罗辛

 

 

性别：男         最高学位：工学博士        博导/硕导：博导

邮箱：luoxin21@cigit.ac.cn

 

个人简介：

罗辛，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、大数据智能计算重庆市重点实验室执行主任。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（IEEE汇刊论文SCI检索>100篇、其中计算机领域IEEE汇刊论文58篇、ESI高被引论文11篇），累积影响因子>500，Web of Science统计引用>2000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。

 

教育经历：

2005.09~2011.01，北京航空航天大学，计算机应用技术，硕博连读

2001.09~2005.07，电子科技大学，计算机应用技术，学士

 

主要研究方向：

数据科学与机器智能

 

招生专业：

计算机科学与技术、人工智能、数据科学

 

科研成果（含文章、专利、科研项目等）：

论文：在IEEE T. NNLS、IEEE T. Cybernetics、IEEE T. II、IEEE T. SMC Systems、IJCAI等国际期刊和会议上发表学术论文>120篇，部分代表性论文如下：

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，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，中科院分区二区

18.   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，中科院分区二区

19.   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，中科院分区一区

20.   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，中科院分区一区

21.   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，中科院分区一区，SCI引用34次

22.   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，中科院分区一区，SCI引用114次，ESI高被引

23.   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， SCI引用3次

24.   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，中科院分区一区，SCI引用12次

25.   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=3.015.

26.   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，中科院分区一区

27.   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，中科院分区一区

28.   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，中科院分区一区

29.   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.

30.   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.

31.   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，中科院分区一区

32.   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.

33.   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.

34.   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. IF=11.079，中科院分区一区

35.   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，中科院分区一区

36.   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.

37.   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，中科院分区一区，SCI引用10次，ESI高被引

38.   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，中科院分区一区，SCI引用14次

39.   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，中科院分区一区，SCI引用60次，ESI高被引

40.   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。

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，中科院分区一区，SCI引用3次

42.   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，中科院分区一区，SCI引用19次

43.   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，中科院分区一区，SCI引用10次

44.   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，中科院分区一区，SCI引用39次

45.   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，中科院分区一区，SCI引用57次

46.   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，SCI引用44次

47.   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，中科院分区一区，SCI引用41次

48.   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，中科院分区一区，SCI引用34次

49.   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，SCI引用53次

50.   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，中科院分区一区，SCI引用22次

51.   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

52.   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

53.   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

54.   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

55.   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)

56.   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)

57.   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)

58.   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)

59.   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)

60.   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)

 

专利：申请国家发明专利36项，获权23项，部分授权专利如下：

1.      一种协同过滤推荐模型中调整学习速率的方法，ZL201210168756.8

2.      一种基于权重支持率的高通量筛选数据噪声抑制方法和装置，ZL201510087545.5

3.      一种特征抽取方法和装置，ZL201410013846.9

4.      一种用户-商品点击率自适应预测装置和预测方法，ZL201310162681.7

5.      一种基于非负交替方向变换的用户特征抽取方法及抽取装置，ZL201510087359.1

 

科研项目：累积负责科研经费超过3000万元，主要主持项目如下：

1.贿赂犯罪社会关系网络的多粒度分析技术研究，724万，2017.07-2020.06，科技部，国家重点研发计划课题，主持

2.高维稀疏数据分析理论研究，280万，2016.01-2021.12，中科院，中国科学院人才计划项目，主持

3.基于隐特征分析的信息推荐技术研究，66万，2018.01-2021.12，国家自然科学基金委员会，国家自然科学基金面上项目，主持

4.高维稀疏张量分析技术研究，50万，2019.06-2022.06，重庆市科技局，重庆市自然科学基金杰出青年基金项目，主持

5.高维稀疏张量分析技术研究，45万，2017.07-2019.05，中共重庆市委组织部人才工作处，重庆市特支计划青年拔尖人才项目，主持

6.大数据智能计算创新创业示范团队，30万，2017.12-2019.05，重庆市科技局，重庆市创新创业示范团队带头人支持项目，主持

7.增量协同过滤模型研究，25万，2013.03-2015.12，国家自然科学基金委员会，国家自然科学基金青年项目，主持

8.基于大数据学习的云服务QoS分析与预测技术研究，10万，2016.04-2018.03，国家自然科学基金委员会，国家自然科学基金-英国皇家学会国际合作交流项目，主持

9.基于稀疏神经网络的多机器人协作机制研究，20万，2015.04-2017.04，重庆市科学技术委员会，重庆市创新青年科技人才培养项目，主持

10.万佳安-中科院重庆研究院AIoT大数据联合实验室，260万，2018.07-2023.07，深圳万佳安物联科技有限公司委托横向项目，主持

 

所获荣誉：

1.2020年，国家高层次人才特殊支持计划

2.2020年，SCI检索、科技部卓越期刊行动计划重点期刊《IEEE/CAA Journal of Automatica Sinica》杰出副编辑奖

3.2019年，重庆市自然科学一等奖：高维稀疏大数据智能分析理论与方法，罗辛、李伟生、尚明生、曾念寅、夏云霓。中国科学院重庆绿色智能技术研究院、重庆邮电大学、厦门大学

4.2019年，重庆市自然科学基金杰出青年基金

5.2019年，重庆市青年专家工作室领衔专家

6.2018年，重庆市科技进步一等奖：智慧金融集成生物识别关键技术及应用，周曦、罗辛、张小洪、李鹏华、李伟生、尚明生、肖斌、姚志强、王洪星、陈琳、周吉祥、李嫄源、朱智勤、周翔、温浩。重庆中科云丛科技有限公司、中国科学院重庆绿色智能技术研究院、重庆邮电大学、重庆大学、广州云从信息科技有限公司

7.2018年，中国人工智能学会吴文俊人工智能科技进步一等奖：智慧金融中的集成生物识别关键技术及应用，周曦、王国胤、罗辛、李伟生、尚明生、肖斌、夏云霓、姚志强、周吉祥、周丽芳、袁野、吴全旺、周翔、胡峰、温浩。重庆中科云丛科技有限公司、重庆邮电大学、中国科学院重庆绿色智能技术研究院、重庆大学、广州云从信息科技有限公司

8.2018年，中国科学院高层次人才支持计划

9.201年，中国科学院重庆绿色智能技术研究院大数据挖掘与应用中心副主任

10.2018年，SCI检索期刊《IEEE Access》（中科院二区）杰出副编辑奖

11.2017年，重庆市市级创新创业示范团队：大数据智能计算创新团队带头人

12.2017年，IEEE学会高级会员

13.2017年，SCI检索、科技部卓越期刊行动计划重点期刊《IEEE/CAA Journal of Automatica Sinica》预审编辑、副编辑

14.2017年，重庆市第三批高层次人才特殊支持计划青年拔尖人才

15.2017年，大数据智能计算重庆市重点实验室执行主任

16.2016年，SCI检索期刊《IEEE Access》（中科院二区）副编辑

17.2016年，SCI检索期刊《Neurocomputing》（中科院二区）副编辑

18.2015年，ACMACM中国学术新星（重庆分会）奖

19.2014年，SCI检索期刊《Frontiers of Computer Science in China》青年编委（李未院士主编），2014年获评优秀青年编委