Peilin Zhao (赵沛霖)
Peilin Zhao (赵沛霖)
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Deep convolutional neural network based regression approach for estimation of remaining useful life
G Sateesh Babu, P Zhao, XL Li
Database Systems for Advanced Applications: 21st International Conference …, 2016
Online learning: A comprehensive survey
SCH Hoi, D Sahoo, J Lu, P Zhao
Neurocomputing 459, 249-289, 2021
Rumor detection on social media with bi-directional graph convolutional networks
T Bian, X Xiao, T Xu, P Zhao, W Huang, Y Rong, J Huang
Proceedings of the AAAI conference on artificial intelligence 34 (01), 549-556, 2020
Local features are not lonely–Laplacian sparse coding for image classification
S Gao, IWH Tsang, LT Chia, P Zhao
Computer Vision and Pattern Recognition (CVPR), 2010 IEEE Conference on …, 2010
Graph convolutional networks for temporal action localization
R Zeng, W Huang, M Tan, Y Rong, P Zhao, J Huang, C Gan
Proceedings of the IEEE/CVF international conference on computer vision …, 2019
Stochastic optimization with importance sampling for regularized loss minimization
P Zhao, T Zhang
international conference on machine learning, 1-9, 2015
Fedml: A research library and benchmark for federated machine learning
C He, S Li, J So, X Zeng, M Zhang, H Wang, X Wang, P Vepakomma, ...
arXiv preprint arXiv:2007.13518, 2020
Neighborhood regularized logistic matrix factorization for drug-target interaction prediction
Y Liu, M Wu, C Miao, P Zhao, XL Li
PLoS computational biology 12 (2), e1004760, 2016
Online feature selection and its applications
J Wang, P Zhao, SCH Hoi, R Jin
IEEE Transactions on knowledge and data engineering 26 (3), 698-710, 2013
Mastering complex control in moba games with deep reinforcement learning
D Ye, Z Liu, M Sun, B Shi, P Zhao, H Wu, H Yu, S Yang, X Wu, Q Guo, ...
Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 6672-6679, 2020
Drug-target interaction prediction with graph regularized matrix factorization
A Ezzat, P Zhao, M Wu, XL Li, CK Kwoh
IEEE/ACM transactions on computational biology and bioinformatics 14 (3 …, 2016
Libol: A library for online learning algorithms
J Wang, P Zhao, SCH Hoi
Online AUC maximization
P Zhao, SCH Hoi, R Jin, T Yang
International Machine Learning Society, 2011
PAMR: Passive aggressive mean reversion strategy for portfolio selection
B Li, P Zhao, SCH Hoi, V Gopalkrishnan
Machine learning, 1-38, 2012
Exact soft confidence-weighted learning
J Wang, P Zhao, SCH Hoi
ICML 2012, 2012
Online arima algorithms for time series prediction
C Liu, SCH Hoi, P Zhao, J Sun
Proceedings of the AAAI conference on artificial intelligence 30 (1), 2016
Online multimodal deep similarity learning with application to image retrieval
P Wu, SCH Hoi, H Xia, P Zhao, D Wang, C Miao
Proceedings of the 21st ACM international conference on Multimedia, 153-162, 2013
Efficient test-time model adaptation without forgetting
S Niu, J Wu, Y Zhang, Y Chen, S Zheng, P Zhao, M Tan
International conference on machine learning, 16888-16905, 2022
Adversarial sparse transformer for time series forecasting
S Wu, X Xiao, Q Ding, P Zhao, Y Wei, J Huang
Advances in neural information processing systems 33, 17105-17115, 2020
Large scale online kernel learning
J Lu, SCH Hoi, J Wang, P Zhao, ZY Liu
Journal of Machine Learning Research 17 (47), 1-43, 2016
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