| Deep convolutional neural network based regression approach for estimation of remaining useful life G Sateesh Babu, P Zhao, XL Li International conference on database systems for advanced applications, 214-228, 2016 | 1265 | 2016 |
| Online learning: A comprehensive survey SCH Hoi, D Sahoo, J Lu, P Zhao Neurocomputing 459, 249-289, 2021 | 1200 | 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 | 933 | 2020 |
| 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 | 681 | 2019 |
| 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 | 643 | 2020 |
| 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 | 583 | 2022 |
| 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 | 574 | 2010 |
| Stochastic optimization with importance sampling for regularized loss minimization P Zhao, T Zhang international conference on machine learning, 1-9, 2015 | 535 | 2015 |
| Towards stable test-time adaptation in dynamic wild world S Niu, J Wu, Y Zhang, Z Wen, Y Chen, P Zhao, M Tan arXiv preprint arXiv:2302.12400, 2023 | 475 | 2023 |
| 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 | 428 | 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 | 422 | 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 | 367 | 2013 |
| 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 | 348 | 2016 |
| 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 | 344 | 2020 |
| Libol: A library for online learning algorithms SCH Hoi, J Wang, P Zhao The Journal of Machine Learning Research 15 (1), 495-499, 2014 | 304 | 2014 |
| 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 | 295 | 2016 |
| Transformer for graphs: An overview from architecture perspective E Min, R Chen, Y Bian, T Xu, K Zhao, W Huang, P Zhao, J Huang, ... arXiv preprint arXiv:2202.08455, 2022 | 294 | 2022 |
| Online AUC maximization P Zhao, SC Hoi, R Jin, T Yang A. More Experiments for Test AUROC A 1, 2011 | 290 | 2011 |
| PAMR: Passive aggressive mean reversion strategy for portfolio selection B Li, P Zhao, SCH Hoi, V Gopalkrishnan Machine learning, 1-38, 2012 | 283 | 2012 |
| Fedgraphnn: A federated learning system and benchmark for graph neural networks C He, K Balasubramanian, E Ceyani, C Yang, H Xie, L Sun, L He, L Yang, ... arXiv preprint arXiv:2104.07145, 2021 | 277 | 2021 |
Steven C.H. HoiVP of Alibaba Group; ex-VP of Salesforce; IEEE Fellow; Professor at SMUVerified email at smu.edu.sg
