A Parallel Algorithm to Construct Concept Lattice. - Xuegang Hu; Xiang Wei; Dexing Wang; Pei-Pei Li 001 (FSKD (2), 2007)

A Semi-Random Multiple Decision-Tree Algorithm for Mining Data Streams. - Xuegang Hu; Pei-Pei Li 001; Xindong Wu 001; Gong-Qing Wu (J. Comput. Sci. Technol., 2007)

Mining Concept-Drifting Data Streams with Multiple Semi-Random Decision Trees. - Pei-Pei Li 001; Xuegang Hu; Xindong Wu 001 (ADMA, 2008)

Clustering Web Services for Automatic Categorization. - Qianhui Liang; Pei-Pei Li 001; Patrick C. K. Hung; Xindong Wu 001 (IEEE SCC, 2009)

A relation extraction method of Chinese named entities based on location and semantic features. - Hai-Guang Li; Gong-Qing Wu; Xuegang Hu; Xindong Wu 001; Yuan-Jun Bi; Pei-Pei Li 001 (GrC, 2009)

Concept Drifting Detection on Noisy Streaming Data in Random Ensemble Decision Trees. - Pei-Pei Li 001; Xuegang Hu; Qianhui Liang; Yunjun Gao (MLDM, 2009)

Parameter Estimdation in Semi-Random Decision Tree Ensembling on Streaming Data. - Pei-Pei Li 001; Qianhui Liang; Xindong Wu 001; Xuegang Hu (PAKDD, 2009)

A classification algorithm for noisy data streams. - Yan Li; Yuhong Zhang 002; Xuegang Hu; Pei-Pei Li 001 (FSKD, 2010)

A weighted algorithm of inductive transfer learning based on maximum entropy model. - Yuhong Zhang 002; Xuegang Hu; Canhua Mei; Pei-Pei Li 001 (FSKD, 2010)

A New Automatic Categorization Algorithm for Web Services. - Jiaying He; Pei-Pei Li 001; Xuegang Hu; Xindong Wu 001 (GrC, 2010)

Pattern Matching with Flexible Wildcards and Recurring Characters. - Haiping Wang 001; Fei Xie 002; Xuegang Hu; Pei-Pei Li 001; Xindong Wu 001 (GrC, 2010)

A Double-Window-Based Classification Algorithm for Concept Drifting Data Streams. - Qun Zhu; Xuegang Hu; Yuhong Zhang 002; Pei-Pei Li 001; Xindong Wu 001 (GrC, 2010)

A Random Decision Tree Ensemble for Mining Concept Drifts from Noisy Data Streams. - Pei-Pei Li 001; Xindong Wu 001; Xuegang Hu; Qianhui Liang; Yunjun Gao (Appl. Artif. Intell., 2010)

An Efficient Ensemble Method for Classifying Skewed Data Streams. - Juan Zhang; Xuegang Hu; Yuhong Zhang 002; Pei-Pei Li 001 (ICIC (3), 2011)

Keyword extraction based on sequential pattern mining. - Jiajia Feng; Fei Xie 002; Xuegang Hu; Pei-Pei Li 001; Jie Cao 001; Xindong Wu 001 (ICIMCS, 2011)

Random Ensemble Decision Trees for Learning Concept-Drifting Data Streams. - Pei-Pei Li 001; Xindong Wu 001; Qianhui Liang; Xuegang Hu; Yuhong Zhang 002 (PAKDD (1), 2011)

Learning from concept drifting data streams with unlabeled data. - Xindong Wu 001; Pei-Pei Li 001; Xuegang Hu (Neurocomputing, 2012)

Mining Recurring Concept Drifts with Limited Labeled Streaming Data. - Pei-Pei Li 001; Xindong Wu 001; Xuegang Hu (ACM Trans. Intell. Syst. Technol., 2012)

Assessing sparse information extraction using semantic contexts. - Pei-Pei Li 001; Haixun Wang; Hongsong Li; Xindong Wu 001 (CIKM, 2013)

Computing term similarity by large probabilistic isA knowledge. - Pei-Pei Li 001; Haixun Wang; Kenny Q. Zhu; Zhongyuan Wang 006; Xindong Wu 001 (CIKM, 2013)

A Hybrid Feature Selection Approach by Correlation-Based Filters and SVM-RFE. - Jing Zhang; Xuegang Hu; Pei-Pei Li 001; Wei He; Yuhong Zhang 002; Huizong Li (ICPR, 2014)

Robust Face Recognition via Adaptive Sparse Representation. - Jing Wang 021; Canyi Lu; Meng Wang 001; Pei-Pei Li 001; Shuicheng Yan; Xuegang Hu (IEEE Trans. Cybern., 2014)

An Incremental Decision Tree for Mining Multilabel Data. - Pei-Pei Li 001; Xindong Wu 001; Xuegang Hu; Hao Wang 008 (Appl. Artif. Intell., 2015)

Learning concept-drifting data streams with random ensemble decision trees. - Pei-Pei Li 001; Xindong Wu 001; Xuegang Hu; Hao Wang 008 (Neurocomputing, 2015)

Quadruple Transfer Learning: Exploiting both shared and non-shared concepts for text classification. - Jianhan Pan; Xuegang Hu; Yuhong Zhang 002; Pei-Pei Li 001; Yaojin Lin; Huizong Li; Wei He; Lei Li 002 (Knowl. Based Syst., 2015)

Cross-domain sentiment classification-feature divergence, polarity divergence or both? - Yuhong Zhang 002; Xuegang Hu; Pei-Pei Li 001; Lei Li 002; Xindong Wu 001 (Pattern Recognit. Lett., 2015)

A Large Probabilistic Semantic Network Based Approach to Compute Term Similarity. - Pei-Pei Li 001; Haixun Wang; Kenny Q. Zhu; Zhongyuan Wang 006; Xuegang Hu; Xindong Wu 001 (IEEE Trans. Knowl. Data Eng., 2015)

Online Feature Selection with Group Structure Analysis. - Jing Wang 021; Meng Wang 001; Pei-Pei Li 001; Luoqi Liu; Zhong-Qiu Zhao; Xuegang Hu; Xindong Wu 001 (IEEE Trans. Knowl. Data Eng., 2015)

Concept Based Short Text Stream Classification with Topic Drifting Detection. - Pei-Pei Li 001; Lu He; Xuegang Hu; Yuhong Zhang 002; Lei Li 002; Xindong Wu 001 (ICDM, 2016)

A Label Correlation Based Weighting Feature Selection Approach for Multi-label Data. - Lu Liu; Jing Zhang; Pei-Pei Li 001; Yuhong Zhang 002; Xuegang Hu (WAIM (2), 2016)

Domain adaptation via Multi-Layer Transfer Learning. - Jianhan Pan; Xuegang Hu; Pei-Pei Li 001; Huizong Li; Wei He; Yuhong Zhang 002; Yaojin Lin (Neurocomputing, 2016)

Multi-bridge transfer learning. - Xuegang Hu; Jianhan Pan; Pei-Pei Li 001; Huizong Li; Wei He; Yuhong Zhang 002 (Knowl. Based Syst., 2016)

A New Online Feature Selection Method Using Neighborhood Rough Set. - Peng Zhou 008; Xuegang Hu; Pei-Pei Li 001 (ICBK, 2017)

Three-layer concept drifting detection in text data streams. - Yuhong Zhang 002; Guang Chu; Pei-Pei Li 001; Xuegang Hu; Xindong Wu 001 (Neurocomputing, 2017)

Online feature selection for high-dimensional class-imbalanced data. - Peng Zhou 008; Xuegang Hu; Pei-Pei Li 001; Xindong Wu 001 (Knowl. Based Syst., 2017)

Semi-Supervised Representation Learning: Transfer Learning with Manifold Regularized Auto-Encoders. - Yi Zhu 006; Xuegang Hu; Yuhong Zhang 002; Pei-Pei Li 001 (ICBK, 2018)

A survey on online feature selection with streaming features. - Xuegang Hu; Peng Zhou 008; Pei-Pei Li 001; Jing Wang 021; Xindong Wu 001 (Frontiers Comput. Sci., 2018)

Transfer learning with stacked reconstruction independent component analysis. - Yi Zhu 006; Xuegang Hu; Yuhong Zhang 002; Pei-Pei Li 001 (Knowl. Based Syst., 2018)

Online Biterm Topic Model based short text stream classification using short text expansion and concept drifting detection. - Xuegang Hu; Haiyan Wang; Pei-Pei Li 001 (Pattern Recognit. Lett., 2018)

Learning From Short Text Streams With Topic Drifts. - Pei-Pei Li 001; Lu He; Haiyan Wang; Xuegang Hu; Yuhong Zhang 002; Lei Li 002; Xindong Wu 001 (IEEE Trans. Cybern., 2018)

Employing Semantic Context for Sparse Information Extraction Assessment. - Pei-Pei Li 001; Haixun Wang; Hongsong Li; Xindong Wu 001 (ACM Trans. Knowl. Discov. Data, 2018)

Co-training Based on Semi-Supervised Ensemble Classification Approach for Multi-label Data Stream. - Zhe Chu; Peipei Li 001; Xuegang Hu (ICBK, 2019)

Unsupervised Cross-Lingual Word Embeddings Learning with Adversarial Training. - Yuling Li 001; Yuhong Zhang 002; Peipei Li 001; Xuegang Hu (ICBK, 2019)

An Effective Confidence-Based Early Classification of Time Series. - Junwei Lv; Xuegang Hu; Lei Li 002; Pei-Pei Li 001 (IEEE Access, 2019)

Marginalized Stacked Denoising Autoencoder With Adaptive Noise Probability for Cross Domain Classification. - Yuhong Zhang 002; Shuai Yang 003; Peipei Li 001; Xuegang Hu; Hao Wang 008 (IEEE Access, 2019)

Representation learning via serial autoencoders for domain adaptation. - Shuai Yang 003; Yuhong Zhang 002; Yi Zhu 006; Pei-Pei Li 001; Xuegang Hu (Neurocomputing, 2019)

Transfer learning with deep manifold regularized auto-encoders. - Yi Zhu 006; Xindong Wu 001; Peipei Li 001; Yuhong Zhang 002; Xuegang Hu (Neurocomputing, 2019)

Online streaming feature selection using adapted Neighborhood Rough Set. - Peng Zhou 008; Xuegang Hu; Pei-Pei Li 001; Xindong Wu 001 (Inf. Sci., 2019)

OFS-Density: A novel online streaming feature selection method. - Peng Zhou 008; Xuegang Hu; Pei-Pei Li 001; Xindong Wu 001 (Pattern Recognit., 2019)

Learning Wasserstein Distance-Based Gaussian Graphical Model for Multivariate Time Series Classification. - Xuegang Hu; Jianxing Liao; Peipei Li 001; Junwei Lv; Lei Li 002 (ICKG, 2020)

Dynamically Jointing character and word embedding for Chinese text Classification. - Xuetao Tang; Xuegang Hu; Pei-Pei Li 001 (ICKG, 2020)

Corrections to "An Effective Confidence-Based Early Classification of Time Series". - Junwei Lv; Xuegang Hu; Lei Li 002; Peipei Li 001 (IEEE Access, 2020)

A Survey on Multi-Label Data Stream Classification. - Xiulin Zheng; Peipei Li 001; Zhe Chu; Xuegang Hu (IEEE Access, 2020)

Representation learning via serial robust autoencoder for domain adaptation. - Shuai Yang 003; Yuhong Zhang 002; Hao Wang 008; Peipei Li 001; Xuegang Hu (Expert Syst. Appl., 2020)

Semi-supervised representation learning via dual autoencoders for domain adaptation. - Shuai Yang 003; Hao Wang 008; Yuhong Zhang 002; Peipei Li 001; Yi Zhu 006; Xuegang Hu (Knowl. Based Syst., 2020)

Multi-fuzzy-objective graph pattern matching in big graph environments with reliability, trust and social relationship. - Lei Li 002; Fang Zhang; Zan Zhang 002; Peipei Li 001; Chenyang Bu (World Wide Web, 2020)

A Key-phrase Extraction Method Based on Multi-size Convolution Windows for Scientific Literatures. - Yuhong Zhang 002; Yuxin Xie 001; Pei-Pei Li 001; Xuegang Hu (CCIS, 2021)

An Efficient Framework for Multi-Label Learning in Non-stationary Data Stream. - Xiulin Zheng; Peipei Li 001 (ICBK, 2021)

Discovering Risk Factors of High Intraocular Pressure Infection Using Data Mining Algorithms. - Abdulkawi Yahya Radman Al-Shamiri; Peipei Li 001; Balqis Yahya Ali Abdullah Al-Mahweeti (ICCDA, 2021)

Multi-Label Learning with Missing Features. - Junlong Li; Peipei Li 001; Yizhang Zou; Xuegang Hu (IJCNN, 2021)

Multi-Label Streaming Feature Selection via Class-Imbalance Aware Rough Set. - Yizhang Zou; Xuegang Hu; Peipei Li 001; Junlong Li (IJCNN, 2021)

Online early terminated streaming feature selection based on Rough Set theory. - Peng Zhou 008; Peipei Li 001; Shu Zhao; Yanping Zhang 001 (Appl. Soft Comput., 2021)

Shared-view and specific-view information extraction for recommendation. - Huiting Liu 001; Jindou Zhao; Peipei Li 001; Peng Zhao 010; Xindong Wu 001 (Expert Syst. Appl., 2021)

Multi-label text classification via joint learning from label embedding and label correlation. - Huiting Liu 001; Geng Chen; Pei-Pei Li 001; Peng Zhao 010; Xindong Wu 001 (Neurocomputing, 2021)

Collaborative filtering with a deep adversarial and attention network for cross-domain recommendation. - Huiting Liu 001; Lingling Guo; Peipei Li 001; Peng Zhao 010; Xindong Wu 001 (Inf. Sci., 2021)

A coarse-to-fine collective entity linking method for heterogeneous information networks. - Jiao Li; Chenyang Bu; Pei-Pei Li 001; Xindong Wu 001 (Knowl. Based Syst., 2021)

Cognitive structure learning model for hierarchical multi-label text classification. - Boyan Wang; Xuegang Hu; Pei-Pei Li 001; Philip S. Yu (Knowl. Based Syst., 2021)

Semi-supervised classification on data streams with recurring concept drift and concept evolution. - Xiulin Zheng; Peipei Li 001; Xuegang Hu; Kui Yu (Knowl. Based Syst., 2021)

Recurring Drift Detection and Model Selection-Based Ensemble Classification for Data Streams with Unlabeled Data. - Pei-Pei Li 001; Man Wu; Junhong He; Xuegang Hu (New Gener. Comput., 2021)

Feature Interaction for Streaming Feature Selection. - Peng Zhou 008; Peipei Li 001; Shu Zhao; Xindong Wu 001 (IEEE Trans. Neural Networks Learn. Syst., 2021)

Predicting circRNA-disease associations using similarity assessing graph convolution from multi-source information networks. - Yang Li 111; Xue-Gang Hu; Pei-Pei Li 001; Lei Wang 121; Zhu-Hong You (BIBM, 2022)

Multi-label Learning with Data Self-augmentation. - Yuhang Ge; Xuegang Hu; Peipei Li 001; Haobo Wang 001; Junbo Zhao 002; Junlong Li (ICONIP (4), 2022)

Structure Similarity Graph for Cross-Network Node Classification. - Xinzheng Li; Yuhong Zhang 002; Peipei Li 001; Xuegang Hu (ICTAI, 2022)

Semi-Supervised Online Kernel Extreme Learning Machine for Multi-Label Data Stream Classification. - Shiyuan Qiu; Peipei Li 001; Xuegang Hu (IJCNN, 2022)

An Online Dirichlet Model based on Sentence Embedding and DBSCAN for Noisy Short Text Stream Clustering. - Xianliang Si; Peipei Li 001; Xuegang Hu; Yuhong Zhang 002 (IJCNN, 2022)

Multi-Label Learning with Missing Labels via Common and Label-Specific Features. - Mengxuan Sun; Peipei Li 001; Junlong Li; Xuegang Hu (IJCNN, 2022)

Partial Multi-Label Feature Selection. - Jing Wang 021; Peipei Li 001; Kui Yu (IJCNN, 2022)

PU Matrix Completion Based Multi-label Classification with Missing Labels. - Zhidong Huang; Peipei Li 001; Xuegang Hu (ISDA (2), 2022)

A Structure-Aware Method for Cross-domain Text Classification. - Yuhong Zhang 002; Lin Qian; Qi Zhang; Peipei Li 001; Guocheng Liu (PRICAI (2), 2022)

A deep selective learning network for cross-domain recommendation. - Huiting Liu 001; Qian Liu; Peipei Li 001; Peng Zhao 010; Xindong Wu 001 (Appl. Soft Comput., 2022)

Data Stream Classification Based on Extreme Learning Machine: A Review. - Xiulin Zheng; Pei-Pei Li 001; Xindong Wu 001 (Big Data Res., 2022)

MNMDCDA: prediction of circRNA-disease associations by learning mixed neighborhood information from multiple distances. - Yang Li 111; Xue-Gang Hu; Lei Wang 121; Pei-Pei Li 001; Zhu-Hong You (Briefings Bioinform., 2022)

Robust and accurate prediction of self-interacting proteins from protein sequence information by exploiting weighted sparse representation based classifier. - Yang Li 111; Xuegang Hu; Zhu-Hong You; Li-Ping Li 003; Pei-Pei Li 001; Yan-Bin Wang; Yu-An Huang (BMC Bioinform., 2022)

Combining context-relevant features with multi-stage attention network for short text classification. - Yingying Liu; Pei-Pei Li 001; Xuegang Hu (Comput. Speech Lang., 2022)

General assembly framework for online streaming feature selection via Rough Set models. - Peng Zhou 008; Yunyun Zhang; Peipei Li 001; Xindong Wu 001 (Expert Syst. Appl., 2022)

Error-aware Markov blanket learning for causal feature selection. - Xianjie Guo; Kui Yu; Fuyuan Cao; Pei-Pei Li 001; Hao Wang 008 (Inf. Sci., 2022)

Hierarchical GAN-Tree and Bi-Directional Capsules for multi-label image classification. - Boyan Wang; Xuegang Hu; Chenwei Zhang; Pei-Pei Li 001; Philip S. Yu (Knowl. Based Syst., 2022)

Learning common and label-specific features for multi-Label classification with correlation information. - Junlong Li; Pei-Pei Li 001; Xuegang Hu; Kui Yu (Pattern Recognit., 2022)

Representation learning with deep sparse auto-encoder for multi-task learning. - Yi Zhu 006; Xindong Wu 001; Jipeng Qiang; Xuegang Hu; Yuhong Zhang 002; Pei-Pei Li 001 (Pattern Recognit., 2022)

Online Multi-Label Classification with Scalable Margin Robust to Missing Labels. - Yizhang Zou; Xuegang Hu; Pei-Pei Li 001 (ICKG, 2023)

Global and Adaptive Local Label Correlation for Multi-label Learning with Missing Labels. - Qingxia Jiang; Peipei Li 001; Yuhong Zhang 002; Xuegang Hu (IJCNN, 2023)

Semi-supervised Short Text Classification Based On Dual-channel Data Augmentation. - Jiajun Li; Pei-Pei Li 001; Xuegang Hu (IJCNN, 2023)

Semi-supervised Multi-Label Learning with Missing Labels via Correlation Information. - Zexian Xie; Peipei Li 001; Jinling Jiang; Xindong Wu 001 (IJCNN, 2023)

Multi-source Multi-label Feature Selection. - Xiulan Yuan; Xuegang Hu; Pei-Pei Li 001 (IJCNN, 2023)

REDRL: A review-enhanced Deep Reinforcement Learning model for interactive recommendation. - Huiting Liu 001; Kun Cai; Peipei Li 001; Cheng Qian; Peng Zhao 010; Xindong Wu 001 (Expert Syst. Appl., 2023)

Relation-propagation meta-learning on an explicit preference graph for cold-start recommendation. - Huiting Liu 001; Lei Wang 121; Peipei Li 001; Cheng Qian; Peng Zhao 010; Xindong Wu 001 (Knowl. Based Syst., 2023)

A Drift-Sensitive Distributed LSTM Method for Short Text Stream Classification. - Pei-Pei Li 001; Yingying Liu; Yang Hu; Yuhong Zhang 002; Xuegang Hu; Kui Yu (IEEE Trans. Big Data, 2023)

Enhancing review-based user representation on learned social graph for recommendation. - Huiting Liu 001; Yi Chen; Pei-Pei Li 001; Peng Zhao 010; Xindong Wu 001 (Knowl. Based Syst., 2023)

High-Dimensional Multi-Label Data Stream Classification With Concept Drifting Detection. - Pei-Pei Li 001; Haixiang Zhang; Xuegang Hu; Xindong Wu 001 (IEEE Trans. Knowl. Data Eng., 2023)

Adaptive Skeleton Construction for Accurate DAG Learning. - Xianjie Guo; Kui Yu; Lin Liu 003; Pei-Pei Li 001; Jiuyong Li (IEEE Trans. Knowl. Data Eng., 2023)

Class-Specific Semantic Generation and Reconstruction Learning for Open Set Recognition. - Haoyang Liu; Yaojin Lin; Peipei Li 001; Jun Hu 016; Xuegang Hu (IJCAI, 2024)

Online Multi-Label Classification under Noisy and Changing Label Distribution. - Yizhang Zou; Xuegang Hu; Pei-Pei Li 001; Jun Hu 016; You Wu (CoRR, 2024)

Learning shared and non-redundant label-specific features for partial multi-label classification. - Yizhang Zou; Xuegang Hu; Peipei Li 001; Yuhang Ge (Inf. Sci., 2024)

Gradient-based multi-label feature selection considering three-way variable interaction. - Yizhang Zou; Xuegang Hu; Pei-Pei Li 001 (Pattern Recognit., 2024)

DeepCPR: Deep Path Reasoning Using Sequence of User-Preferred Attributes for Conversational Recommendation. - Huiting Liu 001; Yu Zhang; Peipei Li 001; Cheng Qian; Peng Zhao 010; Xindong Wu 001 (ACM Trans. Knowl. Discov. Data, 2024)

Second-order Confidence Network for Early Classification of Time Series. - Junwei Lv; Yuqi Chu; Jun Hu 016; Pei-Pei Li 001; Xuegang Hu (ACM Trans. Intell. Syst. Technol., 2024)

Feature Selection for Efficient Local-to-global Bayesian Network Structure Learning. - Kui Yu; Zhaolong Ling; Lin Liu 003; Peipei Li 001; Hao Wang 008; Jiuyong Li (ACM Trans. Knowl. Discov. Data, 2024)

Knowledge and separating soft verbalizer based prompt-tuning for multi-label short text classification. - Zhanwang Chen; Peipei Li 001; Xuegang Hu (Appl. Intell., 2024)

Collective Entity Linking based on Evolutionary Algorithms: A practical application. - Jiao Li; Chenyang Bu; Jiacheng Liu; Peipei Li 001; Xindong Wu 001 (Inf. Sci., 2025)

A multi-agent reinforcement learning framework for cross-domain sequential recommendation. - Huiting Liu 001; Junyi Wei; Kaiwen Zhu; Pei-Pei Li 001; Peng Zhao 010; Xindong Wu 001 (Neural Networks, 2025)

Partial multi-label feature selection with feature noise. - You Wu; Peipei Li 001; Yizhang Zou (Pattern Recognit., 2025)

A Relation-Constraint Link Prediction Model for Dynamic Knowledge Graphs with Entity Drift. - Xiulin Zheng; Pei-Pei Li 001; Zan Zhang 002; Jia Wu 001; Xindong Wu 001 (ACM Trans. Knowl. Discov. Data, 2025)

Unbiased Meta Reinforcement Learning for Interactive Recommender Systems. - Huiting Liu 001; Xinlong Lv; Peng Zhao 010; Peipei Li 001; Xindong Wu 001 (IEEE Trans. Multim., 2025)

An Automatic Paper-Reviewer Recommendation Algorithm Based on Depth and Breadth. - Xiulin Zheng; Pei-Pei Li 001; Xindong Wu 001 (IEEE Trans. Emerg. Top. Comput. Intell., 2025)

Denoising Implicit Feedback for Graph Collaborative Filtering via Causal Intervention. - Huiting Liu 001; Huaxiu Zhang; Peipei Li 001; Peng Zhao 010; Xindong Wu 001 (IEEE Trans. Big Data, 2025)

Weak Multi-Label Data Stream Classification Under Distribution Changes in Labels. - Yizhang Zou; Xuegang Hu; Peipei Li 001; Jun Hu 016 (IEEE Trans. Big Data, 2025)

Causal Meta-learning with Multi-view Graphs for Cold-start Recommendation. - Huiting Liu 001; Wei Zhang 098; Pei-Pei Li 001; Peng Zhao 010; Xindong Wu 001 (ACM Trans. Knowl. Discov. Data, 2025)