Efficient Determination of Fault Criticality for Manufacturing Test Set Optimization. - Yiwen Shi; Kellie DiPalma; Jennifer Dworak (DFT, 2008)

Too many faults, too little time on creating test sets for enhanced detection of highly critical faults and defects. - Yiwen Shi; Wan-Chan Hu; Jennifer Dworak (VTS, 2010)

Dynamic Test Set Selection Using Implication-Based On-Chip Diagnosis. - Nuno Alves; Yiwen Shi; Nicholas Imbriglia; Jennifer Dworak; Kundan Nepal; R. Iris Bahar (ETS, 2011)

Partial state monitoring for fault detection estimation. - Yiwen Shi; Kantapon Kaewtip; Wan-Chan Hu; Jennifer Dworak (ITC, 2011)

Enhancing online error detection through area-efficient multi-site implications. - Nuno Alves; Yiwen Shi; Jennifer Dworak; R. Iris Bahar; Kundan Nepal (VTS, 2011)

Using implications to choose tests through suspect fault identification. - Jennifer Dworak; Kundan Nepal; Nuno Alves; Yiwen Shi; Nicholas Imbriglia; R. Iris Bahar (ACM Trans. Design Autom. Electr. Syst., 2012)

A Simulated Annealing Inspired Test Optimization Method for Enhanced Detection of Highly Critical Faults and Defects. - Yiwen Shi; Jennifer Dworak (J. Electron. Test., 2013)

Dual Stream Fusion Network for Multi-spectral High Resolution Remote Sensing Image Segmentation. - Yong Cao; Yiwen Shi; Yiwei Liu; Chunlei Huo; Shiming Xiang; Chunhong Pan (PRCV (2), 2021)

Relational Attention with Textual Enhanced Transformer for Image Captioning. - Lifei Song; Yiwen Shi; Xinyu Xiao; Chunxia Zhang 001; Shiming Xiang (PRCV (3), 2021)

NL-Augmenter: A Framework for Task-Sensitive Natural Language Augmentation. - Kaustubh D. Dhole; Varun Gangal; Sebastian Gehrmann; Aadesh Gupta; Zhenhao Li; Saad Mahamood; Abinaya Mahendiran; Simon Mille; Ashish Srivastava; Samson Tan; Tongshuang Wu; Jascha Sohl-Dickstein; et al. (CoRR, 2021)

Information Extraction From FDA Drug Labeling to Enhance Product-Specific Guidance Assessment Using Natural Language Processing. - Yiwen Shi; Ping Ren; Yi Zhang; Xiajing Gong; Meng Hu; Hualou Liang (Frontiers Res. Metrics Anal., 2021)

US News and Social Media Framing Around Vaping. - Keyu Chen; Marzieh Babaeianjelodar; Yiwen Shi; Rohan Aanegola; Lam Yin Cheung; Preslav Ivanov Nakov; Shweta Yadav 001; Angus Bancroft; Ashiqur R. KhudaBukhsh; Munmun De Choudhury; Frederick L. Altice; Navin Kumar 004 (CSoNet, 2022)

Improving Imbalanced Learning by Pre-finetuning with Data Augmentation. - Yiwen Shi; Taha ValizadehAslani; Jing Wang; Ping Ren; Yi Zhang; Meng Hu; Liang Zhao; Hualou Liang (LIDTA, 2022)

How Is Vaping Framed on Online Knowledge Dissemination Platforms? - Keyu Chen; Yiwen Shi; Jun Luo; Joyce Jiang; Shweta Yadav 001; Munmun De Choudhury; Ashiqur R. KhudaBukhsh; Marzieh Babaeianjelodar; Frederick L. Altice; Navin Kumar 004 (SBP-BRiMS, 2022)

Linguistic Approach to Segmenting Source Code. - Aviel J. Stein; Daniel Schwartz; Yiwen Shi; Spiros Mancoridis (ICSC, 2022)

Partisan US News Media Representations of Syrian Refugees. - Keyu Chen; Marzieh Babaeianjelodar; Yiwen Shi; Kamila Janmohamed; Rupak Sarkar; Ingmar Weber; Thomas Davidson; Munmun De Choudhury; Jonathan Huang; Shweta Yadav 001; Ashiqur R. KhudaBukhsh; Preslav Ivanov Nakov; et al. (CoRR, 2022)

Two-Stage Fine-Tuning: A Novel Strategy for Learning Class-Imbalanced Data. - Taha ValizadehAslani; Yiwen Shi; Jing Wang; Ping Ren; Yi Zhang; Meng Hu; Liang Zhao; Hualou Liang (CoRR, 2022)

Partisan US News Media Representations of Syrian Refugees. - Keyu Chen; Marzieh Babaeianjelodar; Yiwen Shi; Kamila Janmohamed; Rupak Sarkar; Ingmar Weber; Thomas Davidson; Munmun De Choudhury; Jonathan Huang; Shweta Yadav 001; Ashiqur R. KhudaBukhsh; Chris T. Bauch; et al. (ICWSM, 2023)

Fine-tuning BERT for automatic ADME semantic labeling in FDA drug labeling to enhance product-specific guidance assessment. - Yiwen Shi; Jing Wang; Ping Ren; Taha ValizadehAslani; Yi Zhang; Meng Hu; Hualou Liang (J. Biomed. Informatics, 2023)

PharmBERT: a domain-specific BERT model for drug labels. - Taha ValizadehAslani; Yiwen Shi; Ping Ren; Jing Wang; Yi Zhang; Meng Hu; Liang Zhao; Hualou Liang (Briefings Bioinform., 2023)

Leveraging GPT-4 for food effect summarization to enhance product-specific guidance development via iterative prompting. - Yiwen Shi; Ping Ren; Jing Wang; Biao Han; Taha ValizadehAslani; Felix Agbavor; Yi Zhang; Meng Hu; Liang Zhao; Hualou Liang (J. Biomed. Informatics, 2023)

Automatic Prompt Generation and Optimization by Leveraging Large Language Models to Enhance Few-Shot Learning in Biomedical Tasks. - Yiwen Shi; Xiaohua Hu (IEEE Big Data, 2024)

Two-stage fine-tuning with ChatGPT data augmentation for learning class-imbalanced data. - Taha ValizadehAslani; Yiwen Shi; Jing Wang; Ping Ren; Yi Zhang; Meng Hu; Liang Zhao; Hualou Liang (Neurocomputing, 2024)

PSCBO: A provably secure consensus-based blockchain Oracle. - Yusong Yao; Yiwen Shi; Guohua Tian; Meixia Miao; Willy Susilo (Comput. Stand. Interfaces, 2025)