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)

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)

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)

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 salt and pepper noise image denoising method based on the generative classification. - Bo Fu 001; Xiao-Yang Zhao 003; Yong-Gong Ren; Ximing Li 002; Xiang-Hai Wang 001 (CoRR, 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)

A salt and pepper noise image denoising method based on the generative classification. - Bo Fu 001; Xiaoyang Zhao 003; Chuanming Song 001; Ximing Li 002; Xiang-Hai Wang 001 (Multim. Tools Appl., 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)

Reduction and Local Search for Weighted Graph Coloring Problem. - Yiyuan Wang 002; Shaowei Cai 001; Shiwei Pan; Ximing Li 002; Minghao Yin (AAAI, 2020)

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)

Recovering Accurate Labeling Information from Partially Valid Data for Effective Multi-Label Learning. - Ximing Li 002; Yang Wang 023 (IJCAI, 2020)

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

VPALG: Paper-publication Prediction with Graph Neural Networks. - Renchu Guan; Yonghao Liu 001; Xiaoyue Feng; Ximing Li 002 (CIKM, 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)

RMoR-Aion: Robust Multioutput Regression by Simultaneously Alleviating Input and Output Noises. - Ximing Li 002; Yang Wang 023; Zhao Zhang 001; Richang Hong; Li Zhuo 001; Meng Wang 001 (IEEE Trans. Neural Networks Learn. Syst., 2021)

Consistent, Balanced, and Overlapping Label Trees for Extreme Multi-label Learning. - Zhiqi Ge; Yuanyuan Guan; Ximing Li 002; Bo Fu 001 (CIKM, 2022)

A Contrastive Cross-Channel Data Augmentation Framework for Aspect-Based Sentiment Analysis. - Bing Wang 018; Liang Ding 006; Qihuang Zhong; Ximing Li 002; Dacheng Tao (COLING, 2022)

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)

Deployable and Continuable Meta-learning-Based Recommender System with Fast User-Incremental Updates. - Renchu Guan; Haoyu Pang; Fausto Giunchiglia; Ximing Li 002; Xuefeng Yang; Xiaoyue Feng (SIGIR, 2022)

Few-shot Node Classification on Attributed Networks with Graph Meta-learning. - Yonghao Liu 001; Mengyu Li; Ximing Li 002; Fausto Giunchiglia; Xiaoyue Feng; Renchu Guan (SIGIR, 2022)

PNMTA: A Pretrained Network Modulation and Task Adaptation Approach for User Cold-Start Recommendation. - Haoyu Pang; Fausto Giunchiglia; Ximing Li 002; Renchu Guan; Xiaoyue Feng (WWW, 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)

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)

Weakly Supervised Regression with Interval Targets. - Xin Cheng 007; Yuzhou Cao; Ximing Li 002; Bo An 001; Lei Feng 006 (ICML, 2023)

Local and Global: Temporal Question Answering via Information Fusion. - Yonghao Liu 001; Di Liang; Mengyu Li; Fausto Giunchiglia; Ximing Li 002; Sirui Wang; Wei Wu; Lan Huang 002; Xiaoyue Feng; Renchu Guan (IJCAI, 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)

Learning with partial multi-labeled data by leveraging low-rank constraint and decomposition. - Ying Wang; Yuanyuan Guan; Bing Wang 018; Ximing Li 002 (Appl. 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)

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

Why Misinformation is Created? Detecting them by Integrating Intent Features. - Bing Wang 018; Ximing Li 002; Changchun Li; Bo Fu 001; Songwen Pei; Shengsheng Wang 001 (CIKM, 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)

Resolving Word Vagueness with Scenario-guided Adapter for Natural Language Inference. - Yonghao Liu 001; Mengyu Li; Di Liang; Ximing Li 002; Fausto Giunchiglia; Lan Huang 002; Xiaoyue Feng; Renchu Guan (IJCAI, 2024)

Nukplex: An Efficient Local Search Algorithm for Maximum K-Plex Problem. - Rui Sun; Yiyuan Wang 002; Shimao Wang; Hui Li 014; Ximing Li 002; Minghao Yin (IJCAI, 2024)

Harmfully Manipulated Images Matter in Multimodal Misinformation Detection. - Bing Wang 018; Shengsheng Wang 001; Changchun Li; Renchu Guan; Ximing Li 002 (ACM Multimedia, 2024)

Semi-supervised Multi-label Learning with Balanced Binary Angular Margin Loss. - Ximing Li 002; Silong Liang; Changchun Li; Pengfei Wang; Fangming Gu (NeurIPS, 2024)

A Simple but Effective Approach for Unsupervised Few-Shot Graph Classification. - Yonghao Liu 001; Lan Huang 002; Bowen Cao; Ximing Li 002; Fausto Giunchiglia; Xiaoyue Feng; Renchu Guan (WWW, 2024)

Escaping the neutralization effect of modality features fusion in multimodal Fake News Detection. - Bing Wang 018; Ximing Li 002; Changchun Li; Shengsheng Wang 001; Wanfu Gao (Inf. Fusion, 2024)

Unsupervised Sentence Representation Learning with Frequency-induced Adversarial tuning and Incomplete sentence filtering. - Bing Wang 018; Ximing Li 002; Zhiyao Yang; Yuanyuan Guan; Jiayin Li; Sheng-Sheng Wang 001 (Neural Networks, 2024)

Uncertainty-Aware Sparse Transformer Network for Single-Image Deraindrop. - Bo Fu 001; Yunyun Jiang; Di Wang 018; Jiaxin Gao; Cong Wang 018; Ximing Li 002 (IEEE Trans. Instrum. Meas., 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)

Graph-based Text Classification by Contrastive Learning with Text-level Graph Augmentation. - Ximing Li 002; Bing Wang 018; Yang Wang 023; Meng Wang 001 (ACM Trans. Knowl. Discov. Data, 2024)

Eliminating Negative Word Similarities for Measuring Document Distances: A Thoroughly Empirical Study on Word Mover's Distance. - Bo Cheng; Ximing Li 002; Yi Chang 001 (IEEE Trans. Neural Networks Learn. Syst., 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)

Meta-GPS++: Enhancing Graph Meta-Learning with Contrastive Learning and Self-Training. - Yonghao Liu 001; Mengyu Li; Ximing Li 002; Lan Huang 002; Fausto Giunchiglia; Yanchun Liang 001; Xiaoyue Feng; Renchu Guan (ACM Trans. Knowl. Discov. Data, 2024)

A Simple Graph Contrastive Learning Framework for Short Text Classification. - Yonghao Liu 001; Fausto Giunchiglia; Lan Huang 002; Ximing Li 002; Xiaoyue Feng; Renchu Guan (AAAI, 2025)

Utterance-level Emotion Recognition in Conversation with Conversation-level Supervision. - Ximing Li 002; Yuanchao Dai; Zhiyao Yang; Jinjin Chi; Wanfu Gao; Lin Yuanbo Wu (AAAI, 2025)

Enhancing Unsupervised Graph Few-shot Learning via Set Functions and Optimal Transport. - Yonghao Liu 001; Fausto Giunchiglia; Ximing Li 002; Lan Huang 002; Xiaoyue Feng; Renchu Guan (KDD (1), 2025)

Collaboration and Controversy Among Experts: Rumor Early Detection by Tuning a Comment Generator. - Bing Wang 018; Bingrui Zhao; Ximing Li 002; Changchun Li; Wanfu Gao; Shengsheng Wang 001 (SIGIR, 2025)

Dual-level Mixup for Graph Few-shot Learning with Fewer Tasks. - Yonghao Liu 001; Mengyu Li; Fausto Giunchiglia; Lan Huang 002; Ximing Li 002; Xiaoyue Feng; Renchu Guan (WWW, 2025)

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

Collaboration and Controversy Among Experts: Rumor Early Detection by Tuning a Comment Generator. - Bing Wang 018; Bingrui Zhao; Ximing Li 002; Changchun Li; Wanfu Gao; Sheng-Sheng Wang 001 (CoRR, 2025)

Robust Misinformation Detection by Visiting Potential Commonsense Conflict. - Bing Wang 018; Ximing Li 002; Changchun Li; Bingrui Zhao; Bo Fu 001; Renchu Guan; Sheng-Sheng Wang 001 (CoRR, 2025)

Remember Past, Anticipate Future: Learning Continual Multimodal Misinformation Detectors. - Bing Wang 018; Ximing Li 002; Mengzhe Ye; Changchun Li; Bo Fu 001; Jianfeng Qu; Lin Yuanbo Wu (CoRR, 2025)

Variety Is the Spice of Life: Detecting Misinformation with Dynamic Environmental Representations. - Bing Wang 018; Ximing Li 002; Yiming Wang; Changchun Li; Jiaxu Cui; Renchu Guan; Bo Yang (CoRR, 2025)