Search Results for author: Yuan Liang

Found 11 papers, 2 papers with code

TumorCP: A Simple but Effective Object-Level Data Augmentation for Tumor Segmentation

1 code implementation21 Jul 2021 Jiawei Yang, Yao Zhang, Yuan Liang, Yang Zhang, Lei He, Zhiqiang He

Experiments on kidney tumor segmentation task demonstrate that TumorCP surpasses the strong baseline by a remarkable margin of 7. 12% on tumor Dice.

Data Augmentation Tumor Segmentation

SocAoG: Incremental Graph Parsing for Social Relation Inference in Dialogues

no code implementations2 Jun 2021 Liang Qiu, Yuan Liang, Yizhou Zhao, Pan Lu, Baolin Peng, Zhou Yu, Ying Nian Wu, Song-Chun Zhu

Inferring social relations from dialogues is vital for building emotionally intelligent robots to interpret human language better and act accordingly.

Dialog Relation Extraction

Towards Socially Intelligent Agents with Mental State Transition and Human Utility

no code implementations12 Mar 2021 Liang Qiu, Yizhou Zhao, Yuan Liang, Pan Lu, Weiyan Shi, Zhou Yu, Song-Chun Zhu

Building a socially intelligent agent involves many challenges, one of which is to track the agent's mental state transition and teach the agent to make rational decisions guided by its utility like a human.

Atlas-aware ConvNetfor Accurate yet Robust Anatomical Segmentation

no code implementations2 Feb 2021 Yuan Liang, Weinan Song, Jiawei Yang, Liang Qiu, Kun Wang, Lei He

Second, we can largely boost the robustness of existing ConvNets, proved by: (i) testing on scans with synthetic pathologies, and (ii) training and evaluation on scans of different scanning setups across datasets.

Exploring Instance-Level Uncertainty for Medical Detection

no code implementations23 Dec 2020 Jiawei Yang, Yuan Liang, Yao Zhang, Weinan Song, Kun Wang, Lei He

The ability of deep learning to predict with uncertainty is recognized as key for its adoption in clinical routines.

Lung Nodule Detection

Structured Attention for Unsupervised Dialogue Structure Induction

1 code implementation EMNLP 2020 Liang Qiu, Yizhou Zhao, Weiyan Shi, Yuan Liang, Feng Shi, Tao Yuan, Zhou Yu, Song-Chun Zhu

Inducing a meaningful structural representation from one or a set of dialogues is a crucial but challenging task in computational linguistics.

Sentence Embeddings

FLBench: A Benchmark Suite for Federated Learning

no code implementations17 Aug 2020 Yuan Liang, Yange Guo, Yanxia Gong, Chunjie Luo, Jianfeng Zhan, Yunyou Huang

The goal is to build a machine learning model from the data sets distributed on multiple devices so-called an isolated data island, while keeping their data secure and private.

Federated Learning Platform

Oral-3D: Reconstructing the 3D Bone Structure of Oral Cavity from 2D Panoramic X-ray

no code implementations18 Mar 2020 Weinan Song, Yuan Liang, Jiawei Yang, Kun Wang, Lei He

In this paper, we propose a framework, named Oral-3D, to reconstruct the 3D oral cavity from a single PX image and prior information of the dental arch.

3D Reconstruction

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

no code implementations19 Feb 2020 Weinan Song, Yuan Liang, Jiawei Yang, Kun Wang, Lei He

The encoder-decoder network is widely used to learn deep feature representations from pixel-wise annotations in biomedical image analysis.

Region Proposal Representation Learning

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