Cyril Shih-Huan Hsu

14 papers B 1C 1Journal 10Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Cascaded Transformer for Robust and Scalable SLA Decomposition via Amortized Optimization. CoRR Cyril Shih-Huan Hsu
2026	J	`jnl`	MapViT: A Two-Stage ViT-Based Framework for Real-Time Radio Quality Map Prediction in Dynamic Environments. CoRR Cyril Shih-Huan Hsu, Xi Li, Lanfranco Zanzi, Zhiheng Yang, Chrysa Papagianni, Xavier Costa-Pérez
2025	J	`jnl`	A Deep RL Approach on Task Placement and Scaling of Edge Resources for Cellular Vehicle-to-Network Service Provisioning. IEEE Trans. Netw. Serv. Manag. Cyril Shih-Huan Hsu, Jorge Martín-Pérez, Danny De Vleeschauwer, Luca Valcarenghi, Xi Li, Chrysa Papagianni
2025	—	`conf`	LLM-based Optimization Algorithm Selection for High-Performance Networks Orchestration. SC Workshops Anestis Dalgkitsis, Cyril Shih-Huan Hsu, Chrysa Papagianni, Paola Grosso, Cees de Laat
2025	—	`conf`	Online SLA Decomposition: Enabling Real-Time Adaptation to Evolving Network Systems. EuCNC/6G Summit Cyril Shih-Huan Hsu, Chrysa Papagianni, Paola Grosso, Danny De Vleeschauwer
2025	C	`conf`	RAILS: Risk-Aware Iterated Local Search for Joint SLA Decomposition and Service Provider Management in Multi-Domain Networks. HPSR Cyril Shih-Huan Hsu, Chrysa Papagianni, Paola Grosso
2025	J	`jnl`	RAILS: Risk-Aware Iterated Local Search for Joint SLA Decomposition and Service Provider Management in Multi-Domain Networks. CoRR Cyril Shih-Huan Hsu, Chrysa Papagianni, Paola Grosso
2025	J	`jnl`	Transformer-Empowered Actor-Critic Reinforcement Learning for Sequence-Aware Service Function Chain Partitioning. CoRR Cyril Shih-Huan Hsu, Anestis Dalgkitsis, Chrysa Papagianni, Paola Grosso
2024	J	`jnl`	Online SLA Decomposition: Enabling Real-Time Adaptation to Evolving Systems. CoRR Cyril Shih-Huan Hsu, Danny De Vleeschauwer, Chrysa Papagianni
2024	J	`jnl`	SLA Decomposition for Network Slicing: A Deep Neural Network Approach. CoRR Cyril Shih-Huan Hsu, Danny De Vleeschauwer, Chrysa Papagianni
2023	J	`jnl`	A Deep RL Approach on Task Placement and Scaling of Edge Resources for Cellular Vehicle-to-Network Service Provisioning. CoRR Cyril Shih-Huan Hsu, Jorge Martín-Pérez, Danny De Vleeschauwer, Koteswararao Kondepu, Luca Valcarenghi, Xi Li, Chrysa Papagianni
2023	J	`jnl`	SLA Decomposition for Network Slicing: A Deep Neural Network Approach. IEEE Netw. Lett. Cyril Shih-Huan Hsu, Danny De Vleeschauwer, Chrysa Papagianni
2023	B	`conf`	V2N Service Scaling with Deep Reinforcement Learning. NOMS Cyril Shih-Huan Hsu, Jorge Martín-Pérez, Chrysa Papagianni, Paola Grosso
2023	J	`jnl`	V2N Service Scaling with Deep Reinforcement Learning. CoRR Cyril Shih-Huan Hsu, Jorge Martín-Pérez, Chrysa Papagianni, Paola Grosso