LI, SHUYANG
LI, SHUYANG
Dipartimento di Elettronica e Telecomunicazioni
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Data-Driven Mobile Traffic Modelling in Cellular Networks
2024 Li, Shuyang
Deep learning based prediction of traffic peaks in mobile networks
2024 Li, Shuyang; Magli, Enrico; Francini, Gianluca; Ghinamo, Giorgio
Exploring Time Series Variability: A Training-Efficient Mobile Traffic Predictor
2024 Li, S.; Magli, E.; Francini, G.
TDANet: an efficient solution for short-term mobile traffic forecasting
2023 Li, Shuyang; Magli, Enrico; Francini, Gianluca
Temporal dynamics clustering for analyzing cell behavior in mobile networks
2023 Li, Shuyang; Francini, Gianluca; Magli, Enrico
To Be Conservative or To Be Aggressive? A Risk-Adaptive Mixture of Experts for Mobile Traffic Forecasting
2023 Li, Shuyang; Magli, Enrico; Francini, Gianluca
Multisensor IoT platform for optimising IAQ levels in buildings through a smart ventilation system
2019 Chiesa, G.; Cesari, Silvia; Garcia, M.; Issa, M.; Li, Shuyang
Citazione | Data di pubblicazione | Autori | File |
---|---|---|---|
Data-Driven Mobile Traffic Modelling in Cellular Networks / Li, Shuyang. - (2024 May 14), pp. 1-134. | 14-mag-2024 | LI, SHUYANG | pdfA_Scudo_PhD_Thesis.pdf; pdfA_abstract.pdf |
Deep learning based prediction of traffic peaks in mobile networks / Li, Shuyang; Magli, Enrico; Francini, Gianluca; Ghinamo, Giorgio. - In: COMPUTER NETWORKS. - ISSN 1389-1286. - STAMPA. - 240:(2024). [10.1016/j.comnet.2023.110167] | 1-gen-2024 | Li, ShuyangMagli, Enrico + | Elsevier Deep learning based prediction of traffic peaks in mobile networks.pdf; manuscript_Elsevier_CN.pdf |
Exploring Time Series Variability: A Training-Efficient Mobile Traffic Predictor / Li, S.; Magli, E.; Francini, G.. - ELETTRONICO. - (2024). (Intervento presentato al convegno 2024 IEEE Wireless Communications and Networking Conference tenutosi a Dubai (UAE) nel 21-24 April 2024) [10.1109/WCNC57260.2024.10570577]. | 1-gen-2024 | Li S.Magli E. + | Exploring_Time_Series_Variability_A_Training-Efficient_Mobile_Traffic_Predictor.pdf; GLOBECOM_2023 2.pdf |
TDANet: an efficient solution for short-term mobile traffic forecasting / Li, Shuyang; Magli, Enrico; Francini, Gianluca. - ELETTRONICO. - (2023), pp. 1-5. (Intervento presentato al convegno 2023 IEEE 97th Vehicular Technology Conference (VTC2023-Spring) tenutosi a Florence (Italy) nel 20-23 June 2023) [10.1109/VTC2023-Spring57618.2023.10199607]. | 1-gen-2023 | Li, ShuyangMagli, Enrico + | TDANet_An_Efficient_Solution_For_Short-Term_Mobile_Traffic_Forecasting.pdf; VTC2023_TDANet, An Efficient Solution For Short-Term Mobile Traffic Forecasting.pdf |
Temporal dynamics clustering for analyzing cell behavior in mobile networks / Li, Shuyang; Francini, Gianluca; Magli, Enrico. - In: COMPUTER NETWORKS. - ISSN 1389-1286. - ELETTRONICO. - 223:(2023), p. 109578. [10.1016/j.comnet.2023.109578] | 1-gen-2023 | Li, ShuyangMagli, Enrico + | 1-s2.0-S1389128623000233-main.pdf; TemporalDynamicClustering_compressed.pdf |
To Be Conservative or To Be Aggressive? A Risk-Adaptive Mixture of Experts for Mobile Traffic Forecasting / Li, Shuyang; Magli, Enrico; Francini, Gianluca. - ELETTRONICO. - (2023), pp. 5471-5476. (Intervento presentato al convegno 2023 International Conference on Communications tenutosi a Roma (Italy) nel 28 May 2023 - 01 June 2023) [10.1109/ICC45041.2023.10279534]. | 1-gen-2023 | Shuyang LiEnrico Magli + | ICC 2023_To Be Conservative or To Be Aggressive? A Risk-Adaptive Mixture of Experts for Mobile Traffic Forecasting.pdf; To_be_Conservative_or_to_be_Aggressive_A_Risk-Adaptive_Mixture_of_Experts_for_Mobile_Traffic_Forecasting.pdf |
Multisensor IoT platform for optimising IAQ levels in buildings through a smart ventilation system / Chiesa, G.; Cesari, Silvia; Garcia, M.; Issa, M.; Li, Shuyang. - In: SUSTAINABILITY. - ISSN 2071-1050. - ELETTRONICO. - 11:5777(2019), pp. 1-28. [10.3390/su11205777] | 1-gen-2019 | Chiesa G.CESARI, SILVIALI, SHUYANG + | sustainability-11-05777_optSmall.pdf |