In-context Learning with Transformer Is Really Equivalent to a Contrastive Learning Pattern. - Ruifeng Ren; Yong Liu (CoRR, 2023)

Endmember Distinguished Low-Rank and Sparse Representation for Hyperspectral Unmixing. - Ruifeng Ren; Jin-Liang Xiao; Jie Huang (IGARSS, 2024)

Towards Understanding How Transformers Learn In-context Through a Representation Learning Lens. - Ruifeng Ren; Yong Liu (NeurIPS, 2024)

Can Mamba Always Enjoy the "Free Lunch"? - Ruifeng Ren; Zhicong Li; Yong Liu (CoRR, 2024)

Unveiling the Mechanisms of Explicit CoT Training: How Chain-of-Thought Enhances Reasoning Generalization. - Xinhao Yao; Ruifeng Ren; Yun Liao; Yong Liu (CoRR, 2025)

Revisiting Transformers through the Lens of Low Entropy and Dynamic Sparsity. - Ruifeng Ren; Yong Liu (CoRR, 2025)