Jin Ye
13 papers · 2020–2026 · 6 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (5) π Conference Polyglot (5) π§ Keyword Pioneer π Interdisciplinary Bridge π Cross-Pollinator (11)
π
Renaissance Researcher
(6)
πΊοΈ
Taxonomy Completionist
(23)
π
Interdisciplinary Bridge
π₯
Mega-Team
(53)
π€
Dynamic Duo
(10)
β
The Questioner
β‘
Prolific Year
(7)
π
Conference Pioneer
π
Century Club
(11)
Conferences
MICCAI (5)
AAAI (2)
CVPR (2)
NIPS (2)
ECCV (1)
ICCV (1)
Top co-authors
Keywords
multimodal learning
(3)
vision-language model
(3)
medical imaging
(3)
visual question answering
(3)
semantic segmentation
(2)
benchmark dataset
(2)
benchmark evaluation
(2)
medical image segmentation
(2)
out-of-distribution generalization
(1)
vision language model
(1)
vision foundation model
(1)
large vision-language model
(1)
whole slide image
(1)
mask generation
(1)
interactive segmentation
(1)
computed tomography
(1)
multimodal evaluation
(1)
clinical decision-making
(1)
computational pathology
(1)
retrieval-augmented learning
(1)
Papers
S2-UniSeg: Fast Universal Agglomerative Pooling for Scalable Segment Anything Without Supervision
AAAI 2026
GMAI-VL & GMAI-VL-5.5M: A Large Vision-Language Model and a Comprehensive Multimodal Dataset Towards General Medical AI
AAAI 2026
SlideChat: A Large Vision-Language Assistant for Whole-Slide Pathology Image Understanding
CVPR 2025
OphCLIP: Hierarchical Retrieval-Augmented Learning for Ophthalmic Surgical Video-Language Pretraining
ICCV 2025
Interactive Medical Image Segmentation: A Benchmark Dataset and Baseline
CVPR 2025
FPN-in-FPN: A Nested Multi-Scale Aggregation Network for Polyp Segmentation
MICCAI 2025
RetinaLogos: Fine-Grained Synthesis of High-Resolution Retinal Images Through Captions
MICCAI 2025
New Multiple Sclerosis Lesion Segmentation via Calibrated Inter-patch Blending
MICCAI 2025
Towards Interpretable Counterfactual Generation via Multimodal Autoregression
MICCAI 2025
SAM-Med3D-MoE: Towards a Non-Forgetting Segment Anything Model via Mixture of Experts for 3D Medical Image Segmentation
MICCAI 2024
GMAI-MMBench: A Comprehensive Multimodal Evaluation Benchmark Towards General Medical AI
NIPS 2024
Touchstone Benchmark: Are We on the Right Way for Evaluating AI Algorithms for Medical Segmentation?
NIPS 2024
Attention-Driven Dynamic Graph Convolutional Network for Multi-Label Image Recognition
ECCV 2020