| In-memory processing paradigm for bitwise logic operations in STT-MRAM W Kang, L Chang, Z Wang, W Zhao 2017 IEEE International Magnetics Conference (INTERMAG), 2017 | 116 | 2017 |
| A fast and energy-efficient SNN processor with adaptive clock/event-driven computation scheme and online learning S Li, Z Zhang, R Mao, J Xiao, L Chang, J Zhou IEEE Transactions on Circuits and Systems I: Regular Papers 68 (4), 1543-1552, 2021 | 106 | 2021 |
| 4.5 BioAIP: A reconfigurable biomedical AI processor with adaptive learning for versatile intelligent health monitoring J Liu, Z Zhu, Y Zhou, N Wang, G Dai, Q Liu, J Xiao, Y Xie, Z Zhong, H Liu, ... 2021 IEEE International Solid-State Circuits Conference (ISSCC) 64, 62-64, 2021 | 70 | 2021 |
| PXNOR-BNN: In/with spin-orbit torque MRAM preset-XNOR operation-based binary neural networks L Chang, X Ma, Z Wang, Y Zhang, Y Xie, W Zhao IEEE Transactions on Very Large Scale Integration (VLSI) Systems 27 (11 …, 2019 | 52 | 2019 |
| ULECGNet: An ultra-lightweight end-to-end ECG classification neural network J Xiao, J Liu, H Yang, Q Liu, N Wang, Z Zhu, Y Chen, Y Long, L Chang, ... IEEE Journal of Biomedical and Health Informatics 26 (1), 206-217, 2021 | 41 | 2021 |
| Voltage-controlled MRAM for working memory: Perspectives and challenges W Kang, L Chang, Y Zhang, W Zhao Design, Automation & Test in Europe Conference & Exhibition (DATE), 2017 …, 2017 | 39 | 2017 |
| Distilling bit-level sparsity parallelism for general purpose deep learning acceleration H Lu, L Chang, C Li, Z Zhu, S Lu, Y Liu, M Zhang MICRO-54: 54th Annual IEEE/ACM International Symposium on Microarchitecture …, 2021 | 29 | 2021 |
| An ultra-energy-efficient and high accuracy ECG classification processor with SNN inference assisted by on-chip ANN learning R Mao, S Li, Z Zhang, Z Xia, J Xiao, Z Zhu, J Liu, W Shan, L Chang, ... IEEE Transactions on Biomedical Circuits and Systems 16 (5), 832-841, 2022 | 26 | 2022 |
| SemiMap: A semi-folded convolution mapping for speed-overhead balance on crossbars L Deng, L Liang, G Wang, L Chang, X Hu, X Ma, L Liu, J Pei, G Li, Y Xie IEEE Transactions on Computer-Aided Design of Integrated Circuits and …, 2018 | 22 | 2018 |
| Energy-efficient computing-in-memory architecture for AI processor: device, circuit, architecture perspective L Chang, C Li, Z Zhang, J Xiao, Q Liu, Z Zhu, W Li, Z Zhu, S Yang, J Zhou Science China Information Sciences 64 (6), 160403, 2021 | 21 | 2021 |
| Correlation between the Dzyaloshinskii-Moriya interaction and spin-mixing conductance at an antiferromagnet/ferromagnet interface X Ma, G Yu, SA Razavi, L Chang, L Deng, Z Chu, C He, KL Wang, X Li Physical Review B 98 (10), 104428, 2018 | 19 | 2018 |
| Recent progresses in spin transfer torque-based magnetoresistive random access memory (STT-MRAM) L Wang, Y Zhang, Z Wang, W Zhao, S Peng, L Chang SCIENTIA SINICA Physica, Mechanica & Astronomica 46 (10), 107306, 2016 | 19 | 2016 |
| Evaluation of spin-Hall-assisted STT-MRAM for cache replacement L Chang, Z Wang, Y Gao, W Kang, Y Zhang, W Zhao 2016 IEEE/ACM International Symposium on Nanoscale Architectures (NANOARCH …, 2016 | 19 | 2016 |
| DASM: Data-streaming-based computing in nonvolatile memory architecture for embedded system L Chang, X Ma, Z Wang, Y Zhang, Y Ding, W Zhao, Y Xie IEEE Transactions on Very Large Scale Integration (VLSI) Systems 27 (9 …, 2019 | 18 | 2019 |
| Progresses and challenges of spin orbit torque driven magnetization switching and application Z Wang, Z Li, Y Liu, S Li, L Chang, W Kang, Y Zhang, W Zhao 2018 IEEE International Symposium on Circuits and Systems (ISCAS), 1-5, 2018 | 17 | 2018 |
| PRESCOTT: Preset-based cross-point architecture for spin-orbit-torque magnetic random access memory L Chang, Z Wang, AO Glova, J Zhao, Y Zhang, Y Xie, W Zhao 2017 IEEE/ACM International Conference on Computer-Aided Design (ICCAD), 245-252, 2017 | 14 | 2017 |
| Pseudo-differential sensing framework for STT-MRAM: A cross-layer perspective W Kang, L Chang, Z Wang, W Lv, G Sun, W Zhao IEEE Transactions on Computers 66 (3), 531-544, 2016 | 13 | 2016 |
| CORN: In-buffer computing for binary neural network L Chang, X Ma, Z Wang, Y Zhang, W Zhao, Y Xie 2019 Design, Automation & Test in Europe Conference & Exhibition (DATE), 384-389, 2019 | 12 | 2019 |
| An ultra-low power reconfigurable biomedical ai processor with adaptive learning for versatile wearable intelligent health monitoring J Liu, J Fan, Z Zhong, H Qiu, J Xiao, Y Zhou, Z Zhu, G Dai, N Wang, Q Liu, ... IEEE Transactions on Biomedical Circuits and Systems 17 (5), 952-967, 2023 | 10 | 2023 |
| A fast and efficient FPGA-based level set hardware accelerator for image segmentation Y Liu, Y Wang, L Chang, J Zhou 2020 IEEE international conference on integrated circuits, technologies and …, 2020 | 9 | 2020 |