[HTML][HTML] Learning towards conversational AI: A survey

T Fu, S Gao, X Zhao, J Wen, R Yan - AI Open, 2022 - Elsevier
Recent years have witnessed a surge of interest in the field of open-domain dialogue.
Thanks to the rapid development of social media, large dialogue corpus from the Internet …

[HTML][HTML] Bitcoin price prediction using machine learning: An approach to sample dimension engineering

Z Chen, C Li, W Sun - Journal of Computational and Applied Mathematics, 2020 - Elsevier
After the boom and bust of cryptocurrencies' prices in recent years, Bitcoin has been
increasingly regarded as an investment asset. Because of its highly volatile nature, there is a …

Transfer learning method for plastic pollution evaluation in soil using NIR sensor

Z Qiu, S Zhao, X Feng, Y He - Science of The Total Environment, 2020 - Elsevier
Plastic debris are ubiquitous in soil and bring severe threatening to environment and
ecosystem. It is of great significance to extensively investigate the plastic pollution level in …

Human co-parsing guided alignment for occluded person re-identification

S Dou, C Zhao, X Jiang, S Zhang… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Occluded person re-identification (ReID) is a challenging task due to more background
noises and incomplete foreground information. Although existing human parsing-based …

Language model as an annotator: Unsupervised context-aware quality phrase generation

Z Zhang, Y Zuo, C Lin, J Wu - Knowledge-Based Systems, 2024 - Elsevier
Phrase mining is a fundamental text mining task that aims to identify quality phrases from
context. Nevertheless, the scarcity of extensive gold labels datasets, demanding substantial …

DHCF: Dual disentangled-view hierarchical contrastive learning for fake news detection on social media

H Wang, P Tang, H Kong, Y Jin, C Wu, L Zhou - Information Sciences, 2023 - Elsevier
Widespread fake news on social media threatens public security and the cyber environment,
making fake news detection an essential area of study. The majority of existing fake news …

A review of deep learning techniques for multimodal fake news and harmful languages detection

EF Ayetiran, Ö Özgöbek - IEEE Access, 2024 - ieeexplore.ieee.org
The detection of fake news and harmful languages has become increasingly important in
today's digital age. As the prevalence of fake news and harmful languages continue to …

The Risch differential equation problem

JH Davenport - SIAM Journal on Computing, 1986 - SIAM
We propose a new algorithm, similar to Hermite's method for the integration of rational
functions, for the resolution of Risch differential equations in closed form, or proving that they …

Ldpp: A learned directory placement policy in distributed file systems

Y Wang, F Yang, J Zhang, C Li, K Zhou, C Liu… - Proceedings of the 51st …, 2022 - dl.acm.org
Load balance is a critical problem in distributed file systems. Previous works focus on how to
distribute data evenly on different nodes or storage devices from the perspective of file level …

MDF: A Dynamic Fusion Model for Multi-modal Fake News Detection

H Lv, W Yang, F Wei, J Peng, H Geng - arXiv preprint arXiv:2406.19776, 2024 - arxiv.org
Fake news detection has received increasing attention from researchers in recent years,
especially multi-modal fake news detection containing both text and images. However, many …