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Cyril Shih-Huan Hsu

Shih-Huan Hsu 0001

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affiliation: University of Amsterdam, Information Institute, The Netherlands

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2020 – today

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2023
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Cyril Shih-Huan Hsu, Danny De Vleeschauwer, Chrysa Papagianni:
SLA Decomposition for Network Slicing: A Deep Neural Network Approach. IEEE Netw. Lett. 5(4): 294-298 (2023)
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Cyril Shih-Huan Hsu, Jorge Martín-Pérez, Chrysa Papagianni, Paola Grosso:
V2N Service Scaling with Deep Reinforcement Learning. NOMS 2023: 1-5
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Cyril Shih-Huan Hsu, Jorge Martín-Pérez, Chrysa Papagianni, Paola Grosso:
V2N Service Scaling with Deep Reinforcement Learning. CoRR abs/2301.13324 (2023)
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Cyril Shih-Huan Hsu, Jorge Martín-Pérez, Danny De Vleeschauwer, Koteswararao Kondepu, Luca Valcarenghi, Xi Li, Chrysa Papagianni:
A Deep RL Approach on Task Placement and Scaling of Edge Resources for Cellular Vehicle-to-Network Service Provisioning. CoRR abs/2305.09832 (2023)

2010 – 2019

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2018
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Man-Chin Sun, Shih-Huan Hsu, Min-Chun Yang, Jen-Hsien Chien:
Context-aware Cascade Attention-based RNN for Video Emotion Recognition. CoRR abs/1805.12098 (2018)
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Shih-Huan Hsu, Tian-Li Yu:
Optimization by Pairwise Linkage Detection, Incremental Linkage Set, and Restricted / Back Mixing: DSMGA-II. CoRR abs/1807.11669 (2018)
2017
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Wei-Yi Chang, Shih-Huan Hsu, Jen-Hsien Chien:
FATAUVA-Net: An Integrated Deep Learning Framework for Facial Attribute Recognition, Action Unit Detection, and Valence-Arousal Estimation. CVPR Workshops 2017: 1963-1971
2015
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Shih-Huan Hsu, Tian-Li Yu:
Optimization by Pairwise Linkage Detection, Incremental Linkage Set, and Restricted / Back Mixing: DSMGA-II. GECCO 2015: 519-526

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