Pei-Pei Li

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 40

Top Topics

Feature Selection

Concept Drifting

Top Venues

Knowl. Based Syst.

IEEE Trans. Knowl. Data Eng.

Pattern Recognit.

Publications

Junwei Lv, Yuqi Chu, Jun Hu, Pei-Pei Li, Xuegang Hu
Second-order Confidence Network for Early Classification of Time Series. ACM Trans. Intell. Syst. Technol. 15 (1) (2024)
Yizhang Zou, Xuegang Hu, Pei-Pei Li
Gradient-based multi-label feature selection considering three-way variable interaction. Pattern Recognit. 145 (2024)
Huiting Liu, Yi Chen, Pei-Pei Li, Peng Zhao, Xindong Wu
Enhancing review-based user representation on learned social graph for recommendation. Knowl. Based Syst. 266 (2023)
Pei-Pei Li, Yingying Liu, Yang Hu, Yuhong Zhang, Xuegang Hu, Kui Yu
A Drift-Sensitive Distributed LSTM Method for Short Text Stream Classification. IEEE Trans. Big Data 9 (1) (2023)
Xiulan Yuan, Xuegang Hu, Pei-Pei Li
Multi-source Multi-label Feature Selection. IJCNN (2023)
Yizhang Zou, Xuegang Hu, Pei-Pei Li
Online Multi-Label Classification with Scalable Margin Robust to Missing Labels. ICKG (2023)
Xianjie Guo, Kui Yu, Lin Liu, Pei-Pei Li, Jiuyong Li
Adaptive Skeleton Construction for Accurate DAG Learning. IEEE Trans. Knowl. Data Eng. 35 (10) (2023)
Jiajun Li, Pei-Pei Li, Xuegang Hu
Semi-supervised Short Text Classification Based On Dual-channel Data Augmentation. IJCNN (2023)
Pei-Pei Li, Haixiang Zhang, Xuegang Hu, Xindong Wu
High-Dimensional Multi-Label Data Stream Classification With Concept Drifting Detection. IEEE Trans. Knowl. Data Eng. 35 (8) (2023)
Junlong Li, Pei-Pei Li, Xuegang Hu, Kui Yu
Learning common and label-specific features for multi-Label classification with correlation information. Pattern Recognit. 121 (2022)
Boyan Wang, Xuegang Hu, Chenwei Zhang, Pei-Pei Li, Philip S. Yu
Hierarchical GAN-Tree and Bi-Directional Capsules for multi-label image classification. Knowl. Based Syst. 238 (2022)
Xiulin Zheng, Pei-Pei Li, Xindong Wu
Data Stream Classification Based on Extreme Learning Machine: A Review. Big Data Res. 30 (2022)
Yingying Liu, Pei-Pei Li, Xuegang Hu
Combining context-relevant features with multi-stage attention network for short text classification. Comput. Speech Lang. 71 (2022)
Xianjie Guo, Kui Yu, Fuyuan Cao, Pei-Pei Li, Hao Wang
Error-aware Markov blanket learning for causal feature selection. Inf. Sci. 589 (2022)
Yi Zhu, Xindong Wu, Jipeng Qiang, Xuegang Hu, Yuhong Zhang, Pei-Pei Li
Representation learning with deep sparse auto-encoder for multi-task learning. Pattern Recognit. 129 (2022)
Yang Li, Xuegang Hu, Zhu-Hong You, Li-Ping Li, Pei-Pei Li, Yan-Bin Wang, Yu-An Huang
Robust and accurate prediction of self-interacting proteins from protein sequence information by exploiting weighted sparse representation based classifier. BMC Bioinform. (7) (2022)
Huiting Liu, Geng Chen, Pei-Pei Li, Peng Zhao, Xindong Wu
Multi-label text classification via joint learning from label embedding and label correlation. Neurocomputing 460 (2021)
Jiao Li, Chenyang Bu, Pei-Pei Li, Xindong Wu
A coarse-to-fine collective entity linking method for heterogeneous information networks. Knowl. Based Syst. 228 (2021)
Pei-Pei Li, Man Wu, Junhong He, Xuegang Hu
Recurring Drift Detection and Model Selection-Based Ensemble Classification for Data Streams with Unlabeled Data. New Gener. Comput. 39 (2) (2021)
Yuhong Zhang, Yuxin Xie, Pei-Pei Li, Xuegang Hu
A Key-phrase Extraction Method Based on Multi-size Convolution Windows for Scientific Literatures. CCIS (2021)
Boyan Wang, Xuegang Hu, Pei-Pei Li, Philip S. Yu
Cognitive structure learning model for hierarchical multi-label text classification. Knowl. Based Syst. 218 (2021)
Xuetao Tang, Xuegang Hu, Pei-Pei Li
Dynamically Jointing character and word embedding for Chinese text Classification. ICKG (2020)
Peng Zhou, Xuegang Hu, Pei-Pei Li, Xindong Wu
OFS-Density: A novel online streaming feature selection method. Pattern Recognit. 86 (2019)
Junwei Lv, Xuegang Hu, Lei Li, Pei-Pei Li
An Effective Confidence-Based Early Classification of Time Series. IEEE Access 7 (2019)
Shuai Yang, Yuhong Zhang, Yi Zhu, Pei-Pei Li, Xuegang Hu
Representation learning via serial autoencoders for domain adaptation. Neurocomputing 351 (2019)
Peng Zhou, Xuegang Hu, Pei-Pei Li, Xindong Wu
Online streaming feature selection using adapted Neighborhood Rough Set. Inf. Sci. 481 (2019)
Pei-Pei Li, Haixun Wang, Hongsong Li, Xindong Wu
Employing Semantic Context for Sparse Information Extraction Assessment. ACM Trans. Knowl. Discov. Data 12 (5) (2018)
Yi Zhu, Xuegang Hu, Yuhong Zhang, Pei-Pei Li
Transfer learning with stacked reconstruction independent component analysis. Knowl. Based Syst. 152 (2018)
Pei-Pei Li, Lu He, Haiyan Wang, Xuegang Hu, Yuhong Zhang, Lei Li, Xindong Wu
Learning From Short Text Streams With Topic Drifts. IEEE Trans. Cybern. 48 (9) (2018)
Xuegang Hu, Haiyan Wang, Pei-Pei Li
Online Biterm Topic Model based short text stream classification using short text expansion and concept drifting detection. Pattern Recognit. Lett. 116 (2018)
Yi Zhu, Xuegang Hu, Yuhong Zhang, Pei-Pei Li
Semi-Supervised Representation Learning: Transfer Learning with Manifold Regularized Auto-Encoders. ICBK (2018)
Xuegang Hu, Peng Zhou, Pei-Pei Li, Jing Wang, Xindong Wu
A survey on online feature selection with streaming features. Frontiers Comput. Sci. 12 (3) (2018)
Yuhong Zhang, Guang Chu, Pei-Pei Li, Xuegang Hu, Xindong Wu
Three-layer concept drifting detection in text data streams. Neurocomputing 260 (2017)
Peng Zhou, Xuegang Hu, Pei-Pei Li, Xindong Wu
Online feature selection for high-dimensional class-imbalanced data. Knowl. Based Syst. 136 (2017)
Peng Zhou, Xuegang Hu, Pei-Pei Li
A New Online Feature Selection Method Using Neighborhood Rough Set. ICBK (2017)
Pei-Pei Li, Lu He, Xuegang Hu, Yuhong Zhang, Lei Li, Xindong Wu
Concept Based Short Text Stream Classification with Topic Drifting Detection. ICDM (2016)
Xuegang Hu, Jianhan Pan, Pei-Pei Li, Huizong Li, Wei He, Yuhong Zhang
Multi-bridge transfer learning. Knowl. Based Syst. 97 (2016)
Jianhan Pan, Xuegang Hu, Pei-Pei Li, Huizong Li, Wei He, Yuhong Zhang, Yaojin Lin
Domain adaptation via Multi-Layer Transfer Learning. Neurocomputing 190 (2016)
Lu Liu, Jing Zhang, Pei-Pei Li, Yuhong Zhang, Xuegang Hu
A Label Correlation Based Weighting Feature Selection Approach for Multi-label Data. WAIM (2) (2016)
Jing Wang, Meng Wang, Pei-Pei Li, Luoqi Liu, Zhongqiu Zhao, Xuegang Hu, Xindong Wu
Online Feature Selection with Group Structure Analysis. CoRR (2016)
Yuhong Zhang, Xuegang Hu, Pei-Pei Li, Lei Li, Xindong Wu
Cross-domain sentiment classification-feature divergence, polarity divergence or both? Pattern Recognit. Lett. 65 (2015)
Pei-Pei Li, Xindong Wu, Xuegang Hu, Hao Wang
Learning concept-drifting data streams with random ensemble decision trees. Neurocomputing 166 (2015)
Pei-Pei Li, Xindong Wu, Xuegang Hu, Hao Wang
An Incremental Decision Tree for Mining Multilabel Data. Appl. Artif. Intell. 29 (10) (2015)
Pei-Pei Li, Haixun Wang, Kenny Q. Zhu, Zhongyuan Wang, Xuegang Hu, Xindong Wu
A Large Probabilistic Semantic Network Based Approach to Compute Term Similarity. IEEE Trans. Knowl. Data Eng. 27 (10) (2015)
Jing Wang, Meng Wang, Pei-Pei Li, Luoqi Liu, Zhong-Qiu Zhao, Xuegang Hu, Xindong Wu
Online Feature Selection with Group Structure Analysis. IEEE Trans. Knowl. Data Eng. 27 (11) (2015)
Jianhan Pan, Xuegang Hu, Yuhong Zhang, Pei-Pei Li, Yaojin Lin, Huizong Li, Wei He, Lei Li
Quadruple Transfer Learning: Exploiting both shared and non-shared concepts for text classification. Knowl. Based Syst. 90 (2015)
Jing Wang, Canyi Lu, Meng Wang, Pei-Pei Li, Shuicheng Yan, Xuegang Hu
Robust Face Recognition via Adaptive Sparse Representation. CoRR (2014)
Jing Zhang, Xuegang Hu, Pei-Pei Li, Wei He, Yuhong Zhang, Huizong Li
A Hybrid Feature Selection Approach by Correlation-Based Filters and SVM-RFE. ICPR (2014)
Jing Wang, Canyi Lu, Meng Wang, Pei-Pei Li, Shuicheng Yan, Xuegang Hu
Robust Face Recognition via Adaptive Sparse Representation. IEEE Trans. Cybern. 44 (12) (2014)
Pei-Pei Li, Haixun Wang, Hongsong Li, Xindong Wu
Assessing sparse information extraction using semantic contexts. CIKM (2013)
Pei-Pei Li, Haixun Wang, Kenny Q. Zhu, Zhongyuan Wang, Xindong Wu
Computing term similarity by large probabilistic isA knowledge. CIKM (2013)
Pei-Pei Li, Xindong Wu, Xuegang Hu
Mining Recurring Concept Drifts with Limited Labeled Streaming Data. ACM Trans. Intell. Syst. Technol. 3 (2) (2012)
Xindong Wu, Pei-Pei Li, Xuegang Hu
Learning from concept drifting data streams with unlabeled data. Neurocomputing 92 (2012)
Jiajia Feng, Fei Xie, Xuegang Hu, Pei-Pei Li, Jie Cao, Xindong Wu
Keyword extraction based on sequential pattern mining. ICIMCS (2011)
Pei-Pei Li, Xindong Wu, Qianhui Liang, Xuegang Hu, Yuhong Zhang
Random Ensemble Decision Trees for Learning Concept-Drifting Data Streams. PAKDD (1) (2011)
Juan Zhang, Xuegang Hu, Yuhong Zhang, Pei-Pei Li
An Efficient Ensemble Method for Classifying Skewed Data Streams. ICIC (3) (2011)
Pei-Pei Li, Xindong Wu, Xuegang Hu, Qianhui Liang, Yunjun Gao
A Random Decision Tree Ensemble for Mining Concept Drifts from Noisy Data Streams. Appl. Artif. Intell. 24 (7) (2010)
Qun Zhu, Xuegang Hu, Yuhong Zhang, Pei-Pei Li, Xindong Wu
A Double-Window-Based Classification Algorithm for Concept Drifting Data Streams. GrC (2010)
Yan Li, Yuhong Zhang, Xuegang Hu, Pei-Pei Li
A classification algorithm for noisy data streams. FSKD (2010)
Pei-Pei Li, Xindong Wu, Xuegang Hu
Learning from Concept Drifting Data Streams with Unlabeled Data. AAAI (2010)
Jiaying He, Pei-Pei Li, Xuegang Hu, Xindong Wu
A New Automatic Categorization Algorithm for Web Services. GrC (2010)
Haiping Wang, Fei Xie, Xuegang Hu, Pei-Pei Li, Xindong Wu
Pattern Matching with Flexible Wildcards and Recurring Characters. GrC (2010)
Pei-Pei Li, Xindong Wu, Xuegang Hu
Mining Recurring Concept Drifts with Limited Labeled Streaming Data. ACML (2010)
Yuhong Zhang, Xuegang Hu, Canhua Mei, Pei-Pei Li
A weighted algorithm of inductive transfer learning based on maximum entropy model. FSKD (2010)
Pei-Pei Li, Qianhui Liang, Xindong Wu, Xuegang Hu
Parameter Estimdation in Semi-Random Decision Tree Ensembling on Streaming Data. PAKDD (2009)
Hai-Guang Li, Gong-Qing Wu, Xuegang Hu, Xindong Wu, Yuan-Jun Bi, Pei-Pei Li
A relation extraction method of Chinese named entities based on location and semantic features. GrC (2009)
Pei-Pei Li, Xuegang Hu, Qianhui Liang, Yunjun Gao
Concept Drifting Detection on Noisy Streaming Data in Random Ensemble Decision Trees. MLDM (2009)
Qianhui Liang, Pei-Pei Li, Patrick C. K. Hung, Xindong Wu
Clustering Web Services for Automatic Categorization. IEEE SCC (2009)
Pei-Pei Li, Xuegang Hu, Xindong Wu
Mining Concept-Drifting Data Streams with Multiple Semi-Random Decision Trees. ADMA (2008)
Xuegang Hu, Pei-Pei Li, Xindong Wu, Gong-Qing Wu
A Semi-Random Multiple Decision-Tree Algorithm for Mining Data Streams. J. Comput. Sci. Technol. 22 (5) (2007)
Xuegang Hu, Xiang Wei, Dexing Wang, Pei-Pei Li
A Parallel Algorithm to Construct Concept Lattice. FSKD (2) (2007)