Underwater multi-robot convoying using visual tracking by detection. - Florian Shkurti; Wei-Di Chang; Peter Henderson 002; Md Jahidul Islam; Juan Camilo Gamboa Higuera; Jimmy Li 001; Travis Manderson; Anqi Xu 003; Gregory Dudek; Junaed Sattar (IROS, 2017)

Benchmark Environments for Multitask Learning in Continuous Domains. - Peter Henderson 002; Wei-Di Chang; Florian Shkurti; Johanna Hansen; David Meger; Gregory Dudek (CoRR, 2017)

OptionGAN: Learning Joint Reward-Policy Options Using Generative Adversarial Inverse Reinforcement Learning. - Peter Henderson 002; Wei-Di Chang; Pierre-Luc Bacon; David Meger; Joelle Pineau; Doina Precup (AAAI, 2018)

One-Shot Informed Robotic Visual Search in the Wild. - Karim Koreitem; Florian Shkurti; Travis Manderson; Wei-Di Chang; Juan Camilo Gamboa Higuera; Gregory Dudek (IROS, 2020)

IL-flOw: Imitation Learning from Observation using Normalizing Flows. - Wei-Di Chang; Juan Camilo Gamboa Higuera; Scott Fujimoto; David Meger; Gregory Dudek (CoRR, 2022)

Self-Supervised Transformer Architecture for Change Detection in Radio Access Networks. - Igor Kozlov; Dmitriy Rivkin; Wei-Di Chang; Di Wu 044; Xue Liu 004; Gregory Dudek (ICC, 2023)

For SALE: State-Action Representation Learning for Deep Reinforcement Learning. - Scott Fujimoto; Wei-Di Chang; Edward J. Smith; Shixiang Gu; Doina Precup; David Meger (NeurIPS, 2023)

Generalizable Imitation Learning Through Pre-Trained Representations. - Wei-Di Chang; Francois Robert Hogan; David Meger; Gregory Dudek (CoRR, 2023)

Imitation Learning from Observation through Optimal Transport. - Wei-Di Chang; Scott Fujimoto; David Meger; Gregory Dudek (RLJ, 2024)

Seeing the Unseen: How EMoE Unveils Bias in Text-to-Image Diffusion Models. - Lucas Berry; Axel Brando; Wei-Di Chang; Juan Camilo Gamboa Higuera; David Meger (CoRR, 2025)