Login

Zhaokang Huang

ORCID: 0009-0005-0872-0111
Publications
Citations
Views
---
Saved
---
About
Contact & Profiles
A5101487795
Research Areas
  • Topic Modeling
  • Multimodal Machine Learning Applications
  • Natural Language Processing Techniques

Guangdong University of Technology
 2024

 A Bayesian deep learning model with consolidation-to-tumor ratio (CTR) prior revolutionizes the prediction of spread through air spaces (STAS) in stage IA lung adenocarcinoma: a large-scale diagnostic study
OPENALEX - Publications 
Jie Cao Nan Chen Lingyu Zhou Yi Le Zhiyu Peng and 11 more Lin Qiu Haokun Wu Xin Tan Kunhao Wu Huahang Lin Zhaokang Huang Zetao Liu Chenglin Guo Xiuyuan Xu Yi Zhang Jiandong Mei

10.21037/tlcr-24-890 article EN Translational Lung Cancer Research 2025-05-01
 CGI-MRE: A Comprehensive Genetic-Inspired Model For Multimodal Relation Extraction
OPENALEX - Publications 
Pengfei Wei Zhaokang Huang H. F. Ouyang Qintai Hu Bi Zeng and 1 more Guang Feng

Multimodal Relation Extraction (MRE) is an entity relationship extraction method based on multimodal information. Most existing MRE methods have two issues: 1) Weak cross-modal correlation and poor semantic consistency. 2) They do not achieve text-guided fusion of different modalities, resulting in excessive introduction image noise. To address these issues, we propose innovative inspired by genetics-A Comprehensive Genetic-Inspired For (CGI-MRE). It consists main modules: Gene And...

10.1145/3652583.3658103 article EN 2024-05-30
Coming Soon ...