Yankai Jiang
13 papers · 2022–2026 · 9 venues · across top CS/AI venues
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Achievements
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π Interdisciplinary Bridge Β· Gold πΊοΈ Taxonomy Completionist (31) π Conference Polyglot Β· Silver π Grand Slam π Keyword Champion (2)
ποΈ
Keyword Collector
(77)
π₯
Unstoppable Β· Bronze
β‘
Prolific Year Β· Productive
π
Renaissance Researcher
(5)
π
Century Club Β· Bronze
Top co-authors
Research topics
Keywords
medical imaging
(4)
zero-shot learning
(3)
foundation model
(2)
retinal disease
(2)
lesion segmentation
(2)
saliency detection
(2)
large language model
(2)
tumor segmentation
(2)
fundus image
(2)
semantic segmentation
(2)
medical image
(2)
prompt-based learning
(1)
vision transformer
(1)
code generation
(1)
multimodal learning
(1)
autoregressive generation
(1)
image segmentation
(1)
reinforcement learning
(1)
prompt learning
(1)
self-supervised learning
(1)
Papers
IBISAgent: Reinforcing Pixel-Level Visual Reasoning in MLLMs for Universal Biomedical Object Referring and Segmentation
CVPR 2026
Advancing Generalizable Tumor Segmentation with Anomaly-Aware Open-Vocabulary Attention Maps and Frozen Foundation Diffusion Models
CVPR 2025
Flow2Code: Evaluating Large Language Models for Flowchart-based Code Generation Capability
ACL 2025
Kernel-based Unsupervised Embedding Alignment for Enhanced Visual Representation in Vision-language Models
ICML 2025
Semantic versus Identity: A Divide-and-Conquer Approach towards Adjustable Medical Image De-Identification
ICCV 2025
SIGraph: Saliency Image-Graph Network for Retinal Disease Classification in Fundus Image
AAAI 2025
Towards All-in-One Medical Image Re-Identification
CVPR 2025
Unleashing the Potential of Vision-Language Pre-Training for 3D Zero-Shot Lesion Segmentation via Mask-Attribute Alignment
ICLR 2025
CAT: Coordinating Anatomical-Textual Prompts for Multi-Organ and Tumor Segmentation
NeurIPS 2024
Sprout: Green Generative AI with Carbon-Efficient LLM Inference
EMNLP 2024
ZePT: Zero-Shot Pan-Tumor Segmentation via Query-Disentangling and Self-Prompting
CVPR 2024
Anatomical Invariance Modeling and Semantic Alignment for Self-supervised Learning in 3D Medical Image Analysis
ICCV 2023
SatFormer: Saliency-Guided Abnormality-Aware Transformer for Retinal Disease Classification in Fundus Image
IJCAI 2022