Yang He

According to our database, Yang He authored at least 24 papers between 2018 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Soft Label Pruning and Quantization for Large-Scale Dataset Distillation.

Lingao Xiao, Yang He

CoRR, April, 2026

Dataset Color Quantization: A Training-Oriented Framework for Dataset-Level Compression.

Chenyue Yu, Lingao Xiao, Jinhong Deng, Ivor W. Tsang, Yang He

CoRR, February, 2026

GenMatLab: A Generative Platform for Inverse Materials Design.

Hangwei Qian, Yang He, Yaxin Shi, Ivor W. Tsang

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

SCOPE: Saliency-Coverage Oriented Token Pruning for Efficient Multimodel LLMs.

Jinhong Deng, Wen Li, Joey Tianyi Zhou, Yang He

CoRR, October, 2025

Rethinking Large-scale Dataset Compression: Shifting Focus From Labels to Images.

Lingao Xiao, Songhua Liu, Yang He, Xinchao Wang

CoRR, February, 2025

Swift Cross-Dataset Pruning: Enhancing Fine-Tuning Efficiency in Natural Language Understanding.

Binh-Nguyen Nguyen, Yang He

CoRR, January, 2025

Training-Free Dataset Pruning for Instance Segmentation.

Yalun Dai, Lingao Xiao, Ivor W. Tsang, Yang He

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Structured Pruning for Deep Convolutional Neural Networks: A Survey.

Yang He, Lingao Xiao

IEEE Trans. Pattern Anal. Mach. Intell., May, 2024

Are Large-scale Soft Labels Necessary for Large-scale Dataset Distillation?

Lingao Xiao, Yang He

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.

Yang He, Joey Tianyi Zhou

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Multisize Dataset Condensation.

Yang He, Lingao Xiao, Joey Tianyi Zhou, Ivor W. Tsang

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Filter Pruning by Switching to Neighboring CNNs With Good Attributes.

Yang He, Ping Liu, Linchao Zhu, Yi Yang

IEEE Trans. Neural Networks Learn. Syst., October, 2023

Progressive Local Filter Pruning for Image Retrieval Acceleration.

Xiaodong Wang, Zhedong Zheng, Yang He, Fei Yan, Zhiqiang Zeng, Yi Yang

IEEE Trans. Multim., 2023

You Only Condense Once: Two Rules for Pruning Condensed Datasets.

Yang He, Lingao Xiao, Joey Tianyi Zhou

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.

Xiao-Dong Wang, Zhedong Zheng, Yang He, Fei Yan, Zhiqiang Zeng, Yi Yang

IEEE Trans. Cybern., 2022

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

Ruiheng Zhang, Shuo Yang, Qi Zhang, Lixin Xu, Yang He, Fan Zhang

Neurocomputing, 2022

A Sensitivity-based Pruning Method for Convolutional Neural Networks.

Cankun Zhong, Yang He, Yifei An, Wing W. Y. Ng, Ting Wang

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2022

2020

Asymptotic Soft Filter Pruning for Deep Convolutional Neural Networks.

Yang He, Xuanyi Dong, Guoliang Kang, Yanwei Fu, Chenggang Yan, Yi Yang

IEEE Trans. Cybern., 2020

Learning Filter Pruning Criteria for Deep Convolutional Neural Networks Acceleration.

Yang He, Yuhang Ding, Ping Liu, Linchao Zhu, Hanwang Zhang, Yi Yang

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Meta Filter Pruning to Accelerate Deep Convolutional Neural Networks.

Yang He, Ping Liu, Linchao Zhu, Yi Yang

CoRR, 2019

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

Yang He, Ping Liu, Ziwei Wang, Zhilan Hu, Yi Yang

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

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

Yang He, Ping Liu, Ziwei Wang, Yi Yang

CoRR, 2018

Progressive Deep Neural Networks Acceleration via Soft Filter Pruning.

Yang He, Xuanyi Dong, Guoliang Kang, Yanwei Fu, Yi Yang

CoRR, 2018

Soft Filter Pruning for Accelerating Deep Convolutional Neural Networks.

Yang He, Guoliang Kang, Xuanyi Dong, Yanwei Fu, Yi Yang

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018