Peipei Li

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 30

Top Topics

Feature Selection

Data Stream Classification

Top Venues

Expert Syst. Appl.

Knowl. Based Syst.

Publications

Huiting Liu, Yu Zhang, Peipei Li, Cheng Qian, Peng Zhao, Xindong Wu
DeepCPR: Deep Path Reasoning Using Sequence of User-Preferred Attributes for Conversational Recommendation. ACM Trans. Knowl. Discov. Data 18 (1) (2024)
Yizhang Zou, Xuegang Hu, Peipei Li, Yuhang Ge
Learning shared and non-redundant label-specific features for partial multi-label classification. Inf. Sci. 656 (2024)
Zexian Xie, Peipei Li, Jinling Jiang, Xindong Wu
Semi-supervised Multi-Label Learning with Missing Labels via Correlation Information. IJCNN (2023)
Huiting Liu, Kun Cai, Peipei Li, Cheng Qian, Peng Zhao, Xindong Wu
REDRL: A review-enhanced Deep Reinforcement Learning model for interactive recommendation. Expert Syst. Appl. 213 (Part) (2023)
Huiting Liu, Lei Wang, Peipei Li, Cheng Qian, Peng Zhao, Xindong Wu
Relation-propagation meta-learning on an explicit preference graph for cold-start recommendation. Knowl. Based Syst. 272 (2023)
Shiyuan Qiu, Peipei Li, Xuegang Hu
Semi-Supervised Online Kernel Extreme Learning Machine for Multi-Label Data Stream Classification. IJCNN (2022)
Xianliang Si, Peipei Li, Xuegang Hu, Yuhong Zhang
An Online Dirichlet Model based on Sentence Embedding and DBSCAN for Noisy Short Text Stream Clustering. IJCNN (2022)
Huiting Liu, Qian Liu, Peipei Li, Peng Zhao, Xindong Wu
A deep selective learning network for cross-domain recommendation. Appl. Soft Comput. 125 (2022)
Peng Zhou, Yunyun Zhang, Peipei Li, Xindong Wu
General assembly framework for online streaming feature selection via Rough Set models. Expert Syst. Appl. 204 (2022)
Jing Wang, Peipei Li, Kui Yu
Partial Multi-Label Feature Selection. IJCNN (2022)
Mengxuan Sun, Peipei Li, Junlong Li, Xuegang Hu
Multi-Label Learning with Missing Labels via Common and Label-Specific Features. IJCNN (2022)
Junlong Li, Peipei Li, Yizhang Zou, Xuegang Hu
Multi-Label Learning with Missing Features. IJCNN (2021)
Huiting Liu, Jindou Zhao, Peipei Li, Peng Zhao, Xindong Wu
Shared-view and specific-view information extraction for recommendation. Expert Syst. Appl. 186 (2021)
Huiting Liu, Lingling Guo, Peipei Li, Peng Zhao, Xindong Wu
Collaborative filtering with a deep adversarial and attention network for cross-domain recommendation. Inf. Sci. 565 (2021)
Xiulin Zheng, Peipei Li, Xuegang Hu, Kui Yu
Semi-supervised classification on data streams with recurring concept drift and concept evolution. Knowl. Based Syst. 215 (2021)
Xiulin Zheng, Peipei Li
An Efficient Framework for Multi-Label Learning in Non-stationary Data Stream. ICBK (2021)
Peng Zhou, Peipei Li, Shu Zhao, Xindong Wu
Feature Interaction for Streaming Feature Selection. IEEE Trans. Neural Networks Learn. Syst. 32 (10) (2021)
Yizhang Zou, Xuegang Hu, Peipei Li, Junlong Li
Multi-Label Streaming Feature Selection via Class-Imbalance Aware Rough Set. IJCNN (2021)
Peng Zhou, Peipei Li, Shu Zhao, Yanping Zhang
Online early terminated streaming feature selection based on Rough Set theory. Appl. Soft Comput. 113 (Part) (2021)
Shuai Yang, Hao Wang, Yuhong Zhang, Peipei Li, Yi Zhu, Xuegang Hu
Semi-supervised representation learning via dual autoencoders for domain adaptation. Knowl. Based Syst. 190 (2020)
Xuegang Hu, Jianxing Liao, Peipei Li, Junwei Lv, Lei Li
Learning Wasserstein Distance-Based Gaussian Graphical Model for Multivariate Time Series Classification. ICKG (2020)
Junwei Lv, Xuegang Hu, Lei Li, Peipei Li
Corrections to "An Effective Confidence-Based Early Classification of Time Series". IEEE Access 8 (2020)
Lei Li, Fang Zhang, Zan Zhang, Peipei Li, Chenyang Bu
Multi-fuzzy-objective graph pattern matching in big graph environments with reliability, trust and social relationship. World Wide Web 23 (1) (2020)
Shuai Yang, Yuhong Zhang, Hao Wang, Peipei Li, Xuegang Hu
Representation learning via serial robust autoencoder for domain adaptation. Expert Syst. Appl. 160 (2020)
Xiulin Zheng, Peipei Li, Zhe Chu, Xuegang Hu
A Survey on Multi-Label Data Stream Classification. IEEE Access 8 (2020)
Yi Zhu, Xindong Wu, Peipei Li, Yuhong Zhang, Xuegang Hu
Transfer learning with deep manifold regularized auto-encoders. Neurocomputing 369 (2019)
Zhe Chu, Peipei Li, Xuegang Hu
Co-training Based on Semi-Supervised Ensemble Classification Approach for Multi-label Data Stream. ICBK (2019)
Yuling Li, Yuhong Zhang, Peipei Li, Xuegang Hu
Unsupervised Cross-Lingual Word Embeddings Learning with Adversarial Training. ICBK (2019)
Yuhong Zhang, Shuai Yang, Peipei Li, Xuegang Hu, Hao Wang
Marginalized Stacked Denoising Autoencoder With Adaptive Noise Probability for Cross Domain Classification. IEEE Access 7 (2019)
Shuai Yang, Hao Wang, Yuhong Zhang, Yi Zhu, Peipei Li, Xuegang Hu
Semi-supervised representation learning via dual autoencoders for domain adaptation. CoRR (2019)