, W Fang, Y Lu, Q Zhang, H Zhang, Z Xie arXiv preprint arXiv:2312.08617, 2023 | 33 | 2023 |
| Fast IR Drop Estimation with Machine Learning Z Xie, H Li, X Xu, J Hu, Y Chen 2020 International Conference on Computer-Aided Design (ICCAD), 1-8, 2020 | 30 | 2020 |
| Preplacement net length and timing estimation by customized graph neural network Z Xie, R Liang, X Xu, J Hu, CC Chang, J Pan, Y Chen IEEE Transactions on Computer-Aided Design of Integrated Circuits and …, 2022 | 22 | 2022 |
| Automatic Routability Predictor Development Using Neural Architecture Search CC Chang, J Pan, T Zhang, Z Xie, J Hu, W Qi, CW Lin, R Liang, J Mitra, ... 2021 IEEE/ACM International Conference on Computer-Aided Design, 2021 | 21 | 2021 |
| Assertllm: Generating and evaluating hardware verification assertions from design specifications via multi-llms W Fang, M Li, M Li, Z Yan, S Liu, H Zhang, Z Xie arXiv preprint arXiv:2402.00386, 2024 | 17 | 2024 |
| DEEP: Developing Extremely Efficient Runtime On-Chip Power Meters Z Xie, S Li, M Ma, CC Chang, J Pan, Y Chen, J Hu 2022 IEEE/ACM International Conference on Computer-Aided Design (ICCAD), 2022 | 12 | 2022 |
| Towards Collaborative Intelligence: Routability Estimation based on Decentralized Private Data J Pan, CC Chang, Z Xie, A Li, M Tang, T Zhang, J Hu, Y Chen 2022 IEEE/ACM Design Automation Conference (DAC), 2022 | 10 | 2022 |
| The dawn of ai-native eda: Promises and challenges of large circuit models L Chen, Y Chen, Z Chu, W Fang, TY Ho, Y Huang, S Khan, M Li, X Li, ... arXiv preprint arXiv:2403.07257, 2024 | 7 | 2024 |
| Specllm: Exploring generation and review of vlsi design specification with large language model M Li, W Fang, Q Zhang, Z Xie arXiv preprint arXiv:2401.13266, 2024 | 7 | 2024 |
| IR Drop Prediction with Maximum Convolutional Neural Network Z Xie, H Ren, B Khailany, S Ye US Patent App. 15/929,242, 2020 | 7 | 2020 |
| MasterRTL: A Pre-Synthesis PPA Estimation Framework for Any RTL Design W Fang, Y Lu, S Liu, Q Zhang, C Xu, LW Wills, H Zhang, Z Xie 2023 IEEE/ACM International Conference on Computer Aided Design (ICCAD), 1-9, 2023 | 5 | 2023 |
| PANDA: Architecture-level power evaluation by unifying analytical and machine learning solutions Q Zhang, S Li, G Zhou, J Pan, CC Chang, Y Chen, Z Xie 2023 IEEE/ACM International Conference on Computer Aided Design (ICCAD), 01-09, 2023 | 5 | 2023 |
Yiran ChenJohn Cocke Distinguished Professor of Electrical and Computer Engineering, Duke University在 duke.edu 的电子邮件经过验证
