Anytime Dense Prediction with Confidence Adaptivity. - Zhuang Liu 003; Zhiqiu Xu; Hung-Ju Wang; Trevor Darrell; Evan Shelhamer (ICLR, 2022)

Exploring Simple and Transferable Recognition-Aware Image Processing. - Zhuang Liu 003; Hung-Ju Wang; Tinghui Zhou; Zhiqiang Shen; Bingyi Kang; Evan Shelhamer; Trevor Darrell (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Environment Curriculum Generation via Large Language Models. - William Liang; Sam Wang; Hung-Ju Wang; Osbert Bastani; Dinesh Jayaraman; Yecheng Jason Ma (CoRL, 2024)

DrEureka: Language Model Guided Sim-To-Real Transfer. - Yecheng Jason Ma; William Liang; Hung-Ju Wang; Yuke Zhu; Linxi Fan; Osbert Bastani; Dinesh Jayaraman (Robotics: Science and Systems, 2024)

DrEureka: Language Model Guided Sim-To-Real Transfer. - Yecheng Jason Ma; William Liang; Hung-Ju Wang; Sam Wang; Yuke Zhu; Linxi Fan; Osbert Bastani; Dinesh Jayaraman (CoRR, 2024)

Eurekaverse: Environment Curriculum Generation via Large Language Models. - William Liang; Sam Wang; Hung-Ju Wang; Osbert Bastani; Dinesh Jayaraman; Yecheng Jason Ma (CoRR, 2024)

Articulate-Anything: Automatic Modeling of Articulated Objects via a Vision-Language Foundation Model. - Long Le; Jason Xie; William Liang; Hung-Ju Wang; Yue Yang; Yecheng Jason Ma; Kyle Vedder; Arjun Krishna; Dinesh Jayaraman; Eric Eaton (ICLR, 2025)