Deep learning for anomaly detection: A review G Pang, C Shen, L Cao, AVD Hengel ACM computing surveys (CSUR) 54 (2), 1-38, 2021 | 1974 | 2021 |
Data science: a comprehensive overview L Cao ACM Computing Surveys (CSUR) 50 (3), 1-42, 2017 | 633 | 2017 |
Training deep neural networks on imbalanced data sets S Wang, W Liu, J Wu, L Cao, Q Meng, PJ Kennedy 2016 international joint conference on neural networks (IJCNN), 4368-4374, 2016 | 543 | 2016 |
A survey on session-based recommender systems S Wang, L Cao, Y Wang, QZ Sheng, MA Orgun, D Lian ACM Computing Surveys (CSUR) 54 (7), 1-38, 2021 | 536 | 2021 |
Effective detection of sophisticated online banking fraud on extremely imbalanced data W Wei, J Li, L Cao, Y Ou, J Chen World Wide Web 16, 449-475, 2013 | 425 | 2013 |
Sequential recommender systems: challenges, progress and prospects S Wang, L Hu, Y Wang, L Cao, QZ Sheng, M Orgun arXiv preprint arXiv:2001.04830, 2019 | 401 | 2019 |
Personalized recommendation via cross-domain triadic factorization L Hu, J Cao, G Xu, L Cao, Z Gu, C Zhu Proceedings of the 22nd international conference on World Wide Web, 595-606, 2013 | 325 | 2013 |
USpan: an efficient algorithm for mining high utility sequential patterns J Yin, Z Zheng, L Cao Proceedings of the 18th ACM SIGKDD international conference on Knowledge …, 2012 | 313 | 2012 |
Lecture notes in computer science (including subseries lecture notes in artificial intelligence and lecture notes in bioinformatics): Preface M Abe, K Aoki, G Ateniese, R Avanzi, Z Beerliová, O Billet, A Biryukov, ... Lecture Notes in Computer Science (including subseries Lecture Notes in …, 2006 | 253* | 2006 |
Attention-based transactional context embedding for next-item recommendation S Wang, L Hu, L Cao, X Huang, D Lian, W Liu Proceedings of the AAAI conference on artificial intelligence 32 (1), 2018 | 247 | 2018 |
In-depth behavior understanding and use: the behavior informatics approach L Cao Information Sciences 180 (17), 3067-3085, 2010 | 237 | 2010 |
Learning representations of ultrahigh-dimensional data for random distance-based outlier detection G Pang, L Cao, L Chen, H Liu Proceedings of the 24th ACM SIGKDD international conference on knowledge …, 2018 | 227 | 2018 |
Ai in finance: challenges, techniques, and opportunities L Cao ACM Computing Surveys (CSUR) 55 (3), 1-38, 2022 | 211 | 2022 |
Coupled behavior analysis with applications L Cao, Y Ou, SY Philip IEEE Transactions on Knowledge and Data Engineering 24 (8), 1378-1392, 2011 | 202 | 2011 |
Data science: challenges and directions L Cao Communications of the ACM 60 (8), 59-68, 2017 | 198 | 2017 |
Domain-driven data mining: Challenges and prospects L Cao IEEE Transactions on Knowledge and Data Engineering 22 (6), 755-769, 2010 | 190 | 2010 |
Svdd-based outlier detection on uncertain data B Liu, Y Xiao, L Cao, Z Hao, F Deng Knowledge and information systems 34, 597-618, 2013 | 188 | 2013 |
Graph learning based recommender systems: A review S Wang, L Hu, Y Wang, X He, QZ Sheng, MA Orgun, L Cao, F Ricci, ... arXiv preprint arXiv:2105.06339, 2021 | 182 | 2021 |
Decentralized ai: Edge intelligence and smart blockchain, metaverse, web3, and desci L Cao IEEE Intelligent Systems 37 (3), 6-19, 2022 | 179 | 2022 |
Agent mining: The synergy of agents and data mining L Cao, V Gorodetsky, PA Mitkas IEEE intelligent systems 24 (3), 64-72, 2009 | 179 | 2009 |