Rongkun Xue — accepted AI-conference papers

2026

GThinker: Towards General Multimodal Reasoning via Cue-Guided Rethinking

Yufei Zhan, Ziheng Wu, Yousong Zhu, Rongkun Xue, Guanghao Zhou, Ruipu Luo +8

CVPR 2026

Despite recent advances in multimodal reasoning, Multimodal Large Language Models (MLLMs) still struggle on complex tasks where initial visual perceptions can be misleading. This performance gap stems from a critical reasoning flaw we term Visual Inertia: while MLLMs excel at iterative reflection in

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2025

Pretrained Reversible Generation as Unsupervised Visual Representation Learning

Rongkun Xue, Jinouwen Zhang, Yazhe Niu, Dazhong Shen, Bingqi Ma, Yu Liu +1

ICCV 2025poster

Recent generative models based on score matching and flow matching have significantly advanced generation tasks, but their potential in discriminative tasks remains underexplored. Previous approaches, such as generative classifiers, have not fully leveraged the capabilities of these models for discr…

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