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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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Books and Theses
- 2023
[b1]Hao Wu, Xuke Wu, Xin Luo:
Dynamic Network Representation Based on Latent Factorization of Tensors. Springer Briefs in Computer Science, Springer 2023, ISBN 978-981-19-8933-9, pp. 1-80
Journal Articles
- 2024
- [j155]Jianing Zhao, Yubiao Pan, Huizhen Zhang, Mingwei Lin, Xin Luo, Zeshui Xu:
InPlaceKV: in-place update scheme for SSD-based KV storage systems under update-intensive Worklaods. Clust. Comput. 27(2): 1527-1540 (2024) - [j154]Nianyin Zeng, Xinyu Li, Peishu Wu, Han Li, Xin Luo:
A Novel Tensor Decomposition-Based Efficient Detector for Low-Altitude Aerial Objects With Knowledge Distillation Scheme. IEEE CAA J. Autom. Sinica 11(2): 487-501 (2024) - [j153]Zhigang Liu, Xin Luo, Mengchu Zhou:
Symmetry and Graph Bi-Regularized Non-Negative Matrix Factorization for Precise Community Detection. IEEE Trans Autom. Sci. Eng. 21(2): 1406-1420 (2024) - [j152]Wen Qin, Xin Luo, MengChu Zhou:
Adaptively-Accelerated Parallel Stochastic Gradient Descent for High-Dimensional and Incomplete Data Representation Learning. IEEE Trans. Big Data 10(1): 92-107 (2024) - [j151]Zhibin Li, Shuai Li, Xin Luo:
A Novel Machine Learning System for Industrial Robot Arm Calibration. IEEE Trans. Circuits Syst. II Express Briefs 71(4): 2364-2368 (2024) - [j150]Ye Yuan, Xin Luo, MengChu Zhou:
Adaptive Divergence-Based Non-Negative Latent Factor Analysis of High-Dimensional and Incomplete Matrices From Industrial Applications. IEEE Trans. Emerg. Top. Comput. Intell. 8(2): 1209-1222 (2024) - [j149]Wen Qin, Xin Luo:
Asynchronous Parallel Fuzzy Stochastic Gradient Descent for High-Dimensional Incomplete Data Representation. IEEE Trans. Fuzzy Syst. 32(2): 445-459 (2024) - [j148]Jiajia Li, Feng Tan, Cheng He, Zikai Wang, Haitao Song, Pengwei Hu, Xin Luo:
Saliency-Aware Dual Embedded Attention Network for Multivariate Time-Series Forecasting in Information Technology Operations. IEEE Trans. Ind. Informatics 20(3): 4206-4217 (2024) - [j147]Tinghui Chen, Shuai Li, Yan Qiao, Xin Luo:
A Robust and Efficient Ensemble of Diversified Evolutionary Computing Algorithms for Accurate Robot Calibration. IEEE Trans. Instrum. Meas. 73: 1-14 (2024) - [j146]Di Wu, Xin Luo, Yi He, Mengchu Zhou:
A Prediction-Sampling-Based Multilayer-Structured Latent Factor Model for Accurate Representation to High-Dimensional and Sparse Data. IEEE Trans. Neural Networks Learn. Syst. 35(3): 3845-3858 (2024) - [j145]Di Wu, Peng Zhang, Yi He, Xin Luo:
MMLF: Multi-Metric Latent Feature Analysis for High-Dimensional and Incomplete Data. IEEE Trans. Serv. Comput. 17(2): 575-588 (2024) - [j144]Xin Luo, Jiufang Chen, Ye Yuan, Zidong Wang:
Pseudo Gradient-Adjusted Particle Swarm Optimization for Accurate Adaptive Latent Factor Analysis. IEEE Trans. Syst. Man Cybern. Syst. 54(4): 2213-2226 (2024) - 2023
- [j143]Yue Zhou, Xin Luo, MengChu Zhou:
Cryptocurrency Transaction Network Embedding From Static and Dynamic Perspectives: An Overview. IEEE CAA J. Autom. Sinica 10(5): 1105-1121 (2023) - [j142]Fanghui Bi, Xin Luo, Bo Shen, Hongli Dong, Zidong Wang:
Proximal Alternating-Direction-Method-of-Multipliers-Incorporated Nonnegative Latent Factor Analysis. IEEE CAA J. Autom. Sinica 10(6): 1388-1406 (2023) - [j141]Lin Chen, Xin Luo:
Tensor Distribution Regression Based on the 3D Conventional Neural Networks. IEEE CAA J. Autom. Sinica 10(7): 1628-1630 (2023) - [j140]Minzhi Chen, Guijun Ma, Weibo Liu, Nianyin Zeng, Xin Luo:
An overview of data-driven battery health estimation technology for battery management system. Neurocomputing 532: 152-169 (2023) - [j139]Zhigang Liu, Xin Luo, Zidong Wang, Xiaohui Liu:
Constraint-Induced Symmetric Nonnegative Matrix Factorization for Accurate Community Detection. Inf. Fusion 89: 588-602 (2023) - [j138]Feng Zhang, Lihao Yang, Jianjun Wang, Xin Luo:
Randomized sampling techniques based low-tubal-rank plus sparse tensor recovery. Knowl. Based Syst. 261: 110198 (2023) - [j137]Zhengtai Xie, Long Jin, Xin Luo:
Kinematics-Based Motion-Force Control for Redundant Manipulators With Quaternion Control. IEEE Trans Autom. Sci. Eng. 20(3): 1815-1828 (2023) - [j136]Minzhi Chen, Chunlin He, Xin Luo:
MNL: A Highly-Efficient Model for Large-scale Dynamic Weighted Directed Network Representation. IEEE Trans. Big Data 9(3): 889-903 (2023) - [j135]Xin Luo, Liwei Wang, Pengwei Hu, Lun Hu:
Predicting Protein-Protein Interactions Using Sequence and Network Information via Variational Graph Autoencoder. IEEE ACM Trans. Comput. Biol. Bioinform. 20(5): 3182-3194 (2023) - [j134]Long Jin, Siqi Liang, Xin Luo, MengChu Zhou:
Distributed and Time-Delayed -Winner-Take-All Network for Competitive Coordination of Multiple Robots. IEEE Trans. Cybern. 53(1): 641-652 (2023) - [j133]Xiufang Chen, Xin Luo, Long Jin, Shuai Li, Mei Liu:
Growing Echo State Network With an Inverse-Free Weight Update Strategy. IEEE Trans. Cybern. 53(2): 753-764 (2023) - [j132]Ye Yuan, Xin Luo, Mingsheng Shang, Zidong Wang:
A Kalman-Filter-Incorporated Latent Factor Analysis Model for Temporally Dynamic Sparse Data. IEEE Trans. Cybern. 53(9): 5788-5801 (2023) - [j131]Di Wu, Yi He, Xin Luo:
A Graph-Incorporated Latent Factor Analysis Model for High-Dimensional and Sparse Data. IEEE Trans. Emerg. Top. Comput. 11(4): 907-917 (2023) - [j130]Jia Chen, Renfang Wang, Di Wu, Xin Luo:
A Differential Evolution-Enhanced Position-Transitional Approach to Latent Factor Analysis. IEEE Trans. Emerg. Top. Comput. Intell. 7(2): 389-401 (2023) - [j129]Zhigang Liu, Yugen Yi, Xin Luo:
A High-Order Proximity-Incorporated Nonnegative Matrix Factorization-Based Community Detector. IEEE Trans. Emerg. Top. Comput. Intell. 7(3): 700-714 (2023) - [j128]Lun Hu, Yue Yang, Zehai Tang, Yizhou He, Xin Luo:
FCAN-MOPSO: An Improved Fuzzy-Based Graph Clustering Algorithm for Complex Networks With Multiobjective Particle Swarm Optimization. IEEE Trans. Fuzzy Syst. 31(10): 3470-3484 (2023) - [j127]Fan Zhang, Long Jin, Xin Luo:
Error-Summation Enhanced Newton Algorithm for Model Predictive Control of Redundant Manipulators. IEEE Trans. Ind. Electron. 70(3): 2800-2811 (2023) - [j126]Weiyi Yang, Shuai Li, Zhibin Li, Xin Luo:
Highly Accurate Manipulator Calibration via Extended Kalman Filter-Incorporated Residual Neural Network. IEEE Trans. Ind. Informatics 19(11): 10831-10841 (2023) - [j125]Zhibin Li, Shuai Li, Xin Luo:
Efficient Industrial Robot Calibration via a Novel Unscented Kalman Filter-Incorporated Variable Step-Size Levenberg-Marquardt Algorithm. IEEE Trans. Instrum. Meas. 72: 1-12 (2023) - [j124]Xiuqin Xu, Mingwei Lin, Xin Luo, Zeshui Xu:
HRST-LR: A Hessian Regularization Spatio-Temporal Low Rank Algorithm for Traffic Data Imputation. IEEE Trans. Intell. Transp. Syst. 24(10): 11001-11017 (2023) - [j123]Xin Luo, Yue Zhou, Zhigang Liu, MengChu Zhou:
Fast and Accurate Non-Negative Latent Factor Analysis of High-Dimensional and Sparse Matrices in Recommender Systems. IEEE Trans. Knowl. Data Eng. 35(4): 3897-3911 (2023) - [j122]Xin Luo, Hao Wu, Zechao Li:
Neulft: A Novel Approach to Nonlinear Canonical Polyadic Decomposition on High-Dimensional Incomplete Tensors. IEEE Trans. Knowl. Data Eng. 35(6): 6148-6166 (2023) - [j121]Xin Luo, Yurong Zhong, Zidong Wang, Maozhen Li:
An Alternating-Direction-Method of Multipliers-Incorporated Approach to Symmetric Non-Negative Latent Factor Analysis. IEEE Trans. Neural Networks Learn. Syst. 34(8): 4826-4840 (2023) - [j120]Zhibin Li, Shuai Li, Omaimah Omar Bamasag, Areej Alhothali, Xin Luo:
Diversified Regularization Enhanced Training for Effective Manipulator Calibration. IEEE Trans. Neural Networks Learn. Syst. 34(11): 8778-8790 (2023) - [j119]Weiling Li, Renfang Wang, Xin Luo, MengChu Zhou:
A Second-Order Symmetric Non-Negative Latent Factor Model for Undirected Weighted Network Representation. IEEE Trans. Netw. Sci. Eng. 10(2): 606-618 (2023) - [j118]Di Wu, Peng Zhang, Yi He, Xin Luo:
A Double-Space and Double-Norm Ensembled Latent Factor Model for Highly Accurate Web Service QoS Prediction. IEEE Trans. Serv. Comput. 16(2): 802-814 (2023) - [j117]Weiling Li, Xin Luo, Huaqiang Yuan, MengChu Zhou:
A Momentum-Accelerated Hessian-Vector-Based Latent Factor Analysis Model. IEEE Trans. Serv. Comput. 16(2): 830-844 (2023) - [j116]Fanghui Bi, Tiantian He, Yuetong Xie, Xin Luo:
Two-Stream Graph Convolutional Network-Incorporated Latent Feature Analysis. IEEE Trans. Serv. Comput. 16(4): 3027-3042 (2023) - [j115]Ye Yuan, Renfang Wang, Guangxiao Yuan, Xin Luo:
An Adaptive Divergence-Based Non-Negative Latent Factor Model. IEEE Trans. Syst. Man Cybern. Syst. 53(10): 6475-6487 (2023) - 2022
- [j114]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) - [j113]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) - [j112]Long Jin, Xin Zheng, Xin Luo:
Neural Dynamics for Distributed Collaborative Control of Manipulators With Time Delays. IEEE CAA J. Autom. Sinica 9(5): 854-863 (2022) - [j111]Zhigang Liu, Guangxiao Yuan, Xin Luo:
Symmetry and Nonnegativity-Constrained Matrix Factorization for Community Detection. IEEE CAA J. Autom. Sinica 9(9): 1691-1693 (2022) - [j110]Xin Luo, Hao Wu, Zhi Wang, Jianjun Wang, Deyu Meng:
A Novel Approach to Large-Scale Dynamically Weighted Directed Network Representation. IEEE Trans. Pattern Anal. Mach. Intell. 44(12): 9756-9773 (2022) - [j109]Zhibin Li, Shuai Li, Xin Luo:
Using Quadratic Interpolated Beetle Antennae Search to Enhance Robot Arm Calibration Accuracy. IEEE Robotics Autom. Lett. 7(4): 12046-12053 (2022) - [j108]Long Jin, Yimeng Qi, Xin Luo, Shuai Li, Mingsheng Shang:
Distributed Competition of Multi-Robot Coordination Under Variable and Switching Topologies. IEEE Trans Autom. Sci. Eng. 19(4): 3575-3586 (2022) - [j107]Xiaoyu Shi, Qiang He, Xin Luo, Yanan Bai, Mingsheng Shang:
Large-Scale and Scalable Latent Factor Analysis via Distributed Alternative Stochastic Gradient Descent for Recommender Systems. IEEE Trans. Big Data 8(2): 420-431 (2022) - [j106]Lun Hu, Shicheng Yang, Xin Luo, MengChu Zhou:
An Algorithm of Inductively Identifying Clusters From Attributed Graphs. IEEE Trans. Big Data 8(2): 523-534 (2022) - [j105]Ye Yuan, Qiang He, Xin Luo, Mingsheng Shang:
A Multilayered-and-Randomized Latent Factor Model for High-Dimensional and Sparse Matrices. IEEE Trans. Big Data 8(3): 784-794 (2022) - [j104]Yurong Zhong, Long Jin, Mingsheng Shang, Xin Luo:
Momentum-Incorporated Symmetric Non-Negative Latent Factor Models. IEEE Trans. Big Data 8(4): 1096-1106 (2022) - [j103]Jia Chen, Xin Luo, MengChu Zhou:
Hierarchical Particle Swarm Optimization-incorporated Latent Factor Analysis for Large-Scale Incomplete Matrices. IEEE Trans. Big Data 8(6): 1524-1536 (2022) - [j102]Zhibin Li, Shuai Li, Adam Francis, Xin Luo:
A Novel Calibration System for Robot Arm via an Open Dataset and a Learning Perspective. IEEE Trans. Circuits Syst. II Express Briefs 69(12): 5169-5173 (2022) - [j101]Mingsheng Shang, Ye Yuan, Xin Luo, MengChu Zhou:
An α-β-Divergence-Generalized Recommender for Highly Accurate Predictions of Missing User Preferences. IEEE Trans. Cybern. 52(8): 8006-8018 (2022) - [j100]Yimeng Qi, Long Jin, Xin Luo, Yang Shi, Mei Liu:
Robust k-WTA Network Generation, Analysis, and Applications to Multiagent Coordination. IEEE Trans. Cybern. 52(8): 8515-8527 (2022) - [j99]Lun Hu, Xiangyu Pan, Zehai Tang, Xin Luo:
A Fast Fuzzy Clustering Algorithm for Complex Networks via a Generalized Momentum Method. IEEE Trans. Fuzzy Syst. 30(9): 3473-3485 (2022) - [j98]Yan Song, Ming Li, Zhengyu Zhu, Guisong Yang, Xin Luo:
Nonnegative Latent Factor Analysis-Incorporated and Feature-Weighted Fuzzy Double $c$-Means Clustering for Incomplete Data. IEEE Trans. Fuzzy Syst. 30(10): 4165-4176 (2022) - [j97]Wenjin Qin, Hailin Wang, Feng Zhang, Jianjun Wang, Xin Luo, Tingwen Huang:
Low-Rank High-Order Tensor Completion With Applications in Visual Data. IEEE Trans. Image Process. 31: 2433-2448 (2022) - [j96]Xuan Xiao, Yong Ma, Yunni Xia, MengChu Zhou, Xin Luo, Xu Wang, Xiaodong Fu, Wei Wei, Ning Jiang:
Novel Workload-Aware Approach to Mobile User Reallocation in Crowded Mobile Edge Computing Environment. IEEE Trans. Intell. Transp. Syst. 23(7): 8846-8856 (2022) - [j95]Di Wu, Xin Luo, Mingsheng Shang, Yi He, Guoyin Wang, Xindong Wu:
A Data-Characteristic-Aware Latent Factor Model for Web Services QoS Prediction. IEEE Trans. Knowl. Data Eng. 34(6): 2525-2538 (2022) - [j94]Xin Luo, Ye Yuan, Sili Chen, Nianyin Zeng, Zidong Wang:
Position-Transitional Particle Swarm Optimization-Incorporated Latent Factor Analysis. IEEE Trans. Knowl. Data Eng. 34(8): 3958-3970 (2022) - [j93]Zhengtai Xie, Long Jin, Xin Luo, Zhongbo Sun, Mei Liu:
RNN for Repetitive Motion Generation of Redundant Robot Manipulators: An Orthogonal Projection-Based Scheme. IEEE Trans. Neural Networks Learn. Syst. 33(2): 615-628 (2022) - [j92]Xin Luo, Zhigang Liu, Long Jin, Yue Zhou, Mengchu Zhou:
Symmetric Nonnegative Matrix Factorization-Based Community Detection Models and Their Convergence Analysis. IEEE Trans. Neural Networks Learn. Syst. 33(3): 1203-1215 (2022) - [j91]Yimeng Qi, Long Jin, Xin Luo, MengChu Zhou:
Recurrent Neural Dynamics Models for Perturbed Nonstationary Quadratic Programs: A Control-Theoretical Perspective. IEEE Trans. Neural Networks Learn. Syst. 33(3): 1216-1227 (2022) - [j90]Zhi Wang, Yu Liu, Xin Luo, Jianjun Wang, Chao Gao, Dezhong Peng, Wu Chen:
Large-Scale Affine Matrix Rank Minimization With a Novel Nonconvex Regularizer. IEEE Trans. Neural Networks Learn. Syst. 33(9): 4661-4675 (2022) - [j89]Di Wu, Mingsheng Shang, Xin Luo, Zidong Wang:
An L1-and-L2-Norm-Oriented Latent Factor Model for Recommender Systems. IEEE Trans. Neural Networks Learn. Syst. 33(10): 5775-5788 (2022) - [j88]Qingxian Wang, Xinyu Liu, Tianqi Shang, Zhigang Liu, Han Yang, Xin Luo:
Multi-Constrained Embedding for Accurate Community Detection on Undirected Networks. IEEE Trans. Netw. Sci. Eng. 9(5): 3675-3690 (2022) - [j87]Di Wu, Qiang He, Xin Luo, Mingsheng Shang, Yi He, Guoyin Wang:
A Posterior-Neighborhood-Regularized Latent Factor Model for Highly Accurate Web Service QoS Prediction. IEEE Trans. Serv. Comput. 15(2): 793-805 (2022) - [j86]Hao Wu, Xin Luo, MengChu Zhou:
Advancing Non-Negative Latent Factorization of Tensors With Diversified Regularization Schemes. IEEE Trans. Serv. Comput. 15(3): 1334-1344 (2022) - [j85]Xin Luo, Yue Zhou, Zhigang Liu, Lun Hu, MengChu Zhou:
Generalized Nesterov's Acceleration-Incorporated, Non-Negative and Adaptive Latent Factor Analysis. IEEE Trans. Serv. Comput. 15(5): 2809-2823 (2022) - [j84]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) - [j83]Dongdong Cheng, Jinlong Huang, Sulan Zhang, Xiaohua Zhang, Xin Luo:
A Novel Approximate Spectral Clustering Algorithm With Dense Cores and Density Peaks. IEEE Trans. Syst. Man Cybern. Syst. 52(4): 2348-2360 (2022) - [j82]Zhengtai Xie, Long Jin, Xin Luo, Bin Hu, Shuai Li:
An Acceleration-Level Data-Driven Repetitive Motion Planning Scheme for Kinematic Control of Robots With Unknown Structure. IEEE Trans. Syst. Man Cybern. Syst. 52(9): 5679-5691 (2022) - [j81]Lin Wei, Long Jin, Xin Luo:
Noise-Suppressing Neural Dynamics for Time-Dependent Constrained Nonlinear Optimization With Applications. IEEE Trans. Syst. Man Cybern. Syst. 52(10): 6139-6150 (2022) - [j80]Di Wu, Yi He, Xin Luo, MengChu Zhou:
A Latent Factor Analysis-Based Approach to Online Sparse Streaming Feature Selection. IEEE Trans. Syst. Man Cybern. Syst. 52(11): 6744-6758 (2022) - 2021
- [j79]Zhibin Li, Shuai Li, Xin Luo:
An overview of calibration technology of industrial robots. IEEE CAA J. Autom. Sinica 8(1): 23-36 (2021) - [j78]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) - [j77]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) - [j76]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) - [j75]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) - [j74]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) - [j73]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) - [j72]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) - [j71]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) - [j70]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) - [j69]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) - [j68]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) - [j67]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) - [j66]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) - [j65]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) - [j64]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) - [j63]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) - [j62]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) - 2020
- [j61]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) - [j60]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) - [j59]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) - [j58]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) - [j57]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) - [j56]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) - [j55]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) - [j54]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) - 2019
- [j53]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) - [j52]Nianyin Zeng, Han Li, Yurong Li, Xin Luo:
Quantitative Analysis of Immunochromatographic Strip Based on Convolutional Neural Network. IEEE Access 7: 16257-16263 (2019) - [j51]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) - [j50]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) - [j49]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) - [j48]Qingxian Wang, Sili Chen, Xin Luo:
An adaptive latent factor model via particle swarm optimization. Neurocomputing 369: 176-184 (2019) - [j47]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) - [j46]Lun Hu, Xiaohui Yuan, Xing Liu, Shengwu Xiong, Xin Luo:
Efficiently Detecting Protein Complexes from Protein Interaction Networks via Alternating Direction Method of Multipliers. IEEE ACM Trans. Comput. Biol. Bioinform. 16(6): 1922-1935 (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) - 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) - 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) - 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) - 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) - 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) - 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:
A Petri-Net-Based Approach to Reliability Determination of Ontology-Based Service Compositions. IEEE Trans. Syst. Man Cybern. Syst. 43(5): 1240-1247 (2013) - 2012
- [j6]Yunni Xia, Neng Wan, Gang Dai, Xin Luo, Tianhao Sun:
A non-Markovian stochastic Petri net-based approach to performance evaluation of ontology-based service composition. Concurr. Comput. Pract. Exp. 24(18): 2255-2267 (2012) - [j5]Xin Luo, Huijun Liu, Gaopeng Gou, Yunni Xia, Qingsheng Zhu:
A parallel matrix factorization based recommender by alternating stochastic gradient decent. Eng. Appl. Artif. Intell. 25(7): 1403-1412 (2012) - [j4]Xin Luo, Yunni Xia, Qingsheng Zhu:
Incremental Collaborative Filtering recommender based on Regularized Matrix Factorization. Knowl. Based Syst. 27: 271-280 (2012) - [j3]Xin Luo, Yuanxin Ouyang, Zhang Xiong:
Improving neighborhood based Collaborative Filtering via integrated folksonomy information. Pattern Recognit. Lett. 33(3): 263-270 (2012) - 2011
- [j2]Xin Luo, Yuanxin Ouyang, Xiong Zhang:
Improving Matrix Factorization-Based Recommender via Ensemble Methods. Int. J. Inf. Technol. Decis. Mak. 10(3): 539-561 (2011) - [j1]Xin Luo, Yuanxin Ouyang, Zhang Xiong:
Improving Latent Factor Model Based Collaborative Filtering via Integrated Folksonomy Factors. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 19(2): 307-327 (2011)
Conference and Workshop Papers
- 2024
- [c67]Di Wu, Wu Sun, Yi He, Zhong Chen, Xin Luo:
MKG-FENN: A Multimodal Knowledge Graph Fused End-to-End Neural Network for Accurate Drug-Drug Interaction Prediction. AAAI 2024: 10216-10224 - 2023
- [c66]Yurong Zhong, Weiling Li, Zhigang Liu, Xin Luo:
An Adaptive Alternating-direction-method-based Nonnegative Latent Factor Model. ICDM (Workshops) 2023: 451-455 - [c65]Yurong Zhong, Zhe Xie, Weiling Li, Xin Luo:
Proximal Symmetric Non-negative Latent Factor Analysis: A Novel Approach to Highly-Accurate Representation of Undirected Weighted Networks. ICIC (4) 2023: 64-76 - [c64]Tinghui Chen, Shuai Li, Xin Luo:
A Highly-Accurate Robot Calibration Method with Line Constraint. ICNSC 2023: 1-6 - [c63]Cheng Liang, Di Wu, Yi He, Teng Huang, Zhong Chen, Xin Luo:
MMA: Multi-Metric-Autoencoder for Analyzing High-Dimensional and Incomplete Data. ECML/PKDD (5) 2023: 3-19 - [c62]Jiajia Mi, Hao Wu, Weiling Li, Xin Luo:
Spatio-Temporal Traffic Data Recovery Via Latent Factorization of Tensors Based on Tucker Decomposition. SMC 2023: 1512-1517 - [c61]Liping Zhang, Di Wu, Xin Luo:
An Error Correction Mid-term Electricity Load Forecasting Model Based on Seasonal Decomposition. SMC 2023: 2415-2420 - [c60]Ruiyang Xu, Di Wu, Xin Luo:
Online Sparse Streaming Feature Selection via Decision Risk. SMC 2023: 4190-4195 - [c59]Yurong Zhong, Zhe Xie, Weiling Li, Xin Luo:
Multi-Constrained Symmetric Nonnegative Latent Factor Analysis for Accurately Representing Undirected Weighted Networks. SMC 2023: 4920-4925 - 2022
- [c58]Wen Qin, Xin Luo:
An Asynchronously Alternative Stochastic Gradient Descent Algorithm for Efficiently Parallel Latent Feature Analysis on Shared-Memory. ICKG 2022: 217-224 - [c57]Fanghui Bi, Tiantian He, Xin Luo:
A Two-Stream Light Graph Convolution Network-based Latent Factor Model for Accurate Cloud Service QoS Estimation. ICDM 2022: 855-860 - [c56]Yurong Zhong, Zhe Xie, Weiling Li, Xin Luo:
A Dynamic Linear Bias Incorporation Scheme for Nonnegative Latent Factor Analysis. PRICAI (1) 2022: 39-51 - 2021
- [c55]Weiling Li, Xin Luo, MengChu Zhou:
A Generalized Nesterov-Accelerated Hessian-Vector-Based Latent Factor Analysis Model for QoS Prediction. CLOUD 2021: 200-205 - [c54]Wen Qin, Xin Luo, MengChu Zhou:
Adaptive Alternating Stochastic Gradient Descent Algorithms for Large-Scale Latent Factor Analysis. SCC 2021: 285-290 - [c53]Zhigang Liu, Xin Luo, MengChu Zhou:
Symmetry-constrained Non-negative Matrix Factorization Approach for Highly-Accurate Community Detection. CASE 2021: 1521-1526 - [c52]Yurong Zhong, Xin Luo:
Alternating-direction-method of Multipliers-Based Symmetric Nonnegative Latent Factor Analysis for Large-scale Undirected Weighted Networks. CASE 2021: 1527-1532 - [c51]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 - [c50]Lun Hu, Xiangyu Pan, Xin Luo:
Incorporating Generalized Momentum Method to Accelerate Clustering Analysis of Complex Networks. CASE 2021: 2051-2056 - [c49]Zhibin Li, Shuai Li, Xin Luo:
Data-driven Industrial Robot Arm Calibration: A Machine Learning Perspective. ICNSC 2021: 1-6 - [c48]Hao Wu, Xin Luo:
Instance-Frequency-Weighted Regularized, Nonnegative and Adaptive Latent Factorization of Tensors for Dynamic QoS Analysis. ICWS 2021: 560-568 - [c47]Yurong Zhong, Xin Luo:
Generalized Symmetric Nonnegative Latent Factor Analysis for Large-scale Undirected Weighted Networks. IJCNN 2021: 1-8 - [c46]Minzhi Chen, Xin Luo:
Efficient Representation to Dynamic QoS Data via Generalized Nesterov's Accelerated Gradient-incorporated Biased Non-negative Latent Factorization of Tensors. SMC 2021: 576-581 - [c45]Lun Hu, Bo-Wei Zhao, Shicheng Yang, Xin Luo, MengChu Zhou:
Predicting Large-scale Protein-protein Interactions by Extracting Coevolutionary Patterns with MapReduce Paradigm. SMC 2021: 939-944 - [c44]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 - [c43]Jia Chen, Xin Luo, MengChu Zhou:
Accurate Latent Factor Analysis via Particle Swarm Optimizers. SMC 2021: 2930-2935 - [c42]Yurong Zhong, Xin Luo:
Relaxed Symmetric Non-negative Latent Factor Analysis for Large-scale Undirected Weighted Networks. SMC 2021: 3050-3055 - [c41]Hao Wu, Xin Luo, MengChu Zhou:
Neural Latent Factorization of Tensors for Dynamically Weighted Directed Networks Analysis. SMC 2021: 3061-3066 - [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
- [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 - 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
- [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
- [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
- [c10]Khushnood Abbas, 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 - 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
- [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
- [c3]Yunni Xia, MengChu Zhou, Xin Luo, Qingsheng Zhu:
A comprehensive QoS determination model for Infrastructure-as-a-Service clouds. CASE 2013: 122-127 - [c2]Yunni Xia, Jian Ding, Xin Luo, Qingsheng Zhu:
Dependability Prediction of WS-BPEL Service Compositions Using Petri Net and Time Series Models. SOSE 2013: 192-202 - 2012
- [c1]Liang Ge, Junduo Yang, Qingsheng Zhu, Qiang Chen, Kang Lv, Qianqian Wang, Jie Pei, Xin Luo:
Cloud Backup Scheduling Algorithm Based on Cloud State Table and Cloud Resources Table. WISA 2012: 189-192
Informal and Other Publications
- 2024
- [i22]Jialiang Wang, Weiling Li, Yurong Zhong, Xin Luo:
Mini-Hes: A Parallelizable Second-order Latent Factor Analysis Model. CoRR abs/2402.11948 (2024) - 2023
- [i21]Zhigang Liu, Xin Luo:
A Constraints Fusion-induced Symmetric Nonnegative Matrix Factorization Approach for Community Detection. CoRR abs/2302.12114 (2023) - [i20]Zhigang Liu, Xin Luo:
A Symmetry and Graph Regularized Nonnegative Matrix Factorization Model for Community Detection. CoRR abs/2302.12122 (2023) - [i19]Ruiyang Xu, Di Wu, Xin Luo:
Online Sparse Streaming Feature Selection Using Adapted Classification. CoRR abs/2302.14056 (2023) - [i18]Yurong Zhong, Zhe Xie, Weiling Li, Xin Luo:
Proximal Symmetric Non-negative Latent Factor Analysis: A Novel Approach to Highly-Accurate Representation of Undirected Weighted Networks. CoRR abs/2306.03647 (2023) - [i17]Yurong Zhong, Zhe Xie, Weiling Li, Xin Luo:
Multi-constrained Symmetric Nonnegative Latent Factor Analysis for Accurately Representing Large-scale Undirected Weighted Networks. CoRR abs/2306.03911 (2023) - [i16]Liping Zhang, Di Wu, Xin Luo:
An Error Correction Mid-term Electricity Load Forecasting Model Based on Seasonal Decomposition. CoRR abs/2306.10826 (2023) - [i15]Yurong Zhong, Zhe Xie, Weiling Li, Xin Luo:
A Dynamic Linear Bias Incorporation Scheme for Nonnegative Latent Factor Analysis. CoRR abs/2309.10618 (2023) - 2022
- [i14]Weiling Li, Xin Luo:
Second-order Symmetric Non-negative Latent Factor Analysis. CoRR abs/2203.02088 (2022) - [i13]Zhigang Liu, Xin Luo:
High-order Order Proximity-Incorporated, Symmetry and Graph-Regularized Nonnegative Matrix Factorization for Community Detection. CoRR abs/2203.03876 (2022) - [i12]Ye Yuan, Guangxiao Yuan, Renfang Wang, Xin Luo:
Adaptive Divergence-based Non-negative Latent Factor Analysis. CoRR abs/2203.16214 (2022) - [i11]Jia Chen, Di Wu, Xin Luo:
A Differential Evolution-Enhanced Latent Factor Analysis Model for High-dimensional and Sparse Data. CoRR abs/2204.00861 (2022) - [i10]Yurong Zhong, Xin Luo:
An Adaptive Alternating-direction-method-based Nonnegative Latent Factor Model. CoRR abs/2204.04843 (2022) - [i9]Zhibin Li, Shuai Li, Xin Luo:
A New Robot Arm Calibration Method Based on Cubic Interpolated Beetle Antennae Search Approach. CoRR abs/2204.06212 (2022) - [i8]Zhibin Li, Shuai Li, Xin Luo:
An Advancing Ensemble with Diversified Algorithms for Robot Arm Calibration. CoRR abs/2204.06217 (2022) - [i7]Zhibin Li, Shuai Li, Xin Luo:
A Novel Quadratic Interpolated Beetle Antennae Search for Manipulator Calibration. CoRR abs/2204.06218 (2022) - [i6]Di Wu, Yi He, Xin Luo:
Graph-incorporated Latent Factor Analysis for High-dimensional and Sparse Matrices. CoRR abs/2204.07818 (2022) - [i5]Di Wu, Peng Zhang, Yi He, Xin Luo:
A Multi-Metric Latent Factor Model for Analyzing High-Dimensional and Sparse data. CoRR abs/2204.07819 (2022) - [i4]Ye Yuan, Xin Luo:
PI-NLF: A Proportional-Integral Approach for Non-negative Latent Factor Analysis. CoRR abs/2205.02591 (2022) - [i3]Zhibin Li, Shuai Li, Xin Luo:
A New Calibration Method for Industrial Robot Based on Step-Size Levenberg-Marquardt Algorithm. CoRR abs/2208.00702 (2022) - [i2]Cheng Liang, Teng Huang, Yi He, Song Deng, Di Wu, Xin Luo:
Multi-Metric AutoRec for High Dimensional and Sparse User Behavior Data Prediction. CoRR abs/2212.13879 (2022) - 2016
- [i1]Khushnood Abbas, Mingsheng Shang, Xin Luo:
Discovering items with potential popularity on social media. CoRR abs/1604.01131 (2016)
Coauthor Index
MengChu Zhou
aka: Mengchu Zhou
aka: Mengchu Zhou
[j153] [j152] [j150] [j146] [j143] [j134] [j123] [j119] [j117] [j114] [j113] [j106] [j103] [j101] [j96] [j92] [j91] [j86] [j85] [j80] [j78] [j74] [j73] [j72] [j68] [j65] [j63] [j62] [j58] [j57] [j51] [j47] [j44] [j39] [j36] [j34] [j33] [j28] [j27] [j24] [j20] [j18] [j17] [j14] [j13] [j12] [j11] [j10] [c55] [c54] [c53] [c51] [c45] [c43] [c41] [c40] [c34] [c23] [c7] [c6] [c5] [c4] [c3]
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