Automatic image annotation using semantic relevance. - Peng Zhao 010; Yijuan Lu; Wenbin Wang; Weiwei Zhu (ICIMCS, 2013)

A novel hand-drawn sketch descriptor based on the fusion of multiple features. - Peng Zhao 010; Guoqin Wu; Yijuan Lu; Xianwen Wu; Sheng Yao (Neurocomputing, 2016)

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)

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)

Progressive Scale Expansion Network with Octave Convolution for Arbitrary Shape Scene Text Detection. - Shi Yan; Wei Feng; Peng Zhao 010; Cheng-Lin Liu (ACPR (1), 2019)

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

A cross-media heterogeneous transfer learning for preventing over-adaption. - Peng Zhao 010; Haoyuan Gao; Yijuan Lu; Tao Wu (Appl. Soft Comput., 2019)

Salient object detection for RGB-D image by single stream recurrent convolution neural network. - Zhengyi Liu; Song Shi; Quntao Duan; Wei Zhang 098; Peng Zhao 010 (Neurocomputing, 2019)

A sketch recognition method based on transfer deep learning with the fusion of multi-granular sketches. - Peng Zhao 010; Yang Liu; Yijuan Lu; Benpeng Xu (Multim. Tools Appl., 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)

A cross-modal adaptive gated fusion generative adversarial network for RGB-D salient object detection. - Zhengyi Liu; Wei Zhang 098; Peng Zhao 010 (Neurocomputing, 2020)

Salient object detection for RGB-D images by generative adversarial network. - Zhengyi Liu; Jiting Tang; Qian Xiang; Peng Zhao 010 (Multim. Tools Appl., 2020)

Salient object detection via hybrid upsampling and hybrid loss computing. - Zhengyi Liu; Jiting Tang; Peng Zhao 010 (Vis. Comput., 2020)

Robust salient object detection for RGB images. - Zhengyi Liu; Qian Xiang; Jiting Tang; Yuan Wang; Peng Zhao 010 (Vis. Comput., 2020)

The Out-of-Vocabulary Spelling Correction Model in a New Domain for End-to-End Automatic Speech Recognition. - Peng Zhao 010; Baowei Tang; Chen Liao; Xin Wang (CIS, 2021)

L2-CVAEGAN: Feature Aligned Generative Networks for Zero-Shot Learning. - Jinhui Liu; Peng Zhao 010 (ICIG (1), 2021)

Clustering Ensemble Based on Sample's Certainty. - Xia Ji 002; Shuaishuai Liu; Peng Zhao 010; Xuejun Li 001; Qiong Liu (Cogn. Comput., 2021)

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)

Multi-level progressive parallel attention guided salient object detection for RGB-D images. - Zhengyi Liu; Quntao Duan; Song Shi; Peng Zhao 010 (Vis. Comput., 2021)

Clustering ensemble based on approximate accuracy of the equivalence granularity. - Xia Ji 002; Shuaishuai Liu; Lei Yang; Wanli Ye; Peng Zhao 010 (Appl. Soft Comput., 2022)

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)

Correction to: Clustering Ensemble Based on Sample's Certainty. - Xia Ji 002; Shuaishuai Liu; Peng Zhao 010; Xuejun Li 001; Qiong Liu (Cogn. 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)

Fast and General Incomplete Multi-view Adaptive Clustering. - Xia Ji 002; Lei Yang; Sheng Yao; Peng Zhao 010; Xuejun Li 001 (Cogn. Comput., 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)

Adaptive active learning through k-nearest neighbor optimized local density clustering. - Xia Ji 002; Wanli Ye; Xuejun Li 001; Peng Zhao 010; Sheng Yao (Appl. Intell., 2023)

Attribute reduction based on fusion information entropy. - Xia Ji 002; Jie Li; Sheng Yao; Peng Zhao 010 (Int. J. Approx. Reason., 2023)

Extended rough sets model based on fuzzy granular ball and its attribute reduction. - Xia Ji 002; Jianhua Peng; Peng Zhao 010; Sheng Yao (Inf. Sci., 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)