| A 1000 fps vision chip based on a dynamically reconfigurable hybrid architecture comprising a PE array processor and self-organizing map neural network C Shi, J Yang, Y Han, Z Cao, Q Qin, L Liu, NJ Wu, Z Wang IEEE Journal of Solid-State Circuits 49 (9), 2067-2082, 2014 | 145 | 2014 |
| Optimization of optomotor response-based visual function assessment in mice C Shi, X Yuan, K Chang, KS Cho, XS Xie, DF Chen, G Luo Scientific Reports 8 (1), 9708, 2018 | 34 | 2018 |
| Dynamically reconstructable multistage parallel single instruction multiple data array processing system C Shi, WU Nanjian, L Xitian, J Yang, QIN Qi US Patent 9,449,257, 2016 | 34 | 2016 |
| BitPruner: Network pruning for bit-serial accelerators X Zhao, Y Wang, C Liu, C Shi, K Tu, L Zhang 2020 57th ACM/IEEE Design Automation Conference (DAC), 1-6, 2020 | 22 | 2020 |
| Heterogeneous vision chip and LBP-based algorithm for high-speed tracking J Yang, C Shi, L Liu, N Wu Electronics Letters 50 (6), 438-439, 2014 | 22 | 2014 |
| Deeptempo: a hardware-friendly direct feedback alignment multi-layer tempotron learning rule for deep spiking neural networks C Shi, T Wang, J He, J Zhang, L Liu, N Wu IEEE Transactions on Circuits and Systems II: Express Briefs 68 (5), 1581-1585, 2021 | 20 | 2021 |
| An edge 3D CNN accelerator for low-power activity recognition Y Wang, Y Wang, C Shi, L Cheng, H Li, X Li IEEE Transactions on Computer-Aided Design of Integrated Circuits and …, 2020 | 18 | 2020 |
| Systolic cube: A spatial 3D CNN accelerator architecture for low power video analysis Y Wang, Y Wang, H Li, C Shi, X Li Proceedings of the 56th Annual Design Automation Conference 2019, 1-6, 2019 | 18 | 2019 |
| CompSNN: A lightweight spiking neural network based on spatiotemporally compressive spike features T Wang, C Shi, X Zhou, Y Lin, J He, P Gan, P Li, Y Wang, L Liu, N Wu, ... Neurocomputing 425, 96-106, 2021 | 17 | 2021 |
| Monet3d: Towards accurate monocular 3d object localization in real time X Zhou, Y Peng, C Long, F Ren, C Shi International conference on machine learning, 11503-11512, 2020 | 15 | 2020 |
| Hapke data augmentation for deep learning-based hyperspectral data analysis with limited samples K Qin, F Ge, Y Zhao, L Zhu, M Li, C Shi, D Li, X Zhou IEEE Geoscience and Remote Sensing Letters 18 (5), 886-890, 2020 | 15 | 2020 |
| A low-reverse-recovery-charge superjunction MOSFET with P-base and N-pillar Schottky contacts P Li, J Guo, Z Lin, S Hu, C Shi, F Tang IEEE Transactions on Electron Devices 67 (4), 1693-1698, 2020 | 15 | 2020 |
| A high speed 1000 fps CMOS image sensor with low noise global shutter pixels YF Zhou, ZX Cao, Q Qin, QL Li, C Shi, NJ Wu Science China Information Sciences 57, 1-8, 2014 | 15 | 2014 |
| TripleBrain: A compact neuromorphic hardware core with fast on-chip self-organizing and reinforcement spike-timing dependent plasticity H Wang, Z He, T Wang, J He, X Zhou, Y Wang, L Liu, N Wu, M Tian, C Shi IEEE Transactions on Biomedical Circuits and Systems 16 (4), 636-650, 2022 | 14 | 2022 |
| A 10-bit column-parallel cyclic ADC for high-speed CMOS image sensors Y Han, Q Li, C Shi, N Wu Journal of Semiconductors 34 (8), 085016, 2013 | 14* | 2013 |
| A Streaming Motion Magnification Core for Smart Image Sensors C Shi, G Luo IEEE Transactions on Circuits and Systems II: Express Briefs 65 (9), 1229-1233, 2018 | 13 | 2018 |
| Exploiting lightweight statistical learning for event-based vision processing C Shi, J Li, Y Wang, G Luo IEEE Access 6, 19396-19406, 2018 | 12 | 2018 |
| A high-speed low-cost CNN inference accelerator for depthwise separable convolution Y Lin, R Li, W He, X Zho, J He, P Li, Y Jiang, L Liu, N Wu, C Shi 2020 IEEE International Conference on Integrated Circuits, Technologies and …, 2020 | 11 | 2020 |
| A low-cost fpga implementation of spiking extreme learning machine with on-chip reward-modulated stdp learning Z He, C Shi, T Wang, Y Wang, M Tian, X Zhou, P Li, L Liu, N Wu, G Luo IEEE Transactions on Circuits and Systems II: Express Briefs 69 (3), 1657-1661, 2021 | 10 | 2021 |
| A cost-efficient high-speed VLSI architecture for spiking convolutional neural network inference using time-step binary spike maps L Zhang, J Yang, C Shi, Y Lin, W He, X Zhou, X Yang, L Liu, N Wu Sensors 21 (18), 6006, 2021 | 10 | 2021 |
Nanjian WuInstitute of Semiconductors在 red.semi.ac.cn 的电子邮件经过验证
