李哲，男，2025年6月博士毕业于中国科学技术大学，师从张勇东教授（国家杰青、IEEE Fellow）和毛震东教授。2025年12月加入由国家杰青唐金辉教授领导的多模态智能体实验室（Multimodal Intelligent Agent Group, MIAG），任南京林业大学信息科学技术学院、人工智能学院校聘副教授，F类人才引进。

研究领域为多模态人工智能与计算机视觉，主要研究多模态大模型与跨模态理解、生成及检索等方向。个人学术主页：https://zheli25.github.io/

目前已在CCF A类会议及IEEE Transactions系列期刊发表多篇学术论文；曾作为核心骨干成员参与国家重点研发计划项目课题、国家自然科学基金重点及面上项目；曾在中国科学院自动化研究所田捷教授团队实习。多次受邀担任CVPR、ICCV、NeurIPS、IJCAI、AAAI及IEEE TIP、IEEE TCSVT等国际顶级会议/期刊审稿人。

欢迎对相关研究方向感兴趣的同学（有意报考本课题组硕士、博士或申请本科实习）发送简历至 （zheli@njfu.edu.cn），交流科研方向与合作机会。 

1. Zhe Li, Lei Zhang, Zheren Fu, Kun Zhang, Zhendong Mao. Hierarchy-Aware Pseudo Word Learning with Text Adaptation for Zero-Shot Composed Image Retrieval. IEEE International Conference on Computer Vision, 2025. (ICCV2025, CCF-A类会议).

2. Zhe Li, Lei Zhang, Kun Zhang, Weidong Chen, Yongdong Zhang, Zhendong Mao. Rethinking Pseudo Word Learning in Zero-Shot Composed Image Retrieval: From an Object-Aware Perspective. ACM SIGIR Conference on Research and Development in Information Retrieval, 2025. (SIGIR2025, CCF-A类会议).

3. Zhe Li, Lei Zhang, Kun Zhang, Yongdong Zhang, Zhendong Mao. Improving Image-Text Matching with Bidirectional Consistency of Cross-Modal Alignment. IEEE Transactions on Circuits and Systems for Video Technology. (TCSVT，中科院一区Top期刊).

4. Zhe Li, Lei Zhang, Kun Zhang, Yongdong Zhang, Zhendong Mao. Fast, Accurate, and Lightweight Memory-Enhanced Embedding Learning Framework for Image-Text Retrieval. IEEE Transactions on Circuits and Systems for Video Technology. (TCSVT，中科院一区Top期刊).

5. Mingsheng Zhu, Jie Zhuang, Zhe Li, Qiqi Liu, et al. Machine-learning-assisted single-vessel analysis of nanoparticle permeability in tumour vasculatures. Nature Nanotechnology. (Nature子刊，中科院一区Top期刊).

6. Zhe Li, Suo Wang, He Yu, et al. A Novel Deep Learning Framework Based on Mask-Guided Attention Mechanism for Distant Metastasis Prediction of Lung Cancer. IEEE Transactions on Emerging Topics in Computational Intelligence. (TETCI, 中科院二区).

7. Kun Zhang, Jingyu Li, Zhe Li, S. Kevin Zhou. DH-Set: Improving Vision-Language Alignment with Diverse and Hybrid Set-Embeddings Learning. IEEE Conference on Computer Vision and Pattern Recognition, 2025. (CVPR2025, CCF-A类会议).

8. Kun Zhang, Bo Hu, Huatian Zhang, Zhe Li, Zhendong Mao. Enhanced Semantic Similarity Learning Framework for Image-Text Matching. IEEE Transactions on Circuits and Systems for Video Technology. (TCSVT，中科院一区Top期刊). 

1. 国家自然科学基金重点项目，伪造多媒体信息的鉴别与溯源，284万元，参与