王靖，东南大学计算机科学与工程学院助理研究员，研究方向包括机器学习、大模型、学习基因等，研究成果发表于国际期刊IEEE TPAMI、IEEE TNNLS、IEEE TCSVT，以及国际会议ICML、AAAI、IJCAI上。获得江苏省优秀博士学位论文奖、吴文俊优秀博士学位论文（提名）奖，主持国家自然科学基金、江苏省自然科学基金以及横向项目多项。
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）：
Zhiqiang Kou, Jing Wang*, Yuheng Jia, and Xin Geng. Inaccurate Label Distribution Learning. IEEE Transactions on Circuits and Systems for Video Technology (IEEE TCSVT), 2024, in press (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)
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)
江苏省优秀博士学位论文奖；
吴文俊优秀博士学位（提名）奖；
江苏省计算机学会优秀博士学位论文奖；
东南大学优秀博士学位论文奖；
入选江苏省卓越博士后计划；
