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Yintai Ma
ORCID
Publication Activity (10 Years)
Years Active: 2017-2024
Publications (10 Years): 7
Top Topics
Convergence Analysis
Neural Network
Elastic Matching
Nearest Neighbor Classifier
Top Venues
CoRR
BigData
IEEE BigData
IEEE Trans. Neural Networks Learn. Syst.
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Publications
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Yintai Ma
,
Diego Klabjan
Diminishing Batch Normalization.
IEEE Trans. Neural Networks Learn. Syst.
35 (5) (2024)
Yintai Ma
,
Diego Klabjan
Semi-supervised 3D Video Information Retrieval with Deep Neural Network and Bi-directional Dynamic-time Warping Algorithm.
BigData
(2023)
Yintai Ma
,
Diego Klabjan
Semi-supervised 3D Video Information Retrieval with Deep Neural Network and Bi-directional Dynamic-time Warping Algorithm.
CoRR
(2023)
Xiaocheng Tang
,
Zhiwei (Tony) Qin
,
Fan Zhang
,
Zhaodong Wang
,
Zhe Xu
,
Yintai Ma
,
Hongtu Zhu
,
Jieping Ye
A Deep Value-network Based Approach for Multi-Driver Order Dispatching.
CoRR
(2021)
Tao Huang
,
Yintai Ma
,
Zhiwei (Tony) Qin
,
Jianfeng Zheng
,
Henry X. Liu
,
Hongtu Zhu
,
Jieping Ye
Origin-destination Flow Prediction with Vehicle Trajectory Data and Semi-supervised Recurrent Neural Network.
IEEE BigData
(2019)
Xiaocheng Tang
,
Zhiwei (Tony) Qin
,
Fan Zhang
,
Zhaodong Wang
,
Zhe Xu
,
Yintai Ma
,
Hongtu Zhu
,
Jieping Ye
A Deep Value-network Based Approach for Multi-Driver Order Dispatching.
KDD
(2019)
Yintai Ma
,
Diego Klabjan
Convergence Analysis of Batch Normalization for Deep Neural Nets.
CoRR
(2017)