Yuqing Wang | DeepAI

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∙ 09/18/2023

Discovering Sounding Objects by Audio Queries for Audio Visual Segmentation

Audio visual segmentation (AVS) aims to segment the sounding objects for...

0 Shaofei Huang, et al. ∙

∙ 08/10/2023

Metacognitive Prompting Improves Understanding in Large Language Models

In Large Language Models (LLMs), there have been consistent advancements...

0 Yuqing Wang, et al. ∙

∙ 05/10/2023

An Empirical Study on the Robustness of the Segment Anything Model (SAM)

The Segment Anything Model (SAM) is a foundation model for general image...

0 Yuqing Wang, et al. ∙

∙ 04/09/2023

Are Large Language Models Ready for Healthcare? A Comparative Study on Clinical Language Understanding

Large language models (LLMs) have made significant progress in various d...

0 Yuqing Wang, et al. ∙

∙ 03/25/2023

DeepVecFont-v2: Exploiting Transformers to Synthesize Vector Fonts with Higher Quality

Vector font synthesis is a challenging and ongoing problem in the fields...

0 Yuqing Wang, et al. ∙

∙ 08/22/2022

Meta-Causal Feature Learning for Out-of-Distribution Generalization

Causal inference has become a powerful tool to handle the out-of-distrib...

0 Yuqing Wang, et al. ∙

∙ 08/19/2022

Practitioners Perspective on Motivators of Agile in Global Software Development

In modern software development world, experts are trying to provide the ...

0 Muhammad Azeem Akbar, et al. ∙

∙ 06/26/2022

Predicting the Need for Blood Transfusion in Intensive Care Units with Reinforcement Learning

As critically ill patients frequently develop anemia or coagulopathy, tr...

0 Yuqing Wang, et al. ∙

∙ 05/27/2022

Momentum Stiefel Optimizer, with Applications to Suitably-Orthogonal Attention, and Optimal Transport

The problem of optimization on Stiefel manifold, i.e., minimizing functi...

21 Lingkai Kong, et al. ∙

∙ 03/28/2022

Enhancing Transformer Efficiency for Multivariate Time Series Classification

Most current multivariate time series (MTS) classification algorithms fo...

0 Yuqing Wang, et al. ∙

∙ 03/28/2022

Integrating Physiological Time Series and Clinical Notes with Transformer for Early Prediction of Sepsis

Sepsis is a leading cause of death in the Intensive Care Units (ICU). Ea...

0 Yuqing Wang, et al. ∙

∙ 02/23/2022

Multi-Teacher Knowledge Distillation for Incremental Implicitly-Refined Classification

Incremental learning methods can learn new classes continually by distil...

0 Longhui Yu, et al. ∙

∙ 02/18/2022

Improving Test Automation Maturity: a Multivocal Literature Review

Mature test automation is key for achieving software quality at speed. I...

0 Yuqing Wang, et al. ∙

∙ 02/07/2022

Test Automation Maturity Improves Product Quality – Quantitative Study of Open Source Projects Using Continuous Integration

The popularity of continuous integration (CI) is increasing as a result ...

0 Yuqing Wang, et al. ∙

∙ 10/07/2021

Large Learning Rate Tames Homogeneity: Convergence and Balancing Effect

Recent empirical advances show that training deep models with large lear...

0 Yuqing Wang, et al. ∙

∙ 10/01/2021

Empirical Quantitative Analysis of COVID-19 Forecasting Models

COVID-19 has been a public health emergency of international concern sin...

0 Yun Zhao, et al. ∙

∙ 04/28/2021

Twins: Revisiting Spatial Attention Design in Vision Transformers

Very recently, a variety of vision transformer architectures for dense p...

0 Xiangxiang Chu, et al. ∙

∙ 03/19/2021

Empirical Analysis of Machine Learning Configurations for Prediction of Multiple Organ Failure in Trauma Patients

Multiple organ failure (MOF) is a life-threatening condition. Due to its...

0 Yuqing Wang, et al. ∙

∙ 03/19/2021

BERTSurv: BERT-Based Survival Models for Predicting Outcomes of Trauma Patients

Survival analysis is a technique to predict the times of specific outcom...

0 Yun Zhao, et al. ∙

∙ 11/30/2020

End-to-End Video Instance Segmentation with Transformers

Video instance segmentation (VIS) is the task that requires simultaneous...

0 Yuqing Wang, et al. ∙

∙ 04/20/2020

Software Test Automation Maturity – A Survey of the State of the Practice

The software industry has seen an increasing interest in test automation...

0 Yuqing Wang, et al. ∙

∙ 04/14/2020

Test Automation Process Improvement in a DevOpsTeam: Experience Report

How to successfully conduct test automation process improvement (TAPI) f...

0 Yuqing Wang, et al. ∙

∙ 04/09/2020

CenterMask: single shot instance segmentation with point representation

In this paper, we propose a single-shot instance segmentation method, wh...

0 Yuqing Wang, et al. ∙

∙ 02/14/2020

Why Do Deep Residual Networks Generalize Better than Deep Feedforward Networks? – A Neural Tangent Kernel Perspective

Deep residual networks (ResNets) have demonstrated better generalization...

9 Kaixuan Huang, et al. ∙

∙ 04/11/2019

A self-assessment Instrument for assessing test automation maturity

Test automation is important in software industry but self-assessment in...

0 Yuqing Wang, et al. ∙

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