Depression Detection with Multi-Modalities Using a Hybrid Deep Learning Model on Social Media. - Hamad Zogan; Xianzhi Wang 001; Shoaib Jameel; Guandong Xu (CoRR, 2020)

DepressionNet: Learning Multi-modalities with User Post Summarization for Depression Detection on Social Media. - Hamad Zogan; Imran Razzak; Shoaib Jameel; Guandong Xu (SIGIR, 2021)

DepressionNet: A Novel Summarization Boosted Deep Framework for Depression Detection on Social Media. - Hamad Zogan; Imran Razzak; Shoaib Jameel; Guandong Xu (CoRR, 2021)

Detecting Community Depression Dynamics Due to COVID-19 Pandemic in Australia. - Jianlong Zhou; Hamad Zogan; Shuiqiao Yang; Shoaib Jameel; Guandong Xu; Fang Chen 001 (IEEE Trans. Comput. Soc. Syst., 2021)

Explainable depression detection with multi-aspect features using a hybrid deep learning model on social media. - Hamad Zogan; Imran Razzak; Xianzhi Wang 001; Shoaib Jameel; Guandong Xu (World Wide Web, 2022)

IDoFew: Intermediate Training Using Dual-Clustering in Language Models for Few Labels Text Classification. - Abdullah Alsuhaibani; Hamad Zogan; Imran Razzak; Shoaib Jameel; Guandong Xu (WSDM, 2024)

NarrationDep: Narratives on Social Media For Automatic Depression Detection. - Hamad Zogan; Imran Razzak; Shoaib Jameel; Guandong Xu (CoRR, 2024)

Hierarchical Convolutional Attention Network for Depression Detection on Social Media and Its Impact During Pandemic. - Hamad Zogan; Imran Razzak; Shoaib Jameel; Guandong Xu (IEEE J. Biomed. Health Informatics, 2024)