Jin Chen

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Megvii Technology Limited ∙ 263 ∙ University of Kentucky ∙ Beijing Institute of Technology

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CT Image Harmonization for Enhancing Radiomics Studies

While remarkable advances have been made in Computed Tomography (CT), ca...
07/03/2021 ∙ by Md. Selim, et al. ∙ 13 ∙ share

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Predicting Opioid Use Disorder from Longitudinal Healthcare Data using Multi-stream Transformer

Opioid Use Disorder (OUD) is a public health crisis costing the US billi...
03/16/2021 ∙ by Sajjad Fouladvand, et al. ∙ 0 ∙ share

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FAIR1M: A Benchmark Dataset for Fine-grained Object Recognition in High-Resolution Remote Sensing Imagery

With the rapid development of deep learning, many deep learning based ap...
03/09/2021 ∙ by Xian Sun, et al. ∙ 7 ∙ share

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Efficient Optimal Selection for Composited Advertising Creatives with Tree Structure

Ad creatives are one of the prominent mediums for online e-commerce adve...
03/02/2021 ∙ by Jin Chen, et al. ∙ 0 ∙ share

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Automated Creative Optimization for E-Commerce Advertising

Advertising creatives are ubiquitous in E-commerce advertisements and ae...
02/28/2021 ∙ by Jin Chen, et al. ∙ 0 ∙ share

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ELMV: a Ensemble-Learning Approach for Analyzing Electrical Health Records with Significant Missing Values

Many real-world Electronic Health Record (EHR) data contains a large pro...
06/25/2020 ∙ by Lucas J. Liu, et al. ∙ 0 ∙ share

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STAN-CT: Standardizing CT Image using Generative Adversarial Network

Computed tomography (CT) plays an important role in lung malignancy diag...
04/02/2020 ∙ by Md. Selim, et al. ∙ 0 ∙ share

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Dynamic Region-Aware Convolution

We propose a new convolution called Dynamic Region-Aware Convolution (DR...
03/27/2020 ∙ by Jin Chen, et al. ∙ 0 ∙ share

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Adaptive Graph Convolutional Network with Attention Graph Clustering for Co-saliency Detection

Co-saliency detection aims to discover the common and salient foreground...
03/13/2020 ∙ by Kaihua Zhang, et al. ∙ 0 ∙ share

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Video Saliency Prediction Using Enhanced Spatiotemporal Alignment Network

Due to a variety of motions across different frames, it is highly challe...
01/02/2020 ∙ by Jin Chen, et al. ∙ 13 ∙ share

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Deep Object Co-segmentation via Spatial-Semantic Network Modulation

Object co-segmentation is to segment the shared objects in multiple rele...
11/29/2019 ∙ by Kaihua Zhang, et al. ∙ 1 ∙ share

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DeepAAA: clinically applicable and generalizable detection of abdominal aortic aneurysm using deep learning

We propose a deep learning-based technique for detection and quantificat...
07/04/2019 ∙ by Jen-Tang Lu, et al. ∙ 0 ∙ share

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Domain Adversarial Reinforcement Learning for Partial Domain Adaptation

Partial domain adaptation aims to transfer knowledge from a label-rich s...
05/10/2019 ∙ by Jin Chen, et al. ∙ 0 ∙ share

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A Game-Theoretic Learning Framework for Multi-Agent Intelligent Wireless Networks

In this article, we introduce a game-theoretic learning framework for th...
12/04/2018 ∙ by Jinlong Wang, et al. ∙ 0 ∙ share

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Network-Connected UAV Communications: Potentials and Challenges

This article explores the use of network-connected unmanned aerial vehic...
05/29/2018 ∙ by Haichao Wang, et al. ∙ 0 ∙ share

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Power Control in UAV-Supported Ultra Dense Networks: Communications, Caching, and Energy Transfer

By means of network densification, ultra dense networks (UDNs) can effic...
11/29/2017 ∙ by Haichao Wang, et al. ∙ 0 ∙ share

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Joint Multi-Leaf Segmentation, Alignment and Tracking from Fluorescence Plant Videos

This paper proposes a novel framework for fluorescence plant video proce...
05/02/2015 ∙ by Xi Yin, et al. ∙ 0 ∙ share

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