An Agent Based Intelligent Meta Search Engine. - Qingshan Li; Yingcheng Sun (WISM, 2012)

Topic Shift Detection in Online Discussions using Structural Context. - Yingcheng Sun; Kenneth A. Loparo (COMPSAC (1), 2019)

A Clicked-URL Feature for Transactional Query Identification. - Yingcheng Sun; Kenneth A. Loparo (COMPSAC (1), 2019)

Context Aware Image Annotation in Active Learning with Batch Mode. - Yingcheng Sun; Kenneth A. Loparo (COMPSAC (1), 2019)

Information Extraction from Free Text in Clinical Trials with Knowledge-Based Distant Supervision. - Yingcheng Sun; Kenneth A. Loparo (COMPSAC (1), 2019)

Opinion Spam Detection Based on Heterogeneous Information Network. - Yingcheng Sun; Kenneth A. Loparo (ICTAI, 2019)

Knowledge-guided Text Structuring in Clinical Trials. - Yingcheng Sun; Kenneth A. Loparo (ICDM (Posters), 2019)

Context Aware Image Annotation in Multiple-Instance Active Learning. - Yingcheng Sun; Kenneth A. Loparo (ICDM, 2019)

A Common Gene Expression Signature Analysis Method for Multiple Types of Cancer. - Yingcheng Sun; Xiangru Liang; Kenneth A. Loparo (ICDM (Posters), 2019)

Learning - based Adaptation Framework for Elastic Software Systems. - Yingcheng Sun; XiaoShu Cai; Kenneth A. Loparo (SEKE, 2019)

Potential Role of Clinical Trial Eligibility Criteria in Electronic Phenotyping. - Hao Liu 054; Chi Yuan; Alex M. Butler; Yingcheng Sun; Chunhua Weng (AMIA, 2020)

Eliminating Search Intent Bias in Learning to Rank. - Yingcheng Sun; Richard M. Kolacinski; Kenneth A. Loparo (ICSC, 2020)

Conversational Structure Aware and Context Sensitive Topic Model for Online Discussions. - Yingcheng Sun; Kenneth A. Loparo; Richard M. Kolacinski (ICSC, 2020)

Context Aware Image Annotation in Active Learning. - Yingcheng Sun; Kenneth A. Loparo (CoRR, 2020)

Transitive Topic Modeling with Conversational Structure Context: Discovering Topics that are Most Popular in Online Discussions. - Yingcheng Sun; Richard M. Kolacinski; Kenneth A. Loparo (Int. J. Semantic Comput., 2020)

INSMA: An integrated system for multimodal data acquisition and analysis in the intensive care unit. - Yingcheng Sun; Fei Guo; Farhad Kaffashi; Frank J. Jacono; Michael DeGeorgia; Kenneth A. Loparo (J. Biomed. Informatics, 2020)

Interactive Similarity-Based Search of Clinical Trials. - Yingcheng Sun; Jiaqi Tang 008; Alex Butler; Cong Liu 020; Yilu Fang; Chunhua Weng (MedInfo, 2021)

Participatory Design of a Clinical Trial Eligibility Criteria Simplification Method. - Yilu Fang; Jae Hyun Kim; Betina Ross S. Idnay; Rebeca Aragon Garcia; Carmen E. Castillo; Yingcheng Sun; Hao Liu 054; Cong Liu 020; Chi Yuan; Chunhua Weng (MIE, 2021)

A Framework for Systematic Assessment of Clinical Trial Population Representativeness Using Electronic Health Records Data. - Yingcheng Sun; Alex M. Butler; Ibrahim Diallo; Jae Hyun Kim; Casey N. Ta; James R. Rogers; Hao Liu 054; Chunhua Weng (Appl. Clin. Inform., 2021)

The potential role of EHR data in optimizing eligibility criteria definition for cardiovascular outcome trials. - Jae Hyun Kim; Alex M. Butler; Casey N. Ta; Yingcheng Sun; Mathew S. Maurer; Chunhua Weng (Int. J. Medical Informatics, 2021)

The COVID-19 Trial Finder. - Yingcheng Sun; Alex M. Butler; Fengyang Lin; Hao Liu 054; Latoya A. Stewart; Jae Hyun Kim; Betina Ross S. Idnay; Qingyin Ge; Xinyi Wei; Cong Liu 020; Chi Yuan; Chunhua Weng (J. Am. Medical Informatics Assoc., 2021)

A knowledge base of clinical trial eligibility criteria. - Hao Liu 054; Chi Yuan; Alex M. Butler; Yingcheng Sun; Chunhua Weng (J. Biomed. Informatics, 2021)

Building an OMOP common data model-compliant annotated corpus for COVID-19 clinical trials. - Yingcheng Sun; Alex M. Butler; Latoya A. Stewart; Hao Liu 054; Chi Yuan; Christopher T. Southard; Jae Hyun Kim; Chunhua Weng (J. Biomed. Informatics, 2021)

Criteria2Query 2.0: Combining Machine Efficiency and Human Intelligence to Define a More Accurate and Feasible Cohort for Clinical Trial Recruitment. - Betina Ross S. Idnay; Yilu Fang; Yingcheng Sun; Hao Liu 054; Zhehuan Chen; Rebecca Schnall; Chunhua Weng (AMIA, 2022)

Combining human and machine intelligence for clinical trial eligibility querying. - Yilu Fang; Betina Ross S. Idnay; Yingcheng Sun; Hao Liu 054; Zhehuan Chen; Karen Marder; Hua Xu 001; Rebecca Schnall; Chunhua Weng (J. Am. Medical Informatics Assoc., 2022)

Deep learning for rare disease: A scoping review. - Junghwan Lee; Cong Liu 020; Junyoung Kim; Zhehuan Chen; Yingcheng Sun; James R. Rogers; Wendy K. Chung; Chunhua Weng (J. Biomed. Informatics, 2022)

EvidenceMap: a three-level knowledge representation for medical evidence computation and comprehension. - Tian Kang; Yingcheng Sun; Jae Hyun Kim; Casey N. Ta; Adler J. Perotte; Kayla Schiffer; Mutong Wu; Yang Zhao; Nour Moustafa-Fahmy; Yifan Peng 002; Chunhua Weng (J. Am. Medical Informatics Assoc., 2023)