| Edge learning using a fully integrated neuro-inspired memristor chip W Zhang, P Yao, B Gao, Q Liu, D Wu, Q Zhang, Y Li, Q Qin, J Li, Z Zhu, ... Science 381 (6663), 1205-1211, 2023 | 185 | 2023 |
| Time: A training-in-memory architecture for memristor-based deep neural networks M Cheng, L Xia, Z Zhu, Y Cai, Y Xie, Y Wang, H Yang Proceedings of the 54th Annual Design Automation Conference 2017, 1-6, 2017 | 145 | 2017 |
| 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 | 105 | 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 | 83 | 2020 |
| Learning the sparsity for ReRAM: Mapping and pruning sparse neural network for ReRAM based accelerator J Lin, Z Zhu, Y Wang, Y Xie Proceedings of the 24th Asia and South Pacific Design Automation Conference …, 2019 | 77 | 2019 |
| TIME: A training-in-memory architecture for RRAM-based deep neural networks M Cheng, L Xia, Z Zhu, Y Cai, Y Xie, Y Wang, H Yang IEEE Transactions on Computer-Aided Design of Integrated Circuits and …, 2018 | 74 | 2018 |
| Memristor‐based efficient in‐memory logic for cryptologic and arithmetic applications L Xu, R Yuan, Z Zhu, K Liu, Z Jing, Y Cai, Y Wang, Y Yang, R Huang Advanced Materials Technologies 4 (7), 1900212, 2019 | 51 | 2019 |
| 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 | 49 | 2018 |
| Dimmining: pruning-efficient and parallel graph mining on near-memory-computing G Dai, Z Zhu, T Fu, C Wei, B Wang, X Li, Y Xie, H Yang, Y Wang Proceedings of the 49th Annual International Symposium on Computer …, 2022 | 47 | 2022 |
| Neural network accelerator comparison K Guo, W Li, K Zhong, Z Zhu, S Zeng, S Han, Y Xie, P Debacker, ... [Online]. Available:, 2021 | 42 | 2021 |
| 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 |
| Enabling lower-power charge-domain nonvolatile in-memory computing with ferroelectric FETs G Yin, Y Cai, J Wu, Z Duan, Z Zhu, Y Liu, Y Wang, H Yang, X Li IEEE Transactions on Circuits and Systems II: Express Briefs 68 (7), 2262-2266, 2021 | 33 | 2021 |
| Training low bitwidth convolutional neural network on RRAM Y Cai, T Tang, L Xia, M Cheng, Z Zhu, Y Wang, H Yang 2018 23rd Asia and South Pacific Design Automation Conference (ASP-DAC), 117-122, 2018 | 31 | 2018 |
| 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 | 28 | 2023 |
| Efficient 16 Boolean logic and arithmetic based on bipolar oxide memristors R Yuan, M Ma, L Xu, Z Zhu, Q Duan, T Zhang, Y Zhu, Y Wang, R Huang, ... Science China Information Sciences 63, 1-8, 2020 | 26 | 2020 |
| Towards lower bit multiplication for convolutional neural network training K Zhong, T Zhao, X Ning, S Zeng, K Guo, Y Wang, H Yang arXiv preprint arXiv:2006.02804 3 (4), 2020 | 26* | 2020 |
| Rerec: In-reram acceleration with access-aware mapping for personalized recommendation Y Wang, Z Zhu, F Chen, M Ma, G Dai, Y Wang, H Li, Y Chen 2021 IEEE/ACM International Conference On Computer Aided Design (ICCAD), 1-9, 2021 | 23 | 2021 |
| Hdc-im: Hyperdimensional computing in-memory architecture based on rram J Liu, M Ma, Z Zhu, Y Wang, H Yang 2019 26th IEEE International Conference on Electronics, Circuits and Systems …, 2019 | 21 | 2019 |
| FTT-NAS: Discovering fault-tolerant convolutional neural architecture X Ning, G Ge, W Li, Z Zhu, Y Zheng, X Chen, Z Gao, Y Wang, H Yang ACM Transactions on Design Automation of Electronic Systems (TODAES) 26 (6 …, 2021 | 20 | 2021 |
| 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 | 16 | 2022 |
Yu Wang (汪玉)Department of Electronic Engineering, Tsinghua University, ChinaPreverjeni e-poštni naslov na mail.tsinghua.edu.cn