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

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

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

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

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

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

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

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.

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[DOI]

You Lu