Qi Yu

Affiliations:
  • Rochester Institute of Technology, College of Computing and Information Sciences, Henrietta, NY, USA
  • Virginia Tech, Department of Computer Science, Blacksburg, VA, USA (PhD 2008)


According to our database1, Qi Yu authored at least 121 papers between 2004 and 2021.

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Bibliography

2021
Deep Reinforced Attention Regression for Partial Sketch Based Image Retrieval.
CoRR, 2021

Uncertainty-Aware Multiple Instance Learning from Large-Scale Long Time Series Data.
CoRR, 2021

DRIVE: Deep Reinforced Accident Anticipation with Visual Explanation.
CoRR, 2021

Evidential Deep Learning for Open Set Action Recognition.
CoRR, 2021

A survey of immersive technologies and applications for industrial product development.
Comput. Graph., 2021

R-CASS: Using Algorithm Selection for Self-Adaptive Service Oriented Systems.
Proceedings of the 2021 IEEE International Conference on Web Services, 2021

Active Learning with Maximum Margin Sparse Gaussian Processes.
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

Distributionally Robust Optimization for Deep Kernel Multiple Instance Learning.
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

A Continual Learning Framework for Uncertainty-Aware Interactive Image Segmentation.
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.
BMC Medical Informatics Decis. Mak., 2020

Integrating reinforcement learning and skyline computing for adaptive service composition.
Inf. Sci., 2020

Integrating recurrent neural networks and reinforcement learning for dynamic service composition.
Future Gener. Comput. Syst., 2020

A Bayesian learning model for design-phase service mashup popularity prediction.
Expert Syst. Appl., 2020

Multi-Clusters Adaptive Brain Storm Optimization Algorithm for QoS-Aware Service Composition.
IEEE Access, 2020

Analytics Prevalent Undergraduate IT Program.
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.
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.
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.
Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

Object-Aware Centroid Voting for Monocular 3D Object Detection.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

Experiential learning in computing accessibility education.
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.
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.
IEEE Trans. Serv. Comput., 2019

Integrating Multi-level Tag Recommendation with External Knowledge Bases for Automatic Question Answering.
ACM Trans. Internet Techn., 2019

Personalized service selection using Conditional Preference Networks.
Knowl. Based Syst., 2019

Adaptive and large-scale service composition based on deep reinforcement learning.
Knowl. Based Syst., 2019

A motifs-based Maximum Entropy Markov Model for realtime reliability prediction in System of Systems.
J. Syst. Softw., 2019

A parallel refined probabilistic approach for QoS-aware service composition.
Future Gener. Comput. Syst., 2019

GNE: a deep learning framework for gene network inference by aggregating biological information.
BMC Syst. Biol., 2019

Complementing Course Contents Between IT/CS: A Case Study on Database Courses.
Proceedings of the 20th Annual SIG Conference on Information Technology Education, 2019

Integrating Bayesian and Discriminative Sparse Kernel Machines for Multi-class Active Learning.
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.
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.
Proceedings of the 36th International Conference on Machine Learning, 2019

Why is Developing Machine Learning Applications Challenging? A Study on Stack Overflow Posts.
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.
IEEE Trans. Serv. Comput., 2018

Integrating modified cuckoo algorithm and creditability evaluation for QoS-aware service composition.
Knowl. Based Syst., 2018

Online reliability time series prediction via convolutional neural network and long short term memory for service-oriented systems.
Knowl. Based Syst., 2018

A proactive approach based on online reliability prediction for adaptation of service-oriented systems.
J. Parallel Distributed Comput., 2018

Incorporating both qualitative and quantitative preferences for service recommendation.
J. Parallel Distributed Comput., 2018

Tag-aware dynamic music recommendation.
Expert Syst. Appl., 2018

Log sequence clustering for workflow mining in multi-workflow systems.
Data Knowl. Eng., 2018

IT Curriculum: Coping with Technology Trends & Industry Demands.
Proceedings of the 19th Annual SIG Conference on Information Technology Education, 2018

From Novice to Expert Narratives of Dermatological Disease.
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.
Proceedings of the IEEE International Conference on Data Mining, 2018

2017
Online Reliability Prediction via Motifs-Based Dynamic Bayesian Networks for Service-Oriented Systems.
IEEE Trans. Software Eng., 2017

Statistical Learning of Domain-Specific Quality-of-Service Features from User Reviews.
ACM Trans. Internet Techn., 2017

Integrating Reinforcement Learning with Multi-Agent Techniques for Adaptive Service Composition.
ACM Trans. Auton. Adapt. Syst., 2017

Combining quantitative constraints with qualitative preferences for effective non-functional properties-aware service composition.
J. Parallel Distributed Comput., 2017

A service computing manifesto: the next 10 years.
Commun. ACM, 2017

Teaching IoT (Internet of Things) Analytics.
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.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Online Reliability Prediction via Long Short Term Memory for Service-Oriented Systems.
Proceedings of the 2017 IEEE International Conference on Web Services, 2017

Correlation-Aware Multi-Label Active Learning for Web Service Tag Recommendation.
Proceedings of the 2017 IEEE International Conference on Web Services, 2017

Estimation of Distribution with Restricted Boltzmann Machine for Adaptive Service Composition.
Proceedings of the 2017 IEEE International Conference on Web Services, 2017

Large-Scale and Adaptive Service Composition Using Deep Reinforcement Learning.
Proceedings of the Service-Oriented Computing - 15th International Conference, 2017

2016
Guest Editorial: Big Data Analytics and the Web.
IEEE Trans. Big Data, 2016

Effective service composition using multi-agent reinforcement learning.
Knowl. Based Syst., 2016

Intelligent medical image grouping through interactive learning.
Int. J. Data Sci. Anal., 2016

Security Requirements Embedded in MS Programs in Information Sciences and Technologies.
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.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2016

An Expert-in-the-loop Paradigm for Learning Medical Image Grouping.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2016

Towards Early Dementia Detection: Fusing Linguistic and Non-Linguistic Clinical Data.
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.
Proceedings of the IEEE International Conference on Web Services, 2016

An LDA-SVM Active Learning Framework for Web Service Classification.
Proceedings of the IEEE International Conference on Web Services, 2016

Integrating POMDP and SARSA( \lambda λ ) for Service Composition with Incomplete Information.
Proceedings of the Service-Oriented Computing - 14th International Conference, 2016

2015
Web-Based Implementation of Data Warehouse Schema Evolution.
Proceedings of the New Trends in Intelligent Information and Database Systems, 2015

Evolutionary Influence Maximization in Viral Marketing.
Proceedings of the Recommendation and Search in Social Networks, 2015

Trust-aware media recommendation in heterogeneous social networks.
World Wide Web, 2015

Guest Editorial: Big Data Analytics and the Web.
IEEE Trans. Big Data, 2015

CloudRec: a framework for personalized service Recommendation in the Cloud.
Knowl. Inf. Syst., 2015

Efficient agglomerative hierarchical clustering.
Expert Syst. Appl., 2015

Pillars of Analytics Applied in MS Degree in Information Sciences and Technologies.
Proceedings of the 16th Annual Conference on Information Technology Education, 2015

Learning Sparse Functional Factors for Large-Scale Service Clustering.
Proceedings of the 2015 IEEE International Conference on Web Services, 2015

Discovering Web Services to Improve Requirements Decomposition.
Proceedings of the 2015 IEEE International Conference on Web Services, 2015

Time-Aware API Popularity Prediction via Heterogeneous Features.
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.
Proceedings of the 2015 IEEE International Conference on Web Services, 2015

Integrating Gaussian Process with Reinforcement Learning for Adaptive Service Composition.
Proceedings of the Service-Oriented Computing - 13th International Conference, 2015

Aggregating Functionality, Use History, and Popularity of APIs to Recommend Mashup Creation.
Proceedings of the Service-Oriented Computing - 13th International Conference, 2015

2014
QoS-aware service selection via collaborative QoS evaluation.
World Wide Web, 2014

Web Service Recommendation via Exploiting Location and QoS Information.
IEEE Trans. Parallel Distributed Syst., 2014

From spoken narratives to domain knowledge: Mining linguistic data for medical image understanding.
Artif. Intell. Medicine, 2014

Design of an analytic centric MS degree in information sciences and technologies.
Proceedings of the 15th Annual Conference on Information Technology Education, 2014

A Novel Online Reliability Prediction Approach for Service-Oriented Systems.
Proceedings of the 2014 IEEE International Conference on Web Services, 2014

Adaptive and Dynamic Service Composition via Multi-agent Reinforcement Learning.
Proceedings of the 2014 IEEE International Conference on Web Services, 2014

Integrating On-policy Reinforcement Learning with Multi-agent Techniques for Adaptive Service Composition.
Proceedings of the Service-Oriented Computing - 12th International Conference, 2014

Fusing Multimodal Human Expert Data to Uncover Hidden Semantics.
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.
Proceedings of the Eye Tracking Research and Applications, 2014

Towards multimodal modeling of physicians' diagnostic confidence and self-awareness using medical narratives.
Proceedings of the COLING 2014, 2014

Towards Automatic Annotation of Clinical Decision-Making Style.
Proceedings of the 8th Linguistic Annotation Workshop, 2014

On Bootstrapping Web Service Recommendation.
Proceedings of the Web Services Foundations, 2014

2013
Efficient Service Skyline Computation for Composite Service Selection.
IEEE Trans. Knowl. Data Eng., 2013

Efficient Large-Scale Service Clustering via Sparse Functional Representation and Accelerated Optimization.
Int. J. Cooperative Inf. Syst., 2013

Selecting skyline services for QoS-aware composition by upgrading MapReduce paradigm.
Clust. Comput., 2013

Trace Norm Regularized Matrix Factorization for Service Recommendation.
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.
Proceedings of the Service-Oriented Computing - 11th International Conference, 2013

WT-LDA: User Tagging Augmented LDA for Web Service Clustering.
Proceedings of the Service-Oriented Computing - 11th International Conference, 2013

Optimal Self-Healing of Service-Oriented Systems with Incomplete Information.
Proceedings of the IEEE International Congress on Big Data, 2013

Maximizing influence of viral marketing via evolutionary user selection.
Proceedings of the Advances in Social Networks Analysis and Mining 2013, 2013

Reliable Service Composition via Automatic QoS Prediction.
Proceedings of the 2013 IEEE International Conference on Services Computing, Santa Clara, CA, USA, June 28, 2013

2012
Multi-attribute optimization in service selection.
World Wide Web, 2012

Integrating User Invocation Data and Extended Semantics for Service Community Discovery.
Int. J. Next Gener. Comput., 2012

Decision Tree Learning from Incomplete QoS to Bootstrap Service Recommendation.
Proceedings of the 2012 IEEE 19th International Conference on Web Services, 2012

Sparse Functional Representation for Large-Scale Service Clustering.
Proceedings of the Service-Oriented Computing - 10th International Conference, 2012

2011
Service-Centric Framework for a Digital Government Application.
IEEE Trans. Serv. Comput., 2011

Web Service management system for bioinformatics research: a case study.
Serv. Oriented Comput. Appl., 2011

Efficient change management in long-term composed services.
Serv. Oriented Comput. Appl., 2011

Efficient range query processing on uncertain data.
Proceedings of the IEEE International Conference on Information Reuse and Integration, 2011

Place Semantics into Context: Service Community Discovery from the WSDL Corpus.
Proceedings of the Service-Oriented Computing - 9th International Conference, 2011

2010
Guest Editorial: Special Section on Query Models and Efficient Selection of Web Services.
IEEE Trans. Serv. Comput., 2010

Computing Service Skyline from Uncertain QoWS.
IEEE Trans. Serv. Comput., 2010

A two-phase framework for quality-aware Web service selection.
Serv. Oriented Comput. Appl., 2010

On Service Community Learning: A Co-clustering Approach.
Proceedings of the IEEE International Conference on Web Services, 2010

Computing Service Skylines over Sets of Services.
Proceedings of the IEEE International Conference on Web Services, 2010

Biclustering and Feature Selection Techniques in Bioinformatics.
Proceedings of the Data Engineering and Management - Second International Conference, 2010

2009
Clustering Analysis of Data with High Dimensionality.
Proceedings of the Encyclopedia of Data Warehousing and Mining, Second Edition (4 Volumes), 2009

A Relational Approach for Ef?cient Service Selection.
Proceedings of the IEEE International Conference on Web Services, 2009

2008
A Foundational Framework for Service Query Optimization.
PhD thesis, 2008

Deploying and managing Web services: issues, solutions, and directions.
VLDB J., 2008

Framework for Web service query algebra and optimization.
ACM Trans. Web, 2008

Effcient Mining of Heterogeneous Star-Structured Data.
Int. J. Softw. Informatics, 2008

2006
Ubiquitous Web Services for E-Government Social Services.
Proceedings of the Semantic Web Meets eGovernment, 2006

2004
WebDG - A Platform for E-Government Web Services.
Proceedings of the Conceptual Modeling for Advanced Application Domains, 2004


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