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2020 – today
- 2026
[j5]Weihao Jiang
, Shuoxi Zhang, Kun He:
Siamese transformer networks for few-shot image classification. Appl. Soft Comput. 194: 114966 (2026)- [j4]Hanpeng Liu, Shuoxi Zhang, Kaiyuan Gao, Kun He:
Boosting the patch-based self-supervised learning through past-to-present smoothing. Pattern Recognit. 173: 112871 (2026) - [i10]Hanpeng Liu, Yaqian Li, Zidan Wang, Shuoxi Zhang, Zihao Bo, Rinyoichi Takezoe, Kaiwen Long, Kun He:
iGVLM: Dynamic Instruction-Guided Vision Encoding for Question-Aware Multimodal Understanding. CoRR abs/2603.02748 (2026) - [i9]Hanpeng Liu, Yaqian Li, Zidan Wang, Shuoxi Zhang, Zonglin Zhao, Zihao Bo, Rinyoichi Takezoe, Kaiwen Long, Kun He:
ITO: Images and Texts as One via Synergizing Multiple Alignment and Training-Time Fusion. CoRR abs/2603.02767 (2026) - [i8]Hanpeng Liu, Zidan Wang, Shuoxi Zhang, Kaiyuan Gao, Kun He:
Separators in Enhancing Autoregressive Pretraining for Vision Mamba. CoRR abs/2603.03806 (2026) - 2025
- [j3]Hanpeng Liu, Shuoxi Zhang, Kun He:
Residual Learning for Self-Knowledge Distillation: Enhancing Neural Networks Through Consistency Across Layers. IEEE Trans. Big Data 11(5): 2615-2627 (2025) - [j2]Shuoxi Zhang, Hanpeng Liu, Yuyi Wang, Kun He, Jun Lin, Yang Zeng:
Class Discriminative Knowledge Distillation. IEEE Trans. Emerg. Top. Comput. Intell. 9(2): 1340-1351 (2025) - [c5]Shuoxi Zhang, Zijian Song, Kun He:
Neural Collapse Inspired Knowledge Distillation. AAAI 2025: 22542-22550 - [c4]Shuoxi Zhang, Hanpeng Liu, Stephen Lin, Kun He:
Hyperspherical Dataset Distillation via Contrastive Embedding Alignment. ICME 2025: 1-6 - [i7]Kun He, Zijian Song, Shuoxi Zhang, John E. Hopcroft:
Enhancing Pre-Trained Model-Based Class-Incremental Learning through Neural Collapse. CoRR abs/2504.18437 (2025) - 2024
- [j1]Shuoxi Zhang, Hanpeng Liu, Kun He:
Knowledge Distillation via Token-Level Relationship Graph Based on the Big Data Technologies. Big Data Res. 36: 100438 (2024) - [c3]Shuoxi Zhang, Hanpeng Liu, Stephen Lin, Kun He:
You Only Need Less Attention at Each Stage in Vision Transformers. CVPR 2024: 6057-6066 - [c2]Shuoxi Zhang, Hanpeng Liu, Yuyi Wang, Kun He:
Grouped Logit Distillation Enhanced with Superclass Awareness for Efficient Knowledge Transfer. ECAI 2024: 2564-2571 - [i6]Shuoxi Zhang, Hanpeng Liu, Stephen Lin, Kun He:
You Only Need Less Attention at Each Stage in Vision Transformers. CoRR abs/2406.00427 (2024) - [i5]Weihao Jiang, Shuoxi Zhang, Kun He:
Siamese Transformer Networks for Few-shot Image Classification. CoRR abs/2408.01427 (2024) - [i4]Shuoxi Zhang, Zijian Song, Kun He:
Neural Collapse Inspired Knowledge Distillation. CoRR abs/2412.11788 (2024) - 2023
- [c1]Guodong Liu, Tongling Wang, Shuoxi Zhang, Kun He:
Generating Pseudo-labels Adaptively for Few-shot Model-Agnostic Meta-Learning. BMVC 2023: 292-294 - [i3]Shuoxi Zhang, Hanpeng Liu, Kun He:
Knowledge Distillation via Token-level Relationship Graph. CoRR abs/2306.12442 (2023) - 2022
- [i2]Guodong Liu, Tongling Wang, Shuoxi Zhang, Kun He:
Generating Pseudo-labels Adaptively for Few-shot Model-Agnostic Meta-Learning. CoRR abs/2207.04217 (2022) - [i1]Shuoxi Zhang, Hanpeng Liu, John E. Hopcroft, Kun He:
Class-aware Information for Logit-based Knowledge Distillation. CoRR abs/2211.14773 (2022)
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