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Yunyu Xiao
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2020 – today
- 2024
- [c4]Richard Li Xu, Song Wang, Zewei Wang, Yuhan Zhang, Yunyu Xiao, Jyotishman Pathak, David Hodge, Yan Leng, S. Craig Watkins, Ying Ding, Yifan Peng:
Analyzing Social Factors to Enhance Suicide Prevention Across Population Groups. ICHI 2024: 189-199 - [i4]Song Wang, Yiliang Zhou, Ziqiang Han, Cui Tao, Yunyu Xiao, Ying Ding, Joydeep Ghosh, Yifan Peng:
Uncovering Misattributed Suicide Causes through Annotation Inconsistency Detection in Death Investigation Notes. CoRR abs/2403.19432 (2024) - [i3]Sudeshna Das, Yao Ge, Yuting Guo, Swati Rajwal
, JaMor Hairston, Jeanne M. Powell, Drew Walker, Snigdha Peddireddy, Sahithi Lakamana, Selen Bozkurt, Matthew A. Reyna, Reza Sameni, Yunyu Xiao, Sangmi Kim, Rasheeta Chandler, Natalie Hernandez, Danielle Mowery, Rachel Wightman, Jennifer Love, Anthony Spadaro, Jeanmarie Perrone, Abeed Sarker:
Two-layer retrieval augmented generation framework for low-resource medical question-answering: proof of concept using Reddit data. CoRR abs/2405.19519 (2024) - 2023
- [j1]Song Wang
An NLP approach to identify SDoH-related circumstance and suicide crisis from death investigation narratives. J. Am. Medical Informatics Assoc. 30(8): 1408-1417 (2023) - [i2]Xueying Liu, Shiaofen Fang, George O. Mohler, Joan Carlson, Yunyu Xiao:
Time-to-event modeling of subreddits transitions to r/SuicideWatch. CoRR abs/2302.06030 (2023) - 2022
- [c3]Yunyu Xiao, Haotan Zhang, Yu Hou, Chang Su, Fei Wang:
Unraveling the "Other" Diagnosis of Suspected Suicide Attempts at Emergency Department using Natural Language Processing (NLP). AMIA 2022 - [c2]Xueying Liu, Shiaofen Fang, George O. Mohler, Joan Carlson, Yunyu Xiao:
Time-to-event modeling of subreddits transitions to r/SuicideWatch. ICMLA 2022: 974-979 - [i1]Canyu Chen, Haoran Wang, Matthew Shapiro, Yunyu Xiao, Fei Wang, Kai Shu:
Combating Health Misinformation in Social Media: Characterization, Detection, Intervention, and Open Issues. CoRR abs/2211.05289 (2022) - 2021
- [c1]Hao Wang, Snehasis Mukhopadhyay, Yunyu Xiao, Shiaofen Fang:
An Interactive Approach to Bias Mitigation in Machine Learning. ICCI*CC 2021: 199-205
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