General

Name:               Xin Luo
Title:                  Professor
Department:      Chongqing Institute of Green and Intelligent Technology
E-Mail:               luoxin21@cigit.ac.cn

Research Areas

Big Data Mining and Analysis
Recommender Systems
Social Network Analysis
High-dimensional and Sparse Data Analysis

Education

2005.09~2011.01 BeiHang University (BUAA) School of Computer Science Computer Science Ph.D.
2001.09~2005.07 University of Electronic Science and Technology of China (UESTC) School of Computer Science Computer Science B.E.

Experience


Work Experience

2016.01~Present Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences Professor
2o14.02~2016.02 Hong Kong Polytechnic University Hong Kong Scholar Postdoc
2013.10~2015.12 College of Computer Science, Chongqing University Associate Professor
2011.03~2013.09 College of Computer Science, Chongqing University Assistant Professor

Publications

   
Papers

1. Xin Luo, Mengchu Zhou, Zidong Wang, Yunni Xia, and Qingsheng Zhu. An Effective QoS Estimating Scheme via Alternating Direction Method-based Matrix Factorization, IEEE Trans. on Services Computing, DOI 10.1109/TSC.2016.2597829 (In Press).
2. Xin Luo, Mengchu Zhou, Shuai Li, Zhuhong You, Yunni Xia, and Qingsheng Zhu. A Non-negative Latent Factor Model for Large-scale Sparse Matrices in Recommender Systems via Alternating Direction Method[J]. IEEE Trans. on Neural Networks and Learning Systems, 2016, 27(3):524-537
3. Xin Luo, Mengchu Zhou, Yunni Xia, and Qingsheng Zhu. Generating Highly Accurate Predictions for Missing QoS-data via Aggregating Non-negative Latent Factor Models[J]. IEEE Trans. on Neural Networks and Learning Systems, 2016, 27(3):579-592
4. Xin Luo, Mengchu Zhou, Yunni Xia, and Qingsheng Zhu. An Incremental-and-Static-Combined Scheme for Matrix-Factorization-Based Collaborative Filtering[J]. IEEE Trans. on Automation Science and Engineering, 2016, 13(1):333-343
5. Xin Luo, Mengchu Zhou, Mingsheng Shang, Shuai Li, and Yunni Xia. A Novel Approach to Extracting Non-negative Latent Factors from Big Sparse Matrices [J]. IEEE Access, 2016, 4: 2649-2655.
6. Xin Luo, Zhuhong You, Shuai Li, Yunni Xia, and Hareton Leung. Improving Network Topology-based Protein Interactome Mapping via Collaborative Filtering[J]. Knowledge-Based Systems, 2015, 90:23-32
7. Xin Luo, Mengchu Zhou, Shuai Li, Zhuhong You, Yunni Xia, and Qingsheng Zhu, and Hareton Leung. An Efficient Second-order Approach to Factorizing Sparse Matrices in Recommender Systems[J]. IEEE Trans. on Industrial Informatics, 2015, 11(4): 946-956
8. Xin Luo, Zhuhong You, Mengchu Zhou, Shuai Li, Hareton Leung, Yunni Xia, Qingsheng Zhu. A Highly Efficient Approach to Protein Interactome Mapping Based on Collaborative Filtering Framework [J]. Scientific Reports, 2015, 5, 7702
9. Xin Luo, Mengchu Zhou, Yunni Xia, and Qingsheng Zhu. An Efficient Non-negative Matrix-factorization-based Approach to Collaborative-filtering for Recommender Systems[J]. IEEE Trans. on Industrial Informatics, 2014, 10(2): 1273-1284
10. Xin Luo, Yunni Xia, Qingsheng Zhu and Yi Li. Boosting the K-nearest-neighborhood Based Incremental Collaborative Filtering [J]. Knowledge-Based Systems, 2013, 53: 90-99
11. Xin Luo, Yunni Xia and Qingsheng Zhu. Applying the Learning Rate Adaptation to the Matrix Factorization Based Collaborative Filtering[J]. Knowledge-Based Systems, 2013, 37: 154-164
12. Xin Luo, Yunni Xia and Qingsheng Zhu. Incremental Collaborative Filtering Recommender Based on Regularized Matrix Factorization[J]. Knowledge-Based Systems, 2012, 27: 271-280
13. Xin Luo, Huijun Liu, Gaopeng Gou, Yunni Xia and Qingsheng Zhu. A Parallel Matrix Factorization Based Recommender by Alternating Stochastic Gradient Decent[J]. Engineering Applications of Artificial Intelligence, 2012, 25(2), 1403-1412
14. Xin Luo, Yuanxin Ouyang and Zhang Xiong. Improving Neighborhood Based Collaborative Filtering Via Integrated Folksonomy Information[J]. Pattern Recognition Letters, 2012, 33(3): 263-270
15. Xin Luo, Yuanxin Ouyang and Zhang Xiong. Improving Latent Factor Model Based Collaborative Filtering Via Integrated Folksonomy Factors[J]. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 2011, 19(2): 307-327
16. Xin Luo, Yuanxin Ouyang and Zhang Xiong. Improving Matrix Factorization Based Recommender Via Ensemble Methods[J]. International Journal of Information Technology & Decision Making, 2011, 10(3): 539-561
17. Xin Luo, Yuanxin Ouyang and Zhang Xiong. FR: A Novel Strategy to Improve Item-Oriented Collaborative Filtering[J]. Journal of Internet Technology, 2011, 12(1): 117-128
18. ZhuhongYou, Mengchu Zhou, Xin Luo, Shuai Li. Highly Efficient Framework for Predicting Interactions Between Proteins[J]. IEEE Trans. on Cybernetics, DOI 10.1109/TCYB.2016.2524994
19. Shuai Li, ZhuhongYou, Hongliang Guo, Xin Luo, Zhongqiu Zhao. Inverse-free Extreme Learning Machine with Optimal Information Updating[J]. IEEE Trans. on Cybernetics, DOI 10.1109/TCYB.2015.2434841
20. Shuai Li, Mengchu Zhou, Xin Luo, and ZhuhongYou. Distributed Winner-take-all in Dynamic Networks, IEEE TRANSACTIONS ON AUTOMATIC CONTROL, DOI 10.1109/TAC.2016.2578645 (In Press).
21. YunniXia, Mengchu Zhou, Xin Luo, Shanchen Pang, Qingsheng Zhu, Jia Li. Stochastic Modeling and Performance Analysis of Migration-enabled and Error Prone Clouds[J]. IEEE Trans. on Industrial Informatics, 2015, 11(2):495-504
22. Yunni Xia, MengChu Zhou, Xin Luo, Shanchen Pang, Qingsheng Zhu. A Stochastic Approach to Analysis of Energy-Aware Dvs-Enabled Cloud Datacenters [J]. IEEE Trans. on Systems, Man, and Cybernetics: Systems, 2015, 45(1): 73-83
23. Yunni Xia, MengChu Zhou, Xin Luo, Qingsheng Zhu, Jia Li, Yu Huang. Stochastic Modeling and Quality Evaluation of Infrastructure-as-a-Service Clouds [J]. IEEE Trans. on Automation Science and Engineering, 2015, 12(1): 162-170
24. Jia Li, Xin Luo, Yunni Xia, Yakai Han, Qingsheng Zhu. A Time Series and Reduction-Based Model for Modeling and Qos Prediction of Service Compositions [J]. Concurrency and Computation: Practice and Experience, 2015, 27(1): 146-163
25. Yunni Xia, Xin Luo, Jia Li, Qingsheng Zhu. A Petri-Net-Based Approach to Reliability Determination of Ontology-Based Service Compositions [J]. IEEE Trans on Systems, Man, and Cybernetics: Systems, 2013, 43(5): 1240-1247
26. Yunni Xia, Xiang Zhang, Xin Luo, Qingsheng Zhu. Modelling of Ontology-Based Service Compositions Using Petri-Net [J]. ELEKTRONIKA IR ELEKTROTECHNIKA, 2013, 19(2): 98-102
27. Yunni Xia, Neng Wan, Gang Dai, Xin Luo, Tianhao Sun. A Non-Markovian Stochastic Petri Net-Based Approach to Performance Evaluation of Ontology-Based Service Composition [J]. Concurrency and Computation: Practice and Experience, 2012, 24(18): 2255-2267
28. Zhuhong You, Shuai Li, Xin Gao, Xin Luo, Zhen Ji. Large-scale Protein-Protein Interactions Detection by Integrating Big Biosensing Data with Computational Model[J]. BioMed Research International, DOI 10.1155/2014/598129, In Press
29. Yuan Huang, Zhuhong You, Xin Luo, Shuai Li, Liguang Huang. Improved Protein-Protein Interactions Prediction via Weighted Sparse Representation Model combining Continuous Wavelet Descriptor and PseAA Composition[J]. International Journal of Genomics, Accept
30. Yuan Huang, Zhuhong You, Xin Luo, Lin Zhu, Leon Wong. Using Weighted Sparse Representation Model Combined with Discrete Cosine Transformation to Predict Protein-Protein Interactions from Protein Sequence[J]. International Journal of Molecular Sciences, 2015, 18(7): 10985-10991

Research Interests

Neural Networks
Recommender Systems
Regularization
Latent Factor Analysis
Sparse Matrix Analysis
Sparse Representation
Tensor Factorization
Clustering

Collaboration

Prof. Meng-Chu Zhou, link: https://web.njit.edu/~zhou/

Prof. Zi-Dong Wang, link: http://people.brunel.ac.uk/~csstzzw/

Dr. Shuai Li, Dept. of Computing, Hong Kong Polytechnic University