School of Computer Science and Engineering, College of Software Engineering, Southeast University

Pattern Learning and Mining (PALM) Lab

Correspondence

Mail: School of Computer Science and Engineering, Jiulonghu Campus, Southeast University, Nanjing 211189, China

office: 506, Computer Science Building, Jiulonghu Campus, Southeast University

Email: xning AT seu.edu.cn

Biogeraphy

Currently, I am an assistant professor at the PALM Group, School of Computer Science and Engineering, Southeast University.

I received my B.Sc. degree from University of Science and Technology of China, M.Sc. degree from University of Chinese Academy of Sciences, and Ph.D. degree (supervisor Prof. Xin Geng) from Southeast University.

Research Interests

My research interests include machine learning and pattern recognition.

Selected Publications

• Y. Gao, N. Xu, and X. Geng, Video Summarization via Label Distributions Dual-Reward, In: Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI'21), Montreal, Canada, 2021, in press.
• N. Xu, Y.-P. Liu, and X. Geng. Label Enhancement for Label Distribution Learning. IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE), 2021, 33(4): 1632-1643.
• J. Lv, T. Wu, C. Peng, Y. Liu, N. Xu, and X. Geng. Compact Learning for Multi-Label Classification. Pattern Recognition (PRJ), 2021, 113: 107833.
• N. Xu, J. Shu, Y.-P. Liu, X. Geng, Variational Label Enhancement, In: Proceedings of the International Conference on Machine Learning (ICML'20), Vienna, Austria, 2020, 10597-10606.
• Y.-P. Liu, N. Xu, Y. Zhang, X. Geng, Label Distribution for Learning with Noisy Labels, In: Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI'20), Yokohama, Japan, 2020, 2568-2574.
• N. Xu, Y.-P. Liu, X. Geng. Partial Multi-Label Learning with Label Distribution. In: Proceedings of the 34th AAAI Conference on Artificial Intelligence (AAAI'20), New York, NY, 2020, 6510-6517.
• J. Lv, N. Xu, R. Zheng, X. Geng. Weakly Supervised Multi-Label Learning via label Enhancement. In: Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI'19), Macao, China, 2019, 3101-3107.
• N. Xu, J. Lv and X. Geng, Partial Label Learning via Label Enhancement. In: Proceedings of the 33rd AAAI Conference on Artificial Intelligence (AAAI'19), Honolulu, HI, 2019, 5557-5564.
• N. Xu, A. Tao and X. Geng. Label Enhancement for Label Distribution Learning. In: Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI'18), Stockholm, Sweden, 2018, 2926-2932.
• R. Shao, N. Xu, X. Geng. Multi-label Learning with Label Enhancement. In: Proceedings of the 18th IEEE International Conference on Data Mining (ICDM'18), Singapore, 2018, 437-446.
• 耿新, 徐宁, 标记分布学习与标记增强, 中国科学: 信息科学, 2018, 48(5): 521-530.

Activities

• Senior Program Committee: IJCAI 2021.
• Program Committee: ACM MM 2018, AAAI 2019, AAAI 2021, SDM 2021, ECML 2021, NeurIPS 2021.
• Deutscher Akademischer Austauschdienst (德国学术交流中心) AInet Fellow, 2020 (共21人获评).

Students

• 2018: Yun-Peng Liu 刘云鹏 (协助耿新老师指导，CCF-A类论文4篇).
• 2018: Renyi Zheng 郑任毅 (协助耿新老师指导，CCF-A类论文2篇).
• 2020: Cong-Yu Qiao 乔聪玉 (协助耿新老师指导，参与机器学习重要项目).