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ORCIDJianping Zhang 0003
Person information
- affiliation: Ankura Consulting Group, LLC, Data & Technology, Washington, D.C., USA
- affiliation: MITRE Corporation, McLean, VA, USA
- affiliation: AOL, Inc., Dulles, VA, USA
- affiliation: Utah State University, Department of Computer Science, Logan, UT, USA
- affiliation (PhD 1990): University of Illinois at Urbana-Champaign, Department of Computer Science, Urbana, IL, USA
Other persons with the same name
- Jianping Zhang (aka: Jian-Ping Zhang) — disambiguation page
- Jianping Zhang 0001 — Chinese Academy of Sciences, Key Laboratory of Speech Acoustics and Content Understanding, Beijing, China
- Jianping Zhang 0002
![[0000-0002-4451-6661]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-4451-6661")
— Chinese University of Hong Kong, Department of Computer Science and Engineering, Hong Kong (and 2 more) - Jianping Zhang 0004 — Xiangtan University, School of Mathematics and Computational Science, Xiangtan, China (and 2 more)
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2020 – today
- 2023
[c19]Christian J. Mahoney, Nathaniel Huber-Fliflet, Peter Gronvall, Chris Clark, Jianping Zhang, Fusheng Wei, Qiang Mao:
Exploring Approaches to Optimize the Performance of Predictive Coding on Multilanguage Data Sets. IEEE Big Data 2023: 1774-1781- [c18]Nathaniel Huber-Fliflet, Jianping Zhang, Peter Gronvall, Fusheng Wei, Philip Spinelli, Adam Dabrowski, Jingchao Yang:
Explainable Text Classification for Legal Document Review in Construction Delay Disputes. IEEE Big Data 2023: 1928-1933 - [c17]Chris Clark, Han Qin, Nathaniel Huber-Fliflet, Adam Dabrowski, Jianping Zhang:
Exploring the Performance Impacts of Training Predictive Models with Inclusive Email Threads. IEEE Big Data 2023: 2755-2760 - [c16]Fusheng Wei, Robert Keeling, Nathaniel Huber-Fliflet, Jianping Zhang, Adam Dabrowski, Jingchao Yang, Qiang Mao, Han Qin:
Empirical Study of LLM Fine-Tuning for Text Classification in Legal Document Review. IEEE Big Data 2023: 2786-2792 - [i9]Christian J. Mahoney, Peter Gronvall, Nathaniel Huber-Fliflet, Jianping Zhang:
Explainable Text Classification Techniques in Legal Document Review: Locating Rationales without Using Human Annotated Training Text Snippets. CoRR abs/2311.09133 (2023) - 2022
- [c15]Christian J. Mahoney, Peter Gronvall, Nathaniel Huber-Fliflet, Jianping Zhang:
Explainable Text Classification Techniques in Legal Document Review: Locating Rationales without Using Human Annotated Training Text Snippets. IEEE Big Data 2022: 2044-2051 - [c14]Robert Keeling, Ava Guo, Peter Gronvall, Nathaniel Huber-Fliflet, Jianping Zhang:
Integration of Rule-Based Reasoning and Transfer Learning in Legal Document Review. IEEE Big Data 2022: 2279-2284 - 2021
- [i8]Rishi Chhatwal, Robert Keeling, Peter Gronvall, Nathaniel Huber-Fliflet, Jianping Zhang, Haozhen Zhao:
CNN Application in Detection of Privileged Documents in Legal Document Review. CoRR abs/2102.04845 (2021) - 2020
- [c13]Rishi Chhatwal, Robert Keeling, Peter Gronvall, Nathaniel Huber-Fliflet, Jianping Zhang, Haozhen Zhao:
CNN Application in Detection of Privileged Documents in Legal Document Review. IEEE BigData 2020: 1485-1492
2010 – 2019
- 2019
- [c12]Christian J. Mahoney, Jianping Zhang, Nathaniel Huber-Fliflet, Peter Gronvall, Haozhen Zhao:
A Framework for Explainable Text Classification in Legal Document Review. IEEE BigData 2019: 1858-1867 - [c11]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 - [c10]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 - [i7]Rishi Chhatwal, Nathaniel Huber-Fliflet, Robert Keeling, Jianping Zhang, Haozhen Zhao:
Empirical Evaluations of Preprocessing Parameters' Impact on Predictive Coding's Effectiveness. CoRR abs/1904.01718 (2019) - [i6]Rishi Chhatwal, Nathaniel Huber-Fliflet, Robert Keeling, Jianping Zhang, Haozhen Zhao:
Empirical Evaluations of Active Learning Strategies in Legal Document Review. CoRR abs/1904.01719 (2019) - [i5]Rishi Chhatwal, Peter Gronvall, Nathaniel Huber-Fliflet, Robert Keeling, Jianping Zhang, Haozhen Zhao:
Explainable Text Classification in Legal Document Review A Case Study of Explainable Predictive Coding. CoRR abs/1904.01721 (2019) - [i4]Peter Gronvall, Nathaniel Huber-Fliflet, Jianping Zhang, Robert Keeling, Robert Neary, Haozhen Zhao:
An Empirical Study of the Application of Machine Learning and Keyword Terms Methodologies to Privilege-Document Review Projects in Legal Matters. CoRR abs/1904.01722 (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]Christian J. Mahoney, Jianping Zhang, Nathaniel Huber-Fliflet, Peter Gronvall, Haozhen Zhao:
A Framework for Explainable Text Classification in Legal Document Review. CoRR abs/1912.09501 (2019) - 2018
- [c9]Rishi Chhatwal, Peter Gronvall, Nathaniel Huber-Fliflet, Robert Keeling, Jianping Zhang, Haozhen Zhao:
Explainable Text Classification in Legal Document Review A Case Study of Explainable Predictive Coding. IEEE BigData 2018: 1905-1911 - [c8]Peter Gronvall, Nathaniel Huber-Fliflet, Jianping Zhang, Robert Keeling, Robert Neary, Haozhen Zhao:
An Empirical Study of the Application of Machine Learning and Keyword Terms Methodologies to Privilege-Document Review Projects in Legal Matters. IEEE BigData 2018: 3282-3291 - 2017
- [c7]Rishi Chhatwal, Nathaniel Huber-Fliflet, Robert Keeling, Jianping Zhang, Haozhen Zhao:
Empirical evaluations of active learning strategies in legal document review. IEEE BigData 2017: 1428-1437 - 2016
- [c6]Rishi Chhatwal, Nathaniel Huber-Fliflet, Robert Keeling, Jianping Zhang, Haozhen Zhao:
Empirical evaluations of preprocessing parameters' impact on predictive coding's effectiveness. IEEE BigData 2016: 1394-1401
2000 – 2009
- 2006
- [j1]Jianping Zhang, Huan Liu, Paul P. Wang:
Some current issues of streaming data mining. Inf. Sci. 176(14): 1949-1951 (2006) - [c5]Jianping Zhang, Manu Shukla:
Rule-Based Platform for Web User Profiling. ICDM 2006: 1183-1187
1990 – 1999
- 1999
- [c4]Kunal Kapur, Jianping Zhang:
Searching the Web Using Synonyms and Senses. WebNet 1999: 604-609 - 1994
- [c3]Jianping Zhang, Hsueh-Hsiang Lu:
A Data-Driven Approach to Feature Construction. ISMIS 1994: 448-457 - 1992
- [c2]Jianping Zhang:
Selecting Typical Instances in Instance-Based Learning. ML 1992: 470-479 - 1990
- [b1]Jianping Zhang:
Learning flexible concepts from examples: Employing the ideas of two-tiered concept representation. University of Illinois Urbana-Champaign, USA, 1990 - [c1]Jianping Zhang:
A method that combines inductive learning with exemplar-based learning. TAI 1990: 31-37
Coauthor Index
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