no code implementations • 28 Oct 2023 • Quanlong Guan, Tong Zhu, Liangda Fang, Junming Qiu, Zhao-Rong Lai, Weiqi Luo
Firstly, we present a modification of the original KM postulates based on belief states.
1 code implementation • 12 Jun 2023 • Ziyi Xi, Wenmin Huang, Kangkang Wei, Weiqi Luo, Peijia Zheng
With the rapid evolution of AI Generated Content (AIGC), forged images produced through this technology are inherently more deceptive and require less human intervention compared to traditional Computer-generated Graphics (CG).
1 code implementation • 14 Feb 2023 • Zitao Liu, Qiongqiong Liu, Jiahao Chen, Shuyan Huang, Boyu Gao, Weiqi Luo, Jian Weng
In this paper, we proposed \emph{AT-DKT} to improve the prediction performance of the original deep knowledge tracing model with two auxiliary learning tasks, i. e., \emph{question tagging (QT) prediction task} and \emph{individualized prior knowledge (IK) prediction task}.
no code implementations • 14 Feb 2023 • Jiahao Chen, Zitao Liu, Shuyan Huang, Qiongqiong Liu, Weiqi Luo
The results demonstrate that our approach is superior on the KT prediction task, and it outperforms a wide range of deep learning based KT models in terms of prediction accuracy with better model interpretability.
1 code implementation • 14 Feb 2023 • Zitao Liu, Qiongqiong Liu, Jiahao Chen, Shuyan Huang, Weiqi Luo
Knowledge tracing (KT) is the problem of predicting students' future performance based on their historical interactions with intelligent tutoring systems.
no code implementations • ICCV 2023 • Ziliang Chen, Xin Huang, Quanlong Guan, Liang Lin, Weiqi Luo
The vision community is undergoing the unprecedented progress with the emergence of Vision-Language Pretraining Models (VLMs).
1 code implementation • 13 Jul 2022 • Jiahao Chen, Zitao Liu, Weiqi Luo
In this paper, we investigate the opportunities of automating the judgment process in online one-on-one math classes.
1 code implementation • 7 Jul 2022 • Ziyi Xi, Hao Lin, Weiqi Luo
The proposed network architecture includes a residual module for extracting image noise information and a joint channel information extraction module for capturing the shallow semantic information of image.
1 code implementation • 24 Jun 2022 • Jiahao Chen, Shuyan Huang, Zitao Liu, Weiqi Luo
In spite of the popularity and advantages of online learning, the education technology and educational data mining communities still suffer from the lack of large-scale, high-quality, and well-annotated teaching instruction datasets to study computational approaches to automatically detect online dialogic instructions and further improve the online teaching effectiveness.
1 code implementation • 24 Jun 2022 • Qiongqiong Liu, Yaying Huang, Zitao Liu, Shuyan Huang, Jiahao Chen, Xiangyu Zhao, Guimin Lin, Yuyu Zhou, Weiqi Luo
Sentence completion (SC) questions present a sentence with one or more blanks that need to be filled in, three to five possible words or phrases as options.
2 code implementations • 23 Jun 2022 • Zitao Liu, Qiongqiong Liu, Jiahao Chen, Shuyan Huang, Jiliang Tang, Weiqi Luo
However, the success behind deep learning based knowledge tracing (DLKT) approaches is still left somewhat unknown and proper measurement and analysis of these DLKT approaches remain a challenge.
no code implementations • 23 Jun 2022 • Shuyan Huang, Qiongqiong Liu, Jiahao Chen, Xiangen Hu, Zitao Liu, Weiqi Luo
We propose a simple but effective method to recommend exercises with high quality and diversity for students.
no code implementations • 24 Nov 2021 • Kangkang Wei, Weiqi Luo, Shunquan Tan, Jiwu Huang
The proposed method includes preprocessing, convolutional, and classification modules.
1 code implementation • 29 Sep 2021 • Hao Lin, Weiqi Luo, Kangkang Wei, Minglin Liu
Different from the middle flow in original Xception model, we try to catch different high-semantic features of the face images using different levels of convolution, and introduce the convolutional block attention module and feature fusion to refine and reorganize those high-semantic features.
no code implementations • 9 May 2021 • Sihang Chen, Weiqi Luo, Chao Yu
In recent years, quantitative investment methods combined with artificial intelligence have attracted more and more attention from investors and researchers.
no code implementations • 16 May 2020 • Hongwei Huang, Weiqi Luo, Guoqiang Zeng, Jian Weng, Yue Zhang, Anjia Yang
However, the DL models may be prone to the membership inference attack, where an attacker determines whether a given sample is from the training dataset.
1 code implementation • journal 2019 • Xiaoqing Deng, Bolin Chen, Weiqi Luo, Da Luo
To make a good tradeoff between training time and performance, we carefully design the architecture of the proposed network according to our extensive experiments.
1 code implementation • 30 Dec 2017 • Xiaoqian Zhang, Jian Weng, Weiqi Luo, Xiaoqing Tan
If a client wants to perform quantum computing but she does not have quantum computers with relevant quantum technologies.
Quantum Physics
no code implementations • 9 Sep 2017 • Bolin Chen, Haodong Li, Weiqi Luo
The extensive results show that the proposed method can outperform the currently best method based on hand crafted features and three related methods based on CNN for image steganalysis and/or forensics, achieving the state-of-the-art results.