Han Hu
Han Hu
Professor, School of Information and Electronics, Beijing Institute of Technology, China
Verified email at bit.edu.cn
Cited by
Cited by
Toward scalable systems for big data analytics: A technology tutorial
H Hu, Y Wen, TS Chua, X Li
IEEE access 2, 652-687, 2014
Joint Content Replication and Request Routing for Social Video Distribution over Cloud CDN: A Community Clustering Method
H Hu, Y Wen, TS Chua, J Huang, W Zhu, X Li
IEEE Transactions on Circuits and Systems for Video Technology, 2016
Toward an SDN-Enabled Big Data Platform for Social TV Analytics
XL Han Hu, Yonggang Wen, Yue Gao, Tat-Seng Chua
IEEE Network, 2015
Resource provisioning and profit maximization for transcoding in clouds: A two-timescale approach
G Gao, H Hu, Y Wen, C Westphal
IEEE Transactions on Multimedia 19 (4), 836-848, 2016
Community based effective social video contents placement in cloud centric CDN network
H Hu, Y Wen, TS Chua, Z Wang, J Huang, W Zhu, D Wu
IEEE ICME, 1-6, 2014
Toward multiscreen social TV with geolocation-aware social sense
H Hu, Y Wen, H Luan, TS Chua, X Li
IEEE MultiMedia 21 (3), 10-19, 2014
Online buffer fullness estimation aided adaptive media playout for video streaming
J Yang, H Hu, H Xi, L Hanzo
IEEE Transactions on Multimedia 13 (5), 1141-1153, 2011
Public cloud storage-assisted mobile social video sharing: A supermodular game approach
H Hu, Y Wen, D Niyato
IEEE journal on selected areas in communications 35 (3), 545-556, 2017
Reducing operational costs in cloud social TV: An opportunity for cloud cloning
Y Jin, Y Wen, H Hu, MJ Montpetit
IEEE transactions on multimedia 16 (6), 1739-1751, 2014
Completion time and energy optimization in the UAV-enabled mobile-edge computing system
C Zhan, H Hu, X Sui, Z Liu, D Niyato
IEEE Internet of Things Journal 7 (8), 7808-7822, 2020
Spectrum allocation and bitrate adjustment for mobile social video sharing: Potential game with online QoS learning approach
H Hu, Y Wen, D Niyato
IEEE journal on selected areas in communications 35 (4), 935-948, 2017
Optimizing quality of experience for adaptive bitrate streaming via viewer interest inference
G Gao, H Zhang, H Hu, Y Wen, J Cai, C Luo, W Zeng
IEEE Transactions on Multimedia 20 (12), 3399-3413, 2018
Mining mobile intelligence for wireless systems: A deep neural network approach
H Hu, Z Liu, J An
IEEE Computational intelligence magazine 15 (1), 24-31, 2020
Minimizing monetary cost via cloud clone migration in multi-screen cloud social TV system
Y Jin, Y Wen, H Hu
2013 IEEE Global Communications Conference (GLOBECOM), 1747-1752, 2013
Learning-based power prediction for data centre operations via deep neural networks
Y Li, H Hu, Y Wen, J Zhang
Proceedings of the 5th International Workshop on Energy Efficient Data …, 2016
Social tv analytics: a novel paradigm to transform tv watching experience
H Hu, J Huang, H Zhao, Y Wen, CW Chen, TS Chua
Proceedings of the 5th ACM Multimedia Systems Conference, 172-175, 2014
DeepQoE: A unified framework for learning to predict video QoE
H Zhang, H Hu, G Gao, Y Wen, K Guan
ICME, 1-6, 2018
Dynamic cluster reconfiguration for energy conservation in computation intensive service
J Yang, K Zeng, H Hu, H Xi
IEEE Transactions on Computers 61 (10), 1401-1416, 2012
Deepee: Joint optimization of job scheduling and cooling control for data center energy efficiency using deep reinforcement learning
Y Ran, H Hu, X Zhou, Y Wen
2019 ICDCS, 645-655, 2019
DeepQoE: A multimodal learning framework for video quality of experience (QoE) prediction
H Zhang, L Dong, G Gao, H Hu, Y Wen, K Guan
IEEE Transactions on Multimedia 22 (12), 3210-3223, 2020
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