Peng Zhao

50 papers A* 1C 1Journal 45Unranked 3
YearRankTypeTitle / Venue / Authors
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
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
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
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
Robust label propagation based on prior-guided cross domain data augmentation for few-shot unsupervised domain adaptation.
Knowl. Based Syst.
Peng Zhao, Jiakun Shi, Ping Ye, Huiting Liu, Xia Ji
2025 J jnl
Unbiased Meta Reinforcement Learning for Interactive Recommender Systems.
IEEE Trans. Multim.
Huiting Liu, Xinlong Lv, Peng Zhao, Peipei Li, Xindong Wu
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
Few-shot learning based on prototype rectification with a self-attention mechanism.
Expert Syst. Appl.
Peng Zhao, Liang Wang, Xuyang Zhao, Huiting Liu, Xia Ji
2024 A* conf
Multi-Attention Based Visual-Semantic Interaction for Few-Shot Learning.
IJCAI
Peng Zhao, Yin Wang, Wei Wang, Jie Mu, Huiting Liu, Cong Wang, Xiaochun Cao
2024 J jnl
Multi-scale task-aware structure graph modeling for few-shot image recognition.
Pattern Recognit.
Peng Zhao, Zilong Ye, Liang Wang, Huiting Liu, Xia Ji
2023 J jnl
Adaptive active learning through k-nearest neighbor optimized local density clustering.
Appl. Intell.
Xia Ji, Wanli Ye, Xuejun Li, Peng Zhao, Sheng Yao
2023 J jnl
Attribute reduction based on fusion information entropy.
Int. J. Approx. Reason.
Xia Ji, Jie Li, Sheng Yao, Peng Zhao
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
Extended rough sets model based on fuzzy granular ball and its attribute reduction.
Inf. Sci.
Xia Ji, Jianhua Peng, Peng Zhao, Sheng Yao
2023 J jnl
Fast and General Incomplete Multi-view Adaptive Clustering.
Cogn. Comput.
Xia Ji, Lei Yang, Sheng Yao, Peng Zhao, Xuejun Li
2023 J jnl
Feature relocation network for fine-grained image classification.
Neural Networks
Peng Zhao, Yi Li, Baowei Tang, Huiting Liu, Sheng Yao
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 J jnl
Zero-shot learning via visual feature enhancement and dual classifier learning for image recognition.
Inf. Sci.
Peng Zhao, Huihui Xue, Xia Ji, Huiting Liu, Li Han
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 J jnl
Clustering ensemble based on approximate accuracy of the equivalence granularity.
Appl. Soft Comput.
Xia Ji, Shuaishuai Liu, Lei Yang, Wanli Ye, Peng Zhao
2022 J jnl
Correction to: Clustering Ensemble Based on Sample's Certainty.
Cogn. Comput.
Xia Ji, Shuaishuai Liu, Peng Zhao, Xuejun Li, Qiong Liu
2022 J jnl
Partial multi-label learning based on sparse asymmetric label correlations.
Knowl. Based Syst.
Peng Zhao, Shiyi Zhao, Xuyang Zhao, Huiting Liu, Xia Ji
2021 J jnl
Clustering Ensemble Based on Sample's Certainty.
Cogn. Comput.
Xia Ji, Shuaishuai Liu, Peng Zhao, Xuejun Li, Qiong Liu
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
L2-CVAEGAN: Feature Aligned Generative Networks for Zero-Shot Learning.
ICIG (1)
Jinhui Liu, Peng Zhao
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
Multi-level progressive parallel attention guided salient object detection for RGB-D images.
Vis. Comput.
Zhengyi Liu, Quntao Duan, Song Shi, Peng Zhao
2021 J jnl
Robust transfer learning based on Geometric Mean Metric Learning.
Knowl. Based Syst.
Peng Zhao, Tao Wu, Shiyi Zhao, Huiting Liu
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
2021 C conf
The Out-of-Vocabulary Spelling Correction Model in a New Domain for End-to-End Automatic Speech Recognition.
CIS
Peng Zhao, Baowei Tang, Chen Liao, Xin Wang
2021 J jnl
Zero-shot Learning via the fusion of generation and embedding for image recognition.
Inf. Sci.
Peng Zhao, Siying Zhang, Jinhui Liu, Huiting Liu
2020 J jnl
A Transductive Transfer Learning Approach Based on Manifold Learning.
Comput. Sci. Eng.
Peng Zhao, Guoqin Wu, Sheng Yao, Huiting Liu
2020 J jnl
A cross-modal adaptive gated fusion generative adversarial network for RGB-D salient object detection.
Neurocomputing
Zhengyi Liu, Wei Zhang, Peng Zhao
2020 J jnl
Collaborative deep recommendation with global and local item correlations.
Neurocomputing
Huiting Liu, Huimin Liu, Qiang Ji, Peng Zhao, Xindong Wu
2020 J jnl
Robust salient object detection for RGB images.
Vis. Comput.
Zhengyi Liu, Qian Xiang, Jiting Tang, Yuan Wang, Peng Zhao
2020 J jnl
Salient object detection for RGB-D images by generative adversarial network.
Multim. Tools Appl.
Zhengyi Liu, Jiting Tang, Qian Xiang, Peng Zhao
2020 J jnl
Salient object detection via hybrid upsampling and hybrid loss computing.
Vis. Comput.
Zhengyi Liu, Jiting Tang, Peng Zhao
2019 J jnl
A cross-media heterogeneous transfer learning for preventing over-adaption.
Appl. Soft Comput.
Peng Zhao, Haoyuan Gao, Yijuan Lu, Tao Wu
2019 J jnl
A sketch recognition method based on transfer deep learning with the fusion of multi-granular sketches.
Multim. Tools Appl.
Peng Zhao, Yang Liu, Yijuan Lu, Benpeng Xu
2019 J jnl
Document Specific Supervised Keyphrase Extraction With Strong Semantic Relations.
IEEE Access
Huiting Liu, Lili Wang, Peng Zhao, Xindong Wu
2019 — conf
Progressive Scale Expansion Network with Octave Convolution for Arbitrary Shape Scene Text Detection.
ACPR (1)
Shi Yan, Wei Feng, Peng Zhao, Cheng-Lin Liu
2019 J jnl
Salient object detection for RGB-D image by single stream recurrent convolution neural network.
Neurocomputing
Zhengyi Liu, Song Shi, Quntao Duan, Wei Zhang, Peng Zhao
2018 J jnl
Efficient pattern matching with periodical wildcards in uncertain sequences.
Intell. Data Anal.
Huiting Liu, Lili Wang, Zhizhong Liu, Peng Zhao, Xindong Wu
2018 J jnl
Mining frequent itemsets over uncertain data streams.
Int. J. High Perform. Comput. Netw.
Huiting Liu, Kaishen Zhou, Peng Zhao, Sheng Yao
2018 J jnl
Supervised Convolutional Matrix Factorization for Document Recommendation.
Int. J. Comput. Intell. Appl.
Huiting Liu, Chao Ling, Liangquan Yang, Peng Zhao
2018 J jnl
Transfer robust sparse coding based on graph and joint distribution adaption for image representation.
Knowl. Based Syst.
Peng Zhao, Wei Wang, Yijuan Lu, Huiting Liu, Sheng Yao
2018 J jnl
实时个性化微博推荐系统 (Real-time Personalized Micro-blog Recommendation System).
计算机科学
Huiting Liu, Lei Cheng, Xiaoxue Guo, Peng Zhao
2016 J jnl
A novel hand-drawn sketch descriptor based on the fusion of multiple features.
Neurocomputing
Peng Zhao, Guoqin Wu, Yijuan Lu, Xianwen Wu, Sheng Yao
2013 — conf
Automatic image annotation using semantic relevance.
ICIMCS
Peng Zhao, Yijuan Lu, Wenbin Wang, Weiwei Zhu