Haozhen Zhao

Publication Activity (10 Years)

Years Active: 2006-2021
Publications (10 Years): 30

Top Topics

Active Learning Strategies

Predictive Coding

Text Classification

Transfer Learning

Top Venues

Publications

Haozhen Zhao, Fusheng Wei, Hilary Quatinetz, Han Qin, Adam Dabrowski
Use Image Clustering to Facilitate Technology Assisted 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. CoRR (2021)
Haozhen Zhao, Shi Ye, Jingchao Yang
An Empirical Study on Transfer Learning for Privilege Review. CoRR (2021)
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 (2021)
Haozhen Zhao, Shi Ye, Jingchao Yang
An Empirical Study on Transfer Learning for Privilege Review. IEEE BigData (2021)
Haozhen Zhao, Fusheng Wei, Hilary Quatinetz, Han Qin, Adam Dabrowski
Use Image Clustering to Facilitate Technology Assisted Review. CoRR (2021)
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)
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)
Rishi Chhatwal, Nathaniel Huber-Fliflet, Robert Keeling, Jianping Zhang, Haozhen Zhao
Empirical Evaluations of Preprocessing Parameters' Impact on Predictive Coding's Effectiveness. 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. CoRR (2019)
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)
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)
Christian J. Mahoney, Jianping Zhang, Nathaniel Huber-Fliflet, Peter Gronvall, Haozhen Zhao
A Framework for Explainable Text Classification in Legal Document Review. CoRR (2019)
Han Qin, Kit Riehle, Haozhen Zhao
Using Google Analytics to Support Cybersecurity Forensics. CoRR (2019)
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 (2019)
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 (2019)
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)
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)
Rishi Chhatwal, Nathaniel Huber-Fliflet, Robert Keeling, Jianping Zhang, Haozhen Zhao
Empirical Evaluations of Active Learning Strategies 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)
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)
Fusheng Wei, Han Qin, Shi Ye, Haozhen Zhao
Empirical Study of Deep Learning for Text Classification in Legal Document Review. IEEE BigData (2018)
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)
Rishi Chhatwal, Nathaniel Huber-Fliflet, Robert Keeling, Jianping Zhang, Haozhen Zhao
Empirical evaluations of active learning strategies in legal document review. IEEE BigData (2017)
Han Qin, Kit Riehle, Haozhen Zhao
Using google analytics to support cybersecurity forensics. IEEE BigData (2017)
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)
Haozhen Zhao
Sharding for literature search via cutting citation graphs. IEEE BigData (2014)
Haozhen Zhao, Xiaohua Hu
Language Model Document Priors based on Citation and Co-citation Analysis. BIR@ECIR (2014)
Haozhen Zhao, Xiaohua Hu
Drexel at TREC 2014 Federated Web Search Track. TREC (2014)
Xia Lin, Mi Zhang, Haozhen Zhao, Jan W. Buzydlowski
Multi-view of the ACM classification system. JCDL (2012)
Haozhen Zhao, Xia Lin
A comparison of mapping algorithms for author co-citation data analysis. ASIST (2010)
Jiepu Jiang, Wei Lu, Haozhen Zhao
CSIR at TREC 2008 Expert Search Task: Modeling Expert Evidence in Expertise Retrieval. TREC (2008)
Haozhen Zhao, Zhicheng Luo, Wei Lu
WHU at Blog Track 2007. TREC (2007)
Wei Lu, Stephen E. Robertson, Andrew MacFarlane, Haozhen Zhao
Window-based Enterprise Expert Search. TREC (2006)