Chenhan Jin — accepted AI-conference papers

2026

OrderDP: A Theoretically Guaranteed Lossless Dynamic Data Pruning Framework

Chenhan Jin, Shengze Xu, Qingsong Wang, Fan JIA, Dingshuo Chen, Tieyong Zeng

ICLR 2026poster

Data pruning (DP), as an oft-stated strategy to alleviate heavy training burdens, reduces the volume of training samples according to a well-defined pruning method while striving for near-lossless performance. However, existing approaches, which commonly select highly informative samples, can lead t…

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2025

EndoVLA: Dual-Phase Vision-Language-Action for Precise Autonomous Tracking in Endoscopy

CHI KIT NG, Long Bai, Guankun Wang, Yupeng Wang, Huxin Gao, Kun yuan +3

CoRL 2025poster

In endoscopic procedures, autonomous tracking of abnormal regions and following of circumferential cutting markers can significantly reduce the cognitive burden on endoscopists. However, conventional model-based pipelines are fragile—each component (e.g., detection, motion planning) requires manual…

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