Shao-Hua Sun

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 31

Top Topics

Reinforcement Learning

Graduate Students

Top Venues

Publications

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 (2024)
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)
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 (2024)
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 (2024)
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 (2024)
Po-Chen Ko, Jiayuan Mao, Yilun Du, Shao-Hua Sun, Joshua B. Tenenbaum
Learning to Act from Actionless Videos through Dense Correspondences. ICLR (2024)
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 (2024)
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)
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 (2023)
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 (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. CoRR (2023)
Hsiang-Chun Wang, Shang-Fu Chen, Shao-Hua Sun
Diffusion Model-Augmented Behavioral Cloning. CoRR (2023)
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)
Nicholas Collin Suwono, Justin Chih-Yao Chen, Tun-Min Hung, Ting-Hao Huang, I-Bin Liao, Yung-Hui Li, Lun-Wei Ku, Shao-Hua Sun
Location-Aware Visual Question Generation with Lightweight Models. EMNLP (2023)
Grace Zhang, Ayush Jain, Injune Hwang, Shao-Hua Sun, Joseph J. Lim
Efficient Multi-Task Reinforcement Learning via Selective Behavior Sharing. CoRR (2023)
Linghan Zhong, Ryan Lindeborg, Jesse Zhang, Joseph J. Lim, Shao-Hua Sun
Hierarchical Neural Program Synthesis. CoRR (2023)
Po-Chen Ko, Jiayuan Mao, Yilun Du, Shao-Hua Sun, Joshua B. Tenenbaum
Learning to Act from Actionless Videos through Dense Correspondences. CoRR (2023)
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 (2023)
Taewook Nam, Shao-Hua Sun, Karl Pertsch, Sung Ju Hwang, Joseph J. Lim
Skill-based Meta-Reinforcement Learning. ICLR (2022)
Taewook Nam, Shao-Hua Sun, Karl Pertsch, Sung Ju Hwang, Joseph J. Lim
Skill-based Meta-Reinforcement Learning. CoRR (2022)
Dweep Trivedi, Jesse Zhang, Shao-Hua Sun, Joseph J. Lim
Learning to Synthesize Programs as Interpretable and Generalizable Policies. CoRR (2021)
Youngwoon Lee, Andrew Szot, Shao-Hua Sun, Joseph J. Lim
Generalizable Imitation Learning from Observation via Inferring Goal Proximity. NeurIPS (2021)
Dweep Trivedi, Jesse Zhang, Shao-Hua Sun, Joseph J. Lim
Learning to Synthesize Programs as Interpretable and Generalizable Policies. NeurIPS (2021)
Shao-Hua Sun, Te-Lin Wu, Joseph J. Lim
Program Guided Agent. ICLR (2020)
Youngwoon Lee, Shao-Hua Sun, Sriram Somasundaram, Edward S. Hu, Joseph J. Lim
Composing Complex Skills by Learning Transition Policies. ICLR (Poster) (2019)
Risto Vuorio, Shao-Hua Sun, Hexiang Hu, Joseph J. Lim
Multimodal Model-Agnostic Meta-Learning via Task-Aware Modulation. NeurIPS (2019)
Risto Vuorio, Shao-Hua Sun, Hexiang Hu, Joseph J. Lim
Multimodal Model-Agnostic Meta-Learning via Task-Aware Modulation. CoRR (2019)
Minyoung Huh, Shao-Hua Sun, Ning Zhang
Feedback Adversarial Learning: Spatial Feedback for Improving Generative Adversarial Networks. CVPR (2019)
Risto Vuorio, Shao-Hua Sun, Hexiang Hu, Joseph J. Lim
Toward Multimodal Model-Agnostic Meta-Learning. CoRR (2018)
Shao-Hua Sun, Hyeonwoo Noh, Sriram Somasundaram, Joseph J. Lim
Neural Program Synthesis from Diverse Demonstration Videos. 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. ECCV (3) (2018)
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) (2015)
Shao-Hua Sun, Shang-Pu Fan, Yu-Chiang Frank Wang
Exploiting image structural similarity for single image rain removal. ICIP (2014)
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) (2011)