b'Hang Zhang'

research

∙ 05/05/2023

Physics-based network fine-tuning for robust quantitative susceptibility mapping from high-pass filtered phase

Purpose: To improve the generalization ability of convolutional neural n...

1 Jinwei Zhang, et al. ∙

research

∙ 03/29/2023

AnnoLLM: Making Large Language Models to Be Better Crowdsourced Annotators

Many natural language processing (NLP) tasks rely on labeled data to tra...

0 Xingwei He, et al. ∙

research

∙ 03/20/2023

Sparse Recovery with Shuffled Labels: Statistical Limits and Practical Estimators

This paper considers the sparse recovery with shuffled labels, i.e., = ...

0 Hang Zhang, et al. ∙

research

∙ 03/15/2023

DeDA: Deep Directed Accumulator

Chronic active multiple sclerosis lesions, also termed as rim+ lesions, ...

0 Hang Zhang, et al. ∙

research

∙ 01/19/2023

Spatially Covariant Lesion Segmentation

Compared to natural images, medical images usually show stronger visual ...

15 Hang Zhang, et al. ∙

research

∙ 12/18/2022

Curriculum Sampling for Dense Retrieval with Document Expansion

The dual-encoder has become the de facto architecture for dense retrieva...

0 Xingwei He, et al. ∙

research

∙ 12/14/2022

APOLLO: An Optimized Training Approach for Long-form Numerical Reasoning

Long-form numerical reasoning in financial analysis aims to generate a r...

0 Jiashuo Sun, et al. ∙

research

∙ 12/09/2022

Is Bio-Inspired Learning Better than Backprop? Benchmarking Bio Learning vs. Backprop

Bio-inspired learning has been gaining popularity recently given that Ba...

0 Manas Gupta, et al. ∙

research

∙ 11/01/2022

LARO: Learned Acquisition and Reconstruction Optimization to accelerate Quantitative Susceptibility Mapping

Quantitative susceptibility mapping (QSM) involves acquisition and recon...

0 Jinwei Zhang, et al. ∙

research

∙ 10/21/2022

Metric-guided Distillation: Distilling Knowledge from the Metric to Ranker and Retriever for Generative Commonsense Reasoning

Commonsense generation aims to generate a realistic sentence describing ...

0 Xingwei He, et al. ∙

research

∙ 10/18/2022

Sentiment-Aware Word and Sentence Level Pre-training for Sentiment Analysis

Most existing pre-trained language representation models (PLMs) are sub-...

9 Shuai Fan, et al. ∙

research

∙ 10/09/2022

Open-Vocabulary Semantic Segmentation with Mask-adapted CLIP

Open-vocabulary semantic segmentation aims to segment an image into sema...

36 Feng Liang, et al. ∙

research

∙ 09/27/2022

PROD: Progressive Distillation for Dense Retrieval

Knowledge distillation is an effective way to transfer knowledge from a ...

7 Zhenghao Lin, et al. ∙

research

∙ 07/09/2022

Efficient Backward Reachability Using the Minkowski Difference of Constrained Zonotopes

Backward reachability analysis is essential to synthesizing controllers ...

0 Liren Yang, et al. ∙

research

∙ 03/17/2022

Design of Compressed Sensing Systems via Density-Evolution Framework for Structure Recovery in Graphical Models

It has been shown that the task of learning the structure of Bayesian ne...

1 Muralikrishnna G. Sethuraman, et al. ∙

research

∙ 02/16/2022

Unified smoke and fire detection in an evolutionary framework with self-supervised progressive data augment

Few researches have studied simultaneous detection of smoke and flame ac...

1 Hang Zhang, et al. ∙

research

∙ 01/26/2022

CodeRetriever: Unimodal and Bimodal Contrastive Learning

In this paper, we propose the CodeRetriever model, which combines the un...

3 Xiaonan Li, et al. ∙

research

∙ 11/19/2021

FBNetV5: Neural Architecture Search for Multiple Tasks in One Run

Neural Architecture Search (NAS) has been widely adopted to design accur...

10 Bichen Wu, et al. ∙

research

∙ 11/11/2021

SyzScope: Revealing High-Risk Security Impacts of Fuzzer-Exposed Bugs in Linux kernel

Fuzzing has become one of the most effective bug finding approach for so...

0 Xiaochen Zou, et al. ∙

research

∙ 10/07/2021

Adversarial Retriever-Ranker for dense text retrieval

Current dense text retrieval models face two typical challenges. First, ...

4 Hang Zhang, et al. ∙

research

∙ 05/10/2021

Poolingformer: Long Document Modeling with Pooling Attention

In this paper, we introduce a two-level attention schema, Poolingformer,...

16 Hang Zhang, et al. ∙

research

∙ 05/04/2021

Motion Artifact Reduction in Quantitative Susceptibility Mapping using Deep Neural Network

An approach to reduce motion artifacts in Quantitative Susceptibility Ma...

4 Chao Li, et al. ∙

research

∙ 03/06/2021

NeRD: Neural Representation of Distribution for Medical Image Segmentation

We introduce Neural Representation of Distribution (NeRD) technique, a m...

13 Hang Zhang, et al. ∙

research

∙ 10/16/2020

Ensembling Low Precision Models for Binary Biomedical Image Segmentation

Segmentation of anatomical regions of interest such as vessels or small ...

9 Tianyu Ma, et al. ∙

research

∙ 09/29/2020

Geometric Loss for Deep Multiple Sclerosis lesion Segmentation

Multiple sclerosis (MS) lesions occupy a small fraction of the brain vol...

3 Hang Zhang, et al. ∙

research

∙ 09/22/2020

Differential Viewpoints for Ground Terrain Material Recognition

Computational surface modeling that underlies material recognition has t...

6 Jia Xue, et al. ∙

research

∙ 09/13/2020

Efficient Folded Attention for 3D Medical Image Reconstruction and Segmentation

Recently, 3D medical image reconstruction (MIR) and segmentation (MIS) b...

13 Hang Zhang, et al. ∙

research

∙ 07/28/2020

Extending LOUPE for K-space Under-sampling Pattern Optimization in Multi-coil MRI

The previously established LOUPE (Learning-based Optimization of the Und...

9 Jinwei Zhang, et al. ∙

research

∙ 04/30/2020

Improving Semantic Segmentation via Self-Training

Deep learning usually achieves the best results with complete supervisio...

8 Yi Zhu, et al. ∙

research

∙ 04/28/2020

Let's be Humorous: Knowledge Enhanced Humor Generation

The generation of humor is an under-explored and challenging problem. Pr...

0 Hang Zhang, et al. ∙

research

∙ 04/26/2020

An Efficient Index Method for the Optimal Route Query over Multi-Cost Networks

Smart city has been consider the wave of the future and the route recomm...

0 Yajun Yang, et al. ∙

research

∙ 04/19/2020

ResNeSt: Split-Attention Networks

While image classification models have recently continued to advance, mo...

16 Hang Zhang, et al. ∙

research

∙ 04/05/2020

FairNN- Conjoint Learning of Fair Representations for Fair Decisions

In this paper, we propose FairNN a neural network that performs joint fe...

0 Hongxin Hu, et al. ∙

research

∙ 03/13/2020

AutoGluon-Tabular: Robust and Accurate AutoML for Structured Data

We introduce AutoGluon-Tabular, an open-source AutoML framework that req...

4 Nick Erickson, et al. ∙

research

∙ 02/27/2020

RSANet: Recurrent Slice-wise Attention Network for Multiple Sclerosis Lesion Segmentation

Brain lesion volume measured on T2 weighted MRI images is a clinically i...

0 Hang Zhang, et al. ∙

research

∙ 09/05/2019

Permutation Recovery from Multiple Measurement Vectors in Unlabeled Sensing

In "Unlabeled Sensing", one observes a set of linear measurements of an ...

1 Hang Zhang, et al. ∙

research

∙ 07/18/2019

A Computer Vision Application for Assessing Facial Acne Severity from Selfie Images

We worked with Nestle Skin Health SHIELD (Skin Health, Innovation, Educa...

0 Tingting Zhao, et al. ∙

research

∙ 07/16/2019

2nd Place Solution to the GQA Challenge 2019

We present a simple method that achieves unexpectedly superior performan...

1 Shijie Geng, et al. ∙

research

∙ 07/09/2019

GluonCV and GluonNLP: Deep Learning in Computer Vision and Natural Language Processing

We present GluonCV and GluonNLP, the deep learning toolkits for computer...

5 Jian Guo, et al. ∙

research

∙ 04/26/2019

Dynamic Mini-batch SGD for Elastic Distributed Training: Learning in the Limbo of Resources

With an increasing demand for training powers for deep learning algorith...

12 Haibin Lin, et al. ∙

research

∙ 03/29/2019

DenseAttentionSeg: Segment Hands from Interacted Objects Using Depth Input

We propose a real-time DNN-based technique to segment hand and object of...

0 Zihao Bo, et al. ∙

research

∙ 03/04/2019

Workflow Scheduling in the Cloud with Weighted Upward-rank Priority Scheme Using Random Walk and Uniform Spare Budget Splitting

We study a difficult problem of how to schedule complex workflows with p...

0 Hang Zhang, et al. ∙

research

∙ 02/11/2019

Bag of Freebies for Training Object Detection Neural Networks

Comparing with enormous research achievements targeting better image cla...

2 Zhi Zhang, et al. ∙

research

∙ 02/04/2019

Blaze: Simplified High Performance Cluster Computing

MapReduce and its variants have significantly simplified and accelerated...

0 Junhao Li, et al. ∙

research

∙ 12/04/2018

Bag of Tricks for Image Classification with Convolutional Neural Networks

Much of the recent progress made in image classification research can be...

18 Junyuan Xie, et al. ∙

research

∙ 03/29/2018

Deep Texture Manifold for Ground Terrain Recognition

We present a texture network called Deep Encoding Pooling Network (DEP) ...

4 Jia Xue, et al. ∙

research

∙ 03/23/2018

Context Encoding for Semantic Segmentation

Recent work has made significant progress in improving spatial resolutio...

6 Hang Zhang, et al. ∙

research

∙ 06/14/2017

Photo-realistic Facial Texture Transfer

Style transfer methods have achieved significant success in recent years...

0 Parneet Kaur, et al. ∙

research

∙ 03/20/2017

Multi-style Generative Network for Real-time Transfer

Despite the rapid progress in style transfer, existing approaches using ...

0 Hang Zhang, et al. ∙

research

∙ 12/08/2016

Deep TEN: Texture Encoding Network

We propose a Deep Texture Encoding Network (Deep-TEN) with a novel Encod...

0 Hang Zhang, et al. ∙

Hang Zhang

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