Class-aware Information for Logit-based Knowledge Distillation. - Shuoxi Zhang; Hanpeng Liu; John E. Hopcroft; Kun He 001 (CoRR, 2022)

Generating Pseudo-labels Adaptively for Few-shot Model-Agnostic Meta-Learning. - Guodong Liu; Tongling Wang; Shuoxi Zhang; Kun He 001 (BMVC, 2023)

Knowledge Distillation via Token-level Relationship Graph. - Shuoxi Zhang; Hanpeng Liu; Kun He 001 (CoRR, 2023)

You Only Need Less Attention at Each Stage in Vision Transformers. - Shuoxi Zhang; Hanpeng Liu; Stephen Lin 001; Kun He 001 (CVPR, 2024)

Grouped Logit Distillation Enhanced with Superclass Awareness for Efficient Knowledge Transfer. - Shuoxi Zhang; Hanpeng Liu; Yuyi Wang 001; Kun He 001 (ECAI, 2024)

Knowledge Distillation via Token-Level Relationship Graph Based on the Big Data Technologies. - Shuoxi Zhang; Hanpeng Liu; Kun He 001 (Big Data Res., 2024)

Siamese Transformer Networks for Few-shot Image Classification. - Weihao Jiang; Shuoxi Zhang; Kun He 001 (CoRR, 2024)

Neural Collapse Inspired Knowledge Distillation. - Shuoxi Zhang; Zijian Song; Kun He 001 (AAAI, 2025)

Enhancing Pre-Trained Model-Based Class-Incremental Learning through Neural Collapse. - Kun He 001; Zijian Song; Shuoxi Zhang; John E. Hopcroft (CoRR, 2025)

Class Discriminative Knowledge Distillation. - Shuoxi Zhang; Hanpeng Liu; Yuyi Wang 001; Kun He 001; Jun Lin 005; Yang Zeng (IEEE Trans. Emerg. Top. Comput. Intell., 2025)