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2020 – today
- 2025
[j47]Jihong Ouyang, Sen Huang, Liming Zhang, Xiangfu Zhao:
Model-based diagnosis with low-cost fault identification. Frontiers Comput. Sci. 19(5): 195333 (2025)- [j46]Jihong Ouyang, Sen Huang, Jinjin Chi, Liming Zhang:
DVRE: dominator-based variables reduction of encoding for model-based diagnosis. Frontiers Comput. Sci. 19(7): 197349 (2025) - [j45]Jihong Ouyang, Qingyi Meng, Ximing Li, Zhengjie Zhang, Changchun Li, Wenting Wang
:
Closed loop networks for open-set semi-supervised learning. Inf. Sci. 699: 121788 (2025) - 2024
- [j44]Jihong Ouyang, Chang Xuan, Bing Wang, Zhiyao Yang:
Aspect-based sentiment classification with aspect-specific hypergraph attention networks. Expert Syst. Appl. 248: 123412 (2024) - [j43]Siqi Jiang, Zeqi Guo, Jihong Ouyang:
What makes sentiment signals work? Sentiment and stance multi-task learning for fake news detection. Knowl. Based Syst. 303: 112395 (2024) - [j42]Jihong Ouyang, Zhengjie Zhang, Qingyi Meng, Ximing Li, Jinjin Chi:
Exploiting multi-level consistency learning for source-free domain adaptation. Multim. Syst. 30(5): 248 (2024) - [j41]Jihong Ouyang, Zhengjie Zhang, Qingyi Meng, Ximing Li, Dang Ngoc Hoang Thanh:
Adaptive prototype and consistency alignment for semi-supervised domain adaptation. Multim. Tools Appl. 83(3): 9307-9328 (2024) - [j40]Jihong Ouyang, Dong Mao, Qingyi Meng:
LaRW: boosting open-set semi-supervised learning with label-guided re-weighting. Multim. Tools Appl. 83(15): 46419-46437 (2024) - [j39]Jihong Ouyang, Teng Wang, Jingyue Cao, Yiming Wang:
Applying Kumaraswamy distribution on stick-breaking process: a Dirichlet neural topic model approach. Neural Comput. Appl. 36(22): 13731-13744 (2024) - [c33]Jinjin Chi, Zhichao Zhang, Zhiyao Yang, Jihong Ouyang, Hongbin Pei:
Generalized Variational Inference via Optimal Transport. AAAI 2024: 11534-11542 - [c32]Jihong Ouyang, Zhiyao Yang, Silong Liang, Bing Wang, Yimeng Wang, Ximing Li:
Aspect-Based Sentiment Analysis with Explicit Sentiment Augmentations. AAAI 2024: 18842-18850 - [c31]Changchun Li, Yuanchao Dai, Lei Feng, Ximing Li, Bing Wang, Jihong Ouyang:
Positive and Unlabeled Learning with Controlled Probability Boundary Fence. ICML 2024 - [c30]Ximing Li, Yuanchao Dai, Bing Wang, Changchun Li, Renchu Guan, Fangming Gu, Jihong Ouyang:
WPML3CP: Wasserstein Partial Multi-Label Learning with Dual Label Correlation Perspectives. IJCAI 2024: 4479-4487 - 2023
- [j38]Yimeng Wang, Shi Feng, Bing Wang, Jihong Ouyang:
Deep transition network with gating mechanism for multivariate time series forecasting. Appl. Intell. 53(20): 24346-24359 (2023) - [j37]Jihong Ouyang, Chenyang Lu, Bing Wang, Changchun Li:
Supervised contrastive learning with corrected labels for noisy label learning. Appl. Intell. 53(23): 29378-29392 (2023) - [j36]Jihong Ouyang, Shi Feng, Bing Wang, Zhiyao Yang:
Pseudo dense counterfactual augmentation for aspect-based sentiment analysis. Neurocomputing 561: 126869 (2023) - [j35]Jihong Ouyang, Ganghai Duan, Siguang Liu:
Few-Shot Directed Meta-Learning for Image Classification. Int. J. Pattern Recognit. Artif. Intell. 37(1): 2251017:1-2251017:18 (2023) - [j34]Zhiyao Yang, Bing Wang, Ximing Li, Wenting Wang, Jihong Ouyang:
S3map: Semisupervised aspect-based sentiment analysis with masked aspect prediction. Knowl. Based Syst. 269: 110513 (2023) - [j33]Jihong Ouyang, Dong Mao, Zeqi Guo, Siguang Liu, Dong Xu, Wenting Wang:
Contrastive self-supervised learning for diabetic retinopathy early detection. Medical Biol. Eng. Comput. 61(9): 2441-2452 (2023) - [j32]Ximing Li, Bing Wang, Yue Wang, Jihong Ouyang, Harish Garg, Dang N. H. Thanh:
Weakly supervised prototype topic model with discriminative seed words: modifying the category prior by self-exploring supervised signals. Soft Comput. 27(9): 5397-5410 (2023) - [c29]Jinjin Chi, Zhiyao Yang, Ximing Li, Jihong Ouyang, Renchu Guan:
Variational Wasserstein Barycenters with C-cyclical Monotonicity Regularization. AAAI 2023: 7157-7165 - [c28]Ximing Li, Yuanzhi Jiang, Changchun Li, Yiyuan Wang, Jihong Ouyang:
Learning with Partial Labels from Semi-supervised Perspective. AAAI 2023: 8666-8674 - [c27]Jihong Ouyang, Zhiyao Yang, Chang Xuan, Bing Wang, Yiyuan Wang, Ximing Li:
Unsupervised Aspect Term Extraction by Integrating Sentence-level Curriculum Learning with Token-level Self-paced Learning. CIKM 2023: 1982-1991 - [i7]Jihong Ouyang, Zhiyao Yang, Silong Liang, Bing Wang, Yimeng Wang, Ximing Li:
Aspect-Based Sentiment Analysis with Explicit Sentiment Augmentations. CoRR abs/2312.10961 (2023) - 2022
- [j31]Jinjin Chi, Bilin Wang, Huiling Chen, Lejun Zhang, Ximing Li, Jihong Ouyang:
Approximate continuous optimal transport with copulas. Int. J. Intell. Syst. 37(8): 5354-5380 (2022) - [j30]Jinjin Chi, Jihong Ouyang, Ang Zhang, Xinhua Wang, Ximing Li:
Fast copula variational inference. J. Exp. Theor. Artif. Intell. 34(2): 295-310 (2022) - [j29]Ximing Li, Changchun Li, Jinjin Chi, Jihong Ouyang:
Approximate posterior inference for Bayesian models: black-box expectation propagation. Knowl. Inf. Syst. 64(9): 2361-2387 (2022) - [j28]Shi Feng, Bing Wang, Zhiyao Yang, Jihong Ouyang:
Aspect-based sentiment analysis with attention-assisted graph and variational sentence representation. Knowl. Based Syst. 258: 109975 (2022) - [j27]Yiming Wang, Ximing Li, Jihong Ouyang, Zeqi Guo, Yimeng Wang:
Extracting nonlinear neural topics with neural variational bayes. World Wide Web 25(1): 131-149 (2022) - [c26]Changchun Li, Ximing Li, Lei Feng, Jihong Ouyang:
Who Is Your Right Mixup Partner in Positive and Unlabeled Learning. ICLR 2022 - [c25]Jihong Ouyang, Yiming Wang, Ximing Li, Changchun Li:
Weakly-supervised Text Classification with Wasserstein Barycenters Regularization. IJCAI 2022: 3373-3379 - [i6]Ximing Li, Yuanzhi Jiang, Changchun Li, Yiyuan Wang, Jihong Ouyang:
Learning with Partial Labels from Semi-supervised Perspective. CoRR abs/2211.13655 (2022) - 2021
- [j26]Ximing Li, Yang Wang, Jihong Ouyang, Meng Wang:
Topic extraction from extremely short texts with variational manifold regularization. Mach. Learn. 110(5): 1029-1066 (2021) - [c24]Changchun Li, Ximing Li, Jihong Ouyang:
Semi-Supervised Text Classification with Balanced Deep Representation Distributions. ACL/IJCNLP (1) 2021: 5044-5053 - [c23]Changchun Li, Ximing Li, Jihong Ouyang, Yiming Wang:
Detecting the Fake Candidate Instances: Ambiguous Label Learning with Generative Adversarial Networks. CIKM 2021: 903-912 - [c22]Yiming Wang, Ximing Li, Xiaotang Zhou, Jihong Ouyang:
Extracting Topics with Simultaneous Word Co-occurrence and Semantic Correlation Graphs: Neural Topic Modeling for Short Texts. EMNLP (Findings) 2021: 18-27 - [c21]Yiming Wang, Ximing Li, Jihong Ouyang:
Layer-Assisted Neural Topic Modeling over Document Networks. IJCAI 2021: 3148-3154 - [i5]Jinjin Chi, Zhiyao Yang, Jihong Ouyang, Ximing Li:
Variational Wasserstein Barycenters with c-Cyclical Monotonicity. CoRR abs/2110.11707 (2021) - [i4]Bing Wang, Yue Wang, Ximing Li, Jihong Ouyang:
Weakly Supervised Prototype Topic Model with Discriminative Seed Words: Modifying the Category Prior by Self-exploring Supervised Signals. CoRR abs/2112.03009 (2021) - 2020
- [c20]Changchun Li, Ximing Li, Jihong Ouyang:
Learning with Noisy Partial Labels by Simultaneously Leveraging Global and Local Consistencies. CIKM 2020: 725-734 - [c19]Changchun Li, Ximing Li, Jihong Ouyang, Yiming Wang:
Semantics-assisted Wasserstein Learning for Topic and Word Embeddings. ICDM 2020: 292-301
2010 – 2019
- 2019
- [j25]Ximing Li, Ang Zhang, Changchun Li, Lantian Guo, Wenting Wang, Jihong Ouyang:
Relational Biterm Topic Model: Short-Text Topic Modeling using Word Embeddings. Comput. J. 62(3): 359-372 (2019) - [j24]Xinhua Wang, Jihong Ouyang, Yungang Zhu, Haibo Yu, Helong Li:
A Novel Medical Image Edge Detection Method Based on Reinforcement Learning and Ant Colony Optimization. J. Medical Imaging Health Informatics 9(1): 175-182 (2019) - [j23]Jinjin Chi, Jihong Ouyang, Changchun Li, Xueyang Dong, Ximing Li, Xinhua Wang:
Topic representation: Finding more representative words in topic models. Pattern Recognit. Lett. 123: 53-60 (2019) - [j22]Yan Niu, Jihong Ouyang, Wanli Zuo, Fuxin Wang:
Low Cost Edge Sensing for High Quality Demosaicking. IEEE Trans. Image Process. 28(5): 2415-2427 (2019) - [c18]Ximing Li, Jiaojiao Zhang, Jihong Ouyang:
Dirichlet Multinomial Mixture with Variational Manifold Regularization: Topic Modeling over Short Texts. AAAI 2019: 7884-7891 - [c17]Jinjin Chi, Jihong Ouyang, Ximing Li, Yang Wang, Meng Wang:
Approximate Optimal Transport for Continuous Densities with Copulas. IJCAI 2019: 2165-2171 - [c16]Changchun Li, Jihong Ouyang, Ximing Li:
Classifying Extremely Short Texts by Exploiting Semantic Centroids in Word Mover's Distance Space. WWW 2019: 939-949 - [i3]Yan Niu, Jihong Ouyang:
Cross-Channel Correlation Preserved Three-Stream Lightweight CNNs for Demosaicking. CoRR abs/1906.09884 (2019) - 2018
- [j21]Xiaotang Zhou, Jihong Ouyang, Ximing Li:
Two time-efficient gibbs sampling inference algorithms for biterm topic model. Appl. Intell. 48(3): 730-754 (2018) - [j20]Xiaotang Zhou, Jihong Ouyang, Ximing Li:
A more time-efficient gibbs sampling algorithm based on SparseLDA for latent dirichlet allocation. Intell. Data Anal. 22(6): 1227-1257 (2018) - [j19]Ximing Li, Ang Zhang, Changchun Li, Jihong Ouyang, Yi Cai:
Exploring coherent topics by topic modeling with term weighting. Inf. Process. Manag. 54(6): 1345-1358 (2018) - [j18]Ximing Li, Yue Wang, Ang Zhang, Changchun Li, Jinjin Chi, Jihong Ouyang:
Filtering out the noise in short text topic modeling. Inf. Sci. 456: 83-96 (2018) - [j17]Jinjin Chi, Jihong Ouyang, Ximing Li, Changchun Li:
Empirical study on variational inference methods for topic models. J. Exp. Theor. Artif. Intell. 30(1): 129-142 (2018) - [j16]Yue-peng Zou, Jihong Ouyang, Ximing Li:
Supervised topic models with weighted words: multi-label document classification. Frontiers Inf. Technol. Electron. Eng. 19(4): 513-523 (2018) - [j15]Ximing Li, Changchun Li, Jinjin Chi, Jihong Ouyang:
Short text topic modeling by exploring original documents. Knowl. Inf. Syst. 56(2): 443-462 (2018) - [c15]Ximing Li, Changchun Li, Jinjin Chi, Jihong Ouyang, Chenliang Li:
Dataless Text Classification: A Topic Modeling Approach with Document Manifold. CIKM 2018: 973-982 - [c14]Ximing Li, Changchun Li, Jinjin Chi, Jihong Ouyang:
Variance Reduction in Black-box Variational Inference by Adaptive Importance Sampling. IJCAI 2018: 2404-2410 - [c13]Ximing Li, Changchun Li, Jinjin Chi, Jihong Ouyang, Wenting Wang:
Black-box Expectation Propagation for Bayesian Models. SDM 2018: 603-611 - [i2]Yan Niu, Jihong Ouyang, Wanli Zuo, Fuxin Wang:
Low Cost Edge Sensing for High Quality Demosaicking. CoRR abs/1806.00771 (2018) - [i1]Jinjin Chi, Jihong Ouyang, Changchun Li, Xueyang Dong, Ximing Li, Xinhua Wang:
Topic representation: finding more representative words in topic models. CoRR abs/1810.10307 (2018) - 2016
- [j14]Chao Ma, Jihong Ouyang, Hui-Ling Chen, Jinchao Ji:
A novel kernel extreme learning machine algorithm based on self-adaptive artificial bee colony optimisation strategy. Int. J. Syst. Sci. 47(6): 1342-1357 (2016) - [j13]Ximing Li, Jihong Ouyang:
Tuning the Learning Rate for Stochastic Variational Inference. J. Comput. Sci. Technol. 31(2): 428-436 (2016) - [j12]Ximing Li, Jihong Ouyang, Xiaotang Zhou:
A kernel-based centroid classifier using hypothesis margin. J. Exp. Theor. Artif. Intell. 28(6): 955-969 (2016) - [j11]Ximing Li, Jihong Ouyang, Xiaotang Zhou:
Labelset topic model for multi-label document classification. J. Intell. Inf. Syst. 46(1): 83-97 (2016) - [j10]Jihong Ouyang, Ximing Li, Hongtu Li:
Boosting scene understanding by hierarchical pachinko allocation. Multim. Tools Appl. 75(20): 12581-12595 (2016) - [c12]Ximing Li, Jinjin Chi, Changchun Li, Jihong Ouyang, Bo Fu:
Integrating Topic Modeling with Word Embeddings by Mixtures of vMFs. COLING 2016: 151-160 - [c11]Ximing Li, Jihong Ouyang, Xiaotang Zhou:
Sparse Hybrid Variational-Gibbs Algorithm for Latent Dirichlet Allocation. SDM 2016: 729-737 - 2015
- [j9]Ximing Li, Jihong Ouyang, Xiaotang Zhou, You Lu, Yanhui Liu:
Supervised labeled latent Dirichlet allocation for document categorization. Appl. Intell. 42(3): 581-593 (2015) - [j8]Ximing Li, Jihong Ouyang, Xiaotang Zhou:
Supervised topic models for multi-label classification. Neurocomputing 149: 811-819 (2015) - [j7]Ximing Li, Jihong Ouyang, You Lu, Xiaotang Zhou, Tian Tian:
Group topic model: organizing topics into groups. Inf. Retr. J. 18(1): 1-25 (2015) - [j6]Ximing Li, Jihong Ouyang, You Lu:
Topic modeling for large-scale text data. Frontiers Inf. Technol. Electron. Eng. 16(6): 457-465 (2015) - [j5]Juan Chen, Anthony G. Cohn, Dayou Liu, Sheng-Sheng Wang, Jihong Ouyang, Qiangyuan Yu:
A survey of qualitative spatial representations. Knowl. Eng. Rev. 30(1): 106-136 (2015) - [j4]Ximing Li, Jihong Ouyang, Xiaotang Zhou:
Centroid prior topic model for multi-label classification. Pattern Recognit. Lett. 62: 8-13 (2015) - [c10]Xu Wang, Jihong Ouyang, Guifen Chen:
Simplifying Calculation of Graph Similarity Through Matrices. CCTA (2) 2015: 417-428 - 2014
- [j3]Chao Ma, Jihong Ouyang, Hui-Ling Chen, Xuehua Zhao:
An Efficient Diagnosis System for Parkinson's Disease Using Kernel-Based Extreme Learning Machine with Subtractive Clustering Features Weighting Approach. Comput. Math. Methods Medicine 2014: 985789:1-985789:14 (2014) - [c9]Jihong Ouyang, You Lu, Ximing Li:
Momentum Online LDA for Large-scale Datasets. ECAI 2014: 1075-1076 - [c8]Ximing Li, Jihong Ouyang, Xiaotang Zhou, Bo Fu:
Adaptive Centroid-Based Clustering Algorithm for Text Document Data. PAAP 2014: 63-68 - [c7]Chao Ma, Jihong Ouyang, Jian Guan:
Hybrid improved gravitional search algorithm and kernel based extreme learning machine method for classification problems. SPAC 2014: 299-304 - 2013
- [j2]Zhenxin Wang, Jihong Ouyang:
Curve length estimation based on cubic spline interpolation in gray-scale images. J. Zhejiang Univ. Sci. C 14(10): 777-784 (2013) - 2012
- [j1]Li-Na Li, Jihong Ouyang, Hui-Ling Chen, Dayou Liu:
A Computer Aided Diagnosis System for Thyroid Disease Using Extreme Learning Machine. J. Medical Syst. 36(5): 3327-3337 (2012) - [c6]Jian Li, Jihong Ouyang, Zhenxin Wang:
Representation for topological relations of four simple regions. FSKD 2012: 2961-2965 - 2011
- [c5]Li-Na Li, Jihong Ouyang, Dayou Liu, Hong Qi, Huiling Chen:
A new hybrid collective classification method based on random walk and link pattern. CCIS 2011: 60-64 - [c4]Jiafei Li, Jihong Ouyang, Mingyong Feng:
A Heuristic Genetic Process Mining Algorithm. CIS 2011: 15-19 - [c3]Jihong Ouyang, Ke Ma, Ling Ma:
A new model for topological relations between convex regions. FSKD 2011: 1344-1348 - [c2]Zhenxin Wang, Jihong Ouyang, Zeyang Liu, Xueyan Li:
Finding similar and discriminative parts of deformable shape classes. ICNC 2011: 951-954
2000 – 2009
- 2007
- [c1]Jihong Ouyang, Qian Fu, Dayou Liu:
A Model for Representing Topological Relations Between Simple Concave Regions. International Conference on Computational Science (1) 2007: 160-167
Coauthor Index
[j45] [j42] [j41] [c32] [c31] [c30] [j34] [j32] [c29] [c28] [c27] [i7] [j31] [j30] [j29] [j27] [c26] [c25] [i6] [j26] [c24] [c23] [c22] [c21] [i5] [i4] [c20] [c19] [j25] [j23] [c18] [c17] [c16] [j21] [j20] [j19] [j18] [j17] [j16] [j15] [c15] [c14] [c13] [i1] [j13] [j12] [j11] [j10] [c12] [c11] [j9] [j8] [j7] [j6] [j4] [c9] [c8]
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