Cong LeiPh.D. Student
Sydney AI Centre
Address: J12/ 1 Cleveland St, Darlington, NSW 2008, Australia |
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I am a third-year Ph.D. student at the School of Computer Science, The University of Sydney (USYD). I received the master's degree from School of Computer Science and Information Engineering, Guangxi Normal University (GNU) in 2018. My research mainly focuses on Machine Learning, Quantum Machine Learning as well as Causal Inference.
Ph.D. student, 2021.10 - 2025.04 (expected) The University of Sydney, Australia, advised by Prof. Tongliang Liu
M.Eng., 2015.09 - 2018.06 Guangxi Normal University, Guilin, China, advised by Prof. Shichao Zhang
B.Eng., 2009.09 - 2013.06 Wuchang Institute of Technology, Wuhan, China
Neural Auto-designer for Enhanced Quantum Kernels
C. Lei, Y. Du, , P. Mi, J. Yu, T. Liu* (* Corresponding Author)
ICLR 2024
Adaptive reverse graph learning for robust subspace learning
C. Yuan, Z. Zhong, C. Lei, X. Zhu, R. Hu
Information Processing & Management, 58(6): 102733, 2021.
One-step Multi-view Spectral Clustering
X. Zhu, S. Zhang, R. Hu, W. He, C. Lei, P. Zhu
IEEE T-KDE, 31(10): 2022-2034, 2019.
Low-rank hypergraph feature selection for multi-output regression
X. Zhu, R. Hu, C. Lei, KH. Thung, W. Zheng, C. Wang
World Wide Web, 22(2): 517-531, 2019
Robust Graph Dimensionality Reduction
X. Zhu, C. Lei, H. Yu, Y. Li, J. Gan, S. Zhang
IJCAI 2018
Unsupervised Feature Selection via Local Structure Learning and Sparse Learning
C. Lei, X. Zhu
MTAP, 77(22): 29605-29622, 2018
Unsupervised feature selection by combining subspace learning with feature self-representation
Y. Li, C. Lei*, Y. Fang, R. Hu, Y. Li, S. Zhang* (* Corresponding Author)
PRL, 109: 35-43, 2018
CSC Scholarship, 2019.
National Scholarship, 2017.
Journal Reviewer: TNNLS, KBS, IPM, MTAP, etc.
© Cong Lei | Last update: Nov. 2022 |