no code implementations • 4 May 2023 • Tao Xu, Bo Wu, Ruilong Fan, Yun Zhou, Di Huang
Furthermore, our method outperforms existing lightweight methods in terms of accuracy and efficiency for the gaze estimation task.
no code implementations • 5 Jul 2022 • Yun Zhou, Boying Gong, Tao Jiang, Ting Xu, Haiyan Huang
Recent years have seen substantial advances in the development of biofunctional materials using synthetic polymers.
no code implementations • 27 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.
no code implementations • 1 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.
no code implementations • 23 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.
no code implementations • 23 Oct 2020 • Hanshuang Tong, Yun Zhou, Zhen Wang
Knowledge tracing is a fundamental task in the computer-aid educational system.
no code implementations • Findings of the Association for Computational Linguistics 2020 • Jiecao Chen, Liu Yang, Karthik Raman, Michael Bendersky, Jung-Jung Yeh, Yun Zhou, Marc Najork, Danyang Cai, Ehsan Emadzadeh
Pre-trained models like BERT (Devlin et al., 2018) have dominated NLP / IR applications such as single sentence classification, text pair classification, and question answering.
no code implementations • 6 Oct 2020 • Yun Zhou
In this paper, we use Multi-Task Learning (MTL) and oversampling methods to address those challenges of network intrusion detection.
no code implementations • 13 Jun 2020 • Hanshuang Tong, Zhen Wang, Yun Zhou, Shiwei Tong, Wenyuan Han, Qi Liu
To solve the above problems, we propose a hierarchical graph knowledge tracing model called HGKT to explore the latent hierarchical relations between exercises.
no code implementations • 8 Feb 2020 • Hao Zhou, Wengang Zhou, Yun Zhou, Houqiang Li
Our STMC network consists of a spatial multi-cue (SMC) module and a temporal multi-cue (TMC) module.
no code implementations • 29 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
no code implementations • 16 Oct 2018 • Yue Lu, Yun Zhou, Zhuqing Jiang, Xiaoqiang Guo, Zixuan Yang
Convolutional neural networks (CNNs) have demonstrated superior performance in super-resolution (SR).
no code implementations • 30 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.
no code implementations • 4 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.