3DCNN-DQN-RNN: A Deep Reinforcement Learning Framework for Semantic Parsing of Large-Scale 3D Point Clouds. - Fangyu Liu 001; Shuaipeng Li; Liqiang Zhang 001; Chenghu Zhou; Rongtian Ye; Yuebin Wang; Jiwen Lu (ICCV, 2017)

Auto-classification of Retinal Diseases in the Limit of Sparse Data Using a Two-Streams Machine Learning Model. - Chao-Han Huck Yang; Fangyu Liu 001; Jia-Hong Huang; Meng Tian 002; I-Hung Lin; Yi-Chieh Liu; Hiromasa Morikawa; Hao-Hsiang Yang; Jesper Tegnér (ACCV Workshops, 2018)

A Novel Hybrid Machine Learning Model for Auto-Classification of Retinal Diseases. - Chao-Han Huck Yang; Jia-Hong Huang; Fangyu Liu 001; Fang-Yi Chiu; Mengya Gao; Weifeng Lyu; I-Hung Lin; Jesper Tegnér (CoRR, 2018)

Auto-Classification of Retinal Diseases in the Limit of Sparse Data Using a Two-Streams Machine Learning Model. - Chao-Han Huck Yang; Fangyu Liu 001; Jia-Hong Huang; Meng Tian 002; Yi-Chieh Liu; I-Hung Lin; Jesper Tegnér (CoRR, 2018)

Joint Discriminative Dictionary and Classifier Learning for ALS Point Cloud Classification. - Zhenxin Zhang; Liqiang Zhang 001; Yumin Tan; Liang Zhang 023; Fangyu Liu 001; Ruofei Zhong (IEEE Trans. Geosci. Remote. Sens., 2018)

A Strong and Robust Baseline for Text-Image Matching. - Fangyu Liu 001; Rongtian Ye (ACL (2), 2019)

3D Depthwise Convolution: Reducing Model Parameters in 3D Vision Tasks. - Rongtian Ye; Fangyu Liu 001; Liqiang Zhang 001 (Canadian AI, 2019)

HAL: Improved Text-Image Matching by Mitigating Visual Semantic Hubs. - Fangyu Liu 001; Rongtian Ye; Xun Wang; Shuaipeng Li (AAAI, 2020)

COMETA: A Corpus for Medical Entity Linking in the Social Media. - Marco Basaldella; Fangyu Liu 001; Ehsan Shareghi; Nigel Collier (EMNLP (1), 2020)

Self-alignment Pre-training for Biomedical Entity Representations. - Fangyu Liu 001; Ehsan Shareghi; Zaiqiao Meng; Marco Basaldella; Nigel Collier (CoRR, 2020)

Upgrading the Newsroom: An Automated Image Selection System for News Articles. - Fangyu Liu 001; Rémi Lebret; Didier Orel; Philippe Sordet; Karl Aberer (ACM Trans. Multim. Comput. Commun. Appl., 2020)

Visual Pivoting for (Unsupervised) Entity Alignment. - Fangyu Liu 001; Muhao Chen 001; Dan Roth 001; Nigel Collier (AAAI, 2021)

Learning Domain-Specialised Representations for Cross-Lingual Biomedical Entity Linking. - Fangyu Liu 001; Ivan Vulic; Anna Korhonen; Nigel Collier (ACL/IJCNLP (2), 2021)

Integrating Transformers and Knowledge Graphs for Twitter Stance Detection. - Thomas Hikaru Clark; Costanza Conforti; Fangyu Liu 001; Zaiqiao Meng; Ehsan Shareghi; Nigel Collier (W-NUT, 2021)

MirrorWiC: On Eliciting Word-in-Context Representations from Pretrained Language Models. - Qianchu Liu; Fangyu Liu 001; Nigel Collier; Anna Korhonen; Ivan Vulic (CoNLL, 2021)

Visually Grounded Reasoning across Languages and Cultures. - Fangyu Liu 001; Emanuele Bugliarello; Edoardo Maria Ponti; Siva Reddy; Nigel Collier; Desmond Elliott (EMNLP (1), 2021)

Fast, Effective, and Self-Supervised: Transforming Masked Language Models into Universal Lexical and Sentence Encoders. - Fangyu Liu 001; Ivan Vulic; Anna Korhonen; Nigel Collier (EMNLP (1), 2021)

Mixture-of-Partitions: Infusing Large Biomedical Knowledge Graphs into BERT. - Zaiqiao Meng; Fangyu Liu 001; Thomas Hikaru Clark; Ehsan Shareghi; Nigel Collier (EMNLP (1), 2021)

Contrastive Out-of-Distribution Detection for Pretrained Transformers. - Wenxuan Zhou; Fangyu Liu 001; Muhao Chen 001 (EMNLP (1), 2021)

Self-Alignment Pretraining for Biomedical Entity Representations. - Fangyu Liu 001; Ehsan Shareghi; Zaiqiao Meng; Marco Basaldella; Nigel Collier (NAACL-HLT, 2021)

DeepOpht: Medical Report Generation for Retinal Images via Deep Models and Visual Explanation. - Jia-Hong Huang; Chao-Han Huck Yang; Fangyu Liu 001; Meng Tian 002; Yi-Chieh Liu; Ting-Wei Wu; I-Hung Lin; Kang Wang; Hiromasa Morikawa; Hernghua Chang; Jesper Tegnér; Marcel Worring (WACV, 2021)

Fast, Effective and Self-Supervised: Transforming Masked LanguageModels into Universal Lexical and Sentence Encoders. - Fangyu Liu 001; Ivan Vulic; Anna Korhonen; Nigel Collier (CoRR, 2021)

TaCL: Improving BERT Pre-training with Token-aware Contrastive Learning. - Yixuan Su; Fangyu Liu 001; Zaiqiao Meng; Lei Shu 004; Ehsan Shareghi; Nigel Collier (CoRR, 2021)

Fine-Grained Controllable Text Generation Using Non-Residual Prompting. - Fredrik Carlsson; Joey Öhman; Fangyu Liu 001; Severine Verlinden; Joakim Nivre; Magnus Sahlgren (ACL (1), 2022)

Improving Word Translation via Two-Stage Contrastive Learning. - Yaoyiran Li; Fangyu Liu 001; Nigel Collier; Anna Korhonen; Ivan Vulic (ACL (1), 2022)

Rewire-then-Probe: A Contrastive Recipe for Probing Biomedical Knowledge of Pre-trained Language Models. - Zaiqiao Meng; Fangyu Liu 001; Ehsan Shareghi; Yixuan Su; Charlotte Collins; Nigel Collier (ACL (1), 2022)

Prix-LM: Pretraining for Multilingual Knowledge Base Construction. - Wenxuan Zhou; Fangyu Liu 001; Ivan Vulic; Nigel Collier; Muhao Chen 001 (ACL (1), 2022)

Revisiting Parameter-Efficient Tuning: Are We Really There Yet? - Guanzheng Chen; Fangyu Liu 001; Zaiqiao Meng; Shangsong Liang (EMNLP, 2022)

Improving Bilingual Lexicon Induction with Cross-Encoder Reranking. - Yaoyiran Li; Fangyu Liu 001; Ivan Vulic; Anna Korhonen (EMNLP (Findings), 2022)

Sharpness-Aware Minimization with Dynamic Reweighting. - Wenxuan Zhou; Fangyu Liu 001; Huan Zhang; Muhao Chen 001 (EMNLP (Findings), 2022)

Trans-Encoder: Unsupervised sentence-pair modelling through self- and mutual-distillations. - Fangyu Liu 001; Yunlong Jiao; Jordan Massiah; Emine Yilmaz; Serhii Havrylov (ICLR, 2022)

IGLUE: A Benchmark for Transfer Learning across Modalities, Tasks, and Languages. - Emanuele Bugliarello; Fangyu Liu 001; Jonas Pfeiffer; Siva Reddy; Desmond Elliott; Edoardo Maria Ponti; Ivan Vulic (ICML, 2022)

How to tackle an emerging topic? Combining strong and weak labels for Covid news NER. - Aleksander Ficek; Fangyu Liu 001; Nigel Collier (AACL/IJCNLP (2), 2022)

Do ever larger octopi still amplify reporting biases? Evidence from judgments of typical colour. - Fangyu Liu 001; Julian Martin Eisenschlos; Jeremy R. Cole; Nigel Collier (AACL/IJCNLP (2), 2022)

TaCL: Improving BERT Pre-training with Token-aware Contrastive Learning. - Yixuan Su; Fangyu Liu 001; Zaiqiao Meng; Tian Lan 003; Lei Shu 004; Ehsan Shareghi; Nigel Collier (NAACL-HLT (Findings), 2022)

Modality-Balanced Embedding for Video Retrieval. - Xun Wang; Bingqing Ke; Xuanping Li; Fangyu Liu 001; Mingyu Zhang; Xiao Liang; Qiushi Xiao (SIGIR, 2022)

Modality-Balanced Embedding for Video Retrieval. - Xun Wang; Bingqing Ke; Xuanping Li; Fangyu Liu 001; Mingyu Zhang; Xiao Liang; Qiushi Xiao; Yue Yu (CoRR, 2022)

Exposing Cross-Lingual Lexical Knowledge from Multilingual Sentence Encoders. - Ivan Vulic; Goran Glavas; Fangyu Liu 001; Nigel Collier; Edoardo Maria Ponti; Anna Korhonen (CoRR, 2022)

Language Models Can See: Plugging Visual Controls in Text Generation. - Yixuan Su; Tian Lan 003; Yahui Liu; Fangyu Liu 001; Dani Yogatama; Yan Wang 060; Lingpeng Kong; Nigel Collier (CoRR, 2022)

On Reality and the Limits of Language Data. - Nigel H. Collier; Fangyu Liu 001; Ehsan Shareghi (CoRR, 2022)

DePlot: One-shot visual language reasoning by plot-to-table translation. - Fangyu Liu 001; Julian Martin Eisenschlos; Francesco Piccinno; Syrine Krichene; Chenxi Pang; Kenton Lee; Mandar Joshi; Wenhu Chen; Nigel Collier; Yasemin Altun (ACL (Findings), 2023)

MatCha: Enhancing Visual Language Pretraining with Math Reasoning and Chart Derendering. - Fangyu Liu 001; Francesco Piccinno; Syrine Krichene; Chenxi Pang; Kenton Lee; Mandar Joshi; Yasemin Altun; Nigel Collier; Julian Martin Eisenschlos (ACL (1), 2023)

On Reality and the Limits of Language Data: Aligning LLMs with Human Norms. - Nigel Collier; Fangyu Liu 001; Ehsan Shareghi (CogSci, 2023)

WinoDict: Probing language models for in-context word acquisition. - Julian Martin Eisenschlos; Jeremy R. Cole; Fangyu Liu 001; William W. Cohen (EACL, 2023)

Probing Cross-Lingual Lexical Knowledge from Multilingual Sentence Encoders. - Ivan Vulic; Goran Glavas; Fangyu Liu 001; Nigel Collier; Edoardo Maria Ponti; Anna Korhonen (EACL, 2023)

POSQA: Probe the World Models of LLMs with Size Comparisons. - Chang Shu; Jiuzhou Han; Fangyu Liu 001; Ehsan Shareghi; Nigel Collier (EMNLP (Findings), 2023)

Pix2Struct: Screenshot Parsing as Pretraining for Visual Language Understanding. - Kenton Lee; Mandar Joshi; Iulia Raluca Turc; Hexiang Hu; Fangyu Liu 001; Julian Martin Eisenschlos; Urvashi Khandelwal; Peter Shaw 004; Ming-Wei Chang; Kristina Toutanova (ICML, 2023)

Sparkles: Unlocking Chats Across Multiple Images for Multimodal Instruction-Following Models. - Yupan Huang; Zaiqiao Meng; Fangyu Liu 001; Yixuan Su; Nigel Collier; Yutong Lu (CoRR, 2023)

Visual Spatial Reasoning. - Fangyu Liu 001; Guy Emerson; Nigel Collier (Trans. Assoc. Comput. Linguistics, 2023)

Compositional Zero-Shot Domain Transfer with Text-to-Text Models. - Fangyu Liu 001; Qianchu Liu; Shruthi Bannur; Fernando Pérez-García; Naoto Usuyama; Sheng Zhang 012; Tristan Naumann; Aditya V. Nori; Hoifung Poon; Javier Alvarez-Valle; Ozan Oktay; Stephanie L. Hyland (Trans. Assoc. Comput. Linguistics, 2023)

Faithful Chart Summarization with ChaTS-Pi. - Syrine Krichene; Francesco Piccinno; Fangyu Liu 001; Julian Eisenschlos (ACL (1), 2024)

Reranking Overgenerated Responses for End-to-End Task-Oriented Dialogue Systems. - Songbo Hu; Ivan Vulic; Fangyu Liu 001; Anna Korhonen (LREC/COLING, 2024)

On-the-fly Denoising for Data Augmentation in Natural Language Understanding. - Tianqing Fang; Wenxuan Zhou; Fangyu Liu 001; Hongming Zhang 009; Yangqiu Song; Muhao Chen 001 (EACL (Findings), 2024)

LUQ: Long-text Uncertainty Quantification for LLMs. - Caiqi Zhang; Fangyu Liu 001; Marco Basaldella; Nigel Collier (EMNLP, 2024)

PaliGemma: A versatile 3B VLM for transfer. - Lucas Beyer; Andreas Steiner 001; André Susano Pinto; Alexander Kolesnikov 003; Xiao Wang 038; Daniel Salz; Maxim Neumann; Ibrahim Alabdulmohsin; Michael Tschannen; Emanuele Bugliarello; Thomas Unterthiner; Daniel Keysers; et al. (CoRR, 2024)

The Hyperfitting Phenomenon: Sharpening and Stabilizing LLMs for Open-Ended Text Generation. - Fredrik Carlsson; Fangyu Liu 001; Daniel Ward; Murathan Kurfali; Joakim Nivre (ICLR, 2025)