| PanGu-: Large-scale Autoregressive Pretrained Chinese Language Models with Auto-parallel Computation W Zeng, X Ren, T Su, H Wang, Y Liao, Z Wang, X Jiang, ZZ Yang, K Wang, ... arXiv preprint arXiv:2104.12369, 2021 | 193 | 2021 |
| Pre-training on Large-Scale Heterogeneous Graph X Jiang, T Jia, Y Fang, C Shi, Z Lin, H Wang Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021 | 38 | 2021 |
| HL-Pow: A learning-based power modeling framework for high-level synthesis Z Lin, J Zhao, S Sinha, W Zhang 2020 25th Asia and South Pacific Design Automation Conference (ASP-DAC), 574-580, 2020 | 27 | 2020 |
| Towards efficient and scalable acceleration of online decision tree learning on fpga Z Lin, S Sinha, W Zhang 2019 IEEE 27th Annual International Symposium on Field-Programmable Custom …, 2019 | 18 | 2019 |
| Powergear: Early-stage power estimation in FPGA HLS via heterogeneous edge-centric GNNs Z Lin, Z Yuan, J Zhao, W Zhang, H Wang, Y Tian 2022 Design, Automation & Test in Europe Conference & Exhibition (DATE …, 2022 | 12 | 2022 |
| An Ensemble Learning Approach for In-Situ Monitoring of FPGA Dynamic Power Z Lin, S Sinha, W Zhang IEEE Transactions on Computer-Aided Design of Integrated Circuits and …, 2018 | 12 | 2018 |
| Hard-odt: Hardware-friendly online decision tree learning algorithm and system Z Lin, S Sinha, W Zhang IEEE Transactions on Computer-Aided Design of Integrated Circuits and …, 2020 | 11 | 2020 |
| Decision tree based hardware power monitoring for run time dynamic power management in FPGA Z Lin, W Zhang, S Sharad 2017 27th International Conference on Field Programmable Logic and …, 2017 | 10 | 2017 |
| Scalable light-weight integration of FPGA based accelerators with chip multi-processors Z Lin, S Sinha, H Liang, L Feng, W Zhang IEEE Transactions on Multi-Scale Computing Systems 4 (2), 152-162, 2017 | 6 | 2017 |
| Mars: Exploiting multi-level parallelism for dnn workloads on adaptive multi-accelerator systems G Shen, J Zhao, Z Wang, Z Lin, W Ding, C Wu, Q Chen, M Guo 2023 60th ACM/IEEE Design Automation Conference (DAC), 1-6, 2023 | 4 | 2023 |
| HL-Pow: Learning-Assisted Pre-RTL Power Modeling and Optimization for FPGA HLS Z Lin, T Liang, J Zhao, S Sinha, W Zhang IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 2023 | 2 | 2023 |
| Data-Pattern-Based Predictive On-Chip Power Meter in DNN Accelerator J Peng, T Liang, J Jiang, Y Zhang, Z Lin, Z Xie, W Zhang IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 2024 | | 2024 |
| Improving GPU Energy Efficiency through an Application-transparent Frequency Scaling Policy with Performance Assurance Y Zhang, Q Wang, Z Lin, P Xu, B Wang Proceedings of the Nineteenth European Conference on Computer Systems, 769-785, 2024 | | 2024 |
| GraFlex: Flexible Graph Processing on FPGAs through Customized Scalable Interconnection Network C Su, L Du, T Liang, Z Lin, M Wang, S Sinha, W Zhang Proceedings of the 2024 ACM/SIGDA International Symposium on Field …, 2024 | | 2024 |
| Hierarchical Source-to-Post-Route QoR Prediction in High-Level Synthesis with GNNs M Gao, J Zhao, Z Lin, M Guo 2024 Design, Automation & Test in Europe Conference & Exhibition (DATE), 1-6, 2024 | | 2024 |
| Learning-based power modeling for FPGA: from design time to run time Z Lin Hong Kong University of Science and Technology, 2019 | | 2019 |
Wei ZhangHong Kong University of Science and Technology在 ust.hk 的电子邮件经过验证
