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Jing Pei
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2020 – today
- 2024
- [j8]Hongyi Li
, Songchen Ma
, Taoyi Wang
, Weihao Zhang
, Guanrui Wang
, Chenhang Song
, Huanyu Qu
, Junfeng Lin
, Cheng Ma
, Jing Pei
, Rong Zhao:
HASP: Hierarchical Asynchronous Parallelism for Multi-NN Tasks. IEEE Trans. Computers 73(2): 366-379 (2024) - [i7]Huifeng Yin, Hanle Zheng, Jiayi Mao, Siyuan Ding, Xing Liu, Mingkun Xu, Yifan Hu, Jing Pei, Lei Deng:
Understanding the Functional Roles of Modelling Components in Spiking Neural Networks. CoRR abs/2403.16674 (2024) - [i6]Huifeng Yin, Mingkun Xu, Jing Pei, Lei Deng:
Enhancing Graph Representation Learning with Attention-Driven Spiking Neural Networks. CoRR abs/2403.17040 (2024) - 2023
- [j7]Jing Pei, Lei Deng
, Cheng Ma
, Xue Liu, Luping Shi:
Multi-grained system integration for hybrid-paradigm brain-inspired computing. Sci. China Inf. Sci. 66(4) (2023) - [c9]Mingkun Xu, Hao Zheng, Jing Pei, Lei Deng
:
A Unified Structured Framework for AGI: Bridging Cognition and Neuromorphic Computing. AGI 2023: 345-356 - [c8]Hongyi Li
, Mingkun Xu
, Jing Pei
, Rong Zhao
:
Efficient GCN Deployment with Spiking Property on Spatial-Temporal Neuromorphic Chips. ICONS 2023: 21:1-21:8 - 2022
- [j6]Songchen Ma
, Jing Pei
, Weihao Zhang
, Guanrui Wang
, Dahu Feng
, Fangwen Yu
, Chenhang Song
, Huanyu Qu
, Cheng Ma
, Mingsheng Lu
, Faqiang Liu
, Wenhao Zhou
, Yujie Wu
, Yihan Lin
, Hongyi Li
, Taoyi Wang
, Jiuru Song
, Xue Liu, Guoqi Li
, Rong Zhao
, Luping Shi
:
Neuromorphic computing chip with spatiotemporal elasticity for multi-intelligent-tasking robots. Sci. Robotics 7(67) (2022) - [c7]Mingkun Xu
, Faqiang Liu
, Jing Pei
:
Endowing Spiking Neural Networks with Homeostatic Adaptivity for APS-DVS Bimodal Scenarios. ICMI Companion 2022: 12-17 - 2021
- [j5]Faqiang Liu, Mingkun Xu
, Guoqi Li, Jing Pei, Luping Shi, Rong Zhao
:
Adversarial symmetric GANs: Bridging adversarial samples and adversarial networks. Neural Networks 133: 148-156 (2021) - [c6]Mingkun Xu
, Yujie Wu, Lei Deng, Faqiang Liu, Guoqi Li, Jing Pei:
Exploiting Spiking Dynamics with Spatial-temporal Feature Normalization in Graph Learning. IJCAI 2021: 3207-3213 - [i5]Mingkun Xu, Yujie Wu, Lei Deng, Faqiang Liu, Guoqi Li, Jing Pei:
Exploiting Spiking Dynamics with Spatial-temporal Feature Normalization in Graph Learning. CoRR abs/2107.06865 (2021) - 2020
- [j4]Lei Deng
, Guanrui Wang, Guoqi Li
, Shuangchen Li, Ling Liang
, Maohua Zhu, Yujie Wu, Zheyu Yang, Zhe Zou, Jing Pei, Zhenzhi Wu, Xing Hu, Yufei Ding, Wei He, Yuan Xie, Luping Shi
:
Tianjic: A Unified and Scalable Chip Bridging Spike-Based and Continuous Neural Computation. IEEE J. Solid State Circuits 55(8): 2228-2246 (2020) - [j3]Lei Deng
, Yuan Xie, Ling Liang, Guanrui Wang, Liang Chang
, Xing Hu, Xin Ma, Liu Liu
, Jing Pei, Guoqi Li
:
SemiMap: A Semi-Folded Convolution Mapping for Speed-Overhead Balance on Crossbars. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 39(1): 117-130 (2020) - [c5]Daiheng Gao
, Zhenzhi Wu
, Yujie Wu
, Guoqi Li
, Jing Pei
:
ARLIF: A Flexible and Efficient Recurrent Neuronal Model for Sequential Tasks. HBAI@IJCAI 2020: 1-13 - [i4]Yujie Wu, Rong Zhao, Jun Zhu, Feng Chen, Mingkun Xu, Guoqi Li, Sen Song, Lei Deng, Guanrui Wang, Hao Zheng, Jing Pei, Youhui Zhang, Mingguo Zhao, Luping Shi:
Brain-inspired global-local hybrid learning towards human-like intelligence. CoRR abs/2006.03226 (2020)
2010 – 2019
- 2019
- [i3]Faqiang Liu, Mingkun Xu, Guoqi Li, Jing Pei, Luping Shi:
Bridging adversarial samples and adversarial networks. CoRR abs/1912.09670 (2019) - [i2]Yukuan Yang, Lei Deng, Peng Jiao, Yansong Chua, Jing Pei, Cheng Ma, Guoqi Li:
Transfer Learning in General Lensless Imaging through Scattering Media. CoRR abs/1912.12419 (2019) - 2018
- [j2]Guoqi Li, Lei Deng
, Lei Tian, Haotian Cui, Wentao Han, Jing Pei, Luping Shi:
Training deep neural networks with discrete state transition. Neurocomputing 272: 154-162 (2018) - [j1]Lei Deng
, Peng Jiao, Jing Pei, Zhenzhi Wu, Guoqi Li
:
GXNOR-Net: Training deep neural networks with ternary weights and activations without full-precision memory under a unified discretization framework. Neural Networks 100: 49-58 (2018) - 2017
- [i1]Lei Deng, Peng Jiao, Jing Pei, Zhenzhi Wu, Guoqi Li:
Gated XNOR Networks: Deep Neural Networks with Ternary Weights and Activations under a Unified Discretization Framework. CoRR abs/1705.09283 (2017) - 2015
- [c4]Lei Deng
, Dong Wang, Guoqi Li, Ziyang Zhang, Jing Pei:
A new computing rule for neuromorphic engineering. NVMTS 2015: 1-3 - [c3]Hongmin Li, Jing Pei, Guoqi Li:
Real-time tracking based on neuromrophic vision. NVMTS 2015: 1-7 - [c2]Dong Wang, Lei Deng
, Pei Tang, Cheng Ma, Jing Pei:
FPGA-based neuromorphic computing system with a scalable routing network. NVMTS 2015: 1-4 - [c1]Shikai Wang, Cheng Ma, Dong Wang, Jing Pei:
Extensible neuromorphic computing simulator based on a programmable hardware. NVMTS 2015: 1-3
Coauthor Index
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