Haiqin Yang

According to our database1, Haiqin Yang authored at least 51 papers between 2002 and 2020.

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

Timeline

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2020
Hierarchical Context Enhanced Multi-Domain Dialogue System for Multi-domain Task Completion.
CoRR, 2020

2019
BERT Meets Chinese Word Segmentation.
CoRR, 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

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

Factorization machines and deep views-based co-training for improving answer quality prediction in online health expert question-answering services.
J. Biomed. Informatics, 2018

Predicting the quality of online health expert question-answering services with temporal features in a deep learning framework.
Neurocomputing, 2018

Implicit Heterogeneous Features Embedding in Deep Knowledge Tracing.
Cogn. Comput., 2018

A Broad Neural Network Structure for Class Incremental Learning.
Proceedings of the Advances in Neural Networks - ISNN 2018, 2018

TreeNet: Learning Sentence Representations with Unconstrained Tree Structure.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Neural Machine Translation for Financial Listing Documents.
Proceedings of the Neural Information Processing - 25th International Conference, 2018

2017
A deep learning approach for predicting the quality of online health expert question-answering services.
J. Biomed. Informatics, 2017

BT-Nets: Simplifying Deep Neural Networks via Block Term Decomposition.
CoRR, 2017

Heterogeneous Features Integration in Deep Knowledge Tracing.
Proceedings of the Neural Information Processing - 24th International Conference, 2017

Efficient Non-Oblivious Randomized Reduction for Risk Minimization with Improved Excess Risk Guarantee.
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

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

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

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

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

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

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

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

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

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

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

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

Online learning for collaborative filtering.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 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
Efficient Sparse Generalized Multiple Kernel Learning.
IEEE Trans. Neural Networks, 2011

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

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

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

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

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

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

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. Engineering, 2006

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

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

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

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


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