Scholar
Shichao Kan
Google Scholar ID: iFp1FOMAAAAJ
Central South University
Citations & Impact
Citations
598
H-index
14
i10-index
20
Publications
20
Co-authors
0
Contact
No contact links provided.
Publications
Resume (English only)
Academic Achievements
- Publications: Published over 50 papers in top-tier international journals like IEEE TPAMI (2023 Impact Factor > 20) and IEEE TIP (Impact Factor > 10), as well as in mainstream journals like IEEE TMM, IEEE TNNLS, IEEE TCSVT; Awards: 2022 Beijing Image and Graphics Society Outstanding Doctoral Dissertation Award, First Prize in the 2015 OpenHW Open Source Hardware and Embedded Computing Competition.
Research Experience
- Work Experience: Currently an Associate Professor and Master's Supervisor at the School of Computer Science, Central South University; Research Projects: Hosted/Co-hosted 4 projects including National Natural Science Foundation of China for Young Scientists and Hunan Provincial Natural Science Foundation for Young Scientists; Positions: Reviewer for journals such as IEEE TIP, IEEE TVCG, IEEE TMM, IEEE TNNLS, IEEE TCSVT; Program Committee Member/Reviewer for conferences such as NeurIPS, CVPR, ICCV, ICML, ICLR, ACMMM, AAAI, IJCAI, and BIBM Session Chair.
Education
- Degree: Doctor of Engineering; Graduated from: Beijing Jiaotong University; Major: Computer Science and Technology; Time: June 2021
Background
- Research Interests: Multimodal Large Models, Cross-Modal Object Retrieval, Open Vocabulary Object Retrieval, Multimodal Geographic Information Analysis, Multimodal Visual Object and Behavior Analysis, Multimodal Biomedical Image Analysis, Multimodal Incremental Learning, Multimodal Industrial Image Defect Analysis. Brief Introduction: Graduated from the Institute of Information Science at Beijing Jiaotong University in June 2021, visited the University of Missouri-Columbia from September 2019 to October 2020, and joined Central South University in September 2021.
Miscellany
- Personal Interests: Welcomes students with a solid programming foundation and interest in multimodal, large models, and interdisciplinary research in artificial intelligence to join the research group.
Co-authors