Irwin King

According to our database1, Irwin King authored at least 329 papers between 1988 and 2020.

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Bibliography

2020
Effective Data-Aware Covariance Estimator From Compressed Data.
IEEE Trans. Neural Networks Learn. Syst., 2020

Do Users Care about Ad's Performance Costs? Exploring the Effects of the Performance Costs of In-App Ads on User Experience.
CoRR, 2020

Making Online Sketching Hashing Even Faster.
CoRR, 2020

Learning 3D Face Reconstruction with a Pose Guidance Network.
CoRR, 2020

An Empirical Study of In-App Advertising Issues Based on Large Scale App Review Analysis.
CoRR, 2020

Emerging App Issue Identification via Online Joint Sentiment-Topic Tracing.
CoRR, 2020

Shifu2: A Network Representation Learning Based Model for Advisor-advisee Relationship Mining.
CoRR, 2020

Unsupervised Text Generation by Learning from Search.
CoRR, 2020

EMT: Explicit Memory Tracker with Coarse-to-Fine Reasoning for Conversational Machine Reading.
CoRR, 2020

Discrete Variational Attention Models for Language Generation.
CoRR, 2020

What Changed Your Mind: The Roles of Dynamic Topics and Discourse in Argumentation Process.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

MAGNN: Metapath Aggregated Graph Neural Network for Heterogeneous Graph Embedding.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

A Unified Dual-view Model for Review Summarization and Sentiment Classification with Inconsistency Loss.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Efficient Community Search over Large Directed Graph: An Augmented Index-based Approach.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

A Survey of Graph Curvature and Embedding in Non-Euclidean Spaces.
Proceedings of the Neural Information Processing - 27th International Conference, 2020

AutoGraph: Automated Graph Neural Network.
Proceedings of the Neural Information Processing - 27th International Conference, 2020

A Literature Review of Recent Graph Embedding Techniques for Biomedical Data.
Proceedings of the Neural Information Processing - 27th International Conference, 2020

Cross-Media Keyphrase Prediction: A Unified Framework with Multi-Modality Multi-Head Attention and Image Wordings.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

VD-BERT: A Unified Vision and Dialog Transformer with BERT.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Data Rejuvenation: Exploiting Inactive Training Examples for Neural Machine Translation.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Exploiting Unsupervised Data for Emotion Recognition in Conversations.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing: Findings, 2020

Discern: Discourse-Aware Entailment Reasoning Network for Conversational Machine Reading.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Dialogue Generation on Infrequent Sentence Functions via Structured Meta-Learning.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing: Findings, 2020

Towards Global Explanations of Convolutional Neural Networks With Concept Attribution.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Boosting the Transferability of Adversarial Samples via Attention.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Flow2Stereo: Effective Self-Supervised Learning of Optical Flow and Stereo Matching.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Photon: A Robust Cross-Domain Text-to-SQL System.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics: System Demonstrations, 2020

Explicit Memory Tracker with Coarse-to-Fine Reasoning for Conversational Machine Reading.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Exclusive Hierarchical Decoding for Deep Keyphrase Generation.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Real-Time Emotion Recognition via Attention Gated Hierarchical Memory Network.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Few Shot Network Compression via Cross Distillation.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
What You Say and How You Say it: Joint Modeling of Topics and Discourse in Microblog Conversations.
Trans. Assoc. Comput. Linguistics, 2019

Improving Word Representations: A Sub-sampled Unigram Distribution for Negative Sampling.
CoRR, 2019

PT-CoDE: Pre-trained Context-Dependent Encoder for Utterance-level Emotion Recognition.
CoRR, 2019

Online Micro-Modules Library Production for Fundamental Programming Courses with Active Learning.
Proceedings of the IEEE International Conference on Engineering, Technology and Education, 2019

Microblog Hashtag Generation via Encoding Conversation Contexts.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

HiGRU: Hierarchical Gated Recurrent Units for Utterance-Level Emotion Recognition.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

An Integrated Approach for Keyphrase Generation via Exploring the Power of Retrieval and Extraction.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Automating App Review Response Generation.
Proceedings of the 34th IEEE/ACM International Conference on Automated Software Engineering, 2019

Architecture Search for Image Inpainting.
Proceedings of the Advances in Neural Networks - ISNN 2019, 2019

STAR-GCN: Stacked and Reconstructed Graph Convolutional Networks for Recommender Systems.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Parallel Wasserstein Generative Adversarial Nets with Multiple Discriminators.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Difficulty Controllable Generation of Reading Comprehension Questions.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Emerging app issue identification from user feedback: experience on WeChat.
Proceedings of the 41st International Conference on Software Engineering: Software Engineering in Practice, 2019

Improving Question Generation With to the Point Context.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Deep Validation: Toward Detecting Real-World Corner Cases for Deep Neural Networks.
Proceedings of the 49th Annual IEEE/IFIP International Conference on Dependable Systems and Networks, 2019

SelFlow: Self-Supervised Learning of Optical Flow.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

BigScholar 2019: The 6th Workshop on Big Scholarly Data.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

Topic-Aware Neural Keyphrase Generation for Social Media Language.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Interconnected Question Generation with Coreference Alignment and Conversation Flow Modeling.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Neural Keyphrase Generation via Reinforcement Learning with Adaptive Rewards.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

DDFlow: Learning Optical Flow with Unlabeled Data Distillation.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Generating Distractors for Reading Comprehension Questions from Real Examinations.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Title-Guided Encoding for Keyphrase Generation.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Point-of-Interest Recommendation in Location-Based Social Networks
Springer Briefs in Computer Science, Springer, ISBN: 978-981-13-1348-6, 2018

Social Recommendation in Dynamic Networks.
Proceedings of the Encyclopedia of Social Network Analysis and Mining, 2nd Edition, 2018

Online Nonlinear AUC Maximization for Imbalanced Data Sets.
IEEE Trans. Neural Networks Learn. Syst., 2018

Overlapping community detection with preference and locality information: a non-negative matrix factorization approach.
Soc. Netw. Anal. Min., 2018

Aggregated Temporal Tensor Factorization Model for Point-of-Interest Recommendation.
Neural Process. Lett., 2018

Difficulty Controllable Question Generation for Reading Comprehension.
CoRR, 2018

DeepObfuscation: Securing the Structure of Convolutional Neural Networks via Knowledge Distillation.
CoRR, 2018

GaAN: Gated Attention Networks for Learning on Large and Spatiotemporal Graphs.
Proceedings of the Thirty-Fourth Conference on Uncertainty in Artificial Intelligence, 2018

Pure Exploration of Multi-Armed Bandits with Heavy-Tailed Payoffs.
Proceedings of the Thirty-Fourth Conference on Uncertainty in Artificial Intelligence, 2018

INFAR: insight extraction from app reviews.
Proceedings of the 2018 ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2018

Almost Optimal Algorithms for Linear Stochastic Bandits with Heavy-Tailed Payoffs.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Exploring the effects of ad schemes on the performance cost of mobile phones.
Proceedings of the 1st International Workshop on Advances in Mobile App Analysis, 2018

A Generic Approach for Accelerating Stochastic Zeroth-Order Convex Optimization.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Code Completion with Neural Attention and Pointer Networks.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Online app review analysis for identifying emerging issues.
Proceedings of the 40th International Conference on Software Engineering, 2018

Personalized Sequential Check-in Prediction: Beyond Geographical and Temporal Contexts.
Proceedings of the 2018 IEEE International Conference on Multimedia and Expo, 2018

Topic Memory Networks for Short Text Classification.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Thread Popularity Prediction and Tracking with a Permutation-invariant Model.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Communication-Efficient Distributed Deep Metric Learning with Hybrid Synchronization.
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

Neural Relational Topic Models for Scientific Article Analysis.
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

2017
Introduction: special issue of selected papers from ACML 2015.
Mach. Learn., 2017

Semantically Consistent Image Completion with Fine-grained Details.
CoRR, 2017

High-Resolution Deep Convolutional Generative Adversarial Networks.
CoRR, 2017

Geo-Teaser: Geo-Temporal Sequential Embedding Rank for Point-of-interest Recommendation.
Proceedings of the 26th International Conference on World Wide Web Companion, 2017

Dynamic Key-Value Memory Networks for Knowledge Tracing.
Proceedings of the 26th International Conference on World Wide Web, 2017

Shifu: Deep Learning Based Advisor-advisee Relationship Mining in Scholarly Big Data.
Proceedings of the 26th International Conference on World Wide Web Companion, 2017

Leveraging Social Connections to Improve Peer Assessment in MOOCs.
Proceedings of the 26th International Conference on World Wide Web Companion, 2017

FROSH: FasteR Online Sketching Hashing.
Proceedings of the Thirty-Third Conference on Uncertainty in Artificial Intelligence, 2017

Mining Business Opportunities from Location-based Social Networks.
Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2017

Learning to Rank Using Localized Geometric Mean Metrics.
Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2017

Improving recommendation accuracy using networks of substitutable and complementary products.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

It's about time! Modeling customer behaviors as the secretary problem in daily deal websites.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Simple and efficient parallelization for probabilistic temporal tensor factorization.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Geo-Pairwise Ranking Matrix Factorization Model for Point-of-Interest Recommendation.
Proceedings of the Neural Information Processing - 24th International Conference, 2017

Toward Efficient and Accurate Covariance Matrix Estimation on Compressed Data.
Proceedings of the 34th International Conference on Machine Learning, 2017

Risk Control of Best Arm Identification in Multi-armed Bandits via Successive Rejects.
Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

Traffic Prediction Based Power Saving in Cellular Networks: A Machine Learning Method.
Proceedings of the 25th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2017

Aspect-level Sentiment Classification with HEAT (HiErarchical ATtention) Network.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

From Mutual Friends to Overlapping Community Detection: A Non-negative Matrix Factorization Approach.
Proceedings of the Advanced Data Mining and Applications - 13th International Conference, 2017

CBRAP: Contextual Bandits with RAndom Projection.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
A Unified Point-of-Interest Recommendation Framework in Location-Based Social Networks.
ACM Trans. Intell. Syst. Technol., 2016

Introduction to the Special Issue on Crowd in Intelligent Systems.
ACM Trans. Intell. Syst. Technol., 2016

Extracting translations from comparable corpora for Cross-Language Information Retrieval using the language modeling framework.
Inf. Process. Manag., 2016

GT-SEER: Geo-Temporal SEquential Embedding Rank for Point-of-interest Recommendation.
CoRR, 2016

A Survey of Point-of-interest Recommendation in Location-based Social Networks.
CoRR, 2016

Dynamic Key-Value Memory Network for Knowledge Tracing.
CoRR, 2016

Trust-aware Peer Assessment using Multi-armed Bandit Algorithms.
Proceedings of the 25th International Conference on World Wide Web, 2016

Online non-negative dictionary learning via moment information for sparse Poisson coding.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Distributed Information-Theoretic Metric Learning in Apache Spark.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Modeling the Homophily Effect between Links and Communities for Overlapping Community Detection.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Locality-Sensitive Linear Bandit Model for Online Social Recommendation.
Proceedings of the Neural Information Processing - 23rd International Conference, 2016

Topological Order Discovery via Deep Knowledge Tracing.
Proceedings of the Neural Information Processing - 23rd International Conference, 2016

An Online-Updating Approach on Task Recommendation in Crowdsourcing Systems.
Proceedings of the Neural Information Processing - 23rd International Conference, 2016

Constructing Reliable Gradient Exploration for Online Learning to Rank.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

STELLAR: Spatial-Temporal Latent Ranking for Successive Point-of-Interest Recommendation.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015
Boosting Response Aware Model-Based Collaborative Filtering.
IEEE Trans. Knowl. Data Eng., 2015

TaskRec: A Task Recommendation Framework in Crowdsourcing Systems.
Neural Process. Lett., 2015

Budget constrained non-monotonic feature selection.
Neural Networks, 2015

Maximum margin semi-supervised learning with irrelevant data.
Neural Networks, 2015

Learning to suggest questions in social media.
Knowl. Inf. Syst., 2015

A topic-biased user reputation model in rating systems.
Knowl. Inf. Syst., 2015

Multilingual information retrieval in the language modeling framework.
Inf. Retr. J., 2015

WSDM'15 Workshop Summary / Scalable Data Analytics: Theory and Applications.
Proceedings of the Eighth ACM International Conference on Web Search and Data Mining, 2015

Fast Relative-Error Approximation Algorithm for Ridge Regression.
Proceedings of the Thirty-First Conference on Uncertainty in Artificial Intelligence, 2015

Group buying in social coupon: Myths or facts.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

Exploiting k-Degree Locality to Improve Overlapping Community Detection.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Training-Efficient Feature Map for Shift-Invariant Kernels.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

A Framework for Describing Multimedia Circulation in a Smartphone Ecosystem.
Proceedings of the Advances in Digital Forensics XI, 2015

Exploiting Game Theoretic Analysis for Link Recommendation in Social Networks.
Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015

Improving Latent Factor Models via Personalized Feature Projection for One Class Recommendation.
Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015

Incorporating Implicit Link Preference Into Overlapping Community Detection.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

Kernelized Online Imbalanced Learning with Fixed Budgets.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014
Social Recommendation in Dynamic Networks.
Encyclopedia of Social Network Analysis and Mining, 2014

Graphical lasso quadratic discriminant function and its application to character recognition.
Neurocomputing, 2014

Language technologies for enhancement of teaching and learning in writing.
Proceedings of the 23rd International World Wide Web Conference, 2014

Ratings meet reviews, a combined approach to recommend.
Proceedings of the Eighth ACM Conference on Recommender Systems, 2014

Gradient boosting factorization machines.
Proceedings of the Eighth ACM Conference on Recommender Systems, 2014

Combinatorial Pure Exploration of Multi-Armed Bandits.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Exploiting homophily-based implicit social network to improve recommendation performance.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Non-monotonic Feature Selection for Regression.
Proceedings of the Neural Information Processing - 21st International Conference, 2014

Corporate Leaders Analytics and Network System (CLANS): Constructing and Mining Social Networks among Corporations and Business Elites in China.
Proceedings of the Neural Information Processing - 21st International Conference, 2014

Welcome from DSAA 2014 chairs.
Proceedings of the International Conference on Data Science and Advanced Analytics, 2014

Leveraging Social Connections to Improve Personalized Ranking for Collaborative Filtering.
Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, 2014

Axiomatic Analysis of Cross-Language Information Retrieval.
Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, 2014

2013
Collaborative Web Service QoS Prediction via Neighborhood Integrated Matrix Factorization.
IEEE Trans. Serv. Comput., 2013

Efficient online learning for multitask feature selection.
ACM Trans. Knowl. Discov. Data, 2013

Introduction to the special section on twitter and microblogging services.
ACM Trans. Intell. Syst. Technol., 2013

Introduction to Special section on Large-scale Data Mining.
Data Knowl. Eng., 2013

Exact and Stable Recovery of Pairwise Interaction Tensors.
Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

SCMF: Sparse Covariance Matrix Factorization for Collaborative Filtering.
Proceedings of the IJCAI 2013, 2013

A Unified Framework for Reputation Estimation in Online Rating Systems.
Proceedings of the IJCAI 2013, 2013

Where You Like to Go Next: Successive Point-of-Interest Recommendation.
Proceedings of the IJCAI 2013, 2013

Capturing Geographical Influence in POI Recommendations.
Proceedings of the Neural Information Processing - 20th International Conference, 2013

A Hierarchical Entity-Based Approach to Structuralize User Generated Content in Social Media: A Case of Yahoo! Answers.
Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing, 2013

Sparse Poisson coding for high dimensional document clustering.
Proceedings of the 2013 IEEE International Conference on Big Data, 2013

2012
Enhanced Models for Expertise Retrieval Using Community-Aware Strategies.
IEEE Trans. Syst. Man Cybern. Part B, 2012

Component Ranking for Fault-Tolerant Cloud Applications.
IEEE Trans. Serv. Comput., 2012

Mining Web Graphs for Recommendations.
IEEE Trans. Knowl. Data Eng., 2012

MatchSim: a novel similarity measure based on maximum neighborhood matching.
Knowl. Inf. Syst., 2012

Special issue on advances in web intelligence.
Neurocomputing, 2012

A classification-based approach to question routing in community question answering.
Proceedings of the 21st World Wide Web Conference, 2012

Analyzing and predicting question quality in community question answering services.
Proceedings of the 21st World Wide Web Conference, 2012

Response Aware Model-Based Collaborative Filtering.
Proceedings of the Twenty-Eighth Conference on Uncertainty in Artificial Intelligence, 2012

Modeling and exploiting heterogeneous bibliographic networks for expertise ranking.
Proceedings of the 12th ACM/IEEE-CS Joint Conference on Digital Libraries, 2012

Online learning for collaborative filtering.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

Communities of Yahoo! Answers and Baidu Zhidao: Complementing or competing?
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

TaskRec: Probabilistic Matrix Factorization in Task Recommendation in Crowdsourcing Systems.
Proceedings of the Neural Information Processing - 19th International Conference, 2012

Are You a Social Conformer?
Proceedings of the Neural Information Processing - 19th International Conference, 2012

Do ads compete or collaborate?: designing click models with full relationship incorporated.
Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

Information propagation in social rating networks.
Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

A Data-Driven Approach to Question Subjectivity Identification in Community Question Answering.
Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012

Fused Matrix Factorization with Geographical and Social Influence in Location-Based Social Networks.
Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012

2011
QoS-Aware Web Service Recommendation by Collaborative Filtering.
IEEE Trans. Serv. Comput., 2011

Improving Recommender Systems by Incorporating Social Contextual Information.
ACM Trans. Inf. Syst., 2011

Efficient Sparse Generalized Multiple Kernel Learning.
IEEE Trans. Neural Networks, 2011

Learning to recommend with explicit and implicit social relations.
ACM Trans. Intell. Syst. Technol., 2011

The Fourth ACM International Conference on Web Search and Data Mining (WSDM 2011).
SIGWEB Newsl., 2011

A report on the fourth ACM international conference on web search and data mining (WSDM 2011).
SIGKDD Explor., 2011

Empirical Comparisons of Attack and Protection Algorithms for Online Social Networks.
Proceedings of the 2nd International Conference on Ambient Systems, 2011

Special Issue Review: Neurocomputing - Special Issue on Advances in Web Intelligence.
IEEE Intell. Informatics Bull., 2011

CMAP: effective fusion of quality and relevance for multi-criteria recommendation.
Proceedings of the Forth International Conference on Web Search and Web Data Mining, 2011

Recommender systems with social regularization.
Proceedings of the Forth International Conference on Web Search and Web Data Mining, 2011

A Survey of Crowdsourcing Systems.
Proceedings of the PASSAT/SocialCom 2011, Privacy, 2011

Probabilistic factor models for web site recommendation.
Proceedings of the Proceeding of the 34th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2011

Mining test oracles of web search engines.
Proceedings of the 26th IEEE/ACM International Conference on Automated Software Engineering (ASE 2011), 2011

Task Matching in Crowdsourcing.
Proceedings of the 2011 IEEE International Conference on Internet of Things (iThings) & 4th IEEE International Conference on Cyber, 2011

Improving question retrieval in community question answering with label ranking.
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

Graphical Lasso Quadratic Discriminant Function for Character Recognition.
Proceedings of the Neural Information Processing - 18th International Conference, 2011

Enrichment and Reductionism: Two Approaches for Web Query Classification.
Proceedings of the Neural Information Processing - 18th International Conference, 2011

Towards a top-down and bottom-up bidirectional approach to joint information extraction.
Proceedings of the 20th ACM Conference on Information and Knowledge Management, 2011

Can irrelevant data help semi-supervised learning, why and how?
Proceedings of the 20th ACM Conference on Information and Knowledge Management, 2011

Question identification on twitter.
Proceedings of the 20th ACM Conference on Information and Knowledge Management, 2011

Question routing in community question answering: putting category in its place.
Proceedings of the 20th ACM Conference on Information and Knowledge Management, 2011

Learning to Suggest Questions in Online Forums.
Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011

2010
Discriminative semi-supervised feature selection via manifold regularization.
IEEE Trans. Neural Networks, 2010

Bridging the Semantic Gap Between Image Contents and Tags.
IEEE Trans. Multim., 2010

Label Ranking with Semi-Supervised Learning.
Aust. J. Intell. Inf. Process. Syst., 2010

Introduction to social recommendation.
Proceedings of the 19th International Conference on World Wide Web, 2010

Using finite state machines for evaluating spoken dialog systems.
Proceedings of the 2010 IEEE Spoken Language Technology Workshop, 2010

Collaborative filtering model for user satisfaction prediction in Spoken Dialog System evaluation.
Proceedings of the 2010 IEEE Spoken Language Technology Workshop, 2010

Collection of user judgments on spoken dialog system with crowdsourcing.
Proceedings of the 2010 IEEE Spoken Language Technology Workshop, 2010

Predicting user evaluations of spoken dialog systems using semi-supervised learning.
Proceedings of the 2010 IEEE Spoken Language Technology Workshop, 2010

FTCloud: A Component Ranking Framework for Fault-Tolerant Cloud Applications.
Proceedings of the IEEE 21st International Symposium on Software Reliability Engineering, 2010

Multi-task Learning for one-class classification.
Proceedings of the International Joint Conference on Neural Networks, 2010

Exploit of online social networks with Semi-Supervised Learning.
Proceedings of the International Joint Conference on Neural Networks, 2010

An Enhanced Semi-supervised Recommendation Model Based on Green's Function.
Proceedings of the Neural Information Processing. Theory and Algorithms, 2010

Exploit of Online Social Networks with Community-Based Graph Semi-Supervised Learning.
Proceedings of the Neural Information Processing. Theory and Algorithms, 2010

Online Learning for Group Lasso.
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010

Simple and Efficient Multiple Kernel Learning by Group Lasso.
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010

Introduction to Social Computing.
Proceedings of the Database Systems for Advanced Applications, 2010

Online learning for multi-task feature selection.
Proceedings of the 19th ACM Conference on Information and Knowledge Management, 2010

Routing questions to appropriate answerers in community question answering services.
Proceedings of the 19th ACM Conference on Information and Knowledge Management, 2010

UserRec: A User Recommendation Framework in Social Tagging Systems.
Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence, 2010

Smooth Optimization for Effective Multiple Kernel Learning.
Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence, 2010

Diversifying Query Suggestion Results.
Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence, 2010

2009
A Volume-Based Heat-Diffusion Classifier.
IEEE Trans. Syst. Man Cybern. Part B, 2009

A novel kernel-based maximum a posteriori classification method.
Neural Networks, 2009

Arbitrary Norm Support Vector Machines.
Neural Comput., 2009

Introduction.
J. Intell. Inf. Syst., 2009

Localized support vector regression for time series prediction.
Neurocomputing, 2009

A biased minimax probability machine-based scheme for relevance feedback in image retrieval.
Neurocomputing, 2009

Managing knowledge on the Web - Extracting ontology from HTML Web.
Decis. Support Syst., 2009

Effective latent space graph-based re-ranking model with global consistency.
Proceedings of the Second International Conference on Web Search and Web Data Mining, 2009

Learning to recommend with social trust ensemble.
Proceedings of the 32nd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2009

Entropy-biased models for query representation on the click graph.
Proceedings of the 32nd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2009

Learning to recommend with trust and distrust relationships.
Proceedings of the 2009 ACM Conference on Recommender Systems, 2009

Let's Tango - Finding the Right Couple for Feature-Opinion Association in Sentiment Analysis.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2009

Heavy-Tailed Symmetric Stochastic Neighbor Embedding.
Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009

Adaptive Regularization for Transductive Support Vector Machine.
Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009

First ACM SIGMM international workshop onsocial media (WSM'09).
Proceedings of the 17th International Conference on Multimedia 2009, 2009

A generalized Co-HITS algorithm and its application to bipartite graphs.
Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Paris, France, June 28, 2009

A brief survey of computational approaches in Social Computing.
Proceedings of the International Joint Conference on Neural Networks, 2009

Supervised Self-taught Learning: Actively transferring knowledge from unlabeled data.
Proceedings of the International Joint Conference on Neural Networks, 2009

WSRec: A Collaborative Filtering Based Web Service Recommender System.
Proceedings of the IEEE International Conference on Web Services, 2009

Ensemble Learning for Imbalanced E-commerce Transaction Anomaly Classification.
Proceedings of the Neural Information Processing, 16th International Conference, 2009

Non-monotonic feature selection.
Proceedings of the 26th Annual International Conference on Machine Learning, 2009

TagRec: Leveraging Tagging Wisdom for Recommendation.
Proceedings of the 12th IEEE International Conference on Computational Science and Engineering, 2009

A Survey of Human Computation Systems.
Proceedings of the 12th IEEE International Conference on Computational Science and Engineering, 2009

Mathematical Modeling of Social Games.
Proceedings of the 12th IEEE International Conference on Computational Science and Engineering, 2009

Automobile, car and BMW: horizontal and hierarchical approach in social tagging systems.
Proceedings of the 2nd ACM Workshop on Social Web Search and Mining, 2009

A social recommendation framework based on multi-scale continuous conditional random fields.
Proceedings of the 18th ACM Conference on Information and Knowledge Management, 2009

Semi-nonnegative matrix factorization with global statistical consistency for collaborative filtering.
Proceedings of the 18th ACM Conference on Information and Knowledge Management, 2009

MatchSim: a novel neighbor-based similarity measure with maximum neighborhood matching.
Proceedings of the 18th ACM Conference on Information and Knowledge Management, 2009

Enhancing expertise retrieval using community-aware strategies.
Proceedings of the 18th ACM Conference on Information and Knowledge Management, 2009

2008
Maxi-Min Margin Machine: Learning Large Margin Classifiers Locally and Globally.
IEEE Trans. Neural Networks, 2008

Robust BMPM training based on second-order cone programming and its application in medical diagnosis.
Neural Networks, 2008

International Conference on Neural Information Processing (ICONIP 2006).
Neurocomputing, 2008

Editorial.
Int. J. Intell. Comput. Cybern., 2008

RATE: A Review of Reviewers in a Manuscript Review Process.
Proceedings of the 2008 IEEE / WIC / ACM International Conference on Web Intelligence, 2008

An Analytical Approach to Optimizing the Utility of ESP Games.
Proceedings of the 2008 IEEE / WIC / ACM International Conference on Web Intelligence, 2008

An Analytical Study of Puzzle Selection Strategies for the ESP Game.
Proceedings of the 2008 IEEE / WIC / ACM International Conference on Web Intelligence, 2008

Learning with Consistency between Inductive Functions and Kernels.
Proceedings of the Advances in Neural Information Processing Systems 21, 2008

An Extended Level Method for Efficient Multiple Kernel Learning.
Proceedings of the Advances in Neural Information Processing Systems 21, 2008

Efficient Minimax Clustering Probability Machine by Generalized Probability Product Kernel.
Proceedings of the International Joint Conference on Neural Networks, 2008

Sprinkled Latent Semantic Indexing for Text Classification with Background Knowledge.
Proceedings of the Advances in Neuro-Information Processing, 15th International Conference, 2008

Semi-supervised Learning from General Unlabeled Data.
Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008

Direct Zero-Norm Optimization for Feature Selection.
Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008

Formal Models for Expert Finding on DBLP Bibliography Data.
Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008

Semi-supervised text categorization by active search.
Proceedings of the 17th ACM Conference on Information and Knowledge Management, 2008

SoRec: social recommendation using probabilistic matrix factorization.
Proceedings of the 17th ACM Conference on Information and Knowledge Management, 2008

Mining social networks using heat diffusion processes for marketing candidates selection.
Proceedings of the 17th ACM Conference on Information and Knowledge Management, 2008

Learning latent semantic relations from clickthrough data for query suggestion.
Proceedings of the 17th ACM Conference on Information and Knowledge Management, 2008

2007
The generalized dependency degree between attributes.
J. Assoc. Inf. Sci. Technol., 2007

Feature Selection Based on Minimum Error minimax Probability Machine.
Int. J. Pattern Recognit. Artif. Intell., 2007

Web page classification with heterogeneous data fusion.
Proceedings of the 16th International Conference on World Wide Web, 2007

Measuring credibility of users in an e-learning environment.
Proceedings of the 16th International Conference on World Wide Web, 2007

Efficient training on biased minimax probability machine for imbalanced text classification.
Proceedings of the 16th International Conference on World Wide Web, 2007

Extending Link-based Algorithms for Similar Web Pages with Neighborhood Structure.
Proceedings of the 2007 IEEE / WIC / ACM International Conference on Web Intelligence, 2007

DiffusionRank: a possible penicillin for web spamming.
Proceedings of the SIGIR 2007: Proceedings of the 30th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2007

Effective missing data prediction for collaborative filtering.
Proceedings of the SIGIR 2007: Proceedings of the 30th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2007

Efficient Convex Relaxation for Transductive Support Vector Machine.
Proceedings of the Advances in Neural Information Processing Systems 20, 2007

Maximum Margin based Semi-supervised Spectral Kernel Learning.
Proceedings of the International Joint Conference on Neural Networks, 2007

Large Scale Imbalanced Classification with Biased Minimax Probability Machine.
Proceedings of the International Joint Conference on Neural Networks, 2007

Two-stage Multi-class AdaBoost for Facial Expression Recognition.
Proceedings of the International Joint Conference on Neural Networks, 2007

Kernel Maximum a Posteriori Classification with Error Bound Analysis.
Proceedings of the Neural Information Processing, 14th International Conference, 2007

Bibliographic Attributes Extraction with Layer-upon-Layer Tagging.
Proceedings of the 9th International Conference on Document Analysis and Recognition (ICDAR 2007), 2007

Remote augmented reality for multiple players over network.
Proceedings of the International Conference on Advances in Computer Entertainment Technology, 2007

2006
Imbalanced learning with a biased minimax probability machine.
IEEE Trans. Syst. Man Cybern. Part B, 2006

Maximizing sensitivity in medical diagnosis using biased minimax probability Machine.
IEEE Trans. Biomed. Eng., 2006

A probabilistic cooperative-competitive hierarchical model for global optimization.
Appl. Math. Comput., 2006

PageSim: a novel link-based measure of web page aimilarity.
Proceedings of the 15th international conference on World Wide Web, 2006

Bilingual web page and site readability assessment.
Proceedings of the 15th international conference on World Wide Web, 2006

A user profile-based approach for personal information access: shaping your information portfolio.
Proceedings of the 15th international conference on World Wide Web, 2006

PageSim: A Novel Link-Based Similarity Measure for the World Wide Web.
Proceedings of the 2006 IEEE / WIC / ACM International Conference on Web Intelligence (WI 2006), 2006

Predictive Random Graph Ranking on the Web.
Proceedings of the International Joint Conference on Neural Networks, 2006

Local Support Vector Regression for Financial Time Series Prediction.
Proceedings of the International Joint Conference on Neural Networks, 2006

Biased Minimax Probability Machine Active Learning for Relevance Feedback in Content-Based Image Retrieval.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2006

Imbalanced Learning in Relevance Feedback with Biased Minimax Probability Machine for Image Retrieval Tasks.
Proceedings of the Neural Information Processing, 13th International Conference, 2006

2005
Predictive ranking: a novel page ranking approach by estimating the web structure.
Proceedings of the 14th international conference on World Wide Web, 2005

Information retrieval in P2P networks using genetic algorithm.
Proceedings of the 14th international conference on World Wide Web, 2005

Semantic Video Summarization Using Mutual Reinforcement Principle and Shot Arrangement Patterns.
Proceedings of the 11th International Conference on Multi Media Modeling (MMM 2005), 2005

Two-Phase LMR-RC Tagging for Chinese Word Segmentation.
Proceedings of the Fourth SIGHAN Workshop on Chinese Language Processing, 2005

2004
Distributed content-based visual information retrieval system on peer-to-peer networks.
ACM Trans. Inf. Syst., 2004

Branching competitive learning Network: A novel self-creating model.
IEEE Trans. Neural Networks, 2004

The Minimum Error Minimax Probability Machine.
J. Mach. Learn. Res., 2004

Video summarization by spatial-temporal graph optimization.
Proceedings of the 2004 International Symposium on Circuits and Systems, 2004

Biased Minimax Probability Machine for Medical Diagnosis.
Proceedings of the International Symposium on Artificial Intelligence and Mathematics, 2004

Outliers Treatment in Support Vector Regression for Financial Time Series Prediction.
Proceedings of the Neural Information Processing, 11th International Conference, 2004

Using Biased Support Vector Machine to Improve Retrieval Result in Image Retrieval with Self-organizing Map.
Proceedings of the Neural Information Processing, 11th International Conference, 2004

Learning large margin classifiers locally and globally.
Proceedings of the Machine Learning, 2004

Video summarization by video structure analysis and graph optimization.
Proceedings of the 2004 IEEE International Conference on Multimedia and Expo, 2004

Learning Classifiers from Imbalanced Data Based on Biased Minimax Probability Machine.
Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2004), with CD-ROM, 27 June, 2004

2003
Book Reviews.
IEEE Trans. Neural Networks, 2003

Integrated probability function and its application to content-based image retrieval by relevance feedback.
Pattern Recognit., 2003

Face recognition committee machines: dynamic vs. static structures.
Proceedings of the 12th International Conference on Image Analysis and Processing (ICIAP 2003), 2003

Face recognition committee machine.
Proceedings of the 2003 IEEE International Conference on Acoustics, 2003

Finite Mixture Model of Bounded Semi-naive Bayesian Networks Classifier.
Proceedings of the Artificial Neural Networks and Neural Information Processing, 2003

A Face Processing System Based on Committee Machine: The Approach and Experimental Results.
Proceedings of the Computer Analysis of Images and Patterns, 10th International Conference, 2003

2002
An efficient decoding technique for Huffman codes.
Inf. Process. Lett., 2002

Support Vector Machine Regression for Volatile Stock Market Prediction.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2002

2001
A PCA approach for fast retrieval of structural patterns in attributed graphs.
IEEE Trans. Syst. Man Cybern. Part B, 2001

Hierarchical Classification of Documents with Error Control.
Proceedings of the Knowledge Discovery and Data Mining, 2001

2000
A Two-Stage Framework for Polygon Retrieval.
Multim. Tools Appl., 2000

Chinese Cursive Script Character Image Retrieval Based on an Integrated Probability Function.
Proceedings of the Advances in Visual Information Systems, 4th International Conference, 2000

Content-Based Image Retrieval by Relevance Feedback.
Proceedings of the Advances in Visual Information Systems, 4th International Conference, 2000

Regression Analysis for Rival Penalized Competitive Learning Binary Tree.
Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000

1999
A Distance Measure for Video Sequences.
Comput. Vis. Image Underst., 1999

Genetic Algorithm for Weights Assignment in Dissimilarity Function for Trademark Retrieval.
Proceedings of the Visual Information and Information Systems, 1999

Non-hierarchical Clustering with Rival Penalized Competitive Learning for Information Retrieval.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 1999

1998
Two-Stage Polygon Representation for Efficient Shape Retrieval in Image Databases.
Proceedings of the Image Databases and Multi-Media Search, 1998

An efficient iterative pose estimation algorithm.
Image Vis. Comput., 1998

Probabilistic cooperative-competitive hierarchical modeling as a genetic operator in global optimization.
Proceedings of the IEEE International Conference on Systems, Man and Cybernetics, 1998

Intra-Block Max-Min Algorithm for Embedding Robust Digital Watermark into Images.
Proceedings of the Multimedia Information Analysis and Retrieval, 1998

Video Sequence Similarity Matching.
Proceedings of the Multimedia Information Analysis and Retrieval, 1998

A Distance Measure for Video Sequence Similarity Matching.
Proceedings of the International Workshop on Multi-Media Database Management Systems, 1998

Intra-block algorithm for digital watermarking.
Proceedings of the Fourteenth International Conference on Pattern Recognition, 1998

Noise Removal Based on Classification of Wavelet Coefficients Using Counterpropagation Neural Networks.
Proceedings of the Fifth International Conference on Neural Information Processing, 1998

Montage: An Image Database for the Fashion, Textile, and Clothing Industry in Hong Kong.
Proceedings of the Computer Vision, 1998

1997
A Two-Stage Framework for Polygon Retrieval Using Minimum Circular Error Bound.
Proceedings of the Image Analysis and Processing, 9th International Conference, 1997

1996
Randomized generalized Hough transform for 2-D gray scale object detection.
Proceedings of the 13th International Conference on Pattern Recognition, 1996

Facial expression synthesis by radial basis function network and image warping.
Proceedings of International Conference on Neural Networks (ICNN'96), 1996

Performance analysis of a new updating rule for TD(/spl lambda/) learning in feedforward networks for position evaluation in Go game.
Proceedings of International Conference on Neural Networks (ICNN'96), 1996

1995
Report on the Computer Strategy-Game Programming Workshop.
J. Int. Comput. Games Assoc., 1995

Least Mean Square Error Reconstruction Learning in Recurrent Network.
Proceedings of International Conference on Neural Networks (ICNN'95), Perth, WA, Australia, November 27, 1995

1988
Three neural models which process temporal information.
Neural Networks, 1988


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