b'Qiang Hu'

research

∙ 07/29/2023

Evaluating the Robustness of Test Selection Methods for Deep Neural Networks

Testing deep learning-based systems is crucial but challenging due to th...

0 Qiang Hu, et al. ∙

research

∙ 07/27/2023

CodeLens: An Interactive Tool for Visualizing Code Representations

Representing source code in a generic input format is crucial to automat...

0 Yuejun Guo, et al. ∙

research

∙ 06/02/2023

Active Code Learning: Benchmarking Sample-Efficient Training of Code Models

The costly human effort required to prepare the training data of machine...

0 Qiang Hu, et al. ∙

research

∙ 04/10/2023

Neural Residual Radiance Fields for Streamably Free-Viewpoint Videos

The success of the Neural Radiance Fields (NeRFs) for modeling and free-...

3 Liao Wang, et al. ∙

research

∙ 03/13/2023

Boosting Source Code Learning with Data Augmentation: An Empirical Study

The next era of program understanding is being propelled by the use of m...

0 Zeming Dong, et al. ∙

research

∙ 11/27/2022

Dynamic Feature Pruning and Consolidation for Occluded Person Re-Identification

Occluded person re-identification (ReID) is a challenging problem due to...

0 Yuteng Ye, et al. ∙

research

∙ 10/06/2022

Enhancing Code Classification by Mixup-Based Data Augmentation

Recently, deep neural networks (DNNs) have been widely applied in progra...

0 Zeming Dong, et al. ∙

research

∙ 10/06/2022

Enhancing Mixup-Based Graph Learning for Language Processing via Hybrid Pooling

Graph neural networks (GNNs) have recently been popular in natural langu...

0 Zeming Dong, et al. ∙

research

∙ 07/22/2022

Efficient Testing of Deep Neural Networks via Decision Boundary Analysis

Deep learning plays a more and more important role in our daily life due...

9 Qiang Hu, et al. ∙

research

∙ 06/12/2022

Preprocessing Enhanced Image Compression for Machine Vision

Recently, more and more images are compressed and sent to the back-end d...

0 Guo Lu, et al. ∙

research

∙ 06/11/2022

CodeS: A Distribution Shift Benchmark Dataset for Source Code Learning

Over the past few years, deep learning (DL) has been continuously expand...

4 Qiang Hu, et al. ∙

research

∙ 04/08/2022

Characterizing and Understanding the Behavior of Quantized Models for Reliable Deployment

Deep Neural Networks (DNNs) have gained considerable attention in the pa...

2 Qiang Hu, et al. ∙

research

∙ 04/08/2022

Labeling-Free Comparison Testing of Deep Learning Models

Various deep neural networks (DNNs) are developed and reported for their...

0 Yuejun Guo, et al. ∙

research

∙ 03/14/2022

WCL-BBCD: A Contrastive Learning and Knowledge Graph Approach to Named Entity Recognition

Named Entity Recognition task is one of the core tasks of information ex...

12 Renjie Zhou, et al. ∙

research

∙ 02/16/2022

An efficient distributed scheduling algorithm for relay-assisted mmWave backhaul networks

In this paper, a novel distributed scheduling algorithm is proposed, whi...

0 Qiang Hu, et al. ∙

research

∙ 02/14/2022

GAMMA Challenge:Glaucoma grAding from Multi-Modality imAges

Color fundus photography and Optical Coherence Tomography (OCT) are the ...

5 Junde Wu, et al. ∙

research

∙ 02/11/2022

Towards the Maximum Traffic Demand and Throughput Supported by Relay-Assisted mmWave Backhaul Networks

This paper investigates the throughput performance issue of the relay-as...

0 Qiang Hu, et al. ∙

research

∙ 12/05/2021

Robust Active Learning: Sample-Efficient Training of Robust Deep Learning Models

Active learning is an established technique to reduce the labeling cost ...

0 Yuejun Guo, et al. ∙

research

∙ 12/02/2021

GraphCode2Vec: Generic Code Embedding via Lexical and Program Dependence Analyses

Code embedding is a keystone in the application of machine learning on s...

0 Wei Ma, et al. ∙

research

∙ 09/27/2021

MUTEN: Boosting Gradient-Based Adversarial Attacks via Mutant-Based Ensembles

Deep Neural Networks (DNNs) are vulnerable to adversarial examples, whic...

0 Yuejun Guo, et al. ∙

research

∙ 02/16/2021

TransFuse: Fusing Transformers and CNNs for Medical Image Segmentation

U-Net based convolutional neural networks with deep feature representati...

0 Yundong Zhang, et al. ∙

research

∙ 10/16/2020

Blockage Type Detection Process in Triangular-wave Topology for mmWave Wireless Backhaul

Due to the rapid densification of small cells in 5G and beyond cellular ...

0 Yuchen Liu, et al. ∙

research

∙ 08/13/2020

LGNN: a Context-aware Line Segment Detector

We present a novel real-time line segment detection scheme called Line G...

13 Quan Meng, et al. ∙

research

∙ 04/24/2020

Towards Characterizing Adversarial Defects of Deep Learning Software from the Lens of Uncertainty

Over the past decade, deep learning (DL) has been successfully applied t...

0 Xiyue Zhang, et al. ∙

research

∙ 09/15/2019

An Empirical Study towards Characterizing Deep Learning Development and Deployment across Different Frameworks and Platforms

Deep Learning (DL) has recently achieved tremendous success. A variety o...

0 Qianyu Guo, et al. ∙

research

∙ 11/13/2018

An Orchestrated Empirical Study on Deep Learning Frameworks and Platforms

Deep learning (DL) has recently achieved tremendous success in a variety...

2 Qianyu Guo, et al. ∙

research

∙ 10/31/2018

Nearly-tight bounds on linear regions of piecewise linear neural networks

The developments of deep neural networks (DNN) in recent years have ushe...

0 Qiang Hu, et al. ∙

research

∙ 10/10/2018

Secure Deep Learning Engineering: A Software Quality Assurance Perspective

Over the past decades, deep learning (DL) systems have achieved tremendo...

0 Lei Ma, et al. ∙

research

∙ 05/10/2018

Enhancing HEVC Compressed Videos with a Partition-masked Convolutional Neural Network

In this paper, we propose a partition-masked Convolution Neural Network ...

0 Xiaoyi He, et al. ∙

Qiang Hu

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