Haozhen Zhao - RankMe

38 papers Journal 15Unranked 23

Year	Rank	Type	Title / Venue / Authors
2021	—	`conf`	An Empirical Study on Transfer Learning for Privilege Review. IEEE BigData Haozhen Zhao, Shi Ye, Jingchao Yang
2021	J	`jnl`	An Empirical Study on Transfer Learning for Privilege Review. CoRR Haozhen Zhao, Shi Ye, Jingchao Yang
2021	J	`jnl`	Application of Deep Learning in Recognizing Bates Numbers and Confidentiality Stamping from Images. CoRR Christian J. Mahoney, Katie Jensen, Fusheng Wei, Haozhen Zhao, Han Qin, Shi Ye
2021	J	`jnl`	CNN Application in Detection of Privileged Documents in Legal Document Review. CoRR Rishi Chhatwal, Robert Keeling, Peter Gronvall, Nathaniel Huber-Fliflet, Jianping Zhang, Haozhen Zhao
2021	—	`conf`	Use Image Clustering to Facilitate Technology Assisted Review. IEEE BigData Haozhen Zhao, Fusheng Wei, Hilary Quatinetz, Han Qin, Adam Dabrowski
2021	J	`jnl`	Use Image Clustering to Facilitate Technology Assisted Review. CoRR Haozhen Zhao, Fusheng Wei, Hilary Quatinetz, Han Qin, Adam Dabrowski
2020	—	`conf`	Application of Deep Learning in Recognizing Bates Numbers and Confidentiality Stamping from Images. IEEE BigData Christian J. Mahoney, Katie Jensen, Fusheng Wei, Haozhen Zhao, Han Qin, Shi Ye
2020	—	`conf`	CNN Application in Detection of Privileged Documents in Legal Document Review. IEEE BigData Rishi Chhatwal, Robert Keeling, Peter Gronvall, Nathaniel Huber-Fliflet, Jianping Zhang, Haozhen Zhao
2019	—	`conf`	A Framework for Explainable Text Classification in Legal Document Review. IEEE BigData Christian J. Mahoney, Jianping Zhang, Nathaniel Huber-Fliflet, Peter Gronvall, Haozhen Zhao
2019	J	`jnl`	A Framework for Explainable Text Classification in Legal Document Review. CoRR Christian J. Mahoney, Jianping Zhang, Nathaniel Huber-Fliflet, Peter Gronvall, Haozhen Zhao
2019	J	`jnl`	An Empirical Study of the Application of Machine Learning and Keyword Terms Methodologies to Privilege-Document Review Projects in Legal Matters. CoRR Peter Gronvall, Nathaniel Huber-Fliflet, Jianping Zhang, Robert Keeling, Robert Neary, Haozhen Zhao
2019	—	`conf`	Empirical Comparisons of CNN with Other Learning Algorithms for Text Classification in Legal Document Review. IEEE BigData Robert Keeling, Rishi Chhatwal, Nathaniel Huber-Fliflet, Jianping Zhang, Fusheng Wei, Haozhen Zhao, Ye Shi, Han Qin
2019	J	`jnl`	Empirical Comparisons of CNN with Other Learning Algorithms for Text Classification in Legal Document Review. CoRR Robert Keeling, Rishi Chhatwal, Nathaniel Huber-Fliflet, Jianping Zhang, Fusheng Wei, Haozhen Zhao, Shi Ye, Han Qin
2019	J	`jnl`	Empirical Evaluations of Active Learning Strategies in Legal Document Review. CoRR Rishi Chhatwal, Nathaniel Huber-Fliflet, Robert Keeling, Jianping Zhang, Haozhen Zhao
2019	J	`jnl`	Empirical Evaluations of Preprocessing Parameters' Impact on Predictive Coding's Effectiveness. CoRR Rishi Chhatwal, Nathaniel Huber-Fliflet, Robert Keeling, Jianping Zhang, Haozhen Zhao
2019	J	`jnl`	Empirical Evaluations of Seed Set Selection Strategies for Predictive Coding. CoRR Christian J. Mahoney, Nathaniel Huber-Fliflet, Katie Jensen, Haozhen Zhao, Robert Neary, Shi Ye
2019	J	`jnl`	Empirical Study of Deep Learning for Text Classification in Legal Document Review. CoRR Fusheng Wei, Han Qin, Shi Ye, Haozhen Zhao
2019	—	`conf`	Evaluation of Seed Set Selection Approaches and Active Learning Strategies in Predictive Coding. LegalAIIA@ICAIL Christian J. Mahoney, Nathaniel Huber-Fliflet, Haozhen Zhao, Jianping Zhang, Peter Gronvall, Shi Ye
2019	J	`jnl`	Evaluation of Seed Set Selection Approaches and Active Learning Strategies in Predictive Coding. CoRR Christian J. Mahoney, Nathaniel Huber-Fliflet, Haozhen Zhao, Jianping Zhang, Peter Gronvall, Shi Ye
2019	J	`jnl`	Explainable Text Classification in Legal Document Review A Case Study of Explainable Predictive Coding. CoRR Rishi Chhatwal, Peter Gronvall, Nathaniel Huber-Fliflet, Robert Keeling, Jianping Zhang, Haozhen Zhao
2019	—	`conf`	Image Analytics for Legal Document Review : A Transfer Learning Approach. IEEE BigData Nathaniel Huber-Fliflet, Fusheng Wei, Haozhen Zhao, Han Qin, Shi Ye, Amy Tsang
2019	J	`jnl`	Image Analytics for Legal Document Review: A Transfer Learning Approach. CoRR Nathaniel Huber-Fliflet, Fusheng Wei, Haozhen Zhao, Han Qin, Shi Ye, Amy Tsang
2019	J	`jnl`	Using Google Analytics to Support Cybersecurity Forensics. CoRR Han Qin, Kit Riehle, Haozhen Zhao
2018	—	`conf`	An Empirical Study of the Application of Machine Learning and Keyword Terms Methodologies to Privilege-Document Review Projects in Legal Matters. IEEE BigData Peter Gronvall, Nathaniel Huber-Fliflet, Jianping Zhang, Robert Keeling, Robert Neary, Haozhen Zhao
2018	—	`conf`	Empirical Evaluations of Seed Set Selection Strategies for Predictive Coding. IEEE BigData Christian J. Mahoney, Nathaniel Huber-Fliflet, Katie Jensen, Haozhen Zhao, Robert Neary, Shi Ye
2018	—	`conf`	Empirical Study of Deep Learning for Text Classification in Legal Document Review. IEEE BigData Fusheng Wei, Han Qin, Shi Ye, Haozhen Zhao
2018	—	`conf`	Explainable Text Classification in Legal Document Review A Case Study of Explainable Predictive Coding. IEEE BigData Rishi Chhatwal, Peter Gronvall, Nathaniel Huber-Fliflet, Robert Keeling, Jianping Zhang, Haozhen Zhao
2017	—	`conf`	Empirical evaluations of active learning strategies in legal document review. IEEE BigData Rishi Chhatwal, Nathaniel Huber-Fliflet, Robert Keeling, Jianping Zhang, Haozhen Zhao
2017	—	`conf`	Using google analytics to support cybersecurity forensics. IEEE BigData Han Qin, Kit Riehle, Haozhen Zhao
2016	—	`conf`	Empirical evaluations of preprocessing parameters' impact on predictive coding's effectiveness. IEEE BigData Rishi Chhatwal, Nathaniel Huber-Fliflet, Robert Keeling, Jianping Zhang, Haozhen Zhao
2014	—	`conf`	Drexel at TREC 2014 Federated Web Search Track. TREC Haozhen Zhao, Xiaohua Hu
2014	—	`conf`	Language Model Document Priors based on Citation and Co-citation Analysis. BIR@ECIR Haozhen Zhao, Xiaohua Hu
2014	—	`conf`	Sharding for literature search via cutting citation graphs. IEEE BigData Haozhen Zhao
2012	—	`conf`	Multi-view of the ACM classification system. JCDL Xia Lin, Mi Zhang, Haozhen Zhao, Jan W. Buzydlowski
2010	—	`conf`	A comparison of mapping algorithms for author co-citation data analysis. ASIST Haozhen Zhao, Xia Lin
2008	—	`conf`	CSIR at TREC 2008 Expert Search Task: Modeling Expert Evidence in Expertise Retrieval. TREC Jiepu Jiang, Wei Lu, Haozhen Zhao
2007	—	`conf`	WHU at Blog Track 2007. TREC Haozhen Zhao, Zhicheng Luo, Wei Lu
2006	—	`conf`	Window-based Enterprise Expert Search. TREC Wei Lu, Stephen E. Robertson, Andrew MacFarlane, Haozhen Zhao