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ORCIDFang'ai Liu
Person information
- affiliation: Shandong Normal University, School of Information Science and Engineering, Jinan, China
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2020 – today
- 2024
[j45]Ran Bai
, Fang'ai Liu, Xuqiang Zhuang, Yaoyao Yan:
MICRank: Multi-information interconstrained keyphrase extraction. Expert Syst. Appl. 249: 123744 (2024)- [j44]Xuejian Gao, Fang'ai Liu, Xuqiang Zhuang, Xiaohui Tian, Yujuan Zhang, Kenan Liu:
Dual-channel relative position guided attention networks for aspect-based sentiment analysis. Expert Syst. Appl. 253: 124271 (2024) - [j43]Ying Hou, Fang'ai Liu, Xuqiang Zhuang, Yuling Zhang:
Twain-GCN: twain-syntax graph convolutional networks for aspect-based sentiment analysis. Knowl. Inf. Syst. 66(9): 5541-5560 (2024) - [j42]Yujuan Zhang, Fang'ai Liu, Xuqiang Zhuang, Ying Hou, Yuling Zhang:
Prototype-based sample-weighted distillation unified framework adapted to missing modality sentiment analysis. Neural Networks 177: 106397 (2024) - [j41]Lin Zhang, Fang'ai Liu, Hongchen Wu, Xuqiang Zhuang, Yaoyao Yan:
CFF: combining interactive features and user interest features for click-through rate prediction. J. Supercomput. 80(3): 3282-3309 (2024) - 2023
- [j40]Xinhua Wang, Linzhao Jia, Lei Guo, Fangai Liu:
Multi-aspect heterogeneous information network for MOOC knowledge concept recommendation. Appl. Intell. 53(10): 11951-11965 (2023) - [j39]Yaoyao Yan, Fang'ai Liu, Xuqiang Zhuang, Jie Ju:
An R-Transformer_BiLSTM Model Based on Attention for Multi-label Text Classification. Neural Process. Lett. 55(2): 1293-1316 (2023) - [j38]Jie Ju, Ke'nan Liu, Fang'ai Liu:
Prediction of SO2 Concentration Based on AR-LSTM Neural Network. Neural Process. Lett. 55(5): 5923-5941 (2023) - [c24]Lin Zhang, Fang'ai Liu, Yinghua Li, Xuqiang Zhuang, Xiaohui Zhao:
PFN: A Target Item-enhanced Click-Through Rate Prediction via Parallel Fusion Network. ICPADS 2023: 180-185 - 2022
- [j37]Xinhua Wang, Wenyun Ma, Lei Guo, Haoran Jiang, Fangai Liu, Changdi Xu:
HGNN: Hyperedge-based graph neural network for MOOC Course Recommendation. Inf. Process. Manag. 59(3): 102938 (2022) - [j36]Lingxu Fan, Lei Guo, Xinhua Wang, Liancheng Xu, Fangai Liu:
Does the author's collaboration mode lead to papers' different citation impacts? An empirical analysis based on propensity score matching. J. Informetrics 16(4): 101350 (2022) - [j35]Jian Hou, Fangai Liu, Hui Lu, Zhiyuan Tan, Xuqiang Zhuang, Zhihong Tian:
A novel flow-vector generation approach for malicious traffic detection. J. Parallel Distributed Comput. 169: 72-86 (2022) - [j34]Xuqiang Zhuang, Fangai Liu, Jian Hou, Jianhua Hao, Xiaohong Cai:
Transformer-Based Interactive Multi-Modal Attention Network for Video Sentiment Detection. Neural Process. Lett. 54(3): 1943-1960 (2022) - [j33]Ding Ding, Kyuho Jeong, Shuning Xing, Mauro Conti, Renato Figueiredo, Fangai Liu:
SEnD: A Social Network Friendship Enhanced Decentralized System to Circumvent Censorships. IEEE Trans. Serv. Comput. 15(1): 346-360 (2022) - [c23]Hongshun Wang, Fangai Liu, Xuqiang Zhang, Liying Wang:
Sequential Recommendation Based on Multi-View Graph Neural Networks. ICONIP (6) 2022: 626-637 - 2021
- [j32]Ziyu Zhou, Fang'ai Liu:
Filter gate network based on multi-head attention for aspect-level sentiment classification. Neurocomputing 441: 214-225 (2021) - [j31]Xinhua Wang, Yuchen Wang, Lei Guo, Liancheng Xu, Baozhong Gao, Fangai Liu, Wei Li:
Exploring Clustering-Based Reinforcement Learning for Personalized Book Recommendation in Digital Library. Inf. 12(5): 198 (2021) - 2020
- [j30]Yue Zhang, Fangai Liu:
An Improved Deep Belief Network Prediction Model Based on Knowledge Transfer. Future Internet 12(11): 188 (2020) - [j29]Xinhua Wang, Xuemeng Yu, Lei Guo, Fangai Liu, Liancheng Xu:
Student Performance Prediction with Short-Term Sequential Campus Behaviors. Inf. 11(4): 201 (2020) - [j28]Qianqian Wang, Fangai Liu, Pu Huang, Shuning Xing, Xiaohui Zhao:
A Hierarchical Attention Model for CTR Prediction Based on User Interest. IEEE Syst. J. 14(3): 4015-4024 (2020)
2010 – 2019
- 2019
- [j27]Qianqian Wang, Fang'ai Liu, Shuning Xing, Xiaohui Zhao, Tianlai Li:
Research on CTR Prediction Based on Deep Learning. IEEE Access 7: 12779-12789 (2019) - [j26]Shengyu Fan, Hui Yu, Dianjie Lu, Shuai Jiao, Weizhi Xu, Fangai Liu, Zhiyong Liu:
CSCC: Convolution Split Compression Calculation Algorithm for Deep Neural Network. IEEE Access 7: 71607-71615 (2019) - [j25]Xinhua Wang, Xinxin Yang, Lei Guo, Yu Han, Fangai Liu, Baozhong Gao:
Exploiting Social Review-Enhanced Convolutional Matrix Factorization for Social Recommendation. IEEE Access 7: 82826-82837 (2019) - [j24]Ziyu Zhou, Fang'ai Liu, Qianqian Wang:
R-Transformer Network Based on Position and Self-Attention Mechanism for Aspect-Level Sentiment Classification. IEEE Access 7: 127754-127764 (2019) - [j23]Shuning Xing, Fang'ai Liu, Qianqian Wang, Xiaohui Zhao, Tianlai Li:
Content-aware point-of-interest recommendation based on convolutional neural network. Appl. Intell. 49(3): 858-871 (2019) - [j22]Qianqian Wang, Fang'ai Liu, Shuning Xing, Xiaohui Zhao:
Research on CTR prediction based on stacked autoencoder. Appl. Intell. 49(8): 2970-2981 (2019) - [j21]Fang'ai Liu, Qianqian Wang, Xin Wang:
Improved algorithm for parallel mining collaborative frequent itemsets in multiple data streams. Clust. Comput. 22(Supplement): 6133-6141 (2019) - [j20]Jingren Zhang, Fang'ai Liu, Weizhi Xu, Hui Yu:
Feature Fusion Text Classification Model Combining CNN and BiGRU with Multi-Attention Mechanism. Future Internet 11(11): 237 (2019) - [j19]Shuning Xing, Fang'ai Liu, Qianqian Wang, Xiaohui Zhao, Tianlai Li:
A hierarchical attention model for rating prediction by leveraging user and product reviews. Neurocomputing 332: 417-427 (2019) - [j18]Lizheng Liu, Fangai Liu, Byron Ky:
Data mining-based model for motion target trajectory prediction. J. Intell. Fuzzy Syst. 37(1): 371-379 (2019) - [j17]Lei Guo, Yufei Wen, Fangai Liu:
Location perspective-based neighborhood-aware POI recommendation in location-based social networks. Soft Comput. 23(22): 11935-11945 (2019) - [c22]Jian Hou, Fangai Liu, Xuqiang Zhuang:
A New Intrusion Detection Model Based on GRU and Salient Feature Approach. DependSys 2019: 405-415 - [c21]Qiaoqiao Tan, Fangai Liu, Shuning Xing:
Implicit Recommendation with Interest Change and User Influence. ICSCA 2019: 436-441 - [c20]Wenchen Sun, Fang'ai Liu, Weizhi Xu:
Mixed Attention-Aware Network for Person Re-identification. ISCID (2) 2019: 1-4 - 2018
- [j16]Weizhi Xu, Hui Yu, Dianjie Lu, Fangai Liu, Zhiyong Liu:
A Novel Data Reuse Method to Reduce Demand on Memory Bandwidth and Power Consumption For True Motion Estimation. IEEE Access 6: 10151-10159 (2018) - [j15]Xiaohui Zhao, Fang'ai Liu, Shuning Xing, Qianqian Wang:
Identifying Influential Spreaders in Social Networks Via Normalized Local Structure Attributes. IEEE Access 6: 66095-66104 (2018) - [j14]Hongjie Li, Yanhui Ding, Weizhi Xu, Hui Yu, Fangai Liu:
A Novel Search Area Data Reuse Method for Memory Access Optimization of Fast Search Motion Estimation. IEEE Access 6: 68525-68534 (2018) - [j13]Shuning Xing, Fangai Liu, Xiaohui Zhao, Tianlai Li:
Points-of-interest recommendation based on convolution matrix factorization. Appl. Intell. 48(8): 2458-2469 (2018) - [j12]Qianqian Wang, Fang'ai Liu, Shuning Xing, Xiaohui Zhao:
A New Approach for Advertising CTR Prediction Based on Deep Neural Network via Attention Mechanism. Comput. Math. Methods Medicine 2018: 8056541:1-8056541:11 (2018) - [j11]Tianlai Li, Fang'ai Liu, Xinhua Wang:
A novel approach for mining probabilistic frequent itemsets over uncertain data streams. Int. J. Appl. Decis. Sci. 11(3): 302-316 (2018) - [c19]Baozhong Gao, Fangai Liu, Shouyan Du, Fansheng Meng:
An OAuth2.0-Based Unified Authentication System for Secure Services in the Smart Campus Environment. ICCS (3) 2018: 752-764 - [c18]Daomeng Xu, Fang'ai Liu, Lu Jiang, Weiwei Zhang:
Mining And Application Of Teaching Data : A new conception of multimedia teaching assessment based on residual calculation method. ICSAI 2018: 1126-1131 - 2017
- [j10]Xiaohui Zhao, Fang'ai Liu, Jinlong Wang, Tianlai Li:
Evaluating Influential Nodes in Social Networks by Local Centrality with a Coefficient. ISPRS Int. J. Geo Inf. 6(2): 35 (2017) - [j9]Lei Guo, Haoran Jiang, Xinhua Wang, Fangai Liu:
Learning to Recommend Point-of-Interest with the Weighted Bayesian Personalized Ranking Method in LBSNs. Inf. 8(1): 20 (2017) - [j8]QianQian Li, Sarada Prasad Gochhayat, Mauro Conti, Fangai Liu:
EnergIoT: A solution to improve network lifetime of IoT devices. Pervasive Mob. Comput. 42: 124-133 (2017) - [c17]Lu Jiang, Fang'ai Liu, Daomeng Xu, Weiwei Zhang:
A FKSVM Model Based on Fisher Criterion for Text Classification. ISCID (2) 2017: 496-499 - [c16]Weiwei Zhang, Fang'ai Liu, Lu Jiang, Daomeng Xu:
Recommendation Based on Collaborative Filtering by Convolution Deep Learning Model Based on Label Weight Nearest Neighbor. ISCID (2) 2017: 504-507 - 2016
- [j7]Lizheng Liu, Fangai Liu, Lu Yang, Jian Liu, Zhizhong Zhang:
A preload cooperative sensing scheme with low overhead in cognitive radio networks. Wirel. Commun. Mob. Comput. 16(9): 1148-1157 (2016) - [c15]Lin Pang, Fang-Ai Liu:
Density-Based Algorithm in MapReduce. ISCID (2) 2016: 394-397 - [c14]Qianqian Wang, Fang-Ai Liu:
Efficient Mining Algorithm of Frequent Itemsets for Uncertain Data Streams. ISCID (2) 2016: 443-446 - 2015
- [j6]Tao Du, Shouning Qu, Fangai Liu, Qin Wang:
An energy efficiency semi-static routing algorithm for WSNs based on HAC clustering method. Inf. Fusion 21: 18-29 (2015) - [j5]Fangai Liu, Tianlai Li, Changming Xing:
A hierarchical HRRP(k) network and its application. Peer-to-Peer Netw. Appl. 8(3): 337-351 (2015) - [c13]Xiaohui Zhao, Fangai Liu, Yongxin Zhang, Jiwei Wang:
Computing Unbalanced Degree of Signed Networks Based on Culture Algorithm. CCBD 2015: 305-312 - [c12]Jiwei Wang, Fangai Liu, Xu Li, Haoran Liu, Xiaohui Zhao:
HPOSN: A Novel Online Social Network Model Based on Hybrid P2P. CCBD 2015: 342-349 - 2014
- [j4]Fu Xie, Fangai Liu:
Dynamic Effective Resource Allocation Based on Cloud Computing Learning Model. J. Networks 9(11): 3092-3097 (2014) - 2011
- [c11]Lingyun Zhao, Fangai Liu:
Service-oriented pricing and resource allocation in Grid computing environment. EMEIT 2011: 3927-3930 - 2010
- [c10]Fang-Ai Liu, Chang-Ming Xing:
A Hierarchical Network (HRRP(k)) and Its Application. APSCC 2010: 595-602
2000 – 2009
- 2008
- [c9]Nai wen Liu, Fang ai Liu:
Search and Replication in a Hybrid Topology Architecture Based on RP(k). CSSE (5) 2008: 925-928 - [c8]Lida Zou, Fang-Ai Liu, Yan Ma:
Grid Service Scheduling Algorithm Based on Marginal Principle. GCC 2008: 175-179 - [c7]Fangai Liu, Fenglong Song:
An Optimization of Resource Replication Access in Grid Cache. GPC 2008: 83-92 - [c6]Nai wen Liu, Fang ai Liu:
A RP(k)-Based Educational Resource Grid and Resource Awareness Model. ISCSCT (1) 2008: 25-30 - [c5]Changming Xing, Fang'ai Liu, Feng-juan Zhang:
Replica Placement Strategy Research in Education Resource Grid. ISIP 2008: 326-330 - 2006
- [j3]Yawen Chen, Hong Shen, Fangai Liu:
Wavelength Assignment for Realizing Parallel FFT on Regular Optical Networks. J. Supercomput. 36(1): 3-16 (2006) - 2005
- [c4]Fangai Liu, Xinhua Wang, Liancheng Xu:
The Channel Assignment Algorithm on RP(k) Networks. Asia-Pacific Computer Systems Architecture Conference 2005: 488-498 - [c3]Fangai Liu, Ying Song:
Broadcast in the Locally k-Subcube-Connected Hypercube Networks with Faulty Tolerance. ICCNMC 2005: 305-313 - [c2]Fangai Liu, Liancheng Xu:
The Topological Properties and Network Embedding of RP(k). PDCAT 2005: 21-25 - 2004
- [j2]Fang'ai Liu, Zhiyong Liu, Yongsheng Zhang:
The embedding of rings and meshes into RP(k) networks. Sci. China Ser. F Inf. Sci. 47(5): 669-680 (2004) - [c1]Fang-Ai Liu, Ya-Wen Chen:
Wavelength Assignment of Parallel FFT Communication Pattern on a Class of Regular Optical WDM Networks. ISPAN 2004: 495-501 - 2001
- [j1]Fang'ai Liu, Zhiyong Liu, Xiangzhen Qiao:
A practical interconnection network RP(k) and its routing algorithms. Sci. China Ser. F Inf. Sci. 44(6): 461-473 (2001)
Coauthor Index
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