34 citations · 68 across the 6 of their papers we have counts for
16 papers
Dynamic Knowledge Distillation for Black-box Hypothesis Transfer Learning
Yiqin Yu, Xu Min, Shiwan Zhao +5
In real world applications like healthcare, it is usually difficult to build a machine learning prediction model that works universally well across different institutions. At the s…
GRAPHENE: A Precise Biomedical Literature Retrieval Engine with Graph Augmented Deep Learning and External Knowledge Empowerment
Sendong Zhao, Chang Su, Andrea Sboner +1
Effective biomedical literature retrieval (BLR) plays a central role in precision medicine informatics. In this paper, we propose GRAPHENE, which is a deep learning based framework…
Explicit-Blurred Memory Network for Analyzing Patient Electronic Health Records
Prithwish Chakraborty, Fei Wang, Jianying Hu +1
In recent years, we have witnessed an increased interest in temporal modeling of patient records from large scale Electronic Health Records (EHR). While simpler RNN models have bee…
A Real-Time Cross-modality Correlation Filtering Method for Referring Expression Comprehension
Yue Liao, Si Liu, Guanbin Li +4
Referring expression comprehension aims to localize the object instance described by a natural language expression. Current referring expression methods have achieved good performa…
Research on Autonomous Maneuvering Decision of UCAV based on Approximate Dynamic Programming
Zhencai Hu, Peng Gao, Fei Wang
Unmanned aircraft systems can perform some more dangerous and difficult missions than manned aircraft systems. In some highly complicated and changeable tasks, such as air combat,…
SFSegNet: Parse Freehand Sketches using Deep Fully Convolutional Networks
Junkun Jiang, Ruomei Wang, Shujin Lin +1
Parsing sketches via semantic segmentation is attractive but challenging, because (i) free-hand drawings are abstract with large variances in depicting objects due to different dra…