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Cong Li
Cong Li
在 eecs.ucf.edu 的电子邮件经过验证 - 首页
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Neural input search for large scale recommendation models
MR Joglekar, C Li, M Chen, T Xu, X Wang, JK Adams, P Khaitan, J Liu, ...
Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020
1032020
Learning in the feed-forward random neural network: A critical review
M Georgiopoulos, C Li, T Kocak
Performance Evaluation 68 (4), 361-384, 2011
512011
Pareto-Path Multi-Task Multiple Kernel Learning
C Li, M Georgiopoulos, GC Anagnostopoulos
IEEE Transactions on Neural Networks and Learning Systems 26 (1), 51-61, 2014
262014
Reduced-rank local distance metric learning
Y Huang, C Li, M Georgiopoulos, GC Anagnostopoulos
Machine Learning and Knowledge Discovery in Databases: European Conference …, 2013
262013
A Unifying Framework for Typical Multitask Multiple Kernel Learning Problems
C Li, M Georgiopoulos, GC Anagnostopoulos
IEEE Transactions on Neural Networks and Learning Systems 25 (7), 1287-1297, 2014
232014
Multitask Classification Hypothesis Space With Improved Generalization Bounds
C Li, M Georgiopoulos, GC Anagnostopoulos
Neural Networks and Learning Systems, IEEE Transactions on 26 (7), 1468-1479, 2015
122015
Kernel-based distance metric learning in the output space
C Li, M Georgiopoulos, GC Anagnostopoulos
The 2013 International Joint Conference on Neural Networks (IJCNN), 1-8, 2013
72013
Conic multi-task classification
C Li, M Georgiopoulos, GC Anagnostopoulos
Machine Learning and Knowledge Discovery in Databases: European Conference …, 2014
52014
Kernel principal subspace mahalanobis distances for outlier detection
C Li, M Georgiopoulos, GC Anagnostopoulos
The 2011 International Joint Conference on Neural Networks, 2528-2535, 2011
52011
Neural Input Search for Large Scale Recommendation Models. CoRR abs/1907.04471 (2019)
MR Joglekar, C Li, JK Adams, P Khaitan, QV Le
arXiv preprint arXiv:1907.04471, 2019
42019
Output-Space Distance Metric Learning for k-NN Classification
C Li, M Georgiopoulos, GC Anagnostopoulos
arXiv preprint arXiv:1312.2578, 2013
12013
Learning to select vocabularies for categorical features
C Li, J Adams, M Joglekar, P Khaitan, QV Le, M Chen
US Patent 11,714,857, 2023
2023
Learning to select vocabularies for categorical features
C Li, J Adams, M Joglekar, P Khaitan, QV Le, M Chen
US Patent 11,537,664, 2022
2022
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