Remote interactive visualization and analysis (RIVA) using parallel supercomputers. - Peggy Li; William H. Duquette; David W. Curkendall (PRS, 1995)

RIVA: A Versatile Parallel Rendering System for Interactive Scientific Visualization. - Peggy Li; William H. Duquette; David W. Curkendall (IEEE Trans. Vis. Comput. Graph., 1996)

Parallel Computation and Visualization of 3D, Time-Dependent, Thermal Convective Flows. - Ping Wang; Peggy Li (PARA, 1998)

Accessing and Visualizing Scientific Spatiotemporal Data. - Daniel S. Katz; Attila Bergou; G. Bruce Berriman; Gary L. Block; Jim Collier; David W. Curkendall; John Good; Laura Husman; Joseph C. Jacob; Anastasia C. Laity; Peggy Li; Craig Miller; et al. (SSDBM, 2004)

A Small Fan and a Small Handful of Fans Exploring the Acquisition of Count-mass Distinction in Mandarin. - Becky Hsuan-hua Huang; David Barner; Peggy Li (PACLIC, 2005)

Design and Implementation of Components in the Earth System Modeling Framework. - Nancy Collins; Gerhard Theurich; Cecelia DeLuca; Max Suarez; Atanas Trayanov; Venkatramani Balaji; Peggy Li; Weiyu Yang; Chris Hill; Arlindo M. da Silva (Int. J. High Perform. Comput. Appl., 2005)

Data-Oriented Distributed Computing for Science: Reality and Possibilities. - Daniel S. Katz; Joseph C. Jacob; Peggy Li; Yi Chao; Gabrielle Allen (OTM Conferences (2), 2006)

Source of Individuation in Mandarin Chinese, a Classifier Language. - Pierina Cheung; Peggy Li; David Barner (PACLIC, 2008)

Trajectory Design for Autonomous Underwater Vehicles Based on Ocean Model Predictions for Feature Tracking. - Ryan N. Smith; Yi Chao; Burton H. Jones; David A. Caron; Peggy Li; Gaurav S. Sukhatme (FSR, 2009)

Enhancing Feedbacks on Learning Word Problems with a Small Game. - Willson Lin; Peggy Li; Tak-Wai Chan; Oskar Y. M. Ku; Hercy N. H. Cheng (DIGITEL, 2010)

Autonomous Underwater Vehicle trajectory design coupled with predictive ocean models: A case study. - Ryan N. Smith; Arvind Pereira; Yi Chao; Peggy Li; David A. Caron; Burton H. Jones; Gaurav S. Sukhatme (ICRA, 2010)

Spatiotemporal path planning in strong, dynamic, uncertain currents. - David R. Thompson 001; Steve A. Chien; Yi Chao; Peggy Li; Bronwyn Cahill; Julia Levin; Oscar Schofield; Arjuna P. Balasuriya; Stephanie Petillo; Matt Arrott; Michael Meisinger (ICRA, 2010)

Planning and Implementing Trajectories for Autonomous Underwater Vehicles to Track Evolving Ocean Processes Based on Predictions from a Regional Ocean Model. - Ryan N. Smith; Yi Chao; Peggy Li; David A. Caron; Burton H. Jones; Gaurav S. Sukhatme (Int. J. Robotics Res., 2010)

Revisiting the Plasticity of Human Spatial Cognition. - Linda Abarbanell; Rachel Montana; Peggy Li (COSIT, 2011)

What Counts in Mandarin Chinese: A Study of Individuation and Quantification. - Pierina Cheung; Peggy Li; David Barner (CogSci, 2012)

Integrating computing into middle school disciplines through projects. - Susan H. Rodger; Melissa Dalis; Chitra Gadwal; Jenna Hayes; Peggy Li; Francine Wolfe; Wenhui Zhang; Liz Liang (SIGCSE, 2012)

Increasing the experimentation of theoretical computer science with new features in JFLAP. - Susan H. Rodger; Julian Z. Genkins; Ian McMahon; Peggy Li (ITiCSE, 2013)

iCheck: computationally combating "lies, d-ned lies, and statistics". - You Wu 001; Brett Walenz; Peggy Li; Andrew Shim; Emre Sonmez; Pankaj K. Agarwal; Chengkai Li 001; Jun Yang 001; Cong Yu 001 (SIGMOD Conference, 2014)

Nanomaterial Synthesis Insights from Machine Learning of Scientific Articles by Extracting, Structuring, and Visualizing Knowledge. - Anna M. Hiszpanski; Brian Gallagher; Karthik Chellappan; Peggy Li; Shusen Liu 001; Hyojin Kim 001; Jinkyu Han; Bhavya Kailkhura; David J. Buttler; Thomas Yong-Jin Han (J. Chem. Inf. Model., 2020)

Unraveling the contribution of left-right language on spatial perspective taking. - Linda Abarbanell; Peggy Li (Spatial Cogn. Comput., 2021)

Representing Polymers as Periodic Graphs with Learned Descriptors for Accurate Polymer Property Predictions. - Evan R. Antoniuk; Peggy Li; Bhavya Kailkhura; Anna M. Hiszpanski (J. Chem. Inf. Model., 2022)

Active Learning Enables Extrapolation in Molecular Generative Models. - Evan R. Antoniuk; Peggy Li; Nathan Keilbart; Stephen Weitzner; Bhavya Kailkhura; Anna M. Hiszpanski (CoRR, 2025)

BOOM: Benchmarking Out-Of-distribution Molecular Property Predictions of Machine Learning Models. - Evan R. Antoniuk; Shehtab Zaman; Tal Ben-Nun; Peggy Li; James Diffenderfer; Busra Demirci; Obadiah Smolenski; Tim Hsu; Anna M. Hiszpanski; Kenneth Chiu; Bhavya Kailkhura; Brian Van Essen (CoRR, 2025)