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（优青）。2025年12月加入唐金辉教授领导的多媒体感知与计算机视觉团队，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，主要包括多模态检索、多模态大模型及视觉感知基础模型，聚焦于跨模态数据理解与通用感知能力的研究。个人学术主页：https://zheli25.github.io/

目前已在CCF A类会议和IEEE Trans.国际顶级期刊发表了多篇学术论文；曾作为核心骨干成员参与国自然创新研究群体项目、国家重点研发计划项目课题、国自然重点项目及国自然面上项目；曾实习于中科院自动化所田捷教授团队（杰青、IEEE Fellow），获阿里、字节、华为等多个SSP Offer。多次受邀担任CVPR, ICCV, NIPS, IJCAI, AAAI, TIP, TCSVT等国际顶级会议/期刊审稿人。

欢迎感兴趣的保研/考研同学，发送简历到邮箱 (zheli@njfu.edu.cn) 提前与我联系交流！

本人将提供充分的科研指导、友好的科研氛围，欢迎有自驱力的同学们的加入！

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. 国家自然科学基金创新研究群体项目，多媒体内容安全，1000万元，参与

2. 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