Linsen Dong
Linsen Dong
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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
Content-Aware Personalised Rate Adaptation for Adaptive Streaming via Deep Video Analysis
G Gao, L Dong, H Zhang, Y Wen, W Zeng
ICC 2019-2019 IEEE International Conference on Communications (ICC), 1-8, 2019
Intelligent Trainer for Dyna-Style Model-Based Deep Reinforcement Learning
L Dong, Y Li, X Zhou, Y Wen, K Guan
IEEE Transactions on Neural Networks and Learning Systems, 2020
Kalibre: Knowledge-based Neural Surrogate Model Calibration for Data Center Digital Twins
R Wang, X Zhou, L Dong, Y Wen, R Tan, L Chen, G Wang, F Zeng
Proceedings of the 7th ACM International Conference on Systems for Energy …, 2020
Incorporating Category Taxonomy in Deep Reinforcement Learning Based Image Hashing
Q Fu, L Dong, Z Liu, Y Luo, Y Wen, Y Li, LY Duan
2019 IEEE International Conference on Multimedia and Expo (ICME), 127-132, 2019
Baconian: A Unified Open-source Framework for Model-Based Reinforcement Learning
L Dong, G Gao, X Zhang, L Chen, Y Wen
arXiv preprint arXiv:1904.10762, 2019
Toward Automated Calibration of Data Center Digital Twins: A Neural Surrogate Approach
R Wang, Y Li, L Dong, X Zhou, Y Wen, R Tan, L Chen, G Wang, F Zeng
arXiv e-prints, arXiv: 2001.10681, 2020
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