| Explainable depression detection with multi-aspect features using a hybrid deep learning model on social media H Zogan, I Razzak, X Wang, S Jameel, G Xu World Wide Web 25 (1), 281-304, 2022 | 119 | 2022 |
| Detecting community depression dynamics due to COVID-19 pandemic in Australia J Zhou, H Zogan, S Yang, S Jameel, G Xu, F Chen IEEE Transactions on Computational Social Systems 8 (4), 982-991, 2021 | 86 | 2021 |
| Depressionnet: learning multi-modalities with user post summarization for depression detection on social media H Zogan, I Razzak, S Jameel, G Xu proceedings of the 44th international ACM SIGIR conference on research and …, 2021 | 46 | 2021 |
| Hierarchical convolutional attention network for depression detection on social media and its impact during pandemic H Zogan, I Razzak, S Jameel, G Xu IEEE Journal of Biomedical and Health Informatics, 2023 | 12 | 2023 |
| Emotion tracking and grading based on sophisticated statistical approach MA Hossain, H Zogan, G Sanyal International Journal of Advances in Electronics and Computer Science 5 (3 …, 2018 | 10 | 2018 |
| IDoFew: Intermediate Training Using Dual-Clustering in Language Models for Few Labels Text Classification A Alsuhaibani, H Zogan, I Razzak, S Jameel, G Xu Proceedings of the 17th ACM International Conference on Web Search and Data …, 2024 | | 2024 |
| Deep Learning-Based Frameworks for Automated Identifying Depression Through Social Media HA Zogan | | 2023 |
| Detecting Community Depression Dynamics Due to COVID-19 Pandemic in Australia (preprint) J Zhou, H Zogan, S Yang, S Jameel, G Xu, F Chen | | 2020 |
| Depression detection with multi-modalities using a hybrid deep learning model on social media H Zogan, X Wang, S Jameel, G Xu | | 2020 |
Guandong Xu, PhDChair Professor EduHK, Professor UTSVerified email at uts.edu.au
