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ORCIDYongquan Liang 0001
Person information
- affiliation: Shandong University of Science and Technology, College of Computer Science and Engineering, Qingdao, China
- affiliation (PhD 1999): Chinese Academy of Sciences, Institute of Computing Technology, Beijing, China
Other persons with the same name
- Yong-Quan Liang (aka: Yong-quan Liang, Yongquan Liang) — disambiguation page
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2020 – today
- 2025
[j38]Yuncan Tang
, Lina Ni, Jufeng Li, Jinquan Zhang, Yongquan Liang:
Federated learning based on dynamic hierarchical game incentives in Industrial Internet of Things. Adv. Eng. Informatics 65: 103214 (2025)- [j37]Ning Li, Shujuan Ji, Yingtong Dou, Dickson K. W. Chiu, Qi Zhang, Yongquan Liang, Yongshan Wei:
Temporal Neighbor Sequence-based Interpretable Spammer Groups Detection on E-commerce platform. Inf. Process. Manag. 62(6): 104177 (2025) - [j36]Yajuan Zhang, Yongquan Liang, Junjie Wang, Houying Zhu, Zhihui Wang:
Enhanced multi-object tracking via embedded graph matching and differentiable Sinkhorn assignment: addressing challenges in occlusion and varying object appearances. Vis. Comput. 41(8): 6067-6085 (2025) - 2024
- [j35]Yuncan Tang, Yongquan Liang:
Credit card fraud detection based on federated graph learning. Expert Syst. Appl. 256: 124979 (2024) - [j34]Yuncan Tang, Yongquan Liang, Yang Liu, Jinquan Zhang, Lina Ni, Liang Qi:
Reliable federated learning based on dual-reputation reverse auction mechanism in Internet of Things. Future Gener. Comput. Syst. 156: 269-284 (2024) - [j33]Ruiping Yang, Kun Liu, Yongquan Liang:
A fusion-attention swin transformer for cardiac MRI image segmentation. IET Image Process. 18(1): 105-115 (2024) - [j32]Yajuan Zhang, Yongquan Liang, Jiaxu Leng, Zhihui Wang:
SCGTracker: Spatio-temporal correlation and graph neural networks for multiple object tracking. Pattern Recognit. 149: 110249 (2024) - 2023
- [j31]Yongquan Liang, Qiuyu Song, Zhongying Zhao, Hui Zhou, Maoguo Gong:
BA-GNN: Behavior-aware graph neural network for session-based recommendation. Frontiers Comput. Sci. 17(6): 176613 (2023) - [j30]Yuan Tian, Yongquan Liang, Yufeng Chen, Hongyang Bian:
Analysis of delirium prediction in the ICU based on the hybrid SGDCS-ANFIS approach. Medical Biol. Eng. Comput. 61(3): 673-683 (2023) - [j29]Yang Zhang, Yongquan Liang, Bin Jia, Pinxiang Wang:
Scheduling and Process Optimization for Blockchain-Enabled Cloud Manufacturing Using Dynamic Selection Evolutionary Algorithm. IEEE Trans. Ind. Informatics 19(2): 1903-1911 (2023) - 2022
- [j28]Yang Zhang, Yongquan Liang, Bin Jia, Pinxiang Wang, Xiaosong Zhang:
A blockchain-enabled learning model based on distributed deep learning architecture. Int. J. Intell. Syst. 37(9): 6577-6604 (2022) - [j27]Naidan Feng, Tsu-Yang Wu, Yongquan Liang:
A deep dynamic neural network model and its application for ECG classification. J. Intell. Fuzzy Syst. 43(2): 2147-2154 (2022) - [j26]Bin Jia, Xiaosong Zhang, Jiewen Liu, Yang Zhang, Ke Huang, Yongquan Liang:
Blockchain-Enabled Federated Learning Data Protection Aggregation Scheme With Differential Privacy and Homomorphic Encryption in IIoT. IEEE Trans. Ind. Informatics 18(6): 4049-4058 (2022) - 2021
- [j25]Shaohua Xu, Naidan Feng, Kun Liu, Yongquan Liang, Xiaoyu Liu:
A weighted fuzzy process neural network model and its application in mixed-process signal classification. Expert Syst. Appl. 172: 114642 (2021) - [j24]Lei Yi, Shujuan Ji, Lingmei Ren, Rui Su, Yongquan Liang:
A Nonlinear Feature Fusion-Based Rating Prediction Algorithm in Heterogeneous Network. IEEE Trans. Comput. Soc. Syst. 8(3): 728-736 (2021) - [c23]Xin Wang, Shujuan Ji, Yongquan Liang:
Research on Fake Rating Detection Algorithm Based on Deep Learning. CONF-CDS 2021: 88:1-88:7 - 2020
- [j23]Guangcun Wei, Wansheng Rong, Yongquan Liang, Xinguang Xiao, Xiang Liu:
Toward Arbitrary-Shaped Text Spotting Based on End-to-End. IEEE Access 8: 159906-159914 (2020) - [j22]Gengkun Wu, Chuanxi Liu, Yongquan Liang:
Computational Simulation and Modeling of Freak Waves Based on Longuet-Higgins Model and Its Electromagnetic Scattering Calculation. Complex. 2020: 2727681:1-2727681:14 (2020) - [j21]Naidan Feng, Yongquan Liang:
A new rough set based bayesian classifier prior assumption. J. Intell. Fuzzy Syst. 39(3): 2647-2655 (2020) - [c22]Hanjiang Luo, Chao Liu, Yu Luo, Xu Wang, Ziyang Xu, Yongquan Liang:
SDMA: A SDN-based Architecture of Multi-modal AUVs Network. ACM TUR-C 2020: 181-184 - [c21]Cong Zou, Yong-quan Liang:
Bird Detection on Transmission Lines Based on DC-YOLO Model. IIP 2020: 222-231 - [e1]Jeng-Shyang Pan, Jerry Chun-Wei Lin, Yongquan Liang, Shu-Chuan Chu:
Genetic and Evolutionary Computing - Proceedings of the Thirteenth International Conference on Genetic and Evolutionary Computing, ICGEC 2019, November 1-3, 2019, Qingdao, China. Advances in Intelligent Systems and Computing 1107, Springer 2020, ISBN 978-981-15-3307-5 [contents]
2010 – 2019
- 2019
- [j20]Naidan Feng, Shaohua Xu, Yongquan Liang, Kun Liu:
A Probabilistic Process Neural Network and Its Application in ECG Classification. IEEE Access 7: 50431-50439 (2019) - [j19]Lina Gao, Zhongying Zhao, Liang Qi, Yongquan Liang, Junwei Du:
Modeling the Effort and Learning Ability of Students in MOOCs. IEEE Access 7: 128035-128042 (2019) - [j18]Hanjiang Luo, Xiumei Xie, Guangjie Han, Rukhsana Ruby, Feng Hong, Yongquan Liang:
Multimodal Acoustic-RF Adaptive Routing Protocols for Underwater Wireless Sensor Networks. IEEE Access 7: 134954-134967 (2019) - [j17]Xin Wang, Shu-Juan Ji, Yongquan Liang, Ho-fung Leung, Dickson K. W. Chiu:
An unsupervised strategy for defending against multifarious reputation attacks. Appl. Intell. 49(12): 4189-4210 (2019) - [j16]Hui Zhou, Zhongying Zhao, Chao Li, Yongquan Liang, Qingtian Zeng:
Rank2vec: Learning node embeddings with local structure and global ranking. Expert Syst. Appl. 136: 276-287 (2019) - [c20]Hanjiang Luo, Chao Liu, Yongquan Liang:
A SDN-based testbed for underwater sensor networks. ACM TUR-C 2019: 107:1-107:4 - 2018
- [j15]Shujuan Ji, Haiyan Ma, Yongquan Liang, Ho-fung Leung, Chun-jin Zhang:
Correction to: A whitelist and blacklist-based co-evolutionary strategy for defensing against multifarious trust attacks. Appl. Intell. 48(7): 1891 (2018) - [j14]Hanjiang Luo, Kaishun Wu, Rukhsana Ruby, Yongquan Liang, Zhongwen Guo, Lionel M. Ni:
Software-Defined Architectures and Technologies for Underwater Wireless Sensor Networks: A Survey. IEEE Commun. Surv. Tutorials 20(4): 2855-2888 (2018) - [j13]Huanqing Cui, Yongquan Liang, Chuanai Zhou, Ning Cao:
Localization of Large-Scale Wireless Sensor Networks Using Niching Particle Swarm Optimization and Reliable Anchor Selection. Wirel. Commun. Mob. Comput. 2018: 2473875:1-2473875:18 (2018) - [j12]Ge Wang, Pengbo Pu, Yongquan Liang:
Topic and Sentiment Words Extraction in Cross-Domain Product Reviews. Wirel. Pers. Commun. 102(2): 1773-1783 (2018) - [c19]Mingjuan Cai, Yongquan Liang:
An Improved CURE Algorithm. ICIS 2018: 102-111 - 2017
- [j11]Shujuan Ji, Haiyan Ma, Yongquan Liang, Ho-fung Leung, Chun-jin Zhang:
A whitelist and blacklist-based co-evolutionary strategy for defensing against multifarious trust attacks. Appl. Intell. 47(4): 1115-1131 (2017) - [j10]Chongqing Zhang, Yinglong Wang, Yongquan Liang, Minglei Shu, Jinquan Zhang, Lina Ni:
Low Duty-Cycling MAC Protocol for Low Data-Rate Medical Wireless Body Area Networks. Sensors 17(5): 1134 (2017) - [c18]Hanjiang Luo, Rukhsana Ruby, Xiumei Xie, Yongquan Liang:
HARS: A Hybrid Adaptive Routing Scheme for Underwater Sensor Networks. ICPADS 2017: 284-291 - 2016
- [j9]Jiancong Fan, Zhonghan Niu, Yongquan Liang, Zhongying Zhao:
Probability model selection and parameter evolutionary estimation for clustering imbalanced data without sampling. Neurocomputing 211: 172-181 (2016) - [j8]Hongrun Ma, Liang Li, Yongquan Liang, Junpeng Chen, Jian Yin:
Efficient virtual network transmission using correlated equilibrium on Xen-based platform. J. Vis. Commun. Image Represent. 35: 248-256 (2016) - [j7]Chongqing Zhang, Yinglong Wang, Yongquan Liang, Minglei Shu, Changfang Chen:
An Energy-Efficient MAC Protocol for Medical Emergency Monitoring Body Sensor Networks. Sensors 16(3): 385 (2016) - 2015
- [j6]Shu-Juan Ji, Ho-fung Leung, Kwang Mong Sim, Yongquan Liang, Dickson K. W. Chiu:
An adaptive prediction-regret driven strategy for one-shot bilateral bargaining software agents. Expert Syst. Appl. 42(1): 411-425 (2015) - [j5]Shujuan Ji, Li Wang, Yongquan Liang, Jianli Zhao:
基于神经网络的用户视频评分自动获取方法 (Neural-network-based Method for Automatic Acquisition of User's Video Rating). 计算机科学 42(11): 96-100 (2015) - [c17]Zhiyong Gao, Yongquan Liang:
The ontology construction approach for the Chinese Tax Knowledge Domain. FSKD 2015: 1693-1697 - [c16]Chongqing Zhang, Yinglong Wang, Yongquan Liang, Minglei Shu, Changfang Chen, Sheng Fang:
Load-balancing routing for wireless sensor networks with multiple sinks. FSKD 2015: 2153-2157 - [c15]Yuankun Ma, Shujuan Ji, Yongquan Liang, Jianli Zhao, Yongfeng Cui:
A Hybrid Recommendation List Aggregation Algorithm for Group Recommendation. WI-IAT (1) 2015: 405-408 - 2014
- [c14]Wenhua Liu, Yongquan Liang, Jiancong Fan, Zheng Feng, Yuhao Cai:
Improved Hierarchical K-means Clustering Algorithm without Iteration Based on Distance Measurement. IIP 2014: 38-46 - 2013
- [j4]Xin Jin, Yongquan Liang, Dongping Tian, Fuzhen Zhuang:
Particle swarm optimization using dimension selection methods. Appl. Math. Comput. 219(10): 5185-5197 (2013) - [c13]Tianyi Liang, Jiancong Fan, Jianli Zhao, Yongquan Liang, Yujun Li:
Improved Slope One Collaborative Filtering Predictor Using Fuzzy Clustering. ADMA (1) 2013: 181-192 - 2012
- [j3]Jiancong Fan, Qiang Xu, Yongquan Liang:
A novel classification learning framework based on estimation of distribution algorithms. Int. J. Comput. Sci. Math. 3(4): 353-366 (2012) - [c12]Jiancong Fan, Qiang Xu, Yongquan Liang:
Analysis of classification learning based on estimation of distribution algorithms. FSKD 2012: 855-859 - [c11]Wenjuan Lian, Hua Duan, Jingjing Yan, Yongquan Liang, Qingtian Zeng:
Agent-Based Task Decomposing Technique for Web Service Composition. ICIC (2) 2012: 617-624 - 2011
- [j2]Jiancong Fan, Yongquan Liang, Qiang Xu, Ruisheng Jia, Zhihua Cui:
EDA-USL: unsupervised clustering algorithm based on estimation of distribution algorithm. Int. J. Wirel. Mob. Comput. 5(1): 88-97 (2011) - [c10]Tong Liu, Yongquan Liang, Weijian Ni:
A learning strategy for highly imbalanced classification. ICIMCS 2011: 116-119
2000 – 2009
- 2009
- [j1]Qingtian Zeng, Zhongying Zhao, Yongquan Liang:
Course ontology-based user's knowledge requirement acquisition from behaviors within e-learning systems. Comput. Educ. 53(3): 809-818 (2009) - [c9]Jiancong Fan, Jiuhong Ruan, Yongquan Liang:
An Evolutionary Solution for Cooperative and Competitive Mobile Agents. AICI 2009: 599-607 - [c8]Jiancong Fan, Yongquan Liang, Jiuhong Ruan:
An Evolutionary Mining Model in Incremental Data Mining. ICNC (3) 2009: 114-118 - 2007
- [c7]Yong Yuan, Yong-quan Liang:
An adaptive agent architecture for automated negotiation. I3E (1) 2007: 601-609 - [c6]Shujuan Ji, Yongquan Liang, Xingpeng Xiao, Jixue Li, Qijia Tian:
An Attitude-adaptation Negotiation Strategy in Electronic Market Environments. SNPD (3) 2007: 125-130 - [c5]Shujuan Ji, Qijia Tian, Yongquan Liang, Hongmei Yang:
An Ontology Framework for EC Automated Negotiation Protocol. SNPD (3) 2007: 432-437 - [c4]Yongquan Liang, Jiancong Fan, Zhongying Zhao:
A New Clustering Algorithm Based on Token Ring. SNPD (1) 2007: 443-446 - [c3]Yong Yuan, Yong-quan Liang:
Multi-issue Negotiation Research based on Niched Co-evolutionary Genetic Algorithm. SNPD (1) 2007: 564-569 - 2006
- [c2]Qingtian Zeng, Cungen Cao, Hua Duan, Yongquan Liang:
NKIMathE - A Multi-purpose Knowledge Management Environment for Mathematical Concepts. KSEM 2006: 625-636 - 2005
- [c1]Shujuan Ji, Qijia Tian, Yongquan Liang:
A Petri-Net-Based Modeling Framework for Automated Negotiation Protocols in Electronic Commerce. PRIMA 2005: 324-336
Coauthor Index
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