Shi Ye

Publication Activity (10 Years)

Years Active: 2009-2021
Publications (10 Years): 13

Top Topics

Predictive Coding

Manifold Alignment

Text Classification

Transfer Learning

Top Venues

LegalAIIA@ICAIL

Publications

Christian J. Mahoney, Katie Jensen, Fusheng Wei, Haozhen Zhao, Han Qin, Shi Ye
Application of Deep Learning in Recognizing Bates Numbers and Confidentiality Stamping from Images. CoRR (2021)
Haozhen Zhao, Shi Ye, Jingchao Yang
An Empirical Study on Transfer Learning for Privilege Review. CoRR (2021)
Haozhen Zhao, Shi Ye, Jingchao Yang
An Empirical Study on Transfer Learning for Privilege Review. IEEE BigData (2021)
Christian J. Mahoney, Katie Jensen, Fusheng Wei, Haozhen Zhao, Han Qin, Shi Ye
Application of Deep Learning in Recognizing Bates Numbers and Confidentiality Stamping from Images. IEEE BigData (2020)
Nathaniel Huber-Fliflet, Fusheng Wei, Haozhen Zhao, Han Qin, Shi Ye, Amy Tsang
Image Analytics for Legal Document Review: A Transfer Learning Approach. CoRR (2019)
Christian J. Mahoney, Nathaniel Huber-Fliflet, Haozhen Zhao, Jianping Zhang, Peter Gronvall, Shi Ye
Evaluation of Seed Set Selection Approaches and Active Learning Strategies in Predictive Coding. LegalAIIA@ICAIL (2019)
Fusheng Wei, Han Qin, Shi Ye, Haozhen Zhao
Empirical Study of Deep Learning for Text Classification in Legal Document Review. CoRR (2019)
Christian J. Mahoney, Nathaniel Huber-Fliflet, Katie Jensen, Haozhen Zhao, Robert Neary, Shi Ye
Empirical Evaluations of Seed Set Selection Strategies for Predictive Coding. CoRR (2019)
Nathaniel Huber-Fliflet, Fusheng Wei, Haozhen Zhao, Han Qin, Shi Ye, Amy Tsang
Image Analytics for Legal Document Review : A Transfer Learning Approach. IEEE BigData (2019)
Robert Keeling, Rishi Chhatwal, Nathaniel Huber-Fliflet, Jianping Zhang, Fusheng Wei, Haozhen Zhao, Shi Ye, Han Qin
Empirical Comparisons of CNN with Other Learning Algorithms for Text Classification in Legal Document Review. CoRR (2019)
Christian J. Mahoney, Nathaniel Huber-Fliflet, Haozhen Zhao, Jianping Zhang, Peter Gronvall, Shi Ye
Evaluation of Seed Set Selection Approaches and Active Learning Strategies in Predictive Coding. CoRR (2019)
Christian J. Mahoney, Nathaniel Huber-Fliflet, Katie Jensen, Haozhen Zhao, Robert Neary, Shi Ye
Empirical Evaluations of Seed Set Selection Strategies for Predictive Coding. IEEE BigData (2018)
Fusheng Wei, Han Qin, Shi Ye, Haozhen Zhao
Empirical Study of Deep Learning for Text Classification in Legal Document Review. IEEE BigData (2018)
Yuan Shi, Lap Keung Chu, Shi Ye, Jian Ni
A Portfolio Approach to Procurement Risk Management. DET (2009)