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Tianlun Hu
Tianlun Hu
Nokia Bell Labs, PhD student at Technical University of Munich
Verified email at nokia.com
Title
Cited by
Cited by
Year
Inter-cell slicing resource partitioning via coordinated multi-agent deep reinforcement learning
T Hu, Q Liao, Q Liu, D Wellington, G Carle
ICC 2022-IEEE International Conference on Communications, 3202-3207, 2022
92022
HARU: Haptic augmented reality-assisted user-centric industrial network planning
Q Liao, N Marchenko, T Hu, P Kulics, L Ewe
2022 IEEE Globecom Workshops (GC Wkshps), 389-394, 2022
42022
Network slicing via transfer learning aided distributed deep reinforcement learning
T Hu, Q Liao, Q Liu, G Carle
GLOBECOM 2022-2022 IEEE Global Communications Conference, 2909-2914, 2022
42022
Real-time camera localization with deep learning and sensor fusion
T Hu, Q Liao
ICC 2021-IEEE International Conference on Communications, 1-7, 2021
42021
Knowledge transfer in deep reinforcement learning for slice-aware mobility robustness optimization
Q Liao, T Hu, D Wellington
ICC 2022-IEEE International Conference on Communications, 4262-4268, 2022
32022
A Joint Industrial-Network Simulator for Leveraging Automation in 5G Private Networks
A Lieto, S Strzyz, P Agostini, T Hu
European Wireless 2022; 27th European Wireless Conference, 1-5, 2022
12022
Augmented Reality-Empowered Network Planning Services for Private Networks
Q Liao, T Hu, N Marchenko
CoRR, 2022
12022
Fast and Scalable Network Slicing by Integrating Deep Learning with Lagrangian Methods
T Hu, Q Liao, Q Liu, A Massaro, G Carle
GLOBECOM 2023-2023 IEEE Global Communications Conference, 6346-6351, 2023
2023
Inter-Cell Network Slicing With Transfer Learning Empowered Multi-Agent Deep Reinforcement Learning
T Hu, Q Liao, Q Liu, G Carle
IEEE Open Journal of the Communications Society, 2023
2023
Camera relocalization methods for real-time ar-supported network service visualization
Q Liao, HU Tianlun
US Patent App. 17/906,430, 2023
2023
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