Jie Feng | DeepAI

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Featured Co-authors

Wei Wang
492 publications
Bo Li
461 publications
Wei Liu
370 publications
Yan Wang
215 publications
Li Shen
141 publications
Yong Li
127 publications
Qingqing Wu
112 publications
Zhe Liu
107 publications
Kai Xu
104 publications
Shih-Fu Chang
103 publications
Guangtao Zhai
83 publications

∙ 12/31/2022

Spatiotemporal implicit neural representation for unsupervised dynamic MRI reconstruction

Supervised Deep-Learning (DL)-based reconstruction algorithms have shown...

0 Jie Feng, et al. ∙

∙ 12/15/2022

Two-stage Contextual Transformer-based Convolutional Neural Network for Airway Extraction from CT Images

Accurate airway extraction from computed tomography (CT) images is a cri...

0 Yanan Wu, et al. ∙

∙ 06/02/2022

SparseDet: Towards End-to-End 3D Object Detection

In this paper, we propose SparseDet for end-to-end 3D object detection f...

0 Jianhong Han, et al. ∙

∙ 08/13/2021

One-shot Transfer Learning for Population Mapping

Fine-grained population distribution data is of great importance for man...

0 Erzhuo Shao, et al. ∙

∙ 06/30/2021

MIMO Transmission Under Discrete Input Signal Constraints

In this paper, we propose a multiple-input multipleoutput (MIMO) transmi...

0 Jie Feng, et al. ∙

∙ 06/08/2021

PAM: Understanding Product Images in Cross Product Category Attribute Extraction

Understanding product attributes plays an important role in improving on...

0 Rongmei Lin, et al. ∙

∙ 04/30/2021

Dynamic Graph Convolutional Recurrent Network for Traffic Prediction: Benchmark and Solution

Traffic prediction is the cornerstone of an intelligent transportation s...

0 Fuxian Li, et al. ∙

∙ 03/06/2021

Intelligent Reflecting Surface Enhanced D2D Cooperative Computing

This paper investigates a device-to-device (D2D) cooperative computing s...

0 Sun Mao, et al. ∙

∙ 01/21/2021

MoG-QSM: Model-based Generative Adversarial Deep Learning Network for Quantitative Susceptibility Mapping

Quantitative susceptibility mapping (QSM) estimates the underlying tissu...

17 Ruimin Feng, et al. ∙

∙ 01/03/2021

AttnMove: History Enhanced Trajectory Recovery via Attentional Network

A considerable amount of mobility data has been accumulated due to the p...

0 Tong Xia, et al. ∙

∙ 08/19/2020

Modeling Complex Spatial Patterns with Temporal Features via Heterogenous Graph Embedding Networks

Multivariate time series (MTS) forecasting is an important problem in ma...

0 Yida Huang, et al. ∙

∙ 08/18/2020

Parallel Extraction of Long-term Trends and Short-term Fluctuation Framework for Multivariate Time Series Forecasting

Multivariate time series forecasting is widely used in various fields. R...

0 Haoyan Xu, et al. ∙

∙ 05/26/2020

End-to-end Optimized Video Compression with MV-Residual Prediction

We present an end-to-end trainable framework for P-frame compression in ...

0 XiangJi Wu, et al. ∙

∙ 05/16/2020

Graph Partitioning and Graph Neural Network based Hierarchical Graph Matching for Graph Similarity Computation

Graph similarity computation aims to predict a similarity score between ...

0 Haoyan Xu, et al. ∙

∙ 05/14/2020

Hierarchical and Fast Graph Similarity Computation via Graph Coarsening and Deep Graph Learning

In this work, we are interested in the large graph similarity computatio...

5 Haoyan Xu, et al. ∙

∙ 05/03/2020

Multivariate Time Series Forecasting Based on Causal Inference with Transfer Entropy and Graph Neural Network

Multivariate time series (MTS) forecasting is an important problem in ma...

0 Haoyan Xu, et al. ∙

∙ 12/01/2019

A SVBRDF Modeling Pipeline using Pixel Clustering

We present a pipeline for modeling spatially varying BRDFs (svBRDFs) of ...

0 Bo Li, et al. ∙

∙ 06/27/2019

An Algorithm for Transmitting VR Video Based on Adaptive Modulation

Virtual reality (VR) is making waves around the world recently. However,...

0 Jie Feng, et al. ∙

∙ 05/12/2019

Learning Phase Competition for Traffic Signal Control

Increasingly available city data and advanced learning techniques have e...

0 Guanjie Zheng, et al. ∙

∙ 10/25/2018

DeepDPM: Dynamic Population Mapping via Deep Neural Network

Dynamic high resolution data on human population distribution is of grea...

0 Zefang Zong, et al. ∙

∙ 06/16/2016

Deep Image Set Hashing

In applications involving matching of image sets, the information from m...

0 Jie Feng, et al. ∙

∙ 10/21/2014

Learning to Rank Binary Codes

Binary codes have been widely used in vision problems as a compact featu...

0 Jie Feng, et al. ∙

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