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)

Feature-Denoising Based on Average Fitness of Genetic Population. - Yongqing Wei; Ming-ying Xu; Zhen-fang Zhu (J. Convergence Inf. Technol., 2010)

Authentications and Key Management in 3G-WLAN Interworking. - Xinghua Li 001; Xiang Lu; Jianfeng Ma 001; Zhenfang Zhu; Li Xu 002; YoungHo Park 005 (Mob. Networks Appl., 2011)

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)

Network Topic Detection Model Based on Text Reconstructions. - Zhenfang Zhu; Peipei Wang; Zhiping Jia; Hairong Xiao; Guangyuan Zhang; Hao Liang (Informatica (Slovenia), 2013)

Personal micro-blog recommendation based on user characteristics and user preference. - Xian-ying Huang; Ran Lu; Zhi-hao Wang; Zhen-fang Zhu (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)

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

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)

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

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)

Interactive Rule Attention Network for Aspect-Level Sentiment Analysis. - Qiang Lu 006; Zhenfang Zhu; Dianyuan Zhang; Wenqing Wu; Qiangqiang Guo (IEEE Access, 2020)

Introducing External Knowledge to Answer Questions with Implicit Temporal Constraints over Knowledge Base. - Wenqing Wu; Zhenfang Zhu; Qiang Lu 006; Dianyuan Zhang; Qiangqiang Guo (Future Internet, 2020)

Bi-GRU Sentiment Classification for Chinese Based on Grammar Rules and BERT. - Qiang Lu 006; Zhenfang Zhu; Fuyong Xu; Dianyuan Zhang; Wenqing Wu; Qiangqiang Guo (Int. J. Comput. Intell. Syst., 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)

Question Answering over Knowledge Base Embeddings with Triples Representation Learning. - Zicheng Zuo; Zhenfang Zhu; Wenqing Wu; Qiang Lu 006; Dianyuan Zhang; Wenling Wang; Guangyuan Zhang (ICONIP (5), 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)

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)

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)

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

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)

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

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

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

Semantic Decision Internal-Attention Graph Convolutional Network for End-to-End Emotion-Cause Pair Extraction. - Dianyuan Zhang; Zhenfang Zhu; Jiangtao Qi; Guangyuan Zhang; Linghui Zhong (Int. J. Semantic Web Inf. Syst., 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)

Decision Method of Optimal Needle Insertion Angle for Dorsal Hand Intravenous Robot. - Zihan Zhu; Kefeng Li; Guangyuan Zhang; Hualei Jin; Zhenfang Zhu; Peng Wang 109 (Sensors, 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)

KRP-DS: A Knowledge Graph-Based Dialogue System with Inference-Aided Prediction. - Qiang He; Shuobo Xu; Zhenfang Zhu; Peng Wang 109; Kefeng Li; Quanfeng Zheng; Yanshun Li (Sensors, 2023)

SeburSum: a novel set-based summary ranking strategy for summary-level extractive summarization. - Shuai Gong; Zhenfang Zhu; Jiangtao Qi; Wenqing Wu; Chunling Tong (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)

EFC-YOLO: An Efficient Surface-Defect-Detection Algorithm for Steel Strips. - Yanshun Li; Shuobo Xu; Zhenfang Zhu; Peng Wang 109; Kefeng Li; Qiang He; Quanfeng Zheng (Sensors, 2023)

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

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

DSAMR: Dual-Stream Attention Multi-hop Reasoning for knowledge-based visual question answering. - Yanhan Sun; Zhenfang Zhu; Zicheng Zuo; Kefeng Li; Shuai Gong; Jiangtao Qi (Expert Syst. Appl., 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)

Joint training strategy of unimodal and multimodal for multimodal sentiment analysis. - Meng Li; Zhenfang Zhu; Kefeng Li; Lihua Zhou; Zhen Zhao; Hongli Pei (Image Vis. Comput., 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)

Robust Visual Question Answering utilizing Bias Instances and Label Imbalance. - Liang Zhao; Kefeng Li; Jiangtao Qi; Yanhan Sun; Zhenfang Zhu (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)

HTPosum:Heterogeneous Tree Structure augmented with Triplet Positions for extractive Summarization of scientific papers. - Zhenfang Zhu; Shuai Gong; Jiangtao Qi; Chunling Tong (Expert Syst. Appl., 2024)

Gtpsum: guided tensor product framework for abstractive summarization. - Jingan Lu; Zhenfang Zhu; Kefeng Li; Shuai Gong; Hongli Pei; Wenling Wang (J. Supercomput., 2024)

Affective Commonsense Knowledge Enhanced Dependency Graph for aspect sentiment triplet extraction. - Xiaowen Sun; Zhenfang Zhu; Jiangtao Qi; Zhen Zhao; Hongli Pei (J. Supercomput., 2024)

Bridging the gap: dual perception attention and local-global similarity fusion for cross-modal image-text matching. - Xiangyu Shui; Zhenfang Zhu; Yun Liu; Hongli Pei; Kefeng Li; Huaxiang Zhang (Multim. Tools Appl., 2024)

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)

SenticNet and Abstract Meaning Representation driven Attention-Gate semantic framework for aspect sentiment triplet extraction. - Xiaowen Sun; Jiangtao Qi; Zhenfang Zhu; Meng Li; Hongli Pei; Jing Meng (Eng. Appl. Artif. Intell., 2025)

Spatio-temporal memory-driven CT organ segmentation with hybrid CNN-Mamba encoding and frequency-domain decoding. - Yongpeng Zhao; Guangyuan Zhang; Kefeng Li; Zhenfang Zhu; Jiayi Yu; Xiaotong Li; Yongshuo Zhang; Zhiming Fan (Neurocomputing, 2025)

Bias-guided margin loss for robust Visual Question Answering. - Yanhan Sun; Jiangtao Qi; Zhenfang Zhu; Kefeng Li; Liang Zhao; Lei Lv (Inf. Process. Manag., 2025)

SREGS: Sparse-view Gaussian radiance fields with geometric regularization and region exploration. - Xiaotong Li; Kefeng Li; Guangyuan Zhang; Zhenfang Zhu; Peng Wang 109; Zhenfei Wang; Chen Fu; Yongshuo Zhang; Zhiming Fan; Yongpeng Zhao (Neural Networks, 2025)

Diversity and Balance: Multimodal Sentiment Analysis Using Multimodal-Prefixed and Cross-Modal Attention. - Meng Li; Zhenfang Zhu; Kefeng Li; Hongli Pei (IEEE Trans. Affect. Comput., 2025)

DRSS: a multimodal sentiment analysis approach based on dual representation and self-supervised learning strategy. - Jing Meng; Zhenfang Zhu; Jiangtao Qi; Huaxiang Zhang (J. Supercomput., 2025)

LFVGS: lightweight Gaussian splatting method for few-shot view synthesis. - Xiaotong Li; Kefeng Li; Guangyuan Zhang; Zhenfang Zhu; Peng Wang 109; Zhenfei Wang; Chen Fu; Yongshuo Zhang; Zhiming Fan; Yongpeng Zhao (J. Supercomput., 2025)

Question guided multimodal receptive field reasoning network for fact-based visual question answering. - Zicheng Zuo; Yanhan Sun; Zhenfang Zhu; Mei Wu; Hui Zhao (Multim. Tools Appl., 2025)

Text-to-image person retrieval with implicit relation alignment and contrastive learning. - Xiangyu Shui; Zhenfang Zhu; Yun Liu; Hongli Pei; Kefeng Li; Huaxiang Zhang (J. Supercomput., 2025)

MFADU-Net: an enhanced DoubleU-Net with multi-level feature fusion and atrous decoder for medical image segmentation. - Yongpeng Zhao; Guangyuan Zhang; Kefeng Li; Zhenfang Zhu; Xiaotong Li; Yongshuo Zhang; Zhiming Fan (Vis. Comput., 2025)