Ruichu Cai
Ruichu Cai
Professor of Computer Science, Guangdong University of Technology
Verified email at - Homepage
Cited by
Cited by
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
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
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
An efficient gene selection algorithm based on mutual information
R Cai, Z Hao, X Yang, W Wen
Neurocomputing 72 (4-6), 991-999, 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
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
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
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
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
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
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
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
BASSUM: A Bayesian semi-supervised method for classification feature selection
R Cai, Z Zhang, Z Hao
Pattern Recognition 44 (4), 811-820, 2011
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
Sada: A general framework to support robust causation discovery
R Cai, Z Zhang, Z Hao
International conference on machine learning, 208-216, 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
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
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
Portfolio adjusting optimization under credibility measures
X Zhang, WG Zhang, R Cai
Journal of computational and applied mathematics 234 (5), 1458-1465, 2010
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
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