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羅辛，工學(xué)博士、研究員、博士生導師、中國科學(xué)院重慶綠色智能技術(shù)研究大數據挖掘與應用中心副主任。羅辛博士的學(xué)術(shù)研究聚焦大數據智能計算領(lǐng)域不完備數據表征學(xué)習方向，在IEEE T. KDE、CYB、NNLS、II、SC、SMC Systems、ASE等國際期刊和WWW、ICDM、IJCAI等國際會(huì )議上發(fā)表學(xué)術(shù)論文140余篇（SCI檢索>100篇，其中計算機領(lǐng)域權威IEEE匯刊論文58篇、ESI高被引論文11篇），累計影響因子>500，Web of Science統計引用>2500次，谷歌學(xué)術(shù)統計引用>3600次。獲國家發(fā)明專(zhuān)利授權23項、實(shí)現19項授權專(zhuān)利的成果轉化，累積產(chǎn)生經(jīng)濟效益超過(guò)6000萬(wàn)元。先后主持國家級項目5項，省部級項目10余項，累積負責科研經(jīng)費超過(guò)3000萬(wàn)元。獲國家高層次人才特殊支持計劃、中國科學(xué)院高層次人才計劃、重慶市杰出青年基金等人才項目支持。獲重慶市自然科學(xué)一等獎（2019/排名1）、重慶市科技進(jìn)步一等獎（2018/排名2）、中國人工智能學(xué)會(huì )吳文俊人工智能科技進(jìn)步一等獎（2018/排名3）等科技獎勵。目前擔任中國科技期刊卓越行動(dòng)計劃重點(diǎn)類(lèi)和SCI JCR一區期刊IEEE/CAA Journal of Automatica Sinica的預審編輯和副編輯、SCI JCR一區期刊Neurocomputing、IEEE Access和SCI JCR二區期刊Softcomputing、Frontiers in Neurorobotics的副編輯。羅辛博士發(fā)表的主要論文列表如下（*號表示通訊作者，#號表示共同第一作者）：

1.      Xin Luo*（羅辛）, 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分區一區，SCI引用60次，ESI高被引

2.      Xin Luo*（羅辛）, 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分區一區，SCI引用50次

3.      Xin Luo*（羅辛）, 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分區一區，SCI引用49次

4.      Xin Luo*（羅辛）, 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分區一區，SCI引用113次，ESI高被引

5.      Xin Luo*（羅辛）, 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分區一區，SCI引用95次

6.      Xin Luo*（羅辛）, 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分區二區，SCI引用56次

7.      Xin Luo*（羅辛）, 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分區一區，SCI引用46次

8.      Xin Luo*（羅辛）, 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分區一區，SCI引用225次，ESI高被引

9.      Xin Luo（羅辛）, 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分區一區，SCI引用23次，ESI高被引

10. Xin Luo#,*（羅辛）, 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分區一區，SCI引用5次

11. Xin Luo*（羅辛）, 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分區一區，SCI引用42次，ESI高被引

12. Xin Luo#（羅辛）, 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分區一區

13. Xin Luo#,*（羅辛）, 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分區一區

14. Xin Luo*（羅辛）, 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（羅辛）, 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分區一區

16. Xin Luo#（羅辛）, Ye Yuan#, MengChu Zhou*, Zhigang Liu, and Mingsheng Shang*. Non-negative Latent Factor Model based on -divergence for Recommender Systems. IEEE Transactions on System Man Cybernetics: Systems, DOI: 10.1109/TSMC.2019.2931468. IF=9.309，中科院JCR分區一區

17. Xin Luo（羅辛）, 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分區二區

18. Xin Luo（羅辛）, 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分區二區

19. Xin Luo（羅辛）, 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分區一區

20. Xin Luo（羅辛）, 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#,*（羅辛）, 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分區二區

22. Di Wu#, Qiang He, Xin Luo*（羅辛）, 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分區一區

23. Di Wu#, Xin Luo*（羅辛）, 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分區一區

24. Shuai Li#, MengChu Zhou*, and Xin Luo*,#（羅辛）. 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分區一區，SCI引用34次

25. Long Jin, Shuai Li*, Hung Manh La, and Xin Luo*,#（羅辛）. 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分區一區，SCI引用114次，ESI高被引

26. Lun Hu, Xiaohui Yuan, Xing Liu, Shengwu Xiong*, and Xin Luo*（羅辛）. 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分區二區，SCI引用3次

27. Yan Song, Ming Li, Xin Luo*（羅辛）, 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分區一區，SCI引用12次

28. Lun Hu, Pengwei Hu, Xiaohui Yuan, Xin Luo*（羅辛）, 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分區二區

29. Zhigang Liu, Xin Luo*（羅辛）, 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分區一區

30. Weiling Li#, Qiang He#, Xin Luo*（羅辛）, 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分區一區

31. Long Jin*,#, Jiazheng Zhang#, Xin Luo*（羅辛）, 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分區一區

32. Lun Hu#, Sicheng Yan#, Xin Luo*（羅辛）, 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*（羅辛）, 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*（羅辛）, 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分區一區

35. Yurong Zhong, Long Jin, Mingsheng Shang, and Xin Luo*（羅辛）, 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#,*（羅辛）, 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*（羅辛）, and Mengchu Zhou. An - -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分區一區

38. Yimeng Qi#, Long Jin#,*, Xin Luo*（羅辛）, 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分區一區

39. Zhengtai Xie#, Long Jin#,*, Xin Luo*（羅辛）, 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分區一區

40. Qinglan Peng, Yunni Xia*, MengChu Zhou, Xin Luo*（羅辛）, 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分區二區

41. Ameer Hamza Khan, Shuai Li*, and Xin Luo*（羅辛）. 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分區一區，SCI引用3次

42. Dechao Chen#, Shuai Li, Qing Wu, and Xin Luo#（羅辛）. 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分區一區，SCI引用14次，ESI高被引

43. Di Wu#, Xin Luo#（羅辛）, 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分區一區，SCI引用14次

44. Long Jin#,*, Shuai Li#,*, Xin Luo#（羅辛）, 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分區一區，SCI引用60次，ESI高被引

45. Zhengtai Xie#, Long Jin*,#, Xin Luo#（羅辛）, 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分區二區

46. Yinyan Zhang#, Shuai Li, Jie Gui, and Xin Luo#（羅辛）. 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分區一區，SCI引用19次

47. Huiyan Lu#, Long Jin*, Xin Luo#（羅辛）, 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分區一區，SCI引用10次

48. ZhuhongYou, MengChu Zhou, Xin Luo（羅辛）, 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分區一區，SCI引用39次

49. Shuai Li, ZhuhongYou, Hongliang Guo, Xin Luo（羅辛）, 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分區一區，SCI引用57次

50. Shuai Li, MengChu Zhou, Xin Luo（羅辛）, 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分區二區，SCI引用44次

51. Yunni Xia, MengChu Zhou, Xin Luo（羅辛）, 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分區一區，SCI引用41次

52. Yunni Xia, MengChu Zhou, Xin Luo（羅辛）, 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分區一區，SCI引用34次

53. Yunni Xia, MengChu Zhou, Xin Luo（羅辛）, 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分區二區，SCI引用53次

54. Yunni Xia, Xin Luo（羅辛）, 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分區一區，SCI引用22次

55. Mingsheng Shang#, Xin Luo#,*（羅辛）, 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#（羅辛）, 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*（羅辛）, 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*（羅辛）, 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（羅辛） 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（羅辛） 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（羅辛）, 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*（羅辛）, 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*（羅辛）. 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*（羅辛）. 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*（羅辛）. 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)