Weihang Peng

Orcid: 0000-0002-9579-7686

Affiliations:
  • China Aerospace Science and Industry Corporation (CASIC), Intelligent Science & Technology Academy, China


According to our database1, Weihang Peng authored at least 14 papers between 2023 and 2025.

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

Timeline

Legend:

Book 
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Article 
PhD thesis 
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Links

Online presence:

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Bibliography

2025
ReverB-SNN: Reversing Bit of the Weight and Activation for Spiking Neural Networks.
CoRR, June, 2025

Spiking Transformer:Introducing Accurate Addition-Only Spiking Self-Attention for Transformer.
CoRR, March, 2025

PT-BitNet: Scaling up the 1-Bit large language model with post-training quantization.
Neural Networks, 2025

Spiking Transformer: Introducing Accurate Addition-Only Spiking Self-Attention for Transformer.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024
Improved Event-Based Image De-Occlusion.
IEEE Signal Process. Lett., 2024

Technique Report of CVPR 2024 PBDL Challenges.
CoRR, 2024

Take A Shortcut Back: Mitigating the Gradient Vanishing for Training Spiking Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

EnOF-SNN: Training Accurate Spiking Neural Networks via Enhancing the Output Feature.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Enhancing Representation of Spiking Neural Networks via Similarity-Sensitive Contrastive Learning.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Ternary Spike: Learning Ternary Spikes for Spiking Neural Networks.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Joint A-SNN: Joint training of artificial and spiking neural networks via self-Distillation and weight factorization.
Pattern Recognit., October, 2023

Spiking PointNet: Spiking Neural Networks for Point Clouds.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Membrane Potential Batch Normalization for Spiking Neural Networks.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

RMP-Loss: Regularizing Membrane Potential Distribution for Spiking Neural Networks.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023


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