Yuetong Fang

Orcid: 0000-0003-0228-9082

According to our database1, Yuetong Fang authored at least 16 papers between 2022 and 2025.

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

Timeline

Legend:

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Links

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Bibliography

2025
Rethinking Efficient and Effective Point-Based Networks for Event Camera Classification and Regression.
IEEE Trans. Pattern Anal. Mach. Intell., August, 2025

TDSNNs: Competitive Topographic Deep Spiking Neural Networks for Visual Cortex Modeling.
CoRR, August, 2025

Hierarchical Multi-Label Contrastive Learning for Protein-Protein Interaction Prediction Across Organisms.
CoRR, July, 2025

Spiking Transformers Need High Frequency Information.
CoRR, May, 2025

CoRe<sup>2</sup>: Collect, Reflect and Refine to Generate Better and Faster.
CoRR, March, 2025

Optimal Brain Apoptosis.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Reuse and Blend: A Weight-Sharing Energy-Efficient Optical Neural Network.
Proceedings of the 30th Asia and South Pacific Design Automation Conference, 2025

Adaptive Calibration: A Unified Conversion Framework of Spiking Neural Networks.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024
Frequency-aware Event Cloud Network.
CoRR, 2024

Adaptive Calibration: A Unified Conversion Framework of Spiking Neural Network.
CoRR, 2024

Reuse and Blend: Energy-Efficient Optical Neural Network Enabled by Weight Sharing.
CoRR, 2024

Rethinking Efficient and Effective Point-based Networks for Event Camera Classification and Regression: EventMamba.
CoRR, 2024

Spiking Wavelet Transformer.
Proceedings of the Computer Vision - ECCV 2024, 2024

2023
Bursting Spikes: Efficient and High-performance SNNs for Event-based Vision.
CoRR, 2023

Masked Spiking Transformer.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022
Efficient Spiking Transformer Enabled By Partial Information.
CoRR, 2022


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