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Live Migration for Multiple Correlated Virtual Machines in Cloud-Based Data Centers

IEEE transactions on services computing, 2018-03, Vol.11 (2), p.279-291

2018

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Backpropagation with biologically plausible spatiotemporal adjustment for training deep spiking neural networks

Patterns (New York, N.Y.), 2022-06, Vol.3 (6), p.100522-100522, Article 100522

2022

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GLSNN: A Multi-Layer Spiking Neural Network Based on Global Feedback Alignment and Local STDP Plasticity

Frontiers in computational neuroscience, 2020-11, Vol.14, p.576841-576841

2020

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BSNN: Towards faster and better conversion of artificial neural networks to spiking neural networks with bistable neurons

Frontiers in neuroscience, 2022-10, Vol.16, p.991851-991851

2022

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N-Omniglot, a large-scale neuromorphic dataset for spatio-temporal sparse few-shot learning

Scientific data, 2022-12, Vol.9 (1), p.746-746, Article 746

2022

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On Orchestrating Service Function Chains in 5G Mobile Network

IEEE access, 2019, Vol.7, p.39402-39416

2019

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A Brain-Inspired Model of Theory of Mind

Frontiers in neurorobotics, 2020-08, Vol.14, p.60-60

2020

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Towards Resource-Efficient Service Function Chain Deployment in Cloud-Fog Computing

IEEE access, 2018, Vol.6, p.66754-66766

2018

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BackEISNN: A deep spiking neural network with adaptive self-feedback and balanced excitatory–inhibitory neurons

Neural networks, 2022-10, Vol.154, p.68-77

2022

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Spiking generative adversarial network with attention scoring decoding

Neural networks, 2024-10, Vol.178, p.106423, Article 106423

2024

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EventMix: An efficient data augmentation strategy for event-based learning

Information sciences, 2023-10, Vol.644, p.119170, Article 119170

2023

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Exploiting nonlinear dendritic adaptive computation in training deep Spiking Neural Networks

Neural networks, 2024-02, Vol.170, p.190-201

2024

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Spiking CapsNet: A spiking neural network with a biologically plausible routing rule between capsules

Information sciences, 2022-09, Vol.610, p.1-13

2022

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Brain-inspired neural circuit evolution for spiking neural networks

Proceedings of the National Academy of Sciences - PNAS, 2023-09, Vol.120 (39), p.e2218173120

2023

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Improving stability and performance of spiking neural networks through enhancing temporal consistency

Pattern recognition, 2025-03, Vol.159, p.111094, Article 111094

2025

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Directly training temporal Spiking Neural Network with sparse surrogate gradient

Neural networks, 2024-11, Vol.179, p.106499, Article 106499

2024

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An unsupervised STDP-based spiking neural network inspired by biologically plausible learning rules and connections

Neural networks, 2023-08, Vol.165, p.799-808

2023

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FireFly v2: Advancing Hardware Support for High-Performance Spiking Neural Network With a Spatiotemporal FPGA Accelerator

IEEE transactions on computer-aided design of integrated circuits and systems, 2024-09, Vol.43 (9), p.2647-2660

2024

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FireFly: A High-Throughput Hardware Accelerator for Spiking Neural Networks With Efficient DSP and Memory Optimization

IEEE transactions on very large scale integration (VLSI) systems, 2023-08, Vol.31 (8), p.1-14

2023

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A new technique for efficient live migration of multiple virtual machines

Future generation computer systems, 2016-02, Vol.55, p.74-86

2016

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Mobile-aware service function chain migration in cloud–fog computing

Future generation computer systems, 2019-07, Vol.96, p.591-604

2019

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Towards provisioning hybrid virtual networks in federated cloud data centers

Future generation computer systems, 2018-10, Vol.87, p.457-469

2018

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MSAT: biologically inspired multistage adaptive threshold for conversion of spiking neural networks

Neural computing & applications, 2024-05, Vol.36 (15), p.8531-8547

2024

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Temporal Knowledge Sharing Enable Spiking Neural Network Learning From Past and Future

IEEE transactions on artificial intelligence, 2024-07, Vol.5 (7), p.3524-3534

2024

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Security-SLA-guaranteed service function chain deployment in cloud-fog computing networks

Cluster computing, 2021-09, Vol.24 (3), p.2479-2494

2021

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Live Migration for Multiple Correlated Virtual Machines in Cloud-Based Data Centers

Backpropagation with biologically plausible spatiotemporal adjustment for training deep spiking neural networks

GLSNN: A Multi-Layer Spiking Neural Network Based on Global Feedback Alignment and Local STDP Plasticity

BSNN: Towards faster and better conversion of artificial neural networks to spiking neural networks with bistable neurons

N-Omniglot, a large-scale neuromorphic dataset for spatio-temporal sparse few-shot learning

On Orchestrating Service Function Chains in 5G Mobile Network

A Brain-Inspired Model of Theory of Mind

Towards Resource-Efficient Service Function Chain Deployment in Cloud-Fog Computing

BackEISNN: A deep spiking neural network with adaptive self-feedback and balanced excitatory–inhibitory neurons

Spiking generative adversarial network with attention scoring decoding

EventMix: An efficient data augmentation strategy for event-based learning

Exploiting nonlinear dendritic adaptive computation in training deep Spiking Neural Networks

Spiking CapsNet: A spiking neural network with a biologically plausible routing rule between capsules

Brain-inspired neural circuit evolution for spiking neural networks

Improving stability and performance of spiking neural networks through enhancing temporal consistency

Directly training temporal Spiking Neural Network with sparse surrogate gradient

An unsupervised STDP-based spiking neural network inspired by biologically plausible learning rules and connections

FireFly v2: Advancing Hardware Support for High-Performance Spiking Neural Network With a Spatiotemporal FPGA Accelerator

FireFly: A High-Throughput Hardware Accelerator for Spiking Neural Networks With Efficient DSP and Memory Optimization

A new technique for efficient live migration of multiple virtual machines

Mobile-aware service function chain migration in cloud–fog computing

Towards provisioning hybrid virtual networks in federated cloud data centers

MSAT: biologically inspired multistage adaptive threshold for conversion of spiking neural networks

Temporal Knowledge Sharing Enable Spiking Neural Network Learning From Past and Future

Security-SLA-guaranteed service function chain deployment in cloud-fog computing networks

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