Xin Luo

340 papers A* 8A 7B 20C 1Misc 1Journal 266Unranked 34
YearRankTypeTitle / Venue / Authors
2026 J jnl
A Sampling-Neighborhood-Regularized Latent Factorization of Tensor for Dynamic QoS Estimation.
IEEE Trans. Netw. Serv. Manag.
Xiuqin Xu, Mingwei Lin, Zeshui Xu, Xin Luo
2026 J jnl
A Scalable Multichannel Sentiment Analysis Model With Enhanced Semantic Understanding and Redundancy Reduction.
IEEE Trans. Comput. Soc. Syst.
Jun Liu, Xiang Li, Mingwei Lin, Xin Luo
2026 J jnl
A survey of latent factorization of tensor-based model compression: Algorithms, toolboxes and future directions.
Neurocomputing
Yaping He, Hao Wu, Weibo Liu, Xin Luo
2026 J jnl
Adaptive tucker decomposition-based progressive model compression for convolutional neural networks.
Expert Syst. Appl.
Yaping He, Hao Wu, Xin Luo
2026 J jnl
Advanced High-Order Graph Convolutional Networks with Assorted Time-Frequency Transforms.
IEEE CAA J. Autom. Sinica
Ling Wang, Ye Yuan, Xin Luo
2026 J jnl
An Intelligent Optimization-Based Residual Negative Magnitude Shaping Scheme for Vibration Control.
IEEE Trans. Ind. Electron.
Weiyi Yang, Shuai Li, Xin Luo
2026 J jnl
Dual Channel Graph Convolutional Networks via Personalized PageRank.
IEEE CAA J. Autom. Sinica
Longlong Lin, Xin Luo
2026 J jnl
Dynamic Stochastic Reorientation Particle Swarm Optimization for Adaptive Latent Factor Analysis in High-Dimensional Sparse Matrices.
IEEE Trans. Knowl. Data Eng.
Chao Lyu, Ziwen Ma, Xin Luo, Yuhui Shi
2026 A* conf
Federated Latent Factor Learning for Privacy-Preserving Spatio-Temporal Signal Recovery.
WWW
Chengjun Yu, Di Wu, Yi He, Jia Chen, Xin Luo
2026 J jnl
Fuzzy Mixture-of-Experts Aggregation for Organoid Identification With Multiscale State Space Features.
IEEE Trans. Fuzzy Syst.
Xun Deng, Pengwei Hu, Thomas Herget, Feng Tan, Xiaobo Zhu, Jun Zhang, Yuan Huang, Lun Hu, Zhuhong You, Xin Luo
2026 J jnl
Graph Tensor Convolutional Network.
IEEE Trans. Syst. Man Cybern. Syst.
Ling Wang, Ye Yuan, Xin Luo
2026 J jnl
Knowledge-Driven Multiple Instance Learning With Hierarchical Cluster-Incorporated Aware Filtering for Larynx Pathological Grading.
IEEE J. Biomed. Health Informatics
Chentao Li, Pan Huang, Harry Qin, Xin Luo
2026 J jnl
Layer-wise correlation and attention discrepancy distillation for semantic segmentation.
Pattern Recognit.
Jianping Gou, Kaijie Chen, Cheng Chen, Weihua Ou, Xin Luo, Zhang Yi
2026 J jnl
Modularized Graph Convolutional Network.
IEEE CAA J. Autom. Sinica
Tiantian He, Zhixuan Duan, Xin Luo
2026 J jnl
Multi-Scale Collaborative Distillation Graph Neural Networks for Session-Based Recommendation.
IEEE Trans. Serv. Comput.
Jianping Gou, Youhui Cheng, Benteng Ma, Lan Du, Xin Luo, Zhang Yi
2026 J jnl
Multimetric Autoencoder for Representing High-Dimensional and Incomplete Data.
IEEE Trans. Syst. Man Cybern. Syst.
Di Wu, Cheng Liang, Yi He, Yan Qiao, Xin Luo
2026 J jnl
NCSAC: Effective Neural Community Search via Attribute-Augmented Conductance.
IEEE Trans. Knowl. Data Eng.
Longlong Lin, Quanao Li, Miao Qiao, Zeli Wang, Jin Zhao, Rong-Hua Li, Xin Luo, Tao Jia
2026 J jnl
Neural Nonnegative Latent Factorization of Tensors Model With Acceleration and Unconstraint.
IEEE Trans. Syst. Man Cybern. Syst.
Wenqiang Li, Mingwei Lin, Xiuqin Xu, Ling Lin, Zeshui Xu, Xin Luo
2026 J jnl
Non-Gradient Hash Factor Learning for High-Dimensional and Incomplete Data Representation Learning.
IEEE Trans. Pattern Anal. Mach. Intell.
Di Wu, Shihui Li, Yi He, Xin Luo, Xinbo Gao
2026 J jnl
Tensor Low-Rank Orthogonal Compression for Convolutional Neural Networks.
IEEE CAA J. Autom. Sinica
Yaping He, Xin Luo
2026 J jnl
TraceHG: An Unsupervised Dual-View Framework for Microservice Anomaly Detection.
IEEE Trans. Serv. Comput.
Ningning Han, Siyang Lu, Zaichao Lin, Bin Li, Nan Wang, Xin Luo
2025 J jnl
A 3D Convolution-Incorporated Dimension Preserved Decomposition Model for Traffic Data Prediction.
IEEE Trans. Intell. Transp. Syst.
Mingwei Lin, Jiaqi Liu, Hong Chen, Xiuqin Xu, Xin Luo, Zeshui Xu
2025 J jnl
A Calibrator Fuzzy Ensemble for Highly-Accurate Robot Arm Calibration.
IEEE Trans. Neural Networks Learn. Syst.
Xin Luo, Zhibin Li, Wenbin Yue, Shuai Li
2025 J jnl
A Comprehensive Review of Parallel Optimization Algorithms for High-Dimensional and Incomplete Matrix Factorization.
IEEE CAA J. Autom. Sinica
Qicong Hu, Hao Wu, Xin Luo
2025 J jnl
A Convolution Bias-Incorporated Nonnegative Latent Factorization of Tensors Model for Accurate Representation Learning to Dynamic Directed Graphs.
IEEE Trans. Syst. Man Cybern. Syst.
Qu Wang, Hao Wu, Xin Luo
2025 J jnl
A Generalized Nesterov-Accelerated Second-Order Latent Factor Model for High-Dimensional and Incomplete Data.
IEEE Trans. Neural Networks Learn. Syst.
Weiling Li, Renfang Wang, Xin Luo
2025 J jnl
A Highly-Accurate Three-Way Decision-Incorporated Online Sparse Streaming Features Selection Model.
IEEE Trans. Syst. Man Cybern. Syst.
Ruiyang Xu, Di Wu, Renfang Wang, Xin Luo
2025 J jnl
A Node-Collaboration-Informed Graph Convolutional Network for Highly Accurate Representation to Undirected Weighted Graph.
IEEE Trans. Neural Networks Learn. Syst.
Ye Yuan, Ying Wang, Xin Luo
2025 J jnl
A Novel Tensor Causal Convolution Network Model for Highly-Accurate Representation to Spatio-Temporal Data.
IEEE Trans Autom. Sci. Eng.
Xin Liao, Hao Wu, Xin Luo
2025 J jnl
A Proportional Integral Controller-Enhanced Non-Negative Latent Factor Analysis Model.
IEEE CAA J. Autom. Sinica
Ye Yuan, Siyang Lu, Xin Luo
2025 J jnl
A Proximal-ADMM-Incorporated Nonnegative Latent-Factorization-of-Tensors Model for Representing Dynamic Cryptocurrency Transaction Network.
IEEE Trans. Syst. Man Cybern. Syst.
Xin Liao, Hao Wu, Tiantian He, Xin Luo
2025 J jnl
Advancing Healthcare with Large Language Models: Techniques and Application.
IEEE CAA J. Autom. Sinica
Zhenlin Hu, Zhizhi Peng, Zhen Bi, Qing Shen, Zhenfang Liu, Jungang Lou, Xin Luo
2025 B conf
Adversarial Domain Adaptation for Accurately Predicting the Associations between Herbal Compounds and Target Proteins.
SMC
Yantong Qiao, Lun Hu, Jun Zhang, Pengwei Hu, Xin Luo
2025 J jnl
An Adaptive Neighborhood-Resonated Graph Convolution Network for Undirected Weighted Graph Representation.
IEEE Trans. Neural Networks Learn. Syst.
Jiufang Chen, Ye Yuan, Xin Luo, Xinbo Gao
2025 J jnl
An Adaptive p-Norms-Based Kinematic Calibration Model for Industrial Robot Positioning Accuracy Promotion.
IEEE Trans. Syst. Man Cybern. Syst.
Tinghui Chen, Weiyi Yang, Shuai Li, Xin Luo
2025 J jnl
An Adaptively Bias-Extended Non-Negative Latent Factorization of Tensors Model for Accurately Representing the Dynamic QoS Data.
IEEE Trans. Serv. Comput.
Xiuqin Xu, Mingwei Lin, Xin Luo, Zeshui Xu
2025 J jnl
An Outlier-Resilient Autoencoder for Representing High-Dimensional and Incomplete Data.
IEEE Trans. Emerg. Top. Comput. Intell.
Di Wu, Yuanpeng Hu, Kechen Liu, Jing Li, Xianmin Wang, Song Deng, Nenggan Zheng, Xin Luo
2025 J jnl
Analysis of Students' Positive Emotion and Smile Intensity Using Sequence-Relative Key-Frame Labeling and Deep-Asymmetric Convolutional Neural Network.
IEEE CAA J. Autom. Sinica
Zhenzhen Luo, Xiaolu Jin, Yong Luo, Qiangqiang Zhou, Xin Luo
2025 J jnl
Attention-Mechanism-Based Neural Latent-Factorization-of-Tensors Model.
ACM Trans. Knowl. Discov. Data
Xiuqin Xu, Mingwei Lin, Zeshui Xu, Xin Luo
2025 J jnl
Auto-Encoding Neural Tucker Factorization.
IEEE Trans. Knowl. Data Eng.
Peng Tang, Xin Luo, Jim Woodcock
2025 J jnl
CLORG: A contrastive learning-based framework for morphological representation and classification of organoids.
Array
Yafang Wei, Pengwei Hu, Xun Deng, Feng Tan, Thomas Herget, Mei Gao, Lun Hu, Xin Luo
2025 J jnl
Data-Driven Calibration of Industrial Robots: A Comprehensive Survey.
IEEE CAA J. Autom. Sinica
Tinghui Chen, Weiyi Yang, Shuai Li, Xin Luo
2025 J jnl
Discovering Spatiotemporal-Individual Coupled Features From Nonstandard Tensors - A Novel Dynamic Graph Mixer Approach.
IEEE Trans. Neural Networks Learn. Syst.
Fanghui Bi, Tiantian He, Yew-Soon Ong, Xin Luo
2025 J jnl
Enhancing graph convolutional networks with an efficient k-hop neighborhood approach.
Inf. Fusion
Jiufang Chen, Xin Luo, Ye Yuan, Zidong Wang
2025 J jnl
FDTs: A Feature Disentangled Transformer for Interpretable Squamous Cell Carcinoma Grading.
IEEE CAA J. Autom. Sinica
Pan Huang, Xin Luo
2025 J jnl
FMvPCI: A Multiview Fusion Neural Network for Identifying Protein Complex via Fuzzy Clustering.
IEEE Trans. Syst. Man Cybern. Syst.
Yue Yang, Lun Hu, Guodong Li, Dongxu Li, Pengwei Hu, Xin Luo
2025 J jnl
Fourth-Order Dimension Preserved Tensor Completion With Temporal Constraint for Missing Traffic Data Imputation.
IEEE Trans. Intell. Transp. Syst.
Hong Chen, Mingwei Lin, Liang Zhao, Zeshui Xu, Xin Luo
2025 J jnl
Graph Linear Convolution Pooling for Learning in Incomplete High-Dimensional Data.
IEEE Trans. Knowl. Data Eng.
Fanghui Bi, Tiantian He, Yew-Soon Ong, Xin Luo
2025 J jnl
Identifying novel therapeutic targets of natural compounds in traditional Chinese medicine herbs with hypergraph representation learning.
Briefings Bioinform.
Yantong Qiao, Lun Hu, Jun Zhang, Pengwei Hu, Xin Luo
2025 J jnl
Latent Factor Analysis Model With Temporal Regularized Constraint for Road Traffic Data Imputation.
IEEE Trans. Intell. Transp. Syst.
Hengshuo Yang, Mingwei Lin, Hong Chen, Xin Luo, Zeshui Xu
2025 J jnl
Latent-Factorization-of-Tensors-Incorporated Battery Cycle Life Prediction.
IEEE CAA J. Autom. Sinica
Minzhi Chen, Li Tao, Jungang Lou, Xin Luo
2025 J jnl
Learning Accurate Representation to Nonstandard Tensors via a Mode-Aware Tucker Network.
IEEE Trans. Knowl. Data Eng.
Hao Wu, Qu Wang, Xin Luo, Zidong Wang
2025 J jnl
Learning Error Refinement in Stochastic Gradient Descent-Based Latent Factor Analysis via Diversified PID Controllers.
IEEE Trans. Emerg. Top. Comput. Intell.
Jinli Li, Ye Yuan, Xin Luo
2025 J jnl
Link-Based Attributed Graph Clustering via Approximate Generative Bayesian Learning.
IEEE Trans. Syst. Man Cybern. Syst.
Yue Yang, Lun Hu, Guodong Li, Dongxu Li, Pengwei Hu, Xin Luo
2025 J jnl
Local Search-Based Anytime Algorithms for Continuous Distributed Constraint Optimization Problems.
IEEE CAA J. Autom. Sinica
Xin Liao, Khoi Hoang, Xin Luo
2025 J jnl
Momentum-Accelerated and Biased Unconstrained Non-Negative Latent Factor Model for Handling High-Dimensional and Incomplete Data.
ACM Trans. Knowl. Discov. Data
Mingwei Lin, Hengshuo Yang, Xiuqin Xu, Ling Lin, Zeshui Xu, Xin Luo
2025 J jnl
NCSAC: Effective Neural Community Search via Attribute-augmented Conductance.
CoRR
Longlong Lin, Quanao Li, Miao Qiao, Zeli Wang, Jin Zhao, Rong-Hua Li, Xin Luo, Tao Jia
2025 J jnl
Neural Networks-Incorporated Latent Factor Analysis for High-Dimensional and Incomplete Data.
IEEE Trans. Syst. Man Cybern. Syst.
Mingwei Lin, Xingyu Lin, Xiuqin Xu, Zeshui Xu, Xin Luo
2025 J jnl
Neural Tucker Factorization.
IEEE CAA J. Autom. Sinica
Peng Tang, Xin Luo
2025 J jnl
Recursion-and-Fuzziness Reinforced Online Sparse Streaming Feature Selection.
IEEE Trans. Fuzzy Syst.
Ruiyang Xu, Di Wu, Xin Luo
2025 J jnl
Regulation-aware graph learning for drug repositioning over heterogeneous biological network.
Inf. Sci.
Bo-Wei Zhao, Xiao-Rui Su, Yue Yang, Dong-Xu Li, Guo-Dong Li, Peng-Wei Hu, Zhu-Hong You, Xin Luo, Lun Hu
2025 J jnl
Robust Low-Rank Latent Feature Analysis for Spatiotemporal Signal Recovery.
IEEE Trans. Neural Networks Learn. Syst.
Di Wu, Zechao Li, Zhikai Yu, Yi He, Xin Luo
2025 — conf
SGD-DyG: Self-Reliant Global Dependency Apprehending on Dynamic Graphs.
KDD (2)
Minglian Han, Ling Wang, Ye Yuan, Xin Luo
2025 J jnl
Searching for an Accurate Robot Calibration via Improved Levenberg-Marquardt and Radial Basis Function System.
J. Field Robotics
Zhibin Li, Xun Deng, Tinghui Chen, Yuhang Yang, Linlin Chen, Xiwen Yang, Zhenzhen Hu, Lun Hu, Pengwei Hu, Shuai Li, Xin Luo
2025 J jnl
Structure-Preserved Self-Attention for Fusion Image Information in Multiple Color Spaces.
IEEE Trans. Neural Networks Learn. Syst.
Zhu He, Mingwei Lin, Xin Luo, Zeshui Xu
2024 J jnl
A Distributed Adaptive Second-Order Latent Factor Analysis Model.
IEEE CAA J. Autom. Sinica
Jialiang Wang, Weiling Li, Xin Luo
2024 J jnl
A Fast Nonnegative Autoencoder-Based Approach to Latent Feature Analysis on High-Dimensional and Incomplete Data.
IEEE Trans. Serv. Comput.
Fanghui Bi, Tiantian He, Xin Luo
2024 J jnl
A Fine-Grained Regularization Scheme for Non-negative Latent Factorization of High-Dimensional and Incomplete Tensors.
IEEE Trans. Serv. Comput.
Hao Wu, Yan Qiao, Xin Luo
2024 J jnl
A Fuzzy PID-Incorporated Stochastic Gradient Descent Algorithm for Fast and Accurate Latent Factor Analysis.
IEEE Trans. Fuzzy Syst.
Ye Yuan, Jinli Li, Xin Luo
2024 J jnl
A Generalized Nesterov's Accelerated Gradient-Incorporated Non-Negative Latent-Factorization-of-Tensors Model for Efficient Representation to Dynamic QoS Data.
IEEE Trans. Emerg. Top. Comput. Intell.
Minzhi Chen, Renfang Wang, Yan Qiao, Xin Luo
2024 J jnl
A Nonlinear PID-Incorporated Adaptive Stochastic Gradient Descent Algorithm for Latent Factor Analysis.
IEEE Trans Autom. Sci. Eng.
Jinli Li, Xin Luo, Ye Yuan, Shangce Gao
2024 J jnl
A Novel Machine Learning System for Industrial Robot Arm Calibration.
IEEE Trans. Circuits Syst. II Express Briefs
Zhibin Li, Shuai Li, Xin Luo
2024 J jnl
A Novel Tensor Decomposition-Based Efficient Detector for Low-Altitude Aerial Objects With Knowledge Distillation Scheme.
IEEE CAA J. Autom. Sinica
Nianyin Zeng, Xinyu Li, Peishu Wu, Han Li, Xin Luo
2024 J jnl
A Prediction-Sampling-Based Multilayer-Structured Latent Factor Model for Accurate Representation to High-Dimensional and Sparse Data.
IEEE Trans. Neural Networks Learn. Syst.
Di Wu, Xin Luo, Yi He, MengChu Zhou
2024 J jnl
A Robust Coevolutionary Neural-Based Optimization Algorithm for Constrained Nonconvex Optimization.
IEEE Trans. Neural Networks Learn. Syst.
Lin Wei, Long Jin, Xin Luo
2024 J jnl
A Robust and Efficient Ensemble of Diversified Evolutionary Computing Algorithms for Accurate Robot Calibration.
IEEE Trans. Instrum. Meas.
Tinghui Chen, Shuai Li, Yan Qiao, Xin Luo
2024 J jnl
A State-Migration Particle Swarm Optimizer for Adaptive Latent Factor Analysis of High-Dimensional and Incomplete Data.
IEEE CAA J. Autom. Sinica
Jiufang Chen, Kechen Liu, Xin Luo, Ye Yuan, Khaled Sedraoui, Yusuf Al-Turki, MengChu Zhou
2024 J jnl
Adaptive Divergence-Based Non-Negative Latent Factor Analysis of High-Dimensional and Incomplete Matrices From Industrial Applications.
IEEE Trans. Emerg. Top. Comput. Intell.
Ye Yuan, Xin Luo, MengChu Zhou
2024 J jnl
Adaptively-Accelerated Parallel Stochastic Gradient Descent for High-Dimensional and Incomplete Data Representation Learning.
IEEE Trans. Big Data
Wen Qin, Xin Luo, MengChu Zhou
2024 J jnl
Alternating-Direction-Method of Multipliers-Based Adaptive Nonnegative Latent Factor Analysis.
IEEE Trans. Emerg. Top. Comput. Intell.
Yurong Zhong, Kechen Liu, Shangce Gao, Xin Luo
2024 J jnl
An Efficient Industrial Robot Calibrator With Multiplaner Constraints.
IEEE Trans. Ind. Informatics
Tinghui Chen, Weiyi Yang, Zhetao Zhang, Xin Luo
2024 J jnl
Asynchronous Parallel Fuzzy Stochastic Gradient Descent for High-Dimensional Incomplete Data Representation.
IEEE Trans. Fuzzy Syst.
Wen Qin, Xin Luo
2024 J jnl
Cycle time analysis for cluster tools with parallel process chambers, processing time variation, and chamber cleaning operations.
Expert Syst. Appl.
Chunrong Pan, Yiming Lai, Yan Qiao, Naiqi Wu, Xin Luo
2024 J jnl
Data Driven Vibration Control: A Review.
IEEE CAA J. Autom. Sinica
Weiyi Yang, Shuai Li, Xin Luo
2024 J jnl
End-to-end Graph Learning Approach for Cognitive Diagnosis of Student Tutorial.
CoRR
Fulai Yang, Di Wu, Yi He, Li Tao, Xin Luo
2024 J jnl
Fuzzy k-Winner-Take-All Network for Competitive Coordination in Multirobot Systems.
IEEE Trans. Fuzzy Syst.
Long Jin, Yutong Li, Xiaoyan Zhang, Xin Luo
2024 J jnl
InPlaceKV: in-place update scheme for SSD-based KV storage systems under update-intensive Worklaods.
Clust. Comput.
Jianing Zhao, Yubiao Pan, Huizhen Zhang, Mingwei Lin, Xin Luo, Zeshui Xu
2024 J jnl
Iterative Role Negotiation via the Bilevel GRA++ With Decision Tolerance.
IEEE Trans. Comput. Soc. Syst.
Qian Jiang, Dongning Liu, Haibin Zhu, Shijue Wu, Naiqi Wu, Xin Luo, Yan Qiao
2024 A* conf
MKG-FENN: A Multimodal Knowledge Graph Fused End-to-End Neural Network for Accurate Drug-Drug Interaction Prediction.
AAAI
Di Wu, Wu Sun, Yi He, Zhong Chen, Xin Luo
2024 J jnl
MMLF: Multi-Metric Latent Feature Analysis for High-Dimensional and Incomplete Data.
IEEE Trans. Serv. Comput.
Di Wu, Peng Zhang, Yi He, Xin Luo
2024 J jnl
Mini-Hes: A Parallelizable Second-order Latent Factor Analysis Model.
CoRR
Jialiang Wang, Weiling Li, Yurong Zhong, Xin Luo
2024 J jnl
Modified RNN for Solving Comprehensive Sylvester Equation With TDOA Application.
IEEE Trans. Neural Networks Learn. Syst.
Jingkun Yan, Long Jin, Xin Luo, Shuai Li
2024 J jnl
Multi-level sequence denoising with cross-signal contrastive learning for sequential recommendation.
Neural Networks
Xiaofei Zhu, Liang Li, Weidong Liu, Xin Luo
2024 J jnl
Parallel Adaptive Stochastic Gradient Descent Algorithms for Latent Factor Analysis of High-Dimensional and Incomplete Industrial Data.
IEEE Trans Autom. Sci. Eng.
Wen Qin, Xin Luo, Shuai Li, MengChu Zhou
2024 J jnl
Polarized message-passing in graph neural networks.
Artif. Intell.
Tiantian He, Yang Liu, Yew-Soon Ong, Xiaohu Wu, Xin Luo
2024 J jnl
Pseudo Gradient-Adjusted Particle Swarm Optimization for Accurate Adaptive Latent Factor Analysis.
IEEE Trans. Syst. Man Cybern. Syst.
Xin Luo, Jiufang Chen, Ye Yuan, Zidong Wang
2024 J jnl
SDGNN: Symmetry-Preserving Dual-Stream Graph Neural Networks.
IEEE CAA J. Autom. Sinica
Jiufang Chen, Ye Yuan, Xin Luo
2024 J jnl
Saliency-Aware Dual Embedded Attention Network for Multivariate Time-Series Forecasting in Information Technology Operations.
IEEE Trans. Ind. Informatics
Jiajia Li, Feng Tan, Cheng He, Zikai Wang, Haitao Song, Pengwei Hu, Xin Luo
2024 J jnl
Scheduling analysis of automotive glass manufacturing systems subject to sequence-independent setup time, no-idle machines, and permissive maximum total tardiness constraint.
Eng. Appl. Artif. Intell.
YunFang He, Yan Qiao, Naiqi Wu, Jiewu Leng, Xin Luo
2024 J jnl
Symmetry and Graph Bi-Regularized Non-Negative Matrix Factorization for Precise Community Detection.
IEEE Trans Autom. Sci. Eng.
Zhigang Liu, Xin Luo, MengChu Zhou
2024 J jnl
Temporal pattern-aware QoS prediction by Biased Non-negative Tucker Factorization of tensors.
Neurocomputing
Peng Tang, Tao Ruan, Hao Wu, Xin Luo
2024 J jnl
Tensor completion via joint reweighted tensor Q-nuclear norm for visual data recovery.
Signal Process.
Xiaoyang Cheng, Weichao Kong, Xin Luo, Wenjin Qin, Feng Zhang, Jianjun Wang
2024 B conf
Vibration Control using A Robust Input Shaper via Extended Kalman Filter-Incorporated Residual Neural Network.
SMC
Weiyi Yang, Shuai Li, Xin Luo
2023 J jnl
A Constraints Fusion-induced Symmetric Nonnegative Matrix Factorization Approach for Community Detection.
CoRR
Zhigang Liu, Xin Luo
2023 J jnl
A Differential Evolution-Enhanced Position-Transitional Approach to Latent Factor Analysis.
IEEE Trans. Emerg. Top. Comput. Intell.
Jia Chen, Renfang Wang, Di Wu, Xin Luo
2023 J jnl
A Double-Space and Double-Norm Ensembled Latent Factor Model for Highly Accurate Web Service QoS Prediction.
IEEE Trans. Serv. Comput.
Di Wu, Peng Zhang, Yi He, Xin Luo
2023 J jnl
A Dynamic Linear Bias Incorporation Scheme for Nonnegative Latent Factor Analysis.
CoRR
Yurong Zhong, Zhe Xie, Weiling Li, Xin Luo
2023 J jnl
A Graph-Incorporated Latent Factor Analysis Model for High-Dimensional and Sparse Data.
IEEE Trans. Emerg. Top. Comput.
Di Wu, Yi He, Xin Luo
2023 J jnl
A High-Order Proximity-Incorporated Nonnegative Matrix Factorization-Based Community Detector.
IEEE Trans. Emerg. Top. Comput. Intell.
Zhigang Liu, Yugen Yi, Xin Luo
2023 — conf
A Highly-Accurate Robot Calibration Method with Line Constraint.
ICNSC
Tinghui Chen, Shuai Li, Xin Luo
2023 J jnl
A Kalman-Filter-Incorporated Latent Factor Analysis Model for Temporally Dynamic Sparse Data.
IEEE Trans. Cybern.
Ye Yuan, Xin Luo, Mingsheng Shang, Zidong Wang
2023 J jnl
A Momentum-Accelerated Hessian-Vector-Based Latent Factor Analysis Model.
IEEE Trans. Serv. Comput.
Weiling Li, Xin Luo, Huaqiang Yuan, MengChu Zhou
2023 J jnl
A Second-Order Symmetric Non-Negative Latent Factor Model for Undirected Weighted Network Representation.
IEEE Trans. Netw. Sci. Eng.
Weiling Li, Renfang Wang, Xin Luo, MengChu Zhou
2023 J jnl
A Symmetry and Graph Regularized Nonnegative Matrix Factorization Model for Community Detection.
CoRR
Zhigang Liu, Xin Luo
2023 — conf
An Adaptive Alternating-direction-method-based Nonnegative Latent Factor Model.
ICDM (Workshops)
Yurong Zhong, Weiling Li, Zhigang Liu, Xin Luo
2023 J jnl
An Adaptive Divergence-Based Non-Negative Latent Factor Model.
IEEE Trans. Syst. Man Cybern. Syst.
Ye Yuan, Renfang Wang, Guangxiao Yuan, Xin Luo
2023 J jnl
An Alternating-Direction-Method of Multipliers-Incorporated Approach to Symmetric Non-Negative Latent Factor Analysis.
IEEE Trans. Neural Networks Learn. Syst.
Xin Luo, Yurong Zhong, Zidong Wang, Maozhen Li
2023 B conf
An Error Correction Mid-term Electricity Load Forecasting Model Based on Seasonal Decomposition.
SMC
Liping Zhang, Di Wu, Xin Luo
2023 J jnl
An Error Correction Mid-term Electricity Load Forecasting Model Based on Seasonal Decomposition.
CoRR
Liping Zhang, Di Wu, Xin Luo
2023 J jnl
An overview of data-driven battery health estimation technology for battery management system.
Neurocomputing
Minzhi Chen, Guijun Ma, Weibo Liu, Nianyin Zeng, Xin Luo
2023 J jnl
Constraint-Induced Symmetric Nonnegative Matrix Factorization for Accurate Community Detection.
Inf. Fusion
Zhigang Liu, Xin Luo, Zidong Wang, Xiaohui Liu
2023 J jnl
Cryptocurrency Transaction Network Embedding From Static and Dynamic Perspectives: An Overview.
IEEE CAA J. Autom. Sinica
Yue Zhou, Xin Luo, MengChu Zhou
2023 J jnl
Distributed and Time-Delayed -Winner-Take-All Network for Competitive Coordination of Multiple Robots.
IEEE Trans. Cybern.
Long Jin, Siqi Liang, Xin Luo, MengChu Zhou
2023 J jnl
Diversified Regularization Enhanced Training for Effective Manipulator Calibration.
IEEE Trans. Neural Networks Learn. Syst.
Zhibin Li, Shuai Li, Omaimah Omar Bamasag, Areej Alhothali, Xin Luo
2023 — book
Dynamic Network Representation Based on Latent Factorization of Tensors
Hao Wu, Xuke Wu, Xin Luo
2023 J jnl
Efficient Industrial Robot Calibration via a Novel Unscented Kalman Filter-Incorporated Variable Step-Size Levenberg-Marquardt Algorithm.
IEEE Trans. Instrum. Meas.
Zhibin Li, Shuai Li, Xin Luo
2023 J jnl
Error-Summation Enhanced Newton Algorithm for Model Predictive Control of Redundant Manipulators.
IEEE Trans. Ind. Electron.
Fan Zhang, Long Jin, Xin Luo
2023 J jnl
FCAN-MOPSO: An Improved Fuzzy-Based Graph Clustering Algorithm for Complex Networks With Multiobjective Particle Swarm Optimization.
IEEE Trans. Fuzzy Syst.
Lun Hu, Yue Yang, Zehai Tang, Yizhou He, Xin Luo
2023 J jnl
Fast and Accurate Non-Negative Latent Factor Analysis of High-Dimensional and Sparse Matrices in Recommender Systems.
IEEE Trans. Knowl. Data Eng.
Xin Luo, Yue Zhou, Zhigang Liu, MengChu Zhou
2023 J jnl
Growing Echo State Network With an Inverse-Free Weight Update Strategy.
IEEE Trans. Cybern.
Xiufang Chen, Xin Luo, Long Jin, Shuai Li, Mei Liu
2023 J jnl
HRST-LR: A Hessian Regularization Spatio-Temporal Low Rank Algorithm for Traffic Data Imputation.
IEEE Trans. Intell. Transp. Syst.
Xiuqin Xu, Mingwei Lin, Xin Luo, Zeshui Xu
2023 J jnl
Highly Accurate Manipulator Calibration via Extended Kalman Filter-Incorporated Residual Neural Network.
IEEE Trans. Ind. Informatics
Weiyi Yang, Shuai Li, Zhibin Li, Xin Luo
2023 J jnl
Kinematics-Based Motion-Force Control for Redundant Manipulators With Quaternion Control.
IEEE Trans Autom. Sci. Eng.
Zhengtai Xie, Long Jin, Xin Luo
2023 — conf
MMA: Multi-Metric-Autoencoder for Analyzing High-Dimensional and Incomplete Data.
ECML/PKDD (5)
Cheng Liang, Di Wu, Yi He, Teng Huang, Zhong Chen, Xin Luo
2023 J jnl
MNL: A Highly-Efficient Model for Large-scale Dynamic Weighted Directed Network Representation.
IEEE Trans. Big Data
Minzhi Chen, Chunlin He, Xin Luo
2023 B conf
Multi-Constrained Symmetric Nonnegative Latent Factor Analysis for Accurately Representing Undirected Weighted Networks.
SMC
Yurong Zhong, Zhe Xie, Weiling Li, Xin Luo
2023 J jnl
Multi-constrained Symmetric Nonnegative Latent Factor Analysis for Accurately Representing Large-scale Undirected Weighted Networks.
CoRR
Yurong Zhong, Zhe Xie, Weiling Li, Xin Luo
2023 J jnl
Neulft: A Novel Approach to Nonlinear Canonical Polyadic Decomposition on High-Dimensional Incomplete Tensors.
IEEE Trans. Knowl. Data Eng.
Xin Luo, Hao Wu, Zechao Li
2023 J jnl
Online Sparse Streaming Feature Selection Using Adapted Classification.
CoRR
Ruiyang Xu, Di Wu, Xin Luo
2023 B conf
Online Sparse Streaming Feature Selection via Decision Risk.
SMC
Ruiyang Xu, Di Wu, Xin Luo
2023 J jnl
Predicting Protein-Protein Interactions Using Sequence and Network Information via Variational Graph Autoencoder.
IEEE ACM Trans. Comput. Biol. Bioinform.
Xin Luo, Liwei Wang, Pengwei Hu, Lun Hu
2023 J jnl
Proximal Alternating-Direction-Method-of-Multipliers-Incorporated Nonnegative Latent Factor Analysis.
IEEE CAA J. Autom. Sinica
Fanghui Bi, Xin Luo, Bo Shen, Hongli Dong, Zidong Wang
2023 — conf
Proximal Symmetric Non-negative Latent Factor Analysis: A Novel Approach to Highly-Accurate Representation of Undirected Weighted Networks.
ICIC (4)
Yurong Zhong, Zhe Xie, Weiling Li, Xin Luo
2023 J jnl
Proximal Symmetric Non-negative Latent Factor Analysis: A Novel Approach to Highly-Accurate Representation of Undirected Weighted Networks.
CoRR
Yurong Zhong, Zhe Xie, Weiling Li, Xin Luo
2023 J jnl
Randomized sampling techniques based low-tubal-rank plus sparse tensor recovery.
Knowl. Based Syst.
Feng Zhang, Lihao Yang, Jianjun Wang, Xin Luo
2023 — book
Robot Control and Calibration - Innovative Control Schemes and Calibration Algorithms
Xin Luo, Zhibin Li, Long Jin, Shuai Li
2023 B conf
Spatio-Temporal Traffic Data Recovery Via Latent Factorization of Tensors Based on Tucker Decomposition.
SMC
Jiajia Mi, Hao Wu, Weiling Li, Xin Luo
2023 J jnl
Tensor Distribution Regression Based on the 3D Conventional Neural Networks.
IEEE CAA J. Autom. Sinica
Lin Chen, Xin Luo
2023 J jnl
Two-Stream Graph Convolutional Network-Incorporated Latent Feature Analysis.
IEEE Trans. Serv. Comput.
Fanghui Bi, Tiantian He, Yuetong Xie, Xin Luo
2022 J jnl
A Data-Characteristic-Aware Latent Factor Model for Web Services QoS Prediction.
IEEE Trans. Knowl. Data Eng.
Di Wu, Xin Luo, Mingsheng Shang, Yi He, Guoyin Wang, Xindong Wu
2022 J jnl
A Differential Evolution-Enhanced Latent Factor Analysis Model for High-dimensional and Sparse Data.
CoRR
Jia Chen, Di Wu, Xin Luo
2022 J jnl
A Distributed Framework for Large-scale Protein-protein Interaction Data Analysis and Prediction Using MapReduce.
IEEE CAA J. Autom. Sinica
Lun Hu, Shicheng Yang, Xin Luo, Huaqiang Yuan, Khaled Sedraoui, MengChu Zhou
2022 — conf
A Dynamic Linear Bias Incorporation Scheme for Nonnegative Latent Factor Analysis.
PRICAI (1)
Yurong Zhong, Zhe Xie, Weiling Li, Xin Luo
2022 J jnl
A Fast Fuzzy Clustering Algorithm for Complex Networks via a Generalized Momentum Method.
IEEE Trans. Fuzzy Syst.
Lun Hu, Xiangyu Pan, Zehai Tang, Xin Luo
2022 J jnl
A Latent Factor Analysis-Based Approach to Online Sparse Streaming Feature Selection.
IEEE Trans. Syst. Man Cybern. Syst.
Di Wu, Yi He, Xin Luo, MengChu Zhou
2022 J jnl
A Multi-Metric Latent Factor Model for Analyzing High-Dimensional and Sparse data.
CoRR
Di Wu, Peng Zhang, Yi He, Xin Luo
2022 J jnl
A Multilayered-and-Randomized Latent Factor Model for High-Dimensional and Sparse Matrices.
IEEE Trans. Big Data
Ye Yuan, Qiang He, Xin Luo, Mingsheng Shang
2022 J jnl
A New Calibration Method for Industrial Robot Based on Step-Size Levenberg-Marquardt Algorithm.
CoRR
Zhibin Li, Shuai Li, Xin Luo
2022 J jnl
A New Robot Arm Calibration Method Based on Cubic Interpolated Beetle Antennae Search Approach.
CoRR
Zhibin Li, Shuai Li, Xin Luo
2022 J jnl
A Node-collaboration-informed Graph Convolutional Network for Precise Representation to Undirected Weighted Graphs.
CoRR
Ying Wang, Ye Yuan, Xin Luo
2022 J jnl
A Novel Approach to Large-Scale Dynamically Weighted Directed Network Representation.
IEEE Trans. Pattern Anal. Mach. Intell.
Xin Luo, Hao Wu, Zhi Wang, Jianjun Wang, Deyu Meng
2022 J jnl
A Novel Approximate Spectral Clustering Algorithm With Dense Cores and Density Peaks.
IEEE Trans. Syst. Man Cybern. Syst.
Dongdong Cheng, Jinlong Huang, Sulan Zhang, Xiaohua Zhang, Xin Luo
2022 J jnl
A Novel Calibration System for Robot Arm via an Open Dataset and a Learning Perspective.
IEEE Trans. Circuits Syst. II Express Briefs
Zhibin Li, Shuai Li, Adam Francis, Xin Luo
2022 J jnl
A Novel Quadratic Interpolated Beetle Antennae Search for Manipulator Calibration.
CoRR
Zhibin Li, Shuai Li, Xin Luo
2022 J jnl
A PID-incorporated Latent Factorization of Tensors Approach to Dynamically Weighted Directed Network Analysis.
IEEE CAA J. Autom. Sinica
Hao Wu, Xin Luo, MengChu Zhou, Muhyaddin J. Rawa, Khaled Sedraoui, Aiiad Albeshri
2022 J jnl
A Posterior-Neighborhood-Regularized Latent Factor Model for Highly Accurate Web Service QoS Prediction.
IEEE Trans. Serv. Comput.
Di Wu, Qiang He, Xin Luo, Mingsheng Shang, Yi He, Guoyin Wang
2022 A* conf
A Two-Stream Light Graph Convolution Network-based Latent Factor Model for Accurate Cloud Service QoS Estimation.
ICDM
Fanghui Bi, Tiantian He, Xin Luo
2022 J jnl
Adaptive Divergence-based Non-negative Latent Factor Analysis.
CoRR
Ye Yuan, Guangxiao Yuan, Renfang Wang, Xin Luo
2022 J jnl
Advancing Non-Negative Latent Factorization of Tensors With Diversified Regularization Schemes.
IEEE Trans. Serv. Comput.
Hao Wu, Xin Luo, MengChu Zhou
2022 J jnl
An Acceleration-Level Data-Driven Repetitive Motion Planning Scheme for Kinematic Control of Robots With Unknown Structure.
IEEE Trans. Syst. Man Cybern. Syst.
Zhengtai Xie, Long Jin, Xin Luo, Bin Hu, Shuai Li
2022 J jnl
An Adaptive Alternating-direction-method-based Nonnegative Latent Factor Model.
CoRR
Yurong Zhong, Xin Luo
2022 J jnl
An Advancing Ensemble with Diversified Algorithms for Robot Arm Calibration.
CoRR
Zhibin Li, Shuai Li, Xin Luo
2022 J jnl
An Algorithm of Inductively Identifying Clusters From Attributed Graphs.
IEEE Trans. Big Data
Lun Hu, Shicheng Yang, Xin Luo, MengChu Zhou
2022 — conf
An Asynchronously Alternative Stochastic Gradient Descent Algorithm for Efficiently Parallel Latent Feature Analysis on Shared-Memory.
ICKG
Wen Qin, Xin Luo
2022 J jnl
An L
IEEE Trans. Neural Networks Learn. Syst.
Di Wu, Mingsheng Shang, Xin Luo, Zidong Wang
2022 J jnl
An α-β-Divergence-Generalized Recommender for Highly Accurate Predictions of Missing User Preferences.
IEEE Trans. Cybern.
Mingsheng Shang, Ye Yuan, Xin Luo, MengChu Zhou
2022 J jnl
Assimilating Second-Order Information for Building Non-Negative Latent Factor Analysis-Based Recommenders.
IEEE Trans. Syst. Man Cybern. Syst.
Weiling Li, Qiang He, Xin Luo, Zidong Wang
2022 J jnl
Distributed Competition of Multi-Robot Coordination Under Variable and Switching Topologies.
IEEE Trans Autom. Sci. Eng.
Long Jin, Yimeng Qi, Xin Luo, Shuai Li, Mingsheng Shang
2022 J jnl
Generalized Nesterov's Acceleration-Incorporated, Non-Negative and Adaptive Latent Factor Analysis.
IEEE Trans. Serv. Comput.
Xin Luo, Yue Zhou, Zhigang Liu, Lun Hu, MengChu Zhou
2022 J jnl
Graph-incorporated Latent Factor Analysis for High-dimensional and Sparse Matrices.
CoRR
Di Wu, Yi He, Xin Luo
2022 J jnl
Hierarchical Particle Swarm Optimization-incorporated Latent Factor Analysis for Large-Scale Incomplete Matrices.
IEEE Trans. Big Data
Jia Chen, Xin Luo, MengChu Zhou
2022 J jnl
High-order Order Proximity-Incorporated, Symmetry and Graph-Regularized Nonnegative Matrix Factorization for Community Detection.
CoRR
Zhigang Liu, Xin Luo
2022 J jnl
Large-Scale Affine Matrix Rank Minimization With a Novel Nonconvex Regularizer.
IEEE Trans. Neural Networks Learn. Syst.
Zhi Wang, Yu Liu, Xin Luo, Jianjun Wang, Chao Gao, Dezhong Peng, Wu Chen
2022 J jnl
Large-Scale and Scalable Latent Factor Analysis via Distributed Alternative Stochastic Gradient Descent for Recommender Systems.
IEEE Trans. Big Data
Xiaoyu Shi, Qiang He, Xin Luo, Yanan Bai, Mingsheng Shang
2022 — book
Latent Factor Analysis for High-dimensional and Sparse Matrices - A particle swarm optimization-based approach
Ye Yuan, Xin Luo
2022 J jnl
Low-Rank High-Order Tensor Completion With Applications in Visual Data.
IEEE Trans. Image Process.
Wenjin Qin, Hailin Wang, Feng Zhang, Jianjun Wang, Xin Luo, Tingwen Huang
2022 J jnl
Momentum-Incorporated Symmetric Non-Negative Latent Factor Models.
IEEE Trans. Big Data
Yurong Zhong, Long Jin, Mingsheng Shang, Xin Luo
2022 J jnl
Multi-Constrained Embedding for Accurate Community Detection on Undirected Networks.
IEEE Trans. Netw. Sci. Eng.
Qingxian Wang, Xinyu Liu, Tianqi Shang, Zhigang Liu, Han Yang, Xin Luo
2022 J jnl
Multi-Metric AutoRec for High Dimensional and Sparse User Behavior Data Prediction.
CoRR
Cheng Liang, Teng Huang, Yi He, Song Deng, Di Wu, Xin Luo
2022 J jnl
Neural Dynamics for Distributed Collaborative Control of Manipulators With Time Delays.
IEEE CAA J. Autom. Sinica
Long Jin, Xin Zheng, Xin Luo
2022 J jnl
Noise-Suppressing Neural Dynamics for Time-Dependent Constrained Nonlinear Optimization With Applications.
IEEE Trans. Syst. Man Cybern. Syst.
Lin Wei, Long Jin, Xin Luo
2022 J jnl
Nonnegative Latent Factor Analysis-Incorporated and Feature-Weighted Fuzzy Double $c$-Means Clustering for Incomplete Data.
IEEE Trans. Fuzzy Syst.
Yan Song, Ming Li, Zhengyu Zhu, Guisong Yang, Xin Luo
2022 J jnl
Novel Workload-Aware Approach to Mobile User Reallocation in Crowded Mobile Edge Computing Environment.
IEEE Trans. Intell. Transp. Syst.
Xuan Xiao, Yong Ma, Yunni Xia, MengChu Zhou, Xin Luo, Xu Wang, Xiaodong Fu, Wei Wei, Ning Jiang
2022 J jnl
PI-NLF: A Proportional-Integral Approach for Non-negative Latent Factor Analysis.
CoRR
Ye Yuan, Xin Luo
2022 J jnl
Position-Transitional Particle Swarm Optimization-Incorporated Latent Factor Analysis.
IEEE Trans. Knowl. Data Eng.
Xin Luo, Ye Yuan, Sili Chen, Nianyin Zeng, Zidong Wang
2022 J jnl
RNN for Repetitive Motion Generation of Redundant Robot Manipulators: An Orthogonal Projection-Based Scheme.
IEEE Trans. Neural Networks Learn. Syst.
Zhengtai Xie, Long Jin, Xin Luo, Zhongbo Sun, Mei Liu
2022 J jnl
Recurrent Neural Dynamics Models for Perturbed Nonstationary Quadratic Programs: A Control-Theoretical Perspective.
IEEE Trans. Neural Networks Learn. Syst.
Yimeng Qi, Long Jin, Xin Luo, MengChu Zhou
2022 J jnl
Robust k-WTA Network Generation, Analysis, and Applications to Multiagent Coordination.
IEEE Trans. Cybern.
Yimeng Qi, Long Jin, Xin Luo, Yang Shi, Mei Liu
2022 J jnl
Second-order Symmetric Non-negative Latent Factor Analysis.
CoRR
Weiling Li, Xin Luo
2022 J jnl
Symmetric Nonnegative Matrix Factorization-Based Community Detection Models and Their Convergence Analysis.
IEEE Trans. Neural Networks Learn. Syst.
Xin Luo, Zhigang Liu, Long Jin, Yue Zhou, MengChu Zhou
2022 J jnl
Symmetry and Nonnegativity-Constrained Matrix Factorization for Community Detection.
IEEE CAA J. Autom. Sinica
Zhigang Liu, Guangxiao Yuan, Xin Luo
2022 J jnl
Using Quadratic Interpolated Beetle Antennae Search to Enhance Robot Arm Calibration Accuracy.
IEEE Robotics Autom. Lett.
Zhibin Li, Shuai Li, Xin Luo
2021 J jnl
A Data-Driven Cyclic-Motion Generation Scheme for Kinematic Control of Redundant Manipulators.
IEEE Trans. Control. Syst. Technol.
Zhengtai Xie, Long Jin, Xin Luo, Shuai Li, Xiuchun Xiao
2021 J jnl
A Deep Latent Factor Model for High-Dimensional and Sparse Matrices in Recommender Systems.
IEEE Trans. Syst. Man Cybern. Syst.
Di Wu, Xin Luo, Mingsheng Shang, Yi He, Guoyin Wang, MengChu Zhou
2021 J jnl
A Fast Non-Negative Latent Factor Model Based on Generalized Momentum Method.
IEEE Trans. Syst. Man Cybern. Syst.
Xin Luo, Zhigang Liu, Shuai Li, Mingsheng Shang, Zidong Wang
2021 B conf
A Generalized Nesterov-Accelerated Hessian-Vector-Based Latent Factor Analysis Model for QoS Prediction.
CLOUD
Weiling Li, Xin Luo, MengChu Zhou
2021 B conf
A Truncated Newton Method-Based Symmetric Non-negative Latent Factor Model for Large-scale Undirected Networks Representation.
SMC
Weiling Li, Xin Luo
2021 J jnl
A new deep learning approach for the retinal hard exudates detection based on superpixel multi-feature extraction and patch-based CNN.
Neurocomputing
Chenxi Huang, Yongshuo Zong, Yimin Ding, Xin Luo, Kathy Clawson, Yonghong Peng
2021 J jnl
A proportional-integral-derivative-incorporated stochastic gradient descent-based latent factor analysis model.
Neurocomputing
Jinli Li, Ye Yuan, Tao Ruan, Jia Chen, Xin Luo
2021 B conf
Accurate Latent Factor Analysis via Particle Swarm Optimizers.
SMC
Jia Chen, Xin Luo, MengChu Zhou
2021 — conf
Adaptive Alternating Stochastic Gradient Descent Algorithms for Large-Scale Latent Factor Analysis.
SCC
Wen Qin, Xin Luo, MengChu Zhou
2021 J jnl
Adjusting Learning Depth in Nonnegative Latent Factorization of Tensors for Accurately Modeling Temporal Patterns in Dynamic QoS Data.
IEEE Trans Autom. Sci. Eng.
Xin Luo, Minzhi Chen, Hao Wu, Zhigang Liu, Huaqiang Yuan, MengChu Zhou
2021 J jnl
Algorithms of Unconstrained Non-Negative Latent Factor Analysis for Recommender Systems.
IEEE Trans. Big Data
Xin Luo, MengChu Zhou, Shuai Li, Di Wu, Zhigang Liu, Mingsheng Shang
2021 — conf
Alternating-direction-method of Multipliers-Based Symmetric Nonnegative Latent Factor Analysis for Large-scale Undirected Weighted Networks.
CASE
Yurong Zhong, Xin Luo
2021 — conf
An Auxiliary Learning Task-Enhanced Graph Convolutional Network Model for Highly-accurate Node Classification on Weakly Supervised Graphs.
SMDS
Zengmei Zhuo, Xin Luo, MengChu Zhou
2021 J jnl
An Effective Link-Based Clustering Algorithm for Detecting Overlapping Protein Complexes in Protein-Protein Interaction Networks.
IEEE Trans. Netw. Sci. Eng.
Lun Hu, Jun Zhang, Xiangyu Pan, Xin Luo, Huaqiang Yuan
2021 J jnl
An Instance-Frequency-Weighted Regularization Scheme for Non-Negative Latent Factor Analysis on High-Dimensional and Sparse Data.
IEEE Trans. Syst. Man Cybern. Syst.
Xin Luo, Zidong Wang, Mingsheng Shang
2021 J jnl
An overview of calibration technology of industrial robots.
IEEE CAA J. Autom. Sinica
Zhibin Li, Shuai Li, Xin Luo
2021 J jnl
Convergence Analysis of Single Latent Factor-Dependent, Nonnegative, and Multiplicative Update-Based Nonnegative Latent Factor Models.
IEEE Trans. Neural Networks Learn. Syst.
Zhigang Liu, Xin Luo, Zidong Wang
2021 — conf
Data-driven Industrial Robot Arm Calibration: A Machine Learning Perspective.
ICNSC
Zhibin Li, Shuai Li, Xin Luo
2021 — conf
Discovering Hidden Pattern in Large-scale Dynamically Weighted Directed Network via Latent Factorization of Tensors.
CASE
Hao Wu, Xin Luo, MengChu Zhou
2021 B conf
Efficient Representation to Dynamic QoS Data via Generalized Nesterov's Accelerated Gradient-incorporated Biased Non-negative Latent Factorization of Tensors.
SMC
Minzhi Chen, Xin Luo
2021 J jnl
Efficient and High-quality Recommendations via Momentum-incorporated Parallel Stochastic Gradient Descent-Based Learning.
IEEE CAA J. Autom. Sinica
Xin Luo, Wen Qin, Ani Dong, Khaled Sedraoui, MengChu Zhou
2021 B conf
Generalized Symmetric Nonnegative Latent Factor Analysis for Large-scale Undirected Weighted Networks.
IJCNN
Yurong Zhong, Xin Luo
2021 J jnl
Highly-Accurate Community Detection via Pointwise Mutual Information-Incorporated Symmetric Non-Negative Matrix Factorization.
IEEE Trans. Netw. Sci. Eng.
Xin Luo, Zhigang Liu, Mingsheng Shang, Jungang Lou, MengChu Zhou
2021 J jnl
Hyper-parameter-evolutionary latent factor analysis for high-dimensional and sparse data from recommender systems.
Neurocomputing
Jiufang Chen, Ye Yuan, Tao Ruan, Jia Chen, Xin Luo
2021 — conf
Incorporating Generalized Momentum Method to Accelerate Clustering Analysis of Complex Networks.
CASE
Lun Hu, Xiangyu Pan, Xin Luo
2021 A conf
Instance-Frequency-Weighted Regularized, Nonnegative and Adaptive Latent Factorization of Tensors for Dynamic QoS Analysis.
ICWS
Hao Wu, Xin Luo
2021 J jnl
Latent Factor-Based Recommenders Relying on Extended Stochastic Gradient Descent Algorithms.
IEEE Trans. Syst. Man Cybern. Syst.
Xin Luo, Dexian Wang, MengChu Zhou, Huaqiang Yuan
2021 B conf
Neural Latent Factorization of Tensors for Dynamically Weighted Directed Networks Analysis.
SMC
Hao Wu, Xin Luo, MengChu Zhou
2021 J jnl
Non-Negative Latent Factor Model Based on β-Divergence for Recommender Systems.
IEEE Trans. Syst. Man Cybern. Syst.
Xin Luo, Ye Yuan, MengChu Zhou, Zhigang Liu, Mingsheng Shang
2021 J jnl
Perturbed Manipulability Optimization in a Distributed Network of Redundant Robots.
IEEE Trans. Ind. Electron.
Long Jin, Jiazheng Zhang, Xin Luo, Mei Liu, Shuai Li, Lin Xiao, Zihao Yang
2021 B conf
Predicting Large-scale Protein-protein Interactions by Extracting Coevolutionary Patterns with MapReduce Paradigm.
SMC
Lun Hu, Bo-Wei Zhao, Shicheng Yang, Xin Luo, MengChu Zhou
2021 B conf
Relaxed Symmetric Non-negative Latent Factor Analysis for Large-scale Undirected Weighted Networks.
SMC
Yurong Zhong, Xin Luo
2021 J jnl
Reliability-Aware and Deadline-Constrained Mobile Service Composition Over Opportunistic Networks.
IEEE Trans Autom. Sci. Eng.
Qinglan Peng, Yunni Xia, MengChu Zhou, Xin Luo, Shu Wang, Yuandou Wang, Chunrong Wu, Shanchen Pang, Mingwei Lin
2021 J jnl
Robust Latent Factor Analysis for Precise Representation of High-Dimensional and Sparse Data.
IEEE CAA J. Autom. Sinica
Di Wu, Xin Luo
2021 — conf
Symmetry-constrained Non-negative Matrix Factorization Approach for Highly-Accurate Community Detection.
CASE
Zhigang Liu, Xin Luo, MengChu Zhou
2020 A conf
A Decentralized Collaborative Approach to Online Edge User Allocation in Edge Computing Environments.
ICWS
Qinglan Peng, Yunni Xia, Yan Wang, Chunrong Wu, Wanbo Zheng, Xin Luo, Shanchen Pang, Yong Ma, Chunxu Jiang
2020 A conf
A Decentralized Reactive Approach to Online Task Offloading in Mobile Edge Computing Environments.
ICSOC
Qinglan Peng, Yunni Xia, Yan Wang, Chunrong Wu, Xin Luo, Jia Lee
2020 J jnl
A Fast Deep AutoEncoder for high-dimensional and sparse matrices in recommender systems.
Neurocomputing
Jiajia Jiang, Weiling Li, Ani Dong, Quanhui Gou, Xin Luo
2020 A* conf
A Generalized and Fast-converging Non-negative Latent Factor Model for Predicting User Preferences in Recommender Systems.
WWW
Ye Yuan, Xin Luo, Mingsheng Shang, Di Wu
2020 A* conf
A Generalized-Momentum-Accelerated Hessian-Vector Algorithm for High-Dimensional and Sparse Data.
ICDM
Weiling Li, Xin Luo
2020 — conf
A Predictive-Trend-Aware and Critical-Path-Estimation-Based Method for Workflow Scheduling Upon Cloud Services.
SCC
Yi Pan, Xiaoning Sun, Yunni Xia, Wanbo Zheng, Xin Luo
2020 — conf
A Regularization-adaptive Non-negative Latent Factor Analysis-based Model For Recommender Systems.
ICHMS
Jiufang Chen, Xin Luo, MengChu Zhou
2020 — conf
Adaptive Regularization-Incorporated Latent Factor Analysis.
ICKG
Xin Luo, Ye Yuan, Di Wu
2020 J jnl
Improved Symmetric and Nonnegative Matrix Factorization Models for Undirected, Sparse and Large-Scaled Networks: A Triple Factorization-Based Approach.
IEEE Trans. Ind. Informatics
Yan Song, Ming Li, Xin Luo, Guisong Yang, Chongjing Wang
2020 J jnl
Incorporating the Coevolving Information of Substrates in Predicting HIV-1 Protease Cleavage Sites.
IEEE ACM Trans. Comput. Biol. Bioinform.
Lun Hu, Pengwei Hu, Xin Luo, Xiaohui Yuan, Zhu-Hong You
2020 J jnl
New Disturbance Rejection Constraint for Redundant Robot Manipulators: An Optimization Perspective.
IEEE Trans. Ind. Informatics
Dechao Chen, Shuai Li, Qing Wu, Xin Luo
2020 J jnl
Non-Negativity Constrained Missing Data Estimation for High-Dimensional and Sparse Matrices from Industrial Applications.
IEEE Trans. Cybern.
Xin Luo, MengChu Zhou, Shuai Li, Lun Hu, Mingsheng Shang
2020 J jnl
Obstacle Avoidance and Tracking Control of Redundant Robotic Manipulator: An RNN-Based Metaheuristic Approach.
IEEE Trans. Ind. Informatics
Ameer Hamza Khan, Shuai Li, Xin Luo
2020 A* conf
PMLF: Prediction-Sampling-based Multilayer-Structured Latent Factor Analysis.
ICDM
Di Wu, Long Jin, Xin Luo
2020 J jnl
Super-twisting ZNN for coordinated motion control of multiple robot manipulators with external disturbances suppression.
Neurocomputing
Dechao Chen, Shuai Li, Qing Wu, Xin Luo
2020 J jnl
Temporal Pattern-Aware QoS Prediction via Biased Non-Negative Latent Factorization of Tensors.
IEEE Trans. Cybern.
Xin Luo, Hao Wu, Huaqiang Yuan, MengChu Zhou
2020 A conf
Temporal Web Service QoS Prediction via Kalman Filter-Incorporated Latent Factor Analysis.
ECAI
Ye Yuan, Mingsheng Shang, Xin Luo
2019 J jnl
A Clustering Based Transfer Function for Volume Rendering Using Gray-Gradient Mode Histogram.
IEEE Access
Yisha Lan, Yimin Ding, Xin Luo, Yanzhao Zhang, Chenxi Huang, E. Y. K. Ng, Weihong Huang, Xuezhong Zhou, Jie Su, Yonghong Peng, Zhicheng Wang, Yongqiang Cheng, Wenliang Che
2019 — conf
A Data-Aware Latent Factor Model for Web Service QoS Prediction.
PAKDD (1)
Di Wu, Xin Luo, Mingsheng Shang, Yi He, Guoyin Wang, Xindong Wu
2019 A conf
A Novel Coalitional Game-Theoretic Approach for Energy-Aware Dynamic VM Consolidation in Heterogeneous Cloud Datacenters.
ICWS
Xuan Xiao, Yunni Xia, Feng Zeng, Wanbo Zheng, Xiaoning Sun, Qinglan Peng, Yu Guo, Xin Luo
2019 J jnl
A momentum-incorporated latent factorization of tensors model for temporal-aware QoS missing data prediction.
Neurocomputing
Qingxian Wang, Minzhi Chen, Mingsheng Shang, Xin Luo
2019 J jnl
An Effective Scheme for QoS Estimation via Alternating Direction Method-Based Matrix Factorization.
IEEE Trans. Serv. Comput.
Xin Luo, MengChu Zhou, Zidong Wang, Yunni Xia, Qingsheng Zhu
2019 J jnl
An adaptive latent factor model via particle swarm optimization.
Neurocomputing
Qingxian Wang, Sili Chen, Xin Luo
2019 B conf
Convergence Analysis of an SLF-NMU Algorithm for Non-negative Latent Factor Analysis on a High-Dimensional and Sparse Matrix.
SMC
Zhigang Liu, Xin Luo
2019 J jnl
Effects of Extended Stochastic Gradient Descent Algorithms on Improving Latent Factor-Based Recommender Systems.
IEEE Robotics Autom. Lett.
Xin Luo, MengChu Zhou
2019 J jnl
Efficiently Detecting Protein Complexes from Protein Interaction Networks via Alternating Direction Method of Multipliers.
IEEE ACM Trans. Comput. Biol. Bioinform.
Lun Hu, Xiaohui Yuan, Xing Liu, Shengwu Xiong, Xin Luo
2019 J jnl
Elastic-net regularized latent factor analysis-based models for recommender systems.
Neurocomputing
Dexian Wang, Yanbin Chen, Junxiao Guo, Xiaoyu Shi, Chunlin He, Xin Luo, Huaqiang Yuan
2019 A conf
Joint Operator Scaling and Placement for Distributed Stream Processing Applications in Edge Computing.
ICSOC
Qinglan Peng, Yunni Xia, Yan Wang, Chunrong Wu, Xin Luo, Jia Lee
2019 A conf
Mobility-Aware and Migration-Enabled Online Edge User Allocation in Mobile Edge Computing.
ICWS
Qinglan Peng, Yunni Xia, Feng Zeng, Jia Lee, Chunrong Wu, Xin Luo, Wanbo Zheng, Hui Liu, Yidan Qin, Peng Chen
2019 — conf
Online Feature Selection with Capricious Streaming Features: A General Framework.
IEEE BigData
Di Wu, Yi He, Xin Luo, Mingsheng Shang, Xindong Wu
2019 J jnl
Patient-Specific Coronary Artery 3D Printing Based on Intravascular Optical Coherence Tomography and Coronary Angiography.
Complex.
Chenxi Huang, Yisha Lan, Sirui Chen, Qing Liu, Xin Luo, Gaowei Xu, Wen Zhou, Fan Lin, Yonghong Peng, Eddie Y. K. Ng, Yongqiang Cheng, Nianyin Zeng, Guokai Zhang, Wenliang Che
2019 J jnl
Quantitative Analysis of Immunochromatographic Strip Based on Convolutional Neural Network.
IEEE Access
Nianyin Zeng, Han Li, Yurong Li, Xin Luo
2019 J jnl
RNN for Solving Perturbed Time-Varying Underdetermined Linear System With Double Bound Limits on Residual Errors and State Variables.
IEEE Trans. Ind. Informatics
Huiyan Lu, Long Jin, Xin Luo, Bolin Liao, Dongsheng Guo, Lin Xiao
2019 J jnl
Randomized latent factor model for high-dimensional and sparse matrices from industrial applications.
IEEE CAA J. Autom. Sinica
Mingsheng Shang, Xin Luo, Zhigang Liu, Jia Chen, Ye Yuan, MengChu Zhou
2019 J jnl
Wavelet Denoising Algorithm Based on NDOA Compressed Sensing for Fluorescence Image of Microarray.
IEEE Access
Zhenhua Gan, Fumin Zou, Nianyin Zeng, Baoping Xiong, Lyu-Chao Liao, Han Li, Xin Luo, Min Du
2018 — conf
A Fluctuation-Aware Approach for Predictive Web Service Composition.
SCC
Xiaoning Sun, Jiangchuan Chen, Yunni Xia, Qiang He, Yuandou Wang, Xin Luo, Rongqing Zhang, Wuhong Han, Quanwang Wu
2018 J jnl
A Highly Accurate Framework for Self-Labeled Semisupervised Classification in Industrial Applications.
IEEE Trans. Ind. Informatics
Di Wu, Xin Luo, Guoyin Wang, Mingsheng Shang, Ye Yuan, Huyong Yan
2018 — conf
A Multi-stage Dynamic Game-Theoretic Approach for Multi-Workflow Scheduling on Heterogeneous Virtual Machines from Multiple Infrastructure-as-a-Service Clouds.
SCC
Yuandou Wang, Jiajia Jiang, Yunni Xia, Quanwang Wu, Xin Luo, Qingsheng Zhu
2018 B conf
Accelerated Non-negative Latent Factor Analysis on High-Dimensional and Sparse Matrices via Generalized Momentum Method.
SMC
Zhigang Liu, Xin Luo, Shuai Li, Mingsheng Shang
2018 J jnl
An Inherently Nonnegative Latent Factor Model for High-Dimensional and Sparse Matrices from Industrial Applications.
IEEE Trans. Ind. Informatics
Xin Luo, MengChu Zhou, Shuai Li, Mingsheng Shang
2018 J jnl
Editorial: Neural & Bio-inspired Processing and Robot Control.
Frontiers Neurorobotics
Ameer Hamza Khan, Shuai Li, Xuefeng Zhou, Yangming Li, Muhammad Umer Khan, Xin Luo, Huanqing Wang
2018 J jnl
Effects of preprocessing and training biases in latent factor models for recommender systems.
Neurocomputing
Ye Yuan, Xin Luo, Mingsheng Shang
2018 — conf
Elastic net-regularized latent factor model for recommender systems.
ICNSC
Xi Cheng, Xin Luo
2018 J jnl
Incorporation of Efficient Second-Order Solvers Into Latent Factor Models for Accurate Prediction of Missing QoS Data.
IEEE Trans. Cybern.
Xin Luo, MengChu Zhou, Shuai Li, Yunni Xia, Zhu-Hong You, Qingsheng Zhu, Hareton Leung
2018 J jnl
Incremental Slope-one recommenders.
Neurocomputing
Qing-Xian Wang, Xin Luo, Yan Li, Xiaoyu Shi, Liang Gu, Mingsheng Shang
2018 J jnl
Modified Primal-Dual Neural Networks for Motion Control of Redundant Manipulators With Dynamic Rejection of Harmonic Noises.
IEEE Trans. Neural Networks Learn. Syst.
Shuai Li, MengChu Zhou, Xin Luo
2018 J jnl
Neural Dynamics for Cooperative Control of Redundant Robot Manipulators.
IEEE Trans. Ind. Informatics
Long Jin, Shuai Li, Xin Luo, Yangming Li, Bin Qin
2018 — conf
Performance of nonnegative latent factor models with β-distance functions in recommender systems.
ICNSC
Ye Yuan, Xin Luo
2018 — conf
Performance of symmetric non-negative matrix factorization-based community detector with learning depth variations.
ICNSC
Qingxiu Qu, Xin Luo
2018 — conf
Randomized latent factor model for high-dimensional and sparse matrices from industrial applications.
ICNSC
Jia Chen, Xin Luo
2018 J jnl
Self-training semi-supervised classification based on density peaks of data.
Neurocomputing
Di Wu, Mingsheng Shang, Xin Luo, Ji Xu, Huyong Yan, Weihui Deng, Guoyin Wang
2018 — conf
Unconstrained Non-negative Factorization of High-dimensional and Sparse Matrices in Recommender Systems.
CASE
Xin Luo, MengChu Zhou
2018 J jnl
Velocity-Level Control With Compliance to Acceleration-Level Constraints: A Novel Scheme for Manipulator Redundancy Resolution.
IEEE Trans. Ind. Informatics
Yinyan Zhang, Shuai Li, Jie Gui, Xin Luo
2017 B conf
A dynamic neural controller for adaptive optimal control of permanent magnet DC motors.
IJCNN
Yinyan Zhang, Shuai Li, Xin Luo, Mingsheng Shang
2017 J jnl
An Energy-Aware and Under-SLA-Constraints VM Consolidation Strategy Based on the Optimal Matching Method.
Int. J. Web Serv. Res.
Weiling Li, Yongbo Wang, Yuandou Wang, Yunni Xia, Xin Luo, Quanwang Wu
2017 J jnl
Distributed Winner-Take-All in Dynamic Networks.
IEEE Trans. Autom. Control.
Shuai Li, MengChu Zhou, Xin Luo, Zhu-Hong You
2017 — conf
Effect of linear biases in latent factor models on high-dimensional and sparse matrices from recommender systems.
ICNSC
Ye Yuan, Xin Luo, Mingsheng Shang, Xin-Yi Cai
2017 — conf
Empirical analysis of collaborative filtering-based recommenders in temporally evolving systems.
ICNSC
Xiaoyu Shi, Xin Luo, Mingsheng Shang, Xin-Yi Cai
2017 J jnl
Highly Efficient Framework for Predicting Interactions Between Proteins.
IEEE Trans. Cybern.
Zhu-Hong You, MengChu Zhou, Xin Luo, Shuai Li
2017 J jnl
Long-term performance of collaborative filtering based recommenders in temporally evolving systems.
Neurocomputing
Xiaoyu Shi, Xin Luo, Mingsheng Shang, Liang Gu
2017 J jnl
Manipulability Optimization of Redundant Manipulators Using Dynamic Neural Networks.
IEEE Trans. Ind. Electron.
Long Jin, Shuai Li, Hung Manh La, Xin Luo
2017 — conf
Non-negativity constrained missing data estimation for high-dimensional and sparse matrices.
CASE
Xin Luo, Shuai Li
2017 B conf
Nonlinearly-activated noise-tolerant zeroing neural network for distributed motion planning of multiple robot arms.
IJCNN
Long Jin, Shuai Li, Xin Luo, Mingsheng Shang
2017 J jnl
On dynamic performance estimation of fault-prone Infrastructure-as-a-Service clouds.
Int. J. Distributed Sens. Networks
Wanbo Zheng, Yuandou Wang, Yunni Xia, Quanwang Wu, Lei Wu, Kunyin Guo, Weiling Li, Xin Luo, Qingsheng Zhu
2017 J jnl
Percentile Performance Estimation of Unreliable IaaS Clouds and Their Cost-Optimal Capacity Decision.
IEEE Access
Wanbo Zheng, MengChu Zhou, Lei Wu, Yunni Xia, Xin Luo, Shanchen Pang, Qingsheng Zhu, Yanqing Wu
2017 J jnl
Performance of latent factor models with extended linear biases.
Knowl. Based Syst.
Jia Chen, Xin Luo, Ye Yuan, Mingsheng Shang, Zhong Ming, Zhang Xiong
2017 A* conf
Symmetric Non-negative Latent Factor Models for Undirected Large Networks.
IJCAI
Xin Luo, Mingsheng Shang
2017 J jnl
Symmetric and Nonnegative Latent Factor Models for Undirected, High-Dimensional, and Sparse Networks in Industrial Applications.
IEEE Trans. Ind. Informatics
Xin Luo, Jianpei Sun, Zidong Wang, Shuai Li, Mingsheng Shang
2016 J jnl
A Nonnegative Latent Factor Model for Large-Scale Sparse Matrices in Recommender Systems via Alternating Direction Method.
IEEE Trans. Neural Networks Learn. Syst.
Xin Luo, MengChu Zhou, Shuai Li, Zhu-Hong You, Yunni Xia, Qingsheng Zhu
2016 J jnl
A Novel Approach to Extracting Non-Negative Latent Factors From Non-Negative Big Sparse Matrices.
IEEE Access
Xin Luo, MengChu Zhou, Mingsheng Shang, Shuai Li, Yunni Xia
2016 J jnl
An Incremental-and-Static-Combined Scheme for Matrix-Factorization-Based Collaborative Filtering.
IEEE Trans Autom. Sci. Eng.
Xin Luo, MengChu Zhou, Hareton Leung, Yunni Xia, Qingsheng Zhu, Zhu-Hong You, Shuai Li
2016 J jnl
Construction of reliable protein-protein interaction networks using weighted sparse representation based classifier with pseudo substitution matrix representation features.
Neurocomputing
Yu-An Huang, Zhu-Hong You, Xiao Li, Xing Chen, Pengwei Hu, Shuai Li, Xin Luo
2016 — conf
Discovering Items with Potential Popularity on Social Media.
DASC/PiCom/DataCom/CyberSciTech
Khushnood Abbas, Xin Luo, Mingsheng Shang
2016 J jnl
Discovering items with potential popularity on social media.
CoRR
Khushnood Abbas, Mingsheng Shang, Xin Luo
2016 A* conf
Efficient Extraction of Non-negative Latent Factors from High-Dimensional and Sparse Matrices in Industrial Applications.
ICDM
Xin Luo, Mingsheng Shang, Shuai Li
2016 J jnl
Generating Highly Accurate Predictions for Missing QoS Data via Aggregating Nonnegative Latent Factor Models.
IEEE Trans. Neural Networks Learn. Syst.
Xin Luo, MengChu Zhou, Yunni Xia, Qingsheng Zhu, Ahmed Chiheb Ammari, Ahmed Alabdulwahab
2016 J jnl
Inverse-Free Extreme Learning Machine With Optimal Information Updating.
IEEE Trans. Cybern.
Shuai Li, Zhu-Hong You, Hongliang Guo, Xin Luo, Zhong-Qiu Zhao
2016 C conf
On Stochastic Performance and Cost-Aware Optimal Capacity Planning of Unreliable Infrastructure-as-a-Service Cloud.
ICA3PP
Weiling Li, Lei Wu, Yunni Xia, Yuandou Wang, Kunyin Guo, Xin Luo, Mingwei Lin, Wanbo Zheng
2016 J jnl
On the performance and power consumption analysis of elastic clouds.
Concurr. Comput. Pract. Exp.
Kunyi Guo, Ke Yu, Shanchen Pang, Dan Yang, Jun Huang, Yunni Xia, Xin Luo, Jia Li
2016 B conf
Regularizaed extraction of non-negative latent factors from high-dimensional sparse matrices.
SMC
Xin Luo, Shuai Li, MengChu Zhou
2016 J jnl
Sequence-based prediction of protein-protein interactions using weighted sparse representation model combined with global encoding.
BMC Bioinform.
Yu-An Huang, Zhu-Hong You, Xing Chen, Keith C. C. Chan, Xin Luo
2015 B conf
A Hessian-Free Optimization-Based Approach to Latent-Factor-Based QoS Predictors with High Accuracy.
SMC
Xin Luo, Yunni Xia, Qingsheng Zhu, MengChu Zhou
2015 J jnl
A Stochastic Approach to Analysis of Energy-Aware DVS-Enabled Cloud Datacenters.
IEEE Trans. Syst. Man Cybern. Syst.
Yunni Xia, MengChu Zhou, Xin Luo, Shanchen Pang, Qingsheng Zhu
2015 J jnl
A time series and reduction-based model for modeling and QoS prediction of service compositions.
Concurr. Comput. Pract. Exp.
Jia Li, Xin Luo, Yunni Xia, Yakai Han, Qingsheng Zhu
2015 J jnl
An Efficient Second-Order Approach to Factorize Sparse Matrices in Recommender Systems.
IEEE Trans. Ind. Informatics
Xin Luo, MengChu Zhou, Shuai Li, Yunni Xia, Zhuhong You, Qingsheng Zhu, Hareton Leung
2015 J jnl
Improving network topology-based protein interactome mapping via collaborative filtering.
Knowl. Based Syst.
Xin Luo, Zhong Ming, Zhuhong You, Shuai Li, Yunni Xia, Hareton Leung
2015 J jnl
Stochastic Modeling and Performance Analysis of Migration-Enabled and Error-Prone Clouds.
IEEE Trans. Ind. Informatics
Yunni Xia, MengChu Zhou, Xin Luo, Shanchen Pang, Qingsheng Zhu
2015 J jnl
Stochastic Modeling and Quality Evaluation of Infrastructure-as-a-Service Clouds.
IEEE Trans Autom. Sci. Eng.
Yunni Xia, MengChu Zhou, Xin Luo, Qingsheng Zhu, Jia Li, Yu Huang
2014 — conf
A time series and reduction based model for QoS prediction of service ontologies.
ICNSC
Yunni Xia, Jingjing Lv, MengChu Zhou, Qingsheng Zhu, Xin Luo
2014 J jnl
An Efficient Non-Negative Matrix-Factorization-Based Approach to Collaborative Filtering for Recommender Systems.
IEEE Trans. Ind. Informatics
Xin Luo, MengChu Zhou, Yunni Xia, Qingsheng Zhu
2014 — conf
Predicting web service QoS via matrix-factorization-based collaborative filtering under non-negativity constraint.
WOCC
Xin Luo, MengChu Zhou, Yunni Xia, Qingsheng Zhu
2013 J jnl
A Petri-Net-Based Approach to Reliability Determination of Ontology-Based Service Compositions.
IEEE Trans. Syst. Man Cybern. Syst.
Yunni Xia, Xin Luo, Jia Li, Qingsheng Zhu
2013 — conf
A comprehensive QoS determination model for Infrastructure-as-a-Service clouds.
CASE
Yunni Xia, MengChu Zhou, Xin Luo, Qingsheng Zhu
2013 J jnl
Applying the learning rate adaptation to the matrix factorization based collaborative filtering.
Knowl. Based Syst.
Xin Luo, Yunni Xia, Qingsheng Zhu
2013 J jnl
Boosting the K-Nearest-Neighborhood based incremental collaborative filtering.
Knowl. Based Syst.
Xin Luo, Yunni Xia, Qingsheng Zhu, Yi Li
2013 — conf
Dependability Prediction of WS-BPEL Service Compositions Using Petri Net and Time Series Models.
SOSE
Yunni Xia, Jian Ding, Xin Luo, Qingsheng Zhu
2012 J jnl
A non-Markovian stochastic Petri net-based approach to performance evaluation of ontology-based service composition.
Concurr. Comput. Pract. Exp.
Yunni Xia, Neng Wan, Gang Dai, Xin Luo, Tianhao Sun
2012 J jnl
A parallel matrix factorization based recommender by alternating stochastic gradient decent.
Eng. Appl. Artif. Intell.
Xin Luo, Huijun Liu, Gaopeng Gou, Yunni Xia, Qingsheng Zhu
2012 Misc conf
Cloud Backup Scheduling Algorithm Based on Cloud State Table and Cloud Resources Table.
WISA
Liang Ge, Junduo Yang, Qingsheng Zhu, Qiang Chen, Kang Lv, Qianqian Wang, Jie Pei, Xin Luo
2012 J jnl
Improving neighborhood based Collaborative Filtering via integrated folksonomy information.
Pattern Recognit. Lett.
Xin Luo, Yuanxin Ouyang, Zhang Xiong
2012 J jnl
Incremental Collaborative Filtering recommender based on Regularized Matrix Factorization.
Knowl. Based Syst.
Xin Luo, Yunni Xia, Qingsheng Zhu
2011 J jnl
Improving Latent Factor Model Based Collaborative Filtering via Integrated Folksonomy Factors.
Int. J. Uncertain. Fuzziness Knowl. Based Syst.
Xin Luo, Yuanxin Ouyang, Zhang Xiong
2011 J jnl
Improving Matrix Factorization-Based Recommender via Ensemble Methods.
Int. J. Inf. Technol. Decis. Mak.
Xin Luo, Yuanxin Ouyang, Xiong Zhang