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David Pujol-Perich
PhD student, Universitat de Barcelona
Joined
November 2022
Names
David Pujol-Perich
(Preferred)
,
David Pujol Perich
Emails
****@gmail.com
(Confirmed)
,
****@ub.edu
(Confirmed)
Personal Links
Homepage
Google Scholar
DBLP
ORCID
LinkedIn
Career & Education History
PhD student
Universitat de Barcelona
(ub.edu)
2022
–
Present
MS student
Universidad Politécnica de Cataluna
(upc.edu)
2020
–
2022
Undergrad student
Universidad Politécnica de Cataluna
(upc.edu)
2016
–
2020
Advisors, Relations & Conflicts
PhD Advisor
Sergio Escalera Guerrero
2022
–
Present
PhD Advisor
Albert Clapés
2022
–
Present
Expertise
computer vision
,
multimodality
,
moment grounding
2023
–
Present
computer vision
,
deep learning
,
temporal action localization
2022
–
Present
computer vision
,
domain adaptation
2022
–
Present
deep learning
,
attention mechanisms
,
transformers
2021
–
Present
deep learning
,
graph neural networks
2019
–
2021
Publications
Unveiling the potential of Graph Neural Networks for robust Intrusion Detection
David Pujol-Perich
,
José Suárez-Varela
,
Albert Cabellos-Aparicio
,
Pere Barlet-Ros
2022 (modified: 09 Nov 2022)
SIGMETRICS Perform. Evaluation Rev. 2022
Readers:
Everyone
IGNNITION: fast prototyping of graph neural networks for communication networks
David Pujol-Perich
,
José Suárez-Varela
,
Miquel Ferriol Galmés
,
Bo Wu
,
Shihan Xiao
,
Xiangle Cheng
,
Albert Cabellos-Aparicio
,
Pere Barlet-Ros
2021 (modified: 09 Nov 2022)
SIGCOMM Posters and Demos 2021
Readers:
Everyone
The Graph Neural Networking Challenge: A Worldwide Competition for Education in AI/ML for Networks
José Suárez-Varela
,
Miquel Ferriol Galmés
,
Albert Lopez
,
Paul Almasan
,
Guillermo Bernárdez
,
David Pujol-Perich
,
Krzysztof Rusek
,
Loïck Bonniot
,
Christoph Neumann
,
François Schnitzler
,
François Taïani
,
Martin Happ
,
Christian Maier
,
Jia Lei Du
,
Matthias Herlich
,
Peter Dorfinger
,
Nick Vincent Hainke
,
Stefan Venz
,
Johannes Wegener
,
Henrike Wissing
et al. (4 additional authors not shown)
2021 (modified: 09 Nov 2022)
CoRR 2021
Readers:
Everyone
IGNNITION: Bridging the Gap between Graph Neural Networks and Networking Systems
David Pujol-Perich
,
José Suárez-Varela
,
Miquel Ferriol
,
Shihan Xiao
,
Bo Wu
,
Albert Cabellos-Aparicio
,
Pere Barlet-Ros
2021 (modified: 09 Nov 2022)
IEEE Netw. 2021
Readers:
Everyone
The graph neural networking challenge: a worldwide competition for education in AI/ML for networks
José Suárez-Varela
,
Miquel Ferriol Galmés
,
Albert Lopez
,
Paul Almasan
,
Guillermo Bernárdez
,
David Pujol-Perich
,
Krzysztof Rusek
,
Loïck Bonniot
,
Christoph Neumann
,
François Schnitzler
,
François Taïani
,
Martin Happ
,
Christian Maier
,
Jia Lei Du
,
Matthias Herlich
,
Peter Dorfinger
,
Nick Vincent Hainke
,
Stefan Venz
,
Johannes Wegener
,
Henrike Wissing
et al. (4 additional authors not shown)
2021 (modified: 09 Nov 2022)
Comput. Commun. Rev. 2021
Readers:
Everyone
IGNNITION: Bridging the Gap Between Graph Neural Networks and Networking Systems
David Pujol-Perich
,
José Suárez-Varela
,
Miquel Ferriol
,
Shihan Xiao
,
Bo Wu
,
Albert Cabellos-Aparicio
,
Pere Barlet-Ros
2021 (modified: 09 Nov 2022)
CoRR 2021
Readers:
Everyone
Unveiling the potential of Graph Neural Networks for robust Intrusion Detection
David Pujol-Perich
,
José Suárez-Varela
,
Albert Cabellos-Aparicio
,
Pere Barlet-Ros
2021 (modified: 09 Nov 2022)
CoRR 2021
Readers:
Everyone
Co-Authors
Albert Cabellos-Aparicio
Albert Lopez
Bo Wu
Christian Maier
Christoph Neumann
François Schnitzler
François Taïani
Guillermo Bernárdez
Henrike Wissing
Jia Lei Du
Johannes Wegener
José Suárez-Varela
Krzysztof Rusek
Loïck Bonniot
Martin Happ
Matthias Herlich
Miquel Ferriol
Miquel Ferriol Galmés
Nick Vincent Hainke
Paul Almasan
Pere Barlet-Ros
Peter Dorfinger
Shihan Xiao
Stefan Venz
Xiangle Cheng