Shuoxi Zhang

According to our database, Shuoxi Zhang authored at least 12 papers between 2022 and 2025.

Collaborative distances:

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

2025

Residual Learning for Self-Knowledge Distillation: Enhancing Neural Networks Through Consistency Across Layers.

Hanpeng Liu, Shuoxi Zhang, Kun He

IEEE Trans. Big Data, October, 2025

Class Discriminative Knowledge Distillation.

Shuoxi Zhang, Hanpeng Liu, Yuyi Wang, Kun He, Jun Lin, Yang Zeng

IEEE Trans. Emerg. Top. Comput. Intell., April, 2025

Enhancing Pre-Trained Model-Based Class-Incremental Learning through Neural Collapse.

Kun He, Zijian Song, Shuoxi Zhang, John E. Hopcroft

CoRR, April, 2025

Hyperspherical Dataset Distillation via Contrastive Embedding Alignment.

Shuoxi Zhang, Hanpeng Liu, Stephen Lin, Kun He

Proceedings of the IEEE International Conference on Multimedia and Expo, 2025

Neural Collapse Inspired Knowledge Distillation.

Shuoxi Zhang, Zijian Song, Kun He

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

Siamese Transformer Networks for Few-shot Image Classification.

Weihao Jiang, Shuoxi Zhang, Kun He

CoRR, 2024

Knowledge Distillation via Token-Level Relationship Graph Based on the Big Data Technologies.

Shuoxi Zhang, Hanpeng Liu, Kun He

Big Data Res., 2024

Grouped Logit Distillation Enhanced with Superclass Awareness for Efficient Knowledge Transfer.

Shuoxi Zhang, Hanpeng Liu, Yuyi Wang, Kun He

Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

You Only Need Less Attention at Each Stage in Vision Transformers.

Shuoxi Zhang, Hanpeng Liu, Stephen Lin, Kun He

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Knowledge Distillation via Token-level Relationship Graph.

Shuoxi Zhang, Hanpeng Liu, Kun He

CoRR, 2023

Generating Pseudo-labels Adaptively for Few-shot Model-Agnostic Meta-Learning.

Guodong Liu, Tongling Wang, Shuoxi Zhang, Kun He

Proceedings of the 34th British Machine Vision Conference 2023, 2023

2022

Class-aware Information for Logit-based Knowledge Distillation.

Shuoxi Zhang, Hanpeng Liu, John E. Hopcroft, Kun He

CoRR, 2022