Jing Wang, 王靖
Ph.D.
Email: wangjing91 AT seu.edu.cn
Room 506, Computer Science Building, Jiulonghu Campus
PAttern Learning and Mining(PALM) Lab
School of computer science and engineering
Southeast University, Nanjing
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[2024.3] 招收2024计算机学院和软件学院考研的研究生2名，欢迎与我联系！
I am an assistant researcher (至善博后) at the PALM Group, School of Computer Science and Engineering, Southeast University
Ph.D. degree (supervised by Prof. Xin Geng), Southeast University
M.Sc. degree (supervised by Prof. Xingwei Wang), Northeast University
B.Sc. degree, Suzhou University of Science and Technology
Machine learning;
Label distribution learning;
Multi-label learning;
Jing Wang and Xin Geng. Explaining the Better Generalization of Label Distribution Learning for Classification. SCIENCE CHINA Information Sciences (SCIS), 2024, in press (CCF A)
Jing Wang, Jianhui Lv, and Xin Geng. Label Distribution Learning by Partitioning Label Distribution Manifold. IEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), 2023, in press (CCF B)
Jing Wang and Xin Geng. Large Margin Weighted k-Nearest Neighbors Label Distribution Learning for Classification. IEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), 2023, in press (CCF B)
Zhiqiang Kou, Jing Wang, Yuheng Jia, Biao Liu, and Xin Geng. Instance-Dependent Inaccurate Label Distribution Learning. IEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), 2023, in press (CCF B)
Yuexuan An, Hui Xue, Xingyu Zhao, and Jing Wang. From instance to metric calibration: A unified framework for open-world few-shot learning. IEEE Transactions on Pattern Analysis and Machine Intelligence (IEEE TPMAI), 2023, inpress (CCF A)
Adam AQ Mohammed, Xin Geng, Jing Wang, and Zafar Ali. Driver distraction detection using semi-supervised lightweight vision transformer. Engineering Applications of Artificial Intelligence (EAAI), vol. 129, 107618, Mar. 2024
Jing Wang, Xin Geng, and Hui Xue. Re-weighting large margin label distribution learning for classification. IEEE Transactions on Pattern Analysis and Machine Intelligence (IEEE TPAMI), 44(9): 5445-5459, Sep. 2022 (CCF A)
Jing Wang and Xin Geng. Label distribution learning by exploiting label distribution manifold. IEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), 34(2): 839-852, Feb. 2023 (CCF B)
王靖, 耿新. 标记分布学习. 中国人工智能学会通讯, 6(9): 21-25, 2016
Xingyu Zhao, Yuexuan An, Ning Xu, Jing Wang, and Xin Geng. Imbalanced label distribution learning. In: Proceedings of the AAAI Conference on Artificial Intelligence (AAAI'23). 2023, pp. 11336-11344(CCF A 类会议)
Jing Wang and Xin Geng. Label distribution learning machine. In: Proceedings of the International Conference on Machine Learning (ICML’21). 2021. 10749-10759. (CCF A 类会议)
Jing Wang and Xin Geng. Learn the highest label and rest label description degrees. In: Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI’21). 2021. 3097-3103. (CCF A 类会议)
Jing Wang and Xin Geng. Classification with label distribution learning. In: Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI’19). 2019. 3712-3718. (CCF A 类会议)
Jing Wang and Xin Geng. Theoretical analysis of label distribution learning. In: Proceedings of the AAAI Conference on Artificial Intelligence (AAAI’19). 2019. 5256-5263. (CCF A 类会议)
吴文俊优秀博士学位论文提名奖
江苏省2023年优秀博士学位论文奖
东南大学2023年优秀博士学位论文奖
PC Member: AAAI-23, UAI-24, ECML-24
Reviewer: IEEE TNNLS, IEEE TMM, Medical Image Analysis (MIA)