Qi Yu

Heather Moses

Samuel A. Malachowsky

Daniel E. Krutz

ACM Trans. Softw. Eng. Methodol., February, 2024

Reinforced Compressive Neural Architecture Search for Versatile Adversarial Robustness.

[BibT_eX]

[DOI]

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Meta Evidential Transformer for Few-Shot Open-Set Recognition.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Hierarchical Novelty Detection via Fine-Grained Evidence Allocation.

[BibT_eX]

[DOI]

Spandan Pyakurel

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Balancing Feature Similarity and Label Variability for Optimal Size-Aware One-shot Subset Selection.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Optimal Transport of Diverse Unsupervised Tasks for Robust Learning from Noisy Few-Shot Data.

[BibT_eX]

[DOI]

Xiaofan Que

Proceedings of the Computer Vision - ECCV 2024, 2024

Dual-Level Curriculum Meta-Learning for Noisy Few-Shot Learning Tasks.

[BibT_eX]

[DOI]

Xiaofan Que

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Latent Space Energy-based Model for Fine-grained Open Set Recognition.

[BibT_eX]

[DOI]

CoRR, 2023

On Model Explanations with Transferable Neural Pathways.

[BibT_eX]

[DOI]

CoRR, 2023

Actively Testing Your Model While It Learns: Realizing Label-Efficient Learning in Practice.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Distributionally Robust Ensemble of Lottery Tickets Towards Calibrated Sparse Network Training.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Evidential Interactive Learning for Medical Image Captioning.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

Discover-Then-Rank Unlabeled Support Vectors in the Dual Space for Multi-Class Active Learning.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

Deep Temporal Sets with Evidential Reinforced Attentions for Unique Behavioral Pattern Discovery.

[BibT_eX]

[DOI]

Dingrong Wang

Proceedings of the International Conference on Machine Learning, 2023

Learn to Accumulate Evidence from All Training Samples: Theory and Practice.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

Adaptive Robust Evidential Optimization For Open Set Detection from Imbalanced Data.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Knowledge Acquisition for Human-In-The-Loop Image Captioning.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

Sparse Maximum Margin Learning from Multimodal Human Behavioral Patterns.

[BibT_eX]

[DOI]

Zhi Zheng

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

STARS: Spatial-Temporal Active Re-sampling for Label-Efficient Learning from Noisy Annotations.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Evidential Conditional Neural Processes.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Scaling Up Dynamic Graph Representation Learning via Spiking Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Singular value decomposition-based behavior-aware cloud service application programming interfaces recommendation for large-scale software cloud directory platforms.

[BibT_eX]

[DOI]

Concurr. Comput. Pract. Exp., 2022

Hierarchical Bayesian multi-kernel learning for integrated classification and summarization of app reviews.

[BibT_eX]

[DOI]

Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2022

Balancing Bias and Variance for Active Weakly Supervised Learning.

[BibT_eX]

[DOI]

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Spiking Graph Convolutional Networks.

[BibT_eX]

[DOI]

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

Online Learning Using Incomplete Execution Data for Self-Adaptive Service-Oriented Systems.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Web Services, 2022

Towards Open Set Video Anomaly Detection.

[BibT_eX]

[DOI]

Yuansheng Zhu

Proceedings of the Computer Vision - ECCV 2022, 2022

Bayesian Nonparametric Submodular Video Partition for Robust Anomaly Detection.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Multidimensional Belief Quantification for Label-Efficient Meta-Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

OpenTAL: Towards Open Set Temporal Action Localization.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Dual-Level Adaptive Information Filtering for Interactive Image Segmentation.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

A Dynamic Meta-Learning Model for Time-Sensitive Cold-Start Recommendations.

[BibT_eX]

[DOI]

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

2021

A survey of immersive technologies and applications for industrial product development.

[BibT_eX]

[DOI]

Comput. Graph., 2021

A Gaussian Process-Bayesian Bernoulli Mixture Model for Multi-Label Active Learning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

R-CASS: Using Algorithm Selection for Self-Adaptive Service Oriented Systems.

[BibT_eX]

[DOI]

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

Deep Reinforced Attention Regression for Partial Sketch Based Image Retrieval.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Data Mining, 2021

MetaEDL: Meta Evidential Learning For Uncertainty-Aware Cold-Start Recommendations.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Data Mining, 2021

Evidential Deep Learning for Open Set Action Recognition.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

DRIVE: Deep Reinforced Accident Anticipation with Visual Explanation.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Uncertainty-Aware Multiple Instance Learning from Large-Scale Long Time Series Data.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

Active Learning with Maximum Margin Sparse Gaussian Processes.

[BibT_eX]

[DOI]

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

Distributionally Robust Optimization for Deep Kernel Multiple Instance Learning.

[BibT_eX]

[DOI]

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

A Continual Learning Framework for Uncertainty-Aware Interactive Image Segmentation.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Histopathological distinction of non-invasive and invasive bladder cancers using machine learning approaches.

[BibT_eX]

[DOI]

BMC Medical Informatics Decis. Mak., 2020

Integrating reinforcement learning and skyline computing for adaptive service composition.

[BibT_eX]

[DOI]

Inf. Sci., 2020

Integrating recurrent neural networks and reinforcement learning for dynamic service composition.

[BibT_eX]

[DOI]

Future Gener. Comput. Syst., 2020

A Bayesian learning model for design-phase service mashup popularity prediction.

[BibT_eX]

[DOI]

Expert Syst. Appl., 2020

Multi-Clusters Adaptive Brain Storm Optimization Algorithm for QoS-Aware Service Composition.

[BibT_eX]

[DOI]

Shunshun Peng

IEEE Access, 2020

Analytics Prevalent Undergraduate IT Program.

[BibT_eX]

[DOI]

Proceedings of the SIGITE '20: The 21st Annual Conference on Information Technology Education, 2020

Dynamic Fusion of Eye Movement Data and Verbal Narrations in Knowledge-rich Domains.

[BibT_eX]

[DOI]

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

Multifaceted Uncertainty Estimation for Label-Efficient Deep Learning.

[BibT_eX]

[DOI]

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

Uncertainty-based Traffic Accident Anticipation with Spatio-Temporal Relational Learning.

[BibT_eX]

[DOI]

Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

Object-Aware Centroid Voting for Monocular 3D Object Detection.

[BibT_eX]

[DOI]

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

Experiential learning in computing accessibility education.

[BibT_eX]

[DOI]

Saad Khan

Yasmine N. El-Glaly

Samuel A. Malachowsky

Daniel E. Krutz

Proceedings of the ICSE '20: 42nd International Conference on Software Engineering, Companion Volume, Seoul, South Korea, 27 June, 2020

Presenting and evaluating the impact of experiential learning in computing accessibility education.

[BibT_eX]

[DOI]

Yasmine N. El-Glaly

Samuel A. Malachowsky

Daniel E. Krutz

Proceedings of the ICSE-SEET 2020: 42nd International Conference on Software Engineering, Software Engineering Education and Training, Seoul, South Korea, 27 June, 2020

2019

Learning the Evolution Regularities for BigService-Oriented Online Reliability Prediction.

[BibT_eX]

[DOI]

IEEE Trans. Serv. Comput., 2019

Integrating Multi-level Tag Recommendation with External Knowledge Bases for Automatic Question Answering.

[BibT_eX]

[DOI]

ACM Trans. Internet Techn., 2019

Personalized service selection using Conditional Preference Networks.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2019

Adaptive and large-scale service composition based on deep reinforcement learning.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2019

A motifs-based Maximum Entropy Markov Model for realtime reliability prediction in System of Systems.

[BibT_eX]

[DOI]

J. Syst. Softw., 2019

A parallel refined probabilistic approach for QoS-aware service composition.

[BibT_eX]

[DOI]

Shunshun Peng

Future Gener. Comput. Syst., 2019

GNE: a deep learning framework for gene network inference by aggregating biological information.

[BibT_eX]

[DOI]

BMC Syst. Biol., 2019

Complementing Course Contents Between IT/CS: A Case Study on Database Courses.

[BibT_eX]

[DOI]

Proceedings of the 20th Annual SIG Conference on Information Technology Education, 2019

Integrating Bayesian and Discriminative Sparse Kernel Machines for Multi-class Active Learning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Improving the Decision-Making Process of Self-Adaptive Systems by Accounting for Tactic Volatility.

[BibT_eX]

[DOI]

Proceedings of the 34th IEEE/ACM International Conference on Automated Software Engineering, 2019

Fast Direct Search in an Optimally Compressed Continuous Target Space for Efficient Multi-Label Active Learning.

[BibT_eX]

[DOI]

Proceedings of the 36th International Conference on Machine Learning, 2019

Why is Developing Machine Learning Applications Challenging? A Study on Stack Overflow Posts.

[BibT_eX]

[DOI]

Moayad Alshangiti

Pradeep K. Murukannaiah

Proceedings of the 2019 ACM/IEEE International Symposium on Empirical Software Engineering and Measurement, 2019

2018

Effective BigData-Space Service Selection over Trust and Heterogeneous QoS Preferences.

[BibT_eX]

[DOI]

IEEE Trans. Serv. Comput., 2018

Integrating modified cuckoo algorithm and creditability evaluation for QoS-aware service composition.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2018

Online reliability time series prediction via convolutional neural network and long short term memory for service-oriented systems.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2018

A proactive approach based on online reliability prediction for adaptation of service-oriented systems.

[BibT_eX]

[DOI]

J. Parallel Distributed Comput., 2018

Incorporating both qualitative and quantitative preferences for service recommendation.

[BibT_eX]

[DOI]

J. Parallel Distributed Comput., 2018

Tag-aware dynamic music recommendation.

[BibT_eX]

[DOI]

Expert Syst. Appl., 2018

Log sequence clustering for workflow mining in multi-workflow systems.

[BibT_eX]

[DOI]

Data Knowl. Eng., 2018

IT Curriculum: Coping with Technology Trends & Industry Demands.

[BibT_eX]

[DOI]

Proceedings of the 19th Annual SIG Conference on Information Technology Education, 2018

From Novice to Expert Narratives of Dermatological Disease.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE International Conference on Pervasive Computing and Communications Workshops, 2018

An Efficient Many-Class Active Learning Framework for Knowledge-Rich Domains.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Data Mining, 2018

2017

Online Reliability Prediction via Motifs-Based Dynamic Bayesian Networks for Service-Oriented Systems.

[BibT_eX]

[DOI]

IEEE Trans. Software Eng., 2017

Statistical Learning of Domain-Specific Quality-of-Service Features from User Reviews.

[BibT_eX]

[DOI]

ACM Trans. Internet Techn., 2017

Integrating Reinforcement Learning with Multi-Agent Techniques for Adaptive Service Composition.

[BibT_eX]

[DOI]

ACM Trans. Auton. Adapt. Syst., 2017

Combining quantitative constraints with qualitative preferences for effective non-functional properties-aware service composition.

[BibT_eX]

[DOI]

J. Parallel Distributed Comput., 2017

A service computing manifesto: the next 10 years.

[BibT_eX]

[DOI]

Commun. ACM, 2017

Teaching IoT (Internet of Things) Analytics.

[BibT_eX]

[DOI]

Erik Golen

Proceedings of the 18th Annual Conference on Information Technology Education and the 6th Annual Conference on Research in Information Technology, 2017

Modeling Physicians' Utterances to Explore Diagnostic Decision-making.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Online Reliability Prediction via Long Short Term Memory for Service-Oriented Systems.

[BibT_eX]

[DOI]

Zhengping Yang

Proceedings of the 2017 IEEE International Conference on Web Services, 2017

Correlation-Aware Multi-Label Active Learning for Web Service Tag Recommendation.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE International Conference on Web Services, 2017

Estimation of Distribution with Restricted Boltzmann Machine for Adaptive Service Composition.

[BibT_eX]

[DOI]

Shunshun Peng

Proceedings of the 2017 IEEE International Conference on Web Services, 2017

Large-Scale and Adaptive Service Composition Using Deep Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the Service-Oriented Computing - 15th International Conference, 2017

2016

Guest Editorial: Big Data Analytics and the Web.

[BibT_eX]

[DOI]

Michael Sheng

Athanasios V. Vasilakos

Lina You

IEEE Trans. Big Data, 2016

Effective service composition using multi-agent reinforcement learning.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2016

Intelligent medical image grouping through interactive learning.

[BibT_eX]

[DOI]

Cara Calvelli

Pengcheng Shi

Int. J. Data Sci. Anal., 2016

Security Requirements Embedded in MS Programs in Information Sciences and Technologies.

[BibT_eX]

[DOI]

Proceedings of the 17th Annual Conference on Information Technology Education and the 5th Annual Conference on Research in Information Technology, 2016

Incorporating Heterogeneous Information for Mashup Discovery with Consistent Regularization.

[BibT_eX]

[DOI]

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2016

An Expert-in-the-loop Paradigm for Learning Medical Image Grouping.

[BibT_eX]

[DOI]

Cara Calvelli

Pengcheng Shi

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2016

Towards Early Dementia Detection: Fusing Linguistic and Non-Linguistic Clinical Data.

[BibT_eX]

[DOI]

Joseph Bullard

Rubén A. Proaño

Proceedings of the 3rd Workshop on Computational Linguistics and Clinical Psychology: From Linguistic Signal to Clinical Reality, 2016

Automatic Hierarchical Reinforcement Learning for Efficient Large-Scale Service Composition.

[BibT_eX]

[DOI]

Guicheng Huang

Proceedings of the IEEE International Conference on Web Services, 2016

An LDA-SVM Active Learning Framework for Web Service Classification.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Web Services, 2016

Integrating POMDP and SARSA( \lambda λ ) for Service Composition with Incomplete Information.

[BibT_eX]

[DOI]

Xingzhi Zhang

Proceedings of the Service-Oriented Computing - 14th International Conference, 2016

2015

Web-Based Implementation of Data Warehouse Schema Evolution.

[BibT_eX]

[DOI]

Proceedings of the New Trends in Intelligent Information and Database Systems, 2015

Evolutionary Influence Maximization in Viral Marketing.

[BibT_eX]

[DOI]

Sanket Anil Naik

Proceedings of the Recommendation and Search in Social Networks, 2015

Trust-aware media recommendation in heterogeneous social networks.

[BibT_eX]

[DOI]

World Wide Web, 2015

Guest Editorial: Big Data Analytics and the Web.

[BibT_eX]

[DOI]

Quan Z. Sheng

Athanasios V. Vasilakos

Lina Yao

IEEE Trans. Big Data, 2015

CloudRec: a framework for personalized service Recommendation in the Cloud.

[BibT_eX]

[DOI]

Knowl. Inf. Syst., 2015

Efficient agglomerative hierarchical clustering.

[BibT_eX]

[DOI]

Expert Syst. Appl., 2015

Pillars of Analytics Applied in MS Degree in Information Sciences and Technologies.

[BibT_eX]

[DOI]

Edward P. Holden

Proceedings of the 16th Annual Conference on Information Technology Education, 2015

Learning Sparse Functional Factors for Large-Scale Service Clustering.

[BibT_eX]

[DOI]

Liang Chen

Proceedings of the 2015 IEEE International Conference on Web Services, 2015

Discovering Web Services to Improve Requirements Decomposition.

[BibT_eX]

[DOI]

Suxiang Zhou

Proceedings of the 2015 IEEE International Conference on Web Services, 2015

Time-Aware API Popularity Prediction via Heterogeneous Features.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE International Conference on Web Services, 2015

Extracting, Ranking, and Evaluating Quality Features of Web Services through User Review Sentiment Analysis.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE International Conference on Web Services, 2015

WS-HFS: A Heterogeneous Feature Selection Framework for Web Services Mining.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE International Conference on Web Services, 2015

Integrating Gaussian Process with Reinforcement Learning for Adaptive Service Composition.

[BibT_eX]

[DOI]

Proceedings of the Service-Oriented Computing - 13th International Conference, 2015

Aggregating Functionality, Use History, and Popularity of APIs to Recommend Mashup Creation.

[BibT_eX]

[DOI]

Aditi Jain

Proceedings of the Service-Oriented Computing - 13th International Conference, 2015

2014

QoS-aware service selection via collaborative QoS evaluation.

[BibT_eX]

[DOI]

World Wide Web, 2014

Web Service Recommendation via Exploiting Location and QoS Information.

[BibT_eX]

[DOI]

IEEE Trans. Parallel Distributed Syst., 2014

From spoken narratives to domain knowledge: Mining linguistic data for medical image understanding.

[BibT_eX]

[DOI]

Artif. Intell. Medicine, 2014

Design of an analytic centric MS degree in information sciences and technologies.

[BibT_eX]

[DOI]

Edward P. Holden

Proceedings of the 15th Annual Conference on Information Technology Education, 2014

A Novel Online Reliability Prediction Approach for Service-Oriented Systems.

[BibT_eX]

[DOI]

Proceedings of the 2014 IEEE International Conference on Web Services, 2014

Adaptive and Dynamic Service Composition via Multi-agent Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the 2014 IEEE International Conference on Web Services, 2014

Integrating On-policy Reinforcement Learning with Multi-agent Techniques for Adaptive Service Composition.

[BibT_eX]

[DOI]

Proceedings of the Service-Oriented Computing - 12th International Conference, 2014

Fusing Multimodal Human Expert Data to Uncover Hidden Semantics.

[BibT_eX]

[DOI]

Proceedings of the 7th Workshop on Eye Gaze in Intelligent Human Machine Interaction: Eye-Gaze & Multimodality, 2014

Infusing perceptual expertise and domain knowledge into a human-centered image retrieval system: a prototype application.

[BibT_eX]

[DOI]

Proceedings of the Eye Tracking Research and Applications, 2014

Towards multimodal modeling of physicians' diagnostic confidence and self-awareness using medical narratives.

[BibT_eX]

[DOI]

Joseph Bullard

Pengcheng Shi

Proceedings of the COLING 2014, 2014

Towards Automatic Annotation of Clinical Decision-Making Style.

[BibT_eX]

[DOI]

Limor Hochberg

Proceedings of the 8th Linguistic Annotation Workshop, 2014

On Bootstrapping Web Service Recommendation.

[BibT_eX]

[DOI]

Proceedings of the Web Services Foundations, 2014

2013

Efficient Service Skyline Computation for Composite Service Selection.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2013

Efficient Large-Scale Service Clustering via Sparse Functional Representation and Accelerated Optimization.

[BibT_eX]

[DOI]

Int. J. Cooperative Inf. Syst., 2013

Selecting skyline services for QoS-aware composition by upgrading MapReduce paradigm.

[BibT_eX]

[DOI]

Clust. Comput., 2013

Trace Norm Regularized Matrix Factorization for Service Recommendation.

[BibT_eX]

[DOI]

Zibin Zheng

Proceedings of the 2013 IEEE 20th International Conference on Web Services, Santa Clara, CA, USA, June 28, 2013

Online Reliability Time Series Prediction for Service-Oriented System of Systems.

[BibT_eX]

[DOI]

Proceedings of the Service-Oriented Computing - 11th International Conference, 2013

WT-LDA: User Tagging Augmented LDA for Web Service Clustering.

[BibT_eX]

[DOI]

Proceedings of the Service-Oriented Computing - 11th International Conference, 2013

Optimal Self-Healing of Service-Oriented Systems with Incomplete Information.

[BibT_eX]

[DOI]

Xiaojun Wang

Proceedings of the IEEE International Congress on Big Data, 2013

Maximizing influence of viral marketing via evolutionary user selection.

[BibT_eX]

[DOI]

Sanket Anil Naik

Proceedings of the Advances in Social Networks Analysis and Mining 2013, 2013

Reliable Service Composition via Automatic QoS Prediction.

[BibT_eX]

[DOI]

Haixia Sun

Proceedings of the 2013 IEEE International Conference on Services Computing, Santa Clara, CA, USA, June 28, 2013

2012

Multi-attribute optimization in service selection.

[BibT_eX]

[DOI]

World Wide Web, 2012

Integrating User Invocation Data and Extended Semantics for Service Community Discovery.

[BibT_eX]

[DOI]

Int. J. Next Gener. Comput., 2012

Decision Tree Learning from Incomplete QoS to Bootstrap Service Recommendation.

[BibT_eX]

[DOI]

Proceedings of the 2012 IEEE 19th International Conference on Web Services, 2012

Sparse Functional Representation for Large-Scale Service Clustering.

[BibT_eX]

[DOI]

Proceedings of the Service-Oriented Computing - 10th International Conference, 2012

2011

Service-Centric Framework for a Digital Government Application.

[BibT_eX]

[DOI]

IEEE Trans. Serv. Comput., 2011

Web Service management system for bioinformatics research: a case study.

[BibT_eX]

[DOI]

Serv. Oriented Comput. Appl., 2011

Efficient change management in long-term composed services.

[BibT_eX]

[DOI]

Serv. Oriented Comput. Appl., 2011

Efficient range query processing on uncertain data.

[BibT_eX]

[DOI]

Andrew Knight

Proceedings of the IEEE International Conference on Information Reuse and Integration, 2011

Place Semantics into Context: Service Community Discovery from the WSDL Corpus.

[BibT_eX]

[DOI]

Proceedings of the Service-Oriented Computing - 9th International Conference, 2011

2010

Guest Editorial: Special Section on Query Models and Efficient Selection of Web Services.

[BibT_eX]

[DOI]

IEEE Trans. Serv. Comput., 2010

Computing Service Skyline from Uncertain QoWS.

[BibT_eX]

[DOI]

IEEE Trans. Serv. Comput., 2010

A two-phase framework for quality-aware Web service selection.

[BibT_eX]

[DOI]

Serv. Oriented Comput. Appl., 2010

On Service Community Learning: A Co-clustering Approach.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Web Services, 2010

Computing Service Skylines over Sets of Services.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Web Services, 2010

Biclustering and Feature Selection Techniques in Bioinformatics.

[BibT_eX]

[DOI]

Proceedings of the Data Engineering and Management - Second International Conference, 2010

2009

Clustering Analysis of Data with High Dimensionality.

[BibT_eX]

[DOI]

Proceedings of the Encyclopedia of Data Warehousing and Mining, Second Edition (4 Volumes), 2009

A Relational Approach for Ef?cient Service Selection.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Web Services, 2009

2008

A Foundational Framework for Service Query Optimization.

[BibT_eX]

[DOI]

PhD thesis, 2008

Deploying and managing Web services: issues, solutions, and directions.

[BibT_eX]

[DOI]

VLDB J., 2008

Framework for Web service query algebra and optimization.

[BibT_eX]

[DOI]

ACM Trans. Web, 2008

Effcient Mining of Heterogeneous Star-Structured Data.

[BibT_eX]

[DOI]