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ORCIDXin Luo 0001
Person information
- affiliation: Dongguan University of Technology, China
- affiliation: Chinese Academy of Sciences, Chongqing Institute of Green and Intelligent Technology, China
- affiliation (former): Chongqing University, College of Computer Science, China
- affiliation (PhD 2011): Beihang University, Beijing, China
Other persons with the same name
- Xin Luo — disambiguation page
- Xin Luo 0002
![[0000-0001-9199-3631]](https://dblp.org/img/orcid-mark.12x12.png "0000-0001-9199-3631")
— Arizona State University, Speech and Hearing Science, Tempe, AZ, USA (and 3 more) - Xin Luo 0003 — Tongji University, College of Surveying and Geo-informatics, Shanghai, China
- Xin Luo 0004 — Huazhong University of Science and Technology, State Key Laboratory of Digital Manufacturing Equipment and Technology, Wuhan, China
- Xin (Robert) Luo (aka: Xin Robert Luo, Xin Luo 0005) — University of New Mexico, School of Management, Albuquerque, NM, USA (and 1 more)
- Xin Luo 0006 — Shandong University, Jinan, China
- Xin Luo 0007 — Xiamen University, Xiamen, Fujian, China
- Xin Luo 0008 — University of Electronic Science and Technology of China, Yangtze Delta Region Institute, School of Resources and Environment, Huzhou, China
- Xin Luo 0009 — National University of Defense Technology, College of Computer, Changsha, China
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2020 – today
- 2022
[j81]Lun Hu, Shicheng Yang, Xin Luo, Huaqiang Yuan, Khaled Sedraoui, MengChu Zhou:
A Distributed Framework for Large-scale Protein-protein Interaction Data Analysis and Prediction Using MapReduce. IEEE CAA J. Autom. Sinica 9(1): 160-172 (2022)- [j80]Hao Wu, Xin Luo, MengChu Zhou, Muhyaddin J. Rawa, Khaled Sedraoui, Aiiad Albeshri:
A PID-incorporated Latent Factorization of Tensors Approach to Dynamically Weighted Directed Network Analysis. IEEE CAA J. Autom. Sinica 9(3): 533-546 (2022) - [j79]Weiling Li, Qiang He, Xin Luo, Zidong Wang:
Assimilating Second-Order Information for Building Non-Negative Latent Factor Analysis-Based Recommenders. IEEE Trans. Syst. Man Cybern. Syst. 52(1): 485-497 (2022) - 2021
- [j78]Zhibin Li, Shuai Li, Xin Luo:
An overview of calibration technology of industrial robots. IEEE CAA J. Autom. Sinica 8(1): 23-36 (2021) - [j77]Xin Luo, Wen Qin, Ani Dong, Khaled Sedraoui, MengChu Zhou:
Efficient and High-quality Recommendations via Momentum-incorporated Parallel Stochastic Gradient Descent-Based Learning. IEEE CAA J. Autom. Sinica 8(2): 402-411 (2021) - [j76]Di Wu, Xin Luo:
Robust Latent Factor Analysis for Precise Representation of High-Dimensional and Sparse Data. IEEE CAA J. Autom. Sinica 8(4): 796-805 (2021) - [j75]Jiufang Chen, Ye Yuan, Tao Ruan, Jia Chen, Xin Luo:
Hyper-parameter-evolutionary latent factor analysis for high-dimensional and sparse data from recommender systems. Neurocomputing 421: 316-328 (2021) - [j74]Jinli Li, Ye Yuan, Tao Ruan, Jia Chen, Xin Luo:
A proportional-integral-derivative-incorporated stochastic gradient descent-based latent factor analysis model. Neurocomputing 427: 29-39 (2021) - [j73]Qinglan Peng, Yunni Xia, MengChu Zhou, Xin Luo, Shu Wang, Yuandou Wang, Chunrong Wu, Shanchen Pang, Mingwei Lin:
Reliability-Aware and Deadline-Constrained Mobile Service Composition Over Opportunistic Networks. IEEE Trans Autom. Sci. Eng. 18(3): 1012-1025 (2021) - [j72]Xin Luo, Minzhi Chen, Hao Wu, Zhigang Liu, Huaqiang Yuan, MengChu Zhou:
Adjusting Learning Depth in Nonnegative Latent Factorization of Tensors for Accurately Modeling Temporal Patterns in Dynamic QoS Data. IEEE Trans Autom. Sci. Eng. 18(4): 2142-2155 (2021) - [j71]Xin Luo, Mengchu Zhou, Shuai Li, Di Wu, Zhigang Liu, Mingsheng Shang:
Algorithms of Unconstrained Non-Negative Latent Factor Analysis for Recommender Systems. IEEE Trans. Big Data 7(1): 227-240 (2021) - [j70]Zhengtai Xie, Long Jin, Xin Luo, Shuai Li, Xiuchun Xiao:
A Data-Driven Cyclic-Motion Generation Scheme for Kinematic Control of Redundant Manipulators. IEEE Trans. Control. Syst. Technol. 29(1): 53-63 (2021) - [j69]Long Jin, Jiazheng Zhang, Xin Luo, Mei Liu, Shuai Li, Lin Xiao, Zihao Yang:
Perturbed Manipulability Optimization in a Distributed Network of Redundant Robots. IEEE Trans. Ind. Electron. 68(8): 7209-7220 (2021) - [j68]Zhigang Liu, Xin Luo, Zidong Wang:
Convergence Analysis of Single Latent Factor-Dependent, Nonnegative, and Multiplicative Update-Based Nonnegative Latent Factor Models. IEEE Trans. Neural Networks Learn. Syst. 32(4): 1737-1749 (2021) - [j67]Xin Luo, Zhigang Liu, Mingsheng Shang, Jungang Lou, MengChu Zhou:
Highly-Accurate Community Detection via Pointwise Mutual Information-Incorporated Symmetric Non-Negative Matrix Factorization. IEEE Trans. Netw. Sci. Eng. 8(1): 463-476 (2021) - [j66]Lun Hu, Jun Zhang, Xiangyu Pan, Xin Luo, Huaqiang Yuan:
An Effective Link-Based Clustering Algorithm for Detecting Overlapping Protein Complexes in Protein-Protein Interaction Networks. IEEE Trans. Netw. Sci. Eng. 8(4): 3275-3289 (2021) - [j65]Xin Luo, Zhigang Liu, Shuai Li, Mingsheng Shang, Zidong Wang:
A Fast Non-Negative Latent Factor Model Based on Generalized Momentum Method. IEEE Trans. Syst. Man Cybern. Syst. 51(1): 610-620 (2021) - [j64]Xin Luo, Dexian Wang, MengChu Zhou, Huaqiang Yuan:
Latent Factor-Based Recommenders Relying on Extended Stochastic Gradient Descent Algorithms. IEEE Trans. Syst. Man Cybern. Syst. 51(2): 916-926 (2021) - [j63]Xin Luo, Zidong Wang, Mingsheng Shang:
An Instance-Frequency-Weighted Regularization Scheme for Non-Negative Latent Factor Analysis on High-Dimensional and Sparse Data. IEEE Trans. Syst. Man Cybern. Syst. 51(6): 3522-3532 (2021) - [j62]Di Wu, Xin Luo, Mingsheng Shang, Yi He, Guoyin Wang, MengChu Zhou:
A Deep Latent Factor Model for High-Dimensional and Sparse Matrices in Recommender Systems. IEEE Trans. Syst. Man Cybern. Syst. 51(7): 4285-4296 (2021) - [j61]Xin Luo, Ye Yuan, MengChu Zhou, Zhigang Liu, Mingsheng Shang:
Non-Negative Latent Factor Model Based on β-Divergence for Recommender Systems. IEEE Trans. Syst. Man Cybern. Syst. 51(8): 4612-4623 (2021) - [c47]Weiling Li, Xin Luo, MengChu Zhou:
A Generalized Nesterov-Accelerated Hessian-Vector-Based Latent Factor Analysis Model for QoS Prediction. CLOUD 2021: 200-205 - [c46]Wen Qin, Xin Luo, MengChu Zhou:
Adaptive Alternating Stochastic Gradient Descent Algorithms for Large-Scale Latent Factor Analysis. SCC 2021: 285-290 - [c45]Zhigang Liu, Xin Luo, MengChu Zhou:
Symmetry-constrained Non-negative Matrix Factorization Approach for Highly-Accurate Community Detection. CASE 2021: 1521-1526 - [c44]Hao Wu, Xin Luo, MengChu Zhou:
Discovering Hidden Pattern in Large-scale Dynamically Weighted Directed Network via Latent Factorization of Tensors. CASE 2021: 1533-1538 - [c43]Lun Hu, Xiangyu Pan, Xin Luo:
Incorporating Generalized Momentum Method to Accelerate Clustering Analysis of Complex Networks. CASE 2021: 2051-2056 - [c42]Hao Wu, Xin Luo:
Instance-Frequency-Weighted Regularized, Nonnegative and Adaptive Latent Factorization of Tensors for Dynamic QoS Analysis. ICWS 2021: 560-568 - [c41]Weiling Li, Xin Luo:
A Truncated Newton Method-Based Symmetric Non-negative Latent Factor Model for Large-scale Undirected Networks Representation. SMC 2021: 1699-1704 - [c40]Zengmei Zhuo, Xin Luo, MengChu Zhou:
An Auxiliary Learning Task-Enhanced Graph Convolutional Network Model for Highly-accurate Node Classification on Weakly Supervised Graphs. SMDS 2021: 192-197 - 2020
- [j60]Dechao Chen, Shuai Li, Qing Wu, Xin Luo:
Super-twisting ZNN for coordinated motion control of multiple robot manipulators with external disturbances suppression. Neurocomputing 371: 78-90 (2020) - [j59]Jiajia Jiang, Weiling Li, Ani Dong, Quanhui Gou, Xin Luo:
A Fast Deep AutoEncoder for high-dimensional and sparse matrices in recommender systems. Neurocomputing 412: 381-391 (2020) - [j58]Lun Hu, Pengwei Hu, Xin Luo, Xiaohui Yuan, Zhu-Hong You:
Incorporating the Coevolving Information of Substrates in Predicting HIV-1 Protease Cleavage Sites. IEEE ACM Trans. Comput. Biol. Bioinform. 17(6): 2017-2028 (2020) - [j57]Xin Luo, Hao Wu, Huaqiang Yuan, MengChu Zhou:
Temporal Pattern-Aware QoS Prediction via Biased Non-Negative Latent Factorization of Tensors. IEEE Trans. Cybern. 50(5): 1798-1809 (2020) - [j56]Xin Luo, Mengchu Zhou, Shuai Li, Lun Hu, Mingsheng Shang:
Non-Negativity Constrained Missing Data Estimation for High-Dimensional and Sparse Matrices from Industrial Applications. IEEE Trans. Cybern. 50(5): 1844-1855 (2020) - [j55]Dechao Chen, Shuai Li, Qing Wu, Xin Luo:
New Disturbance Rejection Constraint for Redundant Robot Manipulators: An Optimization Perspective. IEEE Trans. Ind. Informatics 16(4): 2221-2232 (2020) - [j54]Yan Song, Ming Li, Xin Luo, Guisong Yang, Chongjing Wang:
Improved Symmetric and Nonnegative Matrix Factorization Models for Undirected, Sparse and Large-Scaled Networks: A Triple Factorization-Based Approach. IEEE Trans. Ind. Informatics 16(5): 3006-3017 (2020) - [j53]Ameer Hamza Khan, Shuai Li, Xin Luo:
Obstacle Avoidance and Tracking Control of Redundant Robotic Manipulator: An RNN-Based Metaheuristic Approach. IEEE Trans. Ind. Informatics 16(7): 4670-4680 (2020) - [c39]Yi Pan, Xiaoning Sun, Yunni Xia, Wanbo Zheng, Xin Luo:
A Predictive-Trend-Aware and Critical-Path-Estimation-Based Method for Workflow Scheduling Upon Cloud Services. SCC 2020: 162-169 - [c38]Ye Yuan, Mingsheng Shang, Xin Luo:
Temporal Web Service QoS Prediction via Kalman Filter-Incorporated Latent Factor Analysis. ECAI 2020: 561-568 - [c37]Xin Luo, Ye Yuan, Di Wu:
Adaptive Regularization-Incorporated Latent Factor Analysis. ICKG 2020: 481-488 - [c36]Di Wu, Long Jin, Xin Luo:
PMLF: Prediction-Sampling-based Multilayer-Structured Latent Factor Analysis. ICDM 2020: 671-680 - [c35]Weiling Li, Xin Luo:
A Generalized-Momentum-Accelerated Hessian-Vector Algorithm for High-Dimensional and Sparse Data. ICDM 2020: 1112-1117 - [c34]Jiufang Chen, Xin Luo, MengChu Zhou:
A Regularization-adaptive Non-negative Latent Factor Analysis-based Model For Recommender Systems. ICHMS 2020: 1-6 - [c33]Qinglan Peng, Yunni Xia, Yan Wang, Chunrong Wu, Xin Luo, Jia Lee:
A Decentralized Reactive Approach to Online Task Offloading in Mobile Edge Computing Environments. ICSOC 2020: 232-247 - [c32]Qinglan Peng, Yunni Xia, Yan Wang, Chunrong Wu, Wanbo Zheng, Xin Luo, Shanchen Pang, Yong Ma, Chunxu Jiang:
A Decentralized Collaborative Approach to Online Edge User Allocation in Edge Computing Environments. ICWS 2020: 294-301 - [c31]Ye Yuan, Xin Luo, Mingsheng Shang, Di Wu:
A Generalized and Fast-converging Non-negative Latent Factor Model for Predicting User Preferences in Recommender Systems. WWW 2020: 498-507
2010 – 2019
- 2019
- [j52]Zhenhua Gan, Fumin Zou, Nianyin Zeng, Baoping Xiong, Lyu-Chao Liao, Han Li, Xin Luo, Min Du:
Wavelet Denoising Algorithm Based on NDOA Compressed Sensing for Fluorescence Image of Microarray. IEEE Access 7: 13338-13346 (2019) - [j51]Nianyin Zeng, Han Li, Yurong Li, Xin Luo:
Quantitative Analysis of Immunochromatographic Strip Based on Convolutional Neural Network. IEEE Access 7: 16257-16263 (2019) - [j50]Mingsheng Shang, Xin Luo, Zhigang Liu, Jia Chen, Ye Yuan, MengChu Zhou:
Randomized latent factor model for high-dimensional and sparse matrices from industrial applications. IEEE CAA J. Autom. Sinica 6(1): 131-141 (2019) - [j49]Dexian Wang, Yanbin Chen, Junxiao Guo, Xiaoyu Shi, Chunlin He, Xin Luo, Huaqiang Yuan:
Elastic-net regularized latent factor analysis-based models for recommender systems. Neurocomputing 329: 66-74 (2019) - [j48]Qingxian Wang, Minzhi Chen, Mingsheng Shang, Xin Luo:
A momentum-incorporated latent factorization of tensors model for temporal-aware QoS missing data prediction. Neurocomputing 367: 299-307 (2019) - [j47]Qingxian Wang, Sili Chen, Xin Luo:
An adaptive latent factor model via particle swarm optimization. Neurocomputing 369: 176-184 (2019) - [j46]Xin Luo, MengChu Zhou:
Effects of Extended Stochastic Gradient Descent Algorithms on Improving Latent Factor-Based Recommender Systems. IEEE Robotics Autom. Lett. 4(2): 618-624 (2019) - [j45]Huiyan Lu, Long Jin, Xin Luo, Bolin Liao, Dongsheng Guo, Lin Xiao:
RNN for Solving Perturbed Time-Varying Underdetermined Linear System With Double Bound Limits on Residual Errors and State Variables. IEEE Trans. Ind. Informatics 15(11): 5931-5942 (2019) - [j44]Xin Luo, MengChu Zhou, Zidong Wang, Yunni Xia, Qingsheng Zhu:
An Effective Scheme for QoS Estimation via Alternating Direction Method-Based Matrix Factorization. IEEE Trans. Serv. Comput. 12(4): 503-518 (2019) - [c30]Di Wu, Yi He, Xin Luo, Mingsheng Shang, Xindong Wu:
Online Feature Selection with Capricious Streaming Features: A General Framework. IEEE BigData 2019: 683-688 - [c29]Qinglan Peng, Yunni Xia, Yan Wang, Chunrong Wu, Xin Luo, Jia Lee:
Joint Operator Scaling and Placement for Distributed Stream Processing Applications in Edge Computing. ICSOC 2019: 461-476 - [c28]Qinglan Peng, Yunni Xia, Feng Zeng, Jia Lee, Chunrong Wu, Xin Luo, Wanbo Zheng, Hui Liu, Yidan Qin, Peng Chen:
Mobility-Aware and Migration-Enabled Online Edge User Allocation in Mobile Edge Computing. ICWS 2019: 91-98 - [c27]Xuan Xiao, Yunni Xia, Feng Zeng, Wanbo Zheng, Xiaoning Sun, Qinglan Peng, Yu Guo, Xin Luo:
A Novel Coalitional Game-Theoretic Approach for Energy-Aware Dynamic VM Consolidation in Heterogeneous Cloud Datacenters. ICWS 2019: 95-109 - [c26]Di Wu, Xin Luo, Mingsheng Shang, Yi He, Guoyin Wang, Xindong Wu:
A Data-Aware Latent Factor Model for Web Service QoS Prediction. PAKDD (1) 2019: 384-399 - [c25]Zhigang Liu, Xin Luo:
Convergence Analysis of an SLF-NMU Algorithm for Non-negative Latent Factor Analysis on a High-Dimensional and Sparse Matrix. SMC 2019: 1750-1756 - 2018
- [j43]Ameer Hamza Khan, Shuai Li, Xuefeng Zhou, Yangming Li, Muhammad Umer Khan, Xin Luo, Huanqing Wang:
Editorial: Neural & Bio-inspired Processing and Robot Control. Frontiers Neurorobotics 12: 72 (2018) - [j42]Qing-Xian Wang, Xin Luo, Yan Li, Xiao-Yu Shi, Liang Gu, Mingsheng Shang:
Incremental Slope-one recommenders. Neurocomputing 272: 606-618 (2018) - [j41]Di Wu, Mingsheng Shang, Xin Luo, Ji Xu, Huyong Yan, Weihui Deng, Guoyin Wang:
Self-training semi-supervised classification based on density peaks of data. Neurocomputing 275: 180-191 (2018) - [j40]Ye Yuan, Xin Luo, Mingsheng Shang:
Effects of preprocessing and training biases in latent factor models for recommender systems. Neurocomputing 275: 2019-2030 (2018) - [j39]Xin Luo, MengChu Zhou, Shuai Li, Yunni Xia, Zhu-Hong You, Qingsheng Zhu, Hareton Leung:
Incorporation of Efficient Second-Order Solvers Into Latent Factor Models for Accurate Prediction of Missing QoS Data. IEEE Trans. Cybern. 48(4): 1216-1228 (2018) - [j38]Di Wu, Xin Luo, Guoyin Wang, Mingsheng Shang, Ye Yuan, Huyong Yan:
A Highly Accurate Framework for Self-Labeled Semisupervised Classification in Industrial Applications. IEEE Trans. Ind. Informatics 14(3): 909-920 (2018) - [j37]Yinyan Zhang, Shuai Li, Jie Gui, Xin Luo:
Velocity-Level Control With Compliance to Acceleration-Level Constraints: A Novel Scheme for Manipulator Redundancy Resolution. IEEE Trans. Ind. Informatics 14(3): 921-930 (2018) - [j36]Xin Luo, MengChu Zhou, Shuai Li, Mingsheng Shang:
An Inherently Nonnegative Latent Factor Model for High-Dimensional and Sparse Matrices from Industrial Applications. IEEE Trans. Ind. Informatics 14(5): 2011-2022 (2018) - [j35]Long Jin, Shuai Li, Xin Luo, Yangming Li, Bin Qin:
Neural Dynamics for Cooperative Control of Redundant Robot Manipulators. IEEE Trans. Ind. Informatics 14(9): 3812-3821 (2018) - [j34]Shuai Li, MengChu Zhou, Xin Luo:
Modified Primal-Dual Neural Networks for Motion Control of Redundant Manipulators With Dynamic Rejection of Harmonic Noises. IEEE Trans. Neural Networks Learn. Syst. 29(10): 4791-4801 (2018) - [c24]Xiaoning Sun, Jiangchuan Chen, Yunni Xia, Qiang He, Yuandou Wang, Xin Luo, Rongqing Zhang, Wuhong Han, Quanwang Wu:
A Fluctuation-Aware Approach for Predictive Web Service Composition. SCC 2018: 121-128 - [c23]Xin Luo, MengChu Zhou:
Unconstrained Non-negative Factorization of High-dimensional and Sparse Matrices in Recommender Systems. CASE 2018: 1406-1413 - [c22]Jia Chen, Xin Luo:
Randomized latent factor model for high-dimensional and sparse matrices from industrial applications. ICNSC 2018: 1-7 - [c21]Xi Cheng, Xin Luo:
Elastic net-regularized latent factor model for recommender systems. ICNSC 2018: 1-7 - [c20]Qingxiu Qu, Xin Luo:
Performance of symmetric non-negative matrix factorization-based community detector with learning depth variations. ICNSC 2018: 1-7 - [c19]Ye Yuan, Xin Luo:
Performance of nonnegative latent factor models with β-distance functions in recommender systems. ICNSC 2018: 1-7 - [c18]Yuandou Wang, Jiajia Jiang, Yunni Xia, Quanwang Wu, Xin Luo, Qingsheng Zhu:
A Multi-stage Dynamic Game-Theoretic Approach for Multi-Workflow Scheduling on Heterogeneous Virtual Machines from Multiple Infrastructure-as-a-Service Clouds. SCC 2018: 137-152 - [c17]Zhigang Liu, Xin Luo, Shuai Li, Mingsheng Shang:
Accelerated Non-negative Latent Factor Analysis on High-Dimensional and Sparse Matrices via Generalized Momentum Method. SMC 2018: 3051-3056 - 2017
- [j33]Wanbo Zheng, Mengchu Zhou, Lei Wu, Yunni Xia, Xin Luo, Shanchen Pang, Qingsheng Zhu, Yanqing Wu:
Percentile Performance Estimation of Unreliable IaaS Clouds and Their Cost-Optimal Capacity Decision. IEEE Access 5: 2808-2818 (2017) - [j32]Wanbo Zheng, Yuandou Wang, Yunni Xia, Quanwang Wu, Lei Wu, Kunyin Guo, Weiling Li, Xin Luo, Qingsheng Zhu:
On dynamic performance estimation of fault-prone Infrastructure-as-a-Service clouds. Int. J. Distributed Sens. Networks 13(7) (2017) - [j31]Xiaoyu Shi, Xin Luo, Mingsheng Shang, Liang Gu:
Long-term performance of collaborative filtering based recommenders in temporally evolving systems. Neurocomputing 267: 635-643 (2017) - [j30]Weiling Li, Yongbo Wang, Yuandou Wang, Yunni Xia, Xin Luo, Quanwang Wu:
An Energy-Aware and Under-SLA-Constraints VM Consolidation Strategy Based on the Optimal Matching Method. Int. J. Web Serv. Res. 14(4): 75-89 (2017) - [j29]Jia Chen, Xin Luo, Ye Yuan, Mingsheng Shang, Zhong Ming, Zhang Xiong:
Performance of latent factor models with extended linear biases. Knowl. Based Syst. 123: 128-136 (2017) - [j28]Shuai Li, MengChu Zhou, Xin Luo, Zhu-Hong You:
Distributed Winner-Take-All in Dynamic Networks. IEEE Trans. Autom. Control. 62(2): 577-589 (2017) - [j27]Zhu-Hong You, MengChu Zhou, Xin Luo, Shuai Li:
Highly Efficient Framework for Predicting Interactions Between Proteins. IEEE Trans. Cybern. 47(3): 731-743 (2017) - [j26]Long Jin, Shuai Li, Hung Manh La, Xin Luo:
Manipulability Optimization of Redundant Manipulators Using Dynamic Neural Networks. IEEE Trans. Ind. Electron. 64(6): 4710-4720 (2017) - [j25]Xin Luo, Jianpei Sun, Zidong Wang, Shuai Li, Mingsheng Shang:
Symmetric and Nonnegative Latent Factor Models for Undirected, High-Dimensional, and Sparse Networks in Industrial Applications. IEEE Trans. Ind. Informatics 13(6): 3098-3107 (2017) - [c16]Xin Luo, Shuai Li:
Non-negativity constrained missing data estimation for high-dimensional and sparse matrices. CASE 2017: 1368-1373 - [c15]Xiao-Yu Shi, Xin Luo, Mingsheng Shang, Xin-Yi Cai:
Empirical analysis of collaborative filtering-based recommenders in temporally evolving systems. ICNSC 2017: 406-412 - [c14]Ye Yuan, Xin Luo, Mingsheng Shang, Xin-Yi Cai:
Effect of linear biases in latent factor models on high-dimensional and sparse matrices from recommender systems. ICNSC 2017: 488-494 - [c13]Xin Luo, Mingsheng Shang:
Symmetric Non-negative Latent Factor Models for Undirected Large Networks. IJCAI 2017: 2435-2442 - [c12]Yinyan Zhang, Shuai Li, Xin Luo, Mingsheng Shang:
A dynamic neural controller for adaptive optimal control of permanent magnet DC motors. IJCNN 2017: 839-844 - [c11]Long Jin, Shuai Li, Xin Luo, Mingsheng Shang:
Nonlinearly-activated noise-tolerant zeroing neural network for distributed motion planning of multiple robot arms. IJCNN 2017: 4165-4170 - 2016
- [j24]Xin Luo, Mengchu Zhou, Mingsheng Shang, Shuai Li, Yunni Xia:
A Novel Approach to Extracting Non-Negative Latent Factors From Non-Negative Big Sparse Matrices. IEEE Access 4: 2649-2655 (2016) - [j23]Yu-An Huang, Zhu-Hong You, Xing Chen, Keith C. C. Chan, Xin Luo:
Sequence-based prediction of protein-protein interactions using weighted sparse representation model combined with global encoding. BMC Bioinform. 17: 184 (2016) - [j22]Kunyi Guo, Ke Yu, Shanchen Pang, Dan Yang, Jun Huang, Yunni Xia, Xin Luo, Jia Li:
On the performance and power consumption analysis of elastic clouds. Concurr. Comput. Pract. Exp. 28(17): 4367-4384 (2016) - [j21]Yu-An Huang, Zhu-Hong You, Xiao Li, Xing Chen, Pengwei Hu, Shuai Li, Xin Luo:
Construction of reliable protein-protein interaction networks using weighted sparse representation based classifier with pseudo substitution matrix representation features. Neurocomputing 218: 131-138 (2016) - [j20]Xin Luo, MengChu Zhou, Hareton Leung, Yunni Xia, Qingsheng Zhu, Zhu-Hong You, Shuai Li:
An Incremental-and-Static-Combined Scheme for Matrix-Factorization-Based Collaborative Filtering. IEEE Trans Autom. Sci. Eng. 13(1): 333-343 (2016) - [j19]Shuai Li, Zhu-Hong You, Hongliang Guo, Xin Luo, Zhong-Qiu Zhao:
Inverse-Free Extreme Learning Machine With Optimal Information Updating. IEEE Trans. Cybern. 46(5): 1229-1241 (2016) - [j18]Xin Luo, MengChu Zhou, Yunni Xia, Qingsheng Zhu, Ahmed Chiheb Ammari, Ahmed Alabdulwahab:
Generating Highly Accurate Predictions for Missing QoS Data via Aggregating Nonnegative Latent Factor Models. IEEE Trans. Neural Networks Learn. Syst. 27(3): 524-537 (2016) - [j17]Xin Luo, MengChu Zhou, Shuai Li, Zhu-Hong You, Yunni Xia, Qingsheng Zhu:
A Nonnegative Latent Factor Model for Large-Scale Sparse Matrices in Recommender Systems via Alternating Direction Method. IEEE Trans. Neural Networks Learn. Syst. 27(3): 579-592 (2016) - [c10]Abbas Khushnood, Xin Luo, Mingsheng Shang:
Discovering Items with Potential Popularity on Social Media. DASC/PiCom/DataCom/CyberSciTech 2016: 459-466 - [c9]Weiling Li, Lei Wu, Yunni Xia, Yuandou Wang, Kunyin Guo, Xin Luo, Mingwei Lin, Wanbo Zheng:
On Stochastic Performance and Cost-Aware Optimal Capacity Planning of Unreliable Infrastructure-as-a-Service Cloud. ICA3PP 2016: 644-657 - [c8]Xin Luo, Mingsheng Shang, Shuai Li:
Efficient Extraction of Non-negative Latent Factors from High-Dimensional and Sparse Matrices in Industrial Applications. ICDM 2016: 311-319 - [c7]Xin Luo, Shuai Li, MengChu Zhou:
Regularizaed extraction of non-negative latent factors from high-dimensional sparse matrices. SMC 2016: 1221-1226 - [i1]Abbas Khushnood, Mingsheng Shang, Xin Luo:
Discovering items with potential popularity on social media. CoRR abs/1604.01131 (2016) - 2015
- [j16]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. Concurr. Comput. Pract. Exp. 27(1): 146-163 (2015) - [j15]Xin Luo, Zhong Ming, Zhuhong You, Shuai Li, Yunni Xia, Hareton Leung:
Improving network topology-based protein interactome mapping via collaborative filtering. Knowl. Based Syst. 90: 23-32 (2015) - [j14]Yunni Xia, MengChu Zhou, Xin Luo, Qingsheng Zhu, Jia Li, Yu Huang:
Stochastic Modeling and Quality Evaluation of Infrastructure-as-a-Service Clouds. IEEE Trans Autom. Sci. Eng. 12(1): 162-170 (2015) - [j13]Yunni Xia, MengChu Zhou, Xin Luo, Shanchen Pang, Qingsheng Zhu:
Stochastic Modeling and Performance Analysis of Migration-Enabled and Error-Prone Clouds. IEEE Trans. Ind. Informatics 11(2): 495-504 (2015) - [j12]Xin Luo, Mengchu Zhou, Shuai Li, Yunni Xia, Zhuhong You, Qingsheng Zhu, Hareton Leung:
An Efficient Second-Order Approach to Factorize Sparse Matrices in Recommender Systems. IEEE Trans. Ind. Informatics 11(4): 946-956 (2015) - [j11]Yunni Xia, MengChu Zhou, Xin Luo, Shanchen Pang, Qingsheng Zhu:
A Stochastic Approach to Analysis of Energy-Aware DVS-Enabled Cloud Datacenters. IEEE Trans. Syst. Man Cybern. Syst. 45(1): 73-83 (2015) - [c6]Xin Luo, Yunni Xia, Qingsheng Zhu, Mengchu Zhou:
A Hessian-Free Optimization-Based Approach to Latent-Factor-Based QoS Predictors with High Accuracy. SMC 2015: 1639-1644 - 2014
- [j10]Xin Luo, Mengchu Zhou, Yunni Xia, Qingsheng Zhu:
An Efficient Non-Negative Matrix-Factorization-Based Approach to Collaborative Filtering for Recommender Systems. IEEE Trans. Ind. Informatics 10(2): 1273-1284 (2014) - [c5]Yunni Xia, Jingjing Lv, MengChu Zhou, Qingsheng Zhu, Xin Luo:
A time series and reduction based model for QoS prediction of service ontologies. ICNSC 2014: 501-506 - [c4]Xin Luo, MengChu Zhou, Yunni Xia, Qingsheng Zhu:
Predicting web service QoS via matrix-factorization-based collaborative filtering under non-negativity constraint. WOCC 2014: 1-6 - 2013
- [j9]Xin Luo, Yunni Xia, Qingsheng Zhu:
Applying the learning rate adaptation to the matrix factorization based collaborative filtering. Knowl. Based Syst. 37: 154-164 (2013) - [j8]Xin Luo, Yunni Xia, Qingsheng Zhu, Yi Li:
Boosting the K-Nearest-Neighborhood based incremental collaborative filtering. Knowl. Based Syst. 53: 90-99 (2013) - [j7]Yunni Xia, Xin Luo, Jia Li, Qingsheng Zhu:
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