Jia Wu

Orcid: 0000-0002-1371-5801

Affiliations:
  • Macquarie University, Sydney, Australia
  • China University of Geosciences, Wuhan, China
  • University of Technology Sydney, Ultimo, Australia (PhD)


According to our database1, Jia Wu authored at least 331 papers between 2008 and 2024.

Collaborative distances:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Graph Structure Reshaping Against Adversarial Attacks on Graph Neural Networks.
IEEE Trans. Knowl. Data Eng., November, 2024

SBP-GCA: Social Behavior Prediction via Graph Contrastive Learning With Attention.
IEEE Trans. Artif. Intell., September, 2024

A Comprehensive Survey on Graph Summarization With Graph Neural Networks.
IEEE Trans. Artif. Intell., August, 2024

Survey and open problems in privacy-preserving knowledge graph: merging, query, representation, completion, and applications.
Int. J. Mach. Learn. Cybern., August, 2024

Position Matters: Play a Sequential Game to Detect Significant Communities.
IEEE Trans. Knowl. Data Eng., July, 2024

Uncertainty-Guided Boundary Learning for Imbalanced Social Event Detection.
IEEE Trans. Knowl. Data Eng., June, 2024

Representing Multiview Time-Series Graph Structures for Multivariate Long-Term Time-Series Forecasting.
IEEE Trans. Artif. Intell., June, 2024

Complex query answering over knowledge graphs foundation model using region embeddings on a lie group.
World Wide Web (WWW), May, 2024

VR-GNN: variational relation vector graph neural network for modeling homophily and heterophily.
World Wide Web (WWW), May, 2024

Introduction to the Special Issue on Advanced Graph Mining on the Web: Theory, Algorithms, and Applications: Part 2.
ACM Trans. Web, May, 2024

Community Preserving Social Recommendation with Cyclic Transfer Learning.
ACM Trans. Inf. Syst., May, 2024

A Survey on Deep Learning Event Extraction: Approaches and Applications.
IEEE Trans. Neural Networks Learn. Syst., May, 2024

A Comprehensive Survey on Community Detection With Deep Learning.
IEEE Trans. Neural Networks Learn. Syst., April, 2024

Towards Flexible and Adaptive Neural Process for Cold-Start Recommendation.
IEEE Trans. Knowl. Data Eng., April, 2024

Confusable facial expression recognition with geometry-aware conditional network.
Pattern Recognit., April, 2024

A Comprehensive Survey on Automatic Knowledge Graph Construction.
ACM Comput. Surv., April, 2024

Unveiling the secrets of online consumer choice: A deep learning algorithmic approach to evaluate and predict purchase decisions through EEG responses.
Inf. Process. Manag., March, 2024

Flexibly utilizing syntactic knowledge in aspect-based sentiment analysis.
Inf. Process. Manag., March, 2024

Contrastive graph learning long and short-term interests for POI recommendation.
Expert Syst. Appl., March, 2024

Knowledge Graph Enhanced Heterogeneous Graph Neural Network for Fake News Detection.
IEEE Trans. Consumer Electron., February, 2024

A Comprehensive Survey on Collaborative Data-access Enablers in the IIoT.
ACM Comput. Surv., February, 2024

Introduction to the special issue on recent advances in graph learning: theory, algorithms, applications, and systems.
Int. J. Mach. Learn. Cybern., January, 2024

Temporally Rich Deep Learning Models for Magnetoencephalography.
Trans. Mach. Learn. Res., 2024

Multivariate Knowledge Tracking Based on Graph Neural Network in ASSISTments.
IEEE Trans. Learn. Technol., 2024

Tracking With Saliency Region Transformer.
IEEE Trans. Image Process., 2024

Special Section on Community Detection in Time-Varying Information and Computing Networks: Theory, Models, and Applications.
IEEE Trans. Emerg. Top. Comput., 2024

CoSENT: Consistent Sentence Embedding via Similarity Ranking.
IEEE ACM Trans. Audio Speech Lang. Process., 2024

An unsupervised video anomaly detection method via Optical Flow decomposition and Spatio-Temporal feature learning.
Pattern Recognit. Lett., 2024

AG-Meta: Adaptive graph meta-learning via representation consistency over local subgraphs.
Pattern Recognit., 2024

Exploring sparsity in graph transformers.
Neural Networks, 2024

Triplet-aware graph neural networks for factorized multi-modal knowledge graph entity alignment.
Neural Networks, 2024

Towards a better negative sampling strategy for dynamic graphs.
Neural Networks, 2024

RGDAN: A random graph diffusion attention network for traffic prediction.
Neural Networks, 2024

Learning the feature distribution similarities for online time series anomaly detection.
Neural Networks, 2024

Single-stage oriented object detection via Corona Heatmap and Multi-stage Angle Prediction.
Knowl. Based Syst., 2024

Collaborative control of path tracking and roll stability in intelligent commercial vehicle: A minimax robust regulator based on Nash game.
Eng. Appl. Artif. Intell., 2024

Fragment-Masked Molecular Optimization.
CoRR, 2024

Dual-perspective Cross Contrastive Learning in Graph Transformers.
CoRR, 2024

A Cross-Field Fusion Strategy for Drug-Target Interaction Prediction.
CoRR, 2024

Regressor-free Molecule Generation to Support Drug Response Prediction.
CoRR, 2024

Hi-GMAE: Hierarchical Graph Masked Autoencoders.
CoRR, 2024

Heterogeneous Subgraph Transformer for Fake News Detection.
Proceedings of the ACM on Web Conference 2024, 2024

An Efficient Automatic Meta-Path Selection for Social Event Detection via Hyperbolic Space.
Proceedings of the ACM on Web Conference 2024, 2024

An Interpretable Brain Graph Contrastive Learning Framework for Brain Disorder Analysis.
Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

Distributionally-Adaptive Variational Meta Learning for Brain Graph Classification.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Graph Anomaly Detection with Few Labels: A Data-Centric Approach.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Graph Neural Networks for Brain Graph Learning: A Survey.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Contrastive Learning Drug Response Models from Natural Language Supervision.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Zero-shot Learning for Preclinical Drug Screening.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Where to Mask: Structure-Guided Masking for Graph Masked Autoencoders.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

The Open Story Model (OSM): Transforming Big Data into Interactive Narratives.
Proceedings of the IEEE International Conference on Web Services, 2024

IFNET: Integrating Data Augmentation and Decoupled Attention Fusion for 3D Object Detection.
Proceedings of the IEEE International Conference on Acoustics, 2024

On Fake News Detection with LLM Enhanced Semantics Mining.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

GraphSUM: Scalable Graph Summarization for Efficient Question Answering.
Proceedings of the Proceedings 27th International Conference on Extending Database Technology, 2024

2023
A Comprehensive Survey on Graph Anomaly Detection With Deep Learning.
IEEE Trans. Knowl. Data Eng., December, 2023

Event Extraction by Associating Event Types and Argument Roles.
IEEE Trans. Big Data, December, 2023

Transfer Learning With Document-Level Data Augmentation for Aspect-Level Sentiment Classification.
IEEE Trans. Big Data, December, 2023

Dual Structural Consistency Preserving Community Detection on Social Networks.
IEEE Trans. Knowl. Data Eng., November, 2023

Graph structure reforming framework enhanced by commute time distance for graph classification.
Neural Networks, November, 2023

An Adversarial Time-Frequency Reconstruction Network for Unsupervised Anomaly Detection.
Neural Networks, November, 2023

LUAD: A lightweight unsupervised anomaly detection scheme for multivariate time series data.
Neurocomputing, November, 2023

Crime Prediction With Missing Data Via Spatiotemporal Regularized Tensor Decomposition.
IEEE Trans. Big Data, October, 2023

A Decomposition Dynamic graph convolutional recurrent network for traffic forecasting.
Pattern Recognit., October, 2023

Heterogeneous graph neural network with semantic-aware differential privacy guarantees.
Knowl. Inf. Syst., October, 2023

Introduction to the Special Issue on Advanced Graph Mining on the Web: Theory, Algorithms, and Applications: Part 1.
ACM Trans. Web, August, 2023

Semi-Supervised EEG Clustering With Multiple Constraints.
IEEE Trans. Knowl. Data Eng., August, 2023

LGM-GNN: A Local and Global Aware Memory-Based Graph Neural Network for Fraud Detection.
IEEE Trans. Big Data, August, 2023

Dual Mutual Robust Graph Convolutional Network for Weakly Supervised Node Classification in Social Networks of Internet of People.
IEEE Internet Things J., August, 2023

Modeling the social influence of COVID-19 via personalized propagation with deep learning.
World Wide Web (WWW), July, 2023

Adaptive Subgraph Neural Network With Reinforced Critical Structure Mining.
IEEE Trans. Pattern Anal. Mach. Intell., July, 2023

Corrigendum to "Functional Connectivity Learning via Siamese-based SPD Matrix Representation of Brain Imaging Data" [Neural Networks 163 (2023) 272-285].
Neural Networks, July, 2023

C-DeepTrust: A Context-Aware Deep Trust Prediction Model in Online Social Networks.
IEEE Trans. Neural Networks Learn. Syst., June, 2023

Deep spatial-temporal structure learning for rumor detection on Twitter.
Neural Comput. Appl., June, 2023

Trip Reinforcement Recommendation with Graph-based Representation Learning.
ACM Trans. Knowl. Discov. Data, May, 2023

Adaptive curvature exploration geometric graph neural network.
Knowl. Inf. Syst., May, 2023

Multi-View Tensor Graph Neural Networks Through Reinforced Aggregation.
IEEE Trans. Knowl. Data Eng., April, 2023

Tracking the Evolution of Clusters in Social Media Streams.
IEEE Trans. Big Data, April, 2023

A robust feature reinforcement framework for heterogeneous graphs neural networks.
Future Gener. Comput. Syst., April, 2023

Signed Network Representation by Preserving Multi-Order Signed Proximity.
IEEE Trans. Knowl. Data Eng., March, 2023

Temporal Link Prediction With Motifs for Social Networks.
IEEE Trans. Knowl. Data Eng., March, 2023

Keywords-enhanced Deep Reinforcement Learning Model for Travel Recommendation.
ACM Trans. Web, February, 2023

ShVEEGc: EEG Clustering With Improved Cosine Similarity-Transformed Shapley Value.
IEEE Trans. Emerg. Top. Comput. Intell., February, 2023

Glider: rethinking congestion control with deep reinforcement learning.
World Wide Web (WWW), January, 2023

Intra- and inter-association attention network-enhanced policy learning for social group recommendation.
World Wide Web (WWW), January, 2023

Cross-Level Dependability Assessment With a Distributed Split Mechanism for Wireless Communication Systems.
IEEE Trans. Netw. Sci. Eng., 2023

Online Active Learning for Drifting Data Streams.
IEEE Trans. Neural Networks Learn. Syst., 2023

Tracking With Mutual Attention Network.
IEEE Trans. Multim., 2023

A Survey of Community Detection Approaches: From Statistical Modeling to Deep Learning.
IEEE Trans. Knowl. Data Eng., 2023

Facial Expression Recognition on the High Aggregation Subgraphs.
IEEE Trans. Image Process., 2023

SRDF: Single-Stage Rotate Object Detector via Dense Prediction and False Positive Suppression.
IEEE Trans. Geosci. Remote. Sens., 2023

Exploratory Adversarial Attacks on Graph Neural Networks for Semi-Supervised Node Classification.
Pattern Recognit., 2023

Multi-Aspect enhanced Graph Neural Networks for recommendation.
Neural Networks, 2023

Functional connectivity learning via Siamese-based SPD matrix representation of brain imaging data.
Neural Networks, 2023

Self-supervised Dual Hypergraph learning with Intent Disentanglement for session-based recommendation.
Knowl. Based Syst., 2023

Visual tracking with dumbbell selection network.
Neurocomputing, 2023

Incorporating user rating credibility in recommender systems.
Future Gener. Comput. Syst., 2023

Careful Selection and Thoughtful Discarding: Graph Explicit Pooling Utilizing Discarded Nodes.
CoRR, 2023

Hy-DeFake: Hypergraph Neural Networks for Detecting Fake News in Online Social Networks.
CoRR, 2023

Heterogeneous Social Event Detection via Hyperbolic Graph Representations.
CoRR, 2023

A Comprehensive Survey on Pretrained Foundation Models: A History from BERT to ChatGPT.
CoRR, 2023

A Survey on Graph Neural Networks for Graph Summarization.
CoRR, 2023

A Comprehensive Survey of Graph-level Learning.
CoRR, 2023

SE-GSL: A General and Effective Graph Structure Learning Framework through Structural Entropy Optimization.
Proceedings of the ACM Web Conference 2023, 2023

KGTrust: Evaluating Trustworthiness of SIoT via Knowledge Enhanced Graph Neural Networks.
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.
Proceedings of the ACM Web Conference 2023, 2023

Hyperbolic Geometric Graph Representation Learning for Hierarchy-imbalance Node Classification.
Proceedings of the ACM Web Conference 2023, 2023

Minimum Entropy Principle Guided Graph Neural Networks.
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.
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

Unbiased and Efficient Self-Supervised Incremental Contrastive Learning.
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.
Proceedings of the Web Information Systems Engineering - WISE 2023, 2023

Heterogeneous Graph Neural Network via Knowledge Relations for Fake News Detection.
Proceedings of the 35th International Conference on Scientific and Statistical Database Management, 2023

Towards Graph-level Anomaly Detection via Deep Evolutionary Mapping.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Worldwide COVID-19 Topic Knowledge Graph Analysis From Social Media.
Proceedings of the International Joint Conference on Neural Networks, 2023

OOA-UADS: Offline, Online, Analysis-an Unsupervised Anomaly Detection Solution for Multivariate Time Series.
Proceedings of the International Joint Conference on Neural Networks, 2023

Segformer: Segment-Based Transformer with Decomposition for Long-Term Series Forecasting.
Proceedings of the International Joint Conference on Neural Networks, 2023

Don't Ignore Alienation and Marginalization: Correlating Fraud Detection.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Graph Pooling for Graph Neural Networks: Progress, Challenges, and Opportunities.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Gapformer: Graph Transformer with Graph Pooling for Node Classification.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Cross-Domain Facial Expression Recognition via Disentangling Identity Representation.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Domain Adaptation for Anomaly Detection on Heterogeneous Graphs in E-Commerce.
Proceedings of the Advances in Information Retrieval, 2023

CCPO: Conservatively Constrained Policy Optimization Using State Augmentation.
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.
Proceedings of the IEEE International Conference on Big Data, 2023

EmoKnow: Emotion- and Knowledge-Oriented Model for COVID-19 Fake News Detection.
Proceedings of the Advanced Data Mining and Applications - 19th International Conference, 2023

Discriminative Graph-Level Anomaly Detection via Dual-Students-Teacher Model.
Proceedings of the Advanced Data Mining and Applications - 19th International Conference, 2023

2022
eRiskCom: an e-commerce risky community detection platform.
VLDB J., 2022

eFraudCom: An E-commerce Fraud Detection System via Competitive Graph Neural Networks.
ACM Trans. Inf. Syst., 2022

Deep Multi-Attributed-View Graph Representation Learning.
IEEE Trans. Netw. Sci. Eng., 2022

Drift-Proof Tracking With Deep Reinforcement Learning.
IEEE Trans. Multim., 2022

Adaptive Hierarchical Attention-Enhanced Gated Network Integrating Reviews for Item Recommendation.
IEEE Trans. Knowl. Data Eng., 2022

Electroencephalogram Signal Clustering With Convex Cooperative Games.
IEEE Trans. Knowl. Data Eng., 2022

A Data Stream Cleaning System Using Edge Intelligence for Smart City Industrial Environments.
IEEE Trans. Ind. Informatics, 2022

Efficient Quantum Blockchain With a Consensus Mechanism QDPoS.
IEEE Trans. Inf. Forensics Secur., 2022

Deep Recommendation With Adversarial Training.
IEEE Trans. Emerg. Top. Comput., 2022

Brain EEG Time-Series Clustering Using Maximum-Weight Clique.
IEEE Trans. Cybern., 2022

Reinforcement Learning-Based Dialogue Guided Event Extraction to Exploit Argument Relations.
IEEE ACM Trans. Audio Speech Lang. Process., 2022

Robust face alignment by dual-attentional spatial-aware capsule networks.
Pattern Recognit., 2022

Deep reinforcement learning guided graph neural networks for brain network analysis.
Neural Networks, 2022

GARAT: Generative Adversarial Learning for Robust and Accurate Tracking.
Neural Networks, 2022

Signed network representation with novel node proximity evaluation.
Neural Networks, 2022

Knowledge-aware document summarization: A survey of knowledge, embedding methods and architectures.
Knowl. Based Syst., 2022

A spatio-temporal sequence-to-sequence network for traffic flow prediction.
Inf. Sci., 2022

VR-GNN: Variational Relation Vector Graph Neural Network for Modeling both Homophily and Heterophily.
CoRR, 2022

Automating DBSCAN via Deep Reinforcement Learning.
CoRR, 2022

A Comprehensive Survey on Deep Clustering: Taxonomy, Challenges, and Future Directions.
CoRR, 2022

Graph-level Neural Networks: Current Progress and Future Directions.
CoRR, 2022

Embedding Knowledge for Document Summarization: A Survey.
CoRR, 2022

A Survey on Location-Driven Influence Maximization.
CoRR, 2022

Single-stage Rotate Object Detector via Two Points with Solar Corona Heatmap.
CoRR, 2022

Dual-branch Density Ratio Estimation for Signed Network Embedding.
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.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Curvature Graph Generative Adversarial Networks.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

ComGA: Community-Aware Attributed Graph Anomaly Detection.
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.
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.
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.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Evidential Temporal-aware Graph-based Social Event Detection via Dempster-Shafer Theory.
Proceedings of the IEEE International Conference on Web Services, 2022

PD-SRS: Personalized Diversity for a Fair Session-Based Recommendation System.
Proceedings of the Service-Oriented Computing - 20th International Conference, 2022

Heterogeneous Graph Neural Network for Privacy-Preserving Recommendation.
Proceedings of the IEEE International Conference on Data Mining, 2022

HiGIL: Hierarchical Graph Inference Learning for Fact Checking.
Proceedings of the IEEE International Conference on Data Mining, 2022

DAGAD: Data Augmentation for Graph Anomaly Detection.
Proceedings of the IEEE International Conference on Data Mining, 2022

Automating DBSCAN via Deep Reinforcement Learning.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Cross-Network Social User Embedding with Hybrid Differential Privacy Guarantees.
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.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Graph Structure Learning with Variational Information Bottleneck.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
A fairness-aware multi-stakeholder recommender system.
World Wide Web, 2021

Intelligent Data Collaboration in Heterogeneous-device IoT Platforms.
ACM Trans. Sens. Networks, 2021

A Comprehensive Survey of the Key Technologies and Challenges Surrounding Vehicular Ad Hoc Networks.
ACM Trans. Intell. Syst. Technol., 2021

Deep Reinforcement Learning for Smart City Communication Networks.
IEEE Trans. Ind. Informatics, 2021

TigeCMN: On exploration of temporal interaction graph embedding via Coupled Memory Neural Networks.
Neural Networks, 2021

Enhancing Graph Neural Networks by a High-quality Aggregation of Beneficial Information.
Neural Networks, 2021

Exploring an edge convolution and normalization based approach for link prediction in complex networks.
J. Netw. Comput. Appl., 2021

Multi-task adversarial autoencoder network for face alignment in the wild.
Neurocomputing, 2021

Analysis and improvement of the latency-based congestion control algorithm DX.
Future Gener. Comput. Syst., 2021

CoTrRank: Trust Ranking on Twitter.
IEEE Intell. Syst., 2021

A Comprehensive Survey on Graph Anomaly Detection with Deep Learning.
CoRR, 2021

SUGAR: Subgraph Neural Network with Reinforcement Pooling and Self-Supervised Mutual Information Mechanism.
Proceedings of the WWW '21: The Web Conference 2021, 2021

Task-adaptive Neural Process for User Cold-Start Recommendation.
Proceedings of the WWW '21: The Web Conference 2021, 2021

Knowledge-Preserving Incremental Social Event Detection via Heterogeneous GNNs.
Proceedings of the WWW '21: The Web Conference 2021, 2021

WorP: A Novel Worker Performance Prediction Model for General Tasks on Crowdsourcing Platforms.
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.
Proceedings of the 2021 IEEE International Conference on Web Services, 2021

FRAUDRE: Fraud Detection Dual-Resistant to Graph Inconsistency and Imbalance.
Proceedings of the IEEE International Conference on Data Mining, 2021

Disentangled Deep Multivariate Hawkes Process for Learning Event Sequences.
Proceedings of the IEEE International Conference on Data Mining, 2021

ACE-HGNN: Adaptive Curvature Exploration Hyperbolic Graph Neural Network.
Proceedings of the IEEE International Conference on Data Mining, 2021

DynSTGAT: Dynamic Spatial-Temporal Graph Attention Network for Traffic Signal Control.
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.
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.
World Wide Web, 2020

Detecting the evolving community structure in dynamic social networks.
World Wide Web, 2020

Let's CoRank: trust of users and tweets on social networks.
World Wide Web, 2020

Time-Variant Graph Classification.
IEEE Trans. Syst. Man Cybern. Syst., 2020

Dual Implicit Mining-Based Latent Friend Recommendation.
IEEE Trans. Syst. Man Cybern. Syst., 2020

Multi-View Multi-Label Learning With Sparse Feature Selection for Image Annotation.
IEEE Trans. Multim., 2020

CenEEGs: Valid EEG Selection for Classification.
ACM Trans. Knowl. Discov. Data, 2020

MeMu: Metric correlation Siamese network and multi-class negative sampling for visual tracking.
Pattern Recognit., 2020

Dynamic Edge Access System in IoT Environment.
IEEE Internet Things J., 2020

Infrared and visible image fusion via detail preserving adversarial learning.
Inf. Fusion, 2020

Siamese capsule networks with global and local features for text classification.
Neurocomputing, 2020

Survey and Open Problems in Privacy Preserving Knowledge Graph: Merging, Query, Representation, Completion and Applications.
CoRR, 2020

Microcluster-Based Incremental Ensemble Learning for Noisy, Nonstationary Data Streams.
Complex., 2020

IEEE Access Special Section Editorial: Advanced Data Mining Methods for Social Computing.
IEEE Access, 2020

Graph Geometry Interaction Learning.
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.
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.
Proceedings of the MobiQuitous '20: Computing, 2020

Parallel DNN Inference Framework Leveraging a Compact RISC-V ISA-based Multi-core System.
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.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Opinion Maximization in Social Trust Networks.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Deep Learning for Community Detection: Progress, Challenges and Opportunities.
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.
Proceedings of the 2020 IEEE International Conference on Web Services, 2020

AtNE-Trust: Attributed Trust Network Embedding for Trust Prediction in Online Social Networks.
Proceedings of the 20th IEEE International Conference on Data Mining, 2020

Deep Semantic Network Representation.
Proceedings of the 20th IEEE International Conference on Data Mining, 2020

Exploratory Adversarial Attacks on Graph Neural Networks.
Proceedings of the 20th IEEE International Conference on Data Mining, 2020

A Knowledge-Aware Attentional Reasoning Network for Recommendation.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Temporal Network Embedding with High-Order Nonlinear Information.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

An Ethical Multi-Stakeholder Recommender System Based on Evolutionary Multi-Objective Optimization.
Proceedings of the 2020 IEEE International Conference on Services Computing, 2020

FDA-VeD: A Future-Demand-Aware Vehicle Dispatching Service.
Proceedings of the 2020 IEEE International Conference on Services Computing, 2020

2019
Nonrigid Point Set Registration With Robust Transformation Learning Under Manifold Regularization.
IEEE Trans. Neural Networks Learn. Syst., 2019

A Correlation-Based Feature Weighting Filter for Naive Bayes.
IEEE Trans. Knowl. Data Eng., 2019

Detecting and Assessing Anomalous Evolutionary Behaviors of Nodes in Evolving Social Networks.
ACM Trans. Knowl. Discov. Data, 2019

Multi-View Fusion with Extreme Learning Machine for Clustering.
ACM Trans. Intell. Syst. Technol., 2019

Learning Shapelet Patterns from Network-Based Time Series.
IEEE Trans. Ind. Informatics, 2019

Time series feature learning with labeled and unlabeled data.
Pattern Recognit., 2019

Salient Subsequence Learning for Time Series Clustering.
IEEE Trans. Pattern Anal. Mach. Intell., 2019

An unsupervised parameter learning model for RVFL neural network.
Neural Networks, 2019

Robust correlation filter tracking with multi-scale spatial view.
Neurocomputing, 2019

Improved Coupled Tensor Factorization with Its Applications in Health Data Analysis.
Complex., 2019

A Destination Prediction Network Based on Spatiotemporal Data for Bike-Sharing.
Complex., 2019

IEEE Access Special Section Editorial: Advanced Data Analytics for Large-Scale Complex Data Environments.
IEEE Access, 2019

GroExpert: A Novel Group-Aware Experts Identification Approach in Crowdsourcing.
Proceedings of the Web Information Systems Engineering - WISE 2019, 2019

ReInCre: Enhancing Collaborative Filtering Recommendations by Incorporating User Rating Credibility.
Proceedings of the Web Information Systems Engineering, 2019

Modeling and Analysis of the Latency-Based Congestion Control Algorithm DX.
Proceedings of the Network and Parallel Computing, 2019

Link Prediction with Signed Latent Factors in Signed Social Networks.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Smooth Deep Network Embedding.
Proceedings of the International Joint Conference on Neural Networks, 2019

Evolutionary Community Detection in Dynamic Social Networks.
Proceedings of the International Joint Conference on Neural Networks, 2019

Deep Structure Learning for Rumor Detection on Twitter.
Proceedings of the International Joint Conference on Neural Networks, 2019

Neighborhood-Aware Attentional Representation for Multilingual Knowledge Graphs.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Noise-Resilient Similarity Preserving Network Embedding for Social Networks.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

CoTrRank: Trust Evaluation of Users and Tweets.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Deep Active Learning for Anchor User Prediction.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Social Trust Network Embedding.
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

DeepTrust: A Deep User Model of Homophily Effect for Trust Prediction.
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

Guiding Cross-lingual Entity Alignment via Adversarial Knowledge Embedding.
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

Automatic Knowledge Graph Construction: A Report on the 2019 ICDM/ICBK Contest.
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

2018
Dual influence embedded social recommendation.
World Wide Web, 2018

Multiple Structure-View Learning for Graph Classification.
IEEE Trans. Neural Networks Learn. Syst., 2018

A Novel Consistent Random Forest Framework: Bernoulli Random Forests.
IEEE Trans. Neural Networks Learn. Syst., 2018

Multi-Instance Learning with Discriminative Bag Mapping.
IEEE Trans. Knowl. Data Eng., 2018

Dynamic Island Model based on Spectral Clustering in Genetic Algorithm.
CoRR, 2018

Advances in Processing, Mining, and Learning Complex Data: From Foundations to Real-World Applications.
Complex., 2018

Brain EEG Time Series Selection: A Novel Graph-Based Approach for Classification.
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.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

FraudNE: a Joint Embedding Approach for Fraud Detection.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Individual Interest and Trust Driving Collective Intelligence Awareness for Social Recommendation.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

A Novel Deep Learning Approach: Stacked Evolutionary Auto-encoder.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

A Deep Framework for Cross-Domain and Cross-System Recommendations.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Self-Representative Manifold Concept Factorization with Adaptive Neighbors for Clustering.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Active Discriminative Network Representation Learning.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Recommendation with Multi-Source Heterogeneous Information.
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.
Proceedings of the Service-Oriented Computing - 16th International Conference, 2018

Probabilistic Graph Embedding for Unsupervised Domain Adaptation.
Proceedings of the 24th International Conference on Pattern Recognition, 2018

TLR: Transfer Latent Representation for Unsupervised Domain Adaptation.
Proceedings of the 2018 IEEE International Conference on Multimedia and Expo, 2018

VCF: Velocity Correlation Filter, Towards Space-Borne Satellite Video Tracking.
Proceedings of the 2018 IEEE International Conference on Multimedia and Expo, 2018

Deep Structure Learning for Fraud Detection.
Proceedings of the IEEE International Conference on Data Mining, 2018

Nonlocal Patch Based t-SVD for Image Inpainting: Algorithm and Error Analysis.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Social Recommendation with an Essential Preference Space.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Combining Structured Node Content and Topology Information for Networked Graph Clustering.
ACM Trans. Knowl. Discov. Data, 2017

Positive and Unlabeled Multi-Graph Learning.
IEEE Trans. Cybern., 2017

Task Sensitive Feature Exploration and Learning for Multitask Graph Classification.
IEEE Trans. Cybern., 2017

Stacked Convolutional Denoising Auto-Encoders for Feature Representation.
IEEE Trans. Cybern., 2017

Instance cloned extreme learning machine.
Pattern Recognit., 2017

SALE: Self-adaptive LSH encoding for multi-instance learning.
Pattern Recognit., 2017

A less-greedy two-term Tsallis Entropy Information Metric approach for decision tree classification.
Knowl. Based Syst., 2017

Boosting for graph classification with universum.
Knowl. Inf. Syst., 2017

Toward value difference metric with attribute weighting.
Knowl. Inf. Syst., 2017

Link sign prediction by Variational Bayesian Probabilistic Matrix Factorization with Student-t Prior.
Inf. Sci., 2017

Collective Hyping Detection System for Identifying Online Spam Activities.
IEEE Intell. Syst., 2017

Subpopulation Diversity Based Selecting Migration Moment in Distributed Evolutionary Algorithms.
CoRR, 2017

Towards large-scale social networks with online diffusion provenance detection.
Comput. Networks, 2017

Dynamic island model based on spectral clustering in genetic algorithm.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

CPMF: A collective pairwise matrix factorization model for upcoming event recommendation.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Pre-trained Extreme Learning Machine.
Proceedings of the Neural Information Processing - 24th International Conference, 2017

Collaborative Dynamic Sparse Topic Regression with User Profile Evolution for Item Recommendation.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
Joint Structure Feature Exploration and Regularization for Multi-Task Graph Classification.
IEEE Trans. Knowl. Data Eng., 2016

Memetic Extreme Learning Machine.
Pattern Recognit., 2016

SODE: Self-Adaptive One-Dependence Estimators for classification.
Pattern Recognit., 2016

Big social network influence maximization via recursively estimating influence spread.
Knowl. Based Syst., 2016

Multi-graph-view subgraph mining for graph classification.
Knowl. Inf. Syst., 2016

PIGMIL: Positive Instance Detection via Graph Updating for Multiple Instance Learning.
CoRR, 2016

Time-Variant Graph Classification.
CoRR, 2016

Multi-instance graphical transfer clustering for traffic data learning.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Mining subcascade features for cascade outbreak prediction in big networks.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Training deep neural networks on imbalanced data sets.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

A recursive method for big network influence estimation.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Evolutionary lazy learning for Naive Bayes classification.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Unsupervised Feature Learning from Time Series.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Bernoulli Random Forests: Closing the Gap between Theoretical Consistency and Empirical Soundness.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Tri-Party Deep Network Representation.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Semi-Data-Driven Network Coarsening.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Inferring Latent Network from Cascade Data for Dynamic Social Recommendation.
Proceedings of the IEEE 16th International Conference on Data Mining, 2016

Multiple-Instance Learning with Evolutionary Instance Selection.
Proceedings of the Database Systems for Advanced Applications, 2016

Global and Local Influence-based Social Recommendation.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

Collaborative Social Group Influence for Event Recommendation.
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.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

Direct Discriminative Bag Mapping for Multi-Instance Learning.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015
Multi-graph learning
PhD thesis, 2015

CogBoost: Boosting for Fast Cost-Sensitive Graph Classification.
IEEE Trans. Knowl. Data Eng., 2015

Boosting for Multi-Graph Classification.
IEEE Trans. Cybern., 2015

Graph Ensemble Boosting for Imbalanced Noisy Graph Stream Classification.
IEEE Trans. Cybern., 2015

Finding the best not the most: regularized loss minimization subgraph selection for graph classification.
Pattern Recognit., 2015

Locally Weighted Learning: How and When Does it Work in Bayesian Networks?
Int. J. Comput. Intell. Syst., 2015

Self-adaptive attribute weighting for Naive Bayes classification.
Expert Syst. Appl., 2015

A memetic algorithm based extreme learning machine for classification.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

Multi-Graph-View Learning for Complicated Object Classification.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Mining Top-k Minimal Redundancy Frequent Patterns over Uncertain Databases.
Proceedings of the Neural Information Processing - 22nd International Conference, 2015

2014
Bag Constrained Structure Pattern Mining for Multi-Graph Classification.
IEEE Trans. Knowl. Data Eng., 2014

A naive Bayes probability estimation model based on self-adaptive differential evolution.
J. Intell. Inf. Syst., 2014

Learning attribute weighted AODE for ROC area ranking.
Int. J. Inf. Commun. Technol., 2014

Multi-Graph Learning with Positive and Unlabeled Bags.
Proceedings of the 2014 SIAM International Conference on Data Mining, 2014

Multi-Instance Learning from Positive and Unlabeled Bags.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2014

Dual instance and attribute weighting for Naive Bayes classification.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Attribute weighting: How and when does it work for Bayesian Network Classification.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Multi-graph-view Learning for Graph Classification.
Proceedings of the 2014 IEEE International Conference on Data Mining, 2014

Exploring Features for Complicated Objects: Cross-View Feature Selection for Multi-Instance Learning.
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.
J. Softw., 2013

Boosting for superparent-one-dependence estimators.
Int. J. Comput. Sci. Math., 2013

Active AODE learning based on a novel sampling strategy and its application.
Int. J. Comput. Appl. Technol., 2013

Artificial immune system for attribute weighted Naive Bayes classification.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

Self-adaptive probability estimation for Naive Bayes classification.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

Multi-instance Multi-graph Dual Embedding Learning.
Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013

2012
Attribute Weighting via Differential Evolution for Attribute Weighted Clonal Selection Algorithm.
J. Comput., 2012

Hybrid dynamic k-nearest-neighbour and distance and attribute weighted method for classification.
Int. J. Comput. Appl. Technol., 2012

2009
An Empirical Study on Several Classification Algorithms and Their Improvements.
Proceedings of the Advances in Computation and Intelligence, 4th International Symposium, 2009

2008
A Combined Classification Algorithm Based on C4.5 and NB.
Proceedings of the Advances in Computation and Intelligence, Third International Symposium, 2008


  Loading...