Ximing Li

According to our database, Ximing Li authored at least 57 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Graph-based Text Classification by Contrastive Learning with Text-level Graph Augmentation.

Ximing Li, Bing Wang, Yang Wang, Meng Wang

ACM Trans. Knowl. Discov. Data, May, 2024

Adaptive prototype and consistency alignment for semi-supervised domain adaptation.

Jihong Ouyang, Zhengjie Zhang, Qingyi Meng, Ximing Li, Dang Ngoc Hoang Thanh

Multim. Tools Appl., January, 2024

Aspect-Based Sentiment Analysis with Explicit Sentiment Augmentations.

Jihong Ouyang, Zhiyao Yang, Silong Liang, Bing Wang, Yimeng Wang, Ximing Li

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Weakly supervised prototype topic model with discriminative seed words: modifying the category prior by self-exploring supervised signals.

Ximing Li, Bing Wang, Yue Wang, Jihong Ouyang, Harish Garg, Dang N. H. Thanh

Soft Comput., May, 2023

Learning with partial multi-labeled data by leveraging low-rank constraint and decomposition.

Ying Wang, Yuanyuan Guan, Bing Wang, Ximing Li

Appl. Intell., April, 2023

S3map: Semisupervised aspect-based sentiment analysis with masked aspect prediction.

Zhiyao Yang, Bing Wang, Ximing Li, Wenting Wang, Jihong Ouyang

Knowl. Based Syst., 2023

Unsupervised Sentence Representation Learning with Frequency-induced Adversarial Tuning and Incomplete Sentence Filtering.

Bing Wang, Ximing Li, Zhiyao Yang, Yuanyuan Guan, Jiayin Li, Shengsheng Wang

CoRR, 2023

Weakly Supervised Regression with Interval Targets.

Xin Cheng, Yuzhou Cao, Ximing Li, Bo An, Lei Feng

Proceedings of the International Conference on Machine Learning, 2023

Unsupervised Aspect Term Extraction by Integrating Sentence-level Curriculum Learning with Token-level Self-paced Learning.

Jihong Ouyang, Zhiyao Yang, Chang Xuan, Bing Wang, Yiyuan Wang, Ximing Li

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Learning with Partial Labels from Semi-supervised Perspective.

Ximing Li, Yuanzhi Jiang, Changchun Li, Yiyuan Wang, Jihong Ouyang

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Variational Wasserstein Barycenters with C-cyclical Monotonicity Regularization.

Jinjin Chi, Zhiyao Yang, Ximing Li, Jihong Ouyang, Renchu Guan

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Extracting nonlinear neural topics with neural variational bayes.

Yiming Wang, Ximing Li, Jihong Ouyang, Zeqi Guo, Yimeng Wang

World Wide Web, 2022

Approximate posterior inference for Bayesian models: black-box expectation propagation.

Ximing Li, Changchun Li, Jinjin Chi, Jihong Ouyang

Knowl. Inf. Syst., 2022

Fast copula variational inference.

Jinjin Chi, Jihong Ouyang, Ang Zhang, Xinhua Wang, Ximing Li

J. Exp. Theor. Artif. Intell., 2022

Approximate continuous optimal transport with copulas.

Jinjin Chi, Bilin Wang, Huiling Chen, Lejun Zhang, Ximing Li, Jihong Ouyang

Int. J. Intell. Syst., 2022

Weakly-supervised Text Classification with Wasserstein Barycenters Regularization.

Jihong Ouyang, Yiming Wang, Ximing Li, Changchun Li

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Who Is Your Right Mixup Partner in Positive and Unlabeled Learning.

Changchun Li, Ximing Li, Lei Feng, Jihong Ouyang

Proceedings of the Tenth International Conference on Learning Representations, 2022

A Contrastive Cross-Channel Data Augmentation Framework for Aspect-Based Sentiment Analysis.

Bing Wang, Liang Ding, Qihuang Zhong, Ximing Li, Dacheng Tao

Proceedings of the 29th International Conference on Computational Linguistics, 2022

2021

RMoR-Aion: Robust Multioutput Regression by Simultaneously Alleviating Input and Output Noises.

Ximing Li, Yang Wang, Zhao Zhang, Richang Hong, Li Zhuo, Meng Wang

IEEE Trans. Neural Networks Learn. Syst., 2021

Topic extraction from extremely short texts with variational manifold regularization.

Ximing Li, Yang Wang, Jihong Ouyang, Meng Wang

Mach. Learn., 2021

Weakly Supervised Prototype Topic Model with Discriminative Seed Words: Modifying the Category Prior by Self-exploring Supervised Signals.

Bing Wang, Yue Wang, Ximing Li, Jihong Ouyang

CoRR, 2021

Variational Wasserstein Barycenters with c-Cyclical Monotonicity.

Jinjin Chi, Zhiyao Yang, Jihong Ouyang, Ximing Li

CoRR, 2021

Layer-Assisted Neural Topic Modeling over Document Networks.

Yiming Wang, Ximing Li, Jihong Ouyang

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.

Yiming Wang, Ximing Li, Xiaotang Zhou, Jihong Ouyang

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.

Changchun Li, Ximing Li, Jihong Ouyang, Yiming Wang

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.

Changchun Li, Ximing Li, Jihong Ouyang

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.

Ximing Li, Yang Wang

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

Semantics-assisted Wasserstein Learning for Topic and Word Embeddings.

Changchun Li, Ximing Li, Jihong Ouyang, Yiming Wang

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

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

Changchun Li, Ximing Li, Jihong Ouyang

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

2019

Topic representation: Finding more representative words in topic models.

Jinjin Chi, Jihong Ouyang, Changchun Li, Xueyang Dong, Ximing Li, Xinhua Wang

Pattern Recognit. Lett., 2019

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

Ximing Li, Ang Zhang, Changchun Li, Lantian Guo, Wenting Wang, Jihong Ouyang

Comput. J., 2019

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

Changchun Li, Jihong Ouyang, Ximing Li

Proceedings of the World Wide Web Conference, 2019

Approximate Optimal Transport for Continuous Densities with Copulas.

Jinjin Chi, Jihong Ouyang, Ximing Li, Yang Wang, Meng Wang

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

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

Ximing Li, Jiaojiao Zhang, Jihong Ouyang

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

2018

Short text topic modeling by exploring original documents.

Ximing Li, Changchun Li, Jinjin Chi, Jihong Ouyang

Knowl. Inf. Syst., 2018

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

Yue-peng Zou, Jihong Ouyang, Ximing Li

Frontiers Inf. Technol. Electron. Eng., 2018

Empirical study on variational inference methods for topic models.

Jinjin Chi, Jihong Ouyang, Ximing Li, Changchun Li

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

Filtering out the noise in short text topic modeling.

Ximing Li, Yue Wang, Ang Zhang, Changchun Li, Jinjin Chi, Jihong Ouyang

Inf. Sci., 2018

Exploring coherent topics by topic modeling with term weighting.

Ximing Li, Ang Zhang, Changchun Li, Jihong Ouyang, Yi Cai

Inf. Process. Manag., 2018

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

Xiaotang Zhou, Jihong Ouyang, Ximing Li

Intell. Data Anal., 2018

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

Xiaotang Zhou, Jihong Ouyang, Ximing Li

Appl. Intell., 2018

Black-box Expectation Propagation for Bayesian Models.

Ximing Li, Changchun Li, Jinjin Chi, Jihong Ouyang, Wenting Wang

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

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

Ximing Li, Changchun Li, Jinjin Chi, Jihong Ouyang

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

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

Ximing Li, Changchun Li, Jinjin Chi, Jihong Ouyang, Chenliang Li

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

2016

Boosting scene understanding by hierarchical pachinko allocation.

Jihong Ouyang, Ximing Li, Hongtu Li

Multim. Tools Appl., 2016

Labelset topic model for multi-label document classification.

Ximing Li, Jihong Ouyang, Xiaotang Zhou

J. Intell. Inf. Syst., 2016

A kernel-based centroid classifier using hypothesis margin.

Ximing Li, Jihong Ouyang, Xiaotang Zhou

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

Tuning the Learning Rate for Stochastic Variational Inference.

Ximing Li, Jihong Ouyang

J. Comput. Sci. Technol., 2016

Sparse Hybrid Variational-Gibbs Algorithm for Latent Dirichlet Allocation.

Ximing Li, Jihong Ouyang, Xiaotang Zhou

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

Integrating Topic Modeling with Word Embeddings by Mixtures of vMFs.

Ximing Li, Jinjin Chi, Changchun Li, Jihong Ouyang, Bo Fu

Proceedings of the COLING 2016, 2016

2015

Centroid prior topic model for multi-label classification.

Ximing Li, Jihong Ouyang, Xiaotang Zhou

Pattern Recognit. Lett., 2015

Topic modeling for large-scale text data.

Ximing Li, Jihong Ouyang, You Lu

Frontiers Inf. Technol. Electron. Eng., 2015

Group topic model: organizing topics into groups.

Ximing Li, Jihong Ouyang, You Lu, Xiaotang Zhou, Tian Tian

Inf. Retr. J., 2015

Supervised topic models for multi-label classification.

Ximing Li, Jihong Ouyang, Xiaotang Zhou

Neurocomputing, 2015

Supervised labeled latent Dirichlet allocation for document categorization.

Ximing Li, Jihong Ouyang, Xiaotang Zhou, You Lu, Yanhui Liu

Appl. Intell., 2015

2014

Adaptive Centroid-Based Clustering Algorithm for Text Document Data.

Ximing Li, Jihong Ouyang, Xiaotang Zhou, Bo Fu

Proceedings of the Sixth International Symposium on Parallel Architectures, 2014

Momentum Online LDA for Large-scale Datasets.

Jihong Ouyang, You Lu, Ximing Li

Proceedings of the ECAI 2014 - 21st European Conference on Artificial Intelligence, 18-22 August 2014, Prague, Czech Republic, 2014