Yankai Jiang

According to our database, Yankai Jiang authored at least 28 papers between 2024 and 2026.

Collaborative distances:

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

2026

VITAL: Visual-Semantic Dual Supervision for Enhanced and Interpretable Latent Reasoning in Medical MLLMs.

Qiaoru Li, Shaotian Liang, Jintao Chen, Haoran Sun, Yuxiang Cai, Jianwei Yin, Yankai Jiang

CoRR, May, 2026

SafeMed-R1: Clinician-Audited Safety and Ethics Alignment for Medical Large Language Models.

Chao Ding, Mouxiao Bian, Tianbin Li, Minjia Yuan, Yidong Jiang, Yankai Jiang, Jinru Ding, Jiayuan Chen, Zhuangzhi Gao, Pengcheng Chen, Zhao He, Rongzhao Zhang, Meiling Liu, Luyi Jiang, Jie Xu

CoRR, May, 2026

MolClaw: An Autonomous Agent with Hierarchical Skills for Drug Molecule Evaluation, Screening, and Optimization.

Lisheng Zhang, Lilong Wang, Xiangyu Sun, Wei Tang, Haoyang Su, Yuehui Qian, Qikui Yang, Qingsong Li, Zhenyu Tang, Haoran Sun, Yingnan Han, Yankai Jiang, Wenjie Lou, Bowen Zhou, Xiaosong Wang, Lei Bai, Zhengwei Xie

CoRR, April, 2026

MedScope: Incentivizing "Think with Videos" for Clinical Reasoning via Coarse-to-Fine Tool Calling.

Wenjie Li, Yujie Zhang, Haoran Sun, Xingqi He, Hongcheng Gao, Chenglong Ma, Ming Hu, Guankun Wang, Shiyi Yao, Renhao Yang, Hongliang Ren, Lei Wang, Junjun He, Yankai Jiang

CoRR, February, 2026

Beyond Static Tools: Test-Time Tool Evolution for Scientific Reasoning.

Jiaxuan Lu, Ziyu Kong, Yemin Wang, Rong Fu, Haiyuan Wan, Cheng Yang, Wenjie Lou, Haoran Sun, Lilong Wang, Yankai Jiang, Xiaosong Wang, Xiao Sun, Dongzhan Zhou

CoRR, January, 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

SCP: Accelerating Discovery with a Global Web of Autonomous Scientific Agents.

Yankai Jiang, Wenjie Lou, Lilong Wang, Zhenyu Tang, Shiyang Feng, Jiaxuan Lu, Haoran Sun, Yaning Pan, Shuang Gu, Haoyang Su, Feng Liu, Wangxu Wei, Pan Tan, Dongzhan Zhou, Fenghua Ling, Cheng Tan, Bo Zhang, Xiaosong Wang, Lei Bai, Bowen Zhou

CoRR, December, 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

Unleashing Scientific Reasoning for Bio-experimental Protocol Generation via Structured Component-based Reward Mechanism.

Haoran Sun, Yankai Jiang, Zhenyu Tang, Yaning Pan, Shuang Gu, Zekai Lin, Lilong Wang, Wenjie Lou, Lei Liu, Lei Bai, Xiaosong Wang

CoRR, October, 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

Chiron-o1: Igniting Multimodal Large Language Models towards Generalizable Medical Reasoning via Mentor-Intern Collaborative Search.

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

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Reasoning-Enhanced Vision-Language Model for Interpretable Diabetic Retinopathy Detection in Ultra-Wide-Field Fundus Images.

Zhenyu Tang, Lingzhi Chen, Lilong Wang, Yankai Jiang, Jun Li, Xiaosong Wang

Proceedings of the Ophthalmic Medical Image Analysis - 12th International Workshop, 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 37: 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