Understanding Diagrammatic Ink in Lecture. - Richard J. Anderson 001; Crystal Hoyer; Craig Prince; Jonathan Su; Fred Videon; Steven A. Wolfman; Ruth E. Anderson (AAAI Technical Report (6), 2004)

Preliminary experiences with a tablet PC based system to support active learning in computer science courses. - Beth Simon; Ruth E. Anderson; Crystal Hoyer; Jonathan Su (ITiCSE, 2004)

Speech, ink, and slides: the interaction of content channels. - Richard J. Anderson 001; Crystal Hoyer; Craig Prince; Jonathan Su; Fred Videon; Steven A. Wolfman (ACM Multimedia, 2004)

A study of diagrammatic ink in lecture. - Richard J. Anderson 001; Ruth E. Anderson; Crystal Hoyer; Craig Prince; Jonathan Su; Fred Videon; Steven A. Wolfman (Comput. Graph., 2005)

Minimum Triangle Separation for Correct Z-Buffer Occlusion. - Kurt Akeley; Jonathan Su (Graphics Hardware, 2006)

Two-way coupling of fluids to rigid and deformable solids and shells. - Avi Robinson-Mosher; Tamar Shinar; Jon Gretarsson; Jonathan Su; Ronald Fedkiw (ACM Trans. Graph., 2008)

Energy stability and fracture for frame rate rigid body simulations. - Jonathan Su; Craig A. Schroeder; Ronald Fedkiw (Symposium on Computer Animation, 2009)

Increasing engagement in automata theory with JFLAP. - Susan H. Rodger; Eric N. Wiebe; Kyung Min Lee; Chris Morgan; Kareem Omar; Jonathan Su (SIGCSE, 2009)

A method for avoiding the acoustic time step restriction in compressible flow. - Nipun Kwatra; Jonathan Su; Jón Tómas Grétarsson; Ronald Fedkiw (J. Comput. Phys., 2009)

Robust High-Resolution Cloth Using Parallelism, History-Based Collisions, and Accurate Friction. - Andrew Selle; Jonathan Su; Geoffrey Irving; Ronald Fedkiw (IEEE Trans. Vis. Comput. Graph., 2009)

Changes to JFLAP to increase its use in courses. - Susan H. Rodger; Henry Qin; Jonathan Su (ITiCSE, 2011)

Efficient and scalable simulation of solids and fluids. - Jonathan Su (2011)

Energy Conservation for the Simulation of Deformable Bodies. - Jonathan Su; Rahul Sheth; Ronald Fedkiw (IEEE Trans. Vis. Comput. Graph., 2013)

This looks like that: deep learning for interpretable image recognition. - Chaofan Chen; Oscar Li; Alina Barnett; Jonathan Su; Cynthia Rudin (CoRR, 2018)

This Looks Like That: Deep Learning for Interpretable Image Recognition. - Chaofan Chen; Oscar Li; Daniel Tao; Alina Barnett; Cynthia Rudin; Jonathan Su (NeurIPS, 2019)

AI Enabling Technologies: A Survey. - Vijay Gadepally; Justin Goodwin; Jeremy Kepner; Albert Reuther; Hayley Reynolds; Siddharth Samsi; Jonathan Su; David Martinez (CoRR, 2019)