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ORCIDYe Shi 0002
Person information
- affiliation: Ankura Consulting Group, Data & Technology, LLC, Washington DC, USA
- affiliation (PhD 2020): Drexel University, Civil Engineering, Philadelphia, PA, USA
Other persons with the same name
- Ye Shi (aka: Shi Ye) — disambiguation page
- Ye Shi 0001
![[0000-0003-2302-4980]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0003-2302-4980")
— ShanghaiTech University, School of Information Science Technology, Shanghai, China (and 1 more) - Ye Shi 0003 — University of Science and Technology of China, School of Management, Hefei, Anhui, China
- Ye Shi 0004 — Nanjing University of Aeronautics and Astronautics, College of Computer Science and Technology, China
- Ye Shi 0005 — Purdue University, Elmore Family School of Electrical and Computer Engineering, West Lafayette, IN, USA
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2020 – today
- 2021
[c7]Haozhen Zhao, Shi Ye, Jingchao Yang:
An Empirical Study on Transfer Learning for Privilege Review. IEEE BigData 2021: 2729-2733- [i7]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 abs/2102.02995 (2021) - [i6]Haozhen Zhao, Shi Ye, Jingchao Yang:
An Empirical Study on Transfer Learning for Privilege Review. CoRR abs/2112.08606 (2021) - 2020
- [c6]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: 2127-2130
2010 – 2019
- 2019
- [c5]Robert Keeling, Rishi Chhatwal, Nathaniel Huber-Fliflet, Jianping Zhang, Fusheng Wei, Haozhen Zhao, Ye Shi, Han Qin:
Empirical Comparisons of CNN with Other Learning Algorithms for Text Classification in Legal Document Review. IEEE BigData 2019: 2038-2042 - [c4]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: 4325-4328 - [c3]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: 23-31 - [i5]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 abs/1903.08816 (2019) - [i4]Fusheng Wei, Han Qin, Shi Ye, Haozhen Zhao:
Empirical Study of Deep Learning for Text Classification in Legal Document Review. CoRR abs/1904.01723 (2019) - [i3]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 abs/1906.04367 (2019) - [i2]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 abs/1912.09499 (2019) - [i1]Nathaniel Huber-Fliflet, Fusheng Wei, Haozhen Zhao, Han Qin, Shi Ye, Amy Tsang:
Image Analytics for Legal Document Review: A Transfer Learning Approach. CoRR abs/1912.12169 (2019) - 2018
- [c2]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: 3292-3301 - [c1]Fusheng Wei, Han Qin, Shi Ye, Haozhen Zhao:
Empirical Study of Deep Learning for Text Classification in Legal Document Review. IEEE BigData 2018: 3317-3320
Coauthor Index
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