Search Results for author: Jie Gui

Found 22 papers, 9 papers with code

No Place to Hide: Dual Deep Interaction Channel Network for Fake News Detection based on Data Augmentation

no code implementations31 Mar 2023 Biwei Cao, Lulu Hua, Jiuxin Cao, Jie Gui, Bo Liu, James Tin-Yau Kwok

Different from popular methods which take full advantage of the propagation topology structure, in this paper, we propose a novel framework for fake news detection from perspectives of semantic, emotion and data enhancement, which excavates the emotional evolution patterns of news participants during the propagation process, and a dual deep interaction channel network of semantic and emotion is designed to obtain a more comprehensive and fine-grained news representation with the consideration of comments.

Data Augmentation Fake News Detection

Adversarial Attack and Defense for Dehazing Networks

1 code implementation30 Mar 2023 Jie Gui, Xiaofeng Cong, Chengwei Peng, Yuan Yan Tang, James Tin-Yau Kwok

In this paper, we focus on designing a group of attack methods based on first order gradient to verify the robustness of the existing dehazing algorithms.

Adversarial Attack Image Dehazing +1

A Survey on Self-supervised Learning: Algorithms, Applications, and Future Trends

1 code implementation13 Jan 2023 Jie Gui, Tuo Chen, Jing Zhang, Qiong Cao, Zhenan Sun, Hao Luo, DaCheng Tao

Deep supervised learning algorithms typically require a large volume of labeled data to achieve satisfactory performance.

Self-Supervised Learning

Fast Online Hashing with Multi-Label Projection

1 code implementation3 Dec 2022 Wenzhe Jia, Yuan Cao, Junwei Liu, Jie Gui

When a new query arrives, only the binary codes of the corresponding potential neighbors are updated.


Good helper is around you: Attention-driven Masked Image Modeling

1 code implementation28 Nov 2022 Zhengqi Liu, Jie Gui, Hao Luo

Most previous works mask patches of the image randomly, which underutilizes the semantic information that is beneficial to visual representation learning.

Representation Learning Self-Supervised Learning

Feedback Pyramid Attention Networks for Single Image Super-Resolution

no code implementations13 Jun 2021 Huapeng Wu, Jie Gui, Jun Zhang, James T. Kwok, Zhihui Wei

Recently, convolutional neural network (CNN) based image super-resolution (SR) methods have achieved significant performance improvement.

Image Super-Resolution

Pyramidal Dense Attention Networks for Lightweight Image Super-Resolution

no code implementations13 Jun 2021 Huapeng Wu, Jie Gui, Jun Zhang, James T. Kwok, Zhihui Wei

Recently, deep convolutional neural network methods have achieved an excellent performance in image superresolution (SR), but they can not be easily applied to embedded devices due to large memory cost.

Image Super-Resolution

A Comprehensive Survey and Taxonomy on Single Image Dehazing Based on Deep Learning

1 code implementation7 Jun 2021 Jie Gui, Xiaofeng Cong, Yuan Cao, Wenqi Ren, Jun Zhang, Jing Zhang, Jiuxin Cao, DaCheng Tao

With the development of convolutional neural networks, hundreds of deep learning based dehazing methods have been proposed.

Image Dehazing Single Image Dehazing

Learning Rates for Multi-task Regularization Networks

no code implementations1 Apr 2021 Jie Gui, Haizhang Zhang

Multi-task learning is an important trend of machine learning in facing the era of artificial intelligence and big data.

BIG-bench Machine Learning Multi-Task Learning

Delving into Variance Transmission and Normalization: Shift of Average Gradient Makes the Network Collapse

1 code implementation22 Mar 2021 Yuxiang Liu, Jidong Ge, Chuanyi Li, Jie Gui

We propose Parametric Weights Standardization (PWS), a fast and robust to mini-batch size module used for conv filters, to solve the shift of the average gradient.

Randomized Kernel Multi-view Discriminant Analysis

no code implementations2 Apr 2020 Xiaoyun Li, Jie Gui, Ping Li

In this paper, we propose the kernel version of multi-view discriminant analysis, called kernel multi-view discriminant analysis (KMvDA).

Object Recognition

Deep Human Answer Understanding for Natural Reverse QA

no code implementations1 Dec 2019 Rujing Yao, Linlin Hou, Lei Yang, Jie Gui, Qing Yin, Ou wu

This study focuses on a reverse question answering (QA) procedure, in which machines proactively raise questions and humans supply the answers.

Question Answering

Multi-grained Attention Networks for Single Image Super-Resolution

no code implementations26 Sep 2019 Huapeng Wu, Zhengxia Zou, Jie Gui, Wen-Jun Zeng, Jieping Ye, Jun Zhang, Hongyi Liu, Zhihui Wei

In this paper, we make a thorough investigation on the attention mechanisms in a SR model and shed light on how simple and effective improvements on these ideas improve the state-of-the-arts.

Feature Importance Image Super-Resolution

AHash: A Load-Balanced One Permutation Hash

1 code implementation25 Sep 2019 Chenxingyu Zhao, Jie Gui, Yixiao Guo, Jie Jiang, Tong Yang, Bin Cui, Gong Zhang

Unlike the densification to fill the empty bins after they undesirably occur, our design goal is to balance the load so as to reduce the empty bins in advance.

Fast Supervised Discrete Hashing

no code implementations7 Apr 2019 Jie Gui, Tongliang Liu, Zhenan Sun, DaCheng Tao, Tieniu Tan

Rather than adopting this method, FSDH uses a very simple yet effective regression of the class labels of training examples to the corresponding hash code to accelerate the algorithm.


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