| Software project risk analysis using Bayesian networks with causality constraints Y Hu, X Zhang, EWT Ngai, R Cai, M Liu Decision Support Systems 56, 439-449, 2013 | 237 | 2013 |
| Appearance-motion memory consistency network for video anomaly detection R Cai, H Zhang, W Liu, S Gao, Z Hao Proceedings of the AAAI conference on artificial intelligence 35 (2), 938-946, 2021 | 184 | 2021 |
| Learning disentangled semantic representation for domain adaptation R Cai, Z Li, P Wei, J Qiao, K Zhang, Z Hao IJCAI: proceedings of the conference 2019, 2060, 2019 | 147 | 2019 |
| An efficient gene selection algorithm based on mutual information R Cai, Z Hao, X Yang, W Wen Neurocomputing 72 (4-6), 991-999, 2009 | 111 | 2009 |
| Generalized independent noise condition for estimating latent variable causal graphs F Xie, R Cai, B Huang, C Glymour, Z Hao, K Zhang Advances in neural information processing systems 33, 14891-14902, 2020 | 100 | 2020 |
| Identification of adverse drug-drug interactions through causal association rule discovery from spontaneous adverse event reports R Cai, M Liu, Y Hu, BL Melton, ME Matheny, H Xu, L Duan, LR Waitman Artificial intelligence in medicine 76, 7-15, 2017 | 88 | 2017 |
| Time series domain adaptation via sparse associative structure alignment R Cai, J Chen, Z Li, W Chen, K Zhang, J Ye, Z Li, X Yang, Z Zhang Proceedings of the AAAI Conference on Artificial Intelligence 35 (8), 6859-6867, 2021 | 87 | 2021 |
| An encoder-decoder framework translating natural language to database queries R Cai, B Xu, X Yang, Z Zhang, Z Li, Z Liang arXiv preprint arXiv:1711.06061, 2017 | 86 | 2017 |
| Dual-dropout graph convolutional network for predicting synthetic lethality in human cancers R Cai, X Chen, Y Fang, M Wu, Y Hao Bioinformatics 36 (16), 4458-4465, 2020 | 81 | 2020 |
| Triad constraints for learning causal structure of latent variables R Cai, F Xie, C Glymour, Z Hao, K Zhang Advances in neural information processing systems 32, 2019 | 77 | 2019 |
| Kernel-based skyline cardinality estimation Z Zhang, Y Yang, R Cai, D Papadias, A Tung Proceedings of the 2009 ACM SIGMOD International Conference on Management of …, 2009 | 63 | 2009 |
| Sadga: Structure-aware dual graph aggregation network for text-to-sql R Cai, J Yuan, B Xu, Z Hao Advances in Neural Information Processing Systems 34, 7664-7676, 2021 | 60 | 2021 |
| An CNN-LSTM attention approach to understanding user query intent from online health communities R Cai, B Zhu, L Ji, T Hao, J Yan, W Liu 2017 ieee international conference on data mining workshops (icdmw), 430-437, 2017 | 59 | 2017 |
| Causal-learn: Causal discovery in python Y Zheng, B Huang, W Chen, J Ramsey, M Gong, R Cai, S Shimizu, ... Journal of Machine Learning Research 25 (60), 1-8, 2024 | 57 | 2024 |
| Domain adaptation with invariant representation learning: What transformations to learn? P Stojanov, Z Li, M Gong, R Cai, J Carbonell, K Zhang Advances in Neural Information Processing Systems 34, 24791-24803, 2021 | 57 | 2021 |
| BASSUM: A Bayesian semi-supervised method for classification feature selection R Cai, Z Zhang, Z Hao Pattern Recognition 44 (4), 811-820, 2011 | 57 | 2011 |
| Sada: A general framework to support robust causation discovery R Cai, Z Zhang, Z Hao International conference on machine learning, 208-216, 2013 | 56 | 2013 |
| Deterministic identification of specific individuals from GWAS results R Cai, Z Hao, M Winslett, X Xiao, Y Yang, Z Zhang, S Zhou Bioinformatics 31 (11), 1701-1707, 2015 | 52 | 2015 |
| Causal discovery from discrete data using hidden compact representation R Cai, J Qiao, K Zhang, Z Zhang, Z Hao Advances in neural information processing systems 31, 2018 | 49 | 2018 |
| A general framework of hierarchical clustering and its applications R Cai, Z Zhang, AKH Tung, C Dai, Z Hao Information Sciences 272, 29-48, 2014 | 49 | 2014 |
Zhifeng HaoShantou UniversityVerified email at stu.edu.cn
