罗辛，1983年生，研究员，博士生导师。2005年于电子科技大学计算机学院获学士学位，2011年于北京航空航天大学计算机学院获博士学位；2014年2月-2016年2月受人社部“香江学者”计划支持，在香港理工大学开展博士后研究；2016年1月经由中国科学院百人计划引进中国科学院重庆绿色智能技术研究院；2017年起任大数据智能计算重庆市重点实验室执行主任，2018年起任重庆市智慧城市大数据应用工程技术研究中心主任、中国科学院重庆绿色智能技术研究大数据挖掘与应用中心副主任。相关研究聚焦于大数据智能计算领域高维稀疏数据分析方向，在IEEE T. NNLS、IEEE T. Cybernetics、IEEE T. II、IEEE T. SMC Systems、IJCAI、ICDM等国际期刊和会议上发表学术论文100余篇（IEEE Transactions论文33篇），累积影响因子大于220，SCI统计引用900余次，谷歌学术统计引用1800余次。申请国家发明专利36项，获权19项，并实现17项授权专利的成果转化，累积产生经济效益超过7000万元。先后主持国家级项目5项，省部级项目10余项，累积负责科研经费超过3000万元。2011年获重庆市科技进步二等奖，2014年入选重庆市青年科技人才培养计划，2015年获评ACM中国学术新星重庆分会奖，2016年入选中国科学院百人计划，2017年入选重庆市青年拔尖人才、IEEE学会高级会员，并获重庆市自然科学三等奖，2018年获中国人工智能学会吴文俊人工智能科技进步一等奖、重庆市科技进步一等奖、中国科学院百人计划择优支持。目前担任国际期刊IEEE/CAA Journal of Automatica Sinica、Neurocomputing、IEEE Access、Softcomputing的Associate Editor，获评IEEE Acess2018年Outstanding Associate Editor，并先后担任二十余个国际会议的程序委员会委员。罗辛研究员在IEEE汇刊和国际顶级会议上发表的主要论文如下（*号表示通讯作者，#号表示共同第一作者）：
1. Xin Luo*（罗辛）, MengChu Zhou, Shuai Li, Yunni Xia, Zhuhong You, Qingsheng Zhu, and Hareton Leung. Incorporation of Efficient Second-order Solvers into Latent Factor Models for Accurate Prediction of Missing QoS Data. IEEE Transactions on Cybernetics, 2018, 48 (4):1216-1228. IF=8.803，中科院分区一区，SCI引用18次
2. Xin Luo*（罗辛）, MengChu Zhou, Shuai Li, and Mingsheng Shang. An Inherently Non-negative Latent Factor Model for High-dimensional and Sparse Matrices from Industrial Applications. IEEE Transactions on Industrial Informatics, 2018, 14 (5): 2011-2022. IF=5.430，中科院分区一区，SCI引用8次
3. Xin Luo*（罗辛）, Jianpei Sun, Zidong Wang, Shuai Li, and Mingsheng Shang. Symmetric and Non-negative Latent Factor Models for Undirected, High Dimensional and Sparse Networks in Industrial Applications, IEEE Transactions on Industrial Informatics, 2017, 13(6):3098-3107. IF=5.430，中科院分区一区，SCI引用26次
4. Xin Luo*（罗辛）, 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. IEEE Transactions on Neural Networks and Learning Systems, 2016, 27(3):524-537. IF=7.982，中科院分区一区，SCI引用63次
5. Xin Luo*（罗辛）, MengChu Zhou, Yunni Xia, Qingsheng Zhu, Ahmed Chiheb Ammari, and Ahmed Alabdulwahab. Generating Highly Accurate Predictions for Missing QoS-data via Aggregating Non-negative Latent Factor Models. IEEE Transactions on Neural Networks and Learning Systems, 2016, 27(3):579-592. IF=7.982，中科院分区一区，SCI引用52次
6. Xin Luo*（罗辛）, MengChu Zhou, Yunni Xia, and Qingsheng Zhu. An Incremental-and-Static-Combined Scheme for Matrix-Factorization-Based Collaborative Filtering. IEEE Transactions on Automation Science and Engineering, 2016, 13(1):333-343. IF=3.667，中科院分区二区，SCI引用39次
7. Xin Luo*（罗辛）, MengChu Zhou, Shuai Li, Zhuhong You, Yunni Xia, Qingsheng Zhu, and Hareton Leung. An Efficient Second-order Approach to Factorizing Sparse Matrices in Recommender Systems. IEEE Transactions on Industrial Informatics, 2015, 11(4): 946-956. IF=5.430，中科院分区一区，SCI引用38次
8. Xin Luo*（罗辛）, MengChu Zhou, Yunni Xia, and Qingsheng Zhu. An Efficient Non-negative Matrix-factorization-based Approach to Collaborative-filtering for Recommender Systems. IEEE Transactions on Industrial Informatics, 2014, 10(2): 1273-1284. IF=5.430，中科院分区一区，SCI引用138次，ESI高被引
9. Xin Luo（罗辛）, Hao Wu, MengChu Zhou* and Huaqiang Yuan*. Temporal Pattern-aware QoS Prediction via Biased Non-negative Latent Factorization of Tensors. IEEE Transactions on Cybernetics, DOI 10.1109/TCYB.2019.2903736. IF=8.803，中科院分区一区
10. Xin Luo#,*（罗辛）, MengChu Zhou*, Shuai Li, Lun Hu#, and Mingsheng Shang, Non-negativity Constrained Missing Data Estimation for High-dimensional and Sparse Matrices from Industrial Applications. IEEE Transactions on Cybernetics, DOI 10.1109/TCYB.2018.2894283. IF=8.803，中科院分区一区
11. Xin Luo*（罗辛）, MengChu Zhou, Zidong Wang, Yunni Xia, and Qingsheng Zhu. An Effective QoS Estimating Scheme via Alternating Direction Method-based Matrix Factorization, IEEE Transactions on Services Computing, DOI 10.1109/TSC.2016.2597829. IF=4.418，中科院分区一区
12. Xin Luo#（罗辛）, Dexian Wang#, MengChu Zhou*, and Huanqiang Yuan*. Latent Factor-based Recommenders Relying on Extended Stochastic Gradient Descent Algorithms. IEEE Transactions on System Man Cybernetics: Systems, DOI 10.1109/TSMC.2018.2884191. IF=5.135，中科院分区二区
13. Xin Luo#,*（罗辛）, Zhigang Liu#, Shuai Li, Mingsheng Shang, and Zidong Wang, A Fast Non-negative Latent Factor Model based on Generalized Momentum Method. IEEE Transactions on System Man Cybernetics: Systems, DOI 10.1109/TSMC.2018.2875452. IF=5.135，中科院分区二区
14. Xin Luo*（罗辛）, MengChu Zhou, Shuai Li, and Mingsheng Shang*. Algorithms of Unconstrained Non-negative Latent Factor Analysis for Recommender Systems, IEEE Transactions on Big Data, DOI 10.1109/TBDATA.2019.2916868.
15. Shuai Li#, MengChu Zhou*, and Xin Luo*,#（罗辛）. Modified Primal-Dual Neural Networks for Motion Control of Redundant Manipulators With Dynamic Rejection of Harmonic Noises. IEEE Transactions on Neural Networks and Learning Systems, 2018, 29 (10): 4791-4801. IF=7.982，中科院分区一区，SCI引用30次，ESI高被引
16. Long Jin, Shuai Li*, Hung Manh La, and Xin Luo*,#（罗辛）. Manipulability Optimization of Redundant Manipulators Using Dynamic Neural Networks. IEEE Transactions on Industrial Electronics, 2017, 64(6): 4710-4720. IF=7.050，中科院分区一区，SCI引用54次，ESI高被引
17. Lun Hu, Xiaohui Yuan, Xing Liu, Shengwu Xiong*, and Xin Luo*（罗辛）. Efficiently Detecting Protein Complexes from Protein Interaction Networks via Alternating Direction Method of Multipliers. IEEE/ACM Transactions on Computational Biology and Bioinformatics, DOI 10.1109/TCBB.2018.2844256. IF=2.428，中科院分区二区，SCI引用1次
18. Yan Song, Ming Li, Xin Luo*（罗辛）, Guisong Yang and Chongjing Wang. Improved Symmetric and Nonnegative Matrix Factorization Models for Undirected, Sparse and Large-Scaled Networks: A Triple Factorization-Based Approach, IEEE Transactions on Industrial Informatics, DOI 10.1109/TII.2019.2908958. IF=5.430，中科院分区一区
19. Lun Hu, Pengwei Hu, Xiaohui Yuan, Xin Luo*（罗辛）, and Zhuhong You. Incorporating the Coevolving Information of Substrates in Predicting HIV-1 Protease Cleavage Sites. IEEE/ACM Transactions on Computational Biology and Bioinformatics, DOI 10.1109/TCBB.2019.2914208. IF=2.428，中科院分区二区
20. Di Wu#, Xin Luo#（罗辛）, Guoyin Wang*, Mingsheng Shang*, Ye Yuan and Huyong Yan. A Highly-Accurate Framework for Self-Labeled Semi-Supervised Classification in Industrial Applications, IEEE Transactions on Industrial Informatics, 2018, 14(3):909-920. IF=5.430，中科院分区一区，SCI引用8次
21. Long Jin#,*, Shuai Li#,*, Xin Luo#（罗辛）, Yangming Li, and Bin Qin. Neural Dynamics for Cooperative Control of Redundant Robot Manipulators. IEEE Transactions on Industrial Informatics, 2018, 14 (9): 3812-3821. IF=5.430，中科院分区一区，SCI引用25次，ESI高被引
22. Yinyan Zhang#, Shuai Li, Jie Gui, and Xin Luo#（罗辛）. Velocity-Level Control with Compliance to Acceleration-Level Constraints: A Novel Scheme for Manipulator Redundancy Resolution, IEEE Transactions on Industrial Informatics, 2018, 14(3):921-930. IF=5.430，中科院分区一区，SCI引用10次
23. Huiyan Lu#, Long Jin*, Xin Luo#（罗辛）, Bolin Liao, Dongsheng Guo, and Lin Xiao. RNN for Solving Perturbed Time-Varying Underdetermined Linear System with Double Bound Limits on Residual Errors and State Variables, IEEE Transactions on Industrial Informatics, DOI 10.1109/TII.2019.2909142. IF=5.430，中科院分区一区
24. ZhuhongYou, MengChu Zhou, Xin Luo（罗辛）, Shuai Li. Highly Efficient Framework for Predicting Interactions Between Proteins. IEEE Transactions on Cybernetics, 2017, 47(3): 721-733. IF=8.803，中科院分区一区，SCI引用18次
25. Shuai Li, ZhuhongYou, Hongliang Guo, Xin Luo（罗辛）, Zhongqiu Zhao. Inverse-free Extreme Learning Machine with Optimal Information Updating. IEEE Transactions on Cybernetics, 2016, 46(5): 1229-1241. IF=8.803，中科院分区一区，SCI引用37次
26. Shuai Li, MengChu Zhou, Xin Luo（罗辛）, and ZhuhongYou. Distributed Winner-take-all in Dynamic Networks, IEEE Transactions on Automatic Control, 2016, 62(2): 577-589. IF=5.007，中科院分区二区，SCI引用29次
27. Yunni Xia, MengChu Zhou, Xin Luo（罗辛）, Shanchen Pang, Qingsheng Zhu, Jia Li. Stochastic Modeling and Performance Analysis of Migration-enabled and Error Prone Clouds. IEEE Transactions on Industrial Informatics, 2015, 11(2):495-504. IF=5.430，中科院分区一区，SCI引用27次
28. Yunni Xia, MengChu Zhou, Xin Luo（罗辛）, Shanchen Pang, Qingsheng Zhu. A Stochastic Approach to Analysis of Energy-Aware Dvs-Enabled Cloud Datacenters. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2015, 45(1): 73-83. IF=5.135，中科院分区二区，SCI引用21次
29. Yunni Xia, MengChu Zhou, Xin Luo（罗辛）, Qingsheng Zhu, Jia Li, Yu Huang. Stochastic Modeling and Quality Evaluation of Infrastructure-as-a-Service Clouds. IEEE Transactions on Automation Science and Engineering, 2015, 12(1): 162-170. IF=3.667，中科院分区二区，SCI引用30次
30. Yunni Xia, Xin Luo（罗辛）, Jia Li, Qingsheng Zhu. A Petri-Net-Based Approach to Reliability Determination of Ontology-Based Service Compositions. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2013, 43(5): 1240-1247. IF=5.135，中科院分区二区，SCI引用14次
31. Xin Luo*（罗辛） and Mingsheng Shang. Symmetric Non-negative Latent Factor Models for Undirected Large Networks. In Proc. of the 27th Int. Joint Conf. on Artificial Intelligence 2017, 2435-2442, CCF A类
32. Xin Luo*（罗辛）, Mingsheng Shang and Shuai Li. Efficient Extraction of Non-negative Latent Factors from High-Dimensional and Sparse Matrices in Industrial Applications. In Proc. of the 16th IEEE Int. Conf. on Data Mining 2016: 311-319, CCF B类
