Jia Wu

Weiping Tu

Jessica J. M. Monaghan

Paul F. Sowman

David McAlpine

Neural Networks, July, 2023

C-DeepTrust: A Context-Aware Deep Trust Prediction Model in Online Social Networks.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., June, 2023

Deep spatial-temporal structure learning for rumor detection on Twitter.

[BibT_eX]

[DOI]

Neural Comput. Appl., June, 2023

Trip Reinforcement Recommendation with Graph-based Representation Learning.

[BibT_eX]

[DOI]

ACM Trans. Knowl. Discov. Data, May, 2023

Adaptive curvature exploration geometric graph neural network.

[BibT_eX]

[DOI]

Knowl. Inf. Syst., May, 2023

Multi-View Tensor Graph Neural Networks Through Reinforced Aggregation.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., April, 2023

Tracking the Evolution of Clusters in Social Media Streams.

[BibT_eX]

[DOI]

IEEE Trans. Big Data, April, 2023

A robust feature reinforcement framework for heterogeneous graphs neural networks.

[BibT_eX]

[DOI]

Future Gener. Comput. Syst., April, 2023

Signed Network Representation by Preserving Multi-Order Signed Proximity.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., March, 2023

Temporal Link Prediction With Motifs for Social Networks.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., March, 2023

Keywords-enhanced Deep Reinforcement Learning Model for Travel Recommendation.

[BibT_eX]

[DOI]

ACM Trans. Web, February, 2023

ShVEEGc: EEG Clustering With Improved Cosine Similarity-Transformed Shapley Value.

[BibT_eX]

[DOI]

IEEE Trans. Emerg. Top. Comput. Intell., February, 2023

Glider: rethinking congestion control with deep reinforcement learning.

[BibT_eX]

[DOI]

World Wide Web (WWW), January, 2023

Intra- and inter-association attention network-enhanced policy learning for social group recommendation.

[BibT_eX]

[DOI]

World Wide Web (WWW), January, 2023

Cross-Level Dependability Assessment With a Distributed Split Mechanism for Wireless Communication Systems.

[BibT_eX]

[DOI]

IEEE Trans. Netw. Sci. Eng., 2023

Online Active Learning for Drifting Data Streams.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2023

Tracking With Mutual Attention Network.

[BibT_eX]

[DOI]

IEEE Trans. Multim., 2023

A Survey of Community Detection Approaches: From Statistical Modeling to Deep Learning.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2023

Facial Expression Recognition on the High Aggregation Subgraphs.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2023

SRDF: Single-Stage Rotate Object Detector via Dense Prediction and False Positive Suppression.

[BibT_eX]

[DOI]

IEEE Trans. Geosci. Remote. Sens., 2023

Exploratory Adversarial Attacks on Graph Neural Networks for Semi-Supervised Node Classification.

[BibT_eX]

[DOI]

Pattern Recognit., 2023

Multi-Aspect enhanced Graph Neural Networks for recommendation.

[BibT_eX]

[DOI]

Neural Networks, 2023

Functional connectivity learning via Siamese-based SPD matrix representation of brain imaging data.

[BibT_eX]

[DOI]

Jessica J. M. Monaghan

Paul F. Sowman

David McAlpine

Neural Networks, 2023

Self-supervised Dual Hypergraph learning with Intent Disentanglement for session-based recommendation.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2023

Visual tracking with dumbbell selection network.

[BibT_eX]

[DOI]

Neurocomputing, 2023

Incorporating user rating credibility in recommender systems.

[BibT_eX]

[DOI]

Future Gener. Comput. Syst., 2023

Exploring Sparsity in Graph Transformers.

[BibT_eX]

[DOI]

CoRR, 2023

Careful Selection and Thoughtful Discarding: Graph Explicit Pooling Utilizing Discarded Nodes.

[BibT_eX]

[DOI]

CoRR, 2023

Uncertainty-guided Boundary Learning for Imbalanced Social Event Detection.

[BibT_eX]

[DOI]

CoRR, 2023

Hy-DeFake: Hypergraph Neural Networks for Detecting Fake News in Online Social Networks.

[BibT_eX]

[DOI]

CoRR, 2023

Heterogeneous Social Event Detection via Hyperbolic Graph Representations.

[BibT_eX]

[DOI]

CoRR, 2023

A Comprehensive Survey on Pretrained Foundation Models: A History from BERT to ChatGPT.

[BibT_eX]

[DOI]

CoRR, 2023

A Survey on Graph Neural Networks for Graph Summarization.

[BibT_eX]

[DOI]

CoRR, 2023

A Comprehensive Survey of Graph-level Learning.

[BibT_eX]

[DOI]

CoRR, 2023

SE-GSL: A General and Effective Graph Structure Learning Framework through Structural Entropy Optimization.

[BibT_eX]

[DOI]

Proceedings of the ACM Web Conference 2023, 2023

KGTrust: Evaluating Trustworthiness of SIoT via Knowledge Enhanced Graph Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the ACM Web Conference 2023, 2023

CurvDrop: A Ricci Curvature Based Approach to Prevent Graph Neural Networks from Over-Smoothing and Over-Squashing.

[BibT_eX]

[DOI]

Proceedings of the ACM Web Conference 2023, 2023

Hyperbolic Geometric Graph Representation Learning for Hierarchy-imbalance Node Classification.

[BibT_eX]

[DOI]

Proceedings of the ACM Web Conference 2023, 2023

Minimum Entropy Principle Guided Graph Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

Mining User-aware Multi-relations for Fake News Detection in Large Scale Online Social Networks.

[BibT_eX]

[DOI]

Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

Unbiased and Efficient Self-Supervised Incremental Contrastive Learning.

[BibT_eX]

[DOI]

Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

Enhancing Trust Prediction in Attributed Social Networks with Self-Supervised Learning.

[BibT_eX]

[DOI]

Proceedings of the Web Information Systems Engineering - WISE 2023, 2023

Heterogeneous Graph Neural Network via Knowledge Relations for Fake News Detection.

[BibT_eX]

[DOI]

Proceedings of the 35th International Conference on Scientific and Statistical Database Management, 2023

Towards Graph-level Anomaly Detection via Deep Evolutionary Mapping.

[BibT_eX]

[DOI]

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Worldwide COVID-19 Topic Knowledge Graph Analysis From Social Media.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2023

OOA-UADS: Offline, Online, Analysis-an Unsupervised Anomaly Detection Solution for Multivariate Time Series.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2023

Segformer: Segment-Based Transformer with Decomposition for Long-Term Series Forecasting.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2023

Don't Ignore Alienation and Marginalization: Correlating Fraud Detection.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Graph Pooling for Graph Neural Networks: Progress, Challenges, and Opportunities.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Cross-Domain Facial Expression Recognition via Disentangling Identity Representation.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Domain Adaptation for Anomaly Detection on Heterogeneous Graphs in E-Commerce.

[BibT_eX]

[DOI]

Proceedings of the Advances in Information Retrieval, 2023

CCPO: Conservatively Constrained Policy Optimization Using State Augmentation.

[BibT_eX]

[DOI]

Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

Social Event Detection with Reinforced Deep Heterogeneous Graph Attention Network.

[BibT_eX]

[DOI]

Yongsheng Yu

Jian Yang

Proceedings of the IEEE International Conference on Big Data, 2023

EmoKnow: Emotion- and Knowledge-Oriented Model for COVID-19 Fake News Detection.

[BibT_eX]

[DOI]

Proceedings of the Advanced Data Mining and Applications - 19th International Conference, 2023

Discriminative Graph-Level Anomaly Detection via Dual-Students-Teacher Model.

[BibT_eX]

[DOI]

Proceedings of the Advanced Data Mining and Applications - 19th International Conference, 2023

2022

eRiskCom: an e-commerce risky community detection platform.

[BibT_eX]

[DOI]

VLDB J., 2022

eFraudCom: An E-commerce Fraud Detection System via Competitive Graph Neural Networks.

[BibT_eX]

[DOI]

ACM Trans. Inf. Syst., 2022

Deep Multi-Attributed-View Graph Representation Learning.

[BibT_eX]

[DOI]

IEEE Trans. Netw. Sci. Eng., 2022

Drift-Proof Tracking With Deep Reinforcement Learning.

[BibT_eX]

[DOI]

IEEE Trans. Multim., 2022

Adaptive Hierarchical Attention-Enhanced Gated Network Integrating Reviews for Item Recommendation.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2022

Electroencephalogram Signal Clustering With Convex Cooperative Games.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2022

A Data Stream Cleaning System Using Edge Intelligence for Smart City Industrial Environments.

[BibT_eX]

[DOI]

IEEE Trans. Ind. Informatics, 2022

Efficient Quantum Blockchain With a Consensus Mechanism QDPoS.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Forensics Secur., 2022

Deep Recommendation With Adversarial Training.

[BibT_eX]

[DOI]

IEEE Trans. Emerg. Top. Comput., 2022

Brain EEG Time-Series Clustering Using Maximum-Weight Clique.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2022

Reinforcement Learning-Based Dialogue Guided Event Extraction to Exploit Argument Relations.

[BibT_eX]

[DOI]

IEEE ACM Trans. Audio Speech Lang. Process., 2022

Robust face alignment by dual-attentional spatial-aware capsule networks.

[BibT_eX]

[DOI]

Pattern Recognit., 2022

Deep reinforcement learning guided graph neural networks for brain network analysis.

[BibT_eX]

[DOI]

Jessica J. M. Monaghan

David McAlpine

Heivet Hernandez-Perez

Neural Networks, 2022

GARAT: Generative Adversarial Learning for Robust and Accurate Tracking.

[BibT_eX]

[DOI]

Neural Networks, 2022

Signed network representation with novel node proximity evaluation.

[BibT_eX]

[DOI]

Neural Networks, 2022

Knowledge-aware document summarization: A survey of knowledge, embedding methods and architectures.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2022

A spatio-temporal sequence-to-sequence network for traffic flow prediction.

[BibT_eX]

[DOI]

Inf. Sci., 2022

VR-GNN: Variational Relation Vector Graph Neural Network for Modeling both Homophily and Heterophily.

[BibT_eX]

[DOI]

CoRR, 2022

Automating DBSCAN via Deep Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, 2022

Graph-level Neural Networks: Current Progress and Future Directions.

[BibT_eX]

[DOI]

CoRR, 2022

Embedding Knowledge for Document Summarization: A Survey.

[BibT_eX]

[DOI]

CoRR, 2022

A Survey on Location-Driven Influence Maximization.

[BibT_eX]

[DOI]

CoRR, 2022

Single-stage Rotate Object Detector via Two Points with Solar Corona Heatmap.

[BibT_eX]

[DOI]

CoRR, 2022

Dual-branch Density Ratio Estimation for Signed Network Embedding.

[BibT_eX]

[DOI]

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

H2-FDetector: A GNN-based Fraud Detector with Homophilic and Heterophilic Connections.

[BibT_eX]

[DOI]

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Curvature Graph Generative Adversarial Networks.

[BibT_eX]

[DOI]

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

ComGA: Community-Aware Attributed Graph Anomaly Detection.

[BibT_eX]

[DOI]

Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

Fair-SRS: A Fair Session-based Recommendation System.

[BibT_eX]

[DOI]

Jian Yang

Luiz Pizzato

Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

Dual-discriminative Graph Neural Network for Imbalanced Graph-level Anomaly Detection.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Vertically Federated Graph Neural Network for Privacy-Preserving Node Classification.

[BibT_eX]

[DOI]

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Evidential Temporal-aware Graph-based Social Event Detection via Dempster-Shafer Theory.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Web Services, 2022

PD-SRS: Personalized Diversity for a Fair Session-Based Recommendation System.

[BibT_eX]

[DOI]

Proceedings of the Service-Oriented Computing - 20th International Conference, 2022

Heterogeneous Graph Neural Network for Privacy-Preserving Recommendation.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Data Mining, 2022

HiGIL: Hierarchical Graph Inference Learning for Fact Checking.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Data Mining, 2022

DAGAD: Data Augmentation for Graph Anomaly Detection.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Data Mining, 2022

Automating DBSCAN via Deep Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Cross-Network Social User Embedding with Hybrid Differential Privacy Guarantees.

[BibT_eX]

[DOI]

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

From Known to Unknown: Quality-aware Self-improving Graph Neural Network For Open Set Social Event Detection.

[BibT_eX]

[DOI]

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Graph Structure Learning with Variational Information Bottleneck.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

A fairness-aware multi-stakeholder recommender system.

[BibT_eX]

[DOI]

World Wide Web, 2021

Intelligent Data Collaboration in Heterogeneous-device IoT Platforms.

[BibT_eX]

[DOI]

ACM Trans. Sens. Networks, 2021

A Comprehensive Survey of the Key Technologies and Challenges Surrounding Vehicular Ad Hoc Networks.

[BibT_eX]

[DOI]

ACM Trans. Intell. Syst. Technol., 2021

Deep Reinforcement Learning for Smart City Communication Networks.

[BibT_eX]

[DOI]

IEEE Trans. Ind. Informatics, 2021

TigeCMN: On exploration of temporal interaction graph embedding via Coupled Memory Neural Networks.

[BibT_eX]

[DOI]

Neural Networks, 2021

Enhancing Graph Neural Networks by a High-quality Aggregation of Beneficial Information.

[BibT_eX]

[DOI]

Neural Networks, 2021

Multi-task adversarial autoencoder network for face alignment in the wild.

[BibT_eX]

[DOI]

Neurocomputing, 2021

Analysis and improvement of the latency-based congestion control algorithm DX.

[BibT_eX]

[DOI]

Future Gener. Comput. Syst., 2021

CoTrRank: Trust Ranking on Twitter.

[BibT_eX]

[DOI]

IEEE Intell. Syst., 2021

A Comprehensive Survey on Graph Anomaly Detection with Deep Learning.

[BibT_eX]

[DOI]

CoRR, 2021

SUGAR: Subgraph Neural Network with Reinforcement Pooling and Self-Supervised Mutual Information Mechanism.

[BibT_eX]

[DOI]

Proceedings of the WWW '21: The Web Conference 2021, 2021

Task-adaptive Neural Process for User Cold-Start Recommendation.

[BibT_eX]

[DOI]

Proceedings of the WWW '21: The Web Conference 2021, 2021

Knowledge-Preserving Incremental Social Event Detection via Heterogeneous GNNs.

[BibT_eX]

[DOI]

Proceedings of the WWW '21: The Web Conference 2021, 2021

WorP: A Novel Worker Performance Prediction Model for General Tasks on Crowdsourcing Platforms.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE International Conference on Web Services, 2021

TWLR: A Novel Truth Inference Approach based on Worker Representations for Crowdsourcing in the Low Redundancy Situation.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE International Conference on Web Services, 2021

FRAUDRE: Fraud Detection Dual-Resistant to Graph Inconsistency and Imbalance.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Data Mining, 2021

Disentangled Deep Multivariate Hawkes Process for Learning Event Sequences.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Data Mining, 2021

ACE-HGNN: Adaptive Curvature Exploration Hyperbolic Graph Neural Network.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Data Mining, 2021

DynSTGAT: Dynamic Spatial-Temporal Graph Attention Network for Traffic Signal Control.

[BibT_eX]

[DOI]

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Graph-based Semi-Supervised Learning by Strengthening Local Label Consistency.

[BibT_eX]

[DOI]

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020

Adaptive knowledge subgraph ensemble for robust and trustworthy knowledge graph completion.

[BibT_eX]

[DOI]

World Wide Web, 2020

Detecting the evolving community structure in dynamic social networks.

[BibT_eX]

[DOI]

World Wide Web, 2020

Let's CoRank: trust of users and tweets on social networks.

[BibT_eX]

[DOI]

World Wide Web, 2020

Time-Variant Graph Classification.

[BibT_eX]

[DOI]

IEEE Trans. Syst. Man Cybern. Syst., 2020

Dual Implicit Mining-Based Latent Friend Recommendation.

[BibT_eX]

[DOI]

IEEE Trans. Syst. Man Cybern. Syst., 2020

Multi-View Multi-Label Learning With Sparse Feature Selection for Image Annotation.

[BibT_eX]

[DOI]

IEEE Trans. Multim., 2020

CenEEGs: Valid EEG Selection for Classification.

[BibT_eX]

[DOI]

ACM Trans. Knowl. Discov. Data, 2020

MeMu: Metric correlation Siamese network and multi-class negative sampling for visual tracking.

[BibT_eX]

[DOI]

Pattern Recognit., 2020

Dynamic Edge Access System in IoT Environment.

[BibT_eX]

[DOI]

IEEE Internet Things J., 2020

Infrared and visible image fusion via detail preserving adversarial learning.

[BibT_eX]

[DOI]

Inf. Fusion, 2020

Siamese capsule networks with global and local features for text classification.

[BibT_eX]

[DOI]

Neurocomputing, 2020

Survey and Open Problems in Privacy Preserving Knowledge Graph: Merging, Query, Representation, Completion and Applications.

[BibT_eX]

[DOI]

CoRR, 2020

Microcluster-Based Incremental Ensemble Learning for Noisy, Nonstationary Data Streams.

[BibT_eX]

[DOI]

Complex., 2020

IEEE Access Special Section Editorial: Advanced Data Mining Methods for Social Computing.

[BibT_eX]

[DOI]

IEEE Access, 2020

Graph Geometry Interaction Learning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Graph Stochastic Neural Networks for Semi-supervised Learning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

dFDA-VeD: A Dynamic Future Demand Aware Vehicle Dispatching System.

[BibT_eX]

[DOI]

Proceedings of the MobiQuitous '20: Computing, 2020

Parallel DNN Inference Framework Leveraging a Compact RISC-V ISA-based Multi-core System.

[BibT_eX]

[DOI]

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Heterogeneous Graph Attention Networks for Early Detection of Rumors on Twitter.

[BibT_eX]

[DOI]

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Opinion Maximization in Social Trust Networks.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Deep Learning for Community Detection: Progress, Challenges and Opportunities.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

PB-Worker: A Novel Participating Behavior-based Worker Ability Model for General Tasks on Crowdsourcing Platforms.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE International Conference on Web Services, 2020

AtNE-Trust: Attributed Trust Network Embedding for Trust Prediction in Online Social Networks.

[BibT_eX]

[DOI]

Proceedings of the 20th IEEE International Conference on Data Mining, 2020

Deep Semantic Network Representation.

[BibT_eX]

[DOI]

Proceedings of the 20th IEEE International Conference on Data Mining, 2020

Exploratory Adversarial Attacks on Graph Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the 20th IEEE International Conference on Data Mining, 2020

A Knowledge-Aware Attentional Reasoning Network for Recommendation.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Temporal Network Embedding with High-Order Nonlinear Information.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

An Ethical Multi-Stakeholder Recommender System Based on Evolutionary Multi-Objective Optimization.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE International Conference on Services Computing, 2020

FDA-VeD: A Future-Demand-Aware Vehicle Dispatching Service.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE International Conference on Services Computing, 2020

2019

Nonrigid Point Set Registration With Robust Transformation Learning Under Manifold Regularization.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2019

A Correlation-Based Feature Weighting Filter for Naive Bayes.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2019

Detecting and Assessing Anomalous Evolutionary Behaviors of Nodes in Evolving Social Networks.

[BibT_eX]

[DOI]

ACM Trans. Knowl. Discov. Data, 2019

Multi-View Fusion with Extreme Learning Machine for Clustering.

[BibT_eX]

[DOI]

ACM Trans. Intell. Syst. Technol., 2019

Learning Shapelet Patterns from Network-Based Time Series.

[BibT_eX]

[DOI]

IEEE Trans. Ind. Informatics, 2019

Time series feature learning with labeled and unlabeled data.

[BibT_eX]

[DOI]

Pattern Recognit., 2019

Salient Subsequence Learning for Time Series Clustering.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2019

An unsupervised parameter learning model for RVFL neural network.

[BibT_eX]

[DOI]

Neural Networks, 2019

Robust correlation filter tracking with multi-scale spatial view.

[BibT_eX]

[DOI]

Neurocomputing, 2019

Improved Coupled Tensor Factorization with Its Applications in Health Data Analysis.

[BibT_eX]

[DOI]

Complex., 2019

A Destination Prediction Network Based on Spatiotemporal Data for Bike-Sharing.

[BibT_eX]

[DOI]

Complex., 2019

IEEE Access Special Section Editorial: Advanced Data Analytics for Large-Scale Complex Data Environments.

[BibT_eX]

[DOI]

IEEE Access, 2019

GroExpert: A Novel Group-Aware Experts Identification Approach in Crowdsourcing.

[BibT_eX]

[DOI]

Proceedings of the Web Information Systems Engineering - WISE 2019, 2019

ReInCre: Enhancing Collaborative Filtering Recommendations by Incorporating User Rating Credibility.

[BibT_eX]

[DOI]

Weiliang Zhao

Jian Yang

Proceedings of the Web Information Systems Engineering, 2019

Link Prediction with Signed Latent Factors in Signed Social Networks.

[BibT_eX]

[DOI]

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Smooth Deep Network Embedding.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2019

Evolutionary Community Detection in Dynamic Social Networks.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2019

Deep Structure Learning for Rumor Detection on Twitter.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2019

Neighborhood-Aware Attentional Representation for Multilingual Knowledge Graphs.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Noise-Resilient Similarity Preserving Network Embedding for Social Networks.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

CoTrRank: Trust Evaluation of Users and Tweets.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Deep Active Learning for Anchor User Prediction.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Social Trust Network Embedding.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

DeepTrust: A Deep User Model of Homophily Effect for Trust Prediction.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

Guiding Cross-lingual Entity Alignment via Adversarial Knowledge Embedding.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

Automatic Knowledge Graph Construction: A Report on the 2019 ICDM/ICBK Contest.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

2018

Dual influence embedded social recommendation.

[BibT_eX]

[DOI]

World Wide Web, 2018

Multiple Structure-View Learning for Graph Classification.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2018

A Novel Consistent Random Forest Framework: Bernoulli Random Forests.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2018

Multi-Instance Learning with Discriminative Bag Mapping.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2018

Dynamic Island Model based on Spectral Clustering in Genetic Algorithm.

[BibT_eX]

[DOI]

CoRR, 2018

Advances in Processing, Mining, and Learning Complex Data: From Foundations to Real-World Applications.

[BibT_eX]

[DOI]

Complex., 2018

Brain EEG Time Series Selection: A Novel Graph-Based Approach for Classification.

[BibT_eX]

[DOI]

Proceedings of the 2018 SIAM International Conference on Data Mining, 2018

A Deep Learning Health Data Analysis Approach: Automatic 3D Prostate MR Segmentation with Densely-Connected Volumetric ConvNets.

[BibT_eX]

[DOI]

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

FraudNE: a Joint Embedding Approach for Fraud Detection.

[BibT_eX]

[DOI]

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Individual Interest and Trust Driving Collective Intelligence Awareness for Social Recommendation.

[BibT_eX]

[DOI]

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

A Novel Deep Learning Approach: Stacked Evolutionary Auto-encoder.

[BibT_eX]

[DOI]

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

A Deep Framework for Cross-Domain and Cross-System Recommendations.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Self-Representative Manifold Concept Factorization with Adaptive Neighbors for Clustering.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Active Discriminative Network Representation Learning.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Recommendation with Multi-Source Heterogeneous Information.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

DAliM: Machine Learning Based Intelligent Lucky Money Determination for Large-Scale E-Commerce Businesses.

[BibT_eX]

[DOI]

Proceedings of the Service-Oriented Computing - 16th International Conference, 2018

Probabilistic Graph Embedding for Unsupervised Domain Adaptation.

[BibT_eX]

[DOI]

Proceedings of the 24th International Conference on Pattern Recognition, 2018

TLR: Transfer Latent Representation for Unsupervised Domain Adaptation.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE International Conference on Multimedia and Expo, 2018

VCF: Velocity Correlation Filter, Towards Space-Borne Satellite Video Tracking.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE International Conference on Multimedia and Expo, 2018

Deep Structure Learning for Fraud Detection.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Data Mining, 2018

Nonlocal Patch Based t-SVD for Image Inpainting: Algorithm and Error Analysis.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Social Recommendation with an Essential Preference Space.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Combining Structured Node Content and Topology Information for Networked Graph Clustering.

[BibT_eX]

[DOI]

ACM Trans. Knowl. Discov. Data, 2017

Positive and Unlabeled Multi-Graph Learning.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2017

Task Sensitive Feature Exploration and Learning for Multitask Graph Classification.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2017

Stacked Convolutional Denoising Auto-Encoders for Feature Representation.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2017

Instance cloned extreme learning machine.

[BibT_eX]

[DOI]

Pattern Recognit., 2017

SALE: Self-adaptive LSH encoding for multi-instance learning.

[BibT_eX]

[DOI]

Pattern Recognit., 2017

A less-greedy two-term Tsallis Entropy Information Metric approach for decision tree classification.

[BibT_eX]

[DOI]

Yisen Wang

Shu-Tao Xia

Knowl. Based Syst., 2017

Boosting for graph classification with universum.

[BibT_eX]

[DOI]

Knowl. Inf. Syst., 2017

Toward value difference metric with attribute weighting.

[BibT_eX]

[DOI]

Knowl. Inf. Syst., 2017

Link sign prediction by Variational Bayesian Probabilistic Matrix Factorization with Student-t Prior.

[BibT_eX]

[DOI]

Inf. Sci., 2017

Collective Hyping Detection System for Identifying Online Spam Activities.

[BibT_eX]

[DOI]

IEEE Intell. Syst., 2017

Subpopulation Diversity Based Selecting Migration Moment in Distributed Evolutionary Algorithms.

[BibT_eX]

[DOI]

Chengjun Li

CoRR, 2017

Towards large-scale social networks with online diffusion provenance detection.

[BibT_eX]

[DOI]

Comput. Networks, 2017

Dynamic island model based on spectral clustering in genetic algorithm.

[BibT_eX]

[DOI]

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

CPMF: A collective pairwise matrix factorization model for upcoming event recommendation.

[BibT_eX]

[DOI]

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Pre-trained Extreme Learning Machine.

[BibT_eX]

[DOI]

Proceedings of the Neural Information Processing - 24th International Conference, 2017

Collaborative Dynamic Sparse Topic Regression with User Profile Evolution for Item Recommendation.

[BibT_eX]

[DOI]

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

Joint Structure Feature Exploration and Regularization for Multi-Task Graph Classification.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2016

Memetic Extreme Learning Machine.

[BibT_eX]

[DOI]

Pattern Recognit., 2016

SODE: Self-Adaptive One-Dependence Estimators for classification.

[BibT_eX]

[DOI]

Pattern Recognit., 2016

Big social network influence maximization via recursively estimating influence spread.

[BibT_eX]

[DOI]

Weixue Lu

Chuan Zhou

Knowl. Based Syst., 2016

Multi-graph-view subgraph mining for graph classification.

[BibT_eX]

[DOI]

Knowl. Inf. Syst., 2016

PIGMIL: Positive Instance Detection via Graph Updating for Multiple Instance Learning.

[BibT_eX]

[DOI]

CoRR, 2016

Time-Variant Graph Classification.

[BibT_eX]

[DOI]

CoRR, 2016

Multi-instance graphical transfer clustering for traffic data learning.

[BibT_eX]

[DOI]

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Mining subcascade features for cascade outbreak prediction in big networks.

[BibT_eX]

[DOI]

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Training deep neural networks on imbalanced data sets.

[BibT_eX]

[DOI]

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

A recursive method for big network influence estimation.

[BibT_eX]

[DOI]

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Evolutionary lazy learning for Naive Bayes classification.

[BibT_eX]

[DOI]

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Unsupervised Feature Learning from Time Series.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Bernoulli Random Forests: Closing the Gap between Theoretical Consistency and Empirical Soundness.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Tri-Party Deep Network Representation.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Semi-Data-Driven Network Coarsening.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Inferring Latent Network from Cascade Data for Dynamic Social Recommendation.

[BibT_eX]

[DOI]

Proceedings of the IEEE 16th International Conference on Data Mining, 2016

Multiple-Instance Learning with Evolutionary Instance Selection.

[BibT_eX]

[DOI]

Proceedings of the Database Systems for Advanced Applications, 2016

Global and Local Influence-based Social Recommendation.

[BibT_eX]

[DOI]

Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

Collaborative Social Group Influence for Event Recommendation.

[BibT_eX]

[DOI]

Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

On the Minimum Differentially Resolving Set Problem for Diffusion Source Inference in Networks.

[BibT_eX]

[DOI]

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

Direct Discriminative Bag Mapping for Multi-Instance Learning.

[BibT_eX]

[DOI]

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015

Multi-graph learning

[BibT_eX]

[DOI]

PhD thesis, 2015

CogBoost: Boosting for Fast Cost-Sensitive Graph Classification.

[BibT_eX]

[DOI]

Shirui Pan

Xingquan Zhu

IEEE Trans. Knowl. Data Eng., 2015

Boosting for Multi-Graph Classification.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2015

Graph Ensemble Boosting for Imbalanced Noisy Graph Stream Classification.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2015

Finding the best not the most: regularized loss minimization subgraph selection for graph classification.

[BibT_eX]

[DOI]

Pattern Recognit., 2015

Locally Weighted Learning: How and When Does it Work in Bayesian Networks?

[BibT_eX]

[DOI]

Int. J. Comput. Intell. Syst., 2015

Self-adaptive attribute weighting for Naive Bayes classification.

[BibT_eX]

[DOI]

Expert Syst. Appl., 2015

A memetic algorithm based extreme learning machine for classification.

[BibT_eX]

[DOI]

Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

Multi-Graph-View Learning for Complicated Object Classification.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Mining Top-k Minimal Redundancy Frequent Patterns over Uncertain Databases.

[BibT_eX]

[DOI]

Proceedings of the Neural Information Processing - 22nd International Conference, 2015

2014

Bag Constrained Structure Pattern Mining for Multi-Graph Classification.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2014

A naive Bayes probability estimation model based on self-adaptive differential evolution.

[BibT_eX]

[DOI]

J. Intell. Inf. Syst., 2014

Learning attribute weighted AODE for ROC area ranking.

[BibT_eX]

[DOI]

Int. J. Inf. Commun. Technol., 2014

Multi-Graph Learning with Positive and Unlabeled Bags.

[BibT_eX]

[DOI]

Proceedings of the 2014 SIAM International Conference on Data Mining, 2014

Multi-Instance Learning from Positive and Unlabeled Bags.

[BibT_eX]

[DOI]

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2014

Dual instance and attribute weighting for Naive Bayes classification.

[BibT_eX]

[DOI]

Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Attribute weighting: How and when does it work for Bayesian Network Classification.

[BibT_eX]

[DOI]

Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Multi-graph-view Learning for Graph Classification.

[BibT_eX]

[DOI]

Proceedings of the 2014 IEEE International Conference on Data Mining, 2014

Exploring Features for Complicated Objects: Cross-View Feature Selection for Multi-Instance Learning.

[BibT_eX]

[DOI]

Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, 2014

2013

Weighted Clone Selection Algorithm based on Rough Set Theory.

[BibT_eX]

[DOI]

J. Softw., 2013

Boosting for superparent-one-dependence estimators.

[BibT_eX]

[DOI]

Int. J. Comput. Sci. Math., 2013

Active AODE learning based on a novel sampling strategy and its application.

[BibT_eX]

[DOI]

Int. J. Comput. Appl. Technol., 2013

Artificial immune system for attribute weighted Naive Bayes classification.

[BibT_eX]

[DOI]

Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

Self-adaptive probability estimation for Naive Bayes classification.

[BibT_eX]

[DOI]

Xingquan Zhu

Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

Multi-instance Multi-graph Dual Embedding Learning.

[BibT_eX]

[DOI]

Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013

2012

Attribute Weighting via Differential Evolution for Attribute Weighted Clonal Selection Algorithm.

[BibT_eX]

[DOI]

J. Comput., 2012

Hybrid dynamic k-nearest-neighbour and distance and attribute weighted method for classification.

[BibT_eX]

[DOI]

Shuang Ao

Int. J. Comput. Appl. Technol., 2012

2009

An Empirical Study on Several Classification Algorithms and Their Improvements.

[BibT_eX]

[DOI]