Yangqiu Song

According to our database1, Yangqiu Song authored at least 116 papers between 2006 and 2018.

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Bibliography

2018
Illinois CCG LoReHLT 2016 named entity recognition and situation frame systems.
Machine Translation, 2018

Unsupervised meta-path selection for text similarity measure based on heterogeneous information networks.
Data Min. Knowl. Discov., 2018

Learning with Heterogeneous Side Information Fusion for Recommender Systems.
CoRR, 2018

Large-Scale Hierarchical Text Classification with Recursively Regularized Deep Graph-CNN.
Proceedings of the 2018 World Wide Web Conference on World Wide Web, 2018


Scalable Multiplex Network Embedding.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Biased Random Walk based Social Regularization for Word Embeddings.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Make Evasion Harder: An Intelligent Android Malware Detection System.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Time-evolving Text Classification with Deep Neural Networks.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

A Distributed Solution for Winograd Schema Challenge.
Proceedings of the 10th International Conference on Machine Learning and Computing, 2018

Entity Linking within a Social Media Platform: A Case Study on Yelp.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Capture Commonsense Knowledge for Sentiment Analysis.
Proceedings of the 2018 IEEE International Conference on Big Data and Smart Computing, 2018

Ranking Users in Social Networks With Higher-Order Structures.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Training and Evaluating Improved Dependency-Based Word Embeddings.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
KBQA: Learning Question Answering over QA Corpora and Knowledge Bases.
PVLDB, 2017

Adaptive Result Inference for Collecting Quantitative Data With Crowdsourcing.
IEEE Internet of Things Journal, 2017

Understanding Hidden Memories of Recurrent Neural Networks.
CoRR, 2017

Machine Learning with World Knowledge: The Position and Survey.
CoRR, 2017

Subjective Knowledge Acquisition and Enrichment Powered By Crowdsourcing.
CoRR, 2017

Maximum-Likelihood Augmented Discrete Generative Adversarial Networks.
CoRR, 2017

NNEMBs at SemEval-2017 Task 4: Neural Twitter Sentiment Classification: a Simple Ensemble Method with Different Embeddings.
Proceedings of the 11th International Workshop on Semantic Evaluation, 2017

Meta-Graph Based Recommendation Fusion over Heterogeneous Information Networks.
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

HinDroid: An Intelligent Android Malware Detection System Based on Structured Heterogeneous Information Network.
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

Socialized Word Embeddings.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Semi-supervised Learning over Heterogeneous Information Networks by Ensemble of Meta-graph Guided Random Walks.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Joint Embeddings of Chinese Words, Characters, and Fine-grained Subcharacter Components.
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

Document-Level Multi-Aspect Sentiment Classification as Machine Comprehension.
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

Distant Meta-Path Similarities for Text-Based Heterogeneous Information Networks.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

Budgeted Task Scheduling for Crowdsourced Knowledge Acquisition.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

Incrementally Learning the Hierarchical Softmax Function for Neural Language Models.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
Heterogeneous Translated Hashing: A Scalable Solution Towards Multi-Modal Similarity Search.
TKDD, 2016

World Knowledge as Indirect Supervision for Document Clustering.
TKDD, 2016

The Stability and Usability of Statistical Topic Models.
TiiS, 2016

Microblog sentiment classification with heterogeneous sentiment knowledge.
Inf. Sci., 2016

Structured microblog sentiment classification via social context regularization.
Neurocomputing, 2016

Towards building a high-quality microblog-specific Chinese sentiment lexicon.
Decision Support Systems, 2016

World Knowledge as Indirect Supervision for Document Clustering.
CoRR, 2016

Cross-lingual Dataless Classification for Languages with Small Wikipedia Presence.
CoRR, 2016

RelSim: Relation Similarity Search in Schema-Rich Heterogeneous Information Networks.
Proceedings of the 2016 SIAM International Conference on Data Mining, 2016

Improving Topic Model Stability for Effective Document Exploration.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Cross-Lingual Dataless Classification for Many Languages.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Incorporating External Knowledge into Crowd Intelligence for More Specific Knowledge Acquisition.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Event Detection and Co-reference with Minimal Supervision.
Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

Word Embeddings with Limited Memory.
Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016

Tracking Idea Flows between Social Groups.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

Instilling Social to Physical: Co-Regularized Heterogeneous Transfer Learning.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

Text Classification with Heterogeneous Information Network Kernels.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015
Automatic Taxonomy Construction from Keywords via Scalable Bayesian Rose Trees.
IEEE Trans. Knowl. Data Eng., 2015

Evolutionary Bayesian Rose Trees.
IEEE Trans. Knowl. Data Eng., 2015

Does Summarization Help Stock Prediction? A News Impact Analysis.
IEEE Intelligent Systems, 2015

Tracking Idea Flows between Social Groups.
CoRR, 2015

Illinois CCG TAC 2015 Event Nugget, Entity Discovery and Linking, and Slot Filler Validation Systems.
Proceedings of the 2015 Text Analysis Conference, 2015

Unsupervised Sparse Vector Densification for Short Text Similarity.
Proceedings of the NAACL HLT 2015, The 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Denver, Colorado, USA, May 31, 2015

Incorporating World Knowledge to Document Clustering via Heterogeneous Information Networks.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

Transitive Transfer Learning.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

User-directed Non-Disruptive Topic Model Update for Effective Exploration of Dynamic Content.
Proceedings of the 20th International Conference on Intelligent User Interfaces, 2015

Constrained Information-Theoretic Tripartite Graph Clustering to Identify Semantically Similar Relations.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Open Domain Short Text Conceptualization: A Generative + Descriptive Modeling Approach.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Semantic-Based Recommendation Across Heterogeneous Domains.
Proceedings of the 2015 IEEE International Conference on Data Mining, 2015

KnowSim: A Document Similarity Measure on Structured Heterogeneous Information Networks.
Proceedings of the 2015 IEEE International Conference on Data Mining, 2015

Improving a Pipeline Architecture for Shallow Discourse Parsing.
Proceedings of the 19th Conference on Computational Natural Language Learning: Shared Task, 2015

Microblog Sentiment Classification with Contextual Knowledge Regularization.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

Combining Machine Learning and Crowdsourcing for Better Understanding Commodity Reviews.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

Spectral Label Refinement for Noisy and Missing Text Labels.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014
Semantic Multidimensional Scaling for Open-Domain Sentiment Analysis.
IEEE Intelligent Systems, 2014

Brief survey of crowdsourcing for data mining.
Expert Syst. Appl., 2014

Tag propagation based recommendation across diverse social media.
Proceedings of the 23rd International World Wide Web Conference, 2014

Scalable heterogeneous translated hashing.
Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

Transfer Understanding from Head Queries to Tail Queries.
Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, 2014

On Dataless Hierarchical Text Classification.
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

2013
Constrained Text Coclustering with Supervised and Unsupervised Constraints.
IEEE Trans. Knowl. Data Eng., 2013

Identifying users' topical tasks in web search.
Proceedings of the Sixth ACM International Conference on Web Search and Data Mining, 2013

Mining evolutionary multi-branch trees from text streams.
Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

Collaborative boosting for activity classification in microblogs.
Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

Optimizing temporal topic segmentation for intelligent text visualization.
Proceedings of the 18th International Conference on Intelligent User Interfaces, 2013

Lead-lag analysis via sparse co-projection in correlated text streams.
Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013

2012
TIARA: Interactive, Topic-Based Visual Text Summarization and Analysis.
ACM TIST, 2012

ImageHive: Interactive Content-Aware Image Summarization.
IEEE Computer Graphics and Applications, 2012

Automatic taxonomy construction from keywords.
Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

2011
TextFlow: Towards Better Understanding of Evolving Topics in Text.
IEEE Trans. Vis. Comput. Graph., 2011

Parallel Spectral Clustering in Distributed Systems.
IEEE Trans. Pattern Anal. Mach. Intell., 2011

Semi-supervised ranking aggregation.
Inf. Process. Manage., 2011

Short Text Conceptualization Using a Probabilistic Knowledgebase.
Proceedings of the IJCAI 2011, 2011

Tracking and Connecting Topics via Incremental Hierarchical Dirichlet Processes.
Proceedings of the 11th IEEE International Conference on Data Mining, 2011

Isanette: A Common and Common Sense Knowledge Base for Opinion Mining.
Proceedings of the Data Mining Workshops (ICDMW), 2011

2010
Boosting with pairwise constraints.
Neurocomputing, 2010

Evolutionary hierarchical dirichlet processes for multiple correlated time-varying corpora.
Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2010

TIARA: a visual exploratory text analytic system.
Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2010

Homotopy Regularization for Boosting.
Proceedings of the ICDM 2010, 2010

Constrained Coclustering for Textual Documents.
Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence, 2010

2009
Extracting the optimal dimensionality for local tensor discriminant analysis.
Pattern Recognition, 2009

Semi-supervised discriminative classification with application to tumorous tissues segmentation of MR brain images.
Pattern Anal. Appl., 2009

Embedding new data points for manifold learning via coordinate propagation.
Knowl. Inf. Syst., 2009

Nonlinear dimensionality reduction with relative distance comparison.
Neurocomputing, 2009

Efficient Active Learning with Boosting.
Proceedings of the SIAM International Conference on Data Mining, 2009

On-line Evolutionary Exponential Family Mixture.
Proceedings of the IJCAI 2009, 2009

Knowledge Transfer on Hybrid Graph.
Proceedings of the IJCAI 2009, 2009

Topic and keyword re-ranking for LDA-based topic modeling.
Proceedings of the 18th ACM Conference on Information and Knowledge Management, 2009

2008
Content-Based Information Fusion for Semi-Supervised Music Genre Classification.
IEEE Trans. Multimedia, 2008

Semi-supervised sub-manifold discriminant analysis.
Pattern Recognition Letters, 2008

Contour graph based human tracking and action sequence recognition.
Pattern Recognition, 2008

A unified framework for semi-supervised dimensionality reduction.
Pattern Recognition, 2008

Semi-supervised Multi-label Learning by Solving a Sylvester Equation.
Proceedings of the SIAM International Conference on Data Mining, 2008

Transferred Dimensionality Reduction.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2008

Parallel Spectral Clustering.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2008

Active model selection for Graph-Based Semi-Supervised Learning.
Proceedings of the IEEE International Conference on Acoustics, 2008

Cost-sensitive boosting algorithms as gradient descent.
Proceedings of the IEEE International Conference on Acoustics, 2008

Semi-supervised ranking aggregation.
Proceedings of the 17th ACM Conference on Information and Knowledge Management, 2008

2007
Embedding New Data Points for Manifold Learning Via Coordinate Propagation.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2007

Semi-Supervised Music Genre Classification.
Proceedings of the IEEE International Conference on Acoustics, 2007

Extracting the Optimal Dimensionality for Discriminant Analysis.
Proceedings of the IEEE International Conference on Acoustics, 2007

Optimal Dimensionality Discriminant Analysis and Its Application to Image Recognition.
Proceedings of the 2007 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2007), 2007

Ranking with semi-supervised distance metric learning and its application to housing potential estimation.
Proceedings of the Sixteenth ACM Conference on Information and Knowledge Management, 2007

Localized Content-Based Image Retrieval Using Semi-Supervised Multiple Instance Learning.
Proceedings of the Computer Vision, 2007

2006
Graph Based Multi-class Semi-supervised Learning Using Gaussian Process.
Proceedings of the Structural, 2006

A Discriminative Method For Semi-Automated Tumorous Tissues Segmentation of MR Brain Images.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2006


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