재정 지원 요구사항을 통해 공개된 자료 - Chi Harold Liu자세히 알아보기
제공된 곳이 없음: 63
Energy-efficient UAV control for effective and fair communication coverage: A deep reinforcement learning approach
CH Liu, Z Chen, J Tang, J Xu, C Piao
IEEE Journal on Selected Areas in Communications 36 (9), 2059-2070, 2018
재정 지원 요구사항 정책: National Natural Science Foundation of China
Distributed energy-efficient multi-UAV navigation for long-term communication coverage by deep reinforcement learning
CH Liu, X Ma, X Gao, J Tang
IEEE Transactions on Mobile Computing 19 (6), 1274-1285, 2020
재정 지원 요구사항 정책: US National Science Foundation, National Natural Science Foundation of China
Learning-based Energy-Efficient Data Collection by Unmanned Vehicles in Smart Cities
B Zhang, CH Liu, J Tang, Z Xu, J Ma, W Wang
IEEE Transactions on Industrial Informatics 14 (4), 1666 - 1676, 2018
재정 지원 요구사항 정책: National Natural Science Foundation of China
Energy-efficient distributed mobile crowd sensing: A deep learning approach
CH Liu, Z Chen, Y Zhan
IEEE Journal on Selected Areas in Communications 37 (6), 1262-1276, 2019
재정 지원 요구사항 정책: National Natural Science Foundation of China
Distributed and Energy-Efficient Mobile Crowdsensing with Charging Stations by Deep Reinforcement Learning
CH Liu, Z Dai, Y Zhao, J Crowcroft, D Wu, KK Leung
IEEE Transactions on Mobile Computing 20 (1), 130-146, 2021
재정 지원 요구사항 정책: National Natural Science Foundation of China
Free Market of Multi-Leader Multi-Follower Mobile Crowdsensing: An Incentive Mechanism Design by Deep Reinforcement Learning
Y Zhan, CH Liu, Y Zhao, J Zhang, J Tang
IEEE Transactions on Mobile Computing 19 (10), 2316 - 2329, 2020
재정 지원 요구사항 정책: National Natural Science Foundation of China
Energy-efficient relay selection for cooperative relaying in wireless multimedia networks
Z Sheng, J Fan, CH Liu, VCM Leung, X Liu, KK Leung
IEEE Transactions on Vehicular Technology 64 (3), 1156-1170, 2014
재정 지원 요구사항 정책: National Natural Science Foundation of China
Online quality-aware incentive mechanism for mobile crowd sensing with extra bonus
H Gao, CH Liu, J Tang, D Yang, P Hui, W Wang
IEEE Transactions on Mobile Computing 18 (11), 2589-2603, 2018
재정 지원 요구사항 정책: US National Science Foundation, National Natural Science Foundation of China
Energy-Efficient UAV Crowdsensing with Multiple Charging Stations by Deep Learning
CH Liu, C Piao, J Tang
IEEE INFOCOM 2020, 1123-1132, 2020
재정 지원 요구사항 정책: National Natural Science Foundation of China
Participant selection for federated learning with heterogeneous data in intelligent transport system
J Zhao, X Chang, Y Feng, CH Liu, N Liu
IEEE Transactions on Intelligent Transportation Systems 24 (1), 1106-1115, 2023
재정 지원 요구사항 정책: National Natural Science Foundation of China
Social-Aware Incentive Mechanism for Vehicular Crowdsensing by Deep Reinforcement Learning
Y Zhao, CH Liu
IEEE Transactions on Intelligent Tranpsortation Systems 22 (4), 2314-2325, 2021
재정 지원 요구사항 정책: National Natural Science Foundation of China
A Collaborative Alignment Framework of Transferable Knowledge Extraction for Unsupervised Domain Adaptation
B Xie, S Li, F Lv, CH Liu, Z Ding, G Wang, D Wu
IEEE Transactions on Knowledge and Data Engineering 35 (7), 6518 - 6533, 2023
재정 지원 요구사항 정책: National Natural Science Foundation of China
Delay Sensitive Energy-Efficient UAV Crowdsensing by Deep Reinforcement Learning
Z Dai, CH Liu, R Han, G Wang, KK Leung, J Tang
IEEE Transactions on Mobile Computing 22 (4), 2038 - 2052, 2023
재정 지원 요구사항 정책: National Natural Science Foundation of China
QoI-aware energy-efficient participant selection
Z Song, B Zhang, CH Liu, AV Vasilakos, J Ma, W Wang
2014 Eleventh Annual IEEE International Conference on sensing, communication …, 2014
재정 지원 요구사항 정책: National Natural Science Foundation of China
AoI-minimal UAV Crowdsensing by Model-based Graph Convolutional Reinforcement Learning
Z Dai, CH Liu, Y Ye, R Han, Y Yuan, G Wang, J Tang
IEEE INFOCOM 2022, 1029-1038, 2022
재정 지원 요구사항 정책: National Natural Science Foundation of China
Credible and energy-aware participant selection with limited task budget for mobile crowd sensing
W Wang, H Gao, CH Liu, KK Leung
Ad Hoc Networks 43, 56-70, 2016
재정 지원 요구사항 정책: National Natural Science Foundation of China
Multi-Task-Oriented Vehicular Crowdsensing: A Deep Learning Approach
CH Liu, Z Dai, H Yang, J Tang
IEEE INFOCOM 2020, 199-208, 2020
재정 지원 요구사항 정책: National Natural Science Foundation of China
Energy-Efficient Mobile Crowdsensing by Unmanned Vehicles: A Sequential Deep Reinforcement Learning Approach
C Piao, CH Liu
IEEE Internet of Things Journal 7 (7), 6312-6324, 2020
재정 지원 요구사항 정책: National Natural Science Foundation of China
An event-driven QoI-aware participatory sensing framework with energy and budget constraints
B Zhang, Z Song, CH Liu, J Ma, W Wang
ACM Transactions on Intelligent Systems and Technology (TIST) 6 (3), 1-19, 2015
재정 지원 요구사항 정책: National Natural Science Foundation of China
Mobile Crowdsensing for Data Freshness: A Deep Reinforcement Learning Approach
Z Dai, H Wang, CH Liu, R Han, J Tang, G Wang
IEEE INFOCOM 2021, 1-10, 2021
재정 지원 요구사항 정책: National Natural Science Foundation of China
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