| Deep Interest Evolution Network for Click-Through Rate Prediction G Zhou, N Mou, Y Fan, Q Pi, W Bian, C Zhou, X Zhu, K Gai AAAI 2019, 2019 | 146 | 2019 |
| ATRank: An Attention-Based User Behavior Modeling Framework for Recommendation C Zhou, J Bai, J Song, X Liu, Z Zhao, X Chen, J Gao AAAI 2018, 2018 | 123 | 2018 |
| Scalable graph embedding for asymmetric proximity C Zhou, Y Liu, X Liu, Z Liu, J Gao Proceedings of the AAAI Conference on Artificial Intelligence 31 (1), 2017 | 100 | 2017 |
| Cognitive Graph for Multi-Hop Reading Comprehension at Scale M Ding, C Zhou, Q Chen, H Yang, J Tang ACL 2019, 2019 | 68 | 2019 |
| Continuous pattern detection over billion-edge graph using distributed framework J Gao, C Zhou, J Zhou, JX Yu 2014 IEEE 30th International Conference on Data Engineering, 556-567, 2014 | 62 | 2014 |
| Mocgraph: Scalable distributed graph processing using message online computing C Zhou, J Gao, B Sun, JX Yu Proceedings of the VLDB Endowment 8 (4), 377-388, 2014 | 40 | 2014 |
| Learning Disentangled Representations for Recommendation J Ma*, C Zhou*, P Cui, H Yang, W Zhu NeurIPS 2019, 2019 | 32 | 2019 |
| GLog: A high level graph analysis system using MapReduce J Gao, J Zhou, C Zhou, JX Yu 2014 IEEE 30th International Conference on Data Engineering, 544-555, 2014 | 21 | 2014 |
| AliGraph: A Comprehensive Graph Neural Network Platform R Zhu, K Zhao, H Yang, W Lin, C Zhou, B Ai, Y Li, J Zhou VLDB 2019 (industry track), 2019 | 17 | 2019 |
| Toward continuous pattern detection over evolving large graph with snapshot isolation J Gao, C Zhou, JX Yu The VLDB Journal 25 (2), 269-290, 2016 | 17 | 2016 |
| Personalized Bundle List Recommendation J Bai, C Zhou*, J Song, X Qu, W An, Z Li, J Gao WWW 2019, 2019 | 8 | 2019 |
| UniWalk: Unidirectional Random Walk Based Scalable SimRank Computation over Large Graph J Song, X Luo, J Gao, C Zhou, H Wei, JX Yu IEEE Transactions on Knowledge and Data Engineering 30 (5), 992-1006, 2018 | 7 | 2018 |
| Understanding Negative Sampling in Graph Representation Learning Z Yang, M Ding, C Zhou, H Yang, J Zhou, J Tang KDD 2020, 2020 | 6 | 2020 |
| Giraphasync: supporting online and offline graph processing via adaptive asynchronous message processing Y Liu, C Zhou, J Gao, Z Fan Proceedings of the 25th ACM International on Conference on Information and …, 2016 | 5 | 2016 |
| Disentangled Self-Supervision in Sequential Recommenders J Ma, C Zhou, H Yang, P Cui, X Wang, W Zhu KDD 2020, 2020 | 4 | 2020 |
| Variational Autoencoders for Highly Multivariate Spatial Point Processes Intensities B Yuan, X Wang, J Ma, C Zhou, AL Bertozzi, H Yang ICLR 2020, 2020 | 4 | 2020 |
| Cognitive Knowledge Graph Reasoning for One-shot Relational Learning Z Du, C Zhou, M Ding, H Yang, J Tang arxiv, 2019 | 4 | 2019 |
| Contrastive Learning for Debiased Candidate Generation in Large-Scale Recommender Systems C Zhou, J Ma, J Zhang, J Zhou, H Yang https://arxiv.org/abs/2005.12964, 2020 | 2 | 2020 |
| Controllable Multi-Interest Framework for Recommendation Y Cen, J Zhang, X Zou, C Zhou, H Yang, J Tang KDD 2020, 2020 | 2 | 2020 |
| Uniwalk: Unidirectional random walk based scalable simrank computation over large graph X Luo, J Gao, C Zhou, JX Yu ICDE 2017, 2017 | 2 | 2017 |
Jeffrey Xu YuChinese University of Hong KongVerified email at se.cuhk.edu.hk
