| Tare: task-adaptive in-situ reram computing for graph learning Y He, Y Wang, C Liu, H Li, X Li 2021 58th ACM/IEEE Design Automation Conference (DAC), 577-582, 2021 | 12 | 2021 |
| An agile precision-tunable cnn accelerator based on reram Y He, Y Wang, Y Wang, H Li, X Li 2019 IEEE/ACM International Conference on Computer-Aided Design (ICCAD), 1-7, 2019 | 10 | 2019 |
| Towards state-aware computation in ReRAM neural networks Y He, Y Wang, X Zhao, H Li, X Li 2020 57th ACM/IEEE Design Automation Conference (DAC), 1-6, 2020 | 8 | 2020 |
| A fast precision tuning solution for always-on DNN accelerators Y Wang, Y He, L Cheng, H Li, X Li IEEE Transactions on Computer-Aided Design of Integrated Circuits and …, 2021 | 5 | 2021 |
| Infox: An energy-efficient reram accelerator design with information-lossless low-bit adcs Y He, S Qu, Y Wang, B Li, H Li, X Li Proceedings of the 59th ACM/IEEE Design Automation Conference, 97-102, 2022 | 4 | 2022 |
| AmgR: Algebraic Multigrid Accelerated on ReRAM M Fan, X Tian, Y He, J Li, Y Duan, X Hu, Y Wang, Z Jin, W Liu 2023 60th ACM/IEEE Design Automation Conference (DAC), 1-6, 2023 | 2 | 2023 |
| On-line fault protection for ReRAM-based neural networks W Li, Y Wang, C Liu, Y He, L Liu, H Li, X Li IEEE Transactions on Computers 72 (2), 423-437, 2022 | 2 | 2022 |
| Cim-mlc: A multi-level compilation stack for computing-in-memory accelerators S Qu, S Zhao, B Li, Y He, X Cai, L Zhang, Y Wang Proceedings of the 29th ACM International Conference on Architectural …, 2024 | 1 | 2024 |
| Saving energy of RRAM-based neural accelerator through state-aware computing Y He, Y Wang, H Li, X Li IEEE Transactions on Computer-Aided Design of Integrated Circuits and …, 2021 | 1 | 2021 |
| A Task-Adaptive In-Situ ReRAM Computing for Graph Convolutional Networks Y He, B Li, Y Wang, C Liu, H Li, X Li IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 2024 | | 2024 |
Xiaowei Li (李晓维)Institute of Computing Technology, Chinese Academy of SciencesVerified email at ict.ac.cn
