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ORCIDWenqiang Liu
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2024
[j31]Chenzhong Bin, Wenqiang Liu, Hantao Ding, Yimin Wen:
A multi-view heterogeneous knowledge learning method for personalized POI recommendation. J. Intell. Fuzzy Syst. 46(4): 7763-7777 (2024)- [j30]Li Wang, Linxiao Che
, Kwok-Yan Lam, Wenqiang Liu, Feng Li:
Mobile traffic prediction with attention-based hybrid deep learning. Phys. Commun. 66: 102420 (2024) - [j29]Ning Yin, Wenxia Bao, Rongchao Yang, Nian Wang, Wenqiang Liu:
LWSDNet: A Lightweight Wheat Scab Detection Network Based on UAV Remote Sensing Images. Remote. Sens. 16(15): 2820 (2024) - [j28]Hui Wang, Zhiwei Han, Wenqiang Liu, Yanbo Wu:
A Reinforcement Learning-Based Pantograph Control Strategy for Improving Current Collection Quality in High-Speed Railways. IEEE Trans. Neural Networks Learn. Syst. 35(5): 5915-5928 (2024) - [j27]Yang Huang, Miaomiao Dong, Yijie Mao, Wenqiang Liu, Zhen Gao:
Distributed Multi-Objective Dynamic Offloading Scheduling for Air-Ground Cooperative MEC. IEEE Trans. Veh. Technol. 73(8): 12207-12212 (2024) - [i11]Zhaopeng Feng, Yan Zhang, Hao Li, Wenqiang Liu, Jun Lang, Yang Feng, Jian Wu, Zuozhu Liu:
Improving LLM-based Machine Translation with Systematic Self-Correction. CoRR abs/2402.16379 (2024) - [i10]Yang Huang, Miaomiao Dong, Yijie Mao, Wenqiang Liu, Zhen Gao:
Distributed Multi-Objective Dynamic Offloading Scheduling for Air-Ground Cooperative MEC. CoRR abs/2403.10927 (2024) - 2023
- [j26]Gao-Feng Jiang, Sumei Wang, Yi-Qing Ni, Wenqiang Liu:
Unsupervised Discrepancy-Based Domain Adaptation Network to Detect Rail Joint Condition. IEEE Trans. Instrum. Meas. 72: 1-19 (2023) - [c28]Yuanning Cui, Yuxin Wang, Zequn Sun, Wenqiang Liu, Yiqiao Jiang, Kexin Han, Wei Hu:
Lifelong Embedding Learning and Transfer for Growing Knowledge Graphs. AAAI 2023: 4217-4224 - [c27]Yucheng Huang, Wenqiang Liu, Xianli Zhang, Jun Lang, Tieliang Gong, Chen Li:
PRAM: An End-to-end Prototype-based Representation Alignment Model for Zero-resource Cross-lingual Named Entity Recognition. ACL (Findings) 2023: 3220-3233 - [c26]Xianghong Xu, Kai Ouyang, Hai-Tao Zheng, Wenqiang Liu:
Rethinking Temporal Information in Session-Based Recommendation: A Position-Agnostic Approach. ECAI 2023: 2810-2817 - [c25]Lijie Li, Wenqiang Liu, Zuobin Xiong, Ye Wang:
Sequence-Based Modeling for Temporal Knowledge Graph Link Prediction. ICANN (4) 2023: 550-562 - [c24]Wenxuan Yu, Chenzhong Bin, Wenqiang Liu, Liang Chang:
Contrastive Learning-based Multi-behavior Recommendation with Semantic Knowledge Enhancement. ICDM 2023: 1511-1516 - [c23]Guiqiang Zhang, Jianting Shi, Wenqiang Liu, Guifu Zhang, Yuanhan He:
Research on Automatic Segmentation Algorithm of Brain Tumor Image Based on Multi-sequence Self-supervised Fusion in Complex Scenes. ICONIP (10) 2023: 28-49 - [c22]Zuotong Xie, Kai Ouyang, Xiangjin Xie, Hai-Tao Zheng, Wenqiang Liu, Dongxiao Huang, Bei Wu:
KLAPrompt: Infusing Semantic Knowledge into Pre-trained Language Models by Long-answer Prompt Learning. SEKE 2023: 621-626 - [i9]Tianyu Yu, Yangning Li, Jiaoyan Chen, Yinghui Li, Hai-Tao Zheng, Xi Chen, Qingbin Liu, Wenqiang Liu, Dongxiao Huang, Bei Wu, Yexin Wang:
Knowledge-augmented Few-shot Visual Relation Detection. CoRR abs/2303.05342 (2023) - 2022
- [j25]Shuang Li, Wenqiang Liu, Guili Tao:
Centralized fusion robust filtering for networked uncertain systems with colored noises, one-step random delay, and packet dropouts. EURASIP J. Adv. Signal Process. 2022(1): 24 (2022) - [j24]Tuanning Liu, Wenqiang Liu, Yuanping Zhou, Kesong Fan:
Reduced-dimension MVDR beamformer based on sub-array optimization. IET Commun. 16(18): 2183-2192 (2022) - [j23]Wenqiang Liu, Hongyun Cai, Xu Cheng, Sifa Xie, Yipeng Yu, dukehyzhang:
Learning high-order structural and attribute information by knowledge graph attention networks for enhancing knowledge graph embedding. Knowl. Based Syst. 250: 109002 (2022) - [c21]Yuanning Cui, Yuxin Wang, Zequn Sun, Wenqiang Liu, Yiqiao Jiang, Kexin Han, Wei Hu:
Inductive Knowledge Graph Reasoning for Multi-batch Emerging Entities. CIKM 2022: 335-344 - [c20]Yuxin Wang, Yuanning Cui, Wenqiang Liu, Zequn Sun, Yiqiao Jiang, Kexin Han, Wei Hu:
Facing Changes: Continual Entity Alignment for Growing Knowledge Graphs. ISWC 2022: 196-213 - [i8]Yuxin Wang, Yuanning Cui, Wenqiang Liu, Zequn Sun, Yiqiao Jiang, Kexin Han, Wei Hu:
Facing Changes: Continual Entity Alignment for Growing Knowledge Graphs. CoRR abs/2207.11436 (2022) - [i7]Yuanning Cui, Yuxin Wang, Zequn Sun, Wenqiang Liu, Yiqiao Jiang, Kexin Han, Wei Hu:
Inductive Knowledge Graph Reasoning for Multi-batch Emerging Entities. CoRR abs/2208.10378 (2022) - [i6]Yuanning Cui, Yuxin Wang, Zequn Sun, Wenqiang Liu, Yiqiao Jiang, Kexin Han, Wei Hu:
Lifelong Embedding Learning and Transfer for Growing Knowledge Graphs. CoRR abs/2211.15845 (2022) - 2021
- [j22]Yu Xing, Yu Zhou, Xin Yan, Haisen Zhao, Wenqiang Liu, Jingbo Jiang, Lin Lu:
Shell thickening for extrusion-based ceramics printing. Comput. Graph. 97: 160-169 (2021) - [j21]Wenqiang Liu, Guili Tao, Chen Shen:
Robust measurement fusion steady-state estimator design for multisensor networked systems with random two-step transmission delays and missing measurements. Math. Comput. Simul. 181: 242-283 (2021) - [j20]Yuyang Li, Zhiwei Han, Zhigang Liu, Hui Wang, Chengxi You, Wenqiang Liu:
A Multilevel Feature and Structure Prior Information-Based Positioning Approach for Catenary Support Components. IEEE Trans. Instrum. Meas. 70: 1-13 (2021) - [j19]Wenqiang Liu, Zhigang Liu, Qiao Li, Zhiwei Han, Alfredo Núñez:
High-Precision Detection Method for Structure Parameters of Catenary Cantilever Devices Using 3-D Point Cloud Data. IEEE Trans. Instrum. Meas. 70: 1-11 (2021) - [j18]Wenqiang Liu, Zhigang Liu, Yuyang Li, Hui Wang, Cheng Yang, Dan Wang, Donghai Zhai:
An Automatic Loose Defect Detection Method for Catenary Bracing Wire Components Using Deep Convolutional Neural Networks and Image Processing. IEEE Trans. Instrum. Meas. 70: 1-14 (2021) - [j17]Junping Zhong, Zhigang Liu, Hongrui Wang, Wenqiang Liu, Cheng Yang, Zhiwei Han, Alfredo Núñez:
A Looseness Detection Method for Railway Catenary Fasteners Based on Reinforcement Learning Refined Localization. IEEE Trans. Instrum. Meas. 70: 1-13 (2021) - [c19]Jianshun Sang, Wenqiang Liu, Bei Wu, Hao Guo, Dongxiao Huang, Yiqiao Jiang:
TGKG: New Data Graph Based on Game Ontology. CCKS 2021: 267-273 - [c18]Wenqiang Liu, Junfeng Hu, Fengxin Jiang, Bing Gong, Xiaolong Deng, Yongjiang Xu:
Analysis and Optimization of Interior Noise Based on Transfer Path Analysis. ICIRA (2) 2021: 542-551 - [c17]Yipeng Yu, Zixun Sun, Chi Sun, Wenqiang Liu:
Hierarchical Multilabel Text Classification via Multitask Learning. ICTAI 2021: 1138-1143 - 2020
- [j16]Wenqiang Liu, Zhigang Liu, Alfredo Núñez, Zhiwei Han:
Unified Deep Learning Architecture for the Detection of All Catenary Support Components. IEEE Access 8: 17049-17059 (2020) - [j15]Xiaonan Zhao, Jingjing Li, Wenqiang Liu, Junjie Zhang, Yang Li:
Design of the sleeping aid system based on face recognition. Ad Hoc Networks 99: 102070 (2020) - [j14]Pengwei Wang, Caihui Zhao, Wenqiang Liu, Zhen Chen, Zhaohui Zhang:
Optimizing Data Placement for Cost Effective and High Available Multi-Cloud Storage. Comput. Informatics 39(1): 51-82 (2020) - [j13]Fanchao Zhong, Wenqiang Liu, Yu Zhou, Xin Yan, Yi Wan, Lin Lu:
Ceramic 3D printed sweeping surfaces. Comput. Graph. 90: 108-115 (2020) - [j12]Wenqiang Liu, Pengwei Wang, Ying Meng, Caihui Zhao, Zhaohui Zhang:
Cloud spot instance price prediction using k NN regression. Hum. centric Comput. Inf. Sci. 10: 34 (2020) - [j11]Wenqiang Liu, Zhigang Liu, Hui Wang, Zhiwei Han:
An Automated Defect Detection Approach for Catenary Rod-Insulator Textured Surfaces Using Unsupervised Learning. IEEE Trans. Instrum. Meas. 69(10): 8411-8423 (2020) - [c16]Wenqiang Liu, Dan Wang, Yuyang Li, Cheng Yang, Hui Wang, Zhigang Liu:
An Automatic Fracture Defect Detection Approach for Current-carrying Rings of Catenary Droppers Using A Multi-task Neural Network. ICACI 2020: 591-596 - [c15]Guili Tao, Wenqiang Liu, Xinghua Zhang:
Robust centralized fusion Kalman predictor for uncertain descriptor system with missing measurements. ICCA 2020: 253-259 - [i5]Yijiang Lian, Zhenjun You, Fan Wu, Wenqiang Liu, Jing Jia:
Retrieve Synonymous keywords for Frequent Queries in Sponsored Search in a Data Augmentation Way. CoRR abs/2008.01969 (2020)
2010 – 2019
- 2019
- [j10]Wenqiang Liu, Pengwei Wang, Ying Meng, Qin Zhao, Caihui Zhao, Zhaohui Zhang:
A Novel Model for Optimizing Selection of Cloud Instance Types. IEEE Access 7: 120508-120521 (2019) - [j9]Wenqiang Liu, Jun Liu, Bifan Wei, Haimeng Duan, Wei Hu:
A new truth discovery method for resolving object conflicts over Linked Data with scale-free property. Knowl. Inf. Syst. 59(2): 465-495 (2019) - [c14]Ying Meng, Zhaohui Zhang, Wenqiang Liu, Ligong Chen, Qiuwen Liu, Lijun Yang, Pengwei Wang:
A novel method based on entity relationship for online transaction fraud detection. ACM TUR-C 2019: 121:1-121:10 - [c13]Wenqiang Liu, Pengwei Wang, Ying Meng, Guobing Zou, Zhaohui Zhang:
A Novel Algorithm for Optimizing Selection of Cloud Instance Types in Multi-Cloud Environment. ICPADS 2019: 167-170 - [c12]Wenqiang Liu, Zhigang Liu, Alfredo Núñez:
Virtual Reality and Convolutional Neural Networks for Railway Catenary Support Components Monitoring. ITSC 2019: 2183-2188 - [i4]Wenqiang Liu, Hongyun Cai, Xu Cheng, Sifa Xie, Yipeng Yu, Hanyu Zhang:
Learning High-order Structural and Attribute information by Knowledge Graph Attention Networks for Enhancing Knowledge Graph Embedding. CoRR abs/1910.03891 (2019) - 2018
- [j8]Wenqiang Liu, Xuemei Wang, Zi-Li Deng:
Robust Centralized and Weighted Measurement Fusion Kalman Predictors with Multiplicative Noises, Uncertain Noise Variances, and Missing Measurements. Circuits Syst. Signal Process. 37(2): 770-809 (2018) - [j7]Wenqiang Liu, Jun Liu, Mengmeng Wu, Samar Abbas, Wei Hu, Bifan Wei, Qinghua Zheng:
Representation learning over multiple knowledge graphs for knowledge graphs alignment. Neurocomputing 320: 12-24 (2018) - [j6]Zhongying Zhao, Wenqiang Liu, Yuhua Qian, Liqiang Nie, Yilong Yin, Yong Zhang:
Identifying advisor-advisee relationships from co-author networks via a novel deep model. Inf. Sci. 466: 258-269 (2018) - [c11]Ruoqing Ren, Haimeng Duan, Wenqiang Liu, Jun Liu:
AUnet: An Unsupervised Method for Answer Reliability Evaluation in Community QA Systems. APWeb/WAIM Workshops 2018: 281-292 - [c10]Zhigang Liu, Junping Zhong, Yang Lyu, Kai Liu, Ye Han, Liyou Wang, Wenqiang Liu:
Location and fault detection of catenary support components based on deep learning. I2MTC 2018: 1-6 - 2017
- [j5]Wenqiang Liu, Xuemei Wang, Zi-Li Deng:
Robust centralized and weighted measurement fusion Kalman estimators for uncertain multisensor systems with linearly correlated white noises. Inf. Fusion 35: 11-25 (2017) - [j4]Wenqiang Liu, Xuemei Wang, Zi-Li Deng:
Robust centralized and weighted measurement fusion Kalman estimators for multisensor systems with multiplicative and uncertain-covariance linearly correlated white noises. J. Frankl. Inst. 354(4): 1992-2031 (2017) - [j3]Xuemei Wang, Wenqiang Liu, Zi-Li Deng:
Robust weighted fusion Kalman estimators for multi-model multisensor systems with uncertain-variance multiplicative and linearly correlated additive white noises. Signal Process. 137: 339-355 (2017) - [j2]Zhigang Liu, Wenqiang Liu, Zhiwei Han:
A High-Precision Detection Approach for Catenary Geometry Parameters of Electrical Railway. IEEE Trans. Instrum. Meas. 66(7): 1798-1808 (2017) - [c9]Mengmeng Wu, Wanwen Zeng, Wenqiang Liu, Yijia Zhang, Ting Chen, Rui Jiang:
Integrating embeddings of multiple gene networks to prioritize complex disease-associated genes. BIBM 2017: 208-215 - [c8]Guizhen Guan, Tianqi Yang, Wenqiang Liu:
Gait recognition with skeleton information by using ensemble learning. CISP-BMEI 2017: 1-7 - [c7]Wenqiang Liu, Jun Liu, Haimeng Duan, Wei Hu, Bifan Wei:
Exploiting Source-Object Networks to Resolve Object Conflicts in Linked Data. ESWC (1) 2017: 53-67 - [c6]Wenqiang Liu, Zi-Li Deng:
Robust weighted fusion white noise deconvolution estimators with uncertain-variance linearly correlated white noises and missing measurements. FUSION 2017: 1-8 - [c5]Wenqiang Liu, Zhiyi Wang, Tao Lv, Hejiao Huang, Xiaohua Jia:
Delay-bounded and minimal energy broadcast in satellite networks with multi-power levels. ICC 2017: 1-6 - [c4]Meng Wang, Jiaheng Zhang, Jun Liu, Wei Hu, Sen Wang, Xue Li, Wenqiang Liu:
PDD Graph: Bridging Electronic Medical Records and Biomedical Knowledge Graphs via Entity Linking. ISWC (2) 2017: 219-227 - [c3]Wenqiang Liu, Jun Liu, Haimeng Duan, Jian Zhang, Wei Hu, Bifan Wei:
TruthDiscover: Resolving Object Conflicts on Massive Linked Data. WWW (Companion Volume) 2017: 243-246 - [i3]Meng Wang, Jiaheng Zhang, Jun Liu, Wei Hu, Sen Wang, Xue Li, Wenqiang Liu:
PDD Graph: Bridging Electronic Medical Records and Biomedical Knowledge Graphs via Entity Linking. CoRR abs/1707.05340 (2017) - 2016
- [j1]Wenqiang Liu, Xuemei Wang, Zi-Li Deng:
Robust weighted fusion steady-state white noise deconvolution smoothers for multisensor systems with uncertain noise variances. Signal Process. 122: 98-114 (2016) - [c2]Tao Lv, Wenqiang Liu, Hejiao Huang, Xiaohua Jia:
Optimal Data Downloading by Using Inter-Satellite Offloading in LEO Satellite Networks. GLOBECOM 2016: 1-6 - [i2]Wenqiang Liu, Jun Liu, Jian Zhang, Haimeng Duan, Bifan Wei:
TruthDiscover: A Demonstration of Resolving Object Conflicts on Massive Linked Data. CoRR abs/1603.02056 (2016) - [i1]Wenqiang Liu, Jun Liu, Haimeng Duan, Xie He, Bifan Wei:
Exploiting Source-Object Network to Resolve Object Conflicts in Linked Data. CoRR abs/1604.08407 (2016) - 2014
- [c1]Meng Wang, Jun Liu, Wenqiang Liu, Qinghua Zheng, Wei Zhang, Lingyun Song, Siyu Yao:
Faceted Exploring for Domain Knowledge over Linked Open Data. CIKM 2014: 2009-2011
Coauthor Index
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