罗辛，工学博士、研究员、博士生导师、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。罗辛博士的学术研究聚焦大数据智能计算领域不完备数据表征学习方向，在IEEE T. KDE、CYB、NNLS、II、SC、SMC Systems、ASE等国际期刊和WWW、ICDM、IJCAI等国际会议上发表学术论文140余篇（SCI检索>100篇，其中计算机领域权威IEEE汇刊论文58篇、ESI高被引论文11篇），累计影响因子>500，Web of Science统计引用>2500次，谷歌学术统计引用>3600次。获国家发明专利授权23项、实现19项授权专利的成果转化，累积产生经济效益超过6000万元。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。获国家高层次人才特殊支持计划、中国科学院高层次人才计划、重庆市杰出青年基金等人才项目支持。获重庆市自然科学一等奖（2019/排名1）、重庆市科技进步一等奖（2018/排名2）、中国人工智能学会吴文俊人工智能科技进步一等奖（2018/排名3）等科技奖励。目前担任中国科技期刊卓越行动计划重点类和SCI JCR一区期刊IEEE/CAA Journal of Automatica Sinica的预审编辑和副编辑、SCI JCR一区期刊Neurocomputing、IEEE Access和SCI JCR二区期刊Softcomputing、Frontiers in Neurorobotics的副编辑。罗辛博士发表的主要论文列表如下（*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=11.079，中科院JCR分区一区，SCI引用60次，ESI高被引

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=9.112，中科院JCR分区一区，SCI引用50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=9.112，中科院JCR分区一区，SCI引用49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=8.793，中科院JCR分区一区，SCI引用113次，ESI高被引

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=8.793，中科院JCR分区一区，SCI引用95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=4.938，中科院JCR分区二区，SCI引用56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=9.112，中科院JCR分区一区，SCI引用46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=9.112，中科院JCR分区一区，SCI引用225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, 2020, 50(5): 1798-1809. IF=11.079，中科院JCR分区一区，SCI引用23次，ESI高被引

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, 2020, 50(5): 1844-1855. IF=11.079，中科院JCR分区一区，SCI引用5次

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, 2019, 12(4): 503-518. IF=5.823，中科院JCR分区一区，SCI引用42次，ESI高被引

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=9.309，中科院JCR分区一区

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=9.309，中科院JCR分区一区

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. Xin Luo（罗辛）, Zidong Wang*, and Mingsheng Shang*. An Instance-frequency-weighted Regularization Scheme for Non-negative Latent Factor Analysis on High Dimensional and Sparse Data. IEEE Transactions on System Man Cybernetics: Systems, DOI: 10.1109/TSMC.2019.2930525. IF=9.309，中科院JCR分区一区

16. Xin Luo#（罗辛）, Ye Yuan#, MengChu Zhou*, Zhigang Liu, and Mingsheng Shang*. Non-negative Latent Factor Model based on β-divergence for Recommender Systems. IEEE Transactions on System Man Cybernetics: Systems, DOI: 10.1109/TSMC.2019.2931468. IF=9.309，中科院JCR分区一区

17. Xin Luo（罗辛）, Ye Yuan, Sili Chen, Nianyin Zeng, and Zidong Wang. Position-Transitional Particle Swarm Optimization-Incorporated Latent Factor Analysis, IEEE Transactions on Knowledge and Data Engineering, DOI: 10.1109/TKDE.2020.3033324. IF=4.935，中科院JCR分区二区

18. Xin Luo（罗辛）, Minzhi Chen, Hao Wu, Zhigang Liu, Huaqiang Yuan*, and MengChu Zhou*. Adjusting Learning Depth in Non-negative Latent Factorization of Tensors for Accurately Modeling Temporal Patterns in Dynamic QoS Data, IEEE Transactions on Automation Science and Engineering, DOI: 10.1109/TASE.2020.3040400. IF=4.938，中科院JCR分区二区

19. Xin Luo（罗辛）, Zhigang Liu, Long Jin*, Yue Zhou, and MengChu Zhou*. Symmetric Non-negative Matrix Factorization-based Community Detection Models and Their Convergence Analysis. IEEE Transactions on Neural Networks and Learning Systems, DOI: 10.1109/TNNLS.2020.3041360. IF=8.793，中科院JCR分区一区

20. Xin Luo（罗辛）, Zhigang Liu, Mingsheng Shang, Jungang Lou*, and MengChu Zhou*. Highly-Accurate Community Detection via Pointwise Mutual Information-Incorporated Symmetric Non-negative Matrix Factorization, IEEE Transactions on Network Science and Engineering, DOI: 10.1109/TNSE.2020.3040407. IF=5.213

21. Di Wu#, Xin Luo#,*（罗辛）, Mingsheng Shang, Yi He, Guoyin Wang, and Xindong Wu. A Data-Characteristic-Aware Latent Factor Model for Web Services QoS Prediction, IEEE Transactions on Knowledge and Data Engineering, DOI: 10.1109/TKDE.2020.3014302. IF=4.935，中科院JCR分区二区

22. Di Wu#, Qiang He, Xin Luo*（罗辛）, Mingsheng Shang#, Yi He, and Guoyin Wang. A Posterior-neighborhood-regularized Latent Factor Model for Highly Accurate Web Service QoS Prediction, IEEE Transactions on Services Computing, DOI: 10.1109/TSC.2019.2961895. IF=5.823，中科院JCR分区一区

23. Di Wu#, Xin Luo*（罗辛）, Mingsheng Shang#, Yi He, Guoyin Wang, and Mengchu Zhou. A Deep Latent Factor Model for High-Dimensional and Sparse Matrices in Recommender Systems. IEEE Transactions on System Man Cybernetics: Systems, DOI: 10.1109/TSMC.2019.2931393. IF=9.309，中科院JCR分区一区

24. 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=8.793，中科院JCR分区一区，SCI引用34次

25. 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=7.515，中科院JCR分区一区，SCI引用114次，ESI高被引

26. 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, 2019, 16(6): 1922-1935. IF=3.015，中科院JCR分区二区，SCI引用3次

27. 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, 2020, 16(5): 3006-3017. IF=9.112，中科院JCR分区一区，SCI引用12次

28. 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, 2020, 17(6): 2017-2028. IF=3.015，中科院JCR分区二区

29. Zhigang Liu, Xin Luo*（罗辛）, and Zidong Wang. Convergence Analysis of Single Latent Factor-dependent, Non-negative and Multiplicative Update-based Non-negative Latent Factor Models. IEEE Transactions on Neural Networks and Learning Systems, DOI: 10.1109/TNNLS.2020.2990990. IF=8.793，中科院JCR分区一区

30. Weiling Li#, Qiang He#, Xin Luo*（罗辛）, and Zidong Wang. Assimilating Second-Order Information for Building Non-Negative Latent Factor Analysis-Based Recommenders. IEEE Transactions on System Man Cybernetics: Systems, DOI: 10.1109/TSMC.2020.3002762. IF=9.309，中科院JCR分区一区

31. Long Jin*,#, Jiazheng Zhang#, Xin Luo*（罗辛）, Mei Liu#, Shuai Li#, Lin Xiao, and Zihao Yang. Perturbed Manipulability Optimization in A Distributed Network of Redundant Robots. IEEE Transactions on Industrial Electronics, DOI: 10.1109/TIE.2020.3007099. IF=7.515，中科院JCR分区一区

32. Lun Hu#, Sicheng Yan#, Xin Luo*（罗辛）, and MengChu Zhou. An Algorithm of Inductively Identifying Clusters from Attributed Graphs, IEEE Transactions on Big Data, DOI: 10.1109/TBDATA.2020.2964544.

33. Xiaoyu Shi#, Qiang He#, Xin Luo*（罗辛）, Yanan Bai, and Mingsheng Shang#. Large-scale and Scalable Latent Factor Analysis via Distributed Alternative Stochastic Gradient Descent for Recommender Systems, IEEE Transactions on Big Data, DOI: 10.1109/TBDATA.2020.2973141.

34. Hao Wu#, Xin Luo*（罗辛）, and MengChu Zhou#. Advancing Non-negative Latent Factorization of Tensors with Diversified Regularizations, IEEE Transactions on Services Computing, DOI: 10.1109/TSC.2020.2988760. IF=5.823，中科院JCR分区一区

35. Yurong Zhong, Long Jin, Mingsheng Shang, and Xin Luo*（罗辛）, MengChu Zhou, Shuai Li, and Mingsheng Shang*. Momentum-incorporated Symmetric Non-negative Latent Factor Models, IEEE Transactions on Big Data, DOI 10.1109/TBDATA.2020.3012656.

36. Ye Yuan#, Qiang He#, Xin Luo#,*（罗辛）, and Mingsheng Shang*. A Multilayered-and-Randomized Latent Factor Model for High-Dimensional and Sparse Matrices, IEEE Transactions on Big Data, DOI: 10.1109/TBDATA.2020.2988778.

37. Mingsheng Shang, Ye Yuan, Xin Luo*（罗辛）, and Mengchu Zhou. An α-β-divergence-generalized Recommender for Highly-accurate Predictions of Missing User Preferences, IEEE Transactions on Cybernetics, DOI: 10.1109/TCYB.2020.3026425. IF=11.079，中科院JCR分区一区

38. Yimeng Qi#, Long Jin#,*, Xin Luo*（罗辛）, and MengChu Zhou. Recurrent Neural Dynamics Models for Perturbed Nonstationary Quadratic Programs: A Control-theoretical Perspective. IEEE Transactions on Neural Networks and Learning Systems, DOI: 10.1109/TNNLS.2020.3041364. IF=8.793，中科院JCR分区一区

39. Zhengtai Xie#, Long Jin#,*, Xin Luo*（罗辛）, Zhongbo Sun, and Mei Liu. RNN for Repetitive Motion Generation of Redundant Robot Manipulators: An Orthogonal Projection Based Scheme. IEEE Transactions on Neural Networks and Learning Systems, DOI: 10.1109/TNNLS.2020.3028304. IF=8.793，中科院JCR分区一区

40. Qinglan Peng, Yunni Xia*, MengChu Zhou, Xin Luo*（罗辛）, Shu Wang, Yuandou Wang, Chunrong Wu, Shanchen Pang, and Mingwei Lin. Reliability-Aware and Deadline-Constrained Mobile Service Composition Over Opportunistic Networks. IEEE Transactions on Automation Science and Engineering, DOI: 10.1109/TASE.2020.2993218. IF=4.938，中科院JCR分区二区

41. Ameer Hamza Khan, Shuai Li*, and Xin Luo*（罗辛）. Obstacle Avoidance and Tracking Control of Redundant Robotic Manipulator: An RNN based Metaheuristic Approach, IEEE Transactions on Industrial Informatics, 2020, 16(7): 4670-4680. IF=9.112，中科院JCR分区一区，SCI引用3次

42. Dechao Chen#, Shuai Li, Qing Wu, and Xin Luo#（罗辛）. New Disturbance Rejection Constraint for Redundant Robot Manipulators: An Optimization Perspective, IEEE Transactions on Industrial Informatics, 2020, 16(4): 2221-2232. IF=9.112，中科院JCR分区一区，SCI引用14次，ESI高被引

43. 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=9.112，中科院JCR分区一区，SCI引用14次

44. 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=9.112，中科院JCR分区一区，SCI引用60次，ESI高被引

45. Zhengtai Xie#, Long Jin*,#, Xin Luo#（罗辛）, Shuai Li, and Xiuchun Xiao. A Data-Driven Cyclic-Motion Generation Scheme for Kinematic Control of Redundant Manipulators. IEEE Transactions on Control Systems Technology, DOI: 10.1109/TCST.2019.2963017. IF=5.371，中科院JCR分区二区

46. 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=9.112，中科院JCR分区一区，SCI引用19次

47. 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, 2019, 15(11):5931-5942. IF=9.112，中科院JCR分区一区，SCI引用10次

48. 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=11.079，中科院JCR分区一区，SCI引用39次

49. 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=11.079，中科院JCR分区一区，SCI引用57次

50. 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=5.625，中科院JCR分区二区，SCI引用44次

51. 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=9.112，中科院JCR分区一区，SCI引用41次

52. 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=9.309，中科院JCR分区一区，SCI引用34次

53. 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=4.938，中科院JCR分区二区，SCI引用53次

54. 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=9.309，中科院JCR分区一区，SCI引用22次

55. Mingsheng Shang#, Xin Luo#,*（罗辛）, Zhigang Liu, Jia Chen, Ye Yuan, and MengChu Zhou*, Randomized Latent Factor Model for High-dimensional and Sparse Matrices from Industrial Applications, IEEE/CAA Journal of Automatica Sinica, 2019, 6(1): 131-141 IF=5.129，SCI引用15次

56. Xin Luo#（罗辛）, Wen Qin#, Ani Dong, Khaled Sedraoui, and MengChu Zhou*, Efficient and High-quality Recommendations via Momentum-incorporated Parallel Stochastic Gradient Descent-based Learning, IEEE/CAA Journal of Automatica Sinica, DOI: 10.1109/JAS.2020.1003321. IF=5.129

57. Zhibin Li, Shuai Li, and Xin Luo*（罗辛）, An Overview of Calibration Technology of Industrial Robots, IEEE/CAA Journal of Automatica Sinica, DOI: 10.1109/JAS.2020.1003318. IF=5.129

58. Di Wu, and Xin Luo*（罗辛）, Robust Latent Factor Analysis for Precise Represen-tation of High-dimensional and Sparse Data, IEEE/CAA Journal of Automatica Sinica, DOI: 10.1109/JAS.2020.1003533. IF=5.129

59. Xin Luo（罗辛） and MengChu Zhou*. Effects of Extended Stochastic Gradient Descent Algorithms on Improving Latent Factor-based Recommender Systems. IEEE Robotics and Automation Letters, 2019, 4(2): 618-624. IF=3.608，SCI引用1次

60. 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 (IJCAI 2017), 2435-2442 (Regular)

61. 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 (ICDM 2016): 311-319 (Regular)

62. Ye Yuan, Xin Luo*（罗辛）, Mingsheng Shang, and Di Wu. A Generalized and Fast-converging Non-negative Latent Factor Model for Predicting User Preferences in Recommender Systems. In Proc. of the 29th Int. Conf. on World Wide Web 2020 (WWW 2020)

63. Ye Yuan, Mingsheng Shang, and Xin Luo*（罗辛）. Temporal Web Service QoS Prediction via Kalman Filter-Incorporated Dynamic Latent Factor Analysis. In Proc. of the 24th Eur. Conf. on Artificial Intelligence 2020 (ECAI 2020)

64. Di Wu, Long Jin and Xin Luo*（罗辛）. PMLF: Prediction-Sampling-based Multilayer-Structured Latent Factor Analysis. In Proc. of the 19th IEEE Int. Conf. on Data Mining 2020 (ICDM 2020) (Regular)

65. Weiling Li and Xin Luo*（罗辛）. A Generalized-Momentum-Accelerated Hessian-Vector Algorithm for High-Dimensional and Sparse Data. In Proc. of the 19th IEEE Int. Conf. on Data Mining 2020 (ICDM 2020) (Short)