Dianhong Wang

According to our database, Dianhong Wang authored at least 58 papers between 2007 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Using differential evolution for an attribute-weighted inverted specific-class distance measure for nominal attributes.

Fang Gong, Xingfeng Guo, Dianhong Wang

Data Min. Knowl. Discov., 2023

2022

Extreme Gradient Boosting for Surface Electromyography Classification on Time-Domain Features.

Juan Zhao, Jinhua She, Dianhong Wang, Feng Wang

J. Adv. Comput. Intell. Intell. Informatics, 2022

Multi-connection BP Decoding for Polar Codes.

Liuchang Yang, Dianhong Wang, Zhongxiu Feng, Yangyang Liu, Lixia Xiao

Proceedings of the 14th International Conference on Wireless Communications and Signal Processing, 2022

2021

Fine-grained attribute weighted inverted specific-class distance measure for nominal attributes.

Fang Gong, Xin Wang, Liangxiao Jiang, Seyyed Mohammadreza Rahimi, Dianhong Wang

Inf. Sci., 2021

2020

A unified saliency detection framework for visible and infrared images.

Xufan Zhang, Yong Wang, Jun Yan, Zhenxing Chen, Dianhong Wang

Multim. Tools Appl., 2020

Saliency detection via image sparse representation and color features combination.

Xufan Zhang, Yong Wang, Zhenxing Chen, Jun Yan, Dianhong Wang

Multim. Tools Appl., 2020

Gain ratio weighted inverted specific-class distance measure for nominal attributes.

Fang Gong, Liangxiao Jiang, Huan Zhang, Dianhong Wang, Xingfeng Guo

Int. J. Mach. Learn. Cybern., 2020

Averaged one-dependence inverted specific-class distance measure for nominal attributes.

Fang Gong, Liangxiao Jiang, Dianhong Wang, Xingfeng Guo

J. Exp. Theor. Artif. Intell., 2020

Muscle Fatigue Analysis With Optimized Complementary Ensemble Empirical Mode Decomposition and Multi-Scale Envelope Spectral Entropy.

Juan Zhao, Jinhua She, Edwardo F. Fukushima, Dianhong Wang, Min Wu, Katherine Pan

Frontiers Neurorobotics, 2020

2019

CBN-VAE: A Data Compression Model with Efficient Convolutional Structure for Wireless Sensor Networks.

Jianlin Liu, Fenxiong Chen, Jun Yan, Dianhong Wang

Sensors, 2019

Class-specific attribute weighted naive Bayes.

Liangxiao Jiang, Lungan Zhang, Liangjun Yu, Dianhong Wang

Pattern Recognit., 2019

Toward naive Bayes with attribute value weighting.

Liangjun Yu, Liangxiao Jiang, Dianhong Wang, Lungan Zhang

Neural Comput. Appl., 2019

Design of a New Lower-Limb Rehabilitation Machine with Independently Controlled Pedals.

Juan Zhao, Jinhua She, Dianhong Wang, Min Wu, Edwardo F. Fukushima, Hiroshi Hashimoto

Proceedings of the 28th IEEE International Symposium on Industrial Electronics, 2019

Optimal Economic Operation of Microgrid Considering Lifetime Characteristics for Hybrid Energy Storage System.

Min Ding, Xiaomin Wu, Danyun Li, Weihua Cao, Dianhong Wang, Luefeng Chen

Proceedings of the 12th Asian Control Conference, 2019

2018

A New Probabilistic Multi-Hop Broadcast Protocol for Vehicular Networks.

Xuming Zeng, Ming Yu, Dianhong Wang

IEEE Trans. Veh. Technol., 2018

Data Compression Based on Stacked RBM-AE Model for Wireless Sensor Networks.

Jianlin Liu, Fenxiong Chen, Dianhong Wang

Sensors, 2018

Adaptive image compression based on compressive sensing for video sensor nodes.

Xufan Zhang, Yong Wang, Dianhong Wang, Yamin Li

Multim. Tools Appl., 2018

Multiple RGB-D sensor-based 3-D reconstruction and localization of indoor environment for mini MAV.

Yamin Li, Yong Wang, Dianhong Wang

Comput. Electr. Eng., 2018

Evaluation of Lower-Limb Rehabilitation Based on Muscle Fatigue.

Juan Zhao, Jinhua She, Dianhong Wang, Edwardo F. Fukushima, Min Wu, Hiroshi Hashimoto

Proceedings of the 27th IEEE International Symposium on Industrial Electronics, 2018

Weight Adjusted Naive Bayes.

Liangjun Yu, Liangxiao Jiang, Lungan Zhang, Dianhong Wang

Proceedings of the IEEE 30th International Conference on Tools with Artificial Intelligence, 2018

2017

A Comparative Study of X ray Diffraction Pattern Obtaining Methods for Portable Diffractometer.

Fang Gong, Xiaoyong Ni, Dianhong Wang, Xingfeng Guo

J. Softw., 2017

Implementation of dynamic reconfigurable interpolator for open architecture CNC by using FPGA.

Xiaoyong Ni, Hongjian Zhang, Dianhong Wang, Jian Luo

Int. J. Embed. Syst., 2017

Attribute Value Weighted Average of One-Dependence Estimators.

Liangjun Yu, Liangxiao Jiang, Dianhong Wang, Lungan Zhang

Entropy, 2017

A new probability-based multihop broadcast protocol for vehicular networks.

Xuming Zeng, Dianhong Wang, Ming Yu, Haojun Yang

Proceedings of the 14th IEEE International Conference on Networking, Sensing and Control, 2017

A GA-SVM and D-S evidence theory based method for shunt-fault diagnosis in power systems.

Xiaomin Wu, Dianhong Wang, Weihua Cao, Min Ding

Proceedings of the 11th Asian Control Conference, 2017

2016

A Low Energy Consumption Storage Method for Cloud Video Surveillance Data Based on SLA Classification.

Yonghua Xiong, Chengda Lu, Min Wu, Keyuan Jiang, Dianhong Wang

Mob. Inf. Syst., 2016

2015

Efficient event detection using self-learning threshold for wireless sensor networks.

Yong Wang, Dianhong Wang, Fenxiong Chen, Wu Fang

Wirel. Networks, 2015

Aquatic Debris Detection Using Embedded Camera Sensors.

Yong Wang, Dianhong Wang, Qian Lu, Dapeng Luo, Wu Fang

Sensors, 2015

Compressive Background Modeling for Foreground Extraction.

Yong Wang, Qian Lu, Dianhong Wang, Wei Liu

J. Electr. Comput. Eng., 2015

Energy-Efficient Distributed Target Tracking in Wireless Video Sensor Networks.

Wu Fang, Dianhong Wang, Yong Wang

Int. J. Wirel. Inf. Networks, 2015

An Anomaly Detection Based on Data Fusion Algorithm in Wireless Sensor Networks.

Xingfeng Guo, Dianhong Wang, Fenxiong Chen

Int. J. Distributed Sens. Networks, 2015

Integrating Active Learning with Supervision for Crowdsourcing Generalization.

Zhenyu Shu, Victor S. Sheng, Yang Zhang, Dianhong Wang, Jing Zhang, Heng Chen

Proceedings of the 14th IEEE International Conference on Machine Learning and Applications, 2015

2014

Bayesian Citation-KNN with distance weighting.

Liangxiao Jiang, Zhihua Cai, Dianhong Wang, Harry Zhang

Int. J. Mach. Learn. Cybern., 2014

Collaborative Nodes Strategy for Target Tracking in Two-tier Wireless Multimedia Sensor Networks.

Fang Wu, Dianhong Wang, Yong Wang

J. Networks, 2014

Road Geometric Features Extraction based on Self-Organizing Map (SOM) Neural Network.

Zhenyu Shu, Dianhong Wang, Cheng Zhou

J. Networks, 2014

Stripe Surface Defect Image Recognition by Supervised Tree ISOMAP and Incremental GRNN.

Shengfeng Gan, Lin Sun, Dianhong Wang

J. Multim., 2014

Abnormal Behavior Detection Using Trajectory Analysis in Camera Sensor Networks.

Yong Wang, Dianhong Wang, Fenxiong Chen

Int. J. Distributed Sens. Networks, 2014

Automatic node selection and target tracking in wireless camera sensor networks.

Yong Wang, Dianhong Wang, Wu Fang

Comput. Electr. Eng., 2014

2013

Naive Bayes text classifiers: a locally weighted learning approach.

Liangxiao Jiang, Zhihua Cai, Harry Zhang, Dianhong Wang

J. Exp. Theor. Artif. Intell., 2013

Energy-Efficient Node Selection for Target Tracking in Wireless Sensor Networks.

Yong Wang, Dianhong Wang

Int. J. Distributed Sens. Networks, 2013

2012

Improving Tree augmented Naive Bayes for class probability estimation.

Liangxiao Jiang, Zhihua Cai, Dianhong Wang, Harry Zhang

Knowl. Based Syst., 2012

Weighted average of one-dependence estimators†.

Liangxiao Jiang, Harry Zhang, Zhihua Cai, Dianhong Wang

J. Exp. Theor. Artif. Intell., 2012

Rough Set Approach to Multivariate Decision Trees Inducing.

Dianhong Wang, Xingwen Liu, Liangxiao Jiang, Xiaoting Zhang, Yongguang Zhao

J. Comput., 2012

Discriminatively Weighted Naive Bayes and its Application in Text Classification.

Liangxiao Jiang, Dianhong Wang, Zhihua Cai

Int. J. Artif. Intell. Tools, 2012

Not so greedy: Randomly Selected Naive Bayes.

Liangxiao Jiang, Zhihua Cai, Harry Zhang, Dianhong Wang

Expert Syst. Appl., 2012

2011

A novel method for inducing ID3 decision trees based on variable precision rough set.

Xingwen Liu, Dianhong Wang, Liangxiao Jiang, Fenxiong Chen, Shengfeng Gan

Proceedings of the Seventh International Conference on Natural Computation, 2011

Multifocus image fusion scheme based on nonsubsampled contourlet transform.

Xinxing Zhou, Dianhong Wang, Zhijuan Duan, Dongming Li

Proceedings of the Third International Conference on Digital Image Processing, 2011

2008

Using Instance cloning to Improve Naive Bayes for Ranking.

Liangxiao Jiang, Dianhong Wang, Harry Zhang, Zhihua Cai, Bo Huang

Int. J. Pattern Recognit. Artif. Intell., 2008

Robust Watermark Algorithm Based on the Wavelet Moment Modulation and Neural Network Detection.

Dianhong Wang, Dongming Li, Jun Yan

Proceedings of the Advances in Neural Networks, 2008

Design of Small Reconfigurable Embedded Numerical Control System.

Dianhong Wang, Xiaoyong Ni

Proceedings of the International Conference on Embedded Software and Systems, 2008

Soil Moisture Prediction with Feature Selection Using a Neural Network.

Junlei Song, Dianhong Wang, Nianjun Liu, Li Cheng, Lan Du, Ke Zhang

Proceedings of the International Conference on Digital Image Computing: Techniques and Applications, 2008

Color Segmentation and Part Model Matching for Non-rigid Objects Tracking.

Yong Wang, Dianhong Wang, Wu Fang

Proceedings of the International Conference on Computer Science and Software Engineering, 2008

2007

Scaling Up the Accuracy of Bayesian Network Classifiers by M-Estimate.

Liangxiao Jiang, Dianhong Wang, Zhihua Cai

Proceedings of the Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence, 2007

K-Distributions: A New Algorithm for Clustering Categorical Data.

Zhihua Cai, Dianhong Wang, Liangxiao Jiang

Proceedings of the Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence, 2007

An Improved Attribute Selection Measure for Decision Tree Induction.

Dianhong Wang, Liangxiao Jiang

Proceedings of the Fourth International Conference on Fuzzy Systems and Knowledge Discovery, 2007

Survey of Improving K-Nearest-Neighbor for Classification.

Liangxiao Jiang, Zhihua Cai, Dianhong Wang, Siwei Jiang

Proceedings of the Fourth International Conference on Fuzzy Systems and Knowledge Discovery, 2007

Learning Locally Weighted C4.4 for Class Probability Estimation.

Liangxiao Jiang, Harry Zhang, Dianhong Wang, Zhihua Cai

Proceedings of the Discovery Science, 10th International Conference, 2007

Survey of Improving Naive Bayes for Classification.

Liangxiao Jiang, Dianhong Wang, Zhihua Cai, Xuesong Yan

Proceedings of the Advanced Data Mining and Applications, Third International Conference, 2007