Jihong Ouyang

According to our database, Jihong Ouyang authored at least 81 papers between 2007 and 2025.

Collaborative distances:

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

2025

Model-based diagnosis with low-cost fault identification.

Jihong Ouyang, Sen Huang, Liming Zhang, Xiangfu Zhao

Frontiers Comput. Sci., May, 2025

2024

Exploiting multi-level consistency learning for source-free domain adaptation.

Jihong Ouyang, Zhengjie Zhang, Qingyi Meng, Ximing Li, Jinjin Chi

Multim. Syst., October, 2024

Applying Kumaraswamy distribution on stick-breaking process: a Dirichlet neural topic model approach.

Jihong Ouyang, Teng Wang, Jingyue Cao, Yiming Wang

Neural Comput. Appl., August, 2024

LaRW: boosting open-set semi-supervised learning with label-guided re-weighting.

Jihong Ouyang, Dong Mao, Qingyi Meng

Multim. Tools Appl., 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

What makes sentiment signals work? Sentiment and stance multi-task learning for fake news detection.

Siqi Jiang, Zeqi Guo, Jihong Ouyang

Knowl. Based Syst., 2024

Aspect-based sentiment classification with aspect-specific hypergraph attention networks.

Jihong Ouyang, Chang Xuan, Bing Wang, Zhiyao Yang

Expert Syst. Appl., 2024

WPML3CP: Wasserstein Partial Multi-Label Learning with Dual Label Correlation Perspectives.

Ximing Li, Yuanchao Dai, Bing Wang, Changchun Li, Renchu Guan, Fangming Gu, Jihong Ouyang

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Positive and Unlabeled Learning with Controlled Probability Boundary Fence.

Changchun Li, Yuanchao Dai, Lei Feng, Ximing Li, Bing Wang, Jihong Ouyang

Proceedings of the Forty-first International Conference on Machine Learning, 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

Generalized Variational Inference via Optimal Transport.

Jinjin Chi, Zhichao Zhang, Zhiyao Yang, Jihong Ouyang, Hongbin Pei

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

2023

Pseudo dense counterfactual augmentation for aspect-based sentiment analysis.

Jihong Ouyang, Shi Feng, Bing Wang, Zhiyao Yang

Neurocomputing, December, 2023

Supervised contrastive learning with corrected labels for noisy label learning.

Jihong Ouyang, Chenyang Lu, Bing Wang, Changchun Li

Appl. Intell., December, 2023

Deep transition network with gating mechanism for multivariate time series forecasting.

Yimeng Wang, Shi Feng, Bing Wang, Jihong Ouyang

Appl. Intell., October, 2023

Contrastive self-supervised learning for diabetic retinopathy early detection.

Jihong Ouyang, Dong Mao, Zeqi Guo, Siguang Liu, Dong Xu, Wenting Wang

Medical Biol. Eng. Comput., September, 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

Few-Shot Directed Meta-Learning for Image Classification.

Jihong Ouyang, Ganghai Duan, Siguang Liu

Int. J. Pattern Recognit. Artif. Intell., January, 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 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

Aspect-based sentiment analysis with attention-assisted graph and variational sentence representation.

Shi Feng, Bing Wang, Zhiyao Yang, Jihong Ouyang

Knowl. Based Syst., 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

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

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

Low Cost Edge Sensing for High Quality Demosaicking.

Yan Niu, Jihong Ouyang, Wanli Zuo, Fuxin Wang

IEEE Trans. Image Process., 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

A Novel Medical Image Edge Detection Method Based on Reinforcement Learning and Ant Colony Optimization.

Xinhua Wang, Jihong Ouyang, Yungang Zhu, Haibo Yu, Helong Li

J. Medical Imaging Health Informatics, 2019

Cross-Channel Correlation Preserved Three-Stream Lightweight CNNs for Demosaicking.

Yan Niu, Jihong Ouyang

CoRR, 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

A novel kernel extreme learning machine algorithm based on self-adaptive artificial bee colony optimisation strategy.

Chao Ma, Jihong Ouyang, Hui-Ling Chen, Jinchao Ji

Int. J. Syst. Sci., 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

A survey of qualitative spatial representations.

Juan Chen, Anthony G. Cohn, Dayou Liu, Sheng-Sheng Wang, Jihong Ouyang, Qiangyuan Yu

Knowl. Eng. Rev., 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

Simplifying Calculation of Graph Similarity Through Matrices.

Xu Wang, Jihong Ouyang, Guifen Chen

Proceedings of the Computer and Computing Technologies in Agriculture IX, 2015

2014

An Efficient Diagnosis System for Parkinson's Disease Using Kernel-Based Extreme Learning Machine with Subtractive Clustering Features Weighting Approach.

Chao Ma, Jihong Ouyang, Hui-Ling Chen, Xuehua Zhao

Comput. Math. Methods Medicine, 2014

Hybrid improved gravitional search algorithm and kernel based extreme learning machine method for classification problems.

Chao Ma, Jihong Ouyang, Jian Guan

Proceedings of the Proceedings IEEE International Conference on Security, 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

2013

Curve length estimation based on cubic spline interpolation in gray-scale images.

Zhenxin Wang, Jihong Ouyang

J. Zhejiang Univ. Sci. C, 2013

2012

A Computer Aided Diagnosis System for Thyroid Disease Using Extreme Learning Machine.

Li-Na Li, Jihong Ouyang, Hui-Ling Chen, Dayou Liu

J. Medical Syst., 2012

Representation for topological relations of four simple regions.

Jian Li, Jihong Ouyang, Zhenxin Wang

Proceedings of the 9th International Conference on Fuzzy Systems and Knowledge Discovery, 2012

2011

Finding similar and discriminative parts of deformable shape classes.

Zhenxin Wang, Jihong Ouyang, Zeyang Liu, Xueyan Li

Proceedings of the Seventh International Conference on Natural Computation, 2011

A new model for topological relations between convex regions.

Jihong Ouyang, Ke Ma, Ling Ma

Proceedings of the Eighth International Conference on Fuzzy Systems and Knowledge Discovery, 2011

A Heuristic Genetic Process Mining Algorithm.

Jiafei Li, Jihong Ouyang, Mingyong Feng

Proceedings of the Seventh International Conference on Computational Intelligence and Security, 2011

A new hybrid collective classification method based on random walk and link pattern.

Li-Na Li, Jihong Ouyang, Dayou Liu, Hong Qi, Huiling Chen

Proceedings of the 2011 IEEE International Conference on Cloud Computing and Intelligence Systems, 2011

2007

A Model for Representing Topological Relations Between Simple Concave Regions.

Jihong Ouyang, Qian Fu, Dayou Liu

Proceedings of the Computational Science, 2007