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Yoshitomo Matsubara

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

12

Venues

10

Active years

2016–2025

Best venue rank

A*

Where they publish

Papers

12 indexed papers, newest first.

YearVenueTitleAuthors
2025WACVA Multi-Task Supervised Compression Model for Split Computing.Yoshitomo Matsubara, Matteo Mendula, Marco Levorato
2023ACLCross-Lingual Knowledge Distillation for Answer Sentence Selection in Low-Resource Languages.Shivanshu Gupta, Yoshitomo Matsubara, Ankit Chadha, Alessandro Moschitti
2023ICDCSSplitBeam: Effective and Efficient Beamforming in Wi-Fi Networks Through Split Computing.Niloofar Bahadori, Yoshitomo Matsubara, Marco Levorato, Francesco Restuccia
2022EMNLPEnsemble Transformer for Efficient and Accurate Ranking Tasks: an Application to Question Answering Systems.Yoshitomo Matsubara, Luca Soldaini, Eric Lind, Alessandro Moschitti
2022WACVSupervised Compression for Resource-Constrained Edge Computing Systems.Yoshitomo Matsubara, Ruihan Yang, Marco Levorato, Stephan Mandt
2022WoWMoMBottleFit: Learning Compressed Representations in Deep Neural Networks for Effective and Efficient Split Computing.Yoshitomo Matsubara, Davide Callegaro, Sameer Singh, Marco Levorato, Francesco Restuccia
2020EMNLPCOVIDLies: Detecting COVID-19 Misinformation on Social Media.Tamanna Hossain, Robert L. Logan IV, Arjuna Ugarte, Yoshitomo Matsubara, Sean Young, Sameer Singh
2020GLOBECOMOptimal Task Allocation for Time-Varying Edge Computing Systems with Split DNNs.Davide Callegaro, Yoshitomo Matsubara, Marco Levorato
2020ICPRNeural Compression and Filtering for Edge-assisted Real-time Object Detection in Challenged Networks.Yoshitomo Matsubara, Marco Levorato
2020SIGIRReranking for Efficient Transformer-based Answer Selection.Yoshitomo Matsubara, Thuy Vu, Alessandro Moschitti
2019MOBICOMDistilled Split Deep Neural Networks for Edge-Assisted Real-Time Systems.Yoshitomo Matsubara, Sabur Baidya, Davide Callegaro, Marco Levorato, Sameer Singh
2016ICMLAScreen Unlocking by Spontaneous Flick Reactions with One-Class Classification Approaches.Yoshitomo Matsubara, Haruhiko Nishimura, Toshiharu Samura, Hiroyuki Yoshimoto, Ryohei Tanimoto