Yankai Jiang

According to our database, Yankai Jiang authored at least 19 papers between 2024 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

IBISAgent: Reinforcing Pixel-Level Visual Reasoning in MLLMs for Universal Biomedical Object Referring and Segmentation.

Yankai Jiang, Qiaoru Li, Binlu Xu, Haoran Sun, Chao Ding, Junting Dong, Yuxiang Cai, Xuhong Zhang, Jianwei Yin

CoRR, January, 2026

2025

Incentivizing Tool-augmented Thinking with Images for Medical Image Analysis.

Yankai Jiang, Yujie Zhang, Peng Zhang, Yichen Li, Jintai Chen, Xiaoming Shi, Shihui Zhen

CoRR, December, 2025

Think Twice to See More: Iterative Visual Reasoning in Medical VLMs.

Kaitao Chen, Shaohao Rui, Yankai Jiang, Jiamin Wu, Qihao Zheng, Chunfeng Song, Xiaosong Wang, Mu Zhou, Mianxin Liu

CoRR, October, 2025

RareAgent: Self-Evolving Reasoning for Drug Repurposing in Rare Diseases.

Lang Qin, Zijian Gan, Xu Cao, Pengcheng Jiang, Yankai Jiang, Jiawei Han, Kaishun Wu, Jintai Chen

CoRR, October, 2025

Mediator-Guided Multi-Agent Collaboration among Open-Source Models for Medical Decision-Making.

Kaitao Chen, Mianxin Liu, Daoming Zong, Chaoyue Ding, Shaohao Rui, Yankai Jiang, Mu Zhou, Xiaosong Wang

CoRR, August, 2025

Enhancing Step-by-Step and Verifiable Medical Reasoning in MLLMs.

Haoran Sun, Yankai Jiang, Wenjie Lou, Yujie Zhang, Wenjie Li, Lilong Wang, Mianxin Liu, Lei Liu, Xiaosong Wang

CoRR, June, 2025

TK-Mamba: Marrying KAN with Mamba for Text-Driven 3D Medical Image Segmentation.

Haoyu Yang, Yuxiang Cai, Jintao Chen, Xuhong Zhang, Wenhui Lei, Xiaoming Shi, Jianwei Yin, Yankai Jiang

CoRR, May, 2025

A Data-Efficient Pan-Tumor Foundation Model for Oncology CT Interpretation.

Wenhui Lei, Hanyu Chen, Zitian Zhang, Luyang Luo, Qiong Xiao, Yannian Gu, Peng Gao, Yankai Jiang, Ci Wang, Guangtao Wu, Tongjia Xu, Yingjie Zhang, Xiaofan Zhang, Pranav Rajpurkar, Shaoting Zhang, Zhenning Wang

CoRR, February, 2025

From Screens to Scenes: A Survey of Embodied AI in Healthcare.

Yihao Liu, Xu Cao, Tingting Chen, Yankai Jiang, Junjie You, Minghua Wu, Xiaosong Wang, Mengling Feng, Yaochu Jin, Jintai Chen

CoRR, January, 2025

ROFI: a deep learning-based ophthalmic sign-preserving and reversible patient face anonymizer.

Yuan Tian, Min Zhou, Yitong Chen, Fang Li, Lingzi Qi, Shuo Wang, Xieyang Xu, Yu Yu, Shiqiong Xu, Chaoyu Lei, Yankai Jiang, Rongzhao Zhang, Jia Tan, Li Wu, Hong Chen, Xiaowei Liu, Wei Lu, Lin Li, Huifang Zhou, Xuefei Song, Guangtao Zhai, Xianqun Fan

npj Digit. Medicine, 2025

From screens to scenes: A survey of embodied AI in healthcare.

Yihao Liu, Xu Cao, Wei-Ting Chen, Yankai Jiang, Junjie You, Minghua Wu, Xiaosong Wang, Mengling Feng, Yaochu Jin, Jintai Chen

Inf. Fusion, 2025

Kernel-based Unsupervised Embedding Alignment for Enhanced Visual Representation in Vision-language Models.

Shizhan Gong, Yankai Jiang, Qi Dou, Farzan Farnia

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Unleashing the Potential of Vision-Language Pre-Training for 3D Zero-Shot Lesion Segmentation via Mask-Attribute Alignment.

Yankai Jiang, Wenhui Lei, Xiaofan Zhang, Shaoting Zhang

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Semantics Versus Identity: A Divide-and-Conquer Approach Towards Adjustable Medical Image De-Identification.

Yuan Tian, Shuo Wang, Rongzhao Zhang, Zijian Chen, Yankai Jiang, Chunyi Li, Xiangyang Zhu, Fang Yan, Qiang Hu, Xiaosong Wang, Guangtao Zhai

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

Towards All-in-One Medical Image Re-Identification.

Yuan Tian, Kaiyuan Ji, Rongzhao Zhang, Yankai Jiang, Chunyi Li, Xiaosong Wang, Guangtao Zhai

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

Advancing Generalizable Tumor Segmentation with Anomaly-Aware Open-Vocabulary Attention Maps and Frozen Foundation Diffusion Models.

Yankai Jiang, Peng Zhang, Donglin Yang, Yuan Tian, Hai Lin, Xiaosong Wang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

Flow2Code: Evaluating Large Language Models for Flowchart-based Code Generation Capability.

Mengliang He, Jiayi Zeng, Yankai Jiang, Wei Zhang, Zeming Liu, Xiaoming Shi, Aimin Zhou

Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024

CAT: Coordinating Anatomical-Textual Prompts for Multi-Organ and Tumor Segmentation.

Zhongzhen Huang, Yankai Jiang, Rongzhao Zhang, Shaoting Zhang, Xiaofan Zhang

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

ZePT: Zero-Shot Pan-Tumor Segmentation via Query-Disentangling and Self-Prompting.

Yankai Jiang, Zhongzhen Huang, Rongzhao Zhang, Xiaofan Zhang, Shaoting Zhang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024