Guandong Xu

Orcid: 0000-0003-4493-6663

Affiliations:
  • University of Technology Sydney, School of Computer Science and Data Science, Advanced Analytics Institute, Sydney, Australia
  • Victoria University, Melbourne, Australia (PhD 2009)


According to our database1, Guandong Xu authored at least 409 papers between 2004 and 2024.

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Bibliography

2024
Constrained Off-policy Learning over Heterogeneous Information for Fairness-aware Recommendation.
Trans. Recomm. Syst., December, 2024

Category-aware self-supervised graph neural network for session-based recommendation.
World Wide Web (WWW), September, 2024

Attention Is Not the Only Choice: Counterfactual Reasoning for Path-Based Explainable Recommendation.
IEEE Trans. Knowl. Data Eng., September, 2024

MHANER: A Multi-source Heterogeneous Graph Attention Network for Explainable Recommendation in Online Games.
ACM Trans. Intell. Syst. Technol., August, 2024

Guest Editorial: Special Issue on Generating Human Readable Explanations in NLP.
IEEE Trans. Comput. Soc. Syst., August, 2024

Natural language interactions enhanced by data visualization to explore insurance claims and manage risk.
Ann. Oper. Res., August, 2024

Counterfactual Explanation for Fairness in Recommendation.
ACM Trans. Inf. Syst., July, 2024

Reinforced Path Reasoning for Counterfactual Explainable Recommendation.
IEEE Trans. Knowl. Data Eng., July, 2024

Multi-view GCN for loan default risk prediction.
Neural Comput. Appl., July, 2024

Counterfactual Explainable Conversational Recommendation.
IEEE Trans. Knowl. Data Eng., June, 2024

Temporal Diversity-Aware Micro-Video Recommendation with Long- and Short-Term Interests Modeling.
Neural Process. Lett., June, 2024

Decoupled Progressive Distillation for Sequential Prediction with Interaction Dynamics.
ACM Trans. Inf. Syst., May, 2024

Hierarchical Convolutional Attention Network for Depression Detection on Social Media and Its Impact During Pandemic.
IEEE J. Biomed. Health Informatics, April, 2024

Dynamic Recommendation Based on Graph Diffusion and Ebbinghaus Curve.
IEEE Trans. Comput. Soc. Syst., April, 2024

Editorial to Special Issue on Multimedia Cognitive Computing for Intelligent Transportation System.
ACM Trans. Multim. Comput. Commun. Appl., February, 2024

FASTER: A Dynamic Fairness-assurance Strategy for Session-based Recommender Systems.
ACM Trans. Inf. Syst., January, 2024

Multi-View Enhanced Graph Attention Network for Session-Based Music Recommendation.
ACM Trans. Inf. Syst., January, 2024

Fairness in Recommender Systems: Evaluation Approaches and Assurance Strategies.
ACM Trans. Knowl. Discov. Data, January, 2024

Strategies for evaluating visual analytics systems: A systematic review and new perspectives.
Inf. Vis., January, 2024

Dyformer: A dynamic transformer-based architecture for multivariate time series classification.
Inf. Sci., January, 2024

Exploring explicit and implicit graph learning for multivariate time series imputation.
Eng. Appl. Artif. Intell., January, 2024

Semi-Supervised Adversarial Learning for Attribute-Aware Photo Aesthetic Assessment.
IEEE Trans. Multim., 2024

Automated Data Visualization from Natural Language via Large Language Models: An Exploratory Study.
Proc. ACM Manag. Data, 2024

Modeling multi-behavior sequence via HyperGRU contrastive network for micro-video recommendation.
Knowl. Based Syst., 2024

Causality-based counterfactual explanation for classification models.
Knowl. Based Syst., 2024

Neural Causal Graph collaborative filtering.
Inf. Sci., 2024

Modeling dynamic spatio-temporal correlations and transitions with time window partitioning for traffic flow prediction.
Expert Syst. Appl., 2024

Achieving counterfactual fairness with imperfect structural causal model.
Expert Syst. Appl., 2024

LATEX-GCL: Large Language Models (LLMs)-Based Data Augmentation for Text-Attributed Graph Contrastive Learning.
CoRR, 2024

Graph and Sequential Neural Networks in Session-based Recommendation: A Survey.
CoRR, 2024

Reasoning Factual Knowledge in Structured Data with Large Language Models.
CoRR, 2024

NarrationDep: Narratives on Social Media For Automatic Depression Detection.
CoRR, 2024

RVISA: Reasoning and Verification for Implicit Sentiment Analysis.
CoRR, 2024

Expert-Guided Extinction of Toxic Tokens for Debiased Generation.
CoRR, 2024

Compressing Long Context for Enhancing RAG with AMR-based Concept Distillation.
CoRR, 2024

A Temporally Disentangled Contrastive Diffusion Model for Spatiotemporal Imputation.
CoRR, 2024

APLe: Token-Wise Adaptive for Multi-Modal Prompt Learning.
CoRR, 2024

Deep Learning for Code Intelligence: Survey, Benchmark and Toolkit.
CoRR, 2024

API Recommendation For Mashup Creation: A Comprehensive Survey.
Comput. J., 2024

A topic-controllable keywords-to-text generator with knowledge base network.
CAAI Trans. Intell. Technol., 2024

Challenging Low Homophily in Social Recommendation.
Proceedings of the ACM on Web Conference 2024, 2024

IDoFew: Intermediate Training Using Dual-Clustering in Language Models for Few Labels Text Classification.
Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

Homogeneous-listing-augmented Self-supervised Multimodal Product Title Refinement.
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

DySarl: Dynamic Structure-Aware Representation Learning for Multimodal Knowledge Graph Reasoning.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Toward Structure Fairness in Dynamic Graph Embedding: A Trend-aware Dual Debiasing Approach.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Graph Neural Networks for Vulnerability Detection: A Counterfactual Explanation.
Proceedings of the 33rd ACM SIGSOFT International Symposium on Software Testing and Analysis, 2024

KG-CoT: Chain-of-Thought Prompting of Large Language Models over Knowledge Graphs for Knowledge-Aware Question Answering.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Does Label Smoothing Help Deep Partial Label Learning?
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Structure- and Logic-Aware Heterogeneous Graph Learning for Recommendation.
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

CrimeAlarm: Towards Intensive Intent Dynamics in Fine-Grained Crime Prediction.
Proceedings of the Database Systems for Advanced Applications, 2024

Graph Reasoning Transformers for Knowledge-Aware Question Answering.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
AIoT for sustainable manufacturing: Overview, challenges, and opportunities.
Internet Things, December, 2023

An effective method for the protection of user health topic privacy for health information services.
World Wide Web (WWW), November, 2023

Self-Supervised Hypergraph Representation Learning for Sociological Analysis.
IEEE Trans. Knowl. Data Eng., November, 2023

Reinforcement Learning Based Path Exploration for Sequential Explainable Recommendation.
IEEE Trans. Knowl. Data Eng., November, 2023

Mitigating the performance sacrifice in DP-satisfied federated settings through graph contrastive learning.
Inf. Sci., November, 2023

Intent-aware Graph Neural Network for Point-of-Interest embedding and recommendation.
Neurocomputing, November, 2023

Trustworthy Recommendation and Search: Introduction to the Special Section - Part 2.
ACM Trans. Inf. Syst., October, 2023

Causal Disentanglement for Semantic-Aware Intent Learning in Recommendation.
IEEE Trans. Knowl. Data Eng., October, 2023

Graph-Aware Deep Fusion Networks for Online Spam Review Detection.
IEEE Trans. Comput. Soc. Syst., October, 2023

Hyperbolic Neural Collaborative Recommender.
IEEE Trans. Knowl. Data Eng., September, 2023

Causal Optimal Transport for Treatment Effect Estimation.
IEEE Trans. Neural Networks Learn. Syst., August, 2023

Event-based incremental recommendation via factors mixed Hawkes process.
Inf. Sci., August, 2023

A Confusion Method for the Protection of User Topic Privacy in Chinese Keyword-based Book Retrieval.
ACM Trans. Asian Low Resour. Lang. Inf. Process., May, 2023

Guest Editorial Open and Interpretable AI in Computational Pathology.
IEEE J. Biomed. Health Informatics, April, 2023

Attentional Gated Res2Net for Multivariate Time Series Classification.
Neural Process. Lett., April, 2023

Deconfounded recommendation via causal intervention.
Neurocomputing, April, 2023

Federated Learning for Privacy Preservation of Healthcare Data From Smartphone-Based Side-Channel Attacks.
IEEE J. Biomed. Health Informatics, February, 2023

Be Causal: De-Biasing Social Network Confounding in Recommendation.
ACM Trans. Knowl. Discov. Data, January, 2023

Social responses to the COVID-19 pandemic.
Behav. Inf. Technol., January, 2023

Trustworthy Recommendation and Search: Introduction to the Special Issue - Part 1.
ACM Trans. Inf. Syst., 2023

Churn Prediction via Multimodal Fusion Learning: Integrating Customer Financial Literacy, Voice, and Behavioral Data.
CoRR, 2023

GATGPT: A Pre-trained Large Language Model with Graph Attention Network for Spatiotemporal Imputation.
CoRR, 2023

LLaMA-E: Empowering E-commerce Authoring with Multi-Aspect Instruction Following.
CoRR, 2023

Causal Neural Graph Collaborative Filtering.
CoRR, 2023

Causal Analysis of Customer Churn Using Deep Learning.
CoRR, 2023

Generating Counterfactual Hard Negative Samples for Graph Contrastive Learning.
Proceedings of the ACM Web Conference 2023, 2023

Exploiting Explicit and Implicit Item relationships for Session-based Recommendation.
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

Simplifying Graph-based Collaborative Filtering for Recommendation.
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

Dynamic Graph Evolution Learning for Recommendation.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Model-Agnostic Decentralized Collaborative Learning for On-Device POI Recommendation.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

An Extended Variational Mode Decomposition Algorithm Developed Speech Emotion Recognition Performance.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2023

CeFlow: A Robust and Efficient Counterfactual Explanation Framework for Tabular Data Using Normalizing Flows.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2023

An Empirical Study Towards Prompt-Tuning for Graph Contrastive Pre-Training in Recommendations.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Explainable exclusion in the life insurance using multi-label classifier.
Proceedings of the International Joint Conference on Neural Networks, 2023

SOAC: Supervised Off-Policy Actor-Critic for Recommender Systems.
Proceedings of the IEEE International Conference on Data Mining, 2023

IE-Evo: Internal and External Evolution-Enhanced Temporal Knowledge Graph Forecasting.
Proceedings of the IEEE International Conference on Data Mining, 2023

RETIA: Relation-Entity Twin-Interact Aggregation for Temporal Knowledge Graph Extrapolation.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

Causality-guided Graph Learning for Session-based Recommendation.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Towards Communication-Efficient Model Updating for On-Device Session-Based Recommendation.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

From Time Series to Multi-modality: Classifying Multivariate Time Series via Both 1D and 2D Representations.
Proceedings of the Advanced Data Mining and Applications - 19th International Conference, 2023

MTSTI: A Multi-task Learning Framework for Spatiotemporal Imputation.
Proceedings of the Advanced Data Mining and Applications - 19th International Conference, 2023

AMR-TST: Abstract Meaning Representation-based Text Style Transfer.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

HaPPy: Harnessing the Wisdom from Multi-Perspective Graphs for Protein-Ligand Binding Affinity Prediction (Student Abstract).
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Improved Churn Causal Analysis Through Restrained High-Dimensional Feature Space Effects in Financial Institutions.
Hum. Centric Intell. Syst., July, 2022

Online Spam Review Detection: A Survey of Literature.
Hum. Centric Intell. Syst., June, 2022

Explainable depression detection with multi-aspect features using a hybrid deep learning model on social media.
World Wide Web, 2022

API-GNN: attribute preserving oriented interactive graph neural network.
World Wide Web, 2022

Reinforced KGs reasoning for explainable sequential recommendation.
World Wide Web, 2022

Causal inference for the impact of economic policy on financial and labour markets amid the COVID-19 pandemic.
Web Intell., 2022

Deep treatment-adaptive network for causal inference.
VLDB J., 2022

Reinforcement-Learning-Guided Source Code Summarization Using Hierarchical Attention.
IEEE Trans. Software Eng., 2022

Modeling Sequential Listening Behaviors With Attentive Temporal Point Process for Next and Next New Music Recommendation.
IEEE Trans. Multim., 2022

V-SVR+: Support Vector Regression With Variational Privileged Information.
IEEE Trans. Multim., 2022

Guest Editorial: Privacy-Preserving Federated Machine Learning Solutions for Enhanced Security of Critical Energy Infrastructures.
IEEE Trans. Ind. Informatics, 2022

Sequential Recommendation Based on Multivariate Hawkes Process Embedding With Attention.
IEEE Trans. Cybern., 2022

Privileged multi-task learning for attribute-aware aesthetic assessment.
Pattern Recognit., 2022

Improving healthcare outcomes using multimedia big data analytics.
Neural Comput. Appl., 2022

Analyzing the Impact of Demographic Variables on Spreading and Forecasting COVID-19.
J. Heal. Informatics Res., 2022

Detecting Duplicate Questions in Stack Overflow via Source Code Modeling.
Int. J. Softw. Eng. Knowl. Eng., 2022

Social dual-effect driven group modeling for neural group recommendation.
Neurocomputing, 2022

Stochastic intervention for causal inference via reinforcement learning.
Neurocomputing, 2022

One-class tensor machine with randomized projection for large-scale anomaly detection in high-dimensional and noisy data.
Int. J. Intell. Syst., 2022

Learning persona-driven personalized sentimental representation for review-based recommendation.
Expert Syst. Appl., 2022

COV19IR : COVID-19 Domain Literature Information Retrieval.
CoRR, 2022

Federated Graph Contrastive Learning.
CoRR, 2022

Reinforced Path Reasoning for Counterfactual Explainable Recommendation.
CoRR, 2022

Generating Counterfactual Hard Negative Samples for Graph Contrastive Learning.
CoRR, 2022

Graph Masked Autoencoder.
CoRR, 2022

Causal Disentanglement for Semantics-Aware Intent Learning in Recommendation.
CoRR, 2022

Domain-specific NLP system to support learning path and curriculum design at tech universities.
Comput. Educ. Artif. Intell., 2022

Unsupervised Graph Poisoning Attack via Contrastive Loss Back-propagation.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Dual Space Graph Contrastive Learning.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Off-policy Learning over Heterogeneous Information for Recommendation.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Geometric Inductive Matrix Completion: A Hyperbolic Approach with Unified Message Passing.
Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

Graph Neural Network with Self-attention and Multi-task Learning for Credit Default Risk Prediction.
Proceedings of the Web Information Systems Engineering - WISE 2022, 2022

Cross-Language Binary-Source Code Matching with Intermediate Representations.
Proceedings of the IEEE International Conference on Software Analysis, 2022

You see what I want you to see: poisoning vulnerabilities in neural code search.
Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2022

MGPolicy: Meta Graph Enhanced Off-policy Learning for Recommendations.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

On-Device Next-Item Recommendation with Self-Supervised Knowledge Distillation.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Semantics-Guided Disentangled Learning for Recommendation.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2022

A Two-Tower Spatial-Temporal Graph Neural Network for Traffic Speed Prediction.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2022

Leveraged Mel Spectrograms Using Harmonic and Percussive Components in Speech Emotion Recognition.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2022

What Do They Capture? - A Structural Analysis of Pre-Trained Language Models for Source Code.
Proceedings of the 44th IEEE/ACM 44th International Conference on Software Engineering, 2022

NaturalCC: An Open-Source Toolkit for Code Intelligence.
Proceedings of the 44th IEEE/ACM International Conference on Software Engineering: Companion Proceedings, 2022

Adaptive Graph Recurrent Network for Multivariate Time Series Imputation.
Proceedings of the Neural Information Processing - 29th International Conference, 2022

Temporal Knowledge Graph Reasoning via Time-Distributed Representation Learning.
Proceedings of the IEEE International Conference on Data Mining, 2022

Can Language Models Serve as Temporal Knowledge Bases?
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

DialMed: A Dataset for Dialogue-based Medication Recommendation.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

DA-Net: Distributed Attention Network for Temporal Knowledge Graph Reasoning.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Big Data and Artificial Intelligence (AI) to Detect Glaucoma.
Proceedings of the 9th International Conference on Behavioural and Social Computing, 2022

ECTRS: A Personalised Early Career Trajectory Recommender System for Youths.
Proceedings of the 9th International Conference on Behavioural and Social Computing, 2022

Evidence-Based Process in Research Involving Machine Learning Algorithms.
Proceedings of the 9th International Conference on Behavioural and Social Computing, 2022

An Explanation Module for Deep Neural Networks Facing Multivariate Time Series Classification.
Proceedings of the AI 2021: Advances in Artificial Intelligence, 2022

Predicting Financial Literacy via Semi-supervised Learning.
Proceedings of the AI 2021: Advances in Artificial Intelligence, 2022

Blockchain-based solutions for Humanitarian supply Chain Management.
Proceedings of the 28th Americas Conference on Information Systems, 2022

Being Automated or Not? Risk Identification of Occupations with Graph Neural Networks.
Proceedings of the Advanced Data Mining and Applications - 18th International Conference, 2022

Caching Hierarchical Skylines for Efficient Service Composition on Service Graphs.
Proceedings of the IEEE International Conference on Services Computing, 2022

2021
DFIAM: deep factorization integrated attention mechanism for smart TV recommendation.
World Wide Web, 2021

Constructing dummy query sequences to protect location privacy and query privacy in location-based services.
World Wide Web, 2021

Attentive sequential model based on graph neural network for next poi recommendation.
World Wide Web, 2021

RLINK: Deep reinforcement learning for user identity linkage.
World Wide Web, 2021

Aspect-level sentiment capsule network for micro-video click-through rate prediction.
World Wide Web, 2021

FCCA: Hybrid Code Representation for Functional Clone Detection Using Attention Networks.
IEEE Trans. Reliab., 2021

CAME: Content- and Context-Aware Music Embedding for Recommendation.
IEEE Trans. Neural Networks Learn. Syst., 2021

Detecting Community Depression Dynamics Due to COVID-19 Pandemic in Australia.
IEEE Trans. Comput. Soc. Syst., 2021

Guest Editorial Computational Social Systems for COVID-19 Emergency Management and Beyond.
IEEE Trans. Comput. Soc. Syst., 2021

Socially-driven multi-interaction attentive group representation learning for group recommendation.
Pattern Recognit. Lett., 2021

Towards purchase prediction: A transaction-based setting and a graph-based method leveraging price information.
Pattern Recognit., 2021

From text to graph: a general transition-based AMR parsing using neural network.
Neural Comput. Appl., 2021

Leveraging unstructured call log data for customer churn prediction.
Knowl. Based Syst., 2021

Leveraging multi-level dependency of relational sequences for social spammer detection.
Neurocomputing, 2021

Enhancing session-based social recommendation through item graph embedding and contextual friendship modeling.
Neurocomputing, 2021

<i>DiaVis</i>: Exploration and Analysis of Diabetes through Visual Interactive System.
Hum. Centric Intell. Syst., 2021

Human-Centric Intelligent Systems: A Welcome Note from Editor(s)-in-Chief.
Hum. Centric Intell. Syst., 2021

Deep Visual Analytics (DVA): Applications, Challenges and Future Directions.
Hum. Centric Intell. Syst., 2021

DepressionNet: A Novel Summarization Boosted Deep Framework for Depression Detection on Social Media.
CoRR, 2021

Where are we in embedding spaces? A Comprehensive Analysis on Network Embedding Approaches for Recommender Systems.
CoRR, 2021

Be Causal: De-biasing Social Network Confounding in Recommendation.
CoRR, 2021

Prototype-based Counterfactual Explanation for Causal Classification.
CoRR, 2021

Hyperbolic Neural Collaborative Recommender.
CoRR, 2021

Time-aware sequence model for next-item recommendation.
Appl. Intell., 2021

Temporal Meta-path Guided Explainable Recommendation.
Proceedings of the WSDM '21, 2021

Expert Recommendations with Temporal Dynamics of User Interest in CQA.
Proceedings of the Web Information Systems Engineering - WISE 2021, 2021

HACK: A Hierarchical Model for Fake News Detection.
Proceedings of the Web Information Systems Engineering - WISE 2021, 2021

DepressionNet: Learning Multi-modalities with User Post Summarization for Depression Detection on Social Media.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

TFROM: A Two-sided Fairness-Aware Recommendation Model for Both Customers and Providers.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

C<sup>2</sup>-Guard: A Cross-Correlation Gaining Framework for Urban Air Quality Prediction.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2021

Where are we in embedding spaces?
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

ExTraVis: Exploration of Traffic Incidents Using a Visual Interactive System.
Proceedings of the 25th International Conference Information Visualisation, 2021

UCBVis: Understanding Customer Behavior Sequences with Visual Interactive System.
Proceedings of the International Joint Conference on Neural Networks, 2021

Stochastic Intervention for Causal Effect Estimation.
Proceedings of the International Joint Conference on Neural Networks, 2021

Hyper Meta-Path Contrastive Learning for Multi-Behavior Recommendation.
Proceedings of the IEEE International Conference on Data Mining, 2021

Hilbert Sinkhorn Divergence for Optimal Transport.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Causal-Aware Generative Imputation for Automated Underwriting.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

TagPick: A System for Bridging Micro-Video Hashtags and E-commerce Categories.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Click-Through Rate Prediction with Multi-Modal Hypergraphs.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

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

ExVis: Explainable Visual Decision Support System for Risk Management.
Proceedings of the 8th International Conference on Behavioral and Social Computing, 2021

2020
Generative temporal link prediction via self-tokenized sequence modeling.
World Wide Web, 2020

A Location Privacy-Preserving System Based on Query Range Cover-Up or Location-Based Services.
IEEE Trans. Veh. Technol., 2020

Deep learning for misinformation detection on online social networks: a survey and new perspectives.
Soc. Netw. Anal. Min., 2020

Integrating joint feature selection into subspace learning: A formulation of 2DPCA for outliers robust feature selection.
Neural Networks, 2020

Big data analytics for preventive medicine.
Neural Comput. Appl., 2020

Learning with privileged information for photo aesthetic assessment.
Neurocomputing, 2020

Randomized nonlinear one-class support vector machines with bounded loss function to detect of outliers for large scale IoT data.
Future Gener. Comput. Syst., 2020

NaturalCC: A Toolkit to Naturalize the Source Code Corpus.
CoRR, 2020

Depression Detection with Multi-Modalities Using a Hybrid Deep Learning Model on Social Media.
CoRR, 2020

Causality Learning: A New Perspective for Interpretable Machine Learning.
CoRR, 2020

TranS^3: A Transformer-based Framework for Unifying Code Summarization and Code Search.
CoRR, 2020

Leveraging Sentiment Distributions to Distinguish Figurative From Literal Health Reports on Twitter.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Joint Relational Dependency Learning for Sequential Recommendation.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2020

FAST: A Fairness Assured Service Recommendation Strategy Considering Service Capacity Constraint.
Proceedings of the Service-Oriented Computing - 18th International Conference, 2020

Perf-AL: Performance Prediction for Configurable Software through Adversarial Learning.
Proceedings of the ESEM '20: ACM / IEEE International Symposium on Empirical Software Engineering and Measurement, 2020

Electricity Price Forecasting using Convolution and LSTM Models.
Proceedings of the 7th International Conference on Behavioural and Social Computing, 2020

MHIVis: Visual Analytics for Exploring Mental Illness of Policyholders in Life Insurance Industry.
Proceedings of the 7th International Conference on Behavioural and Social Computing, 2020

2019
Time-aware metric embedding with asymmetric projection for successive POI recommendation.
World Wide Web, 2019

A general framework for learning prosodic-enhanced representation of rap lyrics.
World Wide Web, 2019

SMS: A Framework for Service Discovery by Incorporating Social Media Information.
IEEE Trans. Serv. Comput., 2019

Multidimensional Balance-Based Cluster Boundary Detection for High-Dimensional Data.
IEEE Trans. Neural Networks Learn. Syst., 2019

Efficient Brain Tumor Segmentation With Multiscale Two-Pathway-Group Conventional Neural Networks.
IEEE J. Biomed. Health Informatics, 2019

BorderShift: toward optimal MeanShift vector for cluster boundary detection in high-dimensional data.
Pattern Anal. Appl., 2019

Constrained nonnegative matrix factorization-based semi-supervised multilabel learning.
Int. J. Mach. Learn. Cybern., 2019

What's Happening Around the World? A Survey and Framework on Event Detection Techniques on Twitter.
J. Grid Comput., 2019

Enhanced Heartbeat Graph for emerging event detection on Twitter using time series networks.
Expert Syst. Appl., 2019

Deep learning for decision making and the optimization of socially responsible investments and portfolio.
Decis. Support Syst., 2019

Social Influence-based Attentive Mavens Mining and Aggregative Representation Learning for Group Recommendation.
CoRR, 2019

Event Detection in Twitter Stream using Weighted Dynamic Heartbeat Graph Approach.
CoRR, 2019

Event Detection in Twitter Stream Using Weighted Dynamic Heartbeat Graph Approach [Application Notes].
IEEE Comput. Intell. Mag., 2019

Emotion Recognition from Music Enhanced by Domain Knowledge.
Proceedings of the PRICAI 2019: Trends in Artificial Intelligence, 2019

Multi-modal Attention Network Learning for Semantic Source Code Retrieval.
Proceedings of the 34th IEEE/ACM International Conference on Automated Software Engineering, 2019

A Boundary-aware Neural Model for Nested Named Entity Recognition.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Polynomial Representation for Persistence Diagram.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Electricity Price Forecast using Meteorology data: A study in Australian Energy Market.
Proceedings of the 6th International Conference on Behavioral, 2019

Prediction and Analysis of Rumour's Impact on Social Media.
Proceedings of the 6th International Conference on Behavioral, 2019

On Completing Sparse Knowledge Base with Transitive Relation Embedding.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Models for Community Dynamics.
Proceedings of the Encyclopedia of Social Network Analysis and Mining, 2nd Edition, 2018

Singular Value Decomposition.
Proceedings of the Encyclopedia of Database Systems, Second Edition, 2018

An effective approach for the protection of privacy text data in the CloudDB.
World Wide Web, 2018

Learning to embed music and metadata for context-aware music recommendation.
World Wide Web, 2018

SCSMiner: mining social coding sites for software developer recommendation with relevance propagation.
World Wide Web, 2018

An enhanced short text categorization model with deep abundant representation.
World Wide Web, 2018

Covering the Sensitive Subjects to Protect Personal Privacy in Personalized Recommendation.
IEEE Trans. Serv. Comput., 2018

Fuzzy Cognitive Diagnosis for Modelling Examinee Performance.
ACM Trans. Intell. Syst. Technol., 2018

Unsupervised Keyword Extraction from Microblog Posts via Hashtags.
J. Web Eng., 2018

An Approach for Generation of SPARQL Query from SQL Algebra based Transformation Rules of RDB to Ontology.
J. Softw., 2018

Sequence-based context-aware music recommendation.
Inf. Retr. J., 2018

Exploiting cross-source knowledge for warming up community question answering services.
Neurocomputing, 2018

GIST: A generative model with individual and subgroup-based topics for group recommendation.
Expert Syst. Appl., 2018

An approach for the protection of users' book browsing preference privacy in a digital library.
Electron. Libr., 2018

An Attention-Based Word-Level Interaction Model: Relation Detection for Knowledge Base Question Answering.
CoRR, 2018

An Attention-Based Word-Level Interaction Model for Knowledge Base Relation Detection.
IEEE Access, 2018

An Effective Joint Framework for Document Summarization.
Proceedings of the Companion of the The Web Conference 2018 on The Web Conference 2018, 2018

Knowledge-Based Recommendation with Hierarchical Collaborative Embedding.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018

Social Spammer Detection: A Multi-Relational Embedding Approach.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018

Multimodal Mixture Density Boosting Network for Personality Mining.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018

Text Stream to Temporal Network - A Dynamic Heartbeat Graph to Detect Emerging Events on Twitter.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018

Improving automatic source code summarization via deep reinforcement learning.
Proceedings of the 33rd ACM/IEEE International Conference on Automated Software Engineering, 2018

Workshop Proposal on Knowledge Discovery from Digital Libraries.
Proceedings of the 18th ACM/IEEE on Joint Conference on Digital Libraries, 2018

Robust 2D Joint Sparse Principal Component Analysis With F-Norm Minimization For Sparse Modelling: 2D-RJSPCA.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

A Multiple Source based Transfer Learning Framework for Marketing Campaigns.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Sequential Recommender System based on Hierarchical Attention Networks.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Client Churn Prediction with Call Log Analysis.
Proceedings of the Database Systems for Advanced Applications, 2018

Cost-Sensitive Churn Prediction in Fund Management Services.
Proceedings of the Database Systems for Advanced Applications, 2018

Taxpayer Behavior Prediction in SMS Campaigns.
Proceedings of the 5th International Conference on Behavioral, 2018

Research Performance Reporting is Fallacious.
Proceedings of the 5th International Conference on Behavioral, 2018

Semi-Supervised Soft K-Means Clustering of Life Insurance Questionnaire Responses.
Proceedings of the 5th International Conference on Behavioral, 2018

Customer Churn Prediction in Superannuation: A Sequential Pattern Mining Approach.
Proceedings of the Databases Theory and Applications, 2018

Automated Underwriting in Life Insurance: Predictions and Optimisation.
Proceedings of the Databases Theory and Applications, 2018

2017
Improving the Quality of Recommendations for Users and Items in the Tail of Distribution.
ACM Trans. Inf. Syst., 2017

On Deep Learning for Trust-Aware Recommendations in Social Networks.
IEEE Trans. Neural Networks Learn. Syst., 2017

An efficient Wikipedia semantic matching approach to text document classification.
Inf. Sci., 2017

A topic modeling based approach to novel document automatic summarization.
Expert Syst. Appl., 2017

Knowledge or Gaming?: Cognitive Modelling Based on Multiple-Attempt Response.
Proceedings of the 26th International Conference on World Wide Web Companion, 2017

An Enhanced Convolutional Neural Network Model for Answer Selection.
Proceedings of the 26th International Conference on World Wide Web Companion, 2017

Exploiting Geographical Location for Team Formation in Social Coding Sites.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2017

What comes first the Co-authorship Network or the Citation?
Proceedings of the 4th Multidisciplinary International Social Networks Conference, 2017

Collaborative Filtering via Different Preference Structures.
Proceedings of the Knowledge Science, Engineering and Management, 2017

Structure embedding for knowledge base completion and analytics.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Music recommendation via heterogeneous information graph embedding.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Diversifying Personalized Recommendation with User-session Context.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Co-training an Improved Recurrent Neural Network with Probability Statistic Models for Named Entity Recognition.
Proceedings of the Database Systems for Advanced Applications, 2017

Latent factor analysis for low-dimensional implicit preference prediction.
Proceedings of the 2017 International Conference on Behavioral, 2017

The volatility of Bitcoin returns and its correlation to financial markets.
Proceedings of the 2017 International Conference on Behavioral, 2017

Towards simplified insurance application via sparse questionnaire optimization.
Proceedings of the 2017 International Conference on Behavioral, 2017

Combining heterogeneous features for time series prediction.
Proceedings of the 2017 International Conference on Behavioral, 2017

2016
Learning Informative Priors from Heterogeneous Domains to Improve Recommendation in Cold-Start User Domains.
ACM Trans. Inf. Syst., 2016

Private Cell Retrieval From Data Warehouses.
IEEE Trans. Inf. Forensics Secur., 2016

Social media analytics: unveiling the value, impact and implications of social media analytics for the management and use of online information.
Online Inf. Rev., 2016

Two-level matrix factorization for recommender systems.
Neural Comput. Appl., 2016

A weighted adaptation method on learning user preference profile.
Knowl. Based Syst., 2016

Recommendation using DMF-based fine tuning method.
J. Intell. Inf. Syst., 2016

Protecting private geosocial networks against practical hybrid attacks with heterogeneous information.
Neurocomputing, 2016

Point-of-Interest Recommendations via a Supervised Random Walk Algorithm.
IEEE Intell. Syst., 2016

Improving Music Recommendation Using Distributed Representation.
Proceedings of the 25th International Conference on World Wide Web, 2016

Predicting Replacement of Smartphones with Mobile App Usage.
Proceedings of the Web Information Systems Engineering - WISE 2016, 2016

GEMRec: A Graph-Based Emotion-Aware Music Recommendation Approach.
Proceedings of the Web Information Systems Engineering - WISE 2016, 2016

Learning Music Embedding with Metadata for Context Aware Recommendation.
Proceedings of the 2016 ACM on International Conference on Multimedia Retrieval, 2016

CoSoLoRec: Joint Factor Model with Content, Social, Location for Heterogeneous Point-of-Interest Recommendation.
Proceedings of the Knowledge Science, Engineering and Management, 2016

An Approach for Automatically Generating R2RML-Based Direct Mapping from Relational Databases.
Proceedings of the Social Computing, 2016

Applying Visual Analytics on Traditional Data Mining Process: Quick Prototype, Simple Expertise Transformation, and Better Interpretation.
Proceedings of the 4th International Conference on Enterprise Systems, 2016

Modeling User Mobility via User Psychological and Geographical Behaviors Towards Point of-Interest Recommendation.
Proceedings of the Database Systems for Advanced Applications, 2016

Applying client churn prediction modeling on home-based care services industry.
Proceedings of the 2016 International Conference on Behavioral, 2016

Coupled behavioral analysis for user preference-based email spamming.
Proceedings of the 2016 International Conference on Behavioral, 2016

Deployment of churn prediction model in financial services industry.
Proceedings of the 2016 International Conference on Behavioral, 2016

Classifying sybil in MSNs using C4.5.
Proceedings of the 2016 International Conference on Behavioral, 2016

2015
Guest Editorial: Advanced Technologies and Services for Multimedia Big Data Processing.
Multim. Tools Appl., 2015

Improving contextual advertising matching by using Wikipedia thesaurus knowledge.
Knowl. Inf. Syst., 2015

KIPTC: a kernel information propagation tag clustering algorithm.
J. Intell. Inf. Syst., 2015

Constructing plausible innocuous pseudo queries to protect user query intention.
Inf. Sci., 2015

Social networking meets recommender systems: survey.
Int. J. Soc. Netw. Min., 2015

Learning recency based comparative choice towards point-of-interest recommendation.
Expert Syst. Appl., 2015

Exploring user emotion in microblogs for music recommendation.
Expert Syst. Appl., 2015

Coupling Analysis Between Twitter and Call Centre.
CoRR, 2015

CSAL: Self-adaptive Labeling based Clustering Integrating Supervised Learning on Unlabeled Data.
CoRR, 2015

Semantic SPARQL Query in a Relational Database Based on Ontology Construction.
Proceedings of the 11th International Conference on Semantics, Knowledge and Grids, 2015

Coupled Matrix Factorization Within Non-IID Context.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2015

Coupling Multiple Views of Relations for Recommendation.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2015

Hashtag Biased Ranking for Keyword Extraction from Microblog Posts.
Proceedings of the Knowledge Science, Engineering and Management, 2015

Intelligent Sybil Attack Detection on Abnormal Connectivity Behavior in Mobile Social Networks.
Proceedings of the Knowledge Management in Organizations - 10th International Conference, 2015

OLAP-enabled web search of complex objects.
Proceedings of the 17th International Conference on Information Integration and Web-based Applications & Services, 2015

Learning User Preferences across Multiple Aspects for Merchant Recommendation.
Proceedings of the 2015 IEEE International Conference on Data Mining, 2015

MARS: A multi-aspect Recommender system for Point-of-Interest.
Proceedings of the 31st IEEE International Conference on Data Engineering, 2015

Cloud-Based OLAP over Big Data: Application Scenarios and Performance Analysis.
Proceedings of the 15th IEEE/ACM International Symposium on Cluster, 2015

Learning to rank domain experts in microblogging by combining text and non-text features.
Proceedings of the 2015 International Conference on Behavioral, 2015

An analysis of new visitors' website behaviour before & after TV advertising.
Proceedings of the 2015 International Conference on Behavioral, 2015

An Approach for Mapping Relational Database into Ontology.
Proceedings of the 12th Web Information System and Application Conference, 2015

2014
Models for Community Dynamics.
Encyclopedia of Social Network Analysis and Mining, 2014

Exploration on efficient similar sentences extraction.
World Wide Web, 2014

Multi-label learning based on iterative label propagation over graph.
Pattern Recognit. Lett., 2014

Expanding user's query with tag-neighbors for effective medical information retrieval.
Multim. Tools Appl., 2014

Social cyber systems - Challenges, opportunities, and beyond.
J. Syst. Softw., 2014

Online IS Education for the 21st Century.
J. Inf. Syst. Educ., 2014

Behavior Informatics: A New Perspective.
IEEE Intell. Syst., 2014

Social network-based service recommendation with trust enhancement.
Expert Syst. Appl., 2014

CMF: Coupled Matrix Factorization for Recommender Systems.
CoRR, 2014

Special Issue on Social Computing and its Applications.
Comput. J., 2014

Coupled Item-Based Matrix Factorization.
Proceedings of the Web Information Systems Engineering - WISE 2014, 2014

A Novel Heuristic Scheme for Modeling and Managing Time Bound Constraints in Data-Intensive Grid and Cloud Infrastructures.
Proceedings of the On the Move to Meaningful Internet Systems: OTM 2014 Workshops, 2014

Mining user tasks from print logs.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Heterogeneous Metric Learning with Content-Based Regularization for Software Artifact Retrieval.
Proceedings of the 2014 IEEE International Conference on Data Mining, 2014

Bayesian Heteroskedastic Choice Modeling on Non-identically Distributed Linkages.
Proceedings of the 2014 IEEE International Conference on Data Mining, 2014

Towards a Framework for Supporting Web Search of Complex Objects via Multidimensional Paradigms.
Proceedings of the 2014 14th International Conference on Computational Science and Its Applications, Guimaraes, Portugal, June 30, 2014

A confidence-based entity resolution approach with incomplete information.
Proceedings of the International Conference on Data Science and Advanced Analytics, 2014

The Application of Cartesian-Join of Bloom Filters to Supporting Membership Query of Multidimensional Data.
Proceedings of the 2014 IEEE International Congress on Big Data, Anchorage, AK, USA, June 27, 2014

A backbone extraction method with Local Search for complex weighted networks.
Proceedings of the 2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2014

Identifying Domain-Dependent Influential Microblog Users: A Post-Feature Based Approach.
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

Deep Modeling of Group Preferences for Group-Based Recommendation.
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

2013
Medical Information Retrieval Enhanced with User's Query Expanded with Tag-Neighbors.
Proceedings of the Handbook of Medical and Healthcare Technologies, 2013

Guest editorial: social networks and social Web mining.
World Wide Web, 2013

An efficient approach to suggesting topically related web queries using hidden topic model.
World Wide Web, 2013

Position-wise contextual advertising: Placing relevant ads at appropriate positions of a web page.
Neurocomputing, 2013

Personalized recommendation via cross-domain triadic factorization.
Proceedings of the 22nd International World Wide Web Conference, 2013

Community Detection in Multi-relational Social Networks.
Proceedings of the Web Information Systems Engineering - WISE 2013, 2013

CGMF: Coupled Group-Based Matrix Factorization for Recommender System.
Proceedings of the Web Information Systems Engineering - WISE 2013, 2013

A New Indexing Technique for Supporting By-attribute Membership Query of Multidimensional Data.
Proceedings of the Web-Age Information Management, 2013

Private data warehouse queries.
Proceedings of the 18th ACM Symposium on Access Control Models and Technologies, 2013

Suggestions for Fresh Search Queries by Mining Mircoblog Topics.
Proceedings of the Behavior and Social Computing, 2013

OLAP*: Effectively and Efficiently Supporting Parallel OLAP over Big Data.
Proceedings of the Model and Data Engineering - Third International Conference, 2013

Cross-Domain Collaborative Filtering via Bilinear Multilevel Analysis.
Proceedings of the IJCAI 2013, 2013

Leveraging Supervised Label Dependency Propagation for Multi-label Learning.
Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013

Who Will Follow Your Shop? Exploiting Multiple Information Sources in Finding Followers.
Proceedings of the Database Systems for Advanced Applications, 2013

Leveraging Visual Features and Hierarchical Dependencies for Conference Information Extraction.
Proceedings of the Web Technologies and Applications - 15th Asia-Pacific Web Conference, 2013

A Spectral Clustering Algorithm Based on Hierarchical Method.
Proceedings of the Agents and Data Mining Interaction - 9th International Workshop, 2013

Mining Frequent Patterns in Print Logs with Semantically Alternative Labels.
Proceedings of the Advanced Data Mining and Applications - 9th International Conference, 2013

2012
Executing SQL queries over encrypted character strings in the Database-As-Service model.
Knowl. Based Syst., 2012

GMQL: A graphical multimedia query language.
Knowl. Based Syst., 2012

A feature-free search query classification approach using semantic distance.
Expert Syst. Appl., 2012

An Improved Contextual Advertising Matching Approach based on Wikipedia Knowledge.
Comput. J., 2012

Preemptive Hadoop Jobs Scheduling under a Deadline.
Proceedings of the Eighth International Conference on Semantics, Knowledge and Grids, 2012

Learning Tree Structure of Label Dependency for Multi-label Learning.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2012

An Integrated Pruning Criterion for Ensemble Learning Based on Classification Accuracy and Diversity.
Proceedings of the 7th International Conference on Knowledge Management in Organizations: Service and Cloud Computing, 2012

Latent Informative Links Detection.
Proceedings of the Advances in Knowledge-Based and Intelligent Information and Engineering Systems, 2012

A projective clustering algorithm based on significant local dense areas.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

On Smart and Accurate Contextual Advertising.
Proceedings of the Database Systems for Advanced Applications, 2012

Finding Related Micro-blogs Based on WordNet.
Proceedings of the Database Systems for Advanced Applications, 2012

Academic Recommendation on Graph with Dynamic Transfer Chain.
Proceedings of the 2012 Second International Conference on Cloud and Green Computing, 2012

Book Recommendation Based on Joint Multi-relational Model.
Proceedings of the 2012 Second International Conference on Cloud and Green Computing, 2012

Group Division for Recommendation in Tag-Based Systems.
Proceedings of the 2012 Second International Conference on Cloud and Green Computing, 2012

KNN-Based Clustering for Improving Social Recommender Systems.
Proceedings of the Agents and Data Mining Interaction - 8th International Workshop, 2012

A MapReduce-Based Parallel Clustering Algorithm for Large Protein-Protein Interaction Networks.
Proceedings of the Advanced Data Mining and Applications, 8th International Conference, 2012

Recommending Related Microblogs: A Comparison Between Topic and WordNet based Approaches.
Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012

2011
Modeling user hidden navigational behavior for Web recommendation.
Web Intell. Agent Syst., 2011

Random walk based rank aggregation to improving web search.
Knowl. Based Syst., 2011

HC_AB: A new heuristic clustering algorithm based on Approximate Backbone.
Inf. Process. Lett., 2011

TOAST: A Topic-Oriented Tag-Based Recommender System.
Proceedings of the Web Information System Engineering - WISE 2011, 2011

A Feature-Free Flexible Approach to Topical Classification of Web Queries.
Proceedings of the Seventh International Conference on Semantics Knowledge and Grid (SKG 2011), 2011

On Kernel Information Propagation for Tag Clustering in Social Annotation Systems.
Proceedings of the Knowlege-Based and Intelligent Information and Engineering Systems, 2011

A Local Information Passing Clustering Algorithm for Tagging Systems.
Proceedings of the Database Systems for Adanced Applications, 2011

Incorporating Sentiment Analysis for Improved Tag-Based Recommendation.
Proceedings of the IEEE Ninth International Conference on Dependable, 2011

Leveraging Wikipedia concept and category information to enhance contextual advertising.
Proceedings of the 20th ACM Conference on Information and Knowledge Management, 2011

APPECT: An Approximate Backbone-Based Clustering Algorithm for Tags.
Proceedings of the Advanced Data Mining and Applications - 7th International Conference, 2011

SemRec: A Semantic Enhancement Framework for Tag Based Recommendation.
Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011

2010
A robust iterative refinement clustering algorithm with smoothing search space.
Knowl. Based Syst., 2010

Co-clustering for Weblogs in Semantic Space.
Proceedings of the Web Information Systems Engineering - WISE 2010, 2010

A User Group Clustering Approach in Tagging Systems.
Proceedings of the LWA 2010, 2010

Co-clustering Analysis of Weblogs Using Bipartite Spectral Projection Approach.
Proceedings of the Knowledge-Based and Intelligent Information and Engineering Systems, 2010

SNSMW 2010 Workshop Organizers' Message.
Proceedings of the Database Systems for Advanced Applications, 2010

A framework of data integration, knowledge management and user behaviour modelling in healthcare applications of diabetes.
Proceedings of the Database Technologies 2010, 2010

2009
Singular Value Decomposition.
Proceedings of the Encyclopedia of Database Systems, 2009

Toward breast cancer survivability prediction models through improving training space.
Expert Syst. Appl., 2009

On web communities mining and recommendation.
Concurr. Comput. Pract. Exp., 2009

Enhancing Web Search by Aggregating Results of Related Web Queries.
Proceedings of the Web Information Systems Engineering, 2009

Web Co-clustering of Usage Network Using Tensor Decomposition.
Proceedings of the 2009 IEEE/WIC/ACM International Conference on Web Intelligence and International Conference on Intelligent Agent Technology, 2009

2008
Using Web Clustering for Web Communities Mining and Analysis.
Proceedings of the 2008 IEEE / WIC / ACM International Conference on Web Intelligence, 2008

AdaBoost algorithm with random forests for predicting breast cancer survivability.
Proceedings of the International Joint Conference on Neural Networks, 2008

Modelling User Behaviour for Web Recommendation Using LDA Model.
Proceedings of the 2008 IEEE/WIC/ACM International Conference on Web Intelligence and International Conference on Intelligent Agent Technology, 2008

Support Vector Machine for Outlier Detection in Breast Cancer Survivability Prediction.
Proceedings of the Advanced Web and NetworkTechnologies, and Applications, 2008

2007
On Web Communities Mining and Analysis.
Proceedings of the Third International Conference on Semantics, 2007

2006
Tumor tissue identification based on gene expression data using DWT feature extraction and PNN classifier.
Neurocomputing, 2006

Mining Gait Pattern for Clinical Locomotion Diagnosis Based on Clustering Techniques.
Proceedings of the Advanced Data Mining and Applications, Second International Conference, 2006

Discovering task-oriented usage pattern for web recommendation.
Proceedings of the Database Technologies 2006, 2006

2005
A Web Recommendation Technique Based on Probabilistic Latent Semantic Analysis.
Proceedings of the Web Information Systems Engineering, 2005

Using Probabilistic Latent Semantic Analysis for Web Page Grouping.
Proceedings of the 15th International Workshop on Research Issues in Data Engineering (RIDE-SDMA 2005), 2005

A DNA Based Evolutionary Algorithm for the Minimal Set Cover Problem.
Proceedings of the Advances in Intelligent Computing, 2005

Towards User Profiling for Web Recommendation.
Proceedings of the AI 2005: Advances in Artificial Intelligence, 2005

A Latent Usage Approach for Clustering Web Transaction and Building User Profile.
Proceedings of the Advanced Data Mining and Applications, First International Conference, 2005

Discovering User Access Pattern Based on Probabilistic Latent Factor Model.
Proceedings of the Database Technologies 2005, 2005

2004
DWT based feature extraction of gene expression data for tissue classification.
Proceedings of the IASTED International Conference on Neural Networks and Computational Intelligence, 2004


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