Search Results for author: Yun Zhou

Found 12 papers, 0 papers with code

DAGAM: A Domain Adversarial Graph Attention Model for Subject Independent EEG-Based Emotion Recognition

no code implementations27 Feb 2022 Tao Xu, Wang Dang, Jiabao Wang, Yun Zhou

One of the most significant challenges of EEG-based emotion recognition is the cross-subject EEG variations, leading to poor performance and generalizability.

EEG Emotion Recognition +1

Rethinking Feature Uncertainty in Stochastic Neural Networks for Adversarial Robustness

no code implementations1 Jan 2022 Hao Yang, Min Wang, Zhengfei Yu, Yun Zhou

Extensive experiments on well-known white- and black-box attacks show that MFDV-SNN achieves a significant improvement over existing methods, which indicates that it is a simple but effective method to improve model robustness.

Adversarial Robustness

Exploring Common and Individual Characteristics of Students via Matrix Recovering

no code implementations23 Oct 2020 Zhen Wang, Ben Teng, Yun Zhou, Hanshuang Tong, Guangtong Liu

We assume that the characteristics matrix of students' is composed of two parts: one is a low-rank matrix representing the common characteristics of students; the other is a sparse matrix representing individual characteristics of students.

Exercise Hierarchical Feature Enhanced Knowledge Tracing

no code implementations23 Oct 2020 Hanshuang Tong, Yun Zhou, Zhen Wang

Knowledge tracing is a fundamental task in the computer-aid educational system.

Knowledge Tracing

The Effective Methods for Intrusion Detection With Limited Network Attack Data: Multi-Task Learning and Oversampling

no code implementations6 Oct 2020 Yun Zhou

In this paper, we use Multi-Task Learning (MTL) and oversampling methods to address those challenges of network intrusion detection.

Multi-Task Learning Network Intrusion Detection

HGKT: Introducing Hierarchical Exercise Graph for Knowledge Tracing

no code implementations13 Jun 2020 Hanshuang Tong, Zhen Wang, Qi Liu, Yun Zhou, Wenyuan Han

To solve the above problems, we propose a hierarchical graph knowledge tracing model called HGKT to explore the latent hierarchical relations between exercises.

Knowledge Tracing

A Multi-Agent-Based Rolling Optimization Method for Restoration Scheduling of Electrical Distribution Systems with Distributed Generation

no code implementations29 Dec 2018 Donghan Feng, Fan Wu, Yun Zhou, Usama Rahman, Xiaojin Zhao, Chen Fang

A multi-agent-based rolling optimization method for EDS restoration scheduling is proposed in this paper.

Signal Processing

Channel Attention and Multi-level Features Fusion for Single Image Super-Resolution

no code implementations16 Oct 2018 Yue Lu, Yun Zhou, Zhuqing Jiang, Xiaoqiang Guo, Zixuan Yang

Convolutional neural networks (CNNs) have demonstrated superior performance in super-resolution (SR).

Image Super-Resolution

Providing Effective Real-time Feedback in Simulation-based Surgical Training

no code implementations30 Jun 2017 Xingjun Ma, Sudanthi Wijewickrema, Yun Zhou, Shuo Zhou, Stephen O'Leary, James Bailey

Experimental results in a temporal bone surgery simulation show that the proposed method is able to extract highly effective feedback at a high level of efficiency.

Adversarial Generation of Real-time Feedback with Neural Networks for Simulation-based Training

no code implementations4 Mar 2017 Xingjun Ma, Sudanthi Wijewickrema, Shuo Zhou, Yun Zhou, Zakaria Mhammedi, Stephen O'Leary, James Bailey

It is the aim of this paper to develop an efficient and effective feedback generation method for the provision of real-time feedback in SBT.

Cannot find the paper you are looking for? You can Submit a new open access paper.