Classification-Based Reputation Mechanism for Master-Worker Computing System. - Kun Lu 003; Jingchao Yang; Haoran Gong; Mingchu Li (QSHINE, 2017)

Evaluating the Open Source Data Containers for Handling Big Geospatial Raster Data. - Fei Hu 003; Mengchao Xu; Jingchao Yang; Yanshou Liang; Kejin Cui; Michael M. Little; Christopher Lynnes; Daniel Q. Duffy; Chaowei Yang (ISPRS Int. J. Geo Inf., 2018)

Tri-SIFT: A Triangulation-Based Detection and Matching Algorithm for Fish-Eye Images. - Ende Wang; Jinlei Jiao; Jingchao Yang; Dongyi Liang; Jiandong Tian (Inf., 2018)

Fine-Grained Diversification of Proximity Constrained Queries on Road Networks. - Xu Teng; Jingchao Yang; Joon-Seok Kim 001; Goce Trajcevski; Andreas Züfle; Mario A. Nascimento (SSTD, 2019)

Planetary Defense Mitigation Gateway: A One-Stop Gateway for Pertinent PD-Related Contents. - Ishan Shams; Yun Li 005; Jingchao Yang; Manzhu Yu; Chaowei Yang; Myra Bambacus; Ruthan Lewis; Joseph A. Nuth; Luke Oman; Ronald Leung; Bernard D. Seery; Catherine Plesko; et al. (Data, 2019)

A Twitter Data Credibility Framework - Hurricane Harvey as a Use Case. - Jingchao Yang; Manzhu Yu; Han Qin; Mingyue Lu; Chaowei Yang (ISPRS Int. J. Geo Inf., 2019)

Point Set Multi-Level Aggregation Feature Extraction Based on Multi-Scale Max Pooling and LDA for Point Cloud Classification. - Guofeng Tong; Yong Li 028; Weilong Zhang; Dong Chen 009; Zhenxin Zhang; Jingchao Yang; Jianjun Zhang (Remote. Sens., 2019)

An On-Demand Service for Managing and Analyzing Arctic Sea Ice High Spatial Resolution Imagery. - Dexuan Sha; Xin Miao; Mengchao Xu; Chaowei Yang; Hongjie Xie; Alberto M. Mestas-Nuñez; Yun Li 005; Qian Liu 011; Jingchao Yang (Data, 2020)

Spatiotemporal event detection: a review. - Manzhu Yu; Myra Bambacus; Guido Cervone; Keith C. Clarke; Daniel Q. Duffy; Qunying Huang; Jing Li 029; Wenwen Li 002; Zhenlong Li; Qian Liu 011; Bernd Resch; Jingchao Yang; et al. (Int. J. Digit. Earth, 2020)

An Empirical Study on Transfer Learning for Privilege Review. - Haozhen Zhao; Shi Ye 002; Jingchao Yang (IEEE BigData, 2021)

COVID-Scraper: An Open-Source Toolset for Automatically Scraping and Processing Global Multi-Scale Spatiotemporal COVID-19 Records. - Hai Lan 001; Dexuan Sha; Anusha Srirenganathan Malarvizhi; Yi Liu 094; Yun Li 005; Nadine Meister; Qian Liu 011; Zifu Wang; Jingchao Yang; Chaowei Phil Yang (IEEE Access, 2021)

Integrating memory-mapping and N-dimensional hash function for fast and efficient grid-based climate data query. - Mengchao Xu; Liang Zhao 002; Ruixin Yang; Jingchao Yang; Dexuan Sha; Chaowei Yang (Ann. GIS, 2021)

Seq2Path: Generating Sentiment Tuples as Paths of a Tree. - Yue Mao; Yi Shen; Jingchao Yang; Xiaoying Zhu; Longjun Cai (ACL (Findings), 2022)

An Application of Object Detection in Contract Analysis. - Josh Levy; Fusheng Wei; Jingchao Yang; Adam Dabrowski (IEEE Big Data, 2022)

An Empirical Comparison of DistilBERT, Longformer and Logistic Regression for Predictive Coding. - Fusheng Wei; Jingchao Yang; Qiang Mao; Han Qin; Adam Dabrowski (IEEE Big Data, 2022)

A high spatiotemporal resolution framework for urban temperature prediction using IoT data. - Jingchao Yang; Manzhu Yu; Qian Liu 011; Yun Li 005; Daniel Q. Duffy; Chaowei Yang (Comput. Geosci., 2022)

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)

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)

An Empirical Analysis of Text Segmentation for BERT Classification in Extended Documents. - Jingchao Yang; Fusheng Wei; Nathaniel Huber-Fliflet; Adam Dabrowski; Qiang Mao; Han Qin (IEEE Big Data, 2023)

Comparative Analysis of LLM-Generated Event Timeline Summarization for Legal Investigations. - Qiang Mao; Adam Dabrowski; Fusheng Wei; Eric Olson; Robert Neary; Jingchao Yang; Han Qin; Nathaniel Huber-Fliflet (IEEE Big Data, 2024)

A Hybrid Approach for Privilege Document Review: Rule-Based and Machine Learning. - Jingchao Yang; Adam Dabrowski; Robert Neary; Nathaniel Huber-Fliflet (IEEE Big Data, 2024)

Empirical Evaluation of Ensemble and Single Model Approaches for Multilingual Predictive Coding. - Jingchao Yang; Adam Dabrowski; Robert Neary; Nathaniel Huber-Fliflet; Fusheng Wei; Qiang Mao (IEEE Big Data, 2024)

Research on the knowledge graph for task decision-making based on complex knowledge. - Jingchao Yang; Hongwei Guo; Shuai Yang; Qihang Gao (IoTAAI, 2024)