Jiaqi Lv @ PALM, SEU

 

Jiaqi Lv
Ph.D. Student
PAttern Learning and Mining(PALM) Lab
School of computer science and engineering
Southeast University, Nanjing

Supervisor: Professor Xin Geng
Email: lvjiaqi@seu.edu.cn
PAttern Learning and Mining(PALM) Lab
School of computer science and engineering
Southeast University, Nanjing

   

Biography

2017.03~ Now

Ph.D, School of Computer Science and Engineering , Southeast University, China

2015.09 ~ 2017.01

M.Sc, School of Computer Science and Engineering , Southeast University, China

2011.09 ~ 2015.06

B.Sc, College of Software Engineering , Southeast University, China

Research Interests

  • Machine learning

  • Pattern recognition

  • Weakly supervised learning

Publications

  • Jiaqi Lv, Tianran Wu, Chenglun Peng, Yunpeng Liu, Ning Xu, and Xin Geng. Compact Learning for Multi-Label Classification. Pattern Recognition (PRJ), to appear. (arXiv)

  • Lei Feng, Jiaqi Lv, Bo Han, Miao Xu, Gang Niu, Xin Geng, Bo An and Masashi Sugiyama. Provably consistent partial-label learning. In Advances in Neural Information Processing Systems 33 (NeurIPS 2020), to appear. (arXiv)

  • Jiaqi Lv, Miao Xu, Lei Feng, Gang Niu, Xin Geng, and Masashi Sugiyama. Progressive Identification of True Labels for Partial-Label Learning, In Proceedings of the International Conference on Machine Learning (ICML’20), Online, 2020, in press. (paper)(appendix)(code)

  • Jiaqi Lv, Ning Xu, Renyi Zheng, Xin 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. (paper)

  • Ning Xu, Jiaqi Lv and Xin Geng. Partial Label Learning via Label Enhancement. In Proceedings of the 33rd AAAI Conference on Artificial Intelligence (AAAI’19), Honolulu, HI, 2019, 5557-5564. (paper)

  • Peng Hou, Xin Geng, Zengwei Huo, and Jiaqi Lv. Semi-supervised Adaptive Label Distribution Learning for Facial Age Estimation. In Proceedings of the 31th AAAI Conference on Artificial Intelligence (AAAI’17), San Francisco, CA, 2017, 2015-2021. (paper)

Awards & Honors

  • National Scholarship for Graduate Students, 2020

  • 2nd place award in Apparent Age Estimation, ChaLearn Looking at People and Faces of the World Challenge and Workshop, 2016, CVPR

Academic Service

  • PC Member: NeurIPS’20, ICML’21, IJCAI’21(SPC), JCST, TNNLS

  • Volunteer: The 15th Pacific Rim International Conference on Artificial Intelligence (PRICAI’18), Nanjing, China, 2018.

Correspondence

Laboratory

439, Building of Computer Science and Engineering, Southeast University.