| 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 | 208 | 2013 |
| An efficient gene selection algorithm based on mutual information R Cai, Z Hao, X Yang, W Wen Neurocomputing 72 (4-6), 991-999, 2009 | 105 | 2009 |
| 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 | 89 | 2019 |
| 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 | 80 | 2021 |
| 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 | 69 | 2017 |
| 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 | 65 | 2009 |
| 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 | 59 | 2017 |
| BASSUM: A Bayesian semi-supervised method for classification feature selection R Cai, Z Zhang, Z Hao Pattern Recognition 44 (4), 811-820, 2011 | 49 | 2011 |
| 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 | 48 | 2017 |
| 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 | 48 | 2015 |
| Portfolio adjusting optimization under credibility measures X Zhang, WG Zhang, R Cai Journal of computational and applied mathematics 234 (5), 1458-1465, 2010 | 46 | 2010 |
| Sada: A general framework to support robust causation discovery R Cai, Z Zhang, Z Hao International conference on machine learning, 208-216, 2013 | 45 | 2013 |
| 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 | 44 | 2014 |
| 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 | 43 | 2020 |
| 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 | 40 | 2018 |
| An adaptive parameter control strategy for ACO ZF Hao, RC Cai, H Huang 2006 International Conference on Machine Learning and Cybernetics, 203-206, 2006 | 39 | 2006 |
| Determining molecular predictors of adverse drug reactions with causality analysis based on structure learning M Liu, R Cai, Y Hu, ME Matheny, J Sun, J Hu, H Xu Journal of the American Medical Informatics Association 21 (2), 245-251, 2014 | 35 | 2014 |
| 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 | 34 | 2020 |
| Causal gene identification using combinatorial V-structure search R Cai, Z Zhang, Z Hao Neural Networks 43, 63-71, 2013 | 34 | 2013 |
| Block diagonal representation learning for robust subspace clustering L Wang, J Huang, M Yin, R Cai, Z Hao Information Sciences 526, 54-67, 2020 | 31 | 2020 |
zhifeng hao佛山科学技术学院Verified email at fosu.edu.cn
