Jiansheng Wu

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 42

Top Topics

Unlabeled Samples

Hybrid Optimization Algorithm

Metric Learning

Top Venues

J. Chem. Inf. Model.

Publications

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 (2024)
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 (2024)
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 (2023)
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) (2023)
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) (2023)
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) (2023)
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)
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) (2023)
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)
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)
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)
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 (2022)
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) (2022)
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) (2022)
Haifeng Hu, Yan Yang, Yueming Yin, Jiansheng Wu
Metric learning for domain adversarial network. Frontiers Comput. Sci. 16 (5) (2022)
Shuai Wang, Yanni Zou, Weidong Min, Jiansheng Wu, Xin Xiong
Multi-view face generation via unpaired images. Vis. Comput. 38 (7) (2022)
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 (2022)
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) (2022)
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) (2022)
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) (2021)
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) (2021)
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) (2021)
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) (2021)
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) (2020)
Liping Lian, Jiansheng Wu, Tinghui Qin, Jinhui Hu, Chenyang Yan
Measurement Methodology for Empirical Study on Pedestrian Flow. ICDS (2019)
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 (2019)
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) (2019)
Haifeng Hu, Zhikai Cui, Jiansheng Wu, Kun Wang
Metric Learning-Based Multi-Instance Multi-Label Classification With Label Correlation. IEEE Access 7 (2019)
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)
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) (2019)
Fei Yao, Jiansheng Wu, Weifeng Li, Jian Peng
Concentrations in Beijing Using 750-M VIIRS IP AOD Retrievals and a Nested Spatiotemporal Statistical Model. Remote. Sens. 11 (7) (2019)
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) (2019)
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) (2018)
Haifeng Hu, Xiangfeng Xu, Jiansheng Wu
Distance metric learning for semantic segmentation based graph hashing. ICACI (2018)
Jiansheng Wu
Co-evolution Algorithm for Parameter Optimization of RBF Neural Networks for Rainfall-Runoff Forecasting. ICIC (1) (2018)
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) (2017)
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)
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) (2017)
Zheng Wang, Fei Yao, Weifeng Li, Jiansheng Wu
Saturation Correction for Nighttime Lights Data Based on the Relative NDVI. Remote. Sens. 9 (7) (2017)
Jiansheng Wu
A Novel HPSOSA for Kernel Function Type and Parameter Optimization of SVR in Rainfall Forecasting. ICSI (2) (2017)
Haifeng Hu, Li Zhu, Jiansheng Wu
Anchor graph hashing with semantically consistent graph. WCSP (2016)
Jiansheng Wu
Hybrid Optimization Algorithm to Combine Neural Network for Rainfall-Runoff Modeling. Int. J. Comput. Intell. Appl. 15 (3) (2016)
Haifeng Hu, Yong Sun, Jiansheng Wu
Fast Multi-label Learning via Hashing. KSEM (2015)
Haifeng Hu, Liang Zhang, Jiansheng Wu
Hamming distance based approximate similarity text search algorithm. ICACI (2015)
Jiansheng Wu, Chengdong Wei
Training Artificial Neural Network Using Hybrid Optimization Algorithm for Rainfall-Runoff Forecasting. ICIC (1) (2015)
Haifeng Hu, Jiefang He, Jiansheng Wu
Distributed Processing of Approximate Range Queries in Wireless Sensor Networks. PAAP (2015)
Jiansheng Wu, Long Jin, Mingzhe Liu
Evolving RBF neural networks for rainfall prediction using hybrid particle swarm optimization and genetic algorithm. Neurocomputing 148 (2015)
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) (2014)
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) (2014)
Tao Zhang, Jiansheng Wu, Haifeng Hu
Text classification based on a novel ensemble multi-label learning method. ICSAI (2014)
Linli Jiang, Jiansheng Wu
Hybird Evolutionary Algorithms for Artificial Neural Network Training in Rainfall Forecasting. ISNN (2) (2013)
Xin Ma, Jiansheng Wu, Xiaoyun Xue
Identification of DNA-Binding Proteins Using Support Vector Machine with Sequence Information. Comput. Math. Methods Medicine 2013 (2013)
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)
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)
Linli Jiang, Jiansheng Wu
Hybrid PSO and GA for Neural Network Evolutionary in Monthly Rainfall Forecasting. ACIIDS (1) (2013)
Hong Ding, Jiansheng Wu, Xianghui Li
Evolving Neural Network Using Hybrid Genetic Algorithm and Simulated Annealing for Rainfall-Runoff Forecasting. ICSI (1) (2012)
Jiansheng Wu
Prediction of Rainfall Time Series Using Modular RBF Neural Network Model Coupled with SSA and PLS. ACIIDS (2) (2012)
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)
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)
Chun Meng, Jiansheng Wu
A Novel Nonlinear Neural Network Ensemble Model Using K-PLSR for Rainfall Forecasting. ICIC (3) (2011)
Jiansheng Wu
An Effective Hybrid Semi-Parametric Regression Strategy for Rainfall Forecasting Combining Linear and Nonlinear Regression. Int. J. Appl. Evol. Comput. 2 (4) (2011)
Lingzhi Wang, Jiansheng Wu
Neural Network Ensemble Model Using PPR and LS-SVR for Stock Market Forecasting. ICIC (1) (2011)
Yang Yi, Jiansheng Wu, Wei Xu
Incremental SVM based on reserved set for network intrusion detection. Expert Syst. Appl. 38 (6) (2011)
Fangqiong Luo, Chunmei Wu, Jiansheng Wu
A novel Neural Network Ensemble model based on sample reconstruction and Projection Pursuit for rainfall forecasting. ICNC (2010)
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) (2010)
Jiansheng Wu
A Semiparametric Regression Ensemble Model for Rainfall Forecasting Based on RBF Neural Network. AICI (2) (2010)
Jiansheng Wu, Enhong Chen
A Novel Hybrid Particle Swarm Optimization for Feature Selection and Kernel Optimization in Support Vector Regression. CIS (2010)
Xiaoming Pan, Jiansheng Wu
Bayesian Neural Network Ensemble Model Based on Partial Least Squares Regression and Its Application in Rainfall Forecasting. CSO (2) (2009)
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)
Jiansheng Wu, Jie Zhou, Yuelin Gao
Support Vector Regression Based on Particle Swarm Optimization and Projection Pursuit Technology for Rainfall Forecasting. CIS (1) (2009)
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)
Chunmei Wu, Jiansheng Wu
An Effective Hybrid GA-PP Strategy for Artificial Neural Network Ensemble and Its Application Stock Market Forecasting. ISNN (2) (2009)
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)
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) (2009)
Jiansheng Wu, Tao Deng
Research in Anti-Spam Method Based on Bayesian Filtering. PACIIA (2) (2008)
Jiansheng Wu
A Novel Nonlinear Ensemble Rainfall Forecasting Model Incorporating Linear and Nonlinear Regression. ICNC (3) (2008)
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)
Jiansheng Wu, Long Jin, Mingzhe Liu
Modeling Meteorological Prediction Using Particle Swarm Optimization and Neural Network Ensemble. ISNN (2) (2006)
Jiansheng Wu, Mingzhe Liu
Improving generalization performance of artificial neural networks with genetic algorithms. GrC (2005)
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)