16 citations · 42 across the 18 of their papers we have counts for
5 papers · 1 filter
Multi-Scale Cross Contrastive Learning for Semi-Supervised Medical Image Segmentation
Qianying Liu, Xiao Gu, Paul Henderson +1
Semi-supervised learning has demonstrated great potential in medical image segmentation by utilizing knowledge from unlabeled data. However, most existing approaches do not explici…
Exploring the Impact of Layer Normalization for Zero-shot Neural Machine Translation
Zhuoyuan Mao, Raj Dabre, Qianying Liu +3
This paper studies the impact of layer normalization (LayerNorm) on zero-shot translation (ZST). Recent efforts for ZST often utilize the Transformer architecture as the backbone,…
Comprehensive Solution Program Centric Pretraining for Table-and-Text Hybrid Numerical Reasoning
Qianying Liu, Dongsheng Yang, Wenjie Zhong +2
Numerical reasoning over table-and-text hybrid passages, such as financial reports, poses significant challenges and has numerous potential applications. Noise and irrelevant varia…
GPT-RE: In-context Learning for Relation Extraction using Large Language Models
Zhen Wan, Fei Cheng, Zhuoyuan Mao +4
In spite of the potential for ground-breaking achievements offered by large language models (LLMs) (e.g., GPT-3), they still lag significantly behind fully-supervised baselines (e.…
Optimizing Facial Expressions of an Android Robot Effectively: a Bayesian Optimization Approach
Dongsheng Yang, Wataru Sato, Qianying Liu +3
Expressing various facial emotions is an important social ability for efficient communication between humans. A key challenge in human-robot interaction research is providing andro…