Man Yao

Orcid: 0000-0002-0904-8524

According to our database1, Man Yao authored at least 21 papers between 2004 and 2024.

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

Timeline

Legend:

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Links

On csauthors.net:

Bibliography

2024
SNN-BERT: Training-efficient Spiking Neural Networks for energy-efficient BERT.
Neural Networks, 2024

RSC-SNN: Exploring the Trade-off Between Adversarial Robustness and Accuracy in Spiking Neural Networks via Randomized Smoothing Coding.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

High-Performance Temporal Reversible Spiking Neural Networks with O(L) Training Memory and O(1) Inference Cost.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Spike-driven Transformer V2: Meta Spiking Neural Network Architecture Inspiring the Design of Next-generation Neuromorphic Chips.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Integer-Valued Training and Spike-Driven Inference Spiking Neural Network for High-Performance and Energy-Efficient Object Detection.
Proceedings of the Computer Vision - ECCV 2024, 2024

SpikeVoice: High-Quality Text-to-Speech Via Efficient Spiking Neural Network.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023
Sparser spiking activity can be better: Feature Refine-and-Mask spiking neural network for event-based visual recognition.
Neural Networks, September, 2023

Attention Spiking Neural Networks.
IEEE Trans. Pattern Anal. Mach. Intell., August, 2023

Kronecker CP Decomposition With Fast Multiplication for Compressing RNNs.
IEEE Trans. Neural Networks Learn. Syst., May, 2023

Probabilistic Modeling: Proving the Lottery Ticket Hypothesis in Spiking Neural Network.
CoRR, 2023

Spike-driven Transformer.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Inherent Redundancy in Spiking Neural Networks.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022
Efficient Visual Recognition: A Survey on Recent Advances and Brain-inspired Methodologies.
Int. J. Autom. Comput., 2022

MSS-DepthNet: Depth Prediction with Multi-Step Spiking Neural Network.
CoRR, 2022

2021
Typology and literature review on multiple supplier inventory control models.
Eur. J. Oper. Res., 2021

Temporal-wise Attention Spiking Neural Networks for Event Streams Classification.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2017
Characteristics analysis of DOPs for Dual-GNSS constellations with uncertain clock offset.
Proceedings of the 9th International Conference on Wireless Communications and Signal Processing, 2017

2015
Globally consistent alignment for mosaicking aerial images.
Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

2011
Neural networks for solving the inverse heat transfer problem of continuous casting mould.
Proceedings of the Seventh International Conference on Natural Computation, 2011

Particle swarm optimization for estimation on mould oscillation for continuous casting process.
Proceedings of the Seventh International Conference on Natural Computation, 2011

2004
Application of BP Neural Network for the Abnormity Monitoring in Slab Continuous Casting.
Proceedings of the Advances in Neural Networks, 2004


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