Dongcheng Zhao

IEEE Trans. Emerg. Top. Comput. Intell., April, 2025

Redefining Superalignment: From Weak-to-Strong Alignment to Human-AI Co-Alignment to Sustainable Symbiotic Society.

[BibT_eX]

[DOI]

CoRR, April, 2025

Biologically Inspired Spiking Diffusion Model with Adaptive Lateral Selection Mechanism.

[BibT_eX]

[DOI]

CoRR, March, 2025

Enhancing Audio-Visual Spiking Neural Networks through Semantic-Alignment and Cross-Modal Residual Learning.

[BibT_eX]

[DOI]

CoRR, February, 2025

<i>SpikePack</i>: Enhanced Information Flow in Spiking Neural Networks with High Hardware Compatibility.

[BibT_eX]

[DOI]

CoRR, January, 2025

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

[BibT_eX]

[DOI]

Pattern Recognit., 2025

Jailbreak Antidote: Runtime Safety-Utility Balance via Sparse Representation Adjustment in Large Language Models.

[BibT_eX]

[DOI]

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Pushing up to the Limit of Memory Bandwidth and Capacity Utilization for Efficient LLM Decoding on Embedded FPGA.

[BibT_eX]

[DOI]

Proceedings of the Design, Automation & Test in Europe Conference, 2025

StressPrompt: Does Stress Impact Large Language Models and Human Performance Similarly?

[BibT_eX]

[DOI]

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

EventZoom: A Progressive Approach to Event-Based Data Augmentation for Enhanced Neuromorphic Vision.

[BibT_eX]

[DOI]

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

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

[BibT_eX]

[DOI]

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., September, 2024

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

[BibT_eX]

[DOI]

Yiting Dong

IEEE Trans. Artif. Intell., July, 2024

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

[BibT_eX]

[DOI]

Neural Comput. Appl., May, 2024

Exploiting nonlinear dendritic adaptive computation in training deep Spiking Neural Networks.

[BibT_eX]

[DOI]

Neural Networks, 2024

Directly training temporal Spiking Neural Network with sparse surrogate gradient.

[BibT_eX]

[DOI]

Neural Networks, 2024

Spiking generative adversarial network with attention scoring decoding.

[BibT_eX]

[DOI]

Linghao Feng

Neural Networks, 2024

Harnessing Task Overload for Scalable Jailbreak Attacks on Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2024

Brain-Inspired Stepwise Patch Merging for Vision Transformers.

[BibT_eX]

[DOI]

CoRR, 2024

Time Cell Inspired Temporal Codebook in Spiking Neural Networks for Enhanced Image Generation.

[BibT_eX]

[DOI]

CoRR, 2024

Neuro-Vision to Language: Image Reconstruction and Language enabled Interaction via Brain Recordings.

[BibT_eX]

[DOI]

CoRR, 2024

Brain-inspired and Self-based Artificial Intelligence.

[BibT_eX]

[DOI]

CoRR, 2024

Efficient Training Spiking Neural Networks with Parallel Spiking Unit.

[BibT_eX]

[DOI]

CoRR, 2024

Neuro-Vision to Language: Enhancing Brain Recording-based Visual Reconstruction and Language Interaction.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

CACE-Net: Co-guidance Attention and Contrastive Enhancement for Effective Audio-Visual Event Localization.

[BibT_eX]

[DOI]

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Parallel Spiking Unit for Efficient Training of Spiking Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2024

TIM: An Efficient Temporal Interaction Module for Spiking Transformer.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Enhancing Spiking Transformers with Binary Attention Mechanisms.

[BibT_eX]

[DOI]

Proceedings of the Second Tiny Papers Track at ICLR 2024, 2024

Revealing Untapped DSP Optimization Potentials for FPGA-Based Systolic Matrix Engines.

[BibT_eX]

[DOI]

Proceedings of the 34th International Conference on Field-Programmable Logic and Applications, 2024

Are Conventional SNNs Really Efficient? A Perspective from Network Quantization.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Enhancing Few-Shot Learning in Spiking Neural Networks Through Hebbian-Augmented Associative Memory.

[BibT_eX]

[DOI]

Proceedings of the Advances in Brain Inspired Cognitive Systems, 2024

Optimized Service Function Deployment in Edge Computing Networks Using Deep Reinforcement Learning.

[BibT_eX]

[DOI]

Liuwei Huo

Bowen Zhu

Proceedings of the 7th International Conference on Algorithms, 2024

An Efficient Knowledge Transfer Strategy for Spiking Neural Networks from Static to Event Domain.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

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

[BibT_eX]

[DOI]

Inf. Sci., October, 2023

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

[BibT_eX]

[DOI]

IEEE Trans. Very Large Scale Integr. Syst., August, 2023

BrainCog: A spiking neural network based, brain-inspired cognitive intelligence engine for brain-inspired AI and brain simulation.

[BibT_eX]

[DOI]

Patterns, August, 2023

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

[BibT_eX]

[DOI]

Neural Networks, August, 2023

Astrocyte-Enabled Advancements in Spiking Neural Networks for Large Language Modeling.

[BibT_eX]

[DOI]

CoRR, 2023

Is Conventional SNN Really Efficient? A Perspective from Network Quantization.

[BibT_eX]

[DOI]

CoRR, 2023

Metaplasticity: Unifying Learning and Homeostatic Plasticity in Spiking Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2023

Bullying10K: A Neuromorphic Dataset towards Privacy-Preserving Bullying Recognition.

[BibT_eX]

[DOI]

CoRR, 2023

Dive into the Power of Neuronal Heterogeneity.

[BibT_eX]

[DOI]

CoRR, 2023

MSAT: Biologically Inspired Multi-Stage Adaptive Threshold for Conversion of Spiking Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2023

Improving the Performance of Spiking Neural Networks on Event-based Datasets with Knowledge Transfer.

[BibT_eX]

[DOI]

CoRR, 2023

FireFly: A High-Throughput and Reconfigurable Hardware Accelerator for Spiking Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2023

Bullying10K: A Large-Scale Neuromorphic Dataset towards Privacy-Preserving Bullying Recognition.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

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

[BibT_eX]

[DOI]

Patterns, 2022

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

[BibT_eX]

[DOI]

Yang Li

Neural Networks, 2022

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

[BibT_eX]

[DOI]

Inf. Sci., 2022

An Unsupervised Spiking Neural Network Inspired By Biologically Plausible Learning Rules and Connections.

[BibT_eX]

[DOI]

CoRR, 2022

EventMix: An Efficient Augmentation Strategy for Event-Based Data.

[BibT_eX]

[DOI]

CoRR, 2022

A Machine Learning Method and Device Based on Programmable Switch.

[BibT_eX]

[DOI]

Congcong Min

Hua Lu

Proceedings of the International Conference on Service Science, 2022

The Processing Method of the Message Based on the In-band Network Telemetry Technology.

[BibT_eX]

[DOI]

Congcong Min

Hua Lu

Proceedings of the International Conference on Service Science, 2022

2021

N-Omniglot: a Large-scale Neuromorphic Dataset for Spatio-Temporal Sparse Few-shot Learning.

[BibT_eX]

[DOI]

CoRR, 2021

Backpropagation with Biologically Plausible Spatio-Temporal Adjustment For Training Deep Spiking Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2021

BSNN: Towards Faster and Better Conversion of Artificial Neural Networks to Spiking Neural Networks with Bistable Neurons.

[BibT_eX]

[DOI]

Yang Li

CoRR, 2021

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

[BibT_eX]

[DOI]

Clust. Comput., 2021

2020

A Brain-Inspired Model of Theory of Mind.

[BibT_eX]

[DOI]

Frontiers Neurorobotics, 2020

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

[BibT_eX]

[DOI]

Frontiers Comput. Neurosci., 2020

2019

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

[BibT_eX]

[DOI]

Future Gener. Comput. Syst., 2019

On Orchestrating Service Function Chains in 5G Mobile Network.

[BibT_eX]

[DOI]

IEEE Access, 2019

Dynamic Fusion of Convolutional Features based on Spatial and Temporal Attention for Visual Tracking.

[BibT_eX]

[DOI]