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2020 – today
- 2024
[c16]Po-Chen Ko, Jiayuan Mao, Yilun Du, Shao-Hua Sun, Joshua B. Tenenbaum:
Learning to Act from Actionless Videos through Dense Correspondences. ICLR 2024- [c15]Jung-Chun Liu, Chi-Hsien Chang, Shao-Hua Sun, Tian-Li Yu:
Integrating Planning and Deep Reinforcement Learning via Automatic Induction of Task Substructures. ICLR 2024 - [c14]Shang-Fu Chen, Hsiang-Chun Wang, Ming-Hao Hsu, Chun-Mao Lai, Shao-Hua Sun:
Diffusion Model-Augmented Behavioral Cloning. ICML 2024 - [i19]Liang-Hsuan Tseng, En-Pei Hu, David Cheng-Han Chiang, Yuan Tseng, Hung-yi Lee, Lin-Shan Lee, Shao-Hua Sun:
REBORN: Reinforcement-Learned Boundary Segmentation with Iterative Training for Unsupervised ASR. CoRR abs/2402.03988 (2024) - [i18]Li-Chun Lu, Shou-Jen Chen, Tsung-Min Pai, Chan-Hung Yu, Hung-yi Lee, Shao-Hua Sun:
LLM Discussion: Enhancing the Creativity of Large Language Models via Discussion Framework and Role-Play. CoRR abs/2405.06373 (2024) - [i17]Chun-Mao Lai, Hsiang-Chun Wang, Ping-Chun Hsieh, Yu-Chiang Frank Wang, Min-Hung Chen, Shao-Hua Sun:
Diffusion-Reward Adversarial Imitation Learning. CoRR abs/2405.16194 (2024) - [i16]Max Liu, Chan-Hung Yu, Wei-Hsu Lee, Cheng-Wei Hung, Yen-Chun Chen, Shao-Hua Sun:
Synthesizing Programmatic Reinforcement Learning Policies with Large Language Model Guided Search. CoRR abs/2405.16450 (2024) - [i15]Chun-Kai Huang, Yi-Hsien Hsieh, Ta-Jung Chien, Li-Cheng Chien, Shao-Hua Sun, Tung-Hung Su, Jia-Horng Kao, Che Lin:
Scalable Numerical Embeddings for Multivariate Time Series: Enhancing Healthcare Data Representation Learning. CoRR abs/2405.16557 (2024) - [i14]Ayano Hiranaka, Shang-Fu Chen, Chieh-Hsin Lai, Dongjun Kim, Naoki Murata, Takashi Shibuya, Wei-Hsiang Liao, Shao-Hua Sun, Yuki Mitsufuji:
Human-Feedback Efficient Reinforcement Learning for Online Diffusion Model Finetuning. CoRR abs/2410.05116 (2024) - [i13]Bo-Ruei Huang, Chun-Kai Yang, Chun-Mao Lai, Dai-Jie Wu, Shao-Hua Sun:
Diffusion Imitation from Observation. CoRR abs/2410.05429 (2024) - 2023
- [c13]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. CoRL 2023: 302-325 - [c12]Nicholas Collin Suwono, Justin Chih-Yao Chen, Tun-Min Hung, Ting-Hao (Kenneth) Huang, I-Bin Liao, Yung-Hui Li, Lun-Wei Ku, Shao-Hua Sun:
Location-Aware Visual Question Generation with Lightweight Models. EMNLP 2023: 1415-1432 - [c11]Guan-Ting Liu, En-Pei Hu, Pu-Jen Cheng, Hung-Yi Lee, Shao-Hua Sun:
Hierarchical Programmatic Reinforcement Learning via Learning to Compose Programs. ICML 2023: 21672-21697 - [i12]Guan-Ting Liu, En-Pei Hu, Pu-Jen Cheng, Hung-Yi Lee, Shao-Hua Sun:
Hierarchical Programmatic Reinforcement Learning via Learning to Compose Programs. CoRR abs/2301.12950 (2023) - [i11]Grace Zhang, Ayush Jain, Injune Hwang, Shao-Hua Sun, Joseph J. Lim:
Efficient Multi-Task Reinforcement Learning via Selective Behavior Sharing. CoRR abs/2302.00671 (2023) - [i10]Hsiang-Chun Wang, Shang-Fu Chen, Shao-Hua Sun:
Diffusion Model-Augmented Behavioral Cloning. CoRR abs/2302.13335 (2023) - [i9]Linghan Zhong, Ryan Lindeborg, Jesse Zhang, Joseph J. Lim, Shao-Hua Sun:
Hierarchical Neural Program Synthesis. CoRR abs/2303.06018 (2023) - [i8]Po-Chen Ko, Jiayuan Mao, Yilun Du, Shao-Hua Sun, Joshua B. Tenenbaum:
Learning to Act from Actionless Videos through Dense Correspondences. CoRR abs/2310.08576 (2023) - [i7]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. CoRR abs/2310.10021 (2023) - [i6]Nicholas Collin Suwono, Justin Chih-Yao Chen, Tun-Min Hung, Ting-Hao Kenneth Huang, I-Bin Liao, Yung-Hui Li, Lun-Wei Ku, Shao-Hua Sun:
Location-Aware Visual Question Generation with Lightweight Models. CoRR abs/2310.15129 (2023) - [i5]Yu-An Lin, Chen-Tao Lee, Guan-Ting Liu, Pu-Jen Cheng, Shao-Hua Sun:
Addressing Long-Horizon Tasks by Integrating Program Synthesis and State Machines. CoRR abs/2311.15960 (2023) - 2022
- [c10]Taewook Nam, Shao-Hua Sun, Karl Pertsch, Sung Ju Hwang, Joseph J. Lim:
Skill-based Meta-Reinforcement Learning. ICLR 2022 - [i4]Taewook Nam, Shao-Hua Sun, Karl Pertsch, Sung Ju Hwang, Joseph J. Lim:
Skill-based Meta-Reinforcement Learning. CoRR abs/2204.11828 (2022) - 2021
- [c9]Youngwoon Lee, Andrew Szot, Shao-Hua Sun, Joseph J. Lim:
Generalizable Imitation Learning from Observation via Inferring Goal Proximity. NeurIPS 2021: 16118-16130 - [c8]Dweep Trivedi, Jesse Zhang, Shao-Hua Sun, Joseph J. Lim:
Learning to Synthesize Programs as Interpretable and Generalizable Policies. NeurIPS 2021: 25146-25163 - [i3]Dweep Trivedi, Jesse Zhang, Shao-Hua Sun, Joseph J. Lim:
Learning to Synthesize Programs as Interpretable and Generalizable Policies. CoRR abs/2108.13643 (2021) - 2020
- [c7]Shao-Hua Sun, Te-Lin Wu, Joseph J. Lim:
Program Guided Agent. ICLR 2020
2010 – 2019
- 2019
- [c6]Minyoung Huh, Shao-Hua Sun, Ning Zhang:
Feedback Adversarial Learning: Spatial Feedback for Improving Generative Adversarial Networks. CVPR 2019: 1476-1485 - [c5]Youngwoon Lee, Shao-Hua Sun, Sriram Somasundaram, Edward S. Hu, Joseph J. Lim:
Composing Complex Skills by Learning Transition Policies. ICLR (Poster) 2019 - [c4]Risto Vuorio, Shao-Hua Sun, Hexiang Hu, Joseph J. Lim:
Multimodal Model-Agnostic Meta-Learning via Task-Aware Modulation. NeurIPS 2019: 1-12 - [i2]Risto Vuorio, Shao-Hua Sun, Hexiang Hu, Joseph J. Lim:
Multimodal Model-Agnostic Meta-Learning via Task-Aware Modulation. CoRR abs/1910.13616 (2019) - 2018
- [c3]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. ECCV (3) 2018: 162-178 - [c2]Shao-Hua Sun, Hyeonwoo Noh, Sriram Somasundaram, Joseph J. Lim:
Neural Program Synthesis from Diverse Demonstration Videos. ICML 2018: 4797-4806 - [i1]Risto Vuorio, Shao-Hua Sun, Hexiang Hu, Joseph J. Lim:
Toward Multimodal Model-Agnostic Meta-Learning. CoRR abs/1812.07172 (2018) - 2015
- [j2]Carlos Oscar Sánchez Sorzano
, Anik Khan, Forsad Al Hossain, Tawab Ullash, Abu Raihan, Mohammed Ariful Haque, Kai-Wen Liang, Yen-Chen Wu, Guan-Lin Chao, Kuan-Hao Huang, Shao-Hua Sun, Ming-Jen Yang, Po-Wen Hsiao, Ti-Fen Pan, Yi-Ching Chiu, Wei-Chih Tu, Shao-Yi Chien, Emroz Khan, Shiekh Zia Uddin, Mukhlasur Rhaman Tanvir, Md. Kamrul Hasan, Jesús Cuenca Alba:
Undergraduate Students Compete in the IEEE Signal Processing Cup: Part 2 [sp Education]. IEEE Signal Process. Mag. 32(5): 109-111 (2015) - 2014
- [c1]Shao-Hua Sun, Shang-Pu Fan, Yu-Chiang Frank Wang:
Exploiting image structural similarity for single image rain removal. ICIP 2014: 4482-4486 - 2011
- [j1]Ya-Ling Shang, Ming Lu, Shao-Hua Sun:
Studies of the working characters of the aerial vehicle's safety control system. Int. J. Model. Identif. Control. 12(1/2): 72-76 (2011)
Coauthor Index
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