10 citations · 14 across the 3 of their papers we have counts for
6 papers
Learning by Ignoring, with Application to Domain Adaptation
Xingchen Zhao, Xuehai He, Pengtao Xie
Learning by ignoring, which identifies less important things and excludes them from the learning process, is broadly practiced in human learning and has shown ubiquitous effectiven…
Pathological Visual Question Answering
Xuehai He, Zhuo Cai, Wenlan Wei +4
Is it possible to develop an "AI Pathologist" to pass the board-certified examination of the American Board of Pathology (ABP)? To build such a system, three challenges need to be…
Transfer Learning or Self-supervised Learning? A Tale of Two Pretraining Paradigms
Xingyi Yang, Xuehai He, Yuxiao Liang +3
Pretraining has become a standard technique in computer vision and natural language processing, which usually helps to improve performance substantially. Previously, the most domin…
On the Generation of Medical Dialogues for COVID-19
Wenmian Yang, Guangtao Zeng, Bowen Tan +9
Under the pandemic of COVID-19, people experiencing COVID19-related symptoms or exposed to risk factors have a pressing need to consult doctors. Due to hospital closure, a lot of c…
PathVQA: 30000+ Questions for Medical Visual Question Answering
Xuehai He, Yichen Zhang, Luntian Mou +2
Is it possible to develop an "AI Pathologist" to pass the board-certified examination of the American Board of Pathology? To achieve this goal, the first step is to create a visual…
COVID-CT-Dataset: A CT Scan Dataset about COVID-19
Xingyi Yang, Xuehai He, Jinyu Zhao +3
During the outbreak time of COVID-19, computed tomography (CT) is a useful manner for diagnosing COVID-19 patients. Due to privacy issues, publicly available COVID-19 CT datasets a…