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20242026
most citedMulti-scale Spatio-temporal Transformer-based Imbalanced Longitudinal Learning for Glaucoma Forecasting from Irregular Time Series Images

1 citations · 1 across the 6 of their papers we have counts for

collaborators

7 papers

cs.CV2026

Optimize Surgical Triplet Recognition: A Knowledge-Driven Mixture-of-Experts Solution

Yiyi Zhang, Yuchen Yuan, Ying Zheng +4

Surgical action triplet recognition constitutes a critical task in context-aware robot-assisted surgery, facilitating automatic surgical action perception by identifying instrument…

cs.CV2026

Large-Small Model Collaboration for Zero-Shot Surgical Phase Recognition

Yiyi Zhang, Ying Zheng, Wenxin Fan +5

Task-specific lightweight models for surgical phase recognition excel at capturing temporal dynamics but generalize poorly under domain shift. Conversely, surgical foundation model…

cs.AI2026

SP-Mind: An Autonomous Reasoning Agent for Spatial Proteomics Analysis

Yucheng Yuan, Yuanfeng Ji, Zhongxiao Li +1

Spatial proteomics enables single-cell-resolution characterization of protein expression within tissue architecture, playing a critical role in understanding tumor microenvironment…

cs.CV2025

MEJO: MLLM-Engaged Surgical Triplet Recognition via Inter- and Intra-Task Joint Optimization

Yiyi Zhang, Yuchen Yuan, Ying Zheng +4

Surgical triplet recognition, which involves identifying instrument, verb, target, and their combinations, is a complex surgical scene understanding challenge plagued by long-taile…

cs.CV2025

Medical Large Vision Language Models with Multi-Image Visual Ability

Xikai Yang, Juzheng Miao, Yuchen Yuan +4

Medical large vision-language models (LVLMs) have demonstrated promising performance across various single-image question answering (QA) benchmarks, yet their capability in process…

cs.AI2025

MedHallTune: An Instruction-Tuning Benchmark for Mitigating Medical Hallucination in Vision-Language Models

Qiao Yan, Yuchen Yuan, Xiaowei Hu +6

The increasing use of vision-language models (VLMs) in healthcare applications presents great challenges related to hallucinations, in which the models may generate seemingly plaus…

cs.CV2024★ 1 cited

Multi-scale Spatio-temporal Transformer-based Imbalanced Longitudinal Learning for Glaucoma Forecasting from Irregular Time Series Images

Xikai Yang, Jian Wu, Xi Wang +3

Glaucoma is one of the major eye diseases that leads to progressive optic nerve fiber damage and irreversible blindness, afflicting millions of individuals. Glaucoma forecast is a…