Window-based Enterprise Expert Search. - Wei Lu; Stephen E. Robertson; Andrew MacFarlane 001; Haozhen Zhao (TREC, 2006)

WHU at Blog Track 2007. - Haozhen Zhao; Zhicheng Luo; Wei Lu (TREC, 2007)

CSIR at TREC 2008 Expert Search Task: Modeling Expert Evidence in Expertise Retrieval. - Jiepu Jiang; Wei Lu; Haozhen Zhao (TREC, 2008)

A comparison of mapping algorithms for author co-citation data analysis. - Haozhen Zhao; Xia Lin (ASIST, 2010)

Multi-view of the ACM classification system. - Xia Lin; Mi Zhang; Haozhen Zhao; Jan W. Buzydlowski (JCDL, 2012)

Sharding for literature search via cutting citation graphs. - Haozhen Zhao (IEEE BigData, 2014)

Language Model Document Priors based on Citation and Co-citation Analysis. - Haozhen Zhao; Xiaohua Hu 001 (BIR@ECIR, 2014)

Drexel at TREC 2014 Federated Web Search Track. - Haozhen Zhao; Xiaohua Hu 001 (TREC, 2014)

Empirical evaluations of preprocessing parameters' impact on predictive coding's effectiveness. - Rishi Chhatwal; Nathaniel Huber-Fliflet; Robert Keeling; Jianping Zhang 003; Haozhen Zhao (IEEE BigData, 2016)

Empirical evaluations of active learning strategies in legal document review. - Rishi Chhatwal; Nathaniel Huber-Fliflet; Robert Keeling; Jianping Zhang 003; Haozhen Zhao (IEEE BigData, 2017)

Using google analytics to support cybersecurity forensics. - Han Qin; Kit Riehle; Haozhen Zhao (IEEE BigData, 2017)

Explainable Text Classification in Legal Document Review A Case Study of Explainable Predictive Coding. - Rishi Chhatwal; Peter Gronvall; Nathaniel Huber-Fliflet; Robert Keeling; Jianping Zhang 003; Haozhen Zhao (IEEE BigData, 2018)

An Empirical Study of the Application of Machine Learning and Keyword Terms Methodologies to Privilege-Document Review Projects in Legal Matters. - Peter Gronvall; Nathaniel Huber-Fliflet; Jianping Zhang 003; Robert Keeling; Robert Neary; Haozhen Zhao (IEEE BigData, 2018)

Empirical Evaluations of Seed Set Selection Strategies for Predictive Coding. - Christian J. Mahoney; Nathaniel Huber-Fliflet; Katie Jensen; Haozhen Zhao; Robert Neary; Shi Ye 002 (IEEE BigData, 2018)

Empirical Study of Deep Learning for Text Classification in Legal Document Review. - Fusheng Wei; Han Qin; Shi Ye 002; Haozhen Zhao (IEEE BigData, 2018)

Image Analytics for Legal Document Review : A Transfer Learning Approach. - Nathaniel Huber-Fliflet; Fusheng Wei; Haozhen Zhao; Han Qin; Shi Ye 002; Amy Tsang (IEEE BigData, 2019)

Empirical Comparisons of CNN with Other Learning Algorithms for Text Classification in Legal Document Review. - Robert Keeling; Rishi Chhatwal; Nathaniel Huber-Fliflet; Jianping Zhang 003; Fusheng Wei; Haozhen Zhao; Ye Shi 002; Han Qin (IEEE BigData, 2019)

A Framework for Explainable Text Classification in Legal Document Review. - Christian J. Mahoney; Jianping Zhang 003; Nathaniel Huber-Fliflet; Peter Gronvall; Haozhen Zhao (IEEE BigData, 2019)

Evaluation of Seed Set Selection Approaches and Active Learning Strategies in Predictive Coding. - Christian J. Mahoney; Nathaniel Huber-Fliflet; Haozhen Zhao; Jianping Zhang 003; Peter Gronvall; Shi Ye 002 (LegalAIIA@ICAIL, 2019)

CNN Application in Detection of Privileged Documents in Legal Document Review. - Rishi Chhatwal; Robert Keeling; Peter Gronvall; Nathaniel Huber-Fliflet; Jianping Zhang 003; Haozhen Zhao (IEEE BigData, 2020)

Application of Deep Learning in Recognizing Bates Numbers and Confidentiality Stamping from Images. - Christian J. Mahoney; Katie Jensen; Fusheng Wei; Haozhen Zhao; Han Qin; Shi Ye 002 (IEEE BigData, 2020)

Use Image Clustering to Facilitate Technology Assisted Review. - Haozhen Zhao; Fusheng Wei; Hilary Quatinetz; Han Qin; Adam Dabrowski (IEEE BigData, 2021)

An Empirical Study on Transfer Learning for Privilege Review. - Haozhen Zhao; Shi Ye 002; Jingchao Yang (IEEE BigData, 2021)