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Knowledge Graph-Based Reinforcement Federated Learning for Chinese Question and Answering
Journal article
Xu,Liang, Chen,Tao, Hou,Zhaoxiang, Zhang,Weishan, Hon,Chitin, Wang,Xiao, Wang,Di, Chen,Long, Zhu,Wenyin, Tian,Yunlong, Ning,Huansheng, Wang,Fei Yue. Knowledge Graph-Based Reinforcement Federated Learning for Chinese Question and Answering[J]. IEEE Transactions on Computational Social Systems, 2024, 11(1), 1035-1045.
Authors:
Xu,Liang
;
Chen,Tao
;
Hou,Zhaoxiang
;
Zhang,Weishan
;
Hon,Chitin
; et al.
Favorite
|
TC[WOS]:
3
TC[Scopus]:
4
IF:
4.5
/
4.6
|
Submit date:2023/08/03
Knowledge Graph
Multitask Semantic Parsing [Msp-bidirectional And Auto-regressive Transformers (Bart)]
Prompt Learning
Question And Answering (q&a)
Reinforcement Federated Learning (Rfl)
Integrating metabolomic data with machine learning approach for discovery of Q-markers from Jinqi Jiangtang preparation against type 2 diabetes
Journal article
Yang, Lele, Xue, Yan, Wei, Jinchao, Dai, Qi, Li, Peng. Integrating metabolomic data with machine learning approach for discovery of Q-markers from Jinqi Jiangtang preparation against type 2 diabetes[J]. Chinese Medicine, 2021, 16(1), 30.
Authors:
Yang, Lele
;
Xue, Yan
;
Wei, Jinchao
;
Dai, Qi
;
Li, Peng
Favorite
|
TC[WOS]:
14
TC[Scopus]:
15
IF:
5.3
/
5.5
|
Submit date:2021/12/09
Backpropagation Artificial Neural Network
Jinqi Jiangtang
Machine Learning
Mass Spectrometry
Metabolomics
Q-markers
Energy-Efficient UAV-Enabled Data Collection via Wireless Charging: A Reinforcement Learning Approach
Journal article
Fu Shu, Tang Yujie, Wu Yuan, Zhang Ning, Gu Huaxi, Chen Chen, Liu Min. Energy-Efficient UAV-Enabled Data Collection via Wireless Charging: A Reinforcement Learning Approach[J]. IEEE Internet of Things Journal, 2021, 8(12), 10209-10219.
Authors:
Fu Shu
;
Tang Yujie
;
Wu Yuan
;
Zhang Ning
;
Gu Huaxi
; et al.
Favorite
|
TC[WOS]:
66
TC[Scopus]:
86
IF:
8.2
/
9.0
|
Submit date:2021/09/10
Data Collection
Design Of Reward Function
Energy Efficiency
Q-learning
Reinforcement Learning
Unmanned Aerial Vehicle (Uav)
SMig-RL: An evolutionary migration framework for cloud services based on deep reinforcement learning
Journal article
Ren,Hongshuai, Wang,Yang, Xu,Chengzhong, Chen,Xi. SMig-RL: An evolutionary migration framework for cloud services based on deep reinforcement learning[J]. ACM Transactions on Internet Technology, 2020, 20(4).
Authors:
Ren,Hongshuai
;
Wang,Yang
;
Xu,Chengzhong
;
Chen,Xi
Favorite
|
TC[WOS]:
7
TC[Scopus]:
7
IF:
3.9
/
3.6
|
Submit date:2021/03/09
Cloud Computing
Deep Reinforcement Learning
Dynamic Service Migration
Mobile Access
Q-learning
Rnn
Towards cost-effective service migration in mobile edge: A Q-learning approach
Journal article
Wang,Yang, Cao,Shan, Ren,Hongshuai, Li,Jianjun, Ye,Kejiang, Xu,Chengzhong, Chen,Xi. Towards cost-effective service migration in mobile edge: A Q-learning approach[J]. Journal of Parallel and Distributed Computing, 2020, 146, 175-188.
Authors:
Wang,Yang
;
Cao,Shan
;
Ren,Hongshuai
;
Li,Jianjun
;
Ye,Kejiang
; et al.
Favorite
|
TC[WOS]:
6
TC[Scopus]:
12
IF:
3.4
/
3.4
|
Submit date:2021/03/09
Mobile Edge Computing
Dynamic Service Migration
Reinforcement Learning
Q-learning
Software-defined Networking
Towards Personalized Learning Through Class Contextual Factors-Based Exercise Recommendation
Conference paper
Huo, Yujia, Xiao, Jiang, Ni, Lionel M.. Towards Personalized Learning Through Class Contextual Factors-Based Exercise Recommendation[C], 2019, 85-92.
Authors:
Huo, Yujia
;
Xiao, Jiang
;
Ni, Lionel M.
Favorite
|
TC[WOS]:
9
TC[Scopus]:
12
|
Submit date:2022/04/15
Attribute-based Recommendation
Learning Remediation
Performance Prediction
Personalized Learning
Q-matrix
Recommender Systems
Online adjusting subway timetable by q-learning to save energy consumption in uncertain passenger demand
Conference paper
Yin J., Chen D., Zhao W., Chen L.. Online adjusting subway timetable by q-learning to save energy consumption in uncertain passenger demand[C], 2014, 2743-2748.
Authors:
Yin J.
;
Chen D.
;
Zhao W.
;
Chen L.
Favorite
|
TC[WOS]:
5
TC[Scopus]:
10
|
Submit date:2019/02/13
Energy-efficient
Intelligent Train Operation
Q-learning
Subway System
Timetable