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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.uni-trier.de/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
- 2023
[j130]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)- [j129]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) - [j128]Zhigang Liu, Xin Luo, Zidong Wang, Xiaohui Liu:
Constraint-Induced Symmetric Nonnegative Matrix Factorization for Accurate Community Detection. Inf. Fusion 89: 588-602 (2023) - [j127]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) - [j126]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) - [j125]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) - [j124]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) - [j123]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) - [j122]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) - [j121]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) - [j120]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) - [j119]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) - [j118]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) - [j117]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) - [j116]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) - [j115]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) - [i17]Zhigang Liu, Xin Luo:
A Constraints Fusion-induced Symmetric Nonnegative Matrix Factorization Approach for Community Detection. CoRR abs/2302.12114 (2023) - [i16]Zhigang Liu, Xin Luo:
A Symmetry and Graph Regularized Nonnegative Matrix Factorization Model for Community Detection. CoRR abs/2302.12122 (2023) - [i15]Ruiyang Xu, Di Wu, Xin Luo:
Online Sparse Streaming Feature Selection Using Adapted Classification. CoRR abs/2302.14056 (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) - [c57]Wen Qin, Xin Luo:
An Asynchronously Alternative Stochastic Gradient Descent Algorithm for Efficiently Parallel Latent Feature Analysis on Shared-Memory. ICKG 2022: 217-224 - [c56]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 - [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) - 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) - [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
- [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]