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Jing Lu (吕静)
Jing Lu (吕静)
kuaishou
Verified email at kuaishou.com
Title
Cited by
Cited by
Year
Online learning: A comprehensive survey
SCH Hoi, D Sahoo, J Lu, P Zhao
Neurocomputing 459, 249-289, 2021
7712021
Online deep learning: Learning deep neural networks on the fly
D Sahoo, Q Pham, J Lu, SCH Hoi
arXiv preprint arXiv:1711.03705, 2017
3902017
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
2032016
Online passive-aggressive active learning
J Lu, P Zhao, SCH Hoi
Machine learning 103, 141-183, 2016
792016
Second order online collaborative filtering
J Lu, S Hoi, J Wang
Asian Conference on Machine Learning, 325-340, 2013
462013
Category-Specific CNN for Visual-aware CTR Prediction at JD. com
H Liu, J Lu, H Yang, X Zhao, S Xu, H Peng, Z Zhang, W Niu, X Zhu, Y Bao, ...
Proceedings of the 26th ACM SIGKDD international conference on knowledge …, 2020
392020
Second-order online active learning and its applications
S Hao, J Lu, P Zhao, C Zhang, SCH Hoi, C Miao
IEEE Transactions on Knowledge and Data Engineering 30 (7), 1338-1351, 2017
362017
Sampling wisely: Deep image embedding by top-k precision optimization
J Lu, C Xu, W Zhang, LY Duan, T Mei
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019
322019
Online passive aggressive active learning and its applications
J Lu, P Zhao, S Hoi
Asian Conference on Machine Learning, 266-282, 2015
262015
SOL: A library for scalable online learning algorithms
Y Wu, SCH Hoi, C Liu, J Lu, D Sahoo, N Yu
Neurocomputing 260, 9-12, 2017
252017
Soal: Second-order online active learning
S Hao, P Zhao, J Lu, SCH Hoi, C Miao, C Zhang
2016 IEEE 16th International Conference on Data Mining (ICDM), 931-936, 2016
252016
Kalman filtering attention for user behavior modeling in ctr prediction
H Liu, J Lu, X Zhao, S Xu, H Peng, Y Liu, Z Zhang, J Li, J Jin, Y Bao, ...
Advances in Neural Information Processing Systems 33, 9228-9238, 2020
242020
TWIN: TWo-stage interest network for lifelong user behavior modeling in CTR prediction at kuaishou
J Chang, C Zhang, Z Fu, X Zang, L Guan, J Lu, Y Hui, D Leng, Y Niu, ...
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023
232023
Sparse passive-aggressive learning for bounded online kernel methods
J Lu, D Sahoo, P Zhao, SCH Hoi
ACM Transactions on Intelligent Systems and Technology (TIST) 9 (4), 1-27, 2018
202018
Online sparse passive aggressive learning with kernels
J Lu, P Zhao, SCH Hoi
Proceedings of the 2016 SIAM International Conference on Data Mining, 675-683, 2016
162016
Implicit User Awareness Modeling via Candidate Items for CTR Prediction in Search Ads
K Zheng, L Wang, Y Li, X Chen, H Liu, J Lu, X Zhao, C Peng, Z Lin, ...
Proceedings of the ACM Web Conference 2022, 246-255, 2022
122022
Knowledge-enhanced causal reinforcement learning model for interactive recommendation
W Nie, X Wen, J Liu, J Chen, J Wu, G Jin, J Lu, AA Liu
IEEE Transactions on Multimedia 26, 1129-1142, 2023
102023
Leveraging watch-time feedback for short-video recommendations: A causal labeling framework
Y Zhang, Y Bai, J Chang, X Zang, S Lu, J Lu, F Feng, Y Niu, Y Song
Proceedings of the 32nd ACM International Conference on Information and …, 2023
82023
LabelCraft: Empowering Short Video Recommendations with Automated Label Crafting
Y Bai, Y Zhang, J Lu, J Chang, X Zang, Y Niu, Y Song, F Feng
Proceedings of the 17th ACM International Conference on Web Search and Data …, 2024
32024
Budget online multiple kernel learning
J Lu, SCH Hoi, D Sahoo, P Zhao
arXiv preprint arXiv:1511.04813, 2015
32015
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