Search Results for author: Zijun Zhang

Found 9 papers, 5 papers with code

Rubik's Cube Operator: A Plug And Play Permutation Module for Better Arranging High Dimensional Industrial Data in Deep Convolutional Processes

no code implementations24 Mar 2022 Luoxiao Yang, Zhong Zheng, Zijun Zhang

The convolutional neural network (CNN) has been widely applied to process the industrial data based tensor input, which integrates data records of distributed industrial systems from the spatial, temporal, and system dynamics aspects.

Generative Wind Power Curve Modeling Via Machine Vision: A Self-learning Deep Convolutional Network Based Method

2 code implementations19 Aug 2021 Luoxiao Yang, Long Wang, Zijun Zhang

First, different from traditional studies regarding the WPC modeling as a curve fitting problem, in this paper, we renovate the WPC modeling formulation from a machine vision aspect.

Synthetic Data Generation

PSTN: Periodic Spatial-temporal Deep Neural Network for Traffic Condition Prediction

no code implementations5 Aug 2021 Tiange Wang, Zijun Zhang, Kwok-Leung Tsui

Accurate forecasting of traffic conditions is critical for improving safety, stability, and efficiency of a city transportation system.

Intelligent Railway Foreign Object Detection: A Semi-supervised Convolutional Autoencoder Based Method

no code implementations5 Aug 2021 Tiange Wang, Zijun Zhang, Fangfang Yang, Kwok-Leung Tsui

Most existing vision-based approaches focus on the detection of frontal intrusion objects with prior labels, such as categories and locations of the objects.

object-detection Object Detection

Automatic Rail Component Detection Based on AttnConv-Net

no code implementations5 Aug 2021 Tiange Wang, Zijun Zhang, Fangfang Yang, Kwok-Leung Tsui

The automatic detection of major rail components using railway images is beneficial to ensure the rail transport safety.

Data Augmentation

Neural Architecture Search for Joint Optimization of Predictive Power and Biological Knowledge

1 code implementation1 Sep 2019 Zijun Zhang, Linqi Zhou, Liangke Gou, Ying Nian Wu

We report a neural architecture search framework, BioNAS, that is tailored for biomedical researchers to easily build, evaluate, and uncover novel knowledge from interpretable deep learning models.

Neural Architecture Search

Perceptual Generative Autoencoders

2 code implementations ICML 2020 Zijun Zhang, Ruixiang Zhang, Zongpeng Li, Yoshua Bengio, Liam Paull

We therefore propose to map both the generated and target distributions to a latent space using the encoder of a standard autoencoder, and train the generator (or decoder) to match the target distribution in the latent space.

Removing the Feature Correlation Effect of Multiplicative Noise

1 code implementation NeurIPS 2018 Zijun Zhang, Yining Zhang, Zongpeng Li

Multiplicative noise, including dropout, is widely used to regularize deep neural networks (DNNs), and is shown to be effective in a wide range of architectures and tasks.

Image Classification

Normalized Direction-preserving Adam

1 code implementation ICLR 2018 Zijun Zhang, Lin Ma, Zongpeng Li, Chuan Wu

Adaptive optimization algorithms, such as Adam and RMSprop, have shown better optimization performance than stochastic gradient descent (SGD) in some scenarios.

General Classification

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