Xia Zhu | DeepAI

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Featured Co-authors

Qi Zhang
242 publications
Ce Zhang
133 publications
Qing Yang
40 publications
Yujing Wang
38 publications
Yunhai Tong
38 publications
Dipankar Das
36 publications
Yida Wang
35 publications
Jing Bai
22 publications
Peter J. Ramadge
21 publications
Bharat Kaul
19 publications
Theodore L. Willke
16 publications

∙ 03/02/2023

Interpretable System Identification and Long-term Prediction on Time-Series Data

Time-series prediction has drawn considerable attention during the past ...

0 Xiaoyi Liu, et al. ∙

∙ 03/13/2021

Spectral Temporal Graph Neural Network for Multivariate Time-series Forecasting

Multivariate time-series forecasting plays a crucial role in many real-w...

0 Defu Cao, et al. ∙

∙ 06/04/2020

MFPP: Morphological Fragmental Perturbation Pyramid for Black-Box Model Explanations

With the increasing popularity of deep neural networks (DNNs), it has re...

4 Qing Yang, et al. ∙

∙ 05/11/2020

Incorporating structured assumptions with probabilistic graphical models in fMRI data analysis

With the wide adoption of functional magnetic resonance imaging (fMRI) b...

0 Ming Bo Cai, et al. ∙

∙ 04/24/2020

PipeNet: Selective Modal Pipeline of Fusion Network for Multi-Modal Face Anti-Spoofing

Face anti-spoofing has become an increasingly important and critical sec...

4 Qing Yang, et al. ∙

∙ 03/10/2020

Channel Pruning via Optimal Thresholding

Structured pruning, especially channel pruning is widely used for the re...

17 Yun Ye, et al. ∙

∙ 09/04/2018

Out-of-Distribution Detection Using an Ensemble of Self Supervised Leave-out Classifiers

As deep learning methods form a critical part in commercially important ...

0 Apoorv Vyas, et al. ∙

∙ 11/17/2017

Segmenting Brain Tumors with Symmetry

We explore encoding brain symmetry into a neural network for a brain tum...

0 Hejia Zhang, et al. ∙

∙ 09/29/2016

A Searchlight Factor Model Approach for Locating Shared Information in Multi-Subject fMRI Analysis

There is a growing interest in joint multi-subject fMRI analysis. The ch...

0 Hejia Zhang, et al. ∙

∙ 08/17/2016

A Convolutional Autoencoder for Multi-Subject fMRI Data Aggregation

Finding the most effective way to aggregate multi-subject fMRI data is a...

0 Po-Hsuan Chen, et al. ∙

∙ 08/16/2016

Enabling Factor Analysis on Thousand-Subject Neuroimaging Datasets

The scale of functional magnetic resonance image data is rapidly increas...

0 Michael J. Anderson, et al. ∙

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