Yang He

Orcid: 0000-0002-2257-6073

Affiliations:
  • Agency for Science, Technology and Research, Singapore
  • University of Technology Sydney, Australia (PhD 2022)


According to our database1, Yang He authored at least 21 papers between 2018 and 2025.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2025
SCOPE: Saliency-Coverage Oriented Token Pruning for Efficient Multimodel LLMs.
CoRR, October, 2025

Rethinking Large-scale Dataset Compression: Shifting Focus From Labels to Images.
CoRR, February, 2025

Swift Cross-Dataset Pruning: Enhancing Fine-Tuning Efficiency in Natural Language Understanding.
CoRR, January, 2025

Training-Free Dataset Pruning for Instance Segmentation.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024
Structured Pruning for Deep Convolutional Neural Networks: A Survey.
IEEE Trans. Pattern Anal. Mach. Intell., May, 2024

Are Large-scale Soft Labels Necessary for Large-scale Dataset Distillation?
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Data-independent Module-aware Pruning for Hierarchical Vision Transformers.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Multisize Dataset Condensation.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023
Filter Pruning by Switching to Neighboring CNNs With Good Attributes.
IEEE Trans. Neural Networks Learn. Syst., October, 2023

Progressive Local Filter Pruning for Image Retrieval Acceleration.
IEEE Trans. Multim., 2023

You Only Condense Once: Two Rules for Pruning Condensed Datasets.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022
Soft Person Reidentification Network Pruning via Blockwise Adjacent Filter Decaying.
IEEE Trans. Cybern., 2022

Graph-based few-shot learning with transformed feature propagation and optimal class allocation.
Neurocomputing, 2022

A Sensitivity-based Pruning Method for Convolutional Neural Networks.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2022

2020
Asymptotic Soft Filter Pruning for Deep Convolutional Neural Networks.
IEEE Trans. Cybern., 2020

Learning Filter Pruning Criteria for Deep Convolutional Neural Networks Acceleration.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
Meta Filter Pruning to Accelerate Deep Convolutional Neural Networks.
CoRR, 2019

Filter Pruning via Geometric Median for Deep Convolutional Neural Networks Acceleration.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018
Pruning Filter via Geometric Median for Deep Convolutional Neural Networks Acceleration.
CoRR, 2018

Progressive Deep Neural Networks Acceleration via Soft Filter Pruning.
CoRR, 2018

Soft Filter Pruning for Accelerating Deep Convolutional Neural Networks.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018


  Loading...