Jing Pei

According to our database, Jing Pei authored at least 23 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

HASP: Hierarchical Asynchronous Parallelism for Multi-NN Tasks.

Hongyi Li, Songchen Ma, Taoyi Wang, Weihao Zhang, Guanrui Wang, Chenhang Song, Huanyu Qu, Junfeng Lin, Cheng Ma, Jing Pei, Rong Zhao

IEEE Trans. Computers, February, 2024

Enhancing Graph Representation Learning with Attention-Driven Spiking Neural Networks.

Huifeng Yin, Mingkun Xu, Jing Pei, Lei Deng

CoRR, 2024

Understanding the Functional Roles of Modelling Components in Spiking Neural Networks.

Huifeng Yin, Hanle Zheng, Jiayi Mao, Siyuan Ding, Xing Liu, Mingkun Xu, Yifan Hu, Jing Pei, Lei Deng

CoRR, 2024

2023

Multi-grained system integration for hybrid-paradigm brain-inspired computing.

Jing Pei, Lei Deng, Cheng Ma, Xue Liu, Luping Shi

Sci. China Inf. Sci., April, 2023

Efficient GCN Deployment with Spiking Property on Spatial-Temporal Neuromorphic Chips.

Hongyi Li, Mingkun Xu, Jing Pei, Rong Zhao

Proceedings of the 2023 International Conference on Neuromorphic Systems, 2023

A Unified Structured Framework for AGI: Bridging Cognition and Neuromorphic Computing.

Mingkun Xu, Hao Zheng, Jing Pei, Lei Deng

Proceedings of the Artificial General Intelligence - 16th International Conference, 2023

2022

Neuromorphic computing chip with spatiotemporal elasticity for multi-intelligent-tasking robots.

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

Sci. Robotics, 2022

Endowing Spiking Neural Networks with Homeostatic Adaptivity for APS-DVS Bimodal Scenarios.

Mingkun Xu, Faqiang Liu, Jing Pei

Proceedings of the International Conference on Multimodal Interaction, 2022

2021

Adversarial symmetric GANs: Bridging adversarial samples and adversarial networks.

Faqiang Liu, Mingkun Xu, Guoqi Li, Jing Pei, Luping Shi, Rong Zhao

Neural Networks, 2021

Exploiting Spiking Dynamics with Spatial-temporal Feature Normalization in Graph Learning.

Mingkun Xu, Yujie Wu, Lei Deng, Faqiang Liu, Guoqi Li, Jing Pei

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

2020

SemiMap: A Semi-Folded Convolution Mapping for Speed-Overhead Balance on Crossbars.

Lei Deng, Yuan Xie, Ling Liang, Guanrui Wang, Liang Chang, Xing Hu, Xin Ma, Liu Liu, Jing Pei, Guoqi Li

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2020

Tianjic: A Unified and Scalable Chip Bridging Spike-Based and Continuous Neural Computation.

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

IEEE J. Solid State Circuits, 2020

Brain-inspired global-local hybrid learning towards human-like intelligence.

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

CoRR, 2020

ARLIF: A Flexible and Efficient Recurrent Neuronal Model for Sequential Tasks.

Daiheng Gao, Zhenzhi Wu, Yujie Wu, Guoqi Li, Jing Pei

Proceedings of the Human Brain and Artificial Intelligence - Second International Workshop, 2020

2019

Transfer Learning in General Lensless Imaging through Scattering Media.

Yukuan Yang, Lei Deng, Peng Jiao, Yansong Chua, Jing Pei, Cheng Ma, Guoqi Li

CoRR, 2019

Bridging adversarial samples and adversarial networks.

Faqiang Liu, Mingkun Xu, Guoqi Li, Jing Pei, Luping Shi

CoRR, 2019

2018

GXNOR-Net: Training deep neural networks with ternary weights and activations without full-precision memory under a unified discretization framework.

Lei Deng, Peng Jiao, Jing Pei, Zhenzhi Wu, Guoqi Li

Neural Networks, 2018

Training deep neural networks with discrete state transition.

Guoqi Li, Lei Deng, Lei Tian, Haotian Cui, Wentao Han, Jing Pei, Luping Shi

Neurocomputing, 2018

2017

Gated XNOR Networks: Deep Neural Networks with Ternary Weights and Activations under a Unified Discretization Framework.

Lei Deng, Peng Jiao, Jing Pei, Zhenzhi Wu, Guoqi Li

CoRR, 2017

2015

Extensible neuromorphic computing simulator based on a programmable hardware.

Shikai Wang, Cheng Ma, Dong Wang, Jing Pei

Proceedings of the 15th Non-Volatile Memory Technology Symposium, 2015

FPGA-based neuromorphic computing system with a scalable routing network.

Dong Wang, Lei Deng, Pei Tang, Cheng Ma, Jing Pei

Proceedings of the 15th Non-Volatile Memory Technology Symposium, 2015

Real-time tracking based on neuromrophic vision.

Hongmin Li, Jing Pei, Guoqi Li

Proceedings of the 15th Non-Volatile Memory Technology Symposium, 2015

A new computing rule for neuromorphic engineering.

Lei Deng, Dong Wang, Guoqi Li, Ziyang Zhang, Jing Pei

Proceedings of the 15th Non-Volatile Memory Technology Symposium, 2015