A method that combines inductive learning with exemplar-based learning. - Jianping Zhang 003 (TAI, 1990)

Learning flexible concepts from examples: Employing the ideas of two-tiered concept representation - Jianping Zhang 003 (1990)

Selecting Typical Instances in Instance-Based Learning. - Jianping Zhang 003 (ML, 1992)

A Data-Driven Approach to Feature Construction. - Jianping Zhang 003; Hsueh-Hsiang Lu (ISMIS, 1994)

Searching the Web Using Synonyms and Senses. - Kunal Kapur; Jianping Zhang 003 (WebNet, 1999)

Rule-Based Platform for Web User Profiling. - Jianping Zhang 003; Manu Shukla (ICDM, 2006)

Some current issues of streaming data mining. - Jianping Zhang 003; Huan Liu 001; Paul P. Wang (Inf. Sci., 2006)

Empirical evaluations of preprocessing parameters' impact on predictive coding's effectiveness. - Rishi Chhatwal; Nathaniel Huber-Fliflet; Robert Keeling; Jianping Zhang 003; Haozhen Zhao (IEEE BigData, 2016)

Empirical evaluations of active learning strategies in legal document review. - Rishi Chhatwal; Nathaniel Huber-Fliflet; Robert Keeling; Jianping Zhang 003; Haozhen Zhao (IEEE BigData, 2017)

Explainable Text Classification in Legal Document Review A Case Study of Explainable Predictive Coding. - Rishi Chhatwal; Peter Gronvall; Nathaniel Huber-Fliflet; Robert Keeling; Jianping Zhang 003; Haozhen Zhao (IEEE BigData, 2018)

An Empirical Study of the Application of Machine Learning and Keyword Terms Methodologies to Privilege-Document Review Projects in Legal Matters. - Peter Gronvall; Nathaniel Huber-Fliflet; Jianping Zhang 003; Robert Keeling; Robert Neary; Haozhen Zhao (IEEE BigData, 2018)

Empirical Comparisons of CNN with Other Learning Algorithms for Text Classification in Legal Document Review. - Robert Keeling; Rishi Chhatwal; Nathaniel Huber-Fliflet; Jianping Zhang 003; Fusheng Wei; Haozhen Zhao; Ye Shi 002; Han Qin (IEEE BigData, 2019)

A Framework for Explainable Text Classification in Legal Document Review. - Christian J. Mahoney; Jianping Zhang 003; Nathaniel Huber-Fliflet; Peter Gronvall; Haozhen Zhao (IEEE BigData, 2019)

Evaluation of Seed Set Selection Approaches and Active Learning Strategies in Predictive Coding. - Christian J. Mahoney; Nathaniel Huber-Fliflet; Haozhen Zhao; Jianping Zhang 003; Peter Gronvall; Shi Ye 002 (LegalAIIA@ICAIL, 2019)

CNN Application in Detection of Privileged Documents in Legal Document Review. - Rishi Chhatwal; Robert Keeling; Peter Gronvall; Nathaniel Huber-Fliflet; Jianping Zhang 003; Haozhen Zhao (IEEE BigData, 2020)

Integration of Rule-Based Reasoning and Transfer Learning in Legal Document Review. - Robert Keeling; Ava Guo; Peter Gronvall; Nathaniel Huber-Fliflet; Jianping Zhang 003 (IEEE Big Data, 2022)

Explainable Text Classification Techniques in Legal Document Review: Locating Rationales without Using Human Annotated Training Text Snippets. - Christian J. Mahoney; Peter Gronvall; Nathaniel Huber-Fliflet; Jianping Zhang 003 (IEEE Big Data, 2022)

Exploring the Performance Impacts of Training Predictive Models with Inclusive Email Threads. - Chris Clark; Han Qin; Nathaniel Huber-Fliflet; Adam Dabrowski; Jianping Zhang 003 (IEEE Big Data, 2023)

Explainable Text Classification for Legal Document Review in Construction Delay Disputes. - Nathaniel Huber-Fliflet; Jianping Zhang 003; Peter Gronvall; Fusheng Wei; Philip Spinelli; Adam Dabrowski; Jingchao Yang (IEEE Big Data, 2023)

Exploring Approaches to Optimize the Performance of Predictive Coding on Multilanguage Data Sets. - Christian J. Mahoney; Nathaniel Huber-Fliflet; Peter Gronvall; Chris Clark; Jianping Zhang 003; Fusheng Wei; Qiang Mao (IEEE Big Data, 2023)

Empirical Study of LLM Fine-Tuning for Text Classification in Legal Document Review. - Fusheng Wei; Robert Keeling; Nathaniel Huber-Fliflet; Jianping Zhang 003; Adam Dabrowski; Jingchao Yang; Qiang Mao; Han Qin (IEEE Big Data, 2023)

Experimental Study of In-Context Learning for Text Classification and Its Application to Legal Document Review in Construction Delay Disputes. - Nathaniel Huber-Fliflet; Jianping Zhang 003; Peter Gronvall; Fusheng Wei; Philip Spinelli (IEEE Big Data, 2024)

Empirical Evaluation of Embedding Models in the Context of Text Classification in Document Review in Construction Delay Disputes. - Fusheng Wei; Robert Neary; Han Qin; Qiang Mao; Jianping Zhang 003 (CoRR, 2025)