b'Yao Zhang'

Exploring Instance-Level Uncertainty for Medical Detection

The ability of deep learning to predict with uncertainty is recognized a...
12/23/2020 ∙ by Jiawei Yang, et al. ∙ 7 ∙ share

read it
Generalized Relation Learning with Semantic Correlation Awareness for Link Prediction

Developing link prediction models to automatically complete knowledge gr...
12/22/2020 ∙ by Yao Zhang, et al. ∙ 10 ∙ share

read it
Argument Mining Driven Analysis of Peer-Reviews

Peer reviewing is a central process in modern research and essential for...
12/10/2020 ∙ by Michael Fromm, et al. ∙ 0 ∙ share

read it
Incentives to Form Larger Coalitions when Players Have the Power to Choose

We study a cooperative game setting where the grand coalition may change...
11/18/2020 ∙ by Yao Zhang, et al. ∙ 0 ∙ share

read it
Learning outside the Black-Box: The pursuit of interpretable models

Machine Learning has proved its ability to produce accurate models but t...
11/17/2020 ∙ by Jonathan Crabbé, et al. ∙ 4 ∙ share

read it
AbdomenCT-1K: Is Abdominal Organ Segmentation A Solved Problem?

With the unprecedented developments in deep learning, automatic segmenta...
10/28/2020 ∙ by Jun Ma, et al. ∙ 7 ∙ share

read it
Double-Uncertainty Weighted Method for Semi-supervised Learning

Though deep learning has achieved advanced performance recently, it rema...
10/19/2020 ∙ by Yixin Wang, et al. ∙ 0 ∙ share

read it
Modality-Pairing Learning for Brain Tumor Segmentation

Automatic brain tumor segmentation from multi-modality Magnetic Resonanc...
10/19/2020 ∙ by Yixin Wang, et al. ∙ 0 ∙ share

read it
GMH: A General Multi-hop Reasoning Model for KG Completion

Knowledge graphs are essential for numerous downstream natural language ...
10/15/2020 ∙ by Yao Zhang, et al. ∙ 7 ∙ share

read it
CASTLE: Regularization via Auxiliary Causal Graph Discovery

Regularization improves generalization of supervised models to out-of-sa...
09/28/2020 ∙ by Trent Kyono, et al. ∙ 4 ∙ share

read it
Sub-graph Contrast for Scalable Self-Supervised Graph Representation Learning

Graph representation learning has attracted lots of attention recently. ...
09/22/2020 ∙ by Yizhu Jiao, et al. ∙ 11 ∙ share

read it
Woodpecker-DL: Accelerating Deep Neural Networks via Hardware-Aware Multifaceted Optimizations

Accelerating deep model training and inference is crucial in practice. E...
08/11/2020 ∙ by Yongchao Liu, et al. ∙ 0 ∙ share

read it
Train Your Data Processor: Distribution-Aware and Error-Compensation Coordinate Decoding for Human Pose Estimation

Recently, the leading performance of human pose estimation is dominated ...
07/12/2020 ∙ by Feiyu Yang, et al. ∙ 5 ∙ share

read it
AutoNCP: Automated pipelines for accurate confidence intervals

Successful application of machine learning models to real-world predicti...
06/24/2020 ∙ by Yao Zhang, et al. ∙ 10 ∙ share

read it
Does Non-COVID19 Lung Lesion Help? Investigating Transferability in COVID-19 CT Image Segmentation

Coronavirus disease 2019 (COVID-19) is a highly contagious virus spreadi...
06/23/2020 ∙ by Yixin Wang, et al. ∙ 2 ∙ share

read it
Robust Recursive Partitioning for Heterogeneous Treatment Effects with Uncertainty Quantification

Subgroup analysis of treatment effects plays an important role in applic...
06/14/2020 ∙ by Hyun-Suk Lee, et al. ∙ 0 ∙ share

read it
Sybil-proof Answer Querying Mechanism

We study a question answering problem on a social network, where a reque...
05/27/2020 ∙ by Yao Zhang, et al. ∙ 0 ∙ share

read it
Fine-Grained Fashion Similarity Learning by Attribute-Specific Embedding Network

This paper strives to learn fine-grained fashion similarity. In this sim...
02/07/2020 ∙ by Zhe Ma, et al. ∙ 0 ∙ share

read it
Learning Overlapping Representations for the Estimation of Individualized Treatment Effects

The choice of making an intervention depends on its potential benefit or...
01/14/2020 ∙ by Yao Zhang, et al. ∙ 0 ∙ share

read it
Stepwise Model Selection for Sequence Prediction via Deep Kernel Learning

An essential problem in automated machine learning (AutoML) is that of m...
01/12/2020 ∙ by Yao Zhang, et al. ∙ 0 ∙ share

read it
Maximal Information Propagation with Budgets

In this work, we present an information propagation game on a network wh...
12/09/2019 ∙ by Haomin Shi, et al. ∙ 0 ∙ share

read it
The state of the art in kidney and kidney tumor segmentation in contrast-enhanced CT imaging: Results of the KiTS19 Challenge

There is a large body of literature linking anatomic and geometric chara...
12/02/2019 ∙ by Nicholas Heller, et al. ∙ 0 ∙ share

read it
Semantic Feature Attention Network for Liver Tumor Segmentation in Large-scale CT database

Liver tumor segmentation plays an important role in hepatocellular carci...
11/01/2019 ∙ by Yao Zhang, et al. ∙ 0 ∙ share

read it
Incentivize Diffusion with Fair Rewards on Networks

This paper studies a sale promotion mechanism design problem on a social...
10/21/2019 ∙ by Wen Zhang, et al. ∙ 0 ∙ share

read it
Cascaded Volumetric Convolutional Network for Kidney Tumor Segmentation from CT volumes

Automated segmentation of kidney and tumor from 3D CT scans is necessary...
10/05/2019 ∙ by Yao Zhang, et al. ∙ 0 ∙ share

read it
Lifelong Bayesian Optimization

Automatic Machine Learning (Auto-ML) systems tackle the problem of autom...
05/29/2019 ∙ by Yao Zhang, et al. ∙ 0 ∙ share

read it
Crowdsourcing Data Acquisition via Social Networks

We consider a requester who acquires a set of data (e.g. images) that is...
05/14/2019 ∙ by Wen Zhang, et al. ∙ 0 ∙ share

read it
A Mobility-Aware Vehicular Caching Scheme in Content Centric Networks: Model and Optimization

Edge caching is being explored as a promising technology to alleviate th...
02/19/2019 ∙ by Yao Zhang, et al. ∙ 0 ∙ share

read it
Bayesian semi-supervised learning for uncertainty-calibrated prediction of molecular properties and active learning

Predicting bioactivity and physical properties of small molecules is a c...
02/03/2019 ∙ by Yao Zhang, et al. ∙ 0 ∙ share

read it
Geometry of energy landscapes and the optimizability of deep neural networks

Deep neural networks are workhorse models in machine learning with multi...
08/01/2018 ∙ by Simon Becker, et al. ∙ 0 ∙ share

read it
Dermoscopic Image Analysis for ISIC Challenge 2018

This short paper reports the algorithms we used and the evaluation perfo...
07/24/2018 ∙ by Jinyi Zou, et al. ∙ 0 ∙ share

read it
Building Transmission Backbone for Highway Vehicular Networks: Framework and Analysis

The highway vehicular ad hoc networks, where vehicles are wirelessly int...
07/06/2018 ∙ by Changle Li, et al. ∙ 0 ∙ share

read it
BigDL: A Distributed Deep Learning Framework for Big Data

In this paper, we present BigDL, a distributed deep learning framework f...
04/16/2018 ∙ by Jason, et al. ∙ 0 ∙ share

read it
Energy-entropy competition and the effectiveness of stochastic gradient descent in machine learning

Finding parameters that minimise a loss function is at the core of many ...
03/05/2018 ∙ by Yao Zhang, et al. ∙ 0 ∙ share

read it
Application of Convolutional Neural Network to Predict Airfoil Lift Coefficient

The adaptability of the convolutional neural network (CNN) technique for...
12/29/2017 ∙ by Yao Zhang, et al. ∙ 0 ∙ share

read it
Distributed Representation of Subgraphs

Network embeddings have become very popular in learning effective featur...
02/22/2017 ∙ by Bijaya Adhikari, et al. ∙ 0 ∙ share

read it

Yao Zhang

Featured Co-authors