Shuoxi Zhang

According to our database1, Shuoxi Zhang authored at least 16 papers between 2022 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Separators in Enhancing Autoregressive Pretraining for Vision Mamba.
CoRR, March, 2026

ITO: Images and Texts as One via Synergizing Multiple Alignment and Training-Time Fusion.
CoRR, March, 2026

iGVLM: Dynamic Instruction-Guided Vision Encoding for Question-Aware Multimodal Understanding.
CoRR, March, 2026

Boosting the patch-based self-supervised learning through past-to-present smoothing.
Pattern Recognit., 2026

Siamese transformer networks for few-shot image classification.
Appl. Soft Comput., 2026

2025
Residual Learning for Self-Knowledge Distillation: Enhancing Neural Networks Through Consistency Across Layers.
IEEE Trans. Big Data, October, 2025

Class Discriminative Knowledge Distillation.
IEEE Trans. Emerg. Top. Comput. Intell., April, 2025

Enhancing Pre-Trained Model-Based Class-Incremental Learning through Neural Collapse.
CoRR, April, 2025

Hyperspherical Dataset Distillation via Contrastive Embedding Alignment.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2025

Neural Collapse Inspired Knowledge Distillation.
Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024
Knowledge Distillation via Token-Level Relationship Graph Based on the Big Data Technologies.
Big Data Res., 2024

Grouped Logit Distillation Enhanced with Superclass Awareness for Efficient Knowledge Transfer.
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.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
Knowledge Distillation via Token-level Relationship Graph.
CoRR, 2023

Generating Pseudo-labels Adaptively for Few-shot Model-Agnostic Meta-Learning.
Proceedings of the 34th British Machine Vision Conference 2023, 2023

2022
Class-aware Information for Logit-based Knowledge Distillation.
CoRR, 2022


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