| 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 | 126 | 2017 |
| 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 | 69 | 2018 |
| Low bit-width convolutional neural network on RRAM Y Cai, T Tang, L Xia, B Li, Y Wang, H Yang IEEE Transactions on Computer-Aided Design of Integrated Circuits and …, 2019 | 49 | 2019 |
| Long live time: improving lifetime for training-in-memory engines by structured gradient sparsification Y Cai, Y Lin, L Xia, X Chen, S Han, Y Wang, H Yang Proceedings of the 55th Annual Design Automation Conference, 1-6, 2018 | 48 | 2018 |
| Enabling secure in-memory neural network computing by sparse fast gradient encryption Y Cai, X Chen, L Tian, Y Wang, H Yang 2019 IEEE/ACM International Conference on Computer-Aided Design (ICCAD), 1-8, 2019 | 30 | 2019 |
| 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 | 28 | 2020 |
| 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 | 28 | 2018 |
| 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 | 23 | 2021 |
| Enabling secure nvm-based in-memory neural network computing by sparse fast gradient encryption Y Cai, X Chen, L Tian, Y Wang, H Yang IEEE Transactions on Computers 69 (11), 1596-1610, 2020 | 15 | 2020 |
| 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 | 15 | 2018 |
| Long live TIME: Improving lifetime and security for NVM-based training-in-memory systems Y Cai, Y Lin, L Xia, X Chen, S Han, Y Wang, H Yang IEEE Transactions on Computer-Aided Design of Integrated Circuits and …, 2020 | 10 | 2020 |
| Close: Curriculum learning on the sharing extent towards better one-shot nas Z Zhou, X Ning, Y Cai, J Han, Y Deng, Y Dong, H Yang, Y Wang European Conference on Computer Vision, 578-594, 2022 | 9 | 2022 |
| Security enhancement for rram computing system through obfuscating crossbar row connections M Zou, Z Zhu, Y Cai, J Zhou, C Wang, Y Wang 2020 Design, Automation & Test in Europe Conference & Exhibition (DATE), 466-471, 2020 | 9 | 2020 |
| Ensemble-in-One: Ensemble Learning within Random Gated Networks for Enhanced Adversarial Robustness Y Cai, X Ning, H Yang, Y Wang Proceedings of the AAAI Conference on Artificial Intelligence 37 (12), 14738 …, 2023 | 2* | 2023 |
| Wesco: Weight-encoded reliability and security co-design for in-memory computing systems J Zhang, C Wang, Y Cai, Z Zhu, D Kline, H Yang, Y Wang 2022 IEEE Computer Society Annual Symposium on VLSI (ISVLSI), 296-301, 2022 | 2 | 2022 |
| 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 | 2 | 2021 |
| 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 | 2 | 2021 |
| 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 | 1 | 2023 |
| Deepguiser: Learning to disguise neural architectures for impeding adversarial transfer attacks Y Cai, C Wang, X Ning, Z Zhou, D Niu, H Yang, Y Wang | 1 | 2022 |
| 3M-AI: A Multi-task and Multi-core Virtualization Framework for Multi-FPGA AI Systems in the Cloud S Zeng, G Dai, H Sun, J Liu, H Zheng, Y Wu, F Zhang, X Yang, Y Cai, ... The 2021 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays …, 2021 | 1 | 2021 |
Yu Wang (汪玉)Department of Electronic Engineering, Tsinghua University, ChinaGeverifieerd e-mailadres voor mail.tsinghua.edu.cn
