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Dianhong Wang
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2020 – today
- 2023
- [j38]Fang Gong, Xingfeng Guo, Dianhong Wang:
Using differential evolution for an attribute-weighted inverted specific-class distance measure for nominal attributes. Data Min. Knowl. Discov. 37(1): 409-433 (2023) - 2022
- [j37]Juan Zhao, Jinhua She, Dianhong Wang, Feng Wang:
Extreme Gradient Boosting for Surface Electromyography Classification on Time-Domain Features. J. Adv. Comput. Intell. Intell. Informatics 26(5): 722-730 (2022) - [c20]Liuchang Yang, Dianhong Wang, Zhongxiu Feng, Yangyang Liu, Lixia Xiao:
Multi-connection BP Decoding for Polar Codes. WCSP 2022: 287-291 - 2021
- [j36]Fang Gong, Xin Wang, Liangxiao Jiang, Seyyed Mohammadreza Rahimi, Dianhong Wang:
Fine-grained attribute weighted inverted specific-class distance measure for nominal attributes. Inf. Sci. 578: 848-869 (2021) - 2020
- [j35]Juan Zhao, Jinhua She, Edwardo F. Fukushima, Dianhong Wang, Min Wu, Katherine Pan:
Muscle Fatigue Analysis With Optimized Complementary Ensemble Empirical Mode Decomposition and Multi-Scale Envelope Spectral Entropy. Frontiers Neurorobotics 14: 566172 (2020) - [j34]Fang Gong, Liangxiao Jiang, Dianhong Wang, Xingfeng Guo:
Averaged one-dependence inverted specific-class distance measure for nominal attributes. J. Exp. Theor. Artif. Intell. 32(4): 651-663 (2020) - [j33]Fang Gong, Liangxiao Jiang, Huan Zhang, Dianhong Wang, Xingfeng Guo:
Gain ratio weighted inverted specific-class distance measure for nominal attributes. Int. J. Mach. Learn. Cybern. 11(10): 2237-2246 (2020) - [j32]Xufan Zhang, Yong Wang, Jun Yan, Zhenxing Chen, Dianhong Wang:
A unified saliency detection framework for visible and infrared images. Multim. Tools Appl. 79(25-26): 17331-17348 (2020) - [j31]Xufan Zhang, Yong Wang, Zhenxing Chen, Jun Yan, Dianhong Wang:
Saliency detection via image sparse representation and color features combination. Multim. Tools Appl. 79(31-32): 23147-23159 (2020)
2010 – 2019
- 2019
- [j30]Liangjun Yu, Liangxiao Jiang, Dianhong Wang, Lungan Zhang:
Toward naive Bayes with attribute value weighting. Neural Comput. Appl. 31(10): 5699-5713 (2019) - [j29]Liangxiao Jiang, Lungan Zhang, Liangjun Yu, Dianhong Wang:
Class-specific attribute weighted naive Bayes. Pattern Recognit. 88: 321-330 (2019) - [j28]Jianlin Liu, Fenxiong Chen, Jun Yan, Dianhong Wang:
CBN-VAE: A Data Compression Model with Efficient Convolutional Structure for Wireless Sensor Networks. Sensors 19(16): 3445 (2019) - [c19]Min Ding, Xiaomin Wu, Danyun Li, Weihua Cao, Dianhong Wang, Luefeng Chen:
Optimal Economic Operation of Microgrid Considering Lifetime Characteristics for Hybrid Energy Storage System. ASCC 2019: 585-590 - [c18]Juan Zhao, Jinhua She, Dianhong Wang, Min Wu, Edwardo F. Fukushima, Hiroshi Hashimoto:
Design of a New Lower-Limb Rehabilitation Machine with Independently Controlled Pedals. ISIE 2019: 1150-1155 - 2018
- [j27]Yamin Li, Yong Wang, Dianhong Wang:
Multiple RGB-D sensor-based 3-D reconstruction and localization of indoor environment for mini MAV. Comput. Electr. Eng. 70: 509-524 (2018) - [j26]Xufan Zhang, Yong Wang, Dianhong Wang, Yamin Li:
Adaptive image compression based on compressive sensing for video sensor nodes. Multim. Tools Appl. 77(11): 13679-13699 (2018) - [j25]Jianlin Liu, Fenxiong Chen, Dianhong Wang:
Data Compression Based on Stacked RBM-AE Model for Wireless Sensor Networks. Sensors 18(12): 4273 (2018) - [j24]Xuming Zeng, Ming Yu, Dianhong Wang:
A New Probabilistic Multi-Hop Broadcast Protocol for Vehicular Networks. IEEE Trans. Veh. Technol. 67(12): 12165-12176 (2018) - [c17]Liangjun Yu, Liangxiao Jiang, Lungan Zhang, Dianhong Wang:
Weight Adjusted Naive Bayes. ICTAI 2018: 825-831 - [c16]Juan Zhao, Jinhua She, Dianhong Wang, Edwardo F. Fukushima, Min Wu, Hiroshi Hashimoto:
Evaluation of Lower-Limb Rehabilitation Based on Muscle Fatigue. ISIE 2018: 1106-1111 - 2017
- [j23]Liangjun Yu, Liangxiao Jiang, Dianhong Wang, Lungan Zhang:
Attribute Value Weighted Average of One-Dependence Estimators. Entropy 19(9): 501 (2017) - [j22]Xiaoyong Ni, Hongjian Zhang, Dianhong Wang, Jian Luo:
Implementation of dynamic reconfigurable interpolator for open architecture CNC by using FPGA. Int. J. Embed. Syst. 9(1): 45-53 (2017) - [j21]Fang Gong, Xiaoyong Ni, Dianhong Wang, Xingfeng Guo:
A Comparative Study of X ray Diffraction Pattern Obtaining Methods for Portable Diffractometer. J. Softw. 12(12): 914-922 (2017) - [c15]Xiaomin Wu, Dianhong Wang, Weihua Cao, Min Ding:
A GA-SVM and D-S evidence theory based method for shunt-fault diagnosis in power systems. ASCC 2017: 2704-2709 - [c14]Xuming Zeng, Dianhong Wang, Ming Yu, Haojun Yang:
A new probability-based multihop broadcast protocol for vehicular networks. ICNSC 2017: 287-292 - 2016
- [j20]Yonghua Xiong, Chengda Lu, Min Wu, Keyuan Jiang, Dianhong Wang:
A Low Energy Consumption Storage Method for Cloud Video Surveillance Data Based on SLA Classification. Mob. Inf. Syst. 2016: 6270738:1-6270738:13 (2016) - 2015
- [j19]Xingfeng Guo, Dianhong Wang, Fenxiong Chen:
An Anomaly Detection Based on Data Fusion Algorithm in Wireless Sensor Networks. Int. J. Distributed Sens. Networks 11: 943532:1-943532:10 (2015) - [j18]Wu Fang, Dianhong Wang, Yong Wang:
Energy-Efficient Distributed Target Tracking in Wireless Video Sensor Networks. Int. J. Wirel. Inf. Networks 22(2): 105-115 (2015) - [j17]Yong Wang, Qian Lu, Dianhong Wang, Wei Liu:
Compressive Background Modeling for Foreground Extraction. J. Electr. Comput. Eng. 2015: 295428:1-295428:8 (2015) - [j16]Yong Wang, Dianhong Wang, Qian Lu, Dapeng Luo, Wu Fang:
Aquatic Debris Detection Using Embedded Camera Sensors. Sensors 15(2): 3116-3137 (2015) - [j15]Yong Wang, Dianhong Wang, Fenxiong Chen, Wu Fang:
Efficient event detection using self-learning threshold for wireless sensor networks. Wirel. Networks 21(6): 1783-1799 (2015) - [c13]Zhenyu Shu, Victor S. Sheng, Yang Zhang, Dianhong Wang, Jing Zhang, Heng Chen:
Integrating Active Learning with Supervision for Crowdsourcing Generalization. ICMLA 2015: 232-237 - 2014
- [j14]Yong Wang, Dianhong Wang, Wu Fang:
Automatic node selection and target tracking in wireless camera sensor networks. Comput. Electr. Eng. 40(2): 484-493 (2014) - [j13]Yong Wang, Dianhong Wang, Fenxiong Chen:
Abnormal Behavior Detection Using Trajectory Analysis in Camera Sensor Networks. Int. J. Distributed Sens. Networks 10 (2014) - [j12]Shengfeng Gan, Lin Sun, Dianhong Wang:
Stripe Surface Defect Image Recognition by Supervised Tree ISOMAP and Incremental GRNN. J. Multim. 9(1): 51-58 (2014) - [j11]Zhenyu Shu, Dianhong Wang, Cheng Zhou:
Road Geometric Features Extraction based on Self-Organizing Map (SOM) Neural Network. J. Networks 9(1): 190-197 (2014) - [j10]Fang Wu, Dianhong Wang, Yong Wang:
Collaborative Nodes Strategy for Target Tracking in Two-tier Wireless Multimedia Sensor Networks. J. Networks 9(7): 1803-1810 (2014) - [j9]Liangxiao Jiang, Zhihua Cai, Dianhong Wang, Harry Zhang:
Bayesian Citation-KNN with distance weighting. Int. J. Mach. Learn. Cybern. 5(2): 193-199 (2014) - 2013
- [j8]Yong Wang, Dianhong Wang:
Energy-Efficient Node Selection for Target Tracking in Wireless Sensor Networks. Int. J. Distributed Sens. Networks 9 (2013) - [j7]Liangxiao Jiang, Zhihua Cai, Harry Zhang, Dianhong Wang:
Naive Bayes text classifiers: a locally weighted learning approach. J. Exp. Theor. Artif. Intell. 25(2): 273-286 (2013) - 2012
- [j6]Liangxiao Jiang, Zhihua Cai, Harry Zhang, Dianhong Wang:
Not so greedy: Randomly Selected Naive Bayes. Expert Syst. Appl. 39(12): 11022-11028 (2012) - [j5]Liangxiao Jiang, Dianhong Wang, Zhihua Cai:
Discriminatively Weighted Naive Bayes and its Application in Text Classification. Int. J. Artif. Intell. Tools 21(1) (2012) - [j4]Dianhong Wang, Xingwen Liu, Liangxiao Jiang, Xiaoting Zhang, Yongguang Zhao:
Rough Set Approach to Multivariate Decision Trees Inducing. J. Comput. 7(4): 870-879 (2012) - [j3]Liangxiao Jiang, Harry Zhang, Zhihua Cai, Dianhong Wang:
Weighted average of one-dependence estimators†. J. Exp. Theor. Artif. Intell. 24(2): 219-230 (2012) - [j2]Liangxiao Jiang, Zhihua Cai, Dianhong Wang, Harry Zhang:
Improving Tree augmented Naive Bayes for class probability estimation. Knowl. Based Syst. 26: 239-245 (2012) - 2011
- [c12]Xinxing Zhou, Dianhong Wang, Zhijuan Duan, Dongming Li:
Multifocus image fusion scheme based on nonsubsampled contourlet transform. ICDIP 2011: 800904 - [c11]Xingwen Liu, Dianhong Wang, Liangxiao Jiang, Fenxiong Chen, Shengfeng Gan:
A novel method for inducing ID3 decision trees based on variable precision rough set. ICNC 2011: 494-497
2000 – 2009
- 2008
- [j1]Liangxiao Jiang, Dianhong Wang, Harry Zhang, Zhihua Cai, Bo Huang:
Using Instance cloning to Improve Naive Bayes for Ranking. Int. J. Pattern Recognit. Artif. Intell. 22(6): 1121-1140 (2008) - [c10]Yong Wang, Dianhong Wang, Wu Fang:
Color Segmentation and Part Model Matching for Non-rigid Objects Tracking. CSSE (1) 2008: 911-914 - [c9]Junlei Song, Dianhong Wang, Nianjun Liu, Li Cheng, Lan Du, Ke Zhang:
Soil Moisture Prediction with Feature Selection Using a Neural Network. DICTA 2008: 130-136 - [c8]Dianhong Wang, Xiaoyong Ni:
Design of Small Reconfigurable Embedded Numerical Control System. ICESS 2008: 415-421 - [c7]Dianhong Wang, Dongming Li, Jun Yan:
Robust Watermark Algorithm Based on the Wavelet Moment Modulation and Neural Network Detection. ISNN (2) 2008: 392-401 - 2007
- [c6]Liangxiao Jiang, Dianhong Wang, Zhihua Cai, Xuesong Yan:
Survey of Improving Naive Bayes for Classification. ADMA 2007: 134-145 - [c5]Liangxiao Jiang, Harry Zhang, Dianhong Wang, Zhihua Cai:
Learning Locally Weighted C4.4 for Class Probability Estimation. Discovery Science 2007: 104-115 - [c4]Dianhong Wang, Liangxiao Jiang:
An Improved Attribute Selection Measure for Decision Tree Induction. FSKD (4) 2007: 654-658 - [c3]Liangxiao Jiang, Zhihua Cai, Dianhong Wang, Siwei Jiang:
Survey of Improving K-Nearest-Neighbor for Classification. FSKD (1) 2007: 679-683 - [c2]Zhihua Cai, Dianhong Wang, Liangxiao Jiang:
K-Distributions: A New Algorithm for Clustering Categorical Data. ICIC (2) 2007: 436-443 - [c1]Liangxiao Jiang, Dianhong Wang, Zhihua Cai:
Scaling Up the Accuracy of Bayesian Network Classifiers by M-Estimate. ICIC (2) 2007: 475-484
Coauthor Index
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