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cs.LG2026
Mapping the Concept Landscape: Structural Perception of Global Distributions for Transparent Data Pruning
Dongyue Wu, Tao Ma
Existing data pruning methods predominantly rely on high-dimensional feature embeddings to measure sample importance. However, these compressed vectors often obscure fine-grained s…
cs.CV2026
Achieving Text-based Person Retrieval with Any Granularity
Jialong Zuo, Hanyu Zhou, Dongyue Wu +5
Text-based person retrieval faces a critical but under-explored challenge: the inherent uncertainty of query granularity in real-world scenarios. This paper introduces a new paradi…
cs.LG2026
Selecting Samples on Graphs: A Unified Dataset Pruning Framework for Lossless Training Acceleration
Dongyue Wu, Zilin Guo, Xiaoyu Li +4
The rapid growth of modern training datasets has significantly increased computational cost, motivating dataset pruning~(DP) methods which retain only a subset of informative sampl…