| Multimodal Model-Agnostic Meta-Learning via Task-Aware Modulation R Vuorio, SH Sun, H Hu, JJ Lim Neural Information Processing Systems (NeurIPS), 2019 | 277 | 2019 |
| Multi-view to Novel View: Synthesizing Novel Views with Self-Learned Confidence SH Sun, M Huh, YH Liao, N Zhang, JJ Lim European Conference on Computer Vision (ECCV), 2018 | 164 | 2018 |
| Exploiting image structural similarity for single image rain removal SH Sun, SP Fan, YCF Wang IEEE International Conference on Image Processing (ICIP), 2014 | 133 | 2014 |
| Composing Complex Skills by Learning Transition Policies Y Lee, SH Sun, S Somasundaram, E Hu, JJ Lim International Conference on Learning Representations (ICLR), 2018 | 98 | 2018 |
| Neural Program Synthesis from Diverse Demonstration Videos SH Sun, H Noh, S Somasundaram, J Lim International Conference on Machine Learning (ICML), 2018 | 76 | 2018 |
| Program guided agent SH Sun, TL Wu, JJ Lim International Conference on Learning Representations (ICLR), 2020 | 74 | 2020 |
| Learning to Synthesize Programs as Interpretable and Generalizable Policies D Trivedi, J Zhang, SH Sun, JJ Lim Neural Information Processing Systems (NeurIPS), 2021 | 73 | 2021 |
| Bootstrap your own skills: Learning to solve new tasks with large language model guidance J Zhang, J Zhang, K Pertsch, Z Liu, X Ren, M Chang, SH Sun, JJ Lim Conference on Robot Learning (CoRL), 2023 | 56 | 2023 |
| Skill-based Meta-Reinforcement Learning T Nam, SH Sun, K Pertsch, SJ Hwang13, JJ Lim International Conference on Learning Representations (ICLR), 2022 | 50 | 2022 |
| Generalizable Imitation Learning from Observation via Inferring Goal Proximity Y Lee, A Szot, SH Sun, JJ Lim Neural Information Processing Systems (NeurIPS), 2021 | 41 | 2021 |
| Learning to Act from Actionless Videos through Dense Correspondences PC Ko, J Mao, Y Du, SH Sun, JB Tenenbaum International Conference on Learning Representations (ICLR), 2024 | 37 | 2024 |
| Toward multimodal model-agnostic meta-learning R Vuorio, SH Sun, H Hu, JJ Lim Meta-learning Workshop at Neural Information Processing Systems (NeurIPS), 2018 | 32 | 2018 |
| Feedback Adversarial Learning: Spatial Feedback for Improving Generative Adversarial Networks M Huh, SH Sun, N Zhang IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019 | 31 | 2019 |
| Multi-digit MNIST for Few-shot Learning SH Sun URL https://github. com/shaohua0116/MultiDigitMNIST, 2019 | 24* | 2019 |
| Diffusion model-augmented behavioral cloning SF Chen, HC Wang, MH Hsu, CM Lai, SH Sun International Conference on Machine Learning (ICML), 2024 | 18 | 2024 |
| LLM Discussion: Enhancing the Creativity of Large Language Models via Discussion Framework and Role-Play LC Lu, SJ Chen, TM Pai, CH Yu, H Lee, SH Sun Conference on Language Modeling (COLM), 2024 | 14 | 2024 |
| Hierarchical Programmatic Reinforcement Learning via Learning to Compose Programs GT Liu, EP Hu, PJ Cheng, HY Lee, SH Sun International Conference on Machine Learning (ICML), 2023 | 13 | 2023 |
| Behavioral clusters revealed by end-to-end decoding from microendoscopic imaging CJ Chang, W Guo, J Zhang, J Newman, SH Sun, M Wilson BioRxiv, 2021.04. 15.440055, 2021 | 7 | 2021 |
| Efficient Multi-Task Reinforcement Learning via Selective Behavior Sharing G Zhang, A Jain, I Hwang, SH Sun, JJ Lim Deep Reinforcement Learning Workshop at Neural Information Processing …, 2022 | 6 | 2022 |
| Synthesizing Programmatic Reinforcement Learning Policies with Large Language Model Guided Search M Liu, CH Yu, WH Lee, CW Hung, YC Chen, SH Sun arXiv preprint arXiv:2405.16450, 2024 | 4 | 2024 |
Joseph J. LimAssociate Professor at KAISTVerified email at csail.mit.edu
