Jiong Zhang | DeepAI

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Jiang Liu
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∙ 05/31/2023

Representer Point Selection for Explaining Regularized High-dimensional Models

We introduce a novel class of sample-based explanations we term high-dim...

0 Che-Ping Tsai, et al. ∙

∙ 05/21/2023

PINA: Leveraging Side Information in eXtreme Multi-label Classification via Predicted Instance Neighborhood Aggregation

The eXtreme Multi-label Classification (XMC) problem seeks to find relev...

0 Eli Chien, et al. ∙

∙ 08/23/2022

Retinal Structure Detection in OCTA Image via Voting-based Multi-task Learning

Automated detection of retinal structures, such as retinal vessels (RV),...

11 Jinkui Hao, et al. ∙

∙ 07/25/2022

Sparse-based Domain Adaptation Network for OCTA Image Super-Resolution Reconstruction

Retinal Optical Coherence Tomography Angiography (OCTA) with high-resolu...

6 Huaying Hao, et al. ∙

∙ 10/29/2021

Node Feature Extraction by Self-Supervised Multi-scale Neighborhood Prediction

Learning on graphs has attracted significant attention in the learning c...

19 Eli Chien, et al. ∙

∙ 10/01/2021

Fast Multi-Resolution Transformer Fine-tuning for Extreme Multi-label Text Classification

Extreme multi-label text classification (XMC) seeks to find relevant lab...

9 Jiong Zhang, et al. ∙

∙ 06/23/2021

Extreme Multi-label Learning for Semantic Matching in Product Search

We consider the problem of semantic matching in product search: given a ...

4 Wei-Cheng Chang, et al. ∙

∙ 02/26/2021

3D Vessel Reconstruction in OCT-Angiography via Depth Map Estimation

Optical Coherence Tomography Angiography (OCTA) has been increasingly us...

9 Shuai Yu, et al. ∙

∙ 07/10/2020

ROSE: A Retinal OCT-Angiography Vessel Segmentation Dataset and New Model

Optical Coherence Tomography Angiography (OCT-A) is a non-invasive imagi...

6 Yuhui Ma, et al. ∙

∙ 03/08/2020

Trajectory Grouping with Curvature Regularization for Tubular Structure Tracking

Tubular structure tracking is an important and difficult problem in the ...

9 Li Liu, et al. ∙

∙ 05/08/2019

AutoAssist: A Framework to Accelerate Training of Deep Neural Networks

Deep neural networks have yielded superior performance in many applicati...

28 Jiong Zhang, et al. ∙

∙ 09/21/2018

Minimal Paths for Tubular Structure Segmentation with Coherence Penalty and Adaptive Anisotropy

The minimal path method has proven to be particularly useful and efficie...

2 Da Chen, et al. ∙

∙ 03/25/2018

Stabilizing Gradients for Deep Neural Networks via Efficient SVD Parameterization

Vanishing and exploding gradients are two of the main obstacles in train...

0 Jiong Zhang, et al. ∙

∙ 03/17/2018

Learning Long Term Dependencies via Fourier Recurrent Units

It is a known fact that training recurrent neural networks for tasks tha...

0 Jiong Zhang, et al. ∙

∙ 07/21/2017

Retinal Microaneurysms Detection using Local Convergence Index Features

Retinal microaneurysms are the earliest clinical sign of diabetic retino...

0 Behdad Dashtbozorg, et al. ∙

∙ 10/20/2016

Retrieving challenging vessel connections in retinal images by line co-occurrence statistics

Natural images contain often curvilinear structures, which might be disc...

0 Samaneh Abbasi-Sureshjani, et al. ∙

∙ 05/31/2016

Extreme Stochastic Variational Inference: Distributed and Asynchronous

We propose extreme stochastic variational inference (ESVI), an asynchron...

0 Jiong Zhang, et al. ∙

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