Lijun Zhang
Lijun Zhang
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Cited by
Cited by
Graph regularized sparse coding for image representation
M Zheng, J Bu, C Chen, C Wang, L Zhang, G Qiu, D Cai
IEEE transactions on image processing 20 (5), 1327-1336, 2010
Music recommendation by unified hypergraph: combining social media information and music content
J Bu, S Tan, C Chen, C Wang, H Wu, L Zhang, X He
Proceedings of the 18th ACM international conference on Multimedia, 391-400, 2010
Expert finding for question answering via graph regularized matrix completion
Z Zhao, L Zhang, X He, W Ng
IEEE Transactions on Knowledge and Data Engineering 27 (4), 993-1004, 2014
Linear convergence with condition number independent access of full gradients
L Zhang, M Mahdavi, R Jin
Advances in Neural Information Processing Systems 26, 980-988, 2013
Document summarization based on data reconstruction
Z He, C Chen, J Bu, C Wang, L Zhang, D Cai, X He
Twenty-sixth AAAI conference on artificial intelligence, 2012
Active learning based on locally linear reconstruction
L Zhang, C Chen, J Bu, D Cai, X He, TS Huang
IEEE Transactions on Pattern Analysis and Machine Intelligence 33 (10), 2026 íK, 2011
Robust non-negative matrix factorization
L Zhang, Z Chen, M Zheng, X He
Frontiers of Electrical and Electronic Engineering in China 6 (2), 192-200, 2011
Efficient distance metric learning by adaptive sampling and mini-batch stochastic gradient descent (SGD)
Q Qian, R Jin, J Yi, L Zhang, S Zhu
Machine Learning 99 (3), 353-372, 2015
Efficient algorithms for robust one-bit compressive sensing
L Zhang, J Yi, R Jin
International Conference on Machine Learning, 820-828, 2014
Recovering the optimal solution by dual random projection
L Zhang, M Mahdavi, R Jin, T Yang, S Zhu
Conference on Learning Theory, 135-157, 2013
Tracking slowly moving clairvoyant: Optimal dynamic regret of online learning with true and noisy gradient
T Yang, L Zhang, R Jin, J Yi
International Conference on Machine Learning, 449-457, 2016
Graph regularized feature selection with data reconstruction
Z Zhao, X He, D Cai, L Zhang, W Ng, Y Zhuang
IEEE Transactions on Knowledge and Data Engineering 28 (3), 689-700, 2015
Improved dynamic regret for non-degenerate functions
L Zhang, T Yang, J Yi, R Jin, ZH Zhou
arXiv preprint arXiv:1608.03933, 2016
Dynamic regret of strongly adaptive methods
L Zhang, T Yang, ZH Zhou
International conference on machine learning, 5882-5891, 2018
Multi-view concept learning for data representation
Z Guan, L Zhang, J Peng, J Fan
IEEE Transactions on Knowledge and Data Engineering 27 (11), 3016-3028, 2015
Adaptive online learning in dynamic environments
L Zhang, S Lu, ZH Zhou
Proceedings of the 32nd International Conference on Neural Information íK, 2018
Semi-supervised clustering by input pattern assisted pairwise similarity matrix completion
J Yi, L Zhang, R Jin, Q Qian, A Jain
International conference on machine learning, 1400-1408, 2013
Mixed optimization for smooth functions
M Mahdavi, L Zhang, R Jin
Advances in neural information processing systems 26, 674-682, 2013
VR-SGD: A simple stochastic variance reduction method for machine learning
F Shang, K Zhou, H Liu, J Cheng, IW Tsang, L Zhang, D Tao, L Jiao
IEEE Transactions on Knowledge and Data Engineering 32 (1), 188-202, 2018
Online stochastic linear optimization under one-bit feedback
L Zhang, T Yang, R Jin, Y Xiao, ZH Zhou
International Conference on Machine Learning, 392-401, 2016
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