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ORCIDJiansheng Wu
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
[j42]Jiapeng Hui, Guoyun Lian, Jiansheng Wu, Shuting Ge, Jinfeng Yang:
Proportional feature pyramid network based on weight fusion for lane detection. PeerJ Comput. Sci. 10: e1824 (2024)- [j41]Zhengpeng Li
, Jun Hu, Kunyang Wu, Jiawei Miao, Jiansheng Wu:
Adjacent-Atrous Mechanism for Expanding Global Receptive Fields: An End-to-End Network for Multiattribute Scene Analysis in Remote Sensing Imagery. IEEE Trans. Geosci. Remote. Sens. 62: 1-19 (2024) - 2023
- [j40]Meixia Fu, Jiansheng Wu, Qu Wang, Lei Sun, Zhangchao Ma, Chaoyi Zhang, Wanqing Guan, Wei Li, Na Chen, Danshi Wang, Jianquan Wang:
Region-based fully convolutional networks with deformable convolution and attention fusion for steel surface defect detection in industrial Internet of Things. IET Signal Process. 17(5) (2023) - [j39]Ji Ding, Shidi Tang, Zheming Mei, Lingyue Wang, Qinqin Huang, Haifeng Hu, Ming Ling, Jiansheng Wu:
Vina-GPU 2.0: Further Accelerating AutoDock Vina and Its Derivatives with Graphics Processing Units. J. Chem. Inf. Model. 63(7): 1982-1998 (2023) - [j38]Zhengpeng Li, Jiansheng Wu, Jiawei Miao, Xinmiao Yu, Shuaibo Li:
A Topic Inference Chinese News Headline Generation Method Integrating Copy Mechanism. Neural Process. Lett. 55(2): 1337-1353 (2023) - [j37]Xingxing Zhou, Ming Ling, Qingde Lin, Shidi Tang, Jiansheng Wu, Haifeng Hu:
Effectiveness Analysis of Multiple Initial States Simulated Annealing Algorithm, a Case Study on the Molecular Docking Tool AutoDock Vina. IEEE ACM Trans. Comput. Biol. Bioinform. 20(6): 3830-3841 (2023) - [j36]Ming Ling, Qingde Lin, Ruiqi Chen, Haimeng Qi, Mengru Lin, Yanxiang Zhu, Jiansheng Wu:
Vina-FPGA: A Hardware-Accelerated Molecular Docking Tool With Fixed-Point Quantization and Low-Level Parallelism. IEEE Trans. Very Large Scale Integr. Syst. 31(4): 484-497 (2023) - [c37]Yifan Lu, Meixia Fu, Liang Hao, Zhangchao Ma, Lei Wang, Jiansheng Wu, Jing Peng, Wanqing Guan, Jianquan Wang:
A Novel Direction Vector-based Coordinate Deduplication Algorithm in the Visual Sorting System with Cloud Programmable Logic Controller. BMSB 2023: 1-5 - [c36]Zhenqian Wang, Meixia Fu, Qu Wang, Yifan Lu, Jiansheng Wu, Le Chen, Wanqing Guan, Wei Li, Jianquan Wang:
Linkage Transformer: an Attention Based Neural Network for Multi-Cell Traffic Prediction. BMSB 2023: 1-3 - [i1]Yueming Yin, Haifeng Hu, Zhen Yang, Jitao Yang, Chun Ye, Jiansheng Wu, Wilson Wen Bin Goh:
An open unified deep graph learning framework for discovering drug leads. CoRR abs/2301.03424 (2023) - 2022
- [j35]Yueming Yin, Haifeng Hu, Zhen Yang, Feihu Jiang, Yihe Huang, Jiansheng Wu:
AFSE: towards improving model generalization of deep graph learning of ligand bioactivities targeting GPCR proteins. Briefings Bioinform. 23(3) (2022) - [j34]Jiansheng Wu, Chuangchuang Lan, Zheming Mei, Xiaohuyan Chen, Yanxiang Zhu, Haifeng Hu, Yemin Diao:
Transfer learning with molecular graph convolutional networks for accurate modeling and representation of bioactivities of ligands targeting GPCRs without sufficient data. Comput. Biol. Chem. 98: 107664 (2022) - [j33]Jiansheng Wu, Weimin Xu, Jiarong Xia:
Load Balancing Cloud Storage Data Distribution Strategy of Internet of Things Terminal Nodes considering Access Cost. Comput. Intell. Neurosci. 2022: 7849726:1-7849726:11 (2022) - [j32]Jiansheng Wu, Chuangchuang Lan, Xuelin Ye, Jiale Deng, Wanqing Huang, Xueni Yang, Yanxiang Zhu, Haifeng Hu:
Disclosing incoherent sparse and low-rank patterns inside homologous GPCR tasks for better modelling of ligand bioactivities. Frontiers Comput. Sci. 16(4): 164322 (2022) - [j31]Haifeng Hu, Yan Yang, Yueming Yin, Jiansheng Wu:
Metric learning for domain adversarial network. Frontiers Comput. Sci. 16(5): 165341 (2022) - [j30]Xuechen Li, Yuhang Luo, Jiansheng Wu:
Decoupling Relationship between Urbanization and Carbon Sequestration in the Pearl River Delta from 2000 to 2020. Remote. Sens. 14(3): 526 (2022) - [j29]Han Wang, Bingxin Li, Tengyun Yi, Jiansheng Wu:
Heterogeneous Urban Thermal Contribution of Functional Construction Land Zones: A Case Study in Shenzhen, China. Remote. Sens. 14(8): 1851 (2022) - [j28]Xi Tan, Yun Qian, Han Wang, Jiayi Fu, Jiansheng Wu:
Analysis of the Spatial and Temporal Patterns of Ground-Level Ozone Concentrations in the Guangdong-Hong Kong-Macao Greater Bay Area and the Contribution of Influencing Factors. Remote. Sens. 14(22): 5796 (2022) - [j27]Shuai Wang, Yanni Zou, Weidong Min, Jiansheng Wu, Xin Xiong:
Multi-view face generation via unpaired images. Vis. Comput. 38(7): 2539-2554 (2022) - 2021
- [j26]Jiansheng Wu, Yun Qian, Yuan Wang, Na Wang:
Analyzing the Contribution of Human Mobility to Changes in Air Pollutants: Insights from the COVID-19 Lockdown in Wuhan. ISPRS Int. J. Geo Inf. 10(12): 836 (2021) - [j25]Yueming Yin, Haifeng Hu, Zhen Yang, Huajian Xu, Jiansheng Wu:
RealVS: Toward Enhancing the Precision of Top Hits in Ligand-Based Virtual Screening of Drug Leads from Large Compound Databases. J. Chem. Inf. Model. 61(10): 4924-4939 (2021) - [j24]Yun Qian, Han Wang, Jiansheng Wu:
Protecting Existing Urban Green Space versus Cultivating More Green Infrastructures: Strategies Choices to Alleviate Urban Waterlogging Risks in Shenzhen. Remote. Sens. 13(21): 4433 (2021) - [j23]Shaoxun Yuan, Haitao Li, Jiansheng Wu, Xiao Sun:
Classification of Mild Cognitive Impairment With Multimodal Data Using Both Labeled and Unlabeled Samples. IEEE ACM Trans. Comput. Biol. Bioinform. 18(6): 2281-2290 (2021) - 2020
- [j22]Jiansheng Wu, Yi Sun, Wallace K. B. Chan, Yanxiang Zhu, Wenyong Zhu, Wanqing Huang, Haifeng Hu, Shancheng Yan, Tao Pang, Xiaoyan Ke, Fei Li:
Homologous G Protein-Coupled Receptors Boost the Modeling and Interpretation of Bioactivities of Ligand Molecules. J. Chem. Inf. Model. 60(3): 1865-1875 (2020)
2010 – 2019
- 2019
- [j21]Haifeng Hu, Zhikai Cui, Jiansheng Wu, Kun Wang:
Metric Learning-Based Multi-Instance Multi-Label Classification With Label Correlation. IEEE Access 7: 109899-109909 (2019) - [j20]Jiansheng Wu, Ben Liu, Wallace K. B. Chan, Weijian Wu, Tao Pang, Haifeng Hu, Shancheng Yan, Xiaoyan Ke, Yang Zhang:
Precise modelling and interpretation of bioactivities of ligands targeting G protein-coupled receptors. Bioinform. 35(14): i324-i332 (2019) - [j19]Jian Peng, Shiquan Zhao, Jianquan Dong, Yanxu Liu, Jeroen Meersmans, Huilei Li, Jiansheng Wu:
Applying ant colony algorithm to identify ecological security patterns in megacities. Environ. Model. Softw. 117: 214-222 (2019) - [j18]Fei Yao, Jiansheng Wu, Weifeng Li, Jian Peng:
Estimating Daily PM2.5 Concentrations in Beijing Using 750-M VIIRS IP AOD Retrievals and a Nested Spatiotemporal Statistical Model. Remote. Sens. 11(7): 841 (2019) - [j17]Jiansheng Wu, Jingtian Liang, Liguo Zhou, Fei Yao, Jian Peng:
Impacts of AOD Correction and Spatial Scale on the Correlation between High-Resolution AOD from Gaofen-1 Satellite and In Situ PM2.5 Measurements in Shenzhen City, China. Remote. Sens. 11(19): 2223 (2019) - [j16]Haifeng Hu, Kun Wang, Chenggang Lv, Jiansheng Wu, Zhen Yang:
Semi-Supervised Metric Learning-Based Anchor Graph Hashing for Large-Scale Image Retrieval. IEEE Trans. Image Process. 28(2): 739-754 (2019) - [c35]Jinlu Sun, Hongqiang Fang, Jiansheng Wu, Ting Sun, Xingchuan Liu:
Application of Bayesian Belief Networks for Smart City Fire Risk Assessment Using History Statistics and Sensor Data. ICDS 2019: 3-11 - [c34]Liping Lian, Jiansheng Wu, Tinghui Qin, Jinhui Hu, Chenyang Yan:
Measurement Methodology for Empirical Study on Pedestrian Flow. ICDS 2019: 58-66 - 2018
- [j15]Jiansheng Wu, Qiuming Zhang, Weijian Wu, Tao Pang, Haifeng Hu, Wallace K. B. Chan, Xiaoyan Ke, Yang Zhang:
WDL-RF: predicting bioactivities of ligand molecules acting with G protein-coupled receptors by combining weighted deep learning and random forest. Bioinform. 34(13): 2271-2282 (2018) - [c33]Haifeng Hu, Xiangfeng Xu, Jiansheng Wu:
Distance metric learning for semantic segmentation based graph hashing. ICACI 2018: 109-115 - [c32]Jiansheng Wu:
Co-evolution Algorithm for Parameter Optimization of RBF Neural Networks for Rainfall-Runoff Forecasting. ICIC (1) 2018: 195-206 - 2017
- [j14]Haifeng Hu, Jiefang He, Jiansheng Wu, Kun Wang, Wei Zhuang:
Distributed high-dimensional similarity search approach for large-scale wireless sensor networks. Int. J. Distributed Sens. Networks 13(3) (2017) - [j13]Zheng Wang, Fei Yao, Weifeng Li, Jiansheng Wu:
Saturation Correction for Nighttime Lights Data Based on the Relative NDVI. Remote. Sens. 9(7): 759 (2017) - [j12]Yi'na Hu, Jian Peng, Yanxu Liu, Yueyue Du, Huilei Li, Jiansheng Wu:
Mapping Development Pattern in Beijing-Tianjin-Hebei Urban Agglomeration Using DMSP/OLS Nighttime Light Data. Remote. Sens. 9(7): 760 (2017) - [j11]Xiwen Zhang, Jiansheng Wu, Jian Peng, Qiwen Cao:
The Uncertainty of Nighttime Light Data in Estimating Carbon Dioxide Emissions in China: A Comparison between DMSP-OLS and NPP-VIIRS. Remote. Sens. 9(8): 797 (2017) - [c31]Jiansheng Wu:
A Novel HPSOSA for Kernel Function Type and Parameter Optimization of SVR in Rainfall Forecasting. ICSI (2) 2017: 359-370 - 2016
- [j10]Jiansheng Wu:
Hybrid Optimization Algorithm to Combine Neural Network for Rainfall-Runoff Modeling. Int. J. Comput. Intell. Appl. 15(3): 1650015:1-1650015:19 (2016) - [c30]Haifeng Hu, Li Zhu, Jiansheng Wu:
Anchor graph hashing with semantically consistent graph. WCSP 2016: 1-5 - 2015
- [j9]Jiansheng Wu, Long Jin, Mingzhe Liu:
Evolving RBF neural networks for rainfall prediction using hybrid particle swarm optimization and genetic algorithm. Neurocomputing 148: 136-142 (2015) - [c29]Haifeng Hu, Liang Zhang, Jiansheng Wu:
Hamming distance based approximate similarity text search algorithm. ICACI 2015: 1-6 - [c28]Jiansheng Wu, Chengdong Wei:
Training Artificial Neural Network Using Hybrid Optimization Algorithm for Rainfall-Runoff Forecasting. ICIC (1) 2015: 576-586 - [c27]Haifeng Hu, Yong Sun, Jiansheng Wu:
Fast Multi-label Learning via Hashing. KSEM 2015: 535-546 - [c26]Haifeng Hu, Jiefang He, Jiansheng Wu:
Distributed Processing of Approximate Range Queries in Wireless Sensor Networks. PAAP 2015: 45-51 - 2014
- [j8]Lin Ma, Jiansheng Wu, Weifeng Li, Jian Peng, Hao Liu:
Evaluating Saturation Correction Methods for DMSP/OLS Nighttime Light Data: A Case Study from China's Cities. Remote. Sens. 6(10): 9853-9872 (2014) - [j7]Jiansheng Wu, Lin Ma, Weifeng Li, Jian Peng, Hao Liu:
Dynamics of Urban Density in China: Estimations Based on DMSP/OLS Nighttime Light Data. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 7(10): 4266-4275 (2014) - [c25]Tao Zhang, Jiansheng Wu, Haifeng Hu:
Text classification based on a novel ensemble multi-label learning method. ICSAI 2014: 964-968 - 2013
- [j6]Xin Ma, Jiansheng Wu, Xiaoyun Xue:
Identification of DNA-Binding Proteins Using Support Vector Machine with Sequence Information. Comput. Math. Methods Medicine 2013: 524502:1-524502:8 (2013) - [j5]Changming Zhu, Jiansheng Wu:
Hybrid of Genetic Algorithm and Simulated Annealing for Support Vector Regression Optimization in Rainfall Forecasting. Int. J. Comput. Intell. Appl. 12(2) (2013) - [c24]Linli Jiang, Jiansheng Wu:
Hybrid PSO and GA for Neural Network Evolutionary in Monthly Rainfall Forecasting. ACIIDS (1) 2013: 79-88 - [c23]Jiansheng Wu, Wei Han, Dong Hu, Xin Xu, Shancheng Yan, Lihua Tang:
Recognition of microRNA-binding sites in proteins from sequences using Laplacian Support Vector Machines with a hybrid feature. BMEI 2013: 477-483 - [c22]Linli Jiang, Jiansheng Wu:
Hybird Evolutionary Algorithms for Artificial Neural Network Training in Rainfall Forecasting. ISNN (2) 2013: 359-366 - 2012
- [c21]Jiansheng Wu:
Prediction of Rainfall Time Series Using Modular RBF Neural Network Model Coupled with SSA and PLS. ACIIDS (2) 2012: 509-518 - [c20]Lingzhi Wang, Jiansheng Wu:
Application of Hybrid RBF Neural Network Ensemble Model Based on Wavelet Support Vector Machine Regression in Rainfall Time Series Forecasting. CSO 2012: 867-871 - [c19]Jiansheng Wu, Zusong Lu, Long Jin:
A novel hybrid genetic algorithm and Simulated Annealing for feature selection and kernel optimization in support vector regression. IRI 2012: 401-406 - [c18]Hong Ding, Jiansheng Wu, Xianghui Li:
Evolving Neural Network Using Hybrid Genetic Algorithm and Simulated Annealing for Rainfall-Runoff Forecasting. ICSI (1) 2012: 444-451 - 2011
- [j4]Yang Yi, Jiansheng Wu, Wei Xu:
Incremental SVM based on reserved set for network intrusion detection. Expert Syst. Appl. 38(6): 7698-7707 (2011) - [j3]Jiansheng Wu:
An Effective Hybrid Semi-Parametric Regression Strategy for Rainfall Forecasting Combining Linear and Nonlinear Regression. Int. J. Appl. Evol. Comput. 2(4): 50-65 (2011) - [c17]Lingzhi Wang, Jiansheng Wu:
Neural Network Ensemble Model Using PPR and LS-SVR for Stock Market Forecasting. ICIC (1) 2011: 1-8 - [c16]Chun Meng, Jiansheng Wu:
A Novel Nonlinear Neural Network Ensemble Model Using K-PLSR for Rainfall Forecasting. ICIC (3) 2011: 41-48 - 2010
- [j2]Jiansheng Wu, Mingzhe Liu, Long Jin:
A Hybrid Support Vector Regression Approach for Rainfall Forecasting Using Particle Swarm Optimization and Projection Pursuit Technology. Int. J. Comput. Intell. Appl. 9(2): 87-104 (2010) - [c15]Jiansheng Wu:
A Semiparametric Regression Ensemble Model for Rainfall Forecasting Based on RBF Neural Network. AICI (2) 2010: 284-292 - [c14]Jiansheng Wu, Enhong Chen:
A Novel Hybrid Particle Swarm Optimization for Feature Selection and Kernel Optimization in Support Vector Regression. CIS 2010: 189-194 - [c13]Fangqiong Luo, Chunmei Wu, Jiansheng Wu:
A novel Neural Network Ensemble model based on sample reconstruction and Projection Pursuit for rainfall forecasting. ICNC 2010: 32-35
2000 – 2009
- 2009
- [j1]Jiansheng Wu, Hongde Liu, Xueye Duan, Yan Ding, Hongtao Wu, Yunfei Bai, Xiao Sun:
Prediction of DNA-binding residues in proteins from amino acid sequences using a random forest model with a hybrid feature. Bioinform. 25(1): 30-35 (2009) - [c12]Jiansheng Wu, Jie Zhou, Yuelin Gao:
Support Vector Regression Based on Particle Swarm Optimization and Projection Pursuit Technology for Rainfall Forecasting. CIS (1) 2009: 227-233 - [c11]Jiansheng Wu:
A Novel Artificial Neural Network Ensemble Model Based on K--Nearest Neighbor Nonparametric Estimation of Regression Function and Its Application for Rainfall Forecasting. CSO (2) 2009: 44-48 - [c10]Xiaoming Pan, Jiansheng Wu:
Bayesian Neural Network Ensemble Model Based on Partial Least Squares Regression and Its Application in Rainfall Forecasting. CSO (2) 2009: 49-52 - [c9]Xin Ma, Jiansheng Wu, Hongde Liu, Xinan Yang, Jianming Xie, Xiao Sun:
SVM-Based Approach for Predicting DNA-Binding Residues in Proteins from Amino Acid Sequences. IJCBS 2009: 225-229 - [c8]Jiansheng Wu, Enhong Chen:
A Novel Nonparametric Regression Ensemble for Rainfall Forecasting Using Particle Swarm Optimization Technique Coupled with Artificial Neural Network. ISNN (3) 2009: 49-58 - [c7]Chunmei Wu, Jiansheng Wu:
An Effective Hybrid GA-PP Strategy for Artificial Neural Network Ensemble and Its Application Stock Market Forecasting. ISNN (2) 2009: 470-479 - 2008
- [c6]Jiansheng Wu:
A Novel Nonlinear Ensemble Rainfall Forecasting Model Incorporating Linear and Nonlinear Regression. ICNC (3) 2008: 34-38 - [c5]Jiansheng Wu, Tao Deng:
Research in Anti-Spam Method Based on Bayesian Filtering. PACIIA (2) 2008: 887-891 - 2007
- [c4]Jiansheng Wu, Hongtao Wu, Hongde Liu, Haoyan Zhou, Xiao Sun:
Support Vector Machine for Prediction of DNA-Binding Domains in Protein-DNA Complexes. LSMS (2) 2007: 180-187 - 2006
- [c3]Jiansheng Wu, Long Jin, Mingzhe Liu:
Modeling Meteorological Prediction Using Particle Swarm Optimization and Neural Network Ensemble. ISNN (2) 2006: 1202-1209 - 2005
- [c2]Jiansheng Wu, Mingzhe Liu:
Improving generalization performance of artificial neural networks with genetic algorithms. GrC 2005: 288-291 - [c1]Mingzhe Liu, Ruili Wang, Jiansheng Wu, Ray H. Kemp:
A Genetic-Algorithm-Based Neural Network Approach for Short-Term Traffic Flow Forecasting. ISNN (3) 2005: 965-970
Coauthor Index
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