Han-Jia Ye is an Associate Researcher in the School of Artificial Intelligence at the Nanjing University (NJU). His major research focuses on machine learning and its applications to data mining and computer vision.
Han-Jia received his B.Sc. degree from Nanjing University of Posts and Telecommunications, China in June 2013. After that, he became an M.Sc. student in the LAMDA Group led by professor Zhi-Hua Zhou in Nanjing University. From Sept. 2015, Han-Jia started his Ph.D. degree in machine learning under the supervision of Prof. Yuan Jiang and Prof. De-Chuan Zhan. During 2017-2018, he visited Prof. Fei Sha's group in University of Southern California, LA. He received his PhD degree at May 2019.
08/2022: Very honored to serve as the Tutorial Co-Chairs of SDM 2023. Call for Submissions.
04/2022: 1 papers on unsupervised meta-learning has been accepted by TPAMI.
03/2022: 2 papers on meta-learning and heterogeneous model reuse have been accepted by TPAMI.
02/2022: Very honored to receive CCF Outstanding Doctoral Dissertation Award 2021.
01/2022: 1 paper on model-agnostic meta-learning has been accepted by ICLR 2022.
06/2021: 1 arXiv paper on contextualizing meta-learning.