Brain-inspired artificial intelligence: I am particularly focused on few-shot concept learning, continual learning, and brain-inspired cognitive computation models, aiming to advance human-level cognitive intelligence.
Collaborative software-hardware optimization: My attention is directed towards brain-inspired neural networks, model compression, machine learning compilation, and their practical applications in robotics.
Foundation models: In addition, I also have a broad interest in multimodal foundation models, as well as the deployment and acceleration of large-scale models on edge devices.
LibFewShot: A Comprehensive Library for Few-shot Learning Wenbin Li, Ziyi Wang, Xuesong Yang, Chuanqi Dong, Pinzhuo Tian, Tiexin Qin, Jing Huo, Yinghuan Shi, Lei Wang, Yang Gao and Jiebo Luo. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023. (IF = 20.4)
Defensive Few-shot Learning Wenbin Li, Lei Wang, Xingxing Zhang, Lei Qi, Jing Huo, Yang Gao, Jiebo Luo. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023. (IF = 20.4)
A Multilayer Framework for Online Metric Learning Wenbin Li, Yanfang Liu, Jing Huo, Yinghuan Shi, Yang Gao, Lei Wang, Jiebo Luo. IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2023. (IF = 10.4)
LibContinual is a comprehensive library for continual learning, especially for continual image classification. It integrates multiple classic continual methods into a unified framework. This library is friendly for beginners in continual learning with very concise code and clear structure.
LibFewShot is a comprehensive library for few-shot learning, especially for few-shot image classification. It integrates multiple classic FSL methods into a unified framework, including four fine-tuning based methods, six meta-learning based methods, and eight metric-learning based methods.
WebCaricature dataset is developed for caricature recognition.
It is a large photograph-caricature dataset consisting of 6042 caricatures and 5974 photographs from 252 persons collected from the web.
Student Mentoring & Supervision
(† indicates co-supervision with Prof. Yang Gao)
Name
Department
Starting
Graduated
Program
Job/Publications
Dongdong Ren†
ESE
2021.9
in progress
Ph.D.
[TPAMI 2025][TIP 2025]
Yuhang Zhu†
ESE
2023.9
in progress
Ph.D.
-
Zhiping Wu†
ESE
2024.9
in progress
Ph.D.
-
Yunchen Wu†
CS
2024.9
in progress
Ph.D.
[PRCV 2024]
Wenxiao Deng
CS
2022.9
in progress
M.S.
[CVPR 2024]
Yiyang Chen
CS
2023.9
in progress
M.S.
[CVPR 2025]
Wei Lai
CS
2023.9
in progress
M.S.
-
Bing Li
CS
2023.9
in progress
M.S.
[ACM MMW 2024]
Shangge Liu
CS
2024.9
in progress
M.S.
-
Mengying Sun
CS
2021.9
2024.6
M.S.
美团
Yakun Xiong
CS
2021.9
2024.6
M.S.
地平线
Zhichen Fan
CS
2021.9
2024.6
M.S.
中国电信
Ziyi Wang
CS
2020.9
2023.6
M.S.
壁仞科技
Xuesong Yang
CS
2020.9
2023.6
M.S.
壁仞科技
Boyao Shi
CS
2020.9
2023.6
M.S.
农业银行
Jiayan Chen
CS
2020.9
2023.6
M.S.
华为
Teaching
Spring 2025: Introduction to Machine Learning, School of Intelligence Science and Technology
Spring 2024: Introduction to Machine Learning, School of Intelligence Science and Technology
Fall 2024: Advances in Machine Learning, School of Computer Science
Fall 2023: Advances in Machine Learning, School of Computer Science
Fall 2024: Machine Learning, Software Institute
Fall 2023: Machine Learning, Software Institute
Spring 2023: Machine Learning, Software Institute
Spring 2022: Machine Learning, Software Institute
Spring 2021: Machine Learning, Software Institute
Spring 2020: Machine Learning, Software Institute
Awards
2023 中国科协青年人才托举
2023 江苏省计算机学会青年科技奖
2021 江苏省双创博士
2021 南京大学紫金学者
2020 江苏省计算机学会优博
2020 中国研究生人工智能创新大赛优秀指导教师
Services
Area Chair for WACV 2023, 2024, 2025
Publication Chair for ACCV 2022
Reviewer for ICML 2021, 2022, 2023, 2024
Reviewer for NeurIPS 2020, 2021, 2022, 2023, 2024
Reviewer for ICLR 2022, 2023, 2024
Reviewer for CVPR 2020, 2021, 2022, 2023, 2024
Reviewer for ICCV 2021, 2023
Reviewer for ECCV 2020, 2022, 2024
Reviewer for AAAI 2021, 2022, 2023, 2024
Reviewer for IJCAI 2023, 2024