activity
20142024
most citedUsing Linguistic Features to Estimate Suicide Probability of Chinese Microblog Users

18 citations · 20 across the 5 of their papers we have counts for

collaborators

5 papers

cs.LG20241 cited

Examining Imbalance Effects on Performance and Demographic Fairness of Clinical Language Models

Precious Jones, Weisi Liu, I-Chan Huang +1

Data imbalance is a fundamental challenge in applying language models to biomedical applications, particularly in ICD code prediction tasks where label and demographic distribution…

cs.CL2024

Chain-of-Interaction: Enhancing Large Language Models for Psychiatric Behavior Understanding by Dyadic Contexts

Guangzeng Han, Weisi Liu, Xiaolei Huang +1

Automatic coding patient behaviors is essential to support decision making for psychotherapists during the motivational interviewing (MI), a collaborative communication interventio…

cs.CL20231 cited

Token Imbalance Adaptation for Radiology Report Generation

Yuexin Wu, I-Chan Huang, Xiaolei Huang

Imbalanced token distributions naturally exist in text documents, leading neural language models to overfit on frequent tokens. The token imbalance may dampen the robustness of rad…

cs.SI201418 cited

Using Linguistic Features to Estimate Suicide Probability of Chinese Microblog Users

Lei Zhang, Xiaolei Huang, Tianli Liu +2

If people with high risk of suicide can be identified through social media like microblog, it is possible to implement an active intervention system to save their lives. Based on t…

cs.CL2014

Detecting Suicidal Ideation in Chinese Microblogs with Psychological Lexicons

Xiaolei Huang, Lei Zhang, Tianli Liu +3

Suicide is among the leading causes of death in China. However, technical approaches toward preventing suicide are challenging and remaining under development. Recently, several ac…