A Model for Representing Topological Relations Between Simple Concave Regions. - Jihong Ouyang; Qian Fu; Dayou Liu (International Conference on Computational Science (1), 2007)

A new hybrid collective classification method based on random walk and link pattern. - Li-Na Li; Jihong Ouyang; Dayou Liu; Hong Qi; Huiling Chen 001 (CCIS, 2011)

A Heuristic Genetic Process Mining Algorithm. - Jiafei Li; Jihong Ouyang; Mingyong Feng (CIS, 2011)

A new model for topological relations between convex regions. - Jihong Ouyang; Ke Ma; Ling Ma (FSKD, 2011)

Finding similar and discriminative parts of deformable shape classes. - Zhenxin Wang; Jihong Ouyang; Zeyang Liu; Xueyan Li (ICNC, 2011)

Representation for topological relations of four simple regions. - Jian Li; Jihong Ouyang; Zhenxin Wang (FSKD, 2012)

A Computer Aided Diagnosis System for Thyroid Disease Using Extreme Learning Machine. - Li-Na Li; Jihong Ouyang; Hui-Ling Chen 001; Dayou Liu (J. Medical Syst., 2012)

Curve length estimation based on cubic spline interpolation in gray-scale images. - Zhenxin Wang; Jihong Ouyang (J. Zhejiang Univ. Sci. C, 2013)

Momentum Online LDA for Large-scale Datasets. - Jihong Ouyang; You Lu 003; Ximing Li 002 (ECAI, 2014)

Adaptive Centroid-Based Clustering Algorithm for Text Document Data. - Ximing Li 002; Jihong Ouyang; Xiaotang Zhou; Bo Fu 001 (PAAP, 2014)

Hybrid improved gravitional search algorithm and kernel based extreme learning machine method for classification problems. - Chao Ma 021; Jihong Ouyang; Jian Guan (SPAC, 2014)

An Efficient Diagnosis System for Parkinson's Disease Using Kernel-Based Extreme Learning Machine with Subtractive Clustering Features Weighting Approach. - Chao Ma 021; Jihong Ouyang; Hui-Ling Chen 001; Xuehua Zhao (Comput. Math. Methods Medicine, 2014)

Simplifying Calculation of Graph Similarity Through Matrices. - Xu Wang; Jihong Ouyang; Guifen Chen (CCTA (2), 2015)

Supervised labeled latent Dirichlet allocation for document categorization. - Ximing Li 002; Jihong Ouyang; Xiaotang Zhou; You Lu 003; Yanhui Liu (Appl. Intell., 2015)

Supervised topic models for multi-label classification. - Ximing Li 002; Jihong Ouyang; Xiaotang Zhou (Neurocomputing, 2015)

Group topic model: organizing topics into groups. - Ximing Li 002; Jihong Ouyang; You Lu 003; Xiaotang Zhou; Tian Tian (Inf. Retr. J., 2015)

Topic modeling for large-scale text data. - Ximing Li 002; Jihong Ouyang; You Lu 003 (Frontiers Inf. Technol. Electron. Eng., 2015)

A survey of qualitative spatial representations. - Juan Chen 008; Anthony G. Cohn 001; Dayou Liu; Sheng-Sheng Wang 001; Jihong Ouyang; Qiangyuan Yu (Knowl. Eng. Rev., 2015)

Centroid prior topic model for multi-label classification. - Ximing Li 002; Jihong Ouyang; Xiaotang Zhou (Pattern Recognit. Lett., 2015)

Integrating Topic Modeling with Word Embeddings by Mixtures of vMFs. - Ximing Li 002; Jinjin Chi; Changchun Li; Jihong Ouyang; Bo Fu 001 (COLING, 2016)

Sparse Hybrid Variational-Gibbs Algorithm for Latent Dirichlet Allocation. - Ximing Li 002; Jihong Ouyang; Xiaotang Zhou (SDM, 2016)

A novel kernel extreme learning machine algorithm based on self-adaptive artificial bee colony optimisation strategy. - Chao Ma 021; Jihong Ouyang; Hui-Ling Chen 001; Jinchao Ji (Int. J. Syst. Sci., 2016)

Tuning the Learning Rate for Stochastic Variational Inference. - Ximing Li 002; Jihong Ouyang (J. Comput. Sci. Technol., 2016)

A kernel-based centroid classifier using hypothesis margin. - Ximing Li 002; Jihong Ouyang; Xiaotang Zhou (J. Exp. Theor. Artif. Intell., 2016)

Labelset topic model for multi-label document classification. - Ximing Li 002; Jihong Ouyang; Xiaotang Zhou (J. Intell. Inf. Syst., 2016)

Boosting scene understanding by hierarchical pachinko allocation. - Jihong Ouyang; Ximing Li 002; Hongtu Li (Multim. Tools Appl., 2016)

Dataless Text Classification: A Topic Modeling Approach with Document Manifold. - Ximing Li 002; Changchun Li; Jinjin Chi; Jihong Ouyang; Chenliang Li (CIKM, 2018)

Variance Reduction in Black-box Variational Inference by Adaptive Importance Sampling. - Ximing Li 002; Changchun Li; Jinjin Chi; Jihong Ouyang (IJCAI, 2018)

Black-box Expectation Propagation for Bayesian Models. - Ximing Li 002; Changchun Li; Jinjin Chi; Jihong Ouyang; Wenting Wang (SDM, 2018)

Two time-efficient gibbs sampling inference algorithms for biterm topic model. - Xiaotang Zhou; Jihong Ouyang; Ximing Li 002 (Appl. Intell., 2018)

A more time-efficient gibbs sampling algorithm based on SparseLDA for latent dirichlet allocation. - Xiaotang Zhou; Jihong Ouyang; Ximing Li 002 (Intell. Data Anal., 2018)

Exploring coherent topics by topic modeling with term weighting. - Ximing Li 002; Ang Zhang; Changchun Li; Jihong Ouyang; Yi Cai 001 (Inf. Process. Manag., 2018)

Filtering out the noise in short text topic modeling. - Ximing Li 002; Yue Wang; Ang Zhang; Changchun Li; Jinjin Chi; Jihong Ouyang (Inf. Sci., 2018)

Empirical study on variational inference methods for topic models. - Jinjin Chi; Jihong Ouyang; Ximing Li 002; Changchun Li (J. Exp. Theor. Artif. Intell., 2018)

Supervised topic models with weighted words: multi-label document classification. - Yue-peng Zou; Jihong Ouyang; Ximing Li 002 (Frontiers Inf. Technol. Electron. Eng., 2018)

Short text topic modeling by exploring original documents. - Ximing Li 002; Changchun Li; Jinjin Chi; Jihong Ouyang (Knowl. Inf. Syst., 2018)

Dirichlet Multinomial Mixture with Variational Manifold Regularization: Topic Modeling over Short Texts. - Ximing Li 002; Jiaojiao Zhang; Jihong Ouyang (AAAI, 2019)

Approximate Optimal Transport for Continuous Densities with Copulas. - Jinjin Chi; Jihong Ouyang; Ximing Li 002; Yang Wang 023; Meng Wang 001 (IJCAI, 2019)

Classifying Extremely Short Texts by Exploiting Semantic Centroids in Word Mover's Distance Space. - Changchun Li; Jihong Ouyang; Ximing Li 002 (WWW, 2019)

Relational Biterm Topic Model: Short-Text Topic Modeling using Word Embeddings. - Ximing Li 002; Ang Zhang; Changchun Li; Lantian Guo; Wenting Wang; Jihong Ouyang (Comput. J., 2019)

Cross-Channel Correlation Preserved Three-Stream Lightweight CNNs for Demosaicking. - Yan Niu; Jihong Ouyang (CoRR, 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)

Topic representation: Finding more representative words in topic models. - Jinjin Chi; Jihong Ouyang; Changchun Li; Xueyang Dong; Ximing Li 002; Xinhua Wang (Pattern Recognit. Lett., 2019)

Low Cost Edge Sensing for High Quality Demosaicking. - Yan Niu; Jihong Ouyang; Wanli Zuo; Fuxin Wang (IEEE Trans. Image Process., 2019)

Learning with Noisy Partial Labels by Simultaneously Leveraging Global and Local Consistencies. - Changchun Li; Ximing Li 002; Jihong Ouyang (CIKM, 2020)

Semantics-assisted Wasserstein Learning for Topic and Word Embeddings. - Changchun Li; Ximing Li 002; Jihong Ouyang; Yiming Wang (ICDM, 2020)

Semi-Supervised Text Classification with Balanced Deep Representation Distributions. - Changchun Li; Ximing Li 002; Jihong Ouyang (ACL/IJCNLP (1), 2021)

Detecting the Fake Candidate Instances: Ambiguous Label Learning with Generative Adversarial Networks. - Changchun Li; Ximing Li 002; Jihong Ouyang; Yiming Wang (CIKM, 2021)

Extracting Topics with Simultaneous Word Co-occurrence and Semantic Correlation Graphs: Neural Topic Modeling for Short Texts. - Yiming Wang; Ximing Li 002; Xiaotang Zhou; Jihong Ouyang (EMNLP (Findings), 2021)

Layer-Assisted Neural Topic Modeling over Document Networks. - Yiming Wang; Ximing Li 002; Jihong Ouyang (IJCAI, 2021)

Variational Wasserstein Barycenters with c-Cyclical Monotonicity. - Jinjin Chi; Zhiyao Yang; Jihong Ouyang; Ximing Li 002 (CoRR, 2021)

Weakly Supervised Prototype Topic Model with Discriminative Seed Words: Modifying the Category Prior by Self-exploring Supervised Signals. - Bing Wang 018; Yue Wang; Ximing Li 002; Jihong Ouyang (CoRR, 2021)

Topic extraction from extremely short texts with variational manifold regularization. - Ximing Li 002; Yang Wang 023; Jihong Ouyang; Meng Wang 001 (Mach. Learn., 2021)

Who Is Your Right Mixup Partner in Positive and Unlabeled Learning. - Changchun Li; Ximing Li 002; Lei Feng 006; Jihong Ouyang (ICLR, 2022)

Weakly-supervised Text Classification with Wasserstein Barycenters Regularization. - Jihong Ouyang; Yiming Wang; Ximing Li 002; Changchun Li (IJCAI, 2022)

Approximate continuous optimal transport with copulas. - Jinjin Chi; Bilin Wang; Huiling Chen 001; Lejun Zhang; Ximing Li 002; Jihong Ouyang (Int. J. Intell. Syst., 2022)

Fast copula variational inference. - Jinjin Chi; Jihong Ouyang; Ang Zhang; Xinhua Wang; Ximing Li 002 (J. Exp. Theor. Artif. Intell., 2022)

Approximate posterior inference for Bayesian models: black-box expectation propagation. - Ximing Li 002; Changchun Li; Jinjin Chi; Jihong Ouyang (Knowl. Inf. Syst., 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)

Extracting nonlinear neural topics with neural variational bayes. - Yiming Wang; Ximing Li 002; Jihong Ouyang; Zeqi Guo; Yimeng Wang (World Wide Web, 2022)

Variational Wasserstein Barycenters with C-cyclical Monotonicity Regularization. - Jinjin Chi; Zhiyao Yang; Ximing Li 002; Jihong Ouyang; Renchu Guan (AAAI, 2023)

Learning with Partial Labels from Semi-supervised Perspective. - Ximing Li 002; Yuanzhi Jiang; Changchun Li; Yiyuan Wang 002; Jihong Ouyang (AAAI, 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 018; Yiyuan Wang 002; Ximing Li 002 (CIKM, 2023)

S3map: Semisupervised aspect-based sentiment analysis with masked aspect prediction. - Zhiyao Yang; Bing Wang 018; Ximing Li 002; Wenting Wang; Jihong Ouyang (Knowl. Based Syst., 2023)

Few-Shot Directed Meta-Learning for Image Classification. - Jihong Ouyang; Ganghai Duan; Siguang Liu (Int. J. Pattern Recognit. Artif. Intell., 2023)

Weakly supervised prototype topic model with discriminative seed words: modifying the category prior by self-exploring supervised signals. - Ximing Li 002; Bing Wang 018; Yue Wang; Jihong Ouyang; Harish Garg; Dang N. H. Thanh (Soft Comput., 2023)

Contrastive self-supervised learning for diabetic retinopathy early detection. - Jihong Ouyang; Dong Mao; Zeqi Guo; Siguang Liu; Dong Xu 002; Wenting Wang (Medical Biol. Eng. Comput., 2023)

Deep transition network with gating mechanism for multivariate time series forecasting. - Yimeng Wang; Shi Feng; Bing Wang; Jihong Ouyang (Appl. Intell., 2023)

Supervised contrastive learning with corrected labels for noisy label learning. - Jihong Ouyang; Chenyang Lu 008; Bing Wang 018; Changchun Li (Appl. Intell., 2023)

Pseudo dense counterfactual augmentation for aspect-based sentiment analysis. - Jihong Ouyang; Shi Feng; Bing Wang; Zhiyao Yang (Neurocomputing, 2023)

Generalized Variational Inference via Optimal Transport. - Jinjin Chi; Zhichao Zhang; Zhiyao Yang; Jihong Ouyang; Hongbin Pei (AAAI, 2024)

Aspect-Based Sentiment Analysis with Explicit Sentiment Augmentations. - Jihong Ouyang; Zhiyao Yang; Silong Liang; Bing Wang 018; Yimeng Wang; Ximing Li 002 (AAAI, 2024)

Positive and Unlabeled Learning with Controlled Probability Boundary Fence. - Changchun Li; Yuanchao Dai; Lei Feng 006; Ximing Li 002; Bing Wang 018; Jihong Ouyang (ICML, 2024)

WPML3CP: Wasserstein Partial Multi-Label Learning with Dual Label Correlation Perspectives. - Ximing Li 002; Yuanchao Dai; Bing Wang 018; Changchun Li; Renchu Guan; Fangming Gu; Jihong Ouyang (IJCAI, 2024)

Aspect-based sentiment classification with aspect-specific hypergraph attention networks. - Jihong Ouyang; Chang Xuan; Bing Wang; Zhiyao Yang (Expert Syst. Appl., 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)

Adaptive prototype and consistency alignment for semi-supervised domain adaptation. - Jihong Ouyang; Zhengjie Zhang; Qingyi Meng; Ximing Li 002; Dang Ngoc Hoang Thanh (Multim. Tools Appl., 2024)

LaRW: boosting open-set semi-supervised learning with label-guided re-weighting. - Jihong Ouyang; Dong Mao; Qingyi Meng (Multim. Tools Appl., 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., 2024)

Exploiting multi-level consistency learning for source-free domain adaptation. - Jihong Ouyang; Zhengjie Zhang; Qingyi Meng; Ximing Li 002; Jinjin Chi (Multim. Syst., 2024)

Task-oriented Multi-domain Adversarial Network for fake news detection. - Zeqi Guo; Jihong Ouyang; Ximing Li 002; Changchun Li (Appl. Soft Comput., 2025)

Structure-Based Uncertainty Estimation for Source-Free Active Domain Adaptation. - Jihong Ouyang; Zhengjie Zhang; Qingyi Meng; Jinjin Chi (IET Comput. Vis., 2025)

Closed loop networks for open-set semi-supervised learning. - Jihong Ouyang; Qingyi Meng; Ximing Li 002; Zhengjie Zhang; Changchun Li; Wenting Wang (Inf. Sci., 2025)

Model-based diagnosis with low-cost fault identification. - Jihong Ouyang; Sen Huang; Liming Zhang; Xiangfu Zhao (Frontiers Comput. Sci., 2025)

DVRE: dominator-based variables reduction of encoding for model-based diagnosis. - Jihong Ouyang; Sen Huang; Jinjin Chi; Liming Zhang (Frontiers Comput. Sci., 2025)