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

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.AI2026

RadHiera: Semantic Hierarchical Reinforcement Learning for Medical Report Generation

Bodong Du, Honglong Yang, Xiaomeng Li

Vision-language models have shown promising results in radiology report generation. However, most existing methods generate reports as flat text and do not explicitly model the sem…

cs.CL2026

Distribution-Aware Reward Estimation for Test-Time Reinforcement Learning

Bodong Du, Xuanqi Huang, Xiaomeng Li

Test-time reinforcement learning (TTRL) enables large language models (LLMs) to self-improve on unlabeled inputs, but its effectiveness critically depends on how reward signals are…

cs.CV2025

Multi-Modal Explainable Medical AI Assistant for Trustworthy Human-AI Collaboration

Honglong Yang, Shanshan Song, Yi Qin +6

Generalist Medical AI (GMAI) systems have demonstrated expert-level performance in biomedical perception tasks, yet their clinical utility remains limited by inadequate multi-modal…