• 2015年 - 2021年，东南大学，计算机科学与工程学院，博士研究生，导师 耿新 教授；

• 2013年 - 2015年，东北大学，信息学院，硕士研究生，导师 王兴伟 教授；

• 2009年 - 2013年，苏州科学大学，电子学院，本科生；
  

• 2022年 - 至今，东南大学，计算机科学与工程学院，助理研究员
  

期刊论文（*表示共同一作）：

• 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)

• 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)

• 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)

• 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)

• 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

会议论文：

• 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)

1. 江苏省优秀博士学位论文奖；

2. 吴文俊优秀博士学位（提名）奖；

3. 江苏省计算机学会优秀博士学位论文奖；

4. 东南大学优秀博士学位论文奖；

5. 入选江苏省卓越博士后计划；