Peipei Li - RankMe

48 papers A* 1A 1B 9Journal 28Unranked 8

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Online multi-label classification under noisy and changing label distribution. Pattern Recognit. Yizhang Zou, Xuegang Hu, Peipei Li, You Wu, Jun Hu
2025	J	`jnl`	Collective Entity Linking based on Evolutionary Algorithms: A practical application. Inf. Sci. Jiao Li, Chenyang Bu, Jiacheng Liu, Peipei Li, Xindong Wu
2025	J	`jnl`	Denoising Implicit Feedback for Graph Collaborative Filtering via Causal Intervention. IEEE Trans. Big Data Huiting Liu, Huaxiu Zhang, Peipei Li, Peng Zhao, Xindong Wu
2025	J	`jnl`	Partial multi-label feature selection with feature noise. Pattern Recognit. You Wu, Peipei Li, Yizhang Zou
2025	A	`conf`	Robust Multi-Label Learning with Instance-Dependent Label Noise. CIKM You Wu, Yabo Shi, Yizhang Zou, Peipei Li
2025	J	`jnl`	Unbiased Meta Reinforcement Learning for Interactive Recommender Systems. IEEE Trans. Multim. Huiting Liu, Xinlong Lv, Peng Zhao, Peipei Li, Xindong Wu
2025	J	`jnl`	Use of data Mining in Identifying the risk factors of optic neuropathy. Comput. J. Abdulkawi Yahya Radman Al-Shamiri, Dong-Jun Yu, Peipei Li, Balqis Yahya Ali Abdullah Al-Mahweeti
2025	J	`jnl`	Weak Multi-Label Data Stream Classification Under Distribution Changes in Labels. IEEE Trans. Big Data Yizhang Zou, Xuegang Hu, Peipei Li, Jun Hu
2024	A*	`conf`	Class-Specific Semantic Generation and Reconstruction Learning for Open Set Recognition. IJCAI Haoyang Liu, Yaojin Lin, Peipei Li, Jun Hu, Xuegang Hu
2024	J	`jnl`	DeepCPR: Deep Path Reasoning Using Sequence of User-Preferred Attributes for Conversational Recommendation. ACM Trans. Knowl. Discov. Data Huiting Liu, Yu Zhang, Peipei Li, Cheng Qian, Peng Zhao, Xindong Wu
2024	J	`jnl`	Feature Selection for Efficient Local-to-global Bayesian Network Structure Learning. ACM Trans. Knowl. Discov. Data Kui Yu, Zhaolong Ling, Lin Liu, Peipei Li, Hao Wang, Jiuyong Li
2024	J	`jnl`	Knowledge and separating soft verbalizer based prompt-tuning for multi-label short text classification. Appl. Intell. Zhanwang Chen, Peipei Li, Xuegang Hu
2024	J	`jnl`	Learning shared and non-redundant label-specific features for partial multi-label classification. Inf. Sci. Yizhang Zou, Xuegang Hu, Peipei Li, Yuhang Ge
2023	B	`conf`	Global and Adaptive Local Label Correlation for Multi-label Learning with Missing Labels. IJCNN Qingxia Jiang, Peipei Li, Yuhong Zhang, Xuegang Hu
2023	J	`jnl`	REDRL: A review-enhanced Deep Reinforcement Learning model for interactive recommendation. Expert Syst. Appl. Huiting Liu, Kun Cai, Peipei Li, Cheng Qian, Peng Zhao, Xindong Wu
2023	J	`jnl`	Relation-propagation meta-learning on an explicit preference graph for cold-start recommendation. Knowl. Based Syst. Huiting Liu, Lei Wang, Peipei Li, Cheng Qian, Peng Zhao, Xindong Wu
2023	B	`conf`	Semi-supervised Multi-Label Learning with Missing Labels via Correlation Information. IJCNN Zexian Xie, Peipei Li, Jinling Jiang, Xindong Wu
2022	—	`conf`	A Structure-Aware Method for Cross-domain Text Classification. PRICAI (2) Yuhong Zhang, Lin Qian, Qi Zhang, Peipei Li, Guocheng Liu
2022	J	`jnl`	A deep selective learning network for cross-domain recommendation. Appl. Soft Comput. Huiting Liu, Qian Liu, Peipei Li, Peng Zhao, Xindong Wu
2022	B	`conf`	An Online Dirichlet Model based on Sentence Embedding and DBSCAN for Noisy Short Text Stream Clustering. IJCNN Xianliang Si, Peipei Li, Xuegang Hu, Yuhong Zhang
2022	J	`jnl`	General assembly framework for online streaming feature selection via Rough Set models. Expert Syst. Appl. Peng Zhou, Yunyun Zhang, Peipei Li, Xindong Wu
2022	—	`ed.`	IEEE International Conference on Knowledge Graph, ICKG 2022, Orlando, FL, USA, November 30 - Dec. 1, 2022 ICKG Peipei Li, Kui Yu, Nitesh V. Chawla, Ronen Feldman, Qing Li, Xindong Wu
2022	B	`conf`	Multi-Label Learning with Missing Labels via Common and Label-Specific Features. IJCNN Mengxuan Sun, Peipei Li, Junlong Li, Xuegang Hu
2022	—	`conf`	Multi-label Learning with Data Self-augmentation. ICONIP (4) Yuhang Ge, Xuegang Hu, Peipei Li, Haobo Wang, Junbo Zhao, Junlong Li
2022	—	`conf`	PU Matrix Completion Based Multi-label Classification with Missing Labels. ISDA (2) Zhidong Huang, Peipei Li, Xuegang Hu
2022	B	`conf`	Partial Multi-Label Feature Selection. IJCNN Jing Wang, Peipei Li, Kui Yu
2022	B	`conf`	Semi-Supervised Online Kernel Extreme Learning Machine for Multi-Label Data Stream Classification. IJCNN Shiyuan Qiu, Peipei Li, Xuegang Hu
2022	B	`conf`	Structure Similarity Graph for Cross-Network Node Classification. ICTAI Xinzheng Li, Yuhong Zhang, Peipei Li, Xuegang Hu
2021	—	`conf`	An Efficient Framework for Multi-Label Learning in Non-stationary Data Stream. ICBK Xiulin Zheng, Peipei Li
2021	J	`jnl`	Collaborative filtering with a deep adversarial and attention network for cross-domain recommendation. Inf. Sci. Huiting Liu, Lingling Guo, Peipei Li, Peng Zhao, Xindong Wu
2021	—	`conf`	Discovering Risk Factors of High Intraocular Pressure Infection Using Data Mining Algorithms. ICCDA Abdulkawi Yahya Radman Al-Shamiri, Peipei Li, Balqis Yahya Ali Abdullah Al-Mahweeti
2021	J	`jnl`	Feature Interaction for Streaming Feature Selection. IEEE Trans. Neural Networks Learn. Syst. Peng Zhou, Peipei Li, Shu Zhao, Xindong Wu
2021	B	`conf`	Multi-Label Learning with Missing Features. IJCNN Junlong Li, Peipei Li, Yizhang Zou, Xuegang Hu
2021	B	`conf`	Multi-Label Streaming Feature Selection via Class-Imbalance Aware Rough Set. IJCNN Yizhang Zou, Xuegang Hu, Peipei Li, Junlong Li
2021	J	`jnl`	Online early terminated streaming feature selection based on Rough Set theory. Appl. Soft Comput. Peng Zhou, Peipei Li, Shu Zhao, Yanping Zhang
2021	J	`jnl`	Semi-supervised classification on data streams with recurring concept drift and concept evolution. Knowl. Based Syst. Xiulin Zheng, Peipei Li, Xuegang Hu, Kui Yu
2021	J	`jnl`	Shared-view and specific-view information extraction for recommendation. Expert Syst. Appl. Huiting Liu, Jindou Zhao, Peipei Li, Peng Zhao, Xindong Wu
2020	J	`jnl`	A Survey on Multi-Label Data Stream Classification. IEEE Access Xiulin Zheng, Peipei Li, Zhe Chu, Xuegang Hu
2020	J	`jnl`	Corrections to "An Effective Confidence-Based Early Classification of Time Series". IEEE Access Junwei Lv, Xuegang Hu, Lei Li, Peipei Li
2020	—	`conf`	Learning Wasserstein Distance-Based Gaussian Graphical Model for Multivariate Time Series Classification. ICKG Xuegang Hu, Jianxing Liao, Peipei Li, Junwei Lv, Lei Li
2020	J	`jnl`	Multi-fuzzy-objective graph pattern matching in big graph environments with reliability, trust and social relationship. World Wide Web Lei Li, Fang Zhang, Zan Zhang, Peipei Li, Chenyang Bu
2020	J	`jnl`	Representation learning via serial robust autoencoder for domain adaptation. Expert Syst. Appl. Shuai Yang, Yuhong Zhang, Hao Wang, Peipei Li, Xuegang Hu
2020	J	`jnl`	Semi-supervised representation learning via dual autoencoders for domain adaptation. Knowl. Based Syst. Shuai Yang, Hao Wang, Yuhong Zhang, Peipei Li, Yi Zhu, Xuegang Hu
2019	—	`conf`	Co-training Based on Semi-Supervised Ensemble Classification Approach for Multi-label Data Stream. ICBK Zhe Chu, Peipei Li, Xuegang Hu
2019	J	`jnl`	Marginalized Stacked Denoising Autoencoder With Adaptive Noise Probability for Cross Domain Classification. IEEE Access Yuhong Zhang, Shuai Yang, Peipei Li, Xuegang Hu, Hao Wang
2019	J	`jnl`	Semi-supervised representation learning via dual autoencoders for domain adaptation. CoRR Shuai Yang, Hao Wang, Yuhong Zhang, Yi Zhu, Peipei Li, Xuegang Hu
2019	J	`jnl`	Transfer learning with deep manifold regularized auto-encoders. Neurocomputing Yi Zhu, Xindong Wu, Peipei Li, Yuhong Zhang, Xuegang Hu
2019	—	`conf`	Unsupervised Cross-Lingual Word Embeddings Learning with Adversarial Training. ICBK Yuling Li, Yuhong Zhang, Peipei Li, Xuegang Hu