RetainVis: Visual Analytics with Interpretable and Interactive Recurrent Neural Networks on Electronic Medical Records. - Bum Chul Kwon; Minje Choi; Joanne Taery Kim; Edward Choi; Young Bin Kim; Soonwook Kwon; Jimeng Sun 001; Jaegul Choo (IEEE Trans. Vis. Comput. Graph., 2019)

Cars Can't Fly Up in the Sky: Improving Urban-Scene Segmentation via Height-Driven Attention Networks. - Sungha Choi; Joanne Taery Kim; Jaegul Choo (CVPR, 2020)

An Interactive Visualization Platform for Deep Symbolic Regression. - Joanne Taery Kim; Sookyung Kim; Brenden K. Petersen (IJCAI, 2020)

RobustNet: Improving Domain Generalization in Urban-Scene Segmentation via Instance Selective Whitening. - Sungha Choi; Sanghun Jung; Huiwon Yun; Joanne Taery Kim; Seungryong Kim; Jaegul Choo (CVPR, 2021)

Deep symbolic regression: Recovering mathematical expressions from data via risk-seeking policy gradients. - Brenden K. Petersen; Mikel Landajuela; T. Nathan Mundhenk; Cláudio Prata Santiago; Sookyung Kim; Joanne Taery Kim (ICLR, 2021)

Observation Space Matters: Benchmark and Optimization Algorithm. - Joanne Taery Kim; Sehoon Ha (ICRA, 2021)

Distilling Wikipedia mathematical knowledge into neural network models. - Joanne Taery Kim; Mikel Landajuela; Brenden K. Petersen (CoRR, 2021)

Learning Robot Structure and Motion Embeddings using Graph Neural Networks. - Joanne Taery Kim; Jeongeun Park 002; Sungjoon Choi; Sehoon Ha (CoRR, 2021)

Predicting Energetics Materials' Crystalline Density from Chemical Structure by Machine Learning. - Phan Nguyen; Donald Loveland; Joanne Taery Kim; Piyush Karande; Anna M. Hiszpanski; Thomas Yong-Jin Han (J. Chem. Inf. Model., 2021)

Transforming a Quadruped into a Guide Robot for the Visually Impaired: Formalizing Wayfinding, Interaction Modeling, and Safety Mechanism. - Joanne Taery Kim; Wenhao Yu 003; Yash Kothari; Bruce N. Walker; Jie Tan 001; Greg Turk; Sehoon Ha (CoRL, 2023)

How to Train Your Guide Dog: Wayfinding and Safe Navigation with Human-Robot Modeling. - Joanne Taery Kim; Wenhao Yu 003; Jie Tan 001; Greg Turk; Sehoon Ha (HRI (Companion), 2023)

Transforming a Quadruped into a Guide Robot for the Visually Impaired: Formalizing Wayfinding, Interaction Modeling, and Safety Mechanism. - Joanne Taery Kim; Wenhao Yu 003; Yash Kothari; Jie Tan 001; Greg Turk; Sehoon Ha (CoRR, 2023)

Modeling social interaction dynamics using temporal graph networks. - Joanne Taery Kim; Archit Naik; Isuru Jayarathne; Sehoon Ha; Jouh Yeong Chew (RO-MAN, 2024)

Understanding Expectations for a Robotic Guide Dog for Visually Impaired People. - Joanne Taery Kim; Morgan Byrd; Jack L. Crandell; Bruce N. Walker; Greg Turk; Sehoon Ha (HRI, 2025)

Do Looks Matter? Exploring Functional and Aesthetic Design Preferences for a Robotic Guide Dog. - Aviv L. Cohav; A. Xinran Gong; Joanne Taery Kim; Clint Zeagler; Sehoon Ha; Bruce N. Walker (CoRR, 2025)

Deep Symbolic Optimization: Reinforcement Learning for Symbolic Mathematics. - Conor F. Hayes; Felipe Leno da Silva; Jiachen Yang; T. Nathan Mundhenk; Chak Shing Lee; Jacob F. Pettit; Claudio Santiago; Sookyung Kim; Joanne Taery Kim; Ignacio Aravena Solis; Ruben Glatt; Andre R. Goncalves; et al. (CoRR, 2025)