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查看 Scopus 资料
谭 华春
前沿交叉科学研究院
h-index
5286
引用
32
H-指数
根据储存在 Pure 的刊物以及来自 Scopus 的引用文献数量计算
2003
2026
历年发文量
概览
指纹图谱
合作网络
科研成果
(158)
相似学者
(1)
个人学者
指纹图谱
深入探索 Huachun Tan 活跃其中的研究主题。这些主题标签来自该研究者的学术成果,它们共同构成了一个独特的学术指纹.
1
相似学者
Experimental Result
Computer Science
100%
Deep Reinforcement Learning
Computer Science
47%
Traffic Flow Prediction
Computer Science
35%
Deep Learning Method
Computer Science
32%
Highway Systems
Engineering
28%
Facial Recognition
Computer Science
26%
Intelligent Transportation System
Computer Science
26%
Deep Neural Network
Computer Science
25%
科研成果
!!Research output per year
2003
2010
2012
2013
2019
2020
2021
2024
2025
2026
90
文章
62
会议稿件
5
会议文章
1
章节
!!Research output per year
!!Research output per year
BiVIBEV: Bimodal Vehicle-Infrastructure Cooperative Perception via Unified BEV Representation
Zhu, J., Li, B.,
Tan, H.
,
Zhao, Y.
& Gao, B.,
8 1月 2026
,
Intelligent Transportation Engineering - Proceedings of the 10th International Conference on Intelligent Transportation Engineering, ICITE 2025.
Chen, Y. (编辑).
IOS Press BV
,
页码 411-422
12 页码
(Advances in Transdisciplinary Engineering; 卷 84).
科研成果
:
书/报告/会议事项章节
›
会议稿件
›
同行评审
开放访问
View Representation
100%
Experimental Result
33%
Art Performance
33%
cooperative system
33%
Point Cloud
33%
Integrating multi-scale decoupled representations for traffic image restoration under multiple adverse weather conditions
Dong, H., Kong, D., Zhang, H., Ding, F., Peng, J. &
Tan, H.
,
8月 2026
,
在:
Journal of King Saud University - Computer and Information Sciences.
38
,
6
, 362.
科研成果
:
期刊稿件
›
文章
›
同行评审
开放访问
Image Restoration
100%
Adverse Weather
100%
Weather Condition
100%
Multiscale
100%
Experimental Result
25%
Long-term traffic flow prediction via spatiotemporal sequence reconstruction on highway networks
Liu, Z., Wang, J.,
Tan, H.
& Ding, F.,
1 4月 2026
,
在:
Expert Systems with Applications.
304
, 130845.
科研成果
:
期刊稿件
›
文章
›
同行评审
Traffic Flow Prediction
100%
Frequency Domain
66%
Attention (Machine Learning)
33%
Experimental Result
33%
Temporal Feature
33%
Multi-agent trajectory prediction with Hierarchical Coordinate-Based Representation
Zhu, Y., Fu, S., Wang, Y.,
Zhao, Y.
&
Tan, H.
,
1 2月 2026
,
在:
Engineering Applications of Artificial Intelligence.
165
, 113335.
科研成果
:
期刊稿件
›
文章
›
同行评审
multi agent
100%
Experimental Result
50%
Temporal Feature
50%
Estimation Error
50%
Autonomous Driving
50%
1
在新选项卡中打开链接
引用 (Scopus)
Resilient Multi-Agent Deep Reinforcement Learning for Routing Control via Traffic Cost Fields
Dong, Y.,
Tan, H.
, Zhou, X., Li, P. &
Zhao, Y.
,
2026
,
2026 12th International Conference on Control, Automation and Robotics, ICCAR 2026.
2026 编辑
Institute of Electrical and Electronics Engineers Inc.
,
页码 1-7
7 页码
科研成果
:
书/报告/会议事项章节
›
会议稿件
›
同行评审
multi agent
100%
Time Performance
100%
Optimal Routing
100%
Routing Decision
100%
Multi-Agent Deep Reinforcement Learning
100%