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Ruichu Cai
Ruichu Cai
Professor of Computer Science, Guangdong University of Technology
Verified email at gdut.edu.cn - Homepage
Title
Cited by
Cited by
Year
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
2542021
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
2492013
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
1832019
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
1652024
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
1412020
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
1312021
An efficient gene selection algorithm based on mutual information
R Cai, Z Hao, X Yang, W Wen
Neurocomputing 72 (4-6), 991-999, 2009
1112009
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
1022020
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
1002017
An encoder-decoder framework translating natural language to database queries
R Cai, B Xu, X Yang, Z Zhang, Z Li, Z Liang
IJCAI, 2017
992017
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
932021
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
932019
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
862021
A survey on causal reinforcement learning
Y Zeng, R Cai, F Sun, L Huang, Z Hao
IEEE Transactions on Neural Networks and Learning Systems, 2024
772024
SADA: A general framework to support robust causation discovery
R Cai, Z Zhang, Z Hao
International conference on machine learning, 208-216, 2013
662013
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
642009
FFFN: Frame-by-frame feedback fusion network for video super-resolution
J Zhu, Q Zhang, L Fei, R Cai, Y Xie, B Sheng, X Yang
IEEE Transactions on Multimedia 25, 6821-6835, 2022
622022
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
622017
Graph domain adaptation: A generative view
R Cai, F Wu, Z Li, P Wei, L Yi, K Zhang
ACM Transactions on Knowledge Discovery from Data 18 (3), 1-24, 2024
612024
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
612018
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Articles 1–20