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Dawei Chen
Dawei Chen
Toyota Motor North America R&D, InfoTech Labs
Verified email at toyota.com
Title
Cited by
Cited by
Year
Matching theory based low-latency scheme for multi-task federated learning in mec networks
D Chen, CS Hong, L Wang, Y Zha, Y Zhang, X Liu, Z Han
IEEE Internet of Things Journal 8 (14), 11415-11426, 2021
822021
Federated learning based mobile edge computing for augmented reality applications
D Chen, LJ Xie, BG Kim, L Wang, CS Hong, LC Wang, Z Han
2020 international conference on computing, networking and communications …, 2020
782020
Edge computing resources reservation in vehicular networks: A meta-learning approach
D Chen, YC Liu, BG Kim, J Xie, CS Hong, Z Han
IEEE Transactions on Vehicular Technology 69 (5), 5634-5646, 2020
682020
Digital twin for federated analytics using a Bayesian approach
D Chen, D Wang, Y Zhu, Z Han
IEEE Internet of Things Journal 8 (22), 16301-16312, 2021
472021
Prediction of cloud resources demand based on hierarchical pythagorean fuzzy deep neural network
D Chen, X Zhang, LL Wang, Z Han
IEEE Transactions on Services Computing 14 (6), 1890 - 1901, 2019
322019
Metamobility: Connecting future mobility with the metaverse
H Wang, Z Wang, D Chen, Q Liu, H Ke, KKT Han
IEEE Vehicular Technology Magazine 18 (3), 69-79, 2023
242023
FedSVRG Based Communication Efficient Scheme for Federated Learning in MEC Networks
D Chen, CS Hong, Y Zha, Y Zhang, X Liu, Z Han
IEEE Transactions on Vehicular Technology 70 (7), 7300-7304, 2021
202021
Federated Learning for Wireless Networks
CS Hong, LU Khan, M Chen, D Chen, W Saad, Z Han
Springer Nature, 2021
142021
Deep reinforcement learning based strategy for quadrotor UAV pursuer and evader problem
D Chen, Y Wei, L Wang, CS Hong, LC Wang, Z Han
2020 IEEE International Conference on Communications Workshops (ICC …, 2020
112020
Incentive framework for cross-device federated learning and analytics with multiple tasks based on a multi-leader-follower game
Y Yu, D Chen, X Tang, T Song, CS Hong, Z Han
IEEE Transactions on Network Science and Engineering 9 (5), 3749-3761, 2022
102022
Unveiling energy efficiency in deep learning: Measurement, prediction, and scoring across edge devices
X Tu, A Mallik, D Chen, K Han, O Altintas, H Wang, J Xie
2023 IEEE/ACM Symposium on Edge Computing (SEC), 80-93, 2023
82023
Visualization of Mobility Digital Twin: Framework Design, Case Study, and Future Challenges
Y Liu, X Tu, D Chen, K Han, O Altintas, H Wang, J Xie
2023 IEEE 20th International Conference on Mobile Ad Hoc and Smart Systems …, 2023
82023
Prediction of cloud resources demand based on fuzzy deep neural network
D Chen, X Zhang, L Wang, Z Han
2018 IEEE Global Communications Conference (GLOBECOM), 1-5, 2018
82018
Methods and systems for selecting machine learning models to predict distributed computing resources
D Chen, YC Liu, BG Kim
US Patent App. 16/710,590, 2021
62021
Confidence-based federated distillation for vision-based lane-centering
Y Chen, D Chen, H Wang, K Han, M Zhao
2023 IEEE International Conference on Acoustics, Speech, and Signal …, 2023
42023
EPAM: A predictive energy model for mobile AI
A Mallik, H Wang, J Xie, D Chen, K Han
ICC 2023-IEEE International Conference on Communications, 954-959, 2023
42023
Poster: Enabling high-fidelity and real-time mobility digital twin with edge computing
Y Liu, H Wang, Z Cai, D Chen, K Han
2022 IEEE/ACM 7th Symposium on Edge Computing (SEC), 281-283, 2022
42022
Love of variety based latency analysis for high definition map updating: Age of information and distributional robust perspectives
D Chen, Y Zhu, D Wang, H Wang, J Xie, XP Zhang, Z Han
IEEE Transactions on Intelligent Vehicles 8 (2), 1751-1764, 2022
42022
Incentive mechanisms for federated learning
CS Hong, LU Khan, M Chen, D Chen, W Saad, Z Han, C Seon Hong, ...
Federated Learning for Wireless Networks, 71-128, 2021
42021
CoMap: Proactive Provision for Crowdsourcing Map in Automotive Edge Computing
Y Xue, Y Zhang, Q Liu, D Chen, K Han
ICC 2023-IEEE International Conference on Communications, 3252-3257, 2023
32023
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