| A configurable multi-precision CNN computing framework based on single bit RRAM Z Zhu, H Sun, Y Lin, G Dai, L Xia, S Han, Y Wang, H Yang Proceedings of the 56th Annual Design Automation Conference 2019, 1-6, 2019 | 101 | 2019 |
| MNSIM 2.0: A behavior-level modeling tool for memristor-based neuromorphic computing systems Z Zhu, H Sun, K Qiu, L Xia, G Krishnan, G Dai, D Niu, X Chen, XS Hu, ... Proceedings of the 2020 on Great Lakes Symposium on VLSI, 83-88, 2020 | 79 | 2020 |
| Mixed size crossbar based RRAM CNN accelerator with overlapped mapping method Z Zhu, J Lin, M Cheng, L Xia, H Sun, X Chen, Y Wang, H Yang 2018 IEEE/ACM International Conference on Computer-Aided Design (ICCAD), 1-8, 2018 | 46 | 2018 |
| An energy-efficient quantized and regularized training framework for processing-in-memory accelerators H Sun, Z Zhu, Y Cai, X Chen, Y Wang, H Yang 2020 25th Asia and South Pacific Design Automation Conference (ASP-DAC), 325-330, 2020 | 40 | 2020 |
| Flightllm: Efficient large language model inference with a complete mapping flow on fpgas S Zeng, J Liu, G Dai, X Yang, T Fu, H Wang, W Ma, H Sun, S Li, Z Huang, ... Proceedings of the 2024 ACM/SIGDA International Symposium on Field …, 2024 | 34 | 2024 |
| Mnsim 2.0: A behavior-level modeling tool for processing-in-memory architectures Z Zhu, H Sun, T Xie, Y Zhu, G Dai, L Xia, D Niu, X Chen, XS Hu, Y Cao, ... IEEE Transactions on Computer-Aided Design of Integrated Circuits and …, 2023 | 23 | 2023 |
| Enabling efficient and flexible FPGA virtualization for deep learning in the cloud S Zeng, G Dai, H Sun, K Zhong, G Ge, K Guo, Y Wang, H Yang 2020 IEEE 28th Annual International Symposium on Field-Programmable Custom …, 2020 | 23 | 2020 |
| Gibbon: Efficient co-exploration of NN model and processing-in-memory architecture H Sun, C Wang, Z Zhu, X Ning, G Dai, H Yang, Y Wang 2022 Design, Automation & Test in Europe Conference & Exhibition (DATE), 867-872, 2022 | 15 | 2022 |
| Rescuing memristor-based computing with non-linear resistance levels J Lin, L Xia, Z Zhu, H Sun, Y Cai, H Gao, M Cheng, X Chen, Y Wang, ... 2018 Design, Automation & Test in Europe Conference & Exhibition (DATE), 407-412, 2018 | 14 | 2018 |
| Black box search space profiling for accelerator-aware neural architecture search S Zeng, H Sun, Y Xing, X Ning, Y Shan, X Chen, Y Wang, H Yang 2020 25th Asia and South Pacific Design Automation Conference (ASP-DAC), 518-523, 2020 | 13 | 2020 |
| Feature variance regularization: a simple way to improve the generalizability of neural networks R Huang, H Sun, J Liu, L Tian, L Wang, Y Shan, Y Wang Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 4190-4197, 2020 | 6 | 2020 |
| Gibbon: An efficient co-exploration framework of nn model and processing-in-memory architecture H Sun, Z Zhu, C Wang, X Ning, G Dai, H Yang, Y Wang IEEE Transactions on Computer-Aided Design of Integrated Circuits and …, 2023 | 4 | 2023 |
| Optimizing Graph-based Approximate Nearest Neighbor Search: Stronger and Smarter J Liu, Z Zhu, J Hu, H Sun, L Liu, L Liu, G Dai, H Yang, Y Wang 2022 23rd IEEE International Conference on Mobile Data Management (MDM), 179-184, 2022 | 4 | 2022 |
| A unified FPGA virtualization framework for general-purpose deep neural networks in the cloud S Zeng, G Dai, H Sun, J Liu, S Li, G Ge, K Zhong, K Guo, Y Wang, H Yang ACM Transactions on Reconfigurable Technology and Systems (TRETS) 15 (3), 1-31, 2021 | 4 | 2021 |
| MNSIM-TIME: Performance modeling framework for training-in-memory architectures K Qiu, Z Zhu, Y Cai, H Sun, Y Wang, H Yang 2021 IEEE 3rd International Conference on Artificial Intelligence Circuits …, 2021 | 4 | 2021 |
| Enable efficient and flexible fpga virtualization for deep learning in the cloud S Zeng, G Dai, K Zhong, H Sun, G Ge, K Guo, Y Wang, H Yang Proceedings of the 2020 ACM/SIGDA International Symposium on Field …, 2020 | 4 | 2020 |
| Towards High-accuracy and Real-time Two-stage Small Object Detection on FPGA S Li, Z Zhu, H Sun, X Ning, G Dai, Y Hu, H Yang, Y Wang IEEE Transactions on Circuits and Systems for Video Technology, 2024 | 3 | 2024 |
| Reliability-Aware Training and Performance Modeling for Processing-In-Memory Systems H Sun, Z Zhu, Y Cai, S Zeng, K Qiu, Y Wang, H Yang Proceedings of the 26th Asia and South Pacific Design Automation Conference …, 2021 | 3 | 2021 |
| Pim-hls: An automatic hardware generation tool for heterogeneous processing-in-memory-based neural network accelerators Y Zhu, Z Zhu, G Dai, F Tu, H Sun, KT Cheng, H Yang, Y Wang 2023 60th ACM/IEEE Design Automation Conference (DAC), 1-6, 2023 | 2 | 2023 |
| Minimizing communication conflicts in network-on-chip based processing-in-memory architecture H Sun, T Xie, Z Zhu, G Dai, H Yang, Y Wang 2023 Design, Automation & Test in Europe Conference & Exhibition (DATE), 1-6, 2023 | 1 | 2023 |
Yu Wang (汪玉)Department of Electronic Engineering, Tsinghua University, ChinaVerified email at mail.tsinghua.edu.cn
