Pinned Repositories
HMCAN
binary-classification
使用Bert进行二分类
COMP_5331_Project_Fake_News_Detection
- Image classification using Deep learning. - Utilizing both frequency and pixel domain information of images. - Implemented MVNN model from a research paper published in 2019 IEEE ICDM. Achieved comparable accuracy to the original model. - Compared with several deep learning models: Pre-trained (VGG-16, VGG-19) and our own implementations of CNN based models (with different number of layers) - Research project utilized as a part of a course: COMP 5331 - Knowledge Discovery in Databases, from HKUST (The Hong Kong University of Science and Technology). - Referenced paper (for MVNN model) - P. Qi, J. Cao, T. Yang, J. Guo, and J. Li. Exploiting multi-domain visual information for fake news detection. In 2019 IEEE International Conference on Data Mining (ICDM), pages 518–527, 2019.
fake-news-datasets
This repository contains list of available fake news datasets for data mining.
lxmert
PyTorch code for EMNLP 2019 paper "LXMERT: Learning Cross-Modality Encoder Representations from Transformers".
multimodal
TorchMultimodal is a PyTorch library for training state-of-the-art multimodal multi-task models at scale.
SpotFake
yanghongqi123's Repositories
yanghongqi123/SpotFake
yanghongqi123/binary-classification
使用Bert进行二分类
yanghongqi123/COMP_5331_Project_Fake_News_Detection
- Image classification using Deep learning. - Utilizing both frequency and pixel domain information of images. - Implemented MVNN model from a research paper published in 2019 IEEE ICDM. Achieved comparable accuracy to the original model. - Compared with several deep learning models: Pre-trained (VGG-16, VGG-19) and our own implementations of CNN based models (with different number of layers) - Research project utilized as a part of a course: COMP 5331 - Knowledge Discovery in Databases, from HKUST (The Hong Kong University of Science and Technology). - Referenced paper (for MVNN model) - P. Qi, J. Cao, T. Yang, J. Guo, and J. Li. Exploiting multi-domain visual information for fake news detection. In 2019 IEEE International Conference on Data Mining (ICDM), pages 518–527, 2019.
yanghongqi123/fake-news-datasets
This repository contains list of available fake news datasets for data mining.
yanghongqi123/lxmert
PyTorch code for EMNLP 2019 paper "LXMERT: Learning Cross-Modality Encoder Representations from Transformers".
yanghongqi123/multimodal
TorchMultimodal is a PyTorch library for training state-of-the-art multimodal multi-task models at scale.