XIE, CHEN

XIE, CHEN  

Dipartimento di Automatica e Informatica  

053971  

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Risultati 1 - 6 di 6 (tempo di esecuzione: 0.004 secondi).
Citazione Data di pubblicazione Autori File
ACME: An energy-efficient approximate bus encoding for I2C / Xie, Chen; Jahier Pagliari, Daniele; Calimera, Andrea; Macii, Enrico; Poncino, Massimo. - ELETTRONICO. - (2021), pp. 1-6. ((Intervento presentato al convegno 2021 IEEE/ACM International Symposium on Low Power Electronics and Design (ISLPED) tenutosi a Boston, MA, USA nel 26-28 July 2021 [10.1109/ISLPED52811.2021.9502495]. 1-gen-2021 Chen XieDaniele Jahier PagliariAndrea CalimeraEnrico MaciiMassimo Poncino ACME_an_Energy_efficinet_approximate_bus_encoding_for_I2C.pdfACME_An_Energy-Efficient_Approximate_Bus_Encoding_for_I2C.pdf
Adaptive Random Forests for Energy-Efficient Inference on Microcontrollers / Daghero, Francesco; Burrello, Alessio; Xie, Chen; Benini, Luca; Calimera, Andrea; Macii, Enrico; Poncino, Massimo; Jahier Pagliari, Daniele. - ELETTRONICO. - (2021), pp. 1-6. ((Intervento presentato al convegno 29th IFIP/IEEE International Conference on Very Large Scale Integration, VLSI-SoC 2021 tenutosi a Virtual Conference nel 2021 [10.1109/VLSI-SoC53125.2021.9606986]. 1-gen-2021 Daghero, FrancescoBurrello, AlessioXie, ChenBenini, LucaCalimera, AndreaMacii, EnricoPoncino, MassimoJahier Pagliari, Daniele Adaptive_Random_Forests_for_Energy-Efficient_Inference_on_Microcontrollers.pdfAdaptive_Random_Forests_for_Energy-Efficient_Inference_on_Microcontrollers-POSTPRINT.pdf.pdf
Energy-efficient and Privacy-aware Social Distance Monitoring with Low-resolution Infrared Sensors and Adaptive Inference / Xie, C.; JAHIER PAGLIARI, Daniele; Calimera, A.. - (2022), pp. 181-184. ((Intervento presentato al convegno 2022 17th Conference on Ph.D Research in Microelectronics and Electronics (PRIME) tenutosi a Villasimius, SU (Italy) nel 12-15 June 2022 [10.1109/PRIME55000.2022.9816801]. 1-gen-2022 Xie C.Jahier Pagliari DanieleCalimera A. Energy-efficient_and_Privacy-aware_Social_Distance_Monitoring_with_Low-resolution_Infrared_Sensors_and_Adaptive_Inference_arxiv.pdfEnergy-efficient_and_Privacy-aware_Social_Distance_Monitoring_with_Low-resolution_Infrared_Sensors_and_Adaptive_Inference.pdf
Human Activity Recognition on Microcontrollers with Quantized and Adaptive Deep Neural Networks / Daghero, Francesco; Burrello, Alessio; Xie, Chen; Castellano, Marco; Gandolfi, Luca; Calimera, Andrea; Macii, Enrico; Poncino, Massimo; Jahier Pagliari, Daniele. - In: ACM TRANSACTIONS ON EMBEDDED COMPUTING SYSTEMS. - ISSN 1539-9087. - ELETTRONICO. - 21:4(2022), pp. 1-28. [10.1145/3542819] 1-gen-2022 Daghero, FrancescoBurrello, AlessioXie, ChenCalimera, AndreaMacii, EnricoPoncino, MassimoJahier Pagliari, Daniele + Human-Activity-Recognition-on-Microcontrollers-with-Quantized-and-Adaptive-Deep-Neural-Networks-POSTPRINT.pdfHuman-Activity-Recognition-on-Microcontrollers-with-Quantized-and-Adaptive-Deep-Neural-Networks.pdf
Privacy-preserving Social Distance Monitoring on Microcontrollers with Low-Resolution Infrared Sensors and CNNs / Xie, Chen; Daghero, Francesco; Chen, Yukai; Castellano, Marco; Gandolfi, Luca; Calimera, Andrea; Macii, Enrico; Poncino, Massimo; JAHIER PAGLIARI, Daniele. - (2022). ((Intervento presentato al convegno 2022 IEEE International Symposium on Circuits and Systems (ISCAS). 1-gen-2022 Chen XieFrancesco DagheroYukai ChenAndrea CalimeraEnrico MaciiMassimo PoncinoDaniele Jahier Pagliari + Privacy-preserving_Social_Distance_Monitoring_arxiv.pdf
Ultra-compact binary neural networks for human activity recognition on RISC-V processors / Daghero, F.; Xie, C.; Jahier Pagliari, D.; Burrello, A.; Castellano, M.; Gandolfi, L.; Calimera, A.; Macii, E.; Poncino, M.. - ELETTRONICO. - (2021), pp. 3-11. ((Intervento presentato al convegno 18th ACM International Conference on Computing Frontiers 2021, CF 2021 tenutosi a Virtual conference nel 2021 [10.1145/3457388.3458656]. 1-gen-2021 Daghero F.Xie C.Jahier Pagliari D.Burrello A.Calimera A.MacIi E.Poncino M. + BNN_CF-post-print.pdfDaghero et al. - 2021 - Ultra-Compact Binary Neural Networks for Human Activity Recognition on RISC-V Processors.pdf