| 2026 | EACL | How to Contextualize Empirical Data for Risk Analysis with LLMs: A Case Study of Power Outages. | Haiyun Huang, Yukun Li, Marco A. Pretell, Jacob Naroian, Ebadah Khan, Liping Liu |
| 2025 | CogSci | Advancing Adolescent Depression Detection through Multi-Task EEG Signals and Biosignal Learning. | Aojun Wen, Zijing Guan, Zhiqiang Chen, Jun Xiao, Quanlin Chen, Jiahui Pan, Haiyun Huang |
| 2025 | CSCWD | Collaborative Deep Learning-based Video Stream Face Recognition with Load Balancing Strategy via RBC and GPU Scheduling. | Ruiling Gao, Jin Zhang, Wenyi Mao, Haiyun Huang, Jinjing Tan, Liping Li, Wenan Tan, Yingqi Hou |
| 2025 | ICASSP | EfficientSleepNet: A Novel Lightweight End-to-End Model for Automated Sleep Staging on Single-Channel EEG. | Fei Wang, Zekun Zheng, BangShun Hu, Xiaodong Yang, Maolin Tang, Haiyun Huang |
| 2024 | CogSci | A Novel Self-Supervised Learning Method for Sleep Staging and its Pilot Study on Patients with Disorder of Consciousness. | Jingcong Li, Quanlin Chen, Jiahui Pan, Haiyun Huang |
| 2014 | ICMLC | The prediction of pathogenicity of the influenza virus based on HA protein sequences. | Yi Zhang, Shili Jia, Haiyun Huang |