NASA Global Satellite and Model Data Products and Services for Tropical Meteorology and Climatology. - Zhong Liu; Chung-Lin Shie; Angela Li; David J. Meyer (Remote. Sens., 2020)

An Al-based Spatial Knowledge Graph for Enhancing Spatial Data and Knowledge Search and Discovery. - Zhe Zhang 001; Zhangyang Wang; Angela Li; Xinyue Ye; E. Lynn Usery; Diya Li (GeoSearch@SIGSPATIAL, 2021)

Memory Mapping and Parallelizing Random Forests for Speed and Cache Efficiency. - Eduardo Romero-Gainza; Christopher Stewart; Angela Li; Kyle C. Hale; Nathaniel Morris (ICPP Workshops, 2021)

FLAG: Stock Movement Prediction via Fusing Logic and Semantic Graphs of Financial News. - Angela Li; Jiduan Liu; Yuyong Li; Fan Meng (ICDM (Workshops), 2022)

Bolt: Fast Inference for Random Forests. - Eduardo Romero 005; Christopher Stewart; Angela Li; Kyle C. Hale; Nathaniel Morris (Middleware, 2022)

A Miniscule Survey on Blockchain Scalability. - Angela Li; Guanqun Song; Ting Zhu 001 (CoRR, 2022)

Developing Metrics for NASA Earth Science Interdisciplinary Data Products and Services. - Zhong Liu; Chung-Lin Shie; Anthony J. Ritrivi; Guang-Dih Lei; Gary T. Alcott; Mary Greene; James G. Acker; Jennifer C. Wei; David J. Meyer; Angela Li; Atheer F. Al-Jazrawi (Data Sci. J., 2022)

Improving NASA's Earth Satellite and Model Data Discoverability for Interdisciplinary Research, Applications, and Education. - Zhong Liu; Chung-Lin Shie; Suhung Shen; James G. Acker; Angela Li; Jennifer C. Wei; David J. Meyer (Data Sci. J., 2023)

datacarpentry/r-socialsci: Data Carpentry: Data Analysis and Visualization in R for Social Scientists, February 2023. - Juan Fung; Allison Shay Theobold; Kelsey Gonzalez; Angela Li; Eirini Zormpa; Maneesha Sane; Jesse Sadler; Brynn Elliott; bkmgit; bbartholdy; aranganath24; Erin Alison Becker; et al. (Zenodo, 2023)

Modeling dynamic elasticity on intraday volatility and volume by finding PDEs using machine learning. - David D. Li; Angela Li; Rodger Mensing; Zy Li (AIIoT, 2024)

When a Straight-A Student isn't the Best: Fuzzy Ranking and Optimization from a Probabilistic Perspective. - Angela Li; Xinyan Cui; David D. Li (CISS, 2025)

IDOS: Lightweight Nonparametric Outlier Detection Algorithm for Resource-Constrained Applications. - Angela Li; Yu Wang; David Li 003 (CISS, 2025)

A Dynamic Framework for Optimizing Reward Policies in the Sharing Economy. - Angela Li; Chengkun Yao; Cheng Li; David Li 003 (CISS, 2025)

A Flexible Generalized Probability Core and Quantitative Strategy Analysis for Game Design. - Angela Li; Zhengnan Li; David Li 003 (ICCE, 2025)