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Fangxin Wang
Fangxin Wang
The Chinese University of Hong Kong, Shenzhen
Verified email at cuhk.edu.cn - Homepage
Title
Cited by
Cited by
Year
Deep learning for edge computing applications: A state-of-the-art survey
F Wang, M Zhang, X Wang, X Ma, J Liu
IEEE Access 8, 58322-58336, 2020
1472020
On Spatial Diversity in WiFi-Based Human Activity Recognition: A Deep Learning-Based Approach
F Wang, W Gong, J Liu
IEEE Internet of Things Journal 6 (2), 2035-2047, 2018
1232018
Intelligent Video Caching at Network Edge: A Multi-Agent Deep Reinforcement Learning Approach
F Wang, F Wang, J Liu, R Shea, L Sun
IEEE INFOCOM 2020-IEEE Conference on Computer Communications, 2499-2508, 2020
1112020
A survey on deep learning empowered IoT applications
X Ma, T Yao, M Hu, Y Dong, W Liu, F Wang, J Liu
IEEE Access 7, 181721-181732, 2019
962019
Intelligent Edge-Assisted Crowdcast with Deep Reinforcement Learning for Personalized QoE
F Wang, C Zhang, F Wang, J Liu, Y Zhu, H Pang, L Sun
IEEE INFOCOM 2019, 2019
802019
Demystifying the Crowd Intelligence in Last Mile Parcel Delivery for Smart Cities
F Wang, F Wang, X Ma, J Liu
IEEE Network 33 (2), 23-29, 2019
722019
Channel selective activity recognition with WiFi: A deep learning approach exploring wideband information
F Wang, W Gong, J Liu, K Wu
IEEE Transactions on Network Science and Engineering 7 (1), 181-192, 2018
632018
WiCAR: WiFi-based in-car activity recognition with multi-adversarial domain adaptation
F Wang, J Liu, W Gong
2019 IEEE/ACM 27th International Symposium on Quality of Service (IWQoS), 1-10, 2019
502019
When RFID Meets Deep Learning: Exploring Cognitive Intelligence for Activity Identification
X Fan, F Wang, F Wang, W Gong, J Liu
IEEE Wireless Communications 26 (3), 19-25, 2019
472019
Multi-adversarial in-car activity recognition using RFIDs
F Wang, J Liu, W Gong
IEEE Transactions on Mobile Computing 20 (6), 2224-2237, 2020
392020
Car4pac: Last mile parcel delivery through intelligent car trip sharing
F Wang, Y Zhu, F Wang, J Liu, X Ma, X Fan
IEEE Transactions on Intelligent Transportation Systems 21 (10), 4410-4424, 2019
382019
Towards Low Latency Multi-viewpoint 360° Interactive Video: A Multimodal Deep Reinforcement Learning Approach
H Pang, C Zhang, F Wang, J Liu, L Sun
IEEE INFOCOM 2019-IEEE Conference on Computer Communications, 991-999, 2019
382019
DeePar: A Hybrid Device-Edge-Cloud Execution Framework for Mobile Deep Learning Applications
Y Huang, F Wang, F Wang, J Liu
IEEE INFOCOM 2019-IEEE Conference on Computer Communications Workshops …, 2019
382019
Bandwidth guaranteed virtual network function placement and scaling in datacenter networks
F Wang, R Ling, J Zhu, D Li
2015 IEEE 34th International Performance Computing and Communications …, 2015
372015
Task Scheduling with Optimized Transmission Time in Collaborative Cloud-Edge Learning
Y Huang, Y Zhu, X Fan, X Ma, F Wang, J Liu, Z Wang, Y Cui
2018 27th International Conference on Computer Communication and Networks …, 2018
332018
Backup Battery Analysis and Allocation against Power Outage for Cellular Base Stations
F Wang, X Fan, F Wang, J Liu
IEEE Transactions on Mobile Computing 18 (3), 520-533, 2018
322018
Deepcast: Towards personalized qoe for edge-assisted crowdcast with deep reinforcement learning
F Wang, C Zhang, F Wang, J Liu, Y Zhu, H Pang, L Sun
IEEE/ACM Transactions on Networking 28 (3), 1255-1268, 2020
282020
CCDN: Content-centric data center networks
M Zhu, D Li, F Wang, A Li, KK Ramakrishnan, Y Liu, J Wu, N Zhu, X Liu
IEEE/ACM Transactions on Networking 24 (6), 3537-3550, 2016
262016
Towards cloud-edge collaborative online video analytics with fine-grained serverless pipelines
M Zhang, F Wang, Y Zhu, J Liu, Z Wang
Proceedings of the 12th ACM Multimedia Systems Conference, 80-93, 2021
242021
CASVA: Configuration-Adaptive Streaming for Live Video Analytics
M Zhang, F Wang, J Liu
IEEE INFOCOM 2022-IEEE Conference on Computer Communications, 2168-2177, 2022
212022
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