Fangyu Liu

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Nigel CollierProfessor of Natural Language Processing, University of CambridgeVerified email at cam.ac.uk
Rongtian YePhD student, Aalto UniversityVerified email at aalto.fi
Zaiqiao MengUniversity of Cambridge, University of Glasgow, Sun Yat-sen UniversityVerified email at cam.ac.uk
Ivan VulićSenior Research Associate, University of Cambridge & PolyAIVerified email at cam.ac.uk
Anna KorhonenProfessor, Computer Science and Linguistics, University of CambridgeVerified email at cam.ac.uk
Muhao ChenAssistant Research Professor of Computer Science, USCVerified email at ucla.edu
Marco BasaldellaAmazonVerified email at amazon.co.uk
Emanuele BugliarelloPhD Fellow, University of CopenhagenVerified email at di.ku.dk
Edoardo M. PontiUniversity of Edinburgh / University of CambridgeVerified email at ed.ac.uk
Desmond ElliottAssistant Professor, University of CopenhagenVerified email at di.ku.dk
Siva ReddyAssistant Professor, Computer Science and Linguistics, McGill University, MilaVerified email at cs.mcgill.ca
Wenxuan ZhouUniversity of Southern CaliforniaVerified email at usc.edu
Xun WangKuaishou Tech IncVerified email at kuaishou.com
Yixuan SuUniversity of CambridgeVerified email at cam.ac.uk
Dan RothProfessor of Computer Science, University of PennsylvaniaVerified email at seas.upenn.edu
Thomas ClarkPhD Student, MITVerified email at mit.edu
Rémi LebretResearch Scientist, EPFLVerified email at epfl.ch
Karl AbererProfessor of Computer and Communication Sciences, EPFLVerified email at epfl.ch
Jonas PfeifferNew York University, Technical University of DarmstadtVerified email at nyu.edu
Lei Shu (舒蕾)Google ResearchVerified email at google.com

Fangyu Liu

PhD student, University of Cambridge

Verified email at cam.ac.uk - Homepage

Natural Language Processing Artificial Intelligence Machine Learning


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
3DCNN-DQN-RNN: A Deep Reinforcement Learning Framework for Semantic Parsing of Large-scale 3D Point Clouds F Liu, S Li, L Zhang, C Zhou, R Ye, Y Wang, J Lu ICCV 2017, 2017	101	2017
Self-Alignment Pretraining for Biomedical Entity Representations F Liu, E Shareghi, Z Meng, M Basaldella, N Collier NAACL 2021, 2021	57	2021
Large-scale urban point cloud labeling and reconstruction L Zhang, Z Li, A Li, F Liu ISPRS Journal of Photogrammetry and Remote Sensing 138, 86-100, 2018	55	2018
A hierarchical methodology for urban facade parsing from TLS point clouds Z Li, L Zhang, PT Mathiopoulos, F Liu, L Zhang, S Li, H Liu ISPRS Journal of Photogrammetry and Remote Sensing 123, 75-93, 2017	36	2017
Fast, Effective, and Self-Supervised: Transforming Masked Language Models into Universal Lexical and Sentence Encoders F Liu, I Vulić, A Korhonen, N Collier EMNLP 2021, 2021	29	2021
3D Depthwise Convolution: Reducing Model Parameters in 3D Vision Tasks R Ye, F Liu, L Zhang Lecture Notes in Computer Science: Advances in Artificial Intelligence 11489 …, 2019	29	2019
COMETA: A Corpus for Medical Entity Linking in the Social Media M Basaldella, F Liu, E Shareghi, N Collier EMNLP 2020, 2020	23	2020
Visually Grounded Reasoning across Languages and Cultures F Liu, E Bugliarello, EM Ponti, S Reddy, N Collier, D Elliott EMNLP 2021, 2021	21	2021
Visual Pivoting for (Unsupervised) Entity Alignment F Liu, M Chen, D Roth, N Collier AAAI 2021, 2021	21	2021
HAL: Improved Text-Image Matching by Mitigating Visual Semantic Hubs F Liu, R Ye, X Wang*, S Li AAAI 2020, 2020	21	2020
A Novel Hybrid Machine Learning Model for Auto-Classification of Retinal Diseases CHH Yang, JH Huang, F Liu, FY Chiu, M Gao, W Lyu, J Tegner Workshop on Computational Biology, ICML 2018, 2018	18	2018
DeepOpht: Medical Report Generation for Retinal Images via Deep Models and Visual Explanation JH Huang, CHH Yang, F Liu, M Tian, YC Liu, TW Wu, I Lin, K Wang, ... WACV 2021, 2021	17	2021
Joint discriminative dictionary and classifier learning for ALS point cloud classification Z Zhang, L Zhang, Y Tan, L Zhang, F Liu, R Zhong IEEE Transactions on Geoscience and Remote Sensing 56 (1), 524-538, 2017	12	2017
A Strong and Robust Baseline for Text-Image Matching F Liu, R Ye ACL 2019 Student Research Workshop, 2019	11	2019
Auto-Classification of Retinal Diseases in the Limit of Sparse Data Using a Two-Streams Machine Learning Model CHH Yang, F Liu, JH Huang, M Tian, YC Liu, I Lin, J Tegner AIRIA: AI for Retinal Image Analysis Workshop, ACCV 2018, 2018	11*	2018
Contrastive Out-of-Distribution Detection for Pretrained Transformers W Zhou, F Liu, M Chen EMNLP 2021, 2021	10	2021
TaCL: Improving BERT Pre-training with Token-aware Contrastive Learning Y Su, F Liu, Z Meng, L Shu, E Shareghi, N Collier Findings of NAACL 2022, 2022	8	2022
Projection learning with local and global consistency constraints for scene classification P Zhu, L Zhang, Y Wang, J Mei, G Zhou, F Liu, W Liu, PT Mathiopoulos ISPRS Journal of Photogrammetry and Remote Sensing 144, 202-216, 2018	8	2018
Mixture-of-Partitions: Infusing Large Biomedical Knowledge Graphs into BERT Z Meng, F Liu, TH Clark, E Shareghi, N Collier EMNLP 2021, 2021	7	2021
Learning Domain-Specialised Representations for Cross-Lingual Biomedical Entity Linking F Liu, I Vulic, A Korhonen, N Collier ACL-IJCNLP 2021, 2021	6	2021

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