activity
20192021
most citedStructured Attention for Unsupervised Dialogue Structure Induction

29 citations · 36 across the 9 of their papers we have counts for

collaborators
Showing 2020Show all

6 papers · 1 filter

cs.HC2020★ 2 cited

OralViewer: 3D Demonstration of Dental Surgeries for Patient Education with Oral Cavity Reconstruction from a 2D Panoramic X-ray

Yuan Liang, Liang Qiu, Tiancheng Lu +8

Patient's understanding on forthcoming dental surgeries is required by patient-centered care and helps reduce fear and anxiety. Due to the gap of expertise between patients and den…

cs.CV2020

Exploring Instance-Level Uncertainty for Medical Detection

Jiawei Yang, Yuan Liang, Yao Zhang +3

The ability of deep learning to predict with uncertainty is recognized as key for its adoption in clinical routines. Moreover, performance gain has been enabled by modelling uncert…

cs.CL2020★ 29 cited

Structured Attention for Unsupervised Dialogue Structure Induction

Liang Qiu, Yizhou Zhao, Weiyan Shi +5

Inducing a meaningful structural representation from one or a set of dialogues is a crucial but challenging task in computational linguistics. Advancement made in this area is crit…

cs.LG2020

FLBench: A Benchmark Suite for Federated Learning

Yuan Liang, Yange Guo, Yanxia Gong +3

Federated learning is a new machine learning paradigm. The goal is to build a machine learning model from the data sets distributed on multiple devices so-called an isolated data i…

eess.IV2020

T-Net: Learning Feature Representation with Task-specific Supervision for Biomedical Image Analysis

Weinan Song, Yuan Liang, Jiawei Yang +2

The encoder-decoder network is widely used to learn deep feature representations from pixel-wise annotations in biomedical image analysis. Under this structure, the performance pro…

cs.HC2020★ 5 cited

OralCam: Enabling Self-Examination and Awareness of Oral Health Using a Smartphone Camera

Yuan Liang, Hsuan-Wei Fan, Zhujun Fang +7

Due to a lack of medical resources or oral health awareness, oral diseases are often left unexamined and untreated, affecting a large population worldwide. With the advent of low-c…