Zhecheng Sheng

16 papers A* 2Journal 10Unranked 4

Year	Rank	Type	Title / Venue / Authors
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	A*	`conf`	BBScoreV2: Learning Time-Evolution and Latent Alignment from Stochastic Representation. EMNLP Tianhao Zhang, Zhecheng Sheng, Zhexiao Lin, Chen Jiang, Dongyeop Kang
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`	Tailoring task arithmetic to address bias in models trained on multi-institutional datasets. J. Biomed. Informatics Xiruo Ding, Zhecheng Sheng, Brian Hur, Justin Tauscher, Dror Ben-Zeev, Meliha Yetisgen, Serguei Pakhomov, Trevor Cohen
2025	J	`jnl`	Toward Unifying Group Fairness Evaluation from a Sparsity Perspective. CoRR Zhecheng Sheng, Jiawei Zhang, Enmao Diao
2024	A*	`conf`	BBScore: A Brownian Bridge Based Metric for Assessing Text Coherence. AAAI Zhecheng Sheng, Tianhao Zhang, Chen Jiang, Dongyeop Kang
2024	J	`jnl`	On the Sequence Evaluation based on Stochastic Processes. CoRR Tianhao Zhang, Zhexiao Lin, Zhecheng Sheng, Chen Jiang, Dongyeop Kang
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
2023	J	`jnl`	A Dialogue System for Assessing Activities of Daily Living: Improving Consistency with Grounded Knowledge. CoRR Zhecheng Sheng, Raymond L. Finzel, Michael Lucke, Sheena Dufresne, Maria L. Gini, Serguei Pakhomov
2023	J	`jnl`	BBScore: A Brownian Bridge Based Metric for Assessing Text Coherence. CoRR Zhecheng Sheng, Tianhao Zhang, Chen Jiang, Dongyeop Kang
2023	J	`jnl`	Backdoor Adjustment of Confounding by Provenance for Robust Text Classification of Multi-institutional Clinical Notes. CoRR Xiruo Ding, Zhecheng Sheng, Meliha Yetisgen, Serguei Pakhomov, Trevor Cohen
2023	J	`jnl`	Enhancing Robustness of Foundation Model Representations under Provenance-related Distribution Shifts. CoRR Xiruo Ding, Zhecheng Sheng, Brian Hur, Feng Chen, Serguei V. S. Pakhomov, Trevor Cohen
2022	—	`conf`	Canine Parvovirus Diagnosis Classification Utilizing Veterinary Free-Text Notes. ICHI Zhecheng Sheng, Emma Bollig, Jennifer Granick, Rui Zhang, Amanda Beaudoin
2022	—	`conf`	NLP System for Mining Social Determinant of Health From Clinical Notes and its Fairness Evaluations. ICHI Zhecheng Sheng