Dr. Ruichu Cai, Professor

I am currently a Professor in the Faculty of Computer Science, Guangdong University of Technology

I has served as reviewers in several journals, including IEEE TNNLS, IEEE TKDE, Neural Computation, PLoS ONE, Soft Computing, Neurocomputing, Applied Intelligence and so on.


  • Natural Science Foundation of China Causal Inference on High Dimensional Incomplete Observational Data and Its Applications
  • Guangdong Natural Science Funds for Distinguished Young Scholar:Causal Discovery on High Dimensional Data: Theory and Applications (01/2015-12/2018)
  • Science and Technology Plan Project of Guangzhou City: Public Opinion Mining System For Enterprise Decision (03/2014-03/2014)
  • Natural Science Foundation of Guangdong Province: Disease-Causal Gene Discovery in Gene Expression Data(finished)
  • Natural Science Foundation of China : Research on Causal Inference Based Disease-Causal Gene Discovery (finished)
  • Natural Science Foundation of Guangdong Province: Disease-Causal Gene Discovery in Gene Expression Data(finished)
  • Foundation of State Key Lab. for Novel Software Tech.: V-Structure Search Based Disease-Causal Gene Discover(finished)

Research Interests

My interest mainly focuses on data mining, machine learning and their applications. Now, I am working on the problem "How to inference causal structures in observational data". 

Previous work includes:

  • Statistical learning theory and its application on cancer classification
  • Efficient and robust feature selection algorithms and its application on gene expression data 
  • Heuristic search algorithm, such as Ant Colony Optimization, and its application on economics   

Academic Background

I pursued my undergraduate study in the Applied Mathematic Department in South China University of Technology and got my bachelor degree in 2005.

After that I continued my postgraduate study in the Computer Science Department at the same university, and got my Ph.D. in 2010.

I was a visiting student at the National University of Singapore in 2007-2009.

I was a Postdoc Researcher at Advanced Digital Sciences Center (University of Illinois at Urbana-Champaign's Research Center in Singapore) in 07/2013-07/2014. 

Selected Publications

  1. Ruichu cai, Zhenjie Zhang, Zhifeng Hao, Marianne Winslett.  Sophisticated Merging over Random Partitions: A Scalable and Robust Causal Discovery Approach. IEEE Transactions on Neural Networks and Learning Systems,2017
  2. Ruichu Cai, Zijie Lu, Li Wang, Zhenjie Zhang. DITIR: Distributed Index for High Throughput Trajectory Insertion and Real-time Temporal Range Query, PVLDB,2017 10(12):.[video]
  3. Ruichu Cai, Mei Liu, Yong Hu , Brittany L. Melton, Michael E. Matheny,Hua Xu, Lian Duan, Lemuel R. Waitman. Identification of adverse drug-drug interactions through causal association rule discovery from spontaneous adverse event reports. Artificial Intelligence in Medicine 76 (2017) 7–15
  4. Ruichu Cai, Zhenjie Zhang, Zhifeng Hao, Marianne Winslett. Understanding Social Causalities Behind Human Action Sequences. IEEE Transactions on Neural Networks and Learning Systems. 2017,28(8):1801-1813. 
  5. Ruichu Cai,Zhenjie Zhang,Srinivasan Parthasarathy,Anthony K. H. Tung,Zhifeng Hao,Wen Zhang.Multi-Domain Manifold Learning for Drug-Target Interaction Prediction.2016 SIAM International Conference on Data Mining.
  6. Ruichu Cai, Zhifeng Hao, Marianne Winslett, Xiaokui Xiao, Yin Yang, Zhenjie Zhang,Shuigeng Zhou. Deterministic Identification of Specific Individuals from GWAS Results[J]. Bioinformatics, 2015 [pdf][code][Supplementary Materials]
  7. Ruichu Cai, Zhenjie Zhang, A K H Tung, et al. A general framework of hierarchical clustering and its applications[J]. Information Sciences, 2014: 272, 29-48 [pdf]
  8. Mei Liu, Ruichu Cai (co-first author), Yong Hu, Michael E Matheny, Jingchun Sun, Jun Hu, Hua Xu. Determining molecular predictors of adverse drug reactions with causality analysis based on structure learning, Journal of the American Medical Informatics Association, 2013 [pdf]
  9. Ruichu Cai, Zhenjie Zhang, Zhifeng Hao. SADA: A General Framework to Support Robust Causation Discovery, ICML 2013 [pdf].
  10. Ruichu Cai, Zhenjie Zhang, Zhifeng Hao. Causal Gene Identification Using Combinatorial V-Structure Search, Neural Networks. 2013;43:63-71[pdf].
  11. Ruichu Cai, Zhifeng Hao, Wen Wen, Lijuan Wang. Regularized Gaussian Mixture Model Based Discretization for Gene Expression Data Association Mining,  Applied Intelligence. 2013; 39:607–613[pdf].
  12. Ruichu Cai, Zhenjie Zhang, Zhifeng Hao. BASSUM:A Bayesian semi-supervised method for classification feature selection,Pattern Recognition. 2011;44(4):811-820(SCI:711BV)[pdf][bibtex]
  13. Ruichu Cai, Tung K.H. Anthony, Zhifeng Hao, Zhenjie Zhang. What is Unequal among the Equals? Ranking Equivalent Rules from Gene Expression Data. IEEE Transactions on Knowledge and Data Engineering. 2011;23(11):1735-1747(SCI:824CX)[pdf][bibtex]
  14. Ruichu Cai, Zhifeng Hao, Xiaowei Yang, Han Huang. A New Hybrid Method for Gene Selection. Pattern Analysis and Application.2010;14(1):1-8.(SCI)[pdf][bibtex]
  15. Ruichu Cai, Zhifeng Hao. Kernel Based Gene Expression Pattern Discovery and Its Application on Cancer Classification. Neurocomputing. 2010; 73(13-15):2562-2570(SCI) [pdf][bibtex]
  16. Ruichu Cai, Zhifeng Hao, Xiaowei Yang,Wen Wen. An efficient gene selection algorithm based on mutual information. Neurocomputing. 2009; 72(4-6):991-999.(SCI) [pdf][bibtex]
  17. Zhenjie Zhang, Yin Yang, Ruichu Cai, etc. Kernel-Based Skyline Cardinality Estimation, SIGMOD conference. 2009: 509-522 (EI) [pdf][bibtex]
  18. Ruichu Cai, Zhifeng Hao, Wen Wen. A Novel Gene Ranking Algorithm Based on Random Subspace Method. International Joint Conference on Neural Networks. 2007:219-223 (EI) [pdf][bibtex]
  19. Zhifeng Hao, Ruichu Cai, Han Huang. An Adaptive Parameter Control strategy for ACO. International Conference on Machine Learning and Cybernetics. 2006: 203-206 (EI) [pdf][bibtex]