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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[2024.6] 招收2025计算机学院和软件学院保研的研究生2名，欢迎与我联系！
[2024.7] Delighted to organize Special Issue on "Reliable and Interpretable Machine Learning: Theory, Methodologies, Applications, and Beyond" at International Journal of Machine Learning and Cybernetics
[2024.6] Delighted to be the Executive Guest Editor for Special Issue on "When Consumer Electronics Meet Large Models: Opportunities and Challenges" of IEEE TCE
[2024.3] 招收2024计算机学院和软件学院考研的研究生1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;
Zhiqiang Kou, Jing Wang, Yuheng Jia, and Xin Geng. Progressive label enhancement. Pattern Recognition (PR), 2025, in press (CCF B)
Jing Wang, Fu Feng, Jianhui Lv, and Xin Geng. Residual k-Nearest Neighbors Label Distribution Learning. Pattern Recognition (PR), vol. 158, p. 111006, Feb. 2025 (CCF B)
Lingling Zhang, Zhenxiong Zhou, Bo Yi, Jing Wang, Chien-Ming Chen, and Chunyang Shi. Edge-Cloud Framework for Vehicle-Road Cooperative Traffic Signal Control in Augmented Internet of Things. IEEE Internet of Things Journal (IOT-J), 2024, in press.
Zhiyun Zhang, Jing Wang†, and Xin Geng. Label Distribution Learning by Utilizing Common and Label-Specific Feature Fusion Space. International Journal of Machine Learning and Cybernetics, 2024, in press (JCR Q2)
Jing Wang, Zhiqiang Kou, Yuheng Jia, Jianhui Lv, and Xin Geng. Label Distribution Learning by Exploiting Fuzzy Label Correlation. IEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), 2024, in press (CCF B)
Zhiqiang Kou, Jing Wang*, Yuheng Jia, and Xin Geng. Inaccurate Label Distribution Learning. IEEE Transactions on Circuits and Systems for Video Technology (IEEE TCSVT), vol. 34, no. 10, pp. 10237-10249, Oct. 2024 (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), vol. 35, no. 11, pp. 116720-116732, Nov. 2024 (CCF B)
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)
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, 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)
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), vol. 45, no. 8, pp. 9757-9773, Aug. 2023 (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), vol 34, no. 2, pp. 839-852, Feb. 2023 (CCF B)
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), vol. 44, no. 9, pp. 5445-5459, Sep. 2022 (CCF A)
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
Qiufeng Wang, Xu Yang, Fu Feng, Jing Wang, and Xin Geng. Cluster-Learngene: Inheriting Adaptive Clusters for Vision Transformers. In: Proceedings of the 38th Annual Conference on Neural Information Processing Systems (NeurIPS'24). 2024, in press. (CCF A 类会议)
Zhiqiang Kou, Jing Wang*, Jiawei Tang, Yuheng Jia, and Xin Geng. Exploiting multi-Label correlation in label distribution learning. In: Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI'24). 2024, in press. (CCF A 类会议)
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, IEEE TAI, Medical Image Analysis (MIA)