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MBNN: A Multi-Branch Neural Network Capable of Utilizing Industrial Sample Unbalance for Fast Inference 期刊论文
IEEE SENSORS JOURNAL, 2021, 卷号: 21, 期号: 2, 页码: 1809-1819
Authors:  Wang QZ(王其朝);  Wang K(王锴);  Li Q(李庆);  Yang, Zuye;  Jin, Guangshu;  Wang H(王宏)
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Fault diagnosis  Neural networks  Complexity theory  Computational modeling  Sensors  Optimization  Real-time systems  Neural network architecture  fault diagnosis  fast inference  unbalance sample  
基于语音识别的脑瘫康复数字训练系统设计 期刊论文
高技术通讯, 2020, 卷号: 30, 期号: 5, 页码: 526-532
Authors:  卢振利;  王红;  马志鹏;  沈玄霖;  Marko Pencic;  刘燕;  单长考;  葛龙;  李斌;  Marjan Mernik
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语音识别  机器人辅助系统  人机交互(HRI)  脑瘫(CP)康复训练  
改进的Island损失函数在人脸表情识别上的应用 期刊论文
计算机辅助设计与图形学学报, 2020, 卷号: 32, 期号: 12, 页码: 1910-1917
Authors:  张文萍;  贾凯;  王宏玉;  徐方
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人脸表情识别  改进的Island损失函数  指数损失  类内距离  类间距离  
基于数据库存储过程的电力内外网信息交互接口服务系统 专利
专利类型: 发明, 专利号: CN110636096A, 公开日期: 2019-12-31, 授权日期: 2020-12-08
Inventors:  王忠锋;  胡博;  李力刚;  黄剑龙;  张志洋;  关明;  谷万江;  刘君;  金宇坤;  周爱彬;  尹良智;  李增;  刘志刚;  张忠举;  王洪;  贺欢
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基于数据库存储过程的电力内外网信息交互接口服务系统 专利
专利类型: 发明授权, 专利号: CN110636096B, 公开日期: 2019-12-31, 授权日期: 2020-12-08
Inventors:  王忠锋;  胡博;  李力刚;  黄剑龙;  张志洋;  关明;  谷万江;  刘君;  金宇坤;  周爱彬;  尹良智;  李增;  刘志刚;  张忠举;  王洪;  贺欢
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An Improved Human-Object Interaction Detection Network 会议论文
Proceedings of 2019 IEEE 13th International Conference on Anti-Counterfeiting, Security, and Identification, ASID 2019, Xiamen, China, October 25-27, 2019
Authors:  Gao S(高松);  Wang, HY(王宏玉);  Song JL(宋吉来);  Xu F(徐方);  Zou FS(邹风山)
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human-object interaction detection  deep learning  loss function  convolutional neural networks  
基于边界敏感网络的时序行为候选生成算法 期刊论文
科学技术与工程, 2019, 卷号: 19, 期号: 26, 页码: 260-264
Authors:  高松;  王宏玉;  邹风山;  宋吉来
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人体行为检测  时序行为候选  深度学习  卷积神经网络  
Real-time Human Action Detection for Elderly Monitoring System 会议论文
Proceedings of 9th IEEE International Conference on CYBER Technology in Automation, Control, and Intelligent Systems, Suzhou, China, July 29 - August 2, 2019
Authors:  Gao S(高松);  Wang, HY(王宏玉);  Xu F(徐方);  Song JL(宋吉来);  Jia K(贾凯)
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human action detection  elderly monitoring  falling down  modelfine-tuning  convolutional neural networks  
A Deep Face Recognition Method Based on Model Fine-tuning and Principal Component Analysis 会议论文
2017 IEEE 7th Annual International Conference on CYBER Technology in Automation, Control, and Intelligent Systems, CYBER 2017, Hawaii, USA, July 31 - August 4, 2017
Authors:  Zhang YA(张延安);  Wang, HY(王宏玉);  Xu F(徐方);  Jia K(贾凯)
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Face Recognition  Deep Learning  Model Fine-tuning  Principal Component Analysis  Convolutional Neural Networks  
基于深度卷积神经网络与中心损失的人脸识别 期刊论文
科学技术与工程, 2017, 卷号: 17, 期号: 35, 页码: 92-97
Authors:  张延安;  王宏玉;  徐方
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人脸识别  卷积神经网络  深度学习  中心损失  度量学习  主成分分析