b'Jin Chen'

research

∙ 06/28/2022

Cooperative Retriever and Ranker in Deep Recommenders

Deep recommender systems jointly leverage the retrieval and ranking oper...

Xu Huang, et al. ∙

research

∙ 06/03/2022

Multivariate Sparse Group Lasso Joint Model for Radiogenomics Data

Radiogenomics is an emerging field in cancer research that combines medi...

Tiantian Zeng, et al. ∙

research

∙ 05/30/2022

Cache-Augmented Inbatch Importance Resampling for Training Recommender Retriever

Recommender retrievers aim to rapidly retrieve a fraction of items from ...

Jin Chen, et al. ∙

research

∙ 01/19/2022

FRA-LSTM: A Vessel Trajectory Prediction Method Based on Fusion of the Forward and Reverse Sub-Network

In order to improve the vessel's capacity and ensure maritime traffic sa...

Jin Chen, et al. ∙

research

∙ 10/19/2021

Cross-Vendor CT Image Data Harmonization Using CVH-CT

While remarkable advances have been made in Computed Tomography (CT), mo...

Md. Selim, et al. ∙

research

∙ 09/13/2021

Fast Variational AutoEncoder with Inverted Multi-Index for Collaborative Filtering

Variational AutoEncoder (VAE) has been extended as a representative nonl...

Jin Chen, et al. ∙

research

∙ 09/02/2021

Learning 3D Mineral Prospectivity from 3D Geological Models with Convolutional Neural Networks: Application to a Structure-controlled Hydrothermal Gold Deposit

The three-dimensional (3D) geological models are the typical and key dat...

Hao Deng, et al. ∙

research

∙ 07/03/2021

CT Image Harmonization for Enhancing Radiomics Studies

While remarkable advances have been made in Computed Tomography (CT), ca...

Md. Selim, et al. ∙

research

∙ 03/16/2021

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...

Sajjad Fouladvand, et al. ∙

research

∙ 03/09/2021

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...

Xian Sun, et al. ∙

research

∙ 03/02/2021

Efficient Optimal Selection for Composited Advertising Creatives with Tree Structure

Ad creatives are one of the prominent mediums for online e-commerce adve...

Jin Chen, et al. ∙

research

∙ 02/28/2021

Automated Creative Optimization for E-Commerce Advertising

Advertising creatives are ubiquitous in E-commerce advertisements and ae...

Jin Chen, et al. ∙

research

∙ 06/25/2020

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...

Lucas J. Liu, et al. ∙

research

∙ 04/02/2020

STAN-CT: Standardizing CT Image using Generative Adversarial Network

Computed tomography (CT) plays an important role in lung malignancy diag...

Md. Selim, et al. ∙

research

∙ 03/27/2020

Dynamic Region-Aware Convolution

We propose a new convolution called Dynamic Region-Aware Convolution (DR...

Jin Chen, et al. ∙

research

∙ 03/13/2020

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

Co-saliency detection aims to discover the common and salient foreground...

Kaihua Zhang, et al. ∙

research

∙ 01/02/2020

Video Saliency Prediction Using Enhanced Spatiotemporal Alignment Network

Due to a variety of motions across different frames, it is highly challe...

Jin Chen, et al. ∙

research

∙ 11/29/2019

Deep Object Co-segmentation via Spatial-Semantic Network Modulation

Object co-segmentation is to segment the shared objects in multiple rele...

Kaihua Zhang, et al. ∙

research

∙ 07/04/2019

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

We propose a deep learning-based technique for detection and quantificat...

Jen-Tang Lu, et al. ∙

research

∙ 05/10/2019

Domain Adversarial Reinforcement Learning for Partial Domain Adaptation

Partial domain adaptation aims to transfer knowledge from a label-rich s...

Jin Chen, et al. ∙

research

∙ 12/04/2018

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

In this article, we introduce a game-theoretic learning framework for th...

Jinlong Wang, et al. ∙

research

∙ 05/29/2018

Network-Connected UAV Communications: Potentials and Challenges

This article explores the use of network-connected unmanned aerial vehic...

Haichao Wang, et al. ∙

research

∙ 11/29/2017

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

By means of network densification, ultra dense networks (UDNs) can effic...

Haichao Wang, et al. ∙

research

∙ 05/02/2015

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

This paper proposes a novel framework for fluorescence plant video proce...

Xi Yin, et al. ∙

Jin Chen

Featured Co-authors

Hao Chen

Xin Liu

Jian Sun

Jie Zhang

Bo Liu

Xiangyu Zhang

Xing Xie

Cheng Wang

Xiaoming Liu

Enhong Chen

Zheng Liu

Cooperative Retriever and Ranker in Deep Recommenders

Multivariate Sparse Group Lasso Joint Model for Radiogenomics Data

Cache-Augmented Inbatch Importance Resampling for Training Recommender Retriever

FRA-LSTM: A Vessel Trajectory Prediction Method Based on Fusion of the Forward and Reverse Sub-Network

Cross-Vendor CT Image Data Harmonization Using CVH-CT

Fast Variational AutoEncoder with Inverted Multi-Index for Collaborative Filtering

Learning 3D Mineral Prospectivity from 3D Geological Models with Convolutional Neural Networks: Application to a Structure-controlled Hydrothermal Gold Deposit

CT Image Harmonization for Enhancing Radiomics Studies

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

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

Efficient Optimal Selection for Composited Advertising Creatives with Tree Structure

Automated Creative Optimization for E-Commerce Advertising

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

STAN-CT: Standardizing CT Image using Generative Adversarial Network

Dynamic Region-Aware Convolution

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

Video Saliency Prediction Using Enhanced Spatiotemporal Alignment Network

Deep Object Co-segmentation via Spatial-Semantic Network Modulation

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

Domain Adversarial Reinforcement Learning for Partial Domain Adaptation

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

Network-Connected UAV Communications: Potentials and Challenges

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

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