Dr. Ruichu Cai, Professor

I am currently a Professor in the School of Computer Science, Guangdong University of Technology, Director of Data Mining and Information Retrieval Lab 

I have moved to ruichucai.github.io

Research Interests

My research interests focus on causal discovery, causality-related learning,  and their applications to social science, bioinformatics, and industries.

Academic Background

I pursued my undergraduate study in the Applied Mathematics Department at South China University of Technology and got my bachelor's 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, Jinjie Yuan, Boyan Xu, Zhifeng Hao. SADGA: Structure-Aware Dual Graph Aggregation Network for Text-to-SQL. NeurIPS 2021 

2. Ruichu Cai, Jiawei Chen, Zijian Li, Wen Chen, Keli Zhang, Junjian Ye, Zhuozhang Li, Xiaoyan Yang, Zhenjie Zhang. Time Series Domain Adaptation via Sparse Associative Structure Alignment, AAAI 2021 [code]

3. Ruichu Cai#, Hao Zhang#, Wen Liu#, Shenghua Gao, Zhifeng Hao. Appearance-Motion Memory Consistency Network for Video Anomaly Detection, AAAI 2021

4. Feng Xie#, Ruichu Cai#, Biwei Huang, Clark Glymour, Zhifeng Hao, Kun Zhang#. Generalized Independent Noise Condition for Estimating Linear Non-Gaussian Latent Variable Graphs. NeurIPS 2020 (CCF A类)[code]

5. Ruichu Cai, Zhihao Liang, Boyan Xu, zijian li, Yao Chen and Yuexing Hao. Type Auxiliary Guiding for Code Comment Generation. ACL2020

6. Ruichu Cai, Jiahao Li, Zhenjie Zhang, Xiaoyan Yang, Zhifeng Hao.  DACH: Domain Adaptation without Domain Information. IEEE Transactions on Neural Networks and Learning Systems, 2020:31(12):5055-5067

7. Ruichu Cai, Feng Xie, Clark Glymour, Zhifeng Hao, Kun Zhang. Triad Constraints for Learning Causal Structure of Latent Variables. NeurIPS 2019  [pdf][code]

8. Ruichu Cai, Jie Qiao, Kun Zhang, Zhenjie Zhang, Zhifeng Hao.  Causal Discovery with Cascade Nonlinear Additive Noise Model.  IJCAI 2019 [pdf][code]

9. Ruichu Cai, Zijian Li, Pengfei Wei, Jie Qiao, Kun Zhang, Zhifeng Hao.  Learning Disentangled Semantic Representation for Domain Adaptation.  IJCAI 2019 [pdf][code]

10. Ruichu Cai, Jie Qiao, Kun Zhang, Zhenjie Zhang, Zhifeng Hao. Causal Discovery on Discrete Data using Hidden Compact Representation. NIPS,2018.[pdf][code]

11. Ruichu Cai, Jie Qiao, Zhenjie Zhang, Zhifeng Hao. SELF: Structural Equational Embedded Likelihood Framework for Causal Discovery. AAAI,2018.[pdf][code]

12. 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

13. 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]

14. 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[code]

15. 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. 

16. 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.

17. 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]

18. 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]

19. 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]

20. Ruichu Cai, Zhenjie Zhang, Zhifeng Hao. SADA: A General Framework to Support Robust Causation Discovery, ICML 2013 [pdf].

21. Ruichu Cai, Zhenjie Zhang, Zhifeng Hao. Causal Gene Identification Using Combinatorial V-Structure Search, Neural Networks. 2013;43:63-71[pdf].

22. 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].

23. 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]

24. 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]

25. 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]

26. 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]

27. 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]

28. Wei Chen, Ruichu Cai*, Kun Zhang*, Zhifeng Hao. Causal Discovery in Linear Non-Gaussian Acyclic Model with Multiple Latent Confounders. IEEE Transactions on Neural Networks and Learning Systems, 2021

29. Zijian Li, Ruichu Cai*, Hongwei Ng, Marianne Winslett, Tom Z. J. Fu, Boyan Xu, Xiaoyan Yang, Zhenjie Zhang. Causal Mechanism Transfer Network for Time Series Domain Adaptation in Mechanical Systems[J]. ACM Transactions on Intelligent Systems and Technology, 2021

30. Zhifeng Hao, Di Lv, Zijian Li, Ruichu Cai*, Wen Wen, Boyan Xu. Semi-Supervised Disentangled Framework for Transferable Named Entity Recognition. Neural Networks, 2020 (SCI一区) [code]

31. Zhenjie Zhang, Yin Yang, Ruichu Cai, etc. Kernel-Based Skyline Cardinality Estimation, SIGMOD conference. 2009: 509-522 (EI) [pdf][bibtex]

32. 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]

33. 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]

Professional Activities

Senior PC: AAAI 2019-2021, IJCAI 2019-2021

PC: AAAI 2015-2019, IJCAI 2018-2019, NIPS 2016-2018, ICML 2015-2018, AISTATS 2016-2019, ICLR 2018-2019  SIGKDD Workshop on Causal Discovery 2016-2018, 

Publication Co-Chair: APWEB 2015

Reviewer: TNNLS, TKDE, TIST, Neural Network, Pattern Recognition, Bioinformatics, Neurocomputing, Information Sciences,  National Science Review, Plos ONE, Science China-Information Sciences

Funding

• Causal discovery on high dimensional data and applications (09/2019-12/2020), supported by Huawei 

• Causality related network embedding  (06/2020-06/2021), supported by Wechat

• Public user profile based causal recommendation (05/2017-05/2019), supported by Vipshop

• Research on Causal Mechanism and Methods of Nonstationary Social Network User Behaviors (01/2019-12/2022), supported by Natural Science Foundation of China : 

• Causal Discovery on High Dimensional Data: Theory and Applications (01/2015-12/2018)，supported by Guangdong Natural Science Funds for Distinguished Young Scholar：

• Causal Inference on High Dimensional Incomplete Observational Data and Its Applications (finished)，supported by  Natural Science Foundation of China

• Public Opinion Mining System For Enterprise Decision (finished) ，supported by Science and Technology Plan Project of Guangzhou City

• Research on Causal Inference Based Disease-Causal Gene Discovery (finished)，supported by Natural Science Foundation of China

Links

• Github: https://github.com/DMIRLAB-Group/

• Homepage:  https://dmir.gdut.edu.cn/