Efficient pattern matching with periodical wildcards in uncertain sequences. - Huiting Liu 001; Lili Wang; Zhizhong Liu; Peng Zhao 010; Xindong Wu 001 (Intell. Data Anal., 2018)

Collaborative social deep learning for celebrity recommendation. - Huiting Liu 001; Liangquan Yang; Chao Ling; Xindong Wu 001 (Intell. Data Anal., 2018)

Supervised Convolutional Matrix Factorization for Document Recommendation. - Huiting Liu 001; Chao Ling; Liangquan Yang; Peng Zhao 010 (Int. J. Comput. Intell. Appl., 2018)

Mining frequent itemsets over uncertain data streams. - Huiting Liu 001; Kaishen Zhou; Peng Zhao 010; Sheng Yao (Int. J. High Perform. Comput. Netw., 2018)

Transfer robust sparse coding based on graph and joint distribution adaption for image representation. - Peng Zhao 010; Wei Wang; Yijuan Lu; Huiting Liu 001; Sheng Yao (Knowl. Based Syst., 2018)

Document Specific Supervised Keyphrase Extraction With Strong Semantic Relations. - Huiting Liu 001; Lili Wang; Peng Zhao 010; Xindong Wu 001 (IEEE Access, 2019)

A Transductive Transfer Learning Approach Based on Manifold Learning. - Peng Zhao 010; Guoqin Wu; Sheng Yao; Huiting Liu 001 (Comput. Sci. Eng., 2020)

Collaborative deep recommendation with global and local item correlations. - Huiting Liu 001; Huimin Liu; Qiang Ji; Peng Zhao 010; Xindong Wu 001 (Neurocomputing, 2020)

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)

Zero-shot Learning via the fusion of generation and embedding for image recognition. - Peng Zhao 010; Siying Zhang; Jinhui Liu; Huiting Liu 001 (Inf. Sci., 2021)

Robust transfer learning based on Geometric Mean Metric Learning. - Peng Zhao 010; Tao Wu; Shiyi Zhao; Huiting Liu 001 (Knowl. Based Syst., 2021)

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)

Partial multi-label learning based on sparse asymmetric label correlations. - Peng Zhao 010; Shiyi Zhao; Xuyang Zhao; Huiting Liu 001; Xia Ji 002 (Knowl. Based Syst., 2022)

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)

Zero-shot learning via visual feature enhancement and dual classifier learning for image recognition. - Peng Zhao 010; Huihui Xue; Xia Ji 002; Huiting Liu 001; Li Han (Inf. Sci., 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)

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)

Few-shot learning based on prototype rectification with a self-attention mechanism. - Peng Zhao 010; Liang Wang; Xuyang Zhao; Huiting Liu 001; Xia Ji 002 (Expert Syst. Appl., 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)

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)

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)

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)

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)