activity
20242026
most citedMM-Retinal V2: Transfer an Elite Knowledge Spark into Fundus Vision-Language Pretraining

2 citations · 4 across the 5 of their papers we have counts for

collaborators

6 papers

math.AG2026

The canonical class and Chern character operators on Hilbert schemes of points

Wei-Ping Li, Zhongyi Shi

Let be a smooth projective complex surface. We obtain explicit formulas for the Chern character operators on the Hilbert schemes of points in terms of Nakajima operat…

cs.CV2026

Propagating Structural Guidance: Synthesizing Fluorescein Angiography from Fundus Images and Sparse OCT Scans

Tengfei Ma, Ruiqi Wu, Chenran Zhang +6

Fundus fluorescein angiography (FFA) is critical for assessing retinal vascular abnormalities, but its acquisition is invasive and not always feasible. In contrast, color fundus ph…

cs.CV2026

MedKCO: Medical Vision-Language Pretraining via Knowledge-Driven Cognitive Orchestration

Chenran Zhang, Ruiqi Wu, Tao Zhou +1

Medical vision-language pretraining (VLP) models have recently been investigated for their generalization to diverse downstream tasks. However, current medical VLP methods typicall…

cs.AI2025★ 1 cited

Bridging the Gap in Ophthalmic AI: MM-Retinal-Reason Dataset and OphthaReason Model toward Dynamic Multimodal Reasoning

Ruiqi Wu, Yuang Yao, Tengfei Ma +11

Multimodal large language models (MLLMs) have recently demonstrated remarkable reasoning abilities under reinforcement learning (RL) paradigm. However, most existing multimodal med…

cs.CV2025★ 2 cited

MM-Retinal V2: Transfer an Elite Knowledge Spark into Fundus Vision-Language Pretraining

Ruiqi Wu, Na Su, Chenran Zhang +10

Vision-language pretraining (VLP) has been investigated to generalize across diverse downstream tasks for fundus image analysis. Although recent methods showcase promising achievem…

cs.CV2024★ 1 cited

MM-Retinal: Knowledge-Enhanced Foundational Pretraining with Fundus Image-Text Expertise

Ruiqi Wu, Chenran Zhang, Jianle Zhang +3

Current fundus image analysis models are predominantly built for specific tasks relying on individual datasets. The learning process is usually based on data-driven paradigm withou…