Research on network information filtering model based on fuzzy set. - Peiyu Liu 001; Yuguo Liu (InfoSecu, 2004)

Research on E-mail Filtering Based On Improved Bayesian. - Peiyu Liu 001; Li-Wei Zhang; Zhen-fang Zhu (J. Comput., 2009)

Research on Information Retrieval System Based on Ant Clustering Algorithm. - Peiyu Liu 001; Zhenfang Zhu; Lina Zhao (J. Softw., 2009)

Email Representation using Noncharacteristic Information and its Application. - Peiyu Liu 001; Jing Zhao; Zhen-fang Zhu (J. Convergence Inf. Technol., 2010)

An improved fuzzy C-means clustering algorithm based on simulated annealing. - Peiyu Liu 001; Linshan Duan; Xuezhi Chi; Zhenfang Zhu (FSKD, 2013)

A Kind of Improved Detection and Prevention of Trojan Horse Based on Attack Tree. - Peiyu Liu 001; Bingru Niu; Zhenfang Zhu (ICPCA/SWS, 2013)

Optimization of fuzzy C-means based on OBL-genetic algorithm. - Xiao Pan; Peiyu Liu 001; Min Ren; Lin Lv (ICNC-FSKD, 2016)

An improved mixed-type data based kernel clustering algorithm. - Min Ren; Peiyu Liu 001; Zhihao Wang; Xiao Pan (ICNC-FSKD, 2016)

A Self-Adaptive Fuzzy c-Means Algorithm for Determining the Optimal Number of Clusters. - Min Ren; Peiyu Liu 001; Zhihao Wang; Jing Yi (Comput. Intell. Neurosci., 2016)

Intrusion detection algorithms based on correlation information entropy and binary particle swarm optimization. - Yan-Fei Wang; Peiyu Liu 001; Min Ren; Xiao-Xue Chen (ICNC-FSKD, 2017)

A recommendation algorithm based on density peak clustering and key users. - Peipei Wang; Peiyu Liu 001; Ru Wang 001; Zhen-fang Zhu (ICNC-FSKD, 2017)

Improved SIR Advertising Spreading Model and Its Effectiveness in Social Network. - Jing Yi; Peiyu Liu 001; Xiaobing Tang; Wenfeng Liu (IIKI, 2017)

Recommendation Algorithm Based on Multi-Label Clustering and Core Users. - Peiyu Liu 001; Peipei Wang; Ru Wang 001; Wenfeng Liu (CSCWD, 2018)

Research of Social Network Information Transmission Based on User Influence. - Zhenfang Zhu; Peipei Wang; Peiyu Liu 001; Fei Wang (ICIC (3), 2018)

A Sentence Similarity Model Based on Word Embeddings and Dependency Syntax-Tree. - Wenfeng Liu; Peiyu Liu 001; Jing Yi; Yuzhen Yang; Weitong Liu; Nana Li (ICONIP (3), 2018)

An Extended Multiple Attribute Group Decision Making Method Based on q-Rung Orthopair Fuzzy Numbers. - Peiyu Liu 001; Peide Liu; Peng Wang 045; Baoying Zhu (IEEE Access, 2019)

Aspect Based Sentiment Analysis With Feature Enhanced Attention CNN-BiLSTM. - Wei Meng; Yongqing Wei; Peiyu Liu 001; Zhenfang Zhu; Hongxia Yin (IEEE Access, 2019)

Capsule Network With Identifying Transferable Knowledge for Cross-Domain Sentiment Classification. - Hongxia Yin; Peiyu Liu 001; Zhenfang Zhu; Wenkuan Li; Qianqian Wang 007 (IEEE Access, 2019)

Interactive Multi-Head Attention Networks for Aspect-Level Sentiment Classification. - Qiuyue Zhang; Ran Lu; Qicai Wang; Zhenfang Zhu; Peiyu Liu 001 (IEEE Access, 2019)

A embedding model for text classification. - Wenfeng Liu; Peiyu Liu 001; Yuzhen Yang; Jing Yi; Zhenfang Zhu (Expert Syst. J. Knowl. Eng., 2019)

An Improved Approach for Text Sentiment Classification Based on a Deep Neural Network via a Sentiment Attention Mechanism. - Wenkuan Li; Peiyu Liu 001; Qiuyue Zhang; Wenfeng Liu (Future Internet, 2019)

Influence Maximization in Social Network Considering Memory Effect and Social Reinforcement Effect. - Fei Wang; Zhenfang Zhu; Peiyu Liu 001; Peipei Wang (Future Internet, 2019)

Feature-aware unsupervised learning with joint variational attention and automatic clustering. - Ru Wang 001; Lin Li 001; Peipei Wang; Xiaohui Tao 001; Peiyu Liu 001 (ICPR, 2020)

A Fusion Model-Based Label Embedding and Self-Interaction Attention for Text Classification. - Yanru Dong; Peiyu Liu 001; Zhenfang Zhu; Qicai Wang; Qiuyue Zhang (IEEE Access, 2020)

A Parameter-Free Outlier Detection Algorithm Based on Dataset Optimization Method. - Liying Wang; Lei Shi; Liancheng Xu; Peiyu Liu 001; Lindong Zhang; Yanru Dong (Inf., 2020)

Triple Tag Network for Aspect-Level Sentiment Classification. - Guangtao Xu; Peiyu Liu 001; Zhenfang Zhu; Ru Wang 001; Fuyong Xu; Dun Jin (ICONIP (6), 2021)

RMPD: Method for Enhancing the Robustness of Recommendations With Attack Environments. - Qi Ding; Peiyu Liu 001; Zhenfang Zhu; Huajuan Duan; Fuyong Xu (IEEE Access, 2021)

Aspect-gated graph convolutional networks for aspect-based sentiment analysis. - Qiang Lu 006; Zhenfang Zhu; Guangyuan Zhang; Shiyong Kang; Peiyu Liu 001 (Appl. Intell., 2021)

A reasoning enhance network for muti-relation question answering. - Wenqing Wu; Zhenfang Zhu; Guangyuan Zhang; Shiyong Kang; Peiyu Liu 001 (Appl. Intell., 2021)

Syntactic and semantic analysis network for aspect-level sentiment classification. - Dianyuan Zhang; Zhenfang Zhu; Shiyong Kang; Guangyuan Zhang; Peiyu Liu 001 (Appl. Intell., 2021)

Trio-based collaborative multi-view graph clustering with multiple constraints. - Ru Wang 001; Lin Li 001; Xiaohui Tao 001; Xiao Dong; Peipei Wang; Peiyu Liu 001 (Inf. Process. Manag., 2021)

Research on twin-SIR rumor spreading model in online social network. - Jing Yi; Peiyu Liu 001; Zhihao Wang; Wenfeng Liu (J. Intell. Fuzzy Syst., 2021)

GCL-KGE: Graph Contrastive Learning for Knowledge Graph Embedding. - Qimeng Guo; Huajuan Duan; Chuanhao Dong; Peiyu Liu 001; Liancheng Xu (ICONIP (4), 2022)

Aspect-based Sentiment Analysis with Graph Convolutional Networks over Dependency Awareness. - Xue Wang; Peiyu Liu 001; Zhenfang Zhu; Ran Lu (ICPR, 2022)

Improving Persona Understanding for Persona-based Dialogue Generation with Diverse Knowledge Selection. - Yuanying Wang; Fuyong Xu; Ru Wang 001; Zhenfang Zhu; Peiyu Liu 001; Ran Lu (ICPR, 2022)

IMCN: Identifying Modal Contribution Network for Multimodal Sentiment Analysis. - Qiongan Zhang; Lei Shi; Peiyu Liu 001; Zhenfang Zhu; Liancheng Xu (ICPR, 2022)

Interactive Double Graph Convolutional Networks for Aspect-based Sentiment Analysis. - Xue Wang; Peiyu Liu 001; Zhenfang Zhu; Ran Lu (IJCNN, 2022)

PAGE: Endowing Dialogue Agents with Personalized Characters via Persona Perception. - Jiaxin Li; Fuyong Xu; Yuanying Wang; Peiyu Liu 001; Zhenfang Zhu; Jinlong Wang (SmartWorld/UIC/ScalCom/DigitalTwin/PriComp/Meta, 2022)

News-SBG: A novel news classification model with delivered label representation. - Yao Tang; Fuyong Xu; Peiyu Liu 001 (SmartWorld/UIC/ScalCom/DigitalTwin/PriComp/Meta, 2022)

MGSF: Towards Multi-Graphs Semantic Fusion for Multi-behavior Recommendation. - Yingzheng Zhu; Xiufang Liang; Huajuan Duan; Fuyong Xu; Peiyu Liu 001; Ran Lu (SmartWorld/UIC/ScalCom/DigitalTwin/PriComp/Meta, 2022)

Automatically Generating Code Comment Using Heterogeneous Graph Neural Networks. - Dun Jin; Peiyu Liu 001; Zhenfang Zhu (SANER, 2022)

Diverse dialogue generation by fusing mutual persona-aware and self-transferrer. - Fuyong Xu; Guangtao Xu; Yuanying Wang; Ru Wang 001; Qi Ding; Peiyu Liu 001; Zhenfang Zhu (Appl. Intell., 2022)

A traceable privacy-aware data publishing platform on permissioned blockchain. - Fengyin Li; Xueqing Sun; Peiyu Liu 001; Xiao Li; Yang Cui; Xiaojiao Wang (Trans. Emerg. Telecommun. Technol., 2022)

IPSadas: Identity-privacy-aware secure and anonymous data aggregation scheme. - Pei Ren; Fengyin Li; Ying Wang 124; Huiyu Zhou 001; Peiyu Liu 001 (Int. J. Intell. Syst., 2022)

Targeted sentiment classification with multi-attention network. - Xiao Tian; Peiyu Liu 001; Zhenfang Zhu (Int. J. Wirel. Mob. Comput., 2022)

Contrastive and attentive graph learning for multi-view clustering. - Ru Wang 001; Lin Li 001; Xiaohui Tao 001; Peipei Wang; Peiyu Liu 001 (Inf. Process. Manag., 2022)

Enhancing aspect and opinion terms semantic relation for aspect sentiment triplet extraction. - Yongsheng Zhang; Qi Ding; Zhenfang Zhu; Peiyu Liu 001; Fu Xie (J. Intell. Inf. Syst., 2022)

Deep boundary-aware clustering by jointly optimizing unsupervised representation learning. - Ru Wang 001; Lin Li 001; Peipei Wang; Xiaohui Tao 001; Peiyu Liu 001 (Multim. Tools Appl., 2022)

Graph convolutional networks with hierarchical multi-head attention for aspect-level sentiment classification. - Xiaowen Li; Ran Lu; Peiyu Liu 001; Zhenfang Zhu (J. Supercomput., 2022)

Mixed Information Flow for Cross-Domain Sequential Recommendations. - Muyang Ma; Pengjie Ren; Zhumin Chen; Zhaochun Ren; Lifan Zhao; Peiyu Liu 001; Jun Ma 001; Maarten de Rijke (ACM Trans. Knowl. Discov. Data, 2022)

MSAM: Deep Semantic Interaction Network for Visual Question Answering. - Fan Wang; Bin Wang; Fuyong Xu; Jiaxin Li; Peiyu Liu 001 (CollaborateCom (2), 2023)

Community Detection with Graph Convolutional Auto-Encoder and Deep Clustering. - Ru Wang 001; Peipei Wang; Lin Li 001; Peiyu Liu 001 (CSCWD, 2023)

C3BR: Category-Aware Cross-View Contrastive Learning Framework for Bundle Recommendation. - Fuyong Xu; Zhenfang Zhu; Peiyu Liu 001; Ru Wang 001 (DASFAA (Workshops), 2023)

CACL: Commonsense-Aware Contrastive Learning for Knowledge Graph Completion. - Chuanhao Dong; Fuyong Xu; Yuanying Wang; Peiyu Liu 001; Liancheng Xu (ICONIP (14), 2023)

Exploiting User Preference in GNN-based Social Recommendation with Contrastive Learning. - Xiufang Liang; Yingzheng Zhu; Huajuan Duan; Fuyong Xu; Peiyu Liu 001; Ran Lu (IJCNN, 2023)

Discriminating Information of Modality Contributions Network by Gating Mechanism and Multi-Task Learning. - Qiongan Zhang; Lei Shi; Peiyu Liu 001; Liancheng Xu (IJCNN, 2023)

Multitask-Based Cluster Transmission for Few-Shot Text Classification. - Kaifang Dong; Fuyong Xu; Baoxing Jiang; Hongye Li; Peiyu Liu 001 (KSEM (1), 2023)

Knowledge-Grounded Dialogue Generation with Contrastive Knowledge Selection. - Bin Wang; Fuyong Xu; Zhenfang Zhu; Peiyu Liu 001 (WISE, 2023)

RFAN: Relation-fused multi-head attention network for knowledge graph enhanced recommendation. - Huajuan Duan; Peiyu Liu 001; Qi Ding (Appl. Intell., 2023)

Exploring semantic awareness via graph representation for text classification. - Yahui Li; Yifan Liu; Zhenfang Zhu; Peiyu Liu 001 (Appl. Intell., 2023)

DCAT: Combining Multisemantic Dual-Channel Attention Fusion for Text Classification. - Kaifang Dong; Yifan Liu; Fuyong Xu; Peiyu Liu 001 (IEEE Intell. Syst., 2023)

A dynamic graph expansion network for multi-hop knowledge base question answering. - Wenqing Wu; Zhenfang Zhu; Jiangtao Qi; Wenling Wang; Guangyuan Zhang; Peiyu Liu 001 (Neurocomputing, 2023)

Knowledge-guided multi-granularity GCN for ABSA. - Zhenfang Zhu; Dianyuan Zhang; Lin Li 001; Kefeng Li; Jiangtao Qi; Wenling Wang; Guangyuan Zhang; Peiyu Liu 001 (Inf. Process. Manag., 2023)

A knowledge inference model for question answering on an incomplete knowledge graph. - Qimeng Guo; Xue Wang; Zhenfang Zhu; Peiyu Liu 001; Liancheng Xu (Appl. Intell., 2023)

An improving reasoning network for complex question answering over temporal knowledge graphs. - Songlin Jiao; Zhenfang Zhu; Wenqing Wu; Zicheng Zuo; Jiangtao Qi; Wenling Wang; Guangyuan Zhang; Peiyu Liu 001 (Appl. Intell., 2023)

Aspect-level sentiment classification via location enhanced aspect-merged graph convolutional networks. - Baoxing Jiang; Guangtao Xu; Peiyu Liu 001 (J. Supercomput., 2023)

Multi-feature fused collaborative attention network for sequential recommendation with semantic-enriched contrastive learning. - Huajuan Duan; Yingzheng Zhu; Xiufang Liang; Zhenfang Zhu; Peiyu Liu 001 (Inf. Process. Manag., 2023)

MISR: a multiple behavior interactive enhanced learning model for social-aware recommendation. - Xiufang Liang; Yingzheng Zhu; Huajuan Duan; Fuyong Xu; Peiyu Liu 001; Ran Lu (J. Supercomput., 2023)

Exploring implicit persona knowledge for personalized dialogue generation. - Fuyong Xu; Zhaoxin Ding; Zhenfang Zhu; Peiyu Liu 001 (J. Supercomput., 2023)

Node representation learning with graph augmentation for sequential recommendation. - Yingzheng Zhu; Xiufang Liang; Huajuan Duan; Fuyong Xu; Yuanying Wang; Peiyu Liu 001; Ran Lu (Inf. Sci., 2023)

Publisher Correction to: MISR: a multiple behavior interactive enhanced learning model for social-aware recommendation. - Xiufang Liang; Yingzheng Zhu; Huajuan Duan; Fuyong Xu; Peiyu Liu 001; Ran Lu (J. Supercomput., 2023)

Reducing noise-triplets via differentiable sampling for knowledge-enhanced recommendation with collaborative signal guidance. - Huajuan Duan; Xiufang Liang; Yingzheng Zhu; Zhenfang Zhu; Peiyu Liu 001 (Neurocomputing, 2023)

A semantically enhanced dual encoder for aspect sentiment triplet extraction. - Baoxing Jiang; Shehui Liang; Peiyu Liu 001; Kaifang Dong; Hongye Li (Neurocomputing, 2023)

HyperMR: Hyperbolic Hypergraph Multi-hop Reasoning for Knowledge-based Visual Question Answering. - Bin Wang; Fuyong Xu; Peiyu Liu 001; Zhenfang Zhu (LREC/COLING, 2024)

Information Aggregate and Sentiment Enhance Network to Handle Missing Modalities for Multimodal Sentiment Analysis. - Liang Shi; Fuyong Xu; Ru Wang 001; Yongqing Wei; Guangjin Wang; Bao Wang; Peiyu Liu 001 (ICME, 2024)

Domain-consistent syntactic representation for cross-domain aspect sentiment triplet extraction. - Guangjin Wang; Bao Wang; Fuyong Xu; Ru Wang 001; Zhenfang Zhu; Peiyu Liu 001 (Expert Syst. Appl., 2024)

Collaborative denoised graph contrastive learning for multi-modal recommendation. - Fuyong Xu; Zhenfang Zhu; Yixin Fu; Ru Wang 001; Peiyu Liu 001 (Inf. Sci., 2024)

Meta-learning triplet contrast network for few-shot text classification. - Kaifang Dong; Baoxing Jiang; Hongye Li; Zhenfang Zhu; Peiyu Liu 001 (Knowl. Based Syst., 2024)

A Relation Embedding Assistance Networks for Multi-hop Question Answering. - Songlin Jiao; Zhenfang Zhu; Jiangtao Qi; Fuyong Xu; Hongli Pei; Wenling Wang; Ze Song; Peiyu Liu 001 (ACM Trans. Asian Low Resour. Lang. Inf. Process., 2024)

Syntactic and semantic dual-enhanced bidirectional network for aspect sentiment triplet extraction. - Guangjin Wang; Yuanying Wang; Fuyong Xu; Yongsheng Zhang; Peiyu Liu 001 (J. Supercomput., 2024)

Aspect-level sentiment classification with aspect-opinion sentence pattern connection graph convolutional networks. - Hongye Li; Fuyong Xu; Zhiyu Zhang; Peiyu Liu 001; Wenyin Zhang (J. Supercomput., 2024)

A sequence recommendation method based on external reinforcement and position separation. - Wenya Wu; Guangjin Wang; Xiufang Liang; Yingzheng Zhu; Huajuan Duan; Peiyu Liu 001; Ran Lu (J. Supercomput., 2024)

Intent Contrastive Learning Based on Multi-view Augmentation for Sequential Recommendation. - Bo Pei; Yingzheng Zhu; Guangjin Wang; Huajuan Duan; Wenya Wu; Fuyong Xu; Yizhao Zhu; Peiyu Liu 001; Ran Lu (COLING, 2025)

Semantic-Aware Prompt Learning for Multimodal Sarcasm Detection. - Guangjin Wang; Bao Wang; Fuyong Xu; Zhenfang Zhu; Peipei Wang; Ru Wang 001; Peiyu Liu 001 (ICASSP, 2025)

DTS: A Decoupled Task Specificity Approach for Aspect Sentiment Triplet Extraction. - Bao Wang; Guangjin Wang; Peiyu Liu 001 (Expert Syst. Appl., 2025)

Knowledge complementation based dual-table filling approach for aspect sentiment triplet extraction. - Bao Wang; Baoxing Jiang; Guangjin Wang; Liang Shi; Peiyu Liu 001 (Neurocomputing, 2025)

IMDP: A Unify Dialogue Framework with Awareness and Understanding for Implicit Personalized Dialogue Generation. - Yuanying Wang; Fuyong Xu; Yingzheng Zhu; Guangjin Wang; Peiyu Liu 001; Ran Lu (ACM Trans. Asian Low Resour. Lang. Inf. Process., 2025)