Ximing Li

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Extracting Topics with Simultaneous Word Co-occurrence and Semantic Correlation Graphs: Neural Topic Modeling for Short Texts.

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[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

Detecting the Fake Candidate Instances: Ambiguous Label Learning with Generative Adversarial Networks.

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[DOI]

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

VPALG: Paper-publication Prediction with Graph Neural Networks.

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[DOI]

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

To Be or not to Be, Tail Labels in Extreme Multi-label Learning.

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[DOI]

Zhiqi Ge

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Semi-Supervised Text Classification with Balanced Deep Representation Distributions.

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[DOI]

Changchun Li

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020

Color Image Super-Resolution and Enhancement with Inter-Channel Details at Trivial Cost.

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[DOI]

J. Comput. Sci. Technol., 2020

Robust stochastic block model.

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[DOI]

Neurocomputing, 2020

Multilabel Text Classification With Incomplete Labels: A Safe Generative Model With Label Manifold Regularization and Confidence Constraint.

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[DOI]

Yuanyuan Guan

IEEE Multim., 2020

Recovering Accurate Labeling Information from Partially Valid Data for Effective Multi-Label Learning.

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[DOI]

Yang Wang

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Semantics-assisted Wasserstein Learning for Topic and Word Embeddings.

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[DOI]

Proceedings of the 20th IEEE International Conference on Data Mining, 2020

Learning with Noisy Partial Labels by Simultaneously Leveraging Global and Local Consistencies.

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[DOI]

Changchun Li

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

Reduction and Local Search for Weighted Graph Coloring Problem.

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[DOI]

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Topic representation: Finding more representative words in topic models.

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[DOI]

Pattern Recognit. Lett., 2019

A salt and pepper noise image denoising method based on the generative classification.

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[DOI]

Multim. Tools Appl., 2019

Relational Biterm Topic Model: Short-Text Topic Modeling using Word Embeddings.

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[DOI]

Comput. J., 2019

Classifying Extremely Short Texts by Exploiting Semantic Centroids in Word Mover's Distance Space.

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[DOI]

Changchun Li

Proceedings of the World Wide Web Conference, 2019

Approximate Optimal Transport for Continuous Densities with Copulas.

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[DOI]

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

A Fine-grained and Noise-aware Method for Neural Relation Extraction.

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[DOI]

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

Dirichlet Multinomial Mixture with Variational Manifold Regularization: Topic Modeling over Short Texts.

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[DOI]

Jiaojiao Zhang

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Distant supervision for neural relation extraction integrated with word attention and property features.

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[DOI]

Neural Networks, 2018

Short text topic modeling by exploring original documents.

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[DOI]

Knowl. Inf. Syst., 2018

Supervised topic models with weighted words: multi-label document classification.

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[DOI]

Yue-peng Zou

Frontiers Inf. Technol. Electron. Eng., 2018

Empirical study on variational inference methods for topic models.

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[DOI]

J. Exp. Theor. Artif. Intell., 2018

Filtering out the noise in short text topic modeling.

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[DOI]

Inf. Sci., 2018

Exploring coherent topics by topic modeling with term weighting.

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[DOI]

Inf. Process. Manag., 2018

A more time-efficient gibbs sampling algorithm based on SparseLDA for latent dirichlet allocation.

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[DOI]

Intell. Data Anal., 2018

Light Weight Color Image Warping with Inter-Channel Information.

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[DOI]

CoRR, 2018

A salt and pepper noise image denoising method based on the generative classification.

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[DOI]

CoRR, 2018

Two time-efficient gibbs sampling inference algorithms for biterm topic model.

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[DOI]

Appl. Intell., 2018

Black-box Expectation Propagation for Bayesian Models.

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[DOI]

Proceedings of the 2018 SIAM International Conference on Data Mining, 2018

Variance Reduction in Black-box Variational Inference by Adaptive Importance Sampling.

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[DOI]

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

A Pseudo Label based Dataless Naive Bayes Algorithm for Text Classification with Seed Words.

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[DOI]

Bo Yang

Proceedings of the 27th International Conference on Computational Linguistics, 2018

Dataless Text Classification: A Topic Modeling Approach with Document Manifold.

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[DOI]

Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

2016

Boosting scene understanding by hierarchical pachinko allocation.

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[DOI]

Hongtu Li

Multim. Tools Appl., 2016

Labelset topic model for multi-label document classification.

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[DOI]

J. Intell. Inf. Syst., 2016

A kernel-based centroid classifier using hypothesis margin.

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[DOI]

J. Exp. Theor. Artif. Intell., 2016

Tuning the Learning Rate for Stochastic Variational Inference.

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[DOI]

J. Comput. Sci. Technol., 2016

Sparse Hybrid Variational-Gibbs Algorithm for Latent Dirichlet Allocation.

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[DOI]

Proceedings of the 2016 SIAM International Conference on Data Mining, 2016

Integrating Topic Modeling with Word Embeddings by Mixtures of vMFs.

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[DOI]

Proceedings of the COLING 2016, 2016

2015

Centroid prior topic model for multi-label classification.

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[DOI]

Pattern Recognit. Lett., 2015

Topic modeling for large-scale text data.

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[DOI]

You Lu

Frontiers Inf. Technol. Electron. Eng., 2015

Group topic model: organizing topics into groups.

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[DOI]

Inf. Retr. J., 2015

Supervised topic models for multi-label classification.

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[DOI]

Neurocomputing, 2015

Supervised labeled latent Dirichlet allocation for document categorization.

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[DOI]

Appl. Intell., 2015

2014

Adaptive Centroid-Based Clustering Algorithm for Text Document Data.

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[DOI]

Proceedings of the Sixth International Symposium on Parallel Architectures, 2014

Momentum Online LDA for Large-scale Datasets.

[BibT_eX]

[DOI]

You Lu