Shuoxi Zhang - RankMe

20 papers A* 2A 3Journal 15

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Boosting the patch-based self-supervised learning through past-to-present smoothing. Pattern Recognit. Hanpeng Liu, Shuoxi Zhang, Kaiyuan Gao, Kun He
2026	J	`jnl`	ITO: Images and Texts as One via Synergizing Multiple Alignment and Training-Time Fusion. CoRR Hanpeng Liu, Yaqian Li, Zidan Wang, Shuoxi Zhang, Zonglin Zhao, Zihao Bo, Rinyoichi Takezoe, Kaiwen Long, Kun He
2026	J	`jnl`	Separators in Enhancing Autoregressive Pretraining for Vision Mamba. CoRR Hanpeng Liu, Zidan Wang, Shuoxi Zhang, Kaiyuan Gao, Kun He
2026	J	`jnl`	Siamese transformer networks for few-shot image classification. Appl. Soft Comput. Weihao Jiang, Shuoxi Zhang, Kun He
2026	J	`jnl`	iGVLM: Dynamic Instruction-Guided Vision Encoding for Question-Aware Multimodal Understanding. CoRR Hanpeng Liu, Yaqian Li, Zidan Wang, Shuoxi Zhang, Zihao Bo, Rinyoichi Takezoe, Kaiwen Long, Kun He
2025	J	`jnl`	Class Discriminative Knowledge Distillation. IEEE Trans. Emerg. Top. Comput. Intell. Shuoxi Zhang, Hanpeng Liu, Yuyi Wang, Kun He, Jun Lin, Yang Zeng
2025	J	`jnl`	Enhancing Pre-Trained Model-Based Class-Incremental Learning through Neural Collapse. CoRR Kun He, Zijian Song, Shuoxi Zhang, John E. Hopcroft
2025	A	`conf`	Hyperspherical Dataset Distillation via Contrastive Embedding Alignment. ICME Shuoxi Zhang, Hanpeng Liu, Stephen Lin, Kun He
2025	A*	`conf`	Neural Collapse Inspired Knowledge Distillation. AAAI Shuoxi Zhang, Zijian Song, Kun He
2025	J	`jnl`	Residual Learning for Self-Knowledge Distillation: Enhancing Neural Networks Through Consistency Across Layers. IEEE Trans. Big Data Hanpeng Liu, Shuoxi Zhang, Kun He
2024	A	`conf`	Grouped Logit Distillation Enhanced with Superclass Awareness for Efficient Knowledge Transfer. ECAI Shuoxi Zhang, Hanpeng Liu, Yuyi Wang, Kun He
2024	J	`jnl`	Knowledge Distillation via Token-Level Relationship Graph Based on the Big Data Technologies. Big Data Res. Shuoxi Zhang, Hanpeng Liu, Kun He
2024	J	`jnl`	Neural Collapse Inspired Knowledge Distillation. CoRR Shuoxi Zhang, Zijian Song, Kun He
2024	J	`jnl`	Siamese Transformer Networks for Few-shot Image Classification. CoRR Weihao Jiang, Shuoxi Zhang, Kun He
2024	A*	`conf`	You Only Need Less Attention at Each Stage in Vision Transformers. CVPR Shuoxi Zhang, Hanpeng Liu, Stephen Lin, Kun He
2024	J	`jnl`	You Only Need Less Attention at Each Stage in Vision Transformers. CoRR Shuoxi Zhang, Hanpeng Liu, Stephen Lin, Kun He
2023	A	`conf`	Generating Pseudo-labels Adaptively for Few-shot Model-Agnostic Meta-Learning. BMVC Guodong Liu, Tongling Wang, Shuoxi Zhang, Kun He
2023	J	`jnl`	Knowledge Distillation via Token-level Relationship Graph. CoRR Shuoxi Zhang, Hanpeng Liu, Kun He
2022	J	`jnl`	Class-aware Information for Logit-based Knowledge Distillation. CoRR Shuoxi Zhang, Hanpeng Liu, John E. Hopcroft, Kun He
2022	J	`jnl`	Generating Pseudo-labels Adaptively for Few-shot Model-Agnostic Meta-Learning. CoRR Guodong Liu, Tongling Wang, Shuoxi Zhang, Kun He