Guan-Ting Liu*, En-Pei Hu*, Pu-Jen Cheng, Hung-Yi Lee, Shao-Hua Sun, “Hierarchical Programmatic Reinforcement Learning via Learning to Compose Programs,” International Conference on Machine Learning (ICML) , 2023
Jesse Zhang, Jiahui Zhang, Karl Pertsch, Ziyi Liu, Xiang Ren, Minsuk Chang, Shao-Hua Sun, Joseph J. Lim, “Bootstrap Your Own Skills: Learning to Solve New Tasks with Large Language Model Guidance,” Conference on Robot Learning (CoRL), 2023
Shao-Hua Sun*, Hyeonwoo Noh*, Sriram Somasundaram, Joseph J. Lim, “Neural Program Synthesis from Diverse Demonstration Videos,” International Conference on Machine Learning (ICML), 2018
Shao-Hua Sun, Minyoung Huh, Yuan-Hong Liao, Ning Zhang, Joseph J. Lim, “Multi-view to Novel View: Synthesizing Novel Views with Self-Learned Confidence,” European Conference on Computer Vision (ECCV), 2018
Risto Vuorio, Shao-Hua Sun, Hexiang Hu, Joseph J. Lim, “Toward Multimodal Model-Agnostic Meta-Learning,” Neural Information Processing Systems (NeurIPS) Meta-Learning Workshop, 2018
Youngwoon Lee*, Shao-Hua Sun*, Sriram Somasundaram, Edward Hu, Joseph J. Lim, “Composing Complex Skills by Learning Transition Policies,” International Conference on Learning Representations (ICLR), 2019
Minyoung Huh*, Shao-Hua Sun*, Ning Zhang, “Feedback Adversarial Learning: Spatial Feedback for Improving Generative Adversarial Networks,” IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2019
Risto Vuorio*, Shao-Hua Sun*, Hexiang Hu, Joseph J. Lim, “Multimodal Model-Agnostic Meta-Learning via Task-Aware Modulation,” Neural Information Processing Systems (NeurIPS), 2019
Shao-Hua Sun, Te-Lin Wu, Joseph J. Lim, “Program Guided Agent,” International Conference on Learning Representations (ICLR), 2020
Youngwoon Lee, Andrew Szot, Shao-Hua Sun, Joseph J. Lim, “Generalizable Imitation Learning from Observation via Inferring Goal Proximity,” Neural Information Processing Systems (NeurIPS), 2021
Dweep Trivedi*, Jesse Zhang*, Shao-Hua Sun, Joseph J. Lim, “Learning to Synthesize Programs as Interpretable and Generalizable Policies,” Neural Information Processing Systems (NeurIPS), 2021
Taewook Nam, Shao-Hua Sun, Karl Pertsch, Sung Ju Hwang, Joseph J. Lim, “Skill-based Meta-Reinforcement Learning,” International Conference on Learning Representations (ICLR), 2022