Pei-Pei Li - RankMe

83 papers A* 2A 2B 4C 2Misc 4Journal 54Unranked 15

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Multi-source multi-label feature selection with missing features. Expert Syst. Appl. Yabo Shi, Pei-Pei Li, Xiulan Yuan, You Wu, Haiping Wang
2026	J	`jnl`	Unified online weak multi-Label learning in drifting and imbalanced data streams. Knowl. Based Syst. Yizhang Zou, Xuegang Hu, Pei-Pei Li, You Wu
2025	J	`jnl`	A Relation-Constraint Link Prediction Model for Dynamic Knowledge Graphs with Entity Drift. ACM Trans. Knowl. Discov. Data Xiulin Zheng, Pei-Pei Li, Zan Zhang, Jia Wu, Xindong Wu
2025	J	`jnl`	A multi-agent reinforcement learning framework for cross-domain sequential recommendation. Neural Networks Huiting Liu, Junyi Wei, Kaiwen Zhu, Pei-Pei Li, Peng Zhao, Xindong Wu
2025	J	`jnl`	An Automatic Paper-Reviewer Recommendation Algorithm Based on Depth and Breadth. IEEE Trans. Emerg. Top. Comput. Intell. Xiulin Zheng, Pei-Pei Li, Xindong Wu
2025	J	`jnl`	Causal Meta-learning with Multi-view Graphs for Cold-start Recommendation. ACM Trans. Knowl. Discov. Data Huiting Liu, Wei Zhang, Pei-Pei Li, Peng Zhao, Xindong Wu
2025	J	`jnl`	Dynamic Graph Learning to Denoise Implicit Feedback for Graph Collaborative Filtering. IEEE Trans. Comput. Soc. Syst. Huiting Liu, Xinchen Xiong, Pei-Pei Li, Peng Zhao, Xindong Wu
2025	J	`jnl`	Semi-Supervised Medical Image Segmentation Based on Frequency Domain Aware Stable Consistency Regularization. J. Imaging Inform. Medicine Yihao Ouyang, Pei-Pei Li, Haixiang Zhang, Xuegang Hu
2025	J	`jnl`	Semi-Supervised Short Text Stream Classification Based on Drift-Aware Incremental Deep Learning. IEEE Trans. Knowl. Data Eng. Pei-Pei Li, Shiying Yu, Jiajun Li, Xuegang Hu
2024	J	`jnl`	Gradient-based multi-label feature selection considering three-way variable interaction. Pattern Recognit. Yizhang Zou, Xuegang Hu, Pei-Pei Li
2024	J	`jnl`	Online Multi-Label Classification under Noisy and Changing Label Distribution. CoRR Yizhang Zou, Xuegang Hu, Pei-Pei Li, Jun Hu, You Wu
2024	J	`jnl`	Second-order Confidence Network for Early Classification of Time Series. ACM Trans. Intell. Syst. Technol. Junwei Lv, Yuqi Chu, Jun Hu, Pei-Pei Li, Xuegang Hu
2023	J	`jnl`	A Drift-Sensitive Distributed LSTM Method for Short Text Stream Classification. IEEE Trans. Big Data Pei-Pei Li, Yingying Liu, Yang Hu, Yuhong Zhang, Xuegang Hu, Kui Yu
2023	J	`jnl`	Adaptive Skeleton Construction for Accurate DAG Learning. IEEE Trans. Knowl. Data Eng. Xianjie Guo, Kui Yu, Lin Liu, Pei-Pei Li, Jiuyong Li
2023	J	`jnl`	Enhancing review-based user representation on learned social graph for recommendation. Knowl. Based Syst. Huiting Liu, Yi Chen, Pei-Pei Li, Peng Zhao, Xindong Wu
2023	J	`jnl`	High-Dimensional Multi-Label Data Stream Classification With Concept Drifting Detection. IEEE Trans. Knowl. Data Eng. Pei-Pei Li, Haixiang Zhang, Xuegang Hu, Xindong Wu
2023	B	`conf`	Multi-source Multi-label Feature Selection. IJCNN Xiulan Yuan, Xuegang Hu, Pei-Pei Li
2023	—	`conf`	Online Multi-Label Classification with Scalable Margin Robust to Missing Labels. ICKG Yizhang Zou, Xuegang Hu, Pei-Pei Li
2023	B	`conf`	Semi-supervised Short Text Classification Based On Dual-channel Data Augmentation. IJCNN Jiajun Li, Pei-Pei Li, Xuegang Hu
2022	J	`jnl`	Combining context-relevant features with multi-stage attention network for short text classification. Comput. Speech Lang. Yingying Liu, Pei-Pei Li, Xuegang Hu
2022	J	`jnl`	Data Stream Classification Based on Extreme Learning Machine: A Review. Big Data Res. Xiulin Zheng, Pei-Pei Li, Xindong Wu
2022	J	`jnl`	Error-aware Markov blanket learning for causal feature selection. Inf. Sci. Xianjie Guo, Kui Yu, Fuyuan Cao, Pei-Pei Li, Hao Wang
2022	J	`jnl`	Hierarchical GAN-Tree and Bi-Directional Capsules for multi-label image classification. Knowl. Based Syst. Boyan Wang, Xuegang Hu, Chenwei Zhang, Pei-Pei Li, Philip S. Yu
2022	J	`jnl`	Learning common and label-specific features for multi-Label classification with correlation information. Pattern Recognit. Junlong Li, Pei-Pei Li, Xuegang Hu, Kui Yu
2022	J	`jnl`	MNMDCDA: prediction of circRNA-disease associations by learning mixed neighborhood information from multiple distances. Briefings Bioinform. Yang Li, Xue-Gang Hu, Lei Wang, Pei-Pei Li, Zhu-Hong You
2022	—	`conf`	Predicting circRNA-disease associations using similarity assessing graph convolution from multi-source information networks. BIBM Yang Li, Xue-Gang Hu, Pei-Pei Li, Lei Wang, Zhu-Hong You
2022	J	`jnl`	Representation learning with deep sparse auto-encoder for multi-task learning. Pattern Recognit. Yi Zhu, Xindong Wu, Jipeng Qiang, Xuegang Hu, Yuhong Zhang, Pei-Pei Li
2022	J	`jnl`	Robust and accurate prediction of self-interacting proteins from protein sequence information by exploiting weighted sparse representation based classifier. BMC Bioinform. Yang Li, Xuegang Hu, Zhu-Hong You, Li-Ping Li, Pei-Pei Li, Yan-Bin Wang, Yu-An Huang
2021	—	`conf`	A Key-phrase Extraction Method Based on Multi-size Convolution Windows for Scientific Literatures. CCIS Yuhong Zhang, Yuxin Xie, Pei-Pei Li, Xuegang Hu
2021	J	`jnl`	A coarse-to-fine collective entity linking method for heterogeneous information networks. Knowl. Based Syst. Jiao Li, Chenyang Bu, Pei-Pei Li, Xindong Wu
2021	J	`jnl`	Cognitive structure learning model for hierarchical multi-label text classification. Knowl. Based Syst. Boyan Wang, Xuegang Hu, Pei-Pei Li, Philip S. Yu
2021	J	`jnl`	Multi-label text classification via joint learning from label embedding and label correlation. Neurocomputing Huiting Liu, Geng Chen, Pei-Pei Li, Peng Zhao, Xindong Wu
2021	J	`jnl`	Recurring Drift Detection and Model Selection-Based Ensemble Classification for Data Streams with Unlabeled Data. New Gener. Comput. Pei-Pei Li, Man Wu, Junhong He, Xuegang Hu
2020	—	`conf`	Dynamically Jointing character and word embedding for Chinese text Classification. ICKG Xuetao Tang, Xuegang Hu, Pei-Pei Li
2019	J	`jnl`	An Effective Confidence-Based Early Classification of Time Series. IEEE Access Junwei Lv, Xuegang Hu, Lei Li, Pei-Pei Li
2019	J	`jnl`	OFS-Density: A novel online streaming feature selection method. Pattern Recognit. Peng Zhou, Xuegang Hu, Pei-Pei Li, Xindong Wu
2019	J	`jnl`	Online streaming feature selection using adapted Neighborhood Rough Set. Inf. Sci. Peng Zhou, Xuegang Hu, Pei-Pei Li, Xindong Wu
2019	J	`jnl`	Representation learning via serial autoencoders for domain adaptation. Neurocomputing Shuai Yang, Yuhong Zhang, Yi Zhu, Pei-Pei Li, Xuegang Hu
2018	J	`jnl`	A survey on online feature selection with streaming features. Frontiers Comput. Sci. Xuegang Hu, Peng Zhou, Pei-Pei Li, Jing Wang, Xindong Wu
2018	J	`jnl`	Employing Semantic Context for Sparse Information Extraction Assessment. ACM Trans. Knowl. Discov. Data Pei-Pei Li, Haixun Wang, Hongsong Li, Xindong Wu
2018	J	`jnl`	Learning From Short Text Streams With Topic Drifts. IEEE Trans. Cybern. Pei-Pei Li, Lu He, Haiyan Wang, Xuegang Hu, Yuhong Zhang, Lei Li, Xindong Wu
2018	J	`jnl`	Online Biterm Topic Model based short text stream classification using short text expansion and concept drifting detection. Pattern Recognit. Lett. Xuegang Hu, Haiyan Wang, Pei-Pei Li
2018	—	`conf`	Semi-Supervised Representation Learning: Transfer Learning with Manifold Regularized Auto-Encoders. ICBK Yi Zhu, Xuegang Hu, Yuhong Zhang, Pei-Pei Li
2018	J	`jnl`	Transfer learning with stacked reconstruction independent component analysis. Knowl. Based Syst. Yi Zhu, Xuegang Hu, Yuhong Zhang, Pei-Pei Li
2017	—	`conf`	A New Online Feature Selection Method Using Neighborhood Rough Set. ICBK Peng Zhou, Xuegang Hu, Pei-Pei Li
2017	J	`jnl`	Online feature selection for high-dimensional class-imbalanced data. Knowl. Based Syst. Peng Zhou, Xuegang Hu, Pei-Pei Li, Xindong Wu
2017	J	`jnl`	Three-layer concept drifting detection in text data streams. Neurocomputing Yuhong Zhang, Guang Chu, Pei-Pei Li, Xuegang Hu, Xindong Wu
2016	—	`conf`	A Label Correlation Based Weighting Feature Selection Approach for Multi-label Data. WAIM (2) Lu Liu, Jing Zhang, Pei-Pei Li, Yuhong Zhang, Xuegang Hu
2016	A*	`conf`	Concept Based Short Text Stream Classification with Topic Drifting Detection. ICDM Pei-Pei Li, Lu He, Xuegang Hu, Yuhong Zhang, Lei Li, Xindong Wu
2016	J	`jnl`	Domain adaptation via Multi-Layer Transfer Learning. Neurocomputing Jianhan Pan, Xuegang Hu, Pei-Pei Li, Huizong Li, Wei He, Yuhong Zhang, Yaojin Lin
2016	J	`jnl`	Multi-bridge transfer learning. Knowl. Based Syst. Xuegang Hu, Jianhan Pan, Pei-Pei Li, Huizong Li, Wei He, Yuhong Zhang
2016	J	`jnl`	Online Feature Selection with Group Structure Analysis. CoRR Jing Wang, Meng Wang, Pei-Pei Li, Luoqi Liu, Zhongqiu Zhao, Xuegang Hu, Xindong Wu
2015	J	`jnl`	A Large Probabilistic Semantic Network Based Approach to Compute Term Similarity. IEEE Trans. Knowl. Data Eng. Pei-Pei Li, Haixun Wang, Kenny Q. Zhu, Zhongyuan Wang, Xuegang Hu, Xindong Wu
2015	J	`jnl`	An Incremental Decision Tree for Mining Multilabel Data. Appl. Artif. Intell. Pei-Pei Li, Xindong Wu, Xuegang Hu, Hao Wang
2015	J	`jnl`	Cross-domain sentiment classification-feature divergence, polarity divergence or both? Pattern Recognit. Lett. Yuhong Zhang, Xuegang Hu, Pei-Pei Li, Lei Li, Xindong Wu
2015	J	`jnl`	Learning concept-drifting data streams with random ensemble decision trees. Neurocomputing Pei-Pei Li, Xindong Wu, Xuegang Hu, Hao Wang
2015	J	`jnl`	Online Feature Selection with Group Structure Analysis. IEEE Trans. Knowl. Data Eng. Jing Wang, Meng Wang, Pei-Pei Li, Luoqi Liu, Zhong-Qiu Zhao, Xuegang Hu, Xindong Wu
2015	J	`jnl`	Quadruple Transfer Learning: Exploiting both shared and non-shared concepts for text classification. Knowl. Based Syst. Jianhan Pan, Xuegang Hu, Yuhong Zhang, Pei-Pei Li, Yaojin Lin, Huizong Li, Wei He, Lei Li
2014	B	`conf`	A Hybrid Feature Selection Approach by Correlation-Based Filters and SVM-RFE. ICPR Jing Zhang, Xuegang Hu, Pei-Pei Li, Wei He, Yuhong Zhang, Huizong Li
2014	J	`jnl`	Robust Face Recognition via Adaptive Sparse Representation. CoRR Jing Wang, Canyi Lu, Meng Wang, Pei-Pei Li, Shuicheng Yan, Xuegang Hu
2014	J	`jnl`	Robust Face Recognition via Adaptive Sparse Representation. IEEE Trans. Cybern. Jing Wang, Canyi Lu, Meng Wang, Pei-Pei Li, Shuicheng Yan, Xuegang Hu
2013	A	`conf`	Assessing sparse information extraction using semantic contexts. CIKM Pei-Pei Li, Haixun Wang, Hongsong Li, Xindong Wu
2013	A	`conf`	Computing term similarity by large probabilistic isA knowledge. CIKM Pei-Pei Li, Haixun Wang, Kenny Q. Zhu, Zhongyuan Wang, Xindong Wu
2012	J	`jnl`	Learning from concept drifting data streams with unlabeled data. Neurocomputing Xindong Wu, Pei-Pei Li, Xuegang Hu
2012	J	`jnl`	Mining Recurring Concept Drifts with Limited Labeled Streaming Data. ACM Trans. Intell. Syst. Technol. Pei-Pei Li, Xindong Wu, Xuegang Hu
2011	—	`conf`	An Efficient Ensemble Method for Classifying Skewed Data Streams. ICIC (3) Juan Zhang, Xuegang Hu, Yuhong Zhang, Pei-Pei Li
2011	—	`conf`	Keyword extraction based on sequential pattern mining. ICIMCS Jiajia Feng, Fei Xie, Xuegang Hu, Pei-Pei Li, Jie Cao, Xindong Wu
2011	—	`conf`	Random Ensemble Decision Trees for Learning Concept-Drifting Data Streams. PAKDD (1) Pei-Pei Li, Xindong Wu, Qianhui Liang, Xuegang Hu, Yuhong Zhang
2010	Misc	`conf`	A Double-Window-Based Classification Algorithm for Concept Drifting Data Streams. GrC Qun Zhu, Xuegang Hu, Yuhong Zhang, Pei-Pei Li, Xindong Wu
2010	Misc	`conf`	A New Automatic Categorization Algorithm for Web Services. GrC Jiaying He, Pei-Pei Li, Xuegang Hu, Xindong Wu
2010	J	`jnl`	A Random Decision Tree Ensemble for Mining Concept Drifts from Noisy Data Streams. Appl. Artif. Intell. Pei-Pei Li, Xindong Wu, Xuegang Hu, Qianhui Liang, Yunjun Gao
2010	—	`conf`	A classification algorithm for noisy data streams. FSKD Yan Li, Yuhong Zhang, Xuegang Hu, Pei-Pei Li
2010	—	`conf`	A weighted algorithm of inductive transfer learning based on maximum entropy model. FSKD Yuhong Zhang, Xuegang Hu, Canhua Mei, Pei-Pei Li
2010	A*	`conf`	Learning from Concept Drifting Data Streams with Unlabeled Data. AAAI Pei-Pei Li, Xindong Wu, Xuegang Hu
2010	C	`conf`	Mining Recurring Concept Drifts with Limited Labeled Streaming Data. ACML Pei-Pei Li, Xindong Wu, Xuegang Hu
2010	Misc	`conf`	Pattern Matching with Flexible Wildcards and Recurring Characters. GrC Haiping Wang, Fei Xie, Xuegang Hu, Pei-Pei Li, Xindong Wu
2009	Misc	`conf`	A relation extraction method of Chinese named entities based on location and semantic features. GrC Hai-Guang Li, Gong-Qing Wu, Xuegang Hu, Xindong Wu, Yuan-Jun Bi, Pei-Pei Li
2009	—	`conf`	Clustering Web Services for Automatic Categorization. IEEE SCC Qianhui Liang, Pei-Pei Li, Patrick C. K. Hung, Xindong Wu
2009	—	`conf`	Concept Drifting Detection on Noisy Streaming Data in Random Ensemble Decision Trees. MLDM Pei-Pei Li, Xuegang Hu, Qianhui Liang, Yunjun Gao
2009	B	`conf`	Parameter Estimdation in Semi-Random Decision Tree Ensembling on Streaming Data. PAKDD Pei-Pei Li, Qianhui Liang, Xindong Wu, Xuegang Hu
2008	C	`conf`	Mining Concept-Drifting Data Streams with Multiple Semi-Random Decision Trees. ADMA Pei-Pei Li, Xuegang Hu, Xindong Wu
2007	—	`conf`	A Parallel Algorithm to Construct Concept Lattice. FSKD (2) Xuegang Hu, Xiang Wei, Dexing Wang, Pei-Pei Li
2007	J	`jnl`	A Semi-Random Multiple Decision-Tree Algorithm for Mining Data Streams. J. Comput. Sci. Technol. Xuegang Hu, Pei-Pei Li, Xindong Wu, Gong-Qing Wu