b'Yao Zhang'

research

∙ 11/19/2022

CL-CrossVQA: A Continual Learning Benchmark for Cross-Domain Visual Question Answering

Visual Question Answering (VQA) is a multi-discipline research task. To ...

Yao Zhang, et al. ∙

research

∙ 11/09/2022

Bounds and semiparametric inference in L^∞- and L^2-sensitivity analysis for observational studies

Sensitivity analysis for the unconfoundedness assumption is a crucial co...

Yao Zhang, et al. ∙

research

∙ 08/12/2022

RuDi: Explaining Behavior Sequence Models by Automatic Statistics Generation and Rule Distillation

Risk scoring systems have been widely deployed in many applications, whi...

Yao Zhang, et al. ∙

research

∙ 07/05/2022

ReMix: A General and Efficient Framework for Multiple Instance Learning based Whole Slide Image Classification

Whole slide image (WSI) classification often relies on deep weakly super...

Jiawei Yang, et al. ∙

research

∙ 06/08/2022

ReCo: A Dataset for Residential Community Layout Planning

Layout planning is centrally important in the field of architecture and ...

Xi Chen, et al. ∙

research

∙ 04/07/2022

Interacting with Non-Cooperative User: A New Paradigm for Proactive Dialogue Policy

Proactive dialogue system is able to lead the conversation to a goal top...

Wenqiang Lei, et al. ∙

research

∙ 04/06/2022

Modeling Temporal-Modal Entity Graph for Procedural Multimodal Machine Comprehension

Procedural Multimodal Documents (PMDs) organize textual instructions and...

Huibin Zhang, et al. ∙

research

∙ 03/21/2022

What is a randomization test?

The meaning of randomization tests has become obscure in statistics educ...

Yao Zhang, et al. ∙

research

∙ 03/18/2022

Collaborative Driving: Learning- Aided Joint Topology Formulation and Beamforming

Currently, autonomous vehicles are able to drive more naturally based on...

Yao Zhang, et al. ∙

research

∙ 03/17/2022

Enhanced Temporal Knowledge Embeddings with Contextualized Language Representations

With the emerging research effort to integrate structured and unstructur...

Zhen Han, et al. ∙

research

∙ 03/08/2022

Graph Attention Transformer Network for Multi-Label Image Classification

Multi-label classification aims to recognize multiple objects or attribu...

Jin Yuan, et al. ∙

research

∙ 02/06/2022

Triangle Graph Interest Network for Click-through Rate Prediction

Click-through rate prediction is a critical task in online advertising. ...

Wensen Jiang, et al. ∙

research

∙ 01/15/2022

Task Allocation on Networks with Execution Uncertainty

We study a single task allocation problem where each worker connects to ...

Xiuzhen Zhang, et al. ∙

research

∙ 12/28/2021

Learning Based Task Offloading in Digital Twin Empowered Internet of Vehicles

Mobile edge computing has become an effective and fundamental paradigm f...

Jinkai Zheng, et al. ∙

research

∙ 12/02/2021

Autonomous Vehicular Networks: Perspective and Open Issues

The vehicular ad hoc networks (VANETs) have been researched for over twe...

Tom H. Luan, et al. ∙

research

∙ 11/04/2021

MIRACLE: Causally-Aware Imputation via Learning Missing Data Mechanisms

Missing data is an important problem in machine learning practice. Start...

Trent Kyono, et al. ∙

research

∙ 11/04/2021

A semi-automatic ultrasound image analysis system for the grading diagnosis of COVID-19 pneumonia

This paper proposes a semi-automatic system based on quantitative charac...

Yuanyuan Wang, et al. ∙

research

∙ 08/17/2021

Fact-Tree Reasoning for N-ary Question Answering over Knowledge Graphs

In the question answering(QA) task, multi-hop reasoning framework has be...

Yao Zhang, et al. ∙

research

∙ 08/17/2021

How Powerful is Graph Convolution for Recommendation?

Graph convolutional networks (GCNs) have recently enabled a popular clas...

Yifei Shen, et al. ∙

research

∙ 08/10/2021

Adaptive Multi-Resolution Attention with Linear Complexity

Transformers have improved the state-of-the-art across numerous tasks in...

Yao Zhang, et al. ∙

research

∙ 08/06/2021

Identifiable Energy-based Representations: An Application to Estimating Heterogeneous Causal Effects

Conditional average treatment effects (CATEs) allow us to understand the...

Yao Zhang, et al. ∙

research

∙ 07/22/2021

Incentive Compatible Mechanism for Influential Agent Selection

Selecting the most influential agent in a network has huge practical val...

Xiuzhen Zhang, et al. ∙

research

∙ 07/21/2021

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

Deep learning models are notoriously data-hungry. Thus, there is an urgi...

Jiawei Yang, et al. ∙

research

∙ 07/21/2021

Modality-aware Mutual Learning for Multi-modal Medical Image Segmentation

Liver cancer is one of the most common cancers worldwide. Due to inconsp...

Yao Zhang, et al. ∙

research

∙ 04/21/2021

Multiple conditional randomization tests

We propose a general framework for (multiple) conditional randomization ...

Yao Zhang, et al. ∙

research

∙ 12/23/2020

Exploring Instance-Level Uncertainty for Medical Detection

The ability of deep learning to predict with uncertainty is recognized a...

Jiawei Yang, et al. ∙

research

∙ 12/22/2020

Generalized Relation Learning with Semantic Correlation Awareness for Link Prediction

Developing link prediction models to automatically complete knowledge gr...

Yao Zhang, et al. ∙

research

∙ 12/10/2020

Argument Mining Driven Analysis of Peer-Reviews

Peer reviewing is a central process in modern research and essential for...

Michael Fromm, et al. ∙

research

∙ 11/18/2020

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

We study a cooperative game setting where the grand coalition may change...

Yao Zhang, et al. ∙

research

∙ 11/17/2020

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

Machine Learning has proved its ability to produce accurate models but t...

Jonathan Crabbé, et al. ∙

research

∙ 10/28/2020

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

With the unprecedented developments in deep learning, automatic segmenta...

Jun Ma, et al. ∙

research

∙ 10/19/2020

Double-Uncertainty Weighted Method for Semi-supervised Learning

Though deep learning has achieved advanced performance recently, it rema...

Yixin Wang, et al. ∙

research

∙ 10/19/2020

Modality-Pairing Learning for Brain Tumor Segmentation

Automatic brain tumor segmentation from multi-modality Magnetic Resonanc...

Yixin Wang, et al. ∙

research

∙ 10/15/2020

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

Knowledge graphs are essential for numerous downstream natural language ...

Yao Zhang, et al. ∙

research

∙ 09/28/2020

CASTLE: Regularization via Auxiliary Causal Graph Discovery

Regularization improves generalization of supervised models to out-of-sa...

Trent Kyono, et al. ∙

research

∙ 09/22/2020

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

Graph representation learning has attracted lots of attention recently. ...

Yizhu Jiao, et al. ∙

research

∙ 08/11/2020

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

Accelerating deep model training and inference is crucial in practice. E...

Yongchao Liu, et al. ∙

research

∙ 07/12/2020

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 ...

Feiyu Yang, et al. ∙

research

∙ 06/24/2020

AutoNCP: Automated pipelines for accurate confidence intervals

Successful application of machine learning models to real-world predicti...

Yao Zhang, et al. ∙

research

∙ 06/23/2020

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...

Yixin Wang, et al. ∙

research

∙ 06/14/2020

Robust Recursive Partitioning for Heterogeneous Treatment Effects with Uncertainty Quantification

Subgroup analysis of treatment effects plays an important role in applic...

Hyun-Suk Lee, et al. ∙

research

∙ 05/27/2020

Sybil-proof Answer Querying Mechanism

We study a question answering problem on a social network, where a reque...

Yao Zhang, et al. ∙

research

∙ 02/07/2020

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

This paper strives to learn fine-grained fashion similarity. In this sim...

Zhe Ma, et al. ∙

research

∙ 01/14/2020

Learning Overlapping Representations for the Estimation of Individualized Treatment Effects

The choice of making an intervention depends on its potential benefit or...

Yao Zhang, et al. ∙

research

∙ 01/12/2020

Stepwise Model Selection for Sequence Prediction via Deep Kernel Learning

An essential problem in automated machine learning (AutoML) is that of m...

Yao Zhang, et al. ∙

research

∙ 12/09/2019

Maximal Information Propagation with Budgets

In this work, we present an information propagation game on a network wh...

Haomin Shi, et al. ∙

research

∙ 12/02/2019

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...

Nicholas Heller, et al. ∙

research

∙ 11/01/2019

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

Liver tumor segmentation plays an important role in hepatocellular carci...

Yao Zhang, et al. ∙

research

∙ 10/21/2019

Incentivize Diffusion with Fair Rewards on Networks

This paper studies a sale promotion mechanism design problem on a social...

Wen Zhang, et al. ∙

research

∙ 10/05/2019

Cascaded Volumetric Convolutional Network for Kidney Tumor Segmentation from CT volumes

Automated segmentation of kidney and tumor from 3D CT scans is necessary...

Yao Zhang, et al. ∙

Yao Zhang

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