×
验证码:
换一张
Forgotten Password?
Stay signed in
Login With UMPASS
English
|
繁體
Login With UMPASS
Log In
ALL
ORCID
TI
AU
PY
SU
KW
TY
JN
DA
IN
PB
FP
ST
SM
Study Hall
Image search
Paste the image URL
Home
Faculties & Institutes
Scholars
Publications
Subjects
Statistics
News
Search in the results
Faculties & Institutes
THE STATE KEY LA... [7]
Faculty of Scien... [4]
Faculty of Busin... [1]
Authors
FEN HOU [2]
SONG YONGHUA [1]
LIAN ZHAOTONG [1]
SHAO YULIN [1]
Document Type
Journal article [8]
Conference paper [2]
Date Issued
2024 [4]
2023 [1]
2022 [1]
2021 [1]
2018 [1]
2014 [1]
More...
Language
英語English [10]
Source Publication
IEEE Transaction... [2]
2024 IEEE 2nd In... [1]
Advances in Appl... [1]
IEEE Internet of... [1]
IEEE Transaction... [1]
IEEE Transaction... [1]
More...
Indexed By
SCIE [5]
CPCI-S [1]
Funding Organization
Funding Project
×
Knowledge Map
UM
Start a Submission
Submissions
Unclaimed
Claimed
Attach Fulltext
Bookmarks
Browse/Search Results:
1-10 of 10
Help
Selected(
0
)
Clear
Items/Page:
5
10
15
20
25
30
35
40
45
50
55
60
65
70
75
80
85
90
95
100
Sort:
Select
Issue Date Ascending
Issue Date Descending
Title Ascending
Title Descending
Author Ascending
Author Descending
WOS Cited Times Ascending
WOS Cited Times Descending
Submit date Ascending
Submit date Descending
Journal Impact Factor Ascending
Journal Impact Factor Descending
Dynamic gNodeB Sleep Control for Energy-Conserving Radio Access Network
Journal article
Shen, Pengfei, Shao, Yulin, Cao, Qi, Lu, Lu. Dynamic gNodeB Sleep Control for Energy-Conserving Radio Access Network[J]. IEEE Transactions on Cognitive Communications and Networking, 2024, 10(4), 1371 - 1385.
Authors:
Shen, Pengfei
;
Shao, Yulin
;
Cao, Qi
;
Lu, Lu
Favorite
|
TC[WOS]:
0
TC[Scopus]:
1
IF:
7.4
/
6.9
|
Submit date:2024/05/16
Base Station Sleep Control
Ng-ran
Markov Decision Process
Greedy Policy
Index Policy
Utilizing Deep Reinforcement Learning for High-Voltage Distribution Network Expansion Planning
Conference paper
Ou, Zhongxi, Zhang, Liang, Zhao, Xiaoyan, Lan, Wei, Liu, Dundun, Liu, Weifeng. Utilizing Deep Reinforcement Learning for High-Voltage Distribution Network Expansion Planning[C]:Institute of Electrical and Electronics Engineers Inc., 2024, 725-730.
Authors:
Ou, Zhongxi
;
Zhang, Liang
;
Zhao, Xiaoyan
;
Lan, Wei
;
Liu, Dundun
; et al.
Favorite
|
TC[Scopus]:
0
|
Submit date:2024/09/03
Advantage Actor-critic
Deep Reinforcement Learning
Distribution Network Expansion
Markov Decision Process
Freshness-Aware Resource Allocation for Non-Orthogonal Wireless-Powered IoT Networks
Conference paper
Chen, Yunfeng, Liu, Yong, Xiao, Jinhao, Wu, Qunying, Zhang, Han, Hou, Fen. Freshness-Aware Resource Allocation for Non-Orthogonal Wireless-Powered IoT Networks[C]:IEEE, 2024.
Authors:
Chen, Yunfeng
;
Liu, Yong
;
Xiao, Jinhao
;
Wu, Qunying
;
Zhang, Han
; et al.
Favorite
|
TC[WOS]:
0
TC[Scopus]:
0
|
Submit date:2024/08/05
Age Of Information
Markov Decision Process
Non-orthogonal Multiple Access
Wireless-powered Iot Network
BLER Analysis and Optimal Power Allocation of HARQ-IR for Mission-Critical IoT Communications
Journal article
He, Fuchao, Shi, Zheng, Zhou, Binggui, Yang, Guanghua, Li, Xiaofan, Ye, Xinrong, Ma, Shaodan. BLER Analysis and Optimal Power Allocation of HARQ-IR for Mission-Critical IoT Communications[J]. IEEE Internet of Things Journal, 2024.
Authors:
He, Fuchao
;
Shi, Zheng
;
Zhou, Binggui
;
Yang, Guanghua
;
Li, Xiaofan
; et al.
Favorite
|
TC[WOS]:
0
TC[Scopus]:
1
IF:
8.2
/
9.0
|
Submit date:2024/09/03
Block Error Rate
Decoding
Deep Reinforcement Learning
Fading Channels
Harq-ir
Internet Of Things
Markov Decision Process
Reliability Theory
Resource Management
Short Packet Communications
Signal To Noise Ratio
Throughput
A Reinforcement Learning Based Coordinated but Differentiated Load Frequency Control Method With Heterogeneous Frequency Regulation Resources
Journal article
YuxinMa, Zechun Hu, Yonghua Song. A Reinforcement Learning Based Coordinated but Differentiated Load Frequency Control Method With Heterogeneous Frequency Regulation Resources[J]. IEEE Transactions on Power Systems, 2023, 39(1), 2239-2250.
Authors:
YuxinMa
;
Zechun Hu
;
Yonghua Song
Favorite
|
TC[WOS]:
3
TC[Scopus]:
4
IF:
6.5
/
7.4
|
Submit date:2023/08/03
Delays
Energy Storage Systems
Frequency Control
Generators
Load Frequency Control
Mathematical Models
Partially Observable Markov Decision Process
Power System Stability
Proximal Policy Optimization
Regulation
Renewable Energy Resources
Renewable Energy Sources
A Deep Reinforcement Learning Recommender System With Multiple Policies for Recommendations
Journal article
Mingsheng Fu, Liwei Huang, Ananya Rao, Athirai A. Irissappane, Jie Zhang, Hong Qu. A Deep Reinforcement Learning Recommender System With Multiple Policies for Recommendations[J]. IEEE Transactions on Industrial Informatics, 2022, 19(2), 2049-2061.
Authors:
Mingsheng Fu
;
Liwei Huang
;
Ananya Rao
;
Athirai A. Irissappane
;
Jie Zhang
; et al.
Favorite
|
TC[WOS]:
6
TC[Scopus]:
7
IF:
11.7
/
11.4
|
Submit date:2023/02/22
Deep Reinforcement Learning (Drl)
Multitask Markov Decision Process (Mdp)
Recommender System
Reinforcement Learning Enabled Dynamic Resource Allocation in the Internet of Vehicles
Journal article
Liang, Hongbin, Zhang, Xiaohui, Hong, Xintao, Zhang, Zongyuan, Li, Mushu, Hu, Guangdi, Hou, Fen. Reinforcement Learning Enabled Dynamic Resource Allocation in the Internet of Vehicles[J]. IEEE Transactions on Industrial Informatics, 2021, 17(7), 4957-4967.
Authors:
Liang, Hongbin
;
Zhang, Xiaohui
;
Hong, Xintao
;
Zhang, Zongyuan
;
Li, Mushu
; et al.
Favorite
|
TC[WOS]:
28
TC[Scopus]:
37
IF:
11.7
/
11.4
|
Submit date:2021/12/08
Hierarchical Architecture
Internet Of Vehicles (Iov)
Reinforcement Learning
Resource Allocation
Semi-markov Decision Process (Smdp)
Risk-sensitive semi-Markov decision processes with general utilities and multiple criteria
Journal article
YONGHUI HUANG, ZHAOTONG LIAN, XIANPING GUO. Risk-sensitive semi-Markov decision processes with general utilities and multiple criteria[J]. Advances in Applied Probability, 2018, 50(3), 783-804.
Authors:
YONGHUI HUANG
;
ZHAOTONG LIAN
;
XIANPING GUO
Favorite
|
TC[WOS]:
7
TC[Scopus]:
7
IF:
0.9
/
1.1
|
Submit date:2019/08/01
Expected Utility
Finite-horizon Cost
Linear Program
Occupation Measure
Semi-markov Decision Process
Learning-based web service composition in uncertain environments
Journal article
Yu L., Wang Z., Meng L., Qiu X., Zhou J.. Learning-based web service composition in uncertain environments[J]. Journal of Web Engineering, 2014, 13(5-6), 450-468.
Authors:
Yu L.
;
Wang Z.
;
Meng L.
;
Qiu X.
;
Zhou J.
Favorite
|
|
Submit date:2018/12/22
Optimal policy
Partially observable markov decision process
Reinforcement learning algorithm
Success rate of service composition
Web service composition
Autonomous behaviors of graphical avatars based on machine learning
Journal article
YUESHENG HE, YUAN YAN TANG. Autonomous behaviors of graphical avatars based on machine learning[J]. International Journal of Pattern Recognition and Artificial Intelligence, 2012, 26(2).
Authors:
YUESHENG HE
;
YUAN YAN TANG
Favorite
|
TC[WOS]:
0
TC[Scopus]:
0
IF:
0.9
/
1.0
|
Submit date:2019/02/11
3d Avatars
3d Graphical Environment
3d Graphical Models
Markov Decision Process
Reinforcement Learning
Support Vector Machine
Virtual Human