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Multi-modal Learning Team

NANJING NORMAL UNIVERSITY, CHINA

Mingli Building, Room 301

yangwq@njnu.edu.cn

We are Multi-modal Learning Team from the School of Computer and Electronic Information at Nanjing Normal University. Our main research areas include multimodal meta-learning, cross-domain transfer learning, incomplete multi-view learning, and intelligent educational data analysis. We welcome interested students to contact us.

Mentor Photo

Wanqi Yang

Associate Professor / Associate Dean for Research

Faculty member at the School of Computer and Electronic Information / School of Artificial Intelligence, Nanjing Normal University; Associate Dean for Research and Director of the Youth Faculty Committee. Ph.D. in Computer Science from Nanjing University. Research interests include multimodal learning, domain adaptation, and intelligent educational applications. Principal investigator of three projects funded by the National Natural Science Foundation of China (two General Programs and one Young Scientist Program) and two projects funded by the Jiangsu Provincial Natural Science Foundation (including one Excellent Young Scientist Program and one General Program). Published over 40 papers in leading international journals and conferences. Selected as an Excellent Young Backbone Teacher of the Jiangsu “Qinglan Project” in 2022, core team member of the national first-class undergraduate course Data Structures in 2022, recipient of the Jiangsu Science and Technology Award (Second Prize) in 2018, and recognized as an Advanced Individual for Women’s Achievement at Nanjing Normal University in 2023–2024.

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Alumni

Haoran Wang (王浩然) (2022-2025.)

Yazhou Liu (刘亚洲) (2021-2024.)

Wenxiang Lu (陆文祥) (2021-2024.)

Chen Wu (吴晨) (2020-2023.)

Shichen Zong (踪士宸) (2019-2021.)

Tong Ling (凌彤) (2017-2020.)

Ying Chen (陈颖) (2022-2025.)

Jinyu Wei (韦锦宇) (2022-2025.)

Yumeng Tang (唐宇萌) (2021-2024.)

Lei Yu (于磊) (2020-2023.)

Shengqi Huang (黄胜琦) (2019-2022.)

Kehui Chen (陈科辉) (2018-2021.)