Weihang Peng

Orcid: 0000-0002-9798-8750

According to our database1, Weihang Peng authored at least 14 papers between 2018 and 2024.

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

Timeline

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Links

On csauthors.net:

Bibliography

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

Potential shared gene signatures and molecular mechanisms between atherosclerosis and depression: Evidence from transcriptome data.
Comput. Biol. Medicine, 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

2022
The Outcome of the 2022 Landslide4Sense Competition: Advanced Landslide Detection From Multisource Satellite Imagery.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022

The Outcome of the 2022 Landslide4Sense Competition: Advanced Landslide Detection from Multi-Source Satellite Imagery.
CoRR, 2022

Graph Neural Networks Beyond Compromise Between Attribute and Topology.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Difference Residual Graph Neural Networks.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Multispectral U-Net: A Semantic Segmentation Model Using Multispectral Bands Fusion Mechanism for Landslide Detection.
Proceedings of the Second Workshop on Complex Data Challenges in Earth Observation (CDCEO 2022) co-located with 31st International Joint Conference on Artificial Intelligence and the 25th European Conference on Artificial Intelligence (IJCAI-ECAI 2022), 2022

2021
Extracting Discriminative Features for Cross-View Gait Recognition Based on the Attention Mechanism.
Proceedings of the 24th IEEE International Conference on Computational Science and Engineering, 2021

2018
Depthwise Separable Convolution Feature Learning for Ihomogeneous Rock Image Classification.
Proceedings of the Cognitive Systems and Signal Processing - 4th International Conference, 2018


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