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)

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)

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)

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