Ye Shi

Orcid: 0000-0002-1354-0650

Affiliations:
  • Ankura Consulting Group, Data & Technology, LLC, Washington DC, USA
  • Drexel University, Civil Engineering, Philadelphia, PA, USA (PhD 2020)


According to our database1, Ye Shi authored at least 7 papers between 2018 and 2021.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

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Article 
PhD thesis 
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Online presence:

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Bibliography

2021
An Empirical Study on Transfer Learning for Privilege Review.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2020
Application of Deep Learning in Recognizing Bates Numbers and Confidentiality Stamping from Images.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2019
Evaluation of Seed Set Selection Approaches and Active Learning Strategies in Predictive Coding.
Proceedings of the First Workshop on AI and Intelligent Assistance for Legal Professionals in the Digital Workplace (LegalAIIA 2019) the 17th International Conference on Artificial Intelligence and Law (ICAIL 2019), 2019

Empirical Comparisons of CNN with Other Learning Algorithms for Text Classification in Legal Document Review.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

Image Analytics for Legal Document Review : A Transfer Learning Approach.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2018
Empirical Study of Deep Learning for Text Classification in Legal Document Review.
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

Empirical Evaluations of Seed Set Selection Strategies for Predictive Coding.
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018


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