Changye Li

18 papers Misc 1Journal 13Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
"Newspaper Eat" Means "Not Tasty": A Taxonomy and Benchmark for Coded Languages in Real-World Chinese Online Reviews.
CoRR
Ruyuan Wan, Changye Li, Ting-Hao (Kenneth) Huang
2025 J jnl
"Is There Anything Else?": Examining Administrator Influence on Linguistic Features from the Cookie Theft Picture Description Cognitive Test.
CoRR
Changye Li, Zhecheng Sheng, Trevor Cohen, Serguei Pakhomov
2025 J jnl
Bigger But Not Better: Small Neural Language Models Outperform Large Language Models in Detection of Thought Disorder.
CoRR
Changye Li, Weizhe Xu, Serguei Pakhomov, Ellen Bradley, Dror Ben-Zeev, Trevor Cohen
2025 — conf
Mitigating Confounding in Speech-Based Dementia Detection through Weight Masking.
ACL (1)
Zhecheng Sheng, Xiruo Ding, Brian Hur, Changye Li, Trevor Cohen, Serguei V. S. Pakhomov
2025 J jnl
Mitigating Confounding in Speech-Based Dementia Detection through Weight Masking.
CoRR
Zhecheng Sheng, Xiruo Ding, Brian Hur, Changye Li, Trevor Cohen, Serguei Pakhomov
2025 J jnl
Reading Between the Lines: Combining Pause Dynamics and Semantic Coherence for Automated Assessment of Thought Disorder.
CoRR
Feng Chen, Weizhe Xu, Changye Li, Serguei Pakhomov, Alex Cohen, Simran Bhola, Sandy Yin, Sunny X. Tang, Michael Mackinley, Lena Palaniyappan, Dror Ben-Zeev, Trevor Cohen
2024 J jnl
Reexamining Racial Disparities in Automatic Speech Recognition Performance: The Role of Confounding by Provenance.
CoRR
Changye Li, Trevor Cohen, Serguei Pakhomov
2024 — conf
Too Big to Fail: Larger Language Models are Disproportionately Resilient to Induction of Dementia-Related Linguistic Anomalies.
ACL (Findings)
Changye Li, Zhecheng Sheng, Trevor Cohen, Serguei Pakhomov
2024 J jnl
Too Big to Fail: Larger Language Models are Disproportionately Resilient to Induction of Dementia-Related Linguistic Anomalies.
CoRR
Changye Li, Zhecheng Sheng, Trevor Cohen, Serguei Pakhomov
2024 J jnl
Useful Blunders: Can Automated Speech Recognition Errors Improve Downstream Dementia Classification?
CoRR
Changye Li, Weizhe Xu, Trevor Cohen, Serguei Pakhomov
2024 J jnl
Useful blunders: Can automated speech recognition errors improve downstream dementia classification?
J. Biomed. Informatics
Changye Li, Weizhe Xu, Trevor Cohen, Serguei Pakhomov
2023 J jnl
TRESTLE: Toolkit for Reproducible Execution of Speech, Text and Language Experiments.
CoRR
Changye Li, Trevor Cohen, Martin Michalowski, Serguei Pakhomov
2022 — conf
GPT-D: Inducing Dementia-related Linguistic Anomalies by Deliberate Degradation of Artificial Neural Language Models.
ACL (1)
Changye Li, David S. Knopman, Weizhe Xu, Trevor Cohen, Serguei Pakhomov
2022 J jnl
GPT-D: Inducing Dementia-related Linguistic Anomalies by Deliberate Degradation of Artificial Neural Language Models.
CoRR
Changye Li, David S. Knopman, Weizhe Xu, Trevor Cohen, Serguei Pakhomov
2022 J jnl
The Far Side of Failure: Investigating the Impact of Speech Recognition Errors on Subsequent Dementia Classification.
CoRR
Changye Li, Trevor Cohen, Serguei Pakhomov
2021 J jnl
Crossing the "Cookie Theft" Corpus Chasm: Applying What BERT Learns From Outside Data to the ADReSS Challenge Dementia Detection Task.
Frontiers Comput. Sci.
Yue Guo, Changye Li, Carol Roan, Serguei Pakhomov, Trevor Cohen
2020 Misc conf
Identifying and predicting risk factors of potential problem opioid use in chronic noncancer pain patients using electronic health records.
AMIA
Yifan Li, Changye Li, Gavin Bart, Rui Zhang
2018 — conf
Condition Unknown: Predicting Patients' Health Conditions in an Online Health Community.
CSCW Companion
Changye Li, Zachary Levonian, Haiwei Ma, Svetlana Yarosh