Shao-Hua Sun

Orcid: 0000-0001-7579-6734

According to our database¹, Shao-Hua Sun authored at least 41 papers between 2011 and 2025.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Links

On csauthors.net:

Bibliography

2025

Action-Constrained Imitation Learning.

[BibT_eX]

[DOI]

CoRR, August, 2025

Rethinking Creativity Evaluation: A Critical Analysis of Existing Creativity Evaluations.

[BibT_eX]

[DOI]

CoRR, August, 2025

CooT: Learning to Coordinate In-Context with Coordination Transformers.

[BibT_eX]

[DOI]

CoRR, June, 2025

Adaptive Helpfulness-Harmlessness Alignment with Preference Vectors.

[BibT_eX]

[DOI]

CoRR, April, 2025

SimTube: Simulating Audience Feedback on Videos using Generative AI and User Personas.

[BibT_eX]

[DOI]

Proceedings of the 30th International Conference on Intelligent User Interfaces, 2025

QMP: Q-switch Mixture of Policies for Multi-Task Behavior Sharing.

[BibT_eX]

[DOI]

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Synthesizing Programmatic Reinforcement Learning Policies with Large Language Model Guided Search.

[BibT_eX]

[DOI]

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Efficient Action-Constrained Reinforcement Learning via Acceptance-Rejection Method and Augmented MDPs.

[BibT_eX]

[DOI]

Wei Hung

Shao-Hua Sun

Ping-Chun Hsieh

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

HERO: Human-Feedback Efficient Reinforcement Learning for Online Diffusion Model Finetuning.

[BibT_eX]

[DOI]

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

SimTube: Generating Simulated Video Comments through Multimodal AI and User Personas.

[BibT_eX]

[DOI]

CoRR, 2024

Human-Feedback Efficient Reinforcement Learning for Online Diffusion Model Finetuning.

[BibT_eX]

[DOI]

CoRR, 2024

Scalable Numerical Embeddings for Multivariate Time Series: Enhancing Healthcare Data Representation Learning.

[BibT_eX]

[DOI]

CoRR, 2024

LLM Discussion: Enhancing the Creativity of Large Language Models via Discussion Framework and Role-Play.

[BibT_eX]

[DOI]

CoRR, 2024

REBORN: Reinforcement-Learned Boundary Segmentation with Iterative Training for Unsupervised ASR.

[BibT_eX]

[DOI]

Liang-Hsuan Tseng

En-Pei Hu

David Cheng-Han Chiang

CoRR, 2024

REBORN: Reinforcement-Learned Boundary Segmentation with Iterative Training for Unsupervised ASR.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Hierarchical Programmatic Option Framework.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Diffusion-Reward Adversarial Imitation Learning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Diffusion Imitation from Observation.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Diffusion Model-Augmented Behavioral Cloning.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Integrating Planning and Deep Reinforcement Learning via Automatic Induction of Task Substructures.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Learning to Act from Actionless Videos through Dense Correspondences.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Addressing Long-Horizon Tasks by Integrating Program Synthesis and State Machines.

[BibT_eX]

[DOI]

CoRR, 2023

Hierarchical Neural Program Synthesis.

[BibT_eX]

[DOI]

CoRR, 2023

Diffusion Model-Augmented Behavioral Cloning.

[BibT_eX]

[DOI]

Hsiang-Chun Wang

Shang-Fu Chen

Shao-Hua Sun

CoRR, 2023

Efficient Multi-Task Reinforcement Learning via Selective Behavior Sharing.

[BibT_eX]

[DOI]

CoRR, 2023

Hierarchical Programmatic Reinforcement Learning via Learning to Compose Programs.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

Location-Aware Visual Question Generation with Lightweight Models.

[BibT_eX]

[DOI]

Nicholas Collin Suwono

Justin Chih-Yao Chen

Tun-Min Hung

Ting-Hao (Kenneth) Huang

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Bootstrap Your Own Skills: Learning to Solve New Tasks with Large Language Model Guidance.

[BibT_eX]

[DOI]

Proceedings of the Conference on Robot Learning, 2023

2022

Skill-based Meta-Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Learning to Synthesize Programs as Interpretable and Generalizable Policies.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Generalizable Imitation Learning from Observation via Inferring Goal Proximity.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

Program Guided Agent.

[BibT_eX]

[DOI]

Shao-Hua Sun

Te-Lin Wu

Joseph J. Lim

Proceedings of the 8th International Conference on Learning Representations, 2020

2019

Multimodal Model-Agnostic Meta-Learning via Task-Aware Modulation.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Composing Complex Skills by Learning Transition Policies.

[BibT_eX]

[DOI]

Proceedings of the 7th International Conference on Learning Representations, 2019

Feedback Adversarial Learning: Spatial Feedback for Improving Generative Adversarial Networks.

[BibT_eX]

[DOI]

Minyoung Huh

Shao-Hua Sun

Ning Zhang

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

Toward Multimodal Model-Agnostic Meta-Learning.

[BibT_eX]

[DOI]

CoRR, 2018

Neural Program Synthesis from Diverse Demonstration Videos.

[BibT_eX]

[DOI]

Proceedings of the 35th International Conference on Machine Learning, 2018

Multi-view to Novel View: Synthesizing Novel Views With Self-learned Confidence.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2018, 2018

2015

Undergraduate Students Compete in the IEEE Signal Processing Cup: Part 2 [sp Education].

[BibT_eX]

[DOI]

IEEE Signal Process. Mag., 2015

2014

Exploiting image structural similarity for single image rain removal.

[BibT_eX]

[DOI]

Shao-Hua Sun

Shang-Pu Fan

Yu-Chiang Frank Wang

Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

2011

Studies of the working characters of the aerial vehicle's safety control system.

[BibT_eX]

[DOI]

Ya-Ling Shang

Ming Lu

Shao-Hua Sun

Int. J. Model. Identif. Control., 2011

Shao-Hua Sun

Timeline

Legend:

Links

On csauthors.net:

Bibliography

Loading...