Deyu Zhou

According to our database1, Deyu Zhou authored at least 45 papers between 1998 and 2019.

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

Timeline

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Links

On csauthors.net:

Bibliography

2019
Hidden topic-emotion transition model for multi-level social emotion detection.
Knowl.-Based Syst., 2019

ATM: Adversarial-neural Topic Model.
Inf. Process. Manage., 2019

Hierarchical viewpoint discovery from tweets using Bayesian modelling.
Expert Syst. Appl., 2019

Variational Conditional GAN for Fine-grained Controllable Image Generation.
CoRR, 2019

Open Event Extraction from Online Text using a Generative Adversarial Network.
CoRR, 2019

A Survey on Opinion Mining: From Stance to Product Aspect.
IEEE Access, 2019

GraspSnooker: Automatic Chinese Commentary Generation for Snooker Videos.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

2018
Weakly Supervised POS Tagging without Disambiguation.
ACM Trans. Asian & Low-Resource Lang. Inf. Process., 2018

ATM: Adversarial-neural Topic Model.
CoRR, 2018

Position-aware deep multi-task learning for drug-drug interaction extraction.
Artificial Intelligence in Medicine, 2018

Relevant Emotion Ranking from Text Constrained with Emotion Relationships.
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

Neural Storyline Extraction Model for Storyline Generation from News Articles.
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

An Interpretable Neural Network with Topical Information for Relevant Emotion Ranking.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

2017
Unsupervised event exploration from social text streams.
Intell. Data Anal., 2017

Event extraction from Twitter using Non-Parametric Bayesian Mixture Model with Word Embeddings.
Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics, 2017

2016
Unsupervised Storyline Extraction from News Articles.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Sparsity Conditional Energy Label Distribution Learning for Age Estimation.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Emotion Distribution Learning from Texts.
Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

Jointly Event Extraction and Visualization on Twitter via Probabilistic Modelling.
Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016

2015
A semi-supervised learning framework for biomedical event extraction based on hidden topics.
Artificial Intelligence in Medicine, 2015

An Unsupervised Bayesian Modelling Approach for Storyline Detection on News Articles.
Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015

An Unsupervised Framework of Exploring Events on Twitter: Filtering, Extraction and Categorization.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014
Biomedical Relation Extraction: From Binary to Complex.
Comp. Math. Methods in Medicine, 2014

Event trigger identification for biomedical events extraction using domain knowledge.
Bioinformatics, 2014

A Simple Bayesian Modelling Approach to Event Extraction from Twitter.
Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics, 2014

2012
Analyzing ChIP-seq Data based on Multiple Knowledge Sources for Histone Modification.
JSW, 2012

2011
Self-training from labeled features for sentiment analysis.
Inf. Process. Manage., 2011

Biomedical events extraction using the hidden vector state model.
Artificial Intelligence in Medicine, 2011

Semantic Parsing for Biomedical Event Extraction.
Proceedings of the Ninth International Conference on Computational Semantics, 2011

Learning Conditional Random Fields from Unaligned Data for Natural Language Understanding.
Proceedings of the Advances in Information Retrieval, 2011

A novel framework of training hidden markov support vector machines from lightly-annotated data.
Proceedings of the 20th ACM Conference on Information and Knowledge Management, 2011

2010
Exploring English Lexicon Knowledge for Chinese Sentiment Analysis.
Proceedings of the CIPS-SIGHAN Joint Conference on Chinese Language Processing, 2010

2009
Discriminative Training of the Hidden Vector State Model for Semantic Parsing.
IEEE Trans. Knowl. Data Eng., 2009

2008
From Biomedical Literature to Knowledge: Mining Protein-Protein Interactions.
Proceedings of the Computational Intelligence in Biomedicine and Bioinformatics, 2008

Extracting interactions between proteins from the literature.
Journal of Biomedical Informatics, 2008

Extracting Protein-Protein Interactions from MEDLINE using the Hidden Vector State model.
IJBRA, 2008

Ontology-Based Protein-Protein Interactions Extraction from Literature Using the Hidden Vector State Model.
Proceedings of the Workshops Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008

A Hybrid Generative/Discriminative Framework to Train a Semantic Parser from an Un-annotated Corpus.
Proceedings of the COLING 2008, 2008

Extracting Protein-Protein Interaction based on Discriminative Training of the Hidden Vector State Model.
Proceedings of the Workshop on Current Trends in Biomedical Natural Language Processing, 2008

2007
Semi-supervised learning of the hidden vector state model for extracting protein-protein interactions.
Artificial Intelligence in Medicine, 2007

Ant-MST: An Ant-Based Minimum Spanning Tree for Gene Expression Data Clustering.
Proceedings of the Pattern Recognition in Bioinformatics, 2007

Training the Hidden Vector State Model from Un-annotated Corpus.
Proceedings of the Computational Science - ICCS 2007, 7th International Conference, Beijing, China, May 27, 2007

Semi-supervised Learning of the Hidden Vector State Model for Protein-Protein Interactions Extraction.
Proceedings of the IEEE Symposium on Computational Intelligence and Data Mining, 2007

2006
Extracting Protein-Protein Interactions from the Literature Using the Hidden Vector State Model.
Proceedings of the Computational Science, 2006

1998
Packet-switched optical networks.
IEEE Micro, 1998


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