collaborators

5 papers

cs.CV2026

Beyond Frame Selection: Generative Latent Evidence Aggregation for Long-Video Understanding

Bowen Liu, Shuning Wang, Xinpeng Ding +3

Long-video understanding commonly compresses videos into a small set of frames or visual tokens for answer generation. Existing compact pipelines focus on retaining relevant visual…

cs.CV2026

See More, Think Deeper: Query-Expanded Visual Evidence and Answer-Clue Guided Reflection for Long Video Understanding

Shuning Wang, Zhiheng Wu, YiNuo Lu +6

Recent advances in Video Large Language Models (Video-LLMs) have enabled performance on long-video understanding tasks. However, existing methods still face two key limitations: ev…

cs.CV2026

MedHorizon: Towards Long-context Medical Video Understanding in the Wild

Bodong Du, Bowen Liu, Yang Yu +8

Medical multimodal large language models (MLLMs) have advanced image understanding and short-video analysis, but real clinical review often requires full-procedure video understand…

cs.CV2026

Divide-then-Diagnose: Weaving Clinician-Inspired Contexts for Ultra-Long Capsule Endoscopy Videos

Bowen Liu, Li Yang, Shanshan Song +6

Capsule endoscopy (CE) enables non-invasive gastrointestinal screening, but current CE research remains largely limited to frame-level classification and detection, leaving video-l…

cs.LG2025

Subgraph Aggregation for Out-of-Distribution Generalization on Graphs

Bowen Liu, Haoyang Li, Shuning Wang +2

Out-of-distribution (OOD) generalization in Graph Neural Networks (GNNs) has gained significant attention due to its critical importance in graph-based predictions in real-world sc…