selected publications

(*- equal contribution)


Fangyu Liu, Ivan Vulić, Anna Korhonen, Nigel Collier.
Fast, Effective and Self-Supervised: Transforming Masked Language Models into Universal Lexical and Sentence Encoders.
arxiv preprint, April 2021.
[PDF] [arXiv]

conferences / workshops

Fangyu Liu, Ivan Vulić, Anna Korhonen, Nigel Collier.
Learning Domain-Specialised Representations for Cross-Lingual Biomedical Entity Linking.
The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (ACL-IJCNLP 2021), August 2021.
[PDF] [code] [model]

Fangyu Liu, Ehsan Shareghi, Zaiqiao Meng, Marco Basaldella, Nigel Collier.
Self-Alignment Pretraining for Biomedical Entity Representations.
2021 Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL 2021), June 2021.
(Also presented at) NeurIPS 2020 Workshop: Self-Supervised Learning - Theory and Practice, December 2020.
[arXiv] [code] [model] [slides] [poster]

Fangyu Liu, Muhao Chen, Dan Roth, Nigel Collier.
Visual Pivoting for (Unsupervised) Entity Alignment.
The 35th AAAI Conference on Artificial Intelligence (AAAI 2021), February 2021.
[arXiv] [code] [slides]

Marco Basaldella*, Fangyu Liu*, Ehsan Shareghi, Nigel Collier.
COMETA: A Corpus for Medical Entity Linking in the Social Media.
The 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP 2020), November 2020.
[ACL Anthology] [arXiv] [website] [code] [model] [bibtex]

Fangyu Liu*, Rongtian Ye*, Xun Wang*, Shuaipeng Li.
HAL: Improved Text-Image Matching by Mitigating Visual Semantic Hubs.
The 34th AAAI Conference on Artificial Intelligence (AAAI 2020), February 2020.
[AAAI Archives] [arXiv] [code] [poster] [bibtex]

Fangyu Liu, Rongtian Ye.
A Strong and Robust Baseline for Text-Image Matching.
ACL 2019 Student Research Workshop (ACL 2020 SRW), August 2019.
[ACL Anthology] [arXiv] [bibtex]

Fangyu Liu, Rémi Lebret, Karl Aberer.
Visually Grounded Cross-Lingual Transfer Learning.
NAACL 2019 Workshop on Shortcomings in Vision and Language, June 2019.
[PDF] [poster]

C.-H. Huck Yang, Jia-Hong Huang, Fangyu Liu, Fang-Yi Chiu, Mengya Gao, Weifeng Lyu, I-Hung Lin, Jesper Tegner.
A Novel Hybrid Machine Learning Model for Auto-Classification of Retinal Diseases.
ICML 2018 Workshop on Computational Biology, July 2018.

Fangyu Liu*, Shuaipeng Li*, Liqiang Zhang, Chenghu Zhou, Rongtian Ye, Yuebin Wang, Jiwen Lu.
3DCNN-DQN-RNN: A Deep Reinforcement Learning Framework for Semantic Parsing of Large-scale 3D Point Clouds.
The 2017 IEEE International Conference on Computer Vision (ICCV 2017), October 2017.
[CVF openaccess] [poster] [slides] [bibtex]


Fangyu Liu, Rémi Lebret, Didier Orel, Philippe Sordet, Karl Aberer.
Upgrading the Newsroom: An Automated Image Selection System for News Articles.
ACM Transactions on Multimedia Computing Communications and Applications (ACM TOMM), Vol. 16, Issue 3, July 2020.
[ACM Digital Library] [arXiv] [slides] [demo] [bibtex]

Zhuqiang Li, Liqiang Zhang, P. Takis Mathiopoulos, Fangyu Liu, Liang Zhang, Shuaipeng Li, Hao Liu.
A hierarchical methodology for urban facade parsing from TLS point clouds.
ISPRS Journal of Photogrammetry and Remote Sensing (P&RS), Volume 123, January 2017.