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徐焕良

Professor Supervisor of Doctorate Candidates

School/Department: College of Artificial Intelligence
Education Level:With Certificate of Graduation for Doctorate Study
Degree:Doctoral degree
Professional Title:Professor
Alma Mater:南京航空航天大学机电学院博士毕业

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Paper Publications Home >> Scientific Research >> Paper Publications: Cao YiFei,Xu Huanliang,Song Jin,Yang Yao,Hu Xiaohui,Wiyao Korohou Tchalla,Zhai Zhaoyu.Applying spectral fractal dimension index to predict the SPAD value of rice leaves under bacterial blight disease stress,PLANT METHODS,2022,18(1)(First Author)

Li Yanbin, He Ziming, Gu Xingjian, Xu Huanliang, Ren Shougang.AFedAvg: communication-efficient federated learning aggregation with adaptive communication frequency and gradient sparse,JOURNAL OF EXPERIMENTAL & THEORETICAL ARTIFICIAL INTELLIGENCE,2022,(Participating authors)

Li Yibai,Wang Haoyun,Zhang Yuzhuo,Wang Jingbo,Xu Huanliang.INVERSION OF THE OPTICAL PROPERTIES OF APPLES BASED ON THE CONVOLUTIONAL NEURAL NETWORK AND TRANSFER LEARNING METHODS,APPLIED ENGINEERING IN AGRICULTURE,2022,38(6):931-939(Correspondence Author)

Gu Xingjian,Li Sizhe,Ren Shougang,Zheng Hengbiao,Fan Chengcheng,Xu Huanliang.Adaptive enhanced swin transformer with U-net for remote sensing image segmentation,COMPUTERS & ELECTRICAL ENGINEERING,2022,102(Participating authors)

张思旭,徐焕良,王江波,孙云晓,王浩云.基于光学特性参数反演的苹果水心病检测,南京农业大学学报,2022,(Participating authors)

曹益飞,徐焕良,吴玉强,范加勤,冯佳睿,翟肇裕.基于时序高光谱和多任务学习的水稻病害早期预测研究,农业机械学报,2022,53(2022年11期):288-298(Participating authors)

余洪锋,徐焕良,丁永前,杨紫楠,窦祥林,李庆,关心桐.基于窄带光谱图像分析的小麦冠层植被指数测量方法研究,南京农业大学学报,2022,(Participating authors)

Cao Yifei,Yuan Peisen,Xu Huanliang,Martinez-Ortega Jose Fernan,Feng Jiarui,Zhai Zhaoyu.Detecting Asymptomatic Infections of Rice Bacterial Leaf Blight Using Hyperspectral Imaging and 3-Dimensional Convolutional Neural Network With Spectral Dilated Convolution,FRONTIERS IN PLANT SCIENCE,2022,13(Participating authors)

Li Yanbin,Huang Yuxin,Tang Ming,Ren Shougang,Xu Huanliang.Adaptive Chosen Plaintext Side-Channel Attacks for Higher-Order Masking Schemes,Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics),2021,12938 LNCS:173-185(Participating authors)

袁培森,宋进,徐焕良.基于残差网络和小样本学习的鱼图像识别,农业机械学报,2021,53(2022年02期):282-290(Correspondence Author)

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