A practical interconnection network RP(k) and its routing algorithms. - Fang'ai Liu; Zhiyong Liu 002; Xiangzhen Qiao (Sci. China Ser. F Inf. Sci., 2001)

Wavelength Assignment of Parallel FFT Communication Pattern on a Class of Regular Optical WDM Networks. - Fang-Ai Liu; Ya-Wen Chen (ISPAN, 2004)

The embedding of rings and meshes into RP(k) networks. - Fang'ai Liu; Zhiyong Liu 002; Yongsheng Zhang (Sci. China Ser. F Inf. Sci., 2004)

The Channel Assignment Algorithm on RP(k) Networks. - Fangai Liu; Xinhua Wang 003; Liancheng Xu (Asia-Pacific Computer Systems Architecture Conference, 2005)

Broadcast in the Locally k-Subcube-Connected Hypercube Networks with Faulty Tolerance. - Fangai Liu; Ying Song (ICCNMC, 2005)

The Topological Properties and Network Embedding of RP(k). - Fangai Liu; Liancheng Xu (PDCAT, 2005)

Wavelength Assignment for Realizing Parallel FFT on Regular Optical Networks. - Yawen Chen 001; Hong Shen 001; Fangai Liu (J. Supercomput., 2006)

Search and Replication in a Hybrid Topology Architecture Based on RP(k). - Nai wen Liu; Fang ai Liu (CSSE (5), 2008)

Grid Service Scheduling Algorithm Based on Marginal Principle. - Lida Zou; Fang-Ai Liu; Yan Ma (GCC, 2008)

An Optimization of Resource Replication Access in Grid Cache. - Fangai Liu; Fenglong Song (GPC, 2008)

A RP(k)-Based Educational Resource Grid and Resource Awareness Model. - Nai wen Liu; Fang ai Liu (ISCSCT (1), 2008)

Replica Placement Strategy Research in Education Resource Grid. - Changming Xing; Fang'ai Liu; Feng-juan Zhang (ISIP, 2008)

A Hierarchical Network (HRRP(k)) and Its Application. - Fang-Ai Liu; Chang-Ming Xing (APSCC, 2010)

Service-oriented pricing and resource allocation in Grid computing environment. - Lingyun Zhao; Fangai Liu (EMEIT, 2011)

Dynamic Effective Resource Allocation Based on Cloud Computing Learning Model. - Fu Xie; Fangai Liu (J. Networks, 2014)

HPOSN: A Novel Online Social Network Model Based on Hybrid P2P. - Jiwei Wang; Fangai Liu; Xu Li; Haoran Liu; Xiaohui Zhao 002 (CCBD, 2015)

Computing Unbalanced Degree of Signed Networks Based on Culture Algorithm. - Xiaohui Zhao 002; Fangai Liu; Yongxin Zhang; Jiwei Wang (CCBD, 2015)

An energy efficiency semi-static routing algorithm for WSNs based on HAC clustering method. - Tao Du 002; Shouning Qu; Fangai Liu; Qin Wang 006 (Inf. Fusion, 2015)

A hierarchical HRRP(k) network and its application. - Fangai Liu; Tianlai Li; Changming Xing (Peer-to-Peer Netw. Appl., 2015)

Density-Based Algorithm in MapReduce. - Lin Pang; Fang-Ai Liu (ISCID (2), 2016)

Efficient Mining Algorithm of Frequent Itemsets for Uncertain Data Streams. - Qianqian Wang 007; Fang-Ai Liu (ISCID (2), 2016)

A preload cooperative sensing scheme with low overhead in cognitive radio networks. - Lizheng Liu; Fangai Liu; Lu Yang; Jian Liu 026; Zhizhong Zhang 005 (Wirel. Commun. Mob. Comput., 2016)

A FKSVM Model Based on Fisher Criterion for Text Classification. - Lu Jiang; Fang'ai Liu; Daomeng Xu; Weiwei Zhang (ISCID (2), 2017)

Recommendation Based on Collaborative Filtering by Convolution Deep Learning Model Based on Label Weight Nearest Neighbor. - Weiwei Zhang; Fang'ai Liu; Lu Jiang; Daomeng Xu (ISCID (2), 2017)

Evaluating Influential Nodes in Social Networks by Local Centrality with a Coefficient. - Xiaohui Zhao 002; Fang'ai Liu; Jinlong Wang; Tianlai Li (ISPRS Int. J. Geo Inf., 2017)

Learning to Recommend Point-of-Interest with the Weighted Bayesian Personalized Ranking Method in LBSNs. - Lei Guo 008; Haoran Jiang; Xinhua Wang 003; Fangai Liu (Inf., 2017)

EnergIoT: A solution to improve network lifetime of IoT devices. - QianQian Li; Sarada Prasad Gochhayat; Mauro Conti; Fangai Liu (Pervasive Mob. Comput., 2017)

An OAuth2.0-Based Unified Authentication System for Secure Services in the Smart Campus Environment. - Baozhong Gao; Fangai Liu; Shouyan Du; Fansheng Meng (ICCS (3), 2018)

Mining And Application Of Teaching Data : A new conception of multimedia teaching assessment based on residual calculation method. - Daomeng Xu; Fang'ai Liu; Lu Jiang; Weiwei Zhang (ICSAI, 2018)

A Novel Search Area Data Reuse Method for Memory Access Optimization of Fast Search Motion Estimation. - Hongjie Li; Yanhui Ding; Weizhi Xu 001; Hui Yu 010; Fangai Liu (IEEE Access, 2018)

A Novel Data Reuse Method to Reduce Demand on Memory Bandwidth and Power Consumption For True Motion Estimation. - Weizhi Xu 001; Hui Yu 010; Dianjie Lu; Fangai Liu; Zhiyong Liu 002 (IEEE Access, 2018)

Identifying Influential Spreaders in Social Networks Via Normalized Local Structure Attributes. - Xiaohui Zhao 002; Fang'ai Liu; Shuning Xing; Qianqian Wang 007 (IEEE Access, 2018)

Points-of-interest recommendation based on convolution matrix factorization. - Shuning Xing; Fangai Liu; Xiaohui Zhao 002; Tianlai Li (Appl. Intell., 2018)

A New Approach for Advertising CTR Prediction Based on Deep Neural Network via Attention Mechanism. - Qianqian Wang 007; Fang'ai Liu; Shuning Xing; Xiaohui Zhao 002 (Comput. Math. Methods Medicine, 2018)

A novel approach for mining probabilistic frequent itemsets over uncertain data streams. - Tianlai Li; Fang'ai Liu; Xinhua Wang 003 (Int. J. Appl. Decis. Sci., 2018)

A New Intrusion Detection Model Based on GRU and Salient Feature Approach. - Jian Hou 009; Fangai Liu; Xuqiang Zhuang (DependSys, 2019)

Implicit Recommendation with Interest Change and User Influence. - Qiaoqiao Tan; Fangai Liu; Shuning Xing (ICSCA, 2019)

Mixed Attention-Aware Network for Person Re-identification. - Wenchen Sun; Fang'ai Liu; Weizhi Xu 001 (ISCID (2), 2019)

CSCC: Convolution Split Compression Calculation Algorithm for Deep Neural Network. - Shengyu Fan; Hui Yu 010; Dianjie Lu; Shuai Jiao; Weizhi Xu 001; Fangai Liu; Zhiyong Liu 002 (IEEE Access, 2019)

Research on CTR Prediction Based on Deep Learning. - Qianqian Wang 007; Fang'ai Liu; Shuning Xing; Xiaohui Zhao 002; Tianlai Li (IEEE Access, 2019)

Exploiting Social Review-Enhanced Convolutional Matrix Factorization for Social Recommendation. - Xinhua Wang 003; Xinxin Yang; Lei Guo 008; Yu Han; Fangai Liu; Baozhong Gao (IEEE Access, 2019)

R-Transformer Network Based on Position and Self-Attention Mechanism for Aspect-Level Sentiment Classification. - Ziyu Zhou; Fang'ai Liu; Qianqian Wang 007 (IEEE Access, 2019)

Research on CTR prediction based on stacked autoencoder. - Qianqian Wang 007; Fang'ai Liu; Shuning Xing; Xiaohui Zhao 002 (Appl. Intell., 2019)

Content-aware point-of-interest recommendation based on convolutional neural network. - Shuning Xing; Fang'ai Liu; Qianqian Wang 007; Xiaohui Zhao 002; Tianlai Li (Appl. Intell., 2019)

Improved algorithm for parallel mining collaborative frequent itemsets in multiple data streams. - Fang'ai Liu; Qianqian Wang 007; Xin Wang (Clust. Comput., 2019)

Feature Fusion Text Classification Model Combining CNN and BiGRU with Multi-Attention Mechanism. - Jingren Zhang; Fang'ai Liu; Weizhi Xu 001; Hui Yu 010 (Future Internet, 2019)

A hierarchical attention model for rating prediction by leveraging user and product reviews. - Shuning Xing; Fang'ai Liu; Qianqian Wang 007; Xiaohui Zhao 002; Tianlai Li (Neurocomputing, 2019)

Location perspective-based neighborhood-aware POI recommendation in location-based social networks. - Lei Guo 008; Yufei Wen; Fangai Liu (Soft Comput., 2019)

An Improved Deep Belief Network Prediction Model Based on Knowledge Transfer. - Yue Zhang; Fangai Liu (Future Internet, 2020)

Student Performance Prediction with Short-Term Sequential Campus Behaviors. - Xinhua Wang 003; Xuemeng Yu; Lei Guo 008; Fangai Liu; Liancheng Xu (Inf., 2020)

A Hierarchical Attention Model for CTR Prediction Based on User Interest. - Qianqian Wang 007; Fangai Liu; Pu Huang; Shuning Xing; Xiaohui Zhao 002 (IEEE Syst. J., 2020)

Filter gate network based on multi-head attention for aspect-level sentiment classification. - Ziyu Zhou; Fang'ai Liu (Neurocomputing, 2021)

Exploring Clustering-Based Reinforcement Learning for Personalized Book Recommendation in Digital Library. - Xinhua Wang 003; Yuchen Wang; Lei Guo 008; Liancheng Xu; Baozhong Gao; Fangai Liu; Wei Li (Inf., 2021)

Sequential Recommendation Based on Multi-View Graph Neural Networks. - Hongshun Wang; Fangai Liu; Xuqiang Zhang; Liying Wang (ICONIP (6), 2022)

HGNN: Hyperedge-based graph neural network for MOOC Course Recommendation. - Xinhua Wang 003; Wenyun Ma; Lei Guo 008; Haoran Jiang; Fangai Liu; Changdi Xu (Inf. Process. Manag., 2022)

Does the author's collaboration mode lead to papers' different citation impacts? An empirical analysis based on propensity score matching. - Lingxu Fan; Lei Guo 008; Xinhua Wang 003; Liancheng Xu; Fangai Liu (J. Informetrics, 2022)

A novel flow-vector generation approach for malicious traffic detection. - Jian Hou 009; Fangai Liu; Hui Lu 005; Zhiyuan Tan 001; Xuqiang Zhuang; Zhihong Tian (J. Parallel Distributed Comput., 2022)

Transformer-Based Interactive Multi-Modal Attention Network for Video Sentiment Detection. - Xuqiang Zhuang; Fangai Liu; Jian Hou 009; Jianhua Hao; Xiaohong Cai (Neural Process. Lett., 2022)

SEnD: A Social Network Friendship Enhanced Decentralized System to Circumvent Censorships. - Ding Ding 004; Kyuho Jeong; Shuning Xing; Mauro Conti; Renato Figueiredo; Fangai Liu (IEEE Trans. Serv. Comput., 2022)

PFN: A Target Item-enhanced Click-Through Rate Prediction via Parallel Fusion Network. - Lin Zhang; Fang'ai Liu; Yinghua Li; Xuqiang Zhuang; Xiaohui Zhao 002 (ICPADS, 2023)

An R-Transformer_BiLSTM Model Based on Attention for Multi-label Text Classification. - Yaoyao Yan; Fang'ai Liu; Xuqiang Zhuang; Jie Ju (Neural Process. Lett., 2023)

Multi-aspect heterogeneous information network for MOOC knowledge concept recommendation. - Xinhua Wang 003; Linzhao Jia; Lei Guo 008; Fangai Liu (Appl. Intell., 2023)

Prediction of SO2 Concentration Based on AR-LSTM Neural Network. - Jie Ju; Ke'nan Liu; Fang'ai Liu (Neural Process. Lett., 2023)

MICRank: Multi-information interconstrained keyphrase extraction. - Ran Bai; Fang'ai Liu; Xuqiang Zhuang; Yaoyao Yan (Expert Syst. Appl., 2024)

Dual-channel relative position guided attention networks for aspect-based sentiment analysis. - Xuejian Gao; Fang'ai Liu; Xuqiang Zhuang; Xiaohui Tian; Yujuan Zhang; Kenan Liu (Expert Syst. Appl., 2024)

Prototype-based sample-weighted distillation unified framework adapted to missing modality sentiment analysis. - Yujuan Zhang; Fang'ai Liu; Xuqiang Zhuang; Ying Hou; Yuling Zhang (Neural Networks, 2024)

CFF: combining interactive features and user interest features for click-through rate prediction. - Lin Zhang; Fang'ai Liu; Hongchen Wu; Xuqiang Zhuang; Yaoyao Yan (J. Supercomput., 2024)

Twain-GCN: twain-syntax graph convolutional networks for aspect-based sentiment analysis. - Ying Hou; Fang'ai Liu; Xuqiang Zhuang; Yuling Zhang (Knowl. Inf. Syst., 2024)

STP: Special token prompt for parameter-efficient tuning of pre-trained language models. - Yaoyao Yan; Hui Yu 010; Da Wang; Jing Ye; Fang'ai Liu; Weizhi Xu 001 (Expert Syst. Appl., 2025)

Label-specific multi-label text classification based on dynamic graph convolutional networks. - Yaoyao Yan; Fang'ai Liu; Kenan Liu; Weizhi Xu 001; Xuqiang Zhuang (Soft Comput., 2025)

Optimizing keyphrase extraction with dependency relation-aware attention graph convolutional networks. - Yuyu Dong; Fang'ai Liu; Xuqiang Zhuang; Ran Bai; Xuejian Gao (J. Supercomput., 2025)

INN-based dual-generator adversarial contrastive learning network for multi-modal multi-label emotion recognition. - Fang'ai Liu; Yujuan Zhang; Xuqiang Zhuang; Xuejian Gao; Xiaohui Tian (Expert Syst. Appl., 2026)