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Haiping Yu
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2020 – today
- 2024
- [j16]Rongqiang Feng, Hongwei Du, Tianchi Du, Xueqiong Wu, Haiping Yu, Kexin Zhang, Chenxi Huang, Lianlian Cao:
Fault diagnosis for wind turbines based on LSTM and feature optimization strategies. Concurr. Comput. Pract. Exp. 36(1) (2024) - [j15]Ping Sun, Linlin Song, Ling Yuan, Haiping Yu, YinZhen Wei:
Research of news text classification method based on hierarchical semantics and prior correction. J. Intell. Fuzzy Syst. 46(4): 8185-8203 (2024) - 2023
- [j14]Haiping Yu:
Application of blockchain technology in the data processing security system of financial enterprises. Secur. Priv. 6(2) (2023) - 2021
- [j13]Ling Yuan, Zhuwen Pan, Ping Sun, YinZhen Wei, Haiping Yu:
Deep context interaction network based on attention mechanism for click-through rate prediction. J. Intell. Fuzzy Syst. 41(6): 6899-6914 (2021) - [c12]Aoxing Li, Xiaoli Lin, Haiping Yu:
Inferring DTIs Based on Similarity Clustering and CaGCN-DTI Model from Heterogeneous Network. BIBM 2021: 2399-2406 - [c11]Shuai Xu, Xiaoli Lin, Haiping Yu:
Prediction of Drug-Target Interactions Using Molecular Graph and GDNet-DTI Model. BIBM 2021: 3747-3754 - [c10]Jia Chen, Haiping Yu, Yimei Kang:
A Multi-Layer Multi-Channel Attentive Network for Gender and Age Recognition. ICASSP 2021: 4135-4139 - [c9]Aoxing Li, Xiaoli Lin, Minqi Xu, Haiping Yu:
Drug-Target Interactions Prediction with Feature Extraction Strategy Based on Graph Neural Network. ICIC (3) 2021: 561-569 - 2020
- [j12]Yiteng Pan, Fazhi He, Haiping Yu, Haoran Li:
Learning adaptive trust strength with user roles of truster and trustee for trust-aware recommender systems. Appl. Intell. 50(2): 314-327 (2020) - [j11]Yiteng Pan, Fazhi He, Haiping Yu:
A correlative denoising autoencoder to model social influence for top-N recommender system. Frontiers Comput. Sci. 14(3): 143301 (2020) - [j10]Haiping Yu, Fazhi He, Yiteng Pan:
A scalable region-based level set method using adaptive bilateral filter for noisy image segmentation. Multim. Tools Appl. 79(9-10): 5743-5765 (2020) - [j9]Haiping Yu, Fazhi He, Yiteng Pan:
A survey of level set method for image segmentation with intensity inhomogeneity. Multim. Tools Appl. 79(39-40): 28525-28549 (2020) - [j8]Yiteng Pan, Fazhi He, Haiping Yu:
Learning social representations with deep autoencoder for recommender system. World Wide Web 23(4): 2259-2279 (2020) - [c8]Xiaoli Lin, Minqi Xu, Haiping Yu:
Prediction of Drug-Target Interactions with CNNs and Random Forest. ICIC (2) 2020: 361-370
2010 – 2019
- 2019
- [j7]Kang Li, Fazhi He, Haiping Yu, Xiao Chen:
A parallel and robust object tracking approach synthesizing adaptive Bayesian learning and improved incremental subspace learning. Frontiers Comput. Sci. 13(5): 1116-1135 (2019) - [j6]Yiteng Pan, Fazhi He, Haiping Yu:
A novel Enhanced Collaborative Autoencoder with knowledge distillation for top-N recommender systems. Neurocomputing 332: 137-148 (2019) - [j5]Xiao Chen, Fazhi He, Haiping Yu:
A matting method based on full feature coverage. Multim. Tools Appl. 78(9): 11173-11201 (2019) - [j4]Haiping Yu, Fazhi He, Yiteng Pan:
A novel segmentation model for medical images with intensity inhomogeneity based on adaptive perturbation. Multim. Tools Appl. 78(9): 11779-11798 (2019) - 2018
- [j3]Kang Li, Fazhi He, Haiping Yu:
Robust Visual Tracking Based on Convolutional Features with Illumination and Occlusion Handing. J. Comput. Sci. Technol. 33(1): 223-236 (2018) - [j2]Haiping Yu, Fazhi He, Yiteng Pan:
A novel region-based active contour model via local patch similarity measure for image segmentation. Multim. Tools Appl. 77(18): 24097-24119 (2018) - [c7]Yiteng Pan, Fazhi He, Haiping Yu:
An Adaptive Method to Learn Directive Trust Strength for Trust-aware Recommender Systems. CSCWD 2018: 10-16 - 2017
- [j1]Xiao Chen, Fazhi He, Haiping Yu:
A Three-Stage Matting Method. IEEE Access 5: 27732-27739 (2017) - [c6]Yunfei Liu, Haiping Yu, Zengquan Yuan, Jinhua Liang:
Developing an accelerated life test method for LED driver and failure analysis. IECON 2017: 5039-5042 - [i1]Yiteng Pan, Fazhi He, Haiping Yu:
Trust-aware Top-N Recommender Systems with Correlative Denoising Autoencoder. CoRR abs/1703.01760 (2017) - 2015
- [c5]Haiping Yu, Huali Zhang:
Regularized Level Set Method by Incorporating Local Statistical Information and Global Similarity Compatibility for Image Segmentation. ICIC (1) 2015: 388-399 - 2013
- [c4]Haiping Yu, Xueyan Li:
High Dimensional Problem Based on Elite-Grouped Adaptive Particle Swarm Optimization. ICIC (2) 2013: 130-136 - [c3]Fengli Zhou, Haiping Yu:
An Improved Particle Swarm Optimization Algorithm with Quadratic Interpolation. ICIC (2) 2013: 137-144 - [c2]Haiping Yu, Fengli Zhou:
A hybrid particle swarm optimization strategy for multimodal function optimization. ICNC 2013: 471-475 - 2012
- [c1]Haiping Yu, Fengying Yang:
A Phased Adaptive PSO Algorithm for Multimodal Function Optimization. ICIC (1) 2012: 73-79
Coauthor Index
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last updated on 2024-06-10 21:21 CEST by the dblp team
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