Scholar
Zhecheng Sheng
Google Scholar ID: 6GSRIycAAAAJ
University of Minnesota, Twin Cities
Citations & Impact
Citations
156
H-index
6
i10-index
4
Publications
20
Co-authors
5
list available
Publications
Resume (English only)
Academic Achievements
- Paper accepted to EMNLP 2025 Main Conference (Aug 2025)
- Paper accepted to ACL 2025 Main Conference (May 2025); proposed weight masking to mitigate confounding bias in fine-tuning
- Paper accepted to Journal of Biomedical Informatics (Jun 2025)
- Passed Ph.D. preliminary exam and advanced to candidacy (Apr 2025)
- Paper accepted to CMCL workshop @ NAACL 2025 (Mar 2025)
- Paper accepted to ACL 2024 Findings (May 2024)
- Paper on text coherence modeling accepted to AAAI 2024 (Dec 2023)
- One paper and one abstract accepted by AMIA Annual Symposium 2023 (Jul 2023)
- Paper accepted to DialDoc workshop @ ACL 2023 (May 2023)
- Paper accepted to DistShift workshop @ NeurIPS 2023 (Oct 2023)
Background
- 5th-year Ph.D. student in Health Data Science at the University of Minnesota
- Member of the Cognitive AI Lab at UMN
- Research interests include Natural Language Processing (NLP) and Trustworthy Machine Learning
- Current projects focus on ensuring fairness and robustness of ML/DL models in healthcare applications
- Addresses issues related to sensitive attributes and confounding distribution shifts affecting model performance
- Also interested in probing Large Language Models (LLMs) to evaluate faithfulness of generation and adapting them for domain-specific tasks
