Jing Pei

Orcid: 0000-0003-2340-0616

According to our database1, Jing Pei authored at least 26 papers between 2015 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Legend:

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Links

On csauthors.net:

Bibliography

2024
Spike Attention Coding for Spiking Neural Networks.
IEEE Trans. Neural Networks Learn. Syst., December, 2024

Network Group Partition and Core Placement Optimization for Neuromorphic Multi-Core and Multi-Chip Systems.
IEEE Trans. Emerg. Top. Comput. Intell., December, 2024

HASP: Hierarchical Asynchronous Parallelism for Multi-NN Tasks.
IEEE Trans. Computers, February, 2024

Understanding the functional roles of modelling components in spiking neural networks.
Neuromorph. Comput. Eng., 2024

Unveiling the Potential of Spiking Dynamics in Graph Representation Learning through Spatial-Temporal Normalization and Coding Strategies.
CoRR, 2024

Enhancing Graph Representation Learning with Attention-Driven Spiking Neural Networks.
CoRR, 2024

2023
Multi-grained system integration for hybrid-paradigm brain-inspired computing.
Sci. China Inf. Sci., April, 2023

Efficient GCN Deployment with Spiking Property on Spatial-Temporal Neuromorphic Chips.
Proceedings of the 2023 International Conference on Neuromorphic Systems, 2023

A Unified Structured Framework for AGI: Bridging Cognition and Neuromorphic Computing.
Proceedings of the Artificial General Intelligence - 16th International Conference, 2023

2022
Neuromorphic computing chip with spatiotemporal elasticity for multi-intelligent-tasking robots.
Sci. Robotics, 2022

Endowing Spiking Neural Networks with Homeostatic Adaptivity for APS-DVS Bimodal Scenarios.
Proceedings of the International Conference on Multimodal Interaction, 2022

2021
Adversarial symmetric GANs: Bridging adversarial samples and adversarial networks.
Neural Networks, 2021

Exploiting Spiking Dynamics with Spatial-temporal Feature Normalization in Graph Learning.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

2020
SemiMap: A Semi-Folded Convolution Mapping for Speed-Overhead Balance on Crossbars.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2020

Tianjic: A Unified and Scalable Chip Bridging Spike-Based and Continuous Neural Computation.
IEEE J. Solid State Circuits, 2020

Brain-inspired global-local hybrid learning towards human-like intelligence.
CoRR, 2020

ARLIF: A Flexible and Efficient Recurrent Neuronal Model for Sequential Tasks.
Proceedings of the Human Brain and Artificial Intelligence - Second International Workshop, 2020

2019
Transfer Learning in General Lensless Imaging through Scattering Media.
CoRR, 2019

Bridging adversarial samples and adversarial networks.
CoRR, 2019

2018
GXNOR-Net: Training deep neural networks with ternary weights and activations without full-precision memory under a unified discretization framework.
Neural Networks, 2018

Training deep neural networks with discrete state transition.
Neurocomputing, 2018

2017
Gated XNOR Networks: Deep Neural Networks with Ternary Weights and Activations under a Unified Discretization Framework.
CoRR, 2017

2015
Extensible neuromorphic computing simulator based on a programmable hardware.
Proceedings of the 15th Non-Volatile Memory Technology Symposium, 2015

FPGA-based neuromorphic computing system with a scalable routing network.
Proceedings of the 15th Non-Volatile Memory Technology Symposium, 2015

Real-time tracking based on neuromrophic vision.
Proceedings of the 15th Non-Volatile Memory Technology Symposium, 2015

A new computing rule for neuromorphic engineering.
Proceedings of the 15th Non-Volatile Memory Technology Symposium, 2015


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