Xudong Hong (PhD Student)
MSc Xudong Hong
- Address
- Max-Planck-Institut für Informatik
Saarland Informatics Campus
Campus E1 4
66123 Saarbrücken - Location
- E1 4 - 616
- Phone
- +49 681 9325 2116
- Fax
- +49 681 9325 2000
- Get email via email
Personal Information
I am working in C7 2, 2.02 from Monday to Thursday. My another address is:
Department of Language Science and Technology | Saarland University | Germany
Saarland Informatics Campus C7.2 / room 2.02 D-66123 Saarbruecken
Tel.: +49 681 302 70020
Email: xhong@coli.uni-saarland.de
Research Interests
Natural Language Processing: event modeling; commonsense inference; pragmatics
Computer Vision: visual event recognition; multimodal representation
Machine Learning: transfer learning;
Publication
Publications
Cao, H., Hong, X., Tost, H., Meyer-Lindenberg, A., & Schwarz, E. (2022). Advancing Translational Research in Neuroscience through Multi-task Learning. Frontiers in Psychiatry, 13. doi:10.3389/fpsyt.2022.993289
Export
BibTeX
@article{Cao22,
TITLE = {Advancing Translational Research in Neuroscience through Multi-task Learning},
AUTHOR = {Cao, Han and Hong, Xudong and Tost, Heike and Meyer-Lindenberg, Andreas and Schwarz, Emanuel},
LANGUAGE = {eng},
ISSN = {1664-0640},
DOI = {10.3389/fpsyt.2022.993289},
PUBLISHER = {Frontiers Research Foundation},
ADDRESS = {Lausanne, Switzerland},
YEAR = {2022},
MARGINALMARK = {$\bullet$},
JOURNAL = {Frontiers in Psychiatry},
VOLUME = {13},
EID = {993289},
}
Endnote
%0 Journal Article
%A Cao, Han
%A Hong, Xudong
%A Tost, Heike
%A Meyer-Lindenberg, Andreas
%A Schwarz, Emanuel
%+ External Organizations
Computer Vision and Machine Learning, MPI for Informatics, Max Planck Society
External Organizations
External Organizations
External Organizations
%T Advancing Translational Research in Neuroscience through Multi-task Learning :
%G eng
%U http://hdl.handle.net/21.11116/0000-000B-B59F-6
%R 10.3389/fpsyt.2022.993289
%2 PMC9714033
%7 2022
%D 2022
%J Frontiers in Psychiatry
%O Front Psychiatry
%V 13
%Z sequence number: 993289
%I Frontiers Research Foundation
%C Lausanne, Switzerland
%@ false
Hong, X., Shetty, R., Sayeed, A., Mehra, K., Demberg, V., & Schiele, B. (2020). Diverse and Relevant Visual Storytelling with Scene Graph Embeddings. In Proceedings of the 24th Conference on Computational Natural Language Learning (CoNLL 2020). Online: ACL. doi:10.18653/v1/2020.conll-1.34
Export
BibTeX
@inproceedings{hong-etal-2020-diverse,
TITLE = {Diverse and Relevant Visual Storytelling with Scene Graph Embeddings},
AUTHOR = {Hong, Xudong and Shetty, Rakshith and Sayeed, Asad and Mehra, Khushboo and Demberg, Vera and Schiele, Bernt},
LANGUAGE = {eng},
ISBN = {978-1-952148-63-7},
DOI = {10.18653/v1/2020.conll-1.34},
PUBLISHER = {ACL},
YEAR = {2020},
BOOKTITLE = {Proceedings of the 24th Conference on Computational Natural Language Learning (CoNLL 2020)},
PAGES = {420--430},
ADDRESS = {Online},
}
Endnote
%0 Conference Proceedings
%A Hong, Xudong
%A Shetty, Rakshith
%A Sayeed, Asad
%A Mehra, Khushboo
%A Demberg, Vera
%A Schiele, Bernt
%+ Computer Vision and Machine Learning, MPI for Informatics, Max Planck Society
Computer Vision and Machine Learning, MPI for Informatics, Max Planck Society
External Organizations
External Organizations
External Organizations
Computer Vision and Machine Learning, MPI for Informatics, Max Planck Society
%T Diverse and Relevant Visual Storytelling with Scene Graph Embeddings :
%G eng
%U http://hdl.handle.net/21.11116/0000-0007-AE1B-8
%R 10.18653/v1/2020.conll-1.34
%D 2020
%B 24th Conference on Computational Natural Language Learning
%Z date of event: 2020-11-19 - 2020-11-20
%C Online
%B Proceedings of the 24th Conference on Computational Natural Language Learning
%P 420 - 430
%I ACL
%@ 978-1-952148-63-7
%U https://www.aclweb.org/anthology/2020.conll-1.34.pdf
Hong, X., Chang, E., & Demberg, V. (2019). Improving Language Generation from Feature-Rich Tree-Structured Data with Relational Graph Convolutional Encoders. In Multilingual Surface Realisation (MSR 2019). Hong Kong, China: ACL. doi:10.18653/v1/D19-6310
Export
BibTeX
@inproceedings{hong2019improving,
TITLE = {Improving Language Generation from Feature-Rich Tree-Structured Data with Relational Graph Convolutional Encoders},
AUTHOR = {Hong, Xudong and Chang, Ernie and Demberg, Vera},
LANGUAGE = {eng},
ISBN = {978-1-950737-76-5},
DOI = {10.18653/v1/D19-6310},
PUBLISHER = {ACL},
YEAR = {2019},
BOOKTITLE = {Multilingual Surface Realisation (MSR 2019)},
EDITOR = {Mille, Simon and Belz, Anja and Bohnet, Bernd and Graham, Yvette and Wanner, Leo},
PAGES = {75--80},
ADDRESS = {Hong Kong, China},
}
Endnote
%0 Conference Proceedings
%A Hong, Xudong
%A Chang, Ernie
%A Demberg, Vera
%+ Computer Vision and Machine Learning, MPI for Informatics, Max Planck Society
External Organizations
External Organizations
%T Improving Language Generation from Feature-Rich Tree-Structured Data with Relational Graph Convolutional Encoders :
%G eng
%U http://hdl.handle.net/21.11116/0000-0008-3265-E
%R 10.18653/v1/D19-6310
%D 2019
%B 2nd Workshop on Multilingual Surface Realisation
%Z date of event: 2019-11-03 - 2019-11-03
%C Hong Kong, China
%B Multilingual Surface Realisation
%E Mille, Simon; Belz, Anja; Bohnet, Bernd; Graham, Yvette; Wanner, Leo
%P 75 - 80
%I ACL
%@ 978-1-950737-76-5
%U https://www.aclweb.org/anthology/D19-6310