PIE: A Personalized Information Embedded model for text-based depression detection. - Yang Wu 011; Zhenyu Liu 006; Jiaqian Yuan; Bailin Chen; Hanshu Cai; Lin Liu; Yimiao Zhao; Huan Mei; Jiahui Deng; Yanping Bao; Bin Hu 001 (Inf. Process. Manag., 2024)

Stimulus-Response Patterns: The Key to Giving Generalizability to Text-Based Depression Detection Models. - Zhenyu Liu 006; Yang Wu 011; Haibo Zhang; Gang Li; Zhijie Ding; Bin Hu 001 (IEEE J. Biomed. Health Informatics, 2024)

MPDRM: A Multi-Scale Personalized Depression Recognition Model via facial movements. - Zhenyu Liu 006; Bailin Chen; Shimao Zhang; Jiaqian Yuan; Yang Wu 011; Hanshu Cai; Xin Chen; Lin Liu; Yimiao Zhao; Huan Mei; Jiahui Deng; Yanping Bao; et al. (Neurocomputing, 2025)

An adaptive embedding personalized speech information model based on contrastive learning for depression level assessment. - Zhenyu Liu 006; Jiaqian Yuan; Yang Wu 011; Bailin Chen; Luyue Yang; Hanshu Cai; Jiahui Deng; Lin Liu; Yimiao Zhao; Huan Mei; Yanping Bao; Bin Hu 001 (Appl. Soft Comput., 2026)

A text-based emotional pattern discrepancy aware model for enhanced generalization in depression detection. - Haibo Zhang; Zhenyu Liu 006; Yang Wu 011; Jiaqian Yuan; Gang Li; Zhijie Ding; Bin Hu 001 (Inf. Process. Manag., 2026)