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THE STATE KEY LA... [4]
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LI ZHENNING [4]
WONG PAK KIN [1]
U LEONG HOU [1]
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CHENGZHONG XU [1]
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Journal article [6]
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2024 [3]
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City metro network expansion based on multi-objective reinforcement learning
Journal article
Zhang, Liqing, U, Leong Hou, Ni, Shaoquan, Chen, Dingjun, Li, Zhenning, Wang, Wenxian, Xian, Weizhi. City metro network expansion based on multi-objective reinforcement learning[J]. Transportation Research Part C: Emerging Technologies, 2024, 169, 104880.
Authors:
Zhang, Liqing
;
U, Leong Hou
;
Ni, Shaoquan
;
Chen, Dingjun
;
Li, Zhenning
; et al.
Favorite
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TC[WOS]:
0
TC[Scopus]:
0
IF:
7.6
/
9.6
|
Submit date:2024/11/05
Actor-critic Network
Metro Expansion
Reinforcement Learning
Multi-level traffic-responsive tilt camera surveillance through predictive correlated online learning
Journal article
Li, Tao, Bian, Zilin, Lei, Haozhe, Zuo, Fan, Yang, Ya Ting, Zhu, Quanyan, Li, Zhenning, Ozbay, Kaan. Multi-level traffic-responsive tilt camera surveillance through predictive correlated online learning[J]. TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES, 2024, 167, 104804.
Authors:
Li, Tao
;
Bian, Zilin
;
Lei, Haozhe
;
Zuo, Fan
;
Yang, Ya Ting
; et al.
Favorite
|
TC[WOS]:
0
TC[Scopus]:
0
IF:
7.6
/
9.6
|
Submit date:2024/09/03
Real-time Traffic Surveillance
Online Learning Control
Spatial–temporal Forecasting
Traffic State Estimation
Dynamic Route Planning
Hi-SCL: Fighting long-tailed challenges in trajectory prediction with hierarchical wave-semantic contrastive learning
Journal article
Lan, Zhengxing, Ren, Yilong, Yu, Haiyang, Liu, Lingshan, Li, Zhenning, Wang, Yinhai, Cui, Zhiyong. Hi-SCL: Fighting long-tailed challenges in trajectory prediction with hierarchical wave-semantic contrastive learning[J]. Transportation Research Part C: Emerging Technologies, 2024, 165, 104735.
Authors:
Lan, Zhengxing
;
Ren, Yilong
;
Yu, Haiyang
;
Liu, Lingshan
;
Li, Zhenning
; et al.
Favorite
|
TC[WOS]:
0
TC[Scopus]:
0
IF:
7.6
/
9.6
|
Submit date:2024/08/05
Contrastive Learning
Long-tailed Challenge
Trajectory Prediction
Wave Representation
Network-wide traffic signal control optimization using a multi-agent deep reinforcement learning
Journal article
Li,Zhenning, Yu,Hao, Zhang,Guohui, Dong,Shangjia, Xu,Cheng Zhong. Network-wide traffic signal control optimization using a multi-agent deep reinforcement learning[J]. TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES, 2021, 125, 103059.
Authors:
Li,Zhenning
;
Yu,Hao
;
Zhang,Guohui
;
Dong,Shangjia
;
Xu,Cheng Zhong
Favorite
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TC[WOS]:
75
TC[Scopus]:
96
IF:
7.6
/
9.6
|
Submit date:2021/05/31
Multi-agent Reinforcement Learning
Knowledge Sharing
Adaptive Traffic Signal Control
Deep Learning
Transportation Network
Development of a wireless inspection and notification system with minimum monitoring hardware for real-time vehicle engine health inspection
Journal article
Wong, Pak Kin, Vong C.M., Wong K.I., Ma Z.-Q.. Development of a wireless inspection and notification system with minimum monitoring hardware for real-time vehicle engine health inspection[J]. Transportation Research Part C: Emerging Technologies, 2015, 58, 29-45.
Authors:
Wong, Pak Kin
;
Vong C.M.
;
Wong K.I.
;
Ma Z.-Q.
Favorite
|
TC[WOS]:
2
TC[Scopus]:
4
IF:
7.6
/
9.6
|
Submit date:2019/02/13
In-use Vehicle Inspection
Internet Of Things
Maximum Spanning Tree
Radio Frequency Identification
Development of a wireless inspection and notification system with minimum monitoring hardware for real-time vehicle engine health inspection
Journal article
Wong, P. K., Vong, C. M., Wong, K. I., Ma, Z. Q.. Development of a wireless inspection and notification system with minimum monitoring hardware for real-time vehicle engine health inspection[J]. Transportation Research Part C: Emerging Technologies (SCI-E), 2015, 29-45.
Authors:
Wong, P. K.
;
Vong, C. M.
;
Wong, K. I.
;
Ma, Z. Q.
Favorite
|
IF:
7.6
/
9.6
|
Submit date:2022/08/09
In-use vehicle inspection
Radio frequency identification
Maximum spanning tree
Internet of things