Hey, I’m Yankai Jiang, a researcher at the AI for Science Center, Shanghai Artificial Intelligence Laboratory.

I obtained my Ph.D. from the College of Computer Science and Technology at Zhejiang University, under the supervision of Prof. Hai Lin. My research interests include multimodal large language models, vision-language pretraining, self-supervised learning, zero-shot learning, open-vocabulary segmentation, and medical image analysis.

News

• [2025.03.08] Two papers have been accepted by CVPR 2025.

• [2025.01.30] One paper has been accepted by ICLR 2025.

• [2024.12.09] One paper has been accepted by AAAI 2024.

• [2024.09.26] One paper has been accepted by NIPS 2024.

• [2024.03.08] One paper has been accepted by CVPR 2024.

• [2023.12.18] One paper has been published by IEEE Transactions on Antennas and Propagation.

• [2023.07.01] One paper has been accepted by ICCV 2023 as an Oral presentation.

• [2022.10.30] One paper has been published by Computer Graphics Forum.

• [2022.06.30] One paper has been accepted by MICCAI 2022 as an Early Accepted paper.

• [2022.04.30] One paper has been accepted by IJCAI 2022.

• [2021.12.30] One paper has been accepted by BIBM 2021.

• [2021.10.01] One paper has been published by Oral Radiology.

• [2021.08.01] One paper has been published by IEEE transactions on medical imaging.

• [2020.11.30] One paper has been published by Journal of Molecular Neuroscience.

• [2020.05.28] One paper has been published by Frontiers in oncology.

Selected Publications

• [CVPR] [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, CVPR 2025.

• [ICLR] 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, ICLR 2025.

• [CVPR] ZePT: Zero-Shot Pan-Tumor Segmentation via Query-Disentangling and Self-Prompting, Yankai Jiang, Zhongzhen Huang, Rongzhao Zhang, Xiaofan Zhang, Shaoting Zhang, CVPR 2024.

• [ICCV] Anatomical Invariance Modeling and Semantic Alignment for Self-supervised Learning in 3D Medical Image Analysis, Yankai Jiang, Mingze Sun, Heng Guo, Xiaoyu Bai, Ke Yan, Le Lu, Minfeng Xu, ICCV 2023, Oral Presentation.

• [IJCAI] SatFormer: Saliency-Guided Abnormality-Aware Transformer for Retinal Disease Classification in Fundus Image, Yankai Jiang, Ke Xu, Xinyue Wang, Yuan Li, Hongguang Cui, Yubo Tao, Hai Lin, IJCAI 2022.

• [MICCAI] CephalFormer: incorporating global structure constraint into visual features for general cephalometric landmark detection, Yankai Jiang, Yiming Li, Xinyue Wang, Yubo Tao, Jun Lin, Hai Lin, MICCAL 2022, Early Accepted Paper.

• [TMI] Ala-net: Adaptive lesion-aware attention network for 3d colorectal tumor segmentation, Yankai Jiang, Shufeng Xu, Hongjie Fan, Jiahong Qian, Weizhi Luo, Shihui Zhen, Yubo Tao, Jihong Sun, Hai Lin, IEEE transactions on medical imaging.

Awards

• [2024.04], CVPR 2024 Outstanding Reviewer (Top 1%)
• [2022.11], Honorable Mention Award in MICCAI 2022 FLARE Challenge (Top 2%)
• [2022.10], Huawei Fundamental Research Scholarship (Top 3%)
• [2021.10], Outstanding Doctoral Student Scholarship (Top 3%)
• [2020.10], Outstanding Doctoral Student Scholarship (Top 3%)
• [2018.10], Doctoral Freshman Scholarship (Top 3%)
• [2017.12], First Prize in the Mathematical Contest in Modeling (MCM), USA (Top 1%)
• [2017.10], National Scholarship (Undergraduate) (Top 1%)
• [2016.10], National Scholarship (Undergraduate) (Top 1%)
• [2015.10], National Scholarship (Undergraduate) (Top 1%)

Professional Services

• Reviewer for Conferences: NeurIPS, ICLR, ICML, AAAI, IJCAI, ACM MM, CVPR, ICCV, ECCV.
• Reviewer for Journals: TPAMI, TCSVT, TMI, MIA, JBHI.