Zhanyu Ma

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Dongliang Chang (常东良)Tsinghua UniversityDirección de correo verificada de tsinghua.edu.cn
Jiyang Xie (谢吉洋)Beijing University of Posts and TelecommunicationsDirección de correo verificada de bupt.edu.cn
Yi-Zhe SongSketchX Lab, CVSSP, University of SurreyDirección de correo verificada de surrey.ac.uk
Xiaoxu LiLanzhou University of TechnologyDirección de correo verificada de lut.edu.cn
Ruoyi Du (杜若一)Beijing University of Posts and TelecommunicationsDirección de correo verificada de bupt.edu.cn
Jing-Hao XueProfessor, Department of Statistical Science, University College LondonDirección de correo verificada de ucl.ac.uk
Zheng-Hua TanProfessor of Machine Learning and Speech Processing, Aalborg University and Pioneer Centre for AIDirección de correo verificada de es.aau.dk
Kongming LiangBeijing University of Posts and TelecommunicationsDirección de correo verificada de bupt.edu.cn
Qie SunShandong UniversityDirección de correo verificada de sdu.edu.cn
Jalil TaghiaEricsson ResearchDirección de correo verificada de ericsson.com
Hailong LIMälardalen University (MDU)Dirección de correo verificada de mdu.se
Ruifan LiBeijing University of Posts and TelecommunicationDirección de correo verificada de bupt.edu.cn
Xiaojie WangBeijing University of Posts and TelecommunicationsDirección de correo verificada de bupt.edu.cn
Fangxiang FengBeijing University of Posts and TelecommunicationsDirección de correo verificada de bupt.edu.cn
Jianhua ZhangBeijing University of Posts and Telecommunications, CHINADirección de correo verificada de bupt.edu.cn
Timothy M. HospedalesProfessor, University of Edinburgh; Samsung AI ResearchDirección de correo verificada de ed.ac.uk
Peng Xu (徐鹏)Tsinghua UniversityDirección de correo verificada de tsinghua.edu.cn
W. Bastiaan KleijnDirección de correo verificada de ecs.vuw.ac.nz
Liang WangNational Lab of Pattern RecognitionDirección de correo verificada de nlpr.ia.ac.cn
Jijie WuPhD, Lanzhou University of TechnologyDirección de correo verificada de lut.edu.cn

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Zhanyu Ma

Beijing University of Posts and Telecommunications

Dirección de correo verificada de bupt.edu.cn - Página principal

Pattern Recognition Machine Learning Computer Vision Multimedia Technology Deep Learning


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
A comprehensive review of smart energy meters in intelligent energy networks Q Sun, H Li, Z Ma, C Wang, J Campillo, Q Zhang, F Wallin, J Guo IEEE Internet of Things Journal 3 (4), 464-479, 2015	410	2015
Fine-grained visual classification via progressive multi-granularity training of jigsaw patches R Du, D Chang, AK Bhunia, J Xie, Z Ma, YZ Song, J Guo European Conference on Computer Vision, 153-168, 2020	407	2020
Dual graph convolutional networks for aspect-based sentiment analysis R Li, H Chen, F Feng, Z Ma, X Wang, E Hovy Proceedings of the 59th Annual Meeting of the Association for Computational …, 2021	397	2021
The devil is in the channels: Mutual-channel loss for fine-grained image classification D Chang, Y Ding, J Xie, AK Bhunia, X Li, Z Ma, M Wu, J Guo, YZ Song IEEE Transactions on Image Processing 29, 4683-4695, 2020	385	2020
Knowledge-driven service offloading decision for vehicular edge computing: A deep reinforcement learning approach Q Qi, J Wang, Z Ma, H Sun, Y Cao, L Zhang, J Liao IEEE Transactions on Vehicular Technology 68 (5), 4192-4203, 2019	282	2019
Prediction of short-term PV power output and uncertainty analysis L Liu, Y Zhao, D Chang, J Xie, Z Ma, Q Sun, H Yin, R Wennersten Applied energy 228, 700-711, 2018	273	2018
Bayesian estimation of beta mixture models with variational inference Z Ma, A Leijon IEEE Transactions on Pattern Analysis and Machine Intelligence 33 (11), 2160 …, 2011	250	2011
AP-CNN: Weakly supervised attention pyramid convolutional neural network for fine-grained visual classification Y Ding, Z Ma, S Wen, J Xie, D Chang, Z Si, M Wu, H Ling IEEE Transactions on Image Processing 30, 2826-2836, 2021	177	2021
Dual cross-entropy loss for small-sample fine-grained vehicle classification X Li, L Yu, D Chang, Z Ma, J Cao IEEE Transactions on Vehicular Technology 68 (5), 4204-4212, 2019	155	2019
BSNet: Bi-similarity network for few-shot fine-grained image classification X Li, J Wu, Z Sun, Z Ma, J Cao, JH Xue IEEE Transactions on Image Processing 30, 1318-1331, 2020	151	2020
Fine-grained vehicle classification with channel max pooling modified CNNs Z Ma, D Chang, J Xie, Y Ding, S Wen, X Li, Z Si, J Guo IEEE Transactions on Vehicular Technology 68 (4), 3224-3233, 2019	150	2019
Sketchmate: Deep hashing for million-scale human sketch retrieval P Xu, Y Huang, T Yuan, K Pang, YZ Song, T Xiang, TM Hospedales, Z Ma, ... Proceedings of the IEEE conference on computer vision and pattern …, 2018	145	2018
Variational Bayesian matrix factorization for bounded support data Z Ma, AE Teschendorff, A Leijon, Y Qiao, H Zhang, J Guo IEEE transactions on pattern analysis and machine intelligence 37 (4), 876-889, 2015	141	2015
A concise review of recent few-shot meta-learning methods X Li, Z Sun, JH Xue, Z Ma Neurocomputing 456, 463-468, 2021	140	2021
Your" flamingo" is my" bird": Fine-grained, or not D Chang, K Pang, Y Zheng, Z Ma, YZ Song, J Guo Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021	140	2021
The Role of Data Analysis in the Development of Intelligent Energy Networks Z Ma, J Xie, H Li, Q Sun, Z Si, J Zhang, J Guo IEEE Network 31 (5), 88 - 95, 2017	140	2017
Deep metric learning for few-shot image classification: A review of recent developments X Li, X Yang, Z Ma, JH Xue Pattern Recognition 138, 109381, 2023	129	2023
Decorrelation of Neutral Vector Variables: Theory and Applications Z Ma, JH Xue, A Leijon, ZH Tan, Z Yang, J Guo IEEE transactions on neural networks and learning systems, 2017	126	2017
Fine-grained age estimation in the wild with attention LSTM networks K Zhang, N Liu, X Yuan, X Guo, C Gao, Z Zhao, Z Ma IEEE Transactions on Circuits and Systems for Video Technology 30 (9), 3140-3152, 2019	125	2019
Spoofing detection in automatic speaker verification systems using DNN classifiers and dynamic acoustic features H Yu, ZH Tan, Z Ma, R Martin, J Guo IEEE transactions on neural networks and learning systems 29 (10), 4633-4644, 2017	123	2017

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