Shu Wu

Orcid: 0000-0003-2164-3577

According to our database1, Shu Wu authored at least 184 papers between 2007 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Adversarial Contrastive Learning for Evidence-Aware Fake News Detection With Graph Neural Networks.
IEEE Trans. Knowl. Data Eng., November, 2024

Bi-Level Graph Structure Learning for Next POI Recommendation.
IEEE Trans. Knowl. Data Eng., November, 2024

Out-of-Distribution Evidence-Aware Fake News Detection via Dual Adversarial Debiasing.
IEEE Trans. Knowl. Data Eng., November, 2024

DyGCN: Efficient Dynamic Graph Embedding With Graph Convolutional Network.
IEEE Trans. Neural Networks Learn. Syst., April, 2024

Stage-Aware Hierarchical Attentive Relational Network for Diagnosis Prediction.
IEEE Trans. Knowl. Data Eng., April, 2024

Generative Adversarial Registration Network for Multi-Contrast Liver MRI Registration and Added Value to Hepatocellular Carcinoma Segmentation: A Multicentre Study.
IEEE Trans. Emerg. Top. Comput. Intell., April, 2024

A Unified Framework Based on Graph Consensus Term for Multiview Learning.
IEEE Trans. Neural Networks Learn. Syst., March, 2024

Molecular Contrastive Pretraining with Collaborative Featurizations.
J. Chem. Inf. Model., February, 2024

MetaTKG++: Learning evolving factor enhanced meta-knowledge for temporal knowledge graph reasoning.
Pattern Recognit., 2024

Patient-centric medical service matching with fine-grained access control and dynamic user management.
Comput. Stand. Interfaces, 2024

Uncovering Overfitting in Large Language Model Editing.
CoRR, 2024

Beyond Efficiency: Molecular Data Pruning for Enhanced Generalization.
CoRR, 2024

Enhancing Multi-hop Reasoning through Knowledge Erasure in Large Language Model Editing.
CoRR, 2024

Modality-Balanced Learning for Multimedia Recommendation.
CoRR, 2024

Navigating the Noisy Crowd: Finding Key Information for Claim Verification.
CoRR, 2024

Learning Domain-Invariant Features for Out-of-Context News Detection.
CoRR, 2024

Out-of-distribution Rumor Detection via Test-Time Adaptation.
CoRR, 2024

KEBench: A Benchmark on Knowledge Editing for Large Vision-Language Models.
CoRR, 2024

Evolving to the Future: Unseen Event Adaptive Fake News Detection on Social Media.
CoRR, 2024

Enhancing Temporal Knowledge Graph Forecasting with Large Language Models via Chain-of-History Reasoning.
CoRR, 2024

Text-Guided Molecule Generation with Diffusion Language Model.
CoRR, 2024

Can Large Language Models Detect Rumors on Social Media?
CoRR, 2024

CRT-based group rekeying with efficient dynamically aggregate signature for IoMT.
Ad Hoc Networks, 2024

Semantic Evolvement Enhanced Graph Autoencoder for Rumor Detection.
Proceedings of the ACM on Web Conference 2024, 2024

CAMLO: Cross-Attentive Multi-View Network for Long-Term Origin-Destination Flow Prediction.
Proceedings of the 2024 SIAM International Conference on Data Mining, 2024

Modality-Balanced Learning for Multimedia Recommendation.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

DIVE: Subgraph Disagreement for Graph Out-of-Distribution Generalization.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Semantics Fusion of Hierarchical Transformers for Multimodal Named Entity Recognition.
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2024

Interpretable Multimodal Out-of-Context Detection with Soft Logic Regularization.
Proceedings of the IEEE International Conference on Acoustics, 2024

Knowledge Graph Enhanced Large Language Model Editing.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Evolving to the Future: Unseen Event Adaptive Fake News Detection on Social Media.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

Stealthy Attack on Large Language Model based Recommendation.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Chain-of-History Reasoning for Temporal Knowledge Graph Forecasting.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

Logical Closed Loop: Uncovering Object Hallucinations in Large Vision-Language Models.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

EX-FEVER: A Dataset for Multi-hop Explainable Fact Verification.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

Text-Guided Molecule Generation with Diffusion Language Model.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Heterogeneous Graph Reasoning for Fact Checking over Texts and Tables.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Rethinking Graph Masked Autoencoders through Alignment and Uniformity.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
EF-CRT: Group Key Update and Batch Verification Based on Euler Function and Chinese Remainder Theorem for Edge-Fog Computing Networks.
IEEE Syst. J., December, 2023

FedBrain: A robust multi-site brain network analysis framework based on federated learning for brain disease diagnosis.
Neurocomputing, November, 2023

Unsupervised Graph Representation Learning with Cluster-aware Self-training and Refining.
ACM Trans. Intell. Syst. Technol., October, 2023

Latent Structure Mining With Contrastive Modality Fusion for Multimedia Recommendation.
IEEE Trans. Knowl. Data Eng., September, 2023

Design of attribute EWMA type control charts with reliable run length performance.
Commun. Stat. Simul. Comput., September, 2023

RMT-Net: Reject-Aware Multi-Task Network for Modeling Missing-Not-At-Random Data in Financial Credit Scoring.
IEEE Trans. Knowl. Data Eng., July, 2023

Explainable enterprise credit rating using deep feature crossing.
Expert Syst. Appl., June, 2023

Dynamic Graph Neural Networks for Sequential Recommendation.
IEEE Trans. Knowl. Data Eng., May, 2023

Modified one-sided EWMA charts for monitoring time between events.
Commun. Stat. Simul. Comput., March, 2023

A Blockchain-Assisted Lightweight Anonymous Authentication Scheme for Medical Services in Internet of Medical Things.
Wirel. Pers. Commun., 2023

VOSA: Verifiable and Oblivious Secure Aggregation for Privacy-Preserving Federated Learning.
IEEE Trans. Dependable Secur. Comput., 2023

AI in Human-computer Gaming: Techniques, Challenges and Opportunities.
Int. J. Autom. Comput., 2023

EX-FEVER: A Dataset for Multi-hop Explainable Fact Verification.
CoRR, 2023

GSLB: The Graph Structure Learning Benchmark.
CoRR, 2023

Uncovering Neural Scaling Laws in Molecular Representation Learning.
CoRR, 2023

TCGF: A unified tensorized consensus graph framework for multi-view representation learning.
CoRR, 2023

TiBGL: Template-induced Brain Graph Learning for Functional Neuroimaging Analysis.
CoRR, 2023

Deep Stable Multi-Interest Learning for Out-of-distribution Sequential Recommendation.
CoRR, 2023

Uncertainty Calibration for Counterfactual Propensity Estimation in Recommendation.
CoRR, 2023

MetaTKG: Learning Evolutionary Meta-Knowledge for Temporal Knowledge Graph Reasoning.
CoRR, 2023

Learning Long- and Short-term Representations for Temporal Knowledge Graph Reasoning.
Proceedings of the ACM Web Conference 2023, 2023

Mining Stable Preferences: Adaptive Modality Decorrelation for Multimedia Recommendation.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

GSLB: The Graph Structure Learning Benchmark.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Uncovering Neural Scaling Laws in Molecular Representation Learning.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Risk assessment of tanker washing based on AHP-risk matrix method.
Proceedings of the 2023 3rd International Conference on Big Data, 2023

Noise-Robust Semi-Supervised Learning for Distantly Supervised Relation Extraction.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Common Institutional Ownership and Corporate Green Innovation: Supervision or Collusion?-Evidence from Chinese Listed Companies.
Proceedings of the Digitalization and Management Innovation II, 2023

Personalized Interest Sustainability Modeling for Sequential POI Recommendation.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Learning Latent Relations for Temporal Knowledge Graph Reasoning.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Counterfactual Debiasing for Fact Verification.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022
Personalized Graph Neural Networks With Attention Mechanism for Session-Aware Recommendation.
IEEE Trans. Knowl. Data Eng., 2022

Modified One-Sided EWMA Charts without- and with Variable Sampling Intervals for Monitoring a Normal Process.
Symmetry, 2022

Improving Molecular Pretraining with Complementary Featurizations.
CoRR, 2022

Mining Fine-grained Semantics via Graph Neural Networks for Evidence-based Fake News Detection.
CoRR, 2022

Evidence-aware Fake News Detection with Graph Neural Networks.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Bias Mitigation for Evidence-aware Fake News Detection by Causal Intervention.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Structure-Enhanced Heterogeneous Graph Contrastive Learning.
Proceedings of the 2022 SIAM International Conference on Data Mining, 2022

A Survey on Deep Graph Generation: Methods and Applications.
Proceedings of the Learning on Graphs Conference, 2022

GraphDIVE: Graph Classification by Mixture of Diverse Experts.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

The Devil is in the Conflict: Disentangled Information Graph Neural Networks for Fraud Detection.
Proceedings of the IEEE International Conference on Data Mining, 2022

MetaTKG: Learning Evolutionary Meta-Knowledge for Temporal Knowledge Graph Reasoning.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Multi-Cause Learning for Diagnosis Prediction.
Proceedings of the Data Mining and Big Data - 7th International Conference, 2022

Deep Contrastive Multiview Network Embedding.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Second-Order Global Attention Networks for Graph Classification and Regression.
Proceedings of the Artificial Intelligence - Second CAAI International Conference, 2022

2021
Disentangled Item Representation for Recommender Systems.
ACM Trans. Intell. Syst. Technol., 2021

GraphAIR: Graph representation learning with neighborhood aggregation and interaction.
Pattern Recognit., 2021

Latent Structures Mining with Contrastive Modality Fusion for Multimedia Recommendation.
CoRR, 2021

Structure-Aware Hard Negative Mining for Heterogeneous Graph Contrastive Learning.
CoRR, 2021

Deep Contrastive Learning for Multi-View Network Embedding.
CoRR, 2021

Explainable Enterprise Credit Rating via Deep Feature Crossing Network.
CoRR, 2021

GraphFM: Graph Factorization Machines for Feature Interaction Modeling.
CoRR, 2021

Represent Items by Items: An Enhanced Representation of the Target Item for Recommendation.
CoRR, 2021

Dynamic Graph Neural Networks for Sequential Recommendation.
CoRR, 2021

DyGCN: Dynamic Graph Embedding with Graph Convolutional Network.
CoRR, 2021

Graph Classification by Mixture of Diverse Experts.
CoRR, 2021

Deep Graph Structure Learning for Robust Representations: A Survey.
CoRR, 2021

Disentangled Self-Attentive Neural Networks for Click-Through Rate Prediction.
CoRR, 2021

A novel composite forecasting framework by adaptive data preprocessing and optimized nonlinear grey Bernoulli model for new energy vehicles sales.
Commun. Nonlinear Sci. Numer. Simul., 2021

Graph-based Hierarchical Relevance Matching Signals for Ad-hoc Retrieval.
Proceedings of the WWW '21: The Web Conference 2021, 2021

Graph Contrastive Learning with Adaptive Augmentation.
Proceedings of the WWW '21: The Web Conference 2021, 2021

Motif-aware Sequential Recommendation.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

An Empirical Study of Graph Contrastive Learning.
Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

Mining Latent Structures for Multimedia Recommendation.
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Relation-aware Heterogeneous Graph for User Profiling.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Disentangled Self-Attentive Neural Networks for Click-Through Rate Prediction.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Label-informed Graph Structure Learning for Node Classification.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

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

Deep Active Learning for Text Classification with Diverse Interpretations.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Cold-start Sequential Recommendation via Meta Learner.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

A Graph-based Relevance Matching Model for Ad-hoc Retrieval.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
One shot 3D photography.
ACM Trans. Graph., 2020

MV-RNN: A Multi-View Recurrent Neural Network for Sequential Recommendation.
IEEE Trans. Knowl. Data Eng., 2020

Heterogeneous Graph Collaborative Filtering.
CoRR, 2020

Deep Active Graph Representation Learning.
CoRR, 2020

CAGNN: Cluster-Aware Graph Neural Networks for Unsupervised Graph Representation Learning.
CoRR, 2020

Deep Graph Contrastive Representation Learning.
CoRR, 2020

TAGNN: Target Attentive Graph Neural Networks for Session-based Recommendation.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

TFNet: Multi-Semantic Feature Interaction for CTR Prediction.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

DGTN: Dual-channel Graph Transition Network for Session-based Recommendation.
Proceedings of the 20th International Conference on Data Mining Workshops, 2020

Dynamic Graph Collaborative Filtering.
Proceedings of the 20th IEEE International Conference on Data Mining, 2020

Deep Interaction Machine: A Simple but Effective Model for High-order Feature Interactions.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

Every Document Owns Its Structure: Inductive Text Classification via Graph Neural Networks.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Independence Promoted Graph Disentangled Networks.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Multi-view clustering via joint feature selection and partially constrained cluster label learning.
Pattern Recognit., 2019

A hierarchical contextual attention-based network for sequential recommendation.
Neurocomputing, 2019

Learning Preferences and Demands in Visual Recommendation.
CoRR, 2019

Personalizing Graph Neural Networks with Attention Mechanism for Session-based Recommendation.
CoRR, 2019

Learning Vertex Convolutional Networks for Graph Classification.
CoRR, 2019

Semi-supervised Node Classification via Hierarchical Graph Convolutional Networks.
CoRR, 2019

Attention-based convolutional approach for misinformation identification from massive and noisy microblog posts.
Comput. Secur., 2019

Dressing as a Whole: Outfit Compatibility Learning Based on Node-wise Graph Neural Networks.
Proceedings of the World Wide Web Conference, 2019

Distance2Pre: Personalized Spatial Preference for Next Point-of-Interest Prediction.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2019

Hierarchical Graph Convolutional Networks for Semi-supervised Node Classification.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Semi-Supervised Compatibility Learning Across Categories for Clothing Matching.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2019

Towards Accurate and Interpretable Sequential Prediction: A CNN & Attention-Based Feature Extractor.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

Fi-GNN: Modeling Feature Interactions via Graph Neural Networks for CTR Prediction.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

Session-Based Recommendation with Graph Neural Networks.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Multiview Clustering via Unified and View-Specific Embeddings Learning.
IEEE Trans. Neural Networks Learn. Syst., 2018

Mining Significant Microblogs for Misinformation Identification: An Attention-Based Approach.
ACM Trans. Intell. Syst. Technol., 2018

PDiOS: iOS应用程序中私有API的调用检测 (PDiOS: Private API Call Detection in iOS Applications).
计算机科学, 2018

2017
Context-Aware Collaborative Prediction
Springer Briefs in Computer Science, Springer, ISBN: 978-981-10-5372-6, 2017

Multi-Behavioral Sequential Prediction with Recurrent Log-Bilinear Model.
IEEE Trans. Knowl. Data Eng., 2017

Trusted Service Scheduling and Optimization Strategy Design of Service Recommendation.
Secur. Commun. Networks, 2017

Unified subspace learning for incomplete and unlabeled multi-view data.
Pattern Recognit., 2017

Blood Pressure Prediction via Recurrent Models with Contextual Layer.
Proceedings of the 26th International Conference on World Wide Web, 2017

DeepStyle: Learning User Preferences for Visual Recommendation.
Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2017

A Convolutional Approach for Misinformation Identification.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Learning Shared and Specific Factors for Multi-modal Data.
Proceedings of the Computer Vision - Second CCF Chinese Conference, 2017

2016
Contextual Operation for Recommender Systems.
IEEE Trans. Knowl. Data Eng., 2016

Coupled Topic Model for Collaborative Filtering With User-Generated Content.
IEEE Trans. Hum. Mach. Syst., 2016

Personalized ranking with pairwise Factorization Machines.
Neurocomputing, 2016

A Comprehensive Survey on Cross-modal Retrieval.
CoRR, 2016

ICE: Information Credibility Evaluation on Social Media via Representation Learning.
CoRR, 2016

Multi-behavioral Sequential Prediction for Collaborative Filtering.
CoRR, 2016

A Visual and Textual Recurrent Neural Network for Sequential Prediction.
CoRR, 2016

A Dynamic Recurrent Model for Next Basket Recommendation.
Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval, 2016

Context-Aware Sequential Recommendation.
Proceedings of the IEEE 16th International Conference on Data Mining, 2016

Information Credibility Evaluation on Social Media.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

SAPE: A System for Situation-Aware Public Security Evaluation.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

Predicting the Next Location: A Recurrent Model with Spatial and Temporal Contexts.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015
Multi-view clustering via pairwise sparse subspace representation.
Neurocomputing, 2015

Transient Response Improvement of DC-DC Buck Converter by a Slope Adjustable Triangular Wave Generator.
IEICE Trans. Commun., 2015

Non-intrusive sleep pattern recognition with ubiquitous sensing in elderly assistive environment.
Frontiers Comput. Sci., 2015

Adaptive Pairwise Learning for Personalized Ranking with Content and Implicit Feedback.
Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology, 2015

Personalized Semantic Ranking for Collaborative Recommendation.
Proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2015

Partially tagged image clustering.
Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

Incomplete Multi-view Clustering via Subspace Learning.
Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015

A Convolutional Click Prediction Model.
Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015

Collaborative Prediction for Multi-entity Interaction With Hierarchical Representation.
Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015

Social-Relational Topic Model for Social Networks.
Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015

Learning to Hash for Recommendation with Tensor Data.
Proceedings of the Web Technologies and Applications - 17th Asia-PacificWeb Conference, 2015

Multiple Attribute Aware Personalized Ranking.
Proceedings of the Web Technologies and Applications - 17th Asia-PacificWeb Conference, 2015

COT: Contextual Operating Tensor for Context-Aware Recommender Systems.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014
Synthetic Phase II Shewhart-type Attributes Control Charts When Process Parameters are Estimated.
Qual. Reliab. Eng. Int., 2014

Hierarchical feature coding for image classification.
Neurocomputing, 2014

Discriminative Representative Selection via Structure Sparsity.
Proceedings of the 22nd International Conference on Pattern Recognition, 2014

2013
Information-Theoretic Outlier Detection for Large-Scale Categorical Data.
IEEE Trans. Knowl. Data Eng., 2013

2012
Towards non-intrusive sleep pattern recognition in elder assistive environment.
J. Ambient Intell. Humaniz. Comput., 2012

Multi-modal Non-intrusive Sleep Pattern Recognition in Elder Assistive Environment.
Proceedings of the Impact Analysis of Solutions for Chronic Disease Prevention and Management, 2012

Single inductor dual output DC-DC converter design with exclusive control.
Proceedings of the IEEE Asia Pacific Conference on Circuits and Systems, 2012

2011
CDTOM: A Context-driven Task-oriented Middleware for Pervasive Homecare Environment
CoRR, 2011

Rating-based collaborative filtering combined with additional regularization.
Proceedings of the Proceeding of the 34th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2011

Parameter-Free Anomaly Detection for Categorical Data.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2011

2010
Unobtrusive Sleep Posture Detection for Elder-Care in Smart Home.
Proceedings of the Aging Friendly Technology for Health and Independence, 2010

2009
A Regularized Nonlinear Discrimination Approach.
Proceedings of the 2009 Third International Conference on Genetic and Evolutionary Computing, 2009

2007
A New Initialization Method for Clustering Categorical Data.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2007


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