A Novel Approach to Large-Scale Dynamically Weighted Directed Network Representation

Efficient and High-quality Recommendations via Momentum-incorporated Parallel Stochastic Gradient Descent-Based Learning

(2021) Xin Luo et al.   IEEE-CAA Journal of Automatica Sinica

Learning Dynamics and Heterogeneity of Spatial-Temporal Graph Data for Traffic Forecasting

(2021) Shengnan Guo et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

Embedding Traffic Network Characteristics Using Tensor for Improved Traffic Prediction

(2020) Manish Bhanu et al.   IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS

Accelerated Variance Reduction Stochastic ADMM for Large-Scale Machine Learning

(2020) Yuanyuan Liu et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Position-Transitional Particle Swarm Optimization-Incorporated Latent Factor Analysis

(2020) Xin Luo et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

GAIN: Graph Attention & Interaction Network for Inductive Semi-Supervised Learning Over Large-Scale Graphs

(2020) Yunpeng Weng et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

Social Anchor-Unit Graph Regularized Tensor Completion for Large-Scale Image Retagging

(2019) Jinhui Tang et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Quantum supremacy using a programmable superconducting processor

(2019) Frank Arute et al.   NATURE

A momentum-incorporated latent factorization of tensors model for temporal-aware QoS missing data prediction

(2019) Qingxian Wang et al.   NEUROCOMPUTING

Distributed Caching Mechanism for Popular Services Distribution in Converged Overlay Networks

(2019) Wei Zhang et al.   IEEE TRANSACTIONS ON BROADCASTING

Tensor Robust Principal Component Analysis with a New Tensor Nuclear Norm

(2019) Canyi Lu et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Non-Negativity Constrained Missing Data Estimation for High-Dimensional and Sparse Matrices from Industrial Applications

(2019) Xin Luo et al.   IEEE Transactions on Cybernetics

Temporal Pattern-Aware QoS Prediction via Biased Non-Negative Latent Factorization of Tensors

(2019) Xin Luo et al.   IEEE Transactions on Cybernetics

Tensor Graphical Model: Non-Convex Optimization and Statistical Inference

(2019) Xiang Lyu et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Predicting Citation Count of Scientists as a Link Prediction Problem

(2019) Ertan Butun et al.   IEEE Transactions on Cybernetics

Tensor Low-Rank Representation for Data Recovery and Clustering

(2019) Pan Zhou et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

An Inherently Nonnegative Latent Factor Model for High-Dimensional and Sparse Matrices from Industrial Applications

(2018) Xin Luo et al.   IEEE Transactions on Industrial Informatics

Non-Negative Matrix Factorizations for Multiplex Network Analysis

(2018) Vladimir Gligorijevic et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Effects of preprocessing and training biases in latent factor models for recommender systems

(2018) Ye Yuan et al.   NEUROCOMPUTING

Dendritic Neuron Model With Effective Learning Algorithms for Classification, Approximation, and Prediction

(2018) Shangce Gao et al.   IEEE Transactions on Neural Networks and Learning Systems

Social Synchrony on Complex Networks

(2018) Qi Xuan et al.   IEEE Transactions on Cybernetics

Incorporation of Efficient Second-Order Solvers Into Latent Factor Models for Accurate Prediction of Missing QoS Data

(2018) Xin Luo et al.   IEEE Transactions on Cybernetics

Modeling Large-Scale Dynamic Social Networks via Node Embeddings

(2018) Aakas Zhiyuli et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

Feature Extraction for Incomplete Data Via Low-Rank Tensor Decomposition With Feature Regularization

(2018) Qiquan Shi et al.   IEEE Transactions on Neural Networks and Learning Systems

ADMM-CSNet: A Deep Learning Approach for Image Compressive Sensing

(2018) Yan Yang et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Nodes' Evolution Diversity and Link Prediction in Social Networks

(2017) Huan Wang et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

A Coalition Formation Game for Distributed Node Clustering in Mobile Ad Hoc Networks

(2017) Raphael Massin et al.   IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS

Diverse Non-Negative Matrix Factorization for Multiview Data Representation

(2017) Jing Wang et al.   IEEE Transactions on Cybernetics

A Survey of Link Prediction in Complex Networks

(2016) Víctor Martínez et al.   ACM COMPUTING SURVEYS

Scalable Temporal Latent Space Inference for Link Prediction in Dynamic Social Networks

(2016) Linhong Zhu et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

A Flexible and Efficient Algorithmic Framework for Constrained Matrix and Tensor Factorization

(2016) Kejun Huang et al.   IEEE TRANSACTIONS ON SIGNAL PROCESSING

Multi-Dimensional QoS Prediction for Service Recommendations

(2016) Shangguang Wang et al.   IEEE Transactions on Services Computing

Generalized Higher Order Orthogonal Iteration for Tensor Learning and Decomposition

(2016) Yuanyuan Liu et al.   IEEE Transactions on Neural Networks and Learning Systems

Tensors for Data Mining and Data Fusion

(2016) Evangelos E. Papalexakis et al.   ACM Transactions on Intelligent Systems and Technology

Bayesian CP Factorization of Incomplete Tensors with Automatic Rank Determination

(2015) Qibin Zhao et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Recommendation in an Evolving Service Ecosystem Based on Network Prediction

(2014) Keman Huang et al.   IEEE Transactions on Automation Science and Engineering

Compressive Sensing of Sparse Tensors

(2014) Shmuel Friedland et al.   IEEE TRANSACTIONS ON IMAGE PROCESSING

On the Linear Convergence of the ADMM in Decentralized Consensus Optimization

(2014) Wei Shi et al.   IEEE TRANSACTIONS ON SIGNAL PROCESSING

A Fast Algorithm for Nonnegative Matrix Factorization and Its Convergence

(2014) Li-Xin Li et al.   IEEE Transactions on Neural Networks and Learning Systems

An Overlay-Based Data Mining Architecture Tolerant to Physical Network Disruptions

(2014) Katsuya Suto et al.   IEEE Transactions on Emerging Topics in Computing

Characterizing the Topology of Probabilistic Biological Networks

(2013) Andrei Todor et al.   IEEE-ACM Transactions on Computational Biology and Bioinformatics

An alternating direction algorithm for matrix completion with nonnegative factors

(2012) Yangyang Xu et al.   Frontiers of Mathematics in China

A Shapley Value-Based Approach to Discover Influential Nodes in Social Networks

(2010) Ramasuri Narayanam et al.   IEEE Transactions on Automation Science and Engineering

Predicting missing links via local information

(2009) Tao Zhou et al.   EUROPEAN PHYSICAL JOURNAL B