Studies of the working characters of the aerial vehicle's safety control system. - Ya-Ling Shang; Ming Lu; Shao-Hua Sun (Int. J. Model. Identif. Control., 2011)

Exploiting image structural similarity for single image rain removal. - Shao-Hua Sun; Shang-Pu Fan; Yu-Chiang Frank Wang (ICIP, 2014)

Undergraduate Students Compete in the IEEE Signal Processing Cup: Part 2 [sp Education]. - 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; et al. (IEEE Signal Process. Mag., 2015)

Multi-view to Novel View: Synthesizing Novel Views With Self-learned Confidence. - Shao-Hua Sun; Minyoung Huh; Yuan-Hong Liao; Ning Zhang; Joseph J. Lim (ECCV (3), 2018)

Neural Program Synthesis from Diverse Demonstration Videos. - Shao-Hua Sun; Hyeonwoo Noh; Sriram Somasundaram; Joseph J. Lim (ICML, 2018)

Toward Multimodal Model-Agnostic Meta-Learning. - Risto Vuorio; Shao-Hua Sun; Hexiang Hu; Joseph J. Lim (CoRR, 2018)

Feedback Adversarial Learning: Spatial Feedback for Improving Generative Adversarial Networks. - Minyoung Huh; Shao-Hua Sun; Ning Zhang (CVPR, 2019)

Composing Complex Skills by Learning Transition Policies. - Youngwoon Lee; Shao-Hua Sun; Sriram Somasundaram; Edward S. Hu; Joseph J. Lim (ICLR (Poster), 2019)

Multimodal Model-Agnostic Meta-Learning via Task-Aware Modulation. - Risto Vuorio; Shao-Hua Sun; Hexiang Hu; Joseph J. Lim (NeurIPS, 2019)

Program Guided Agent. - Shao-Hua Sun; Te-Lin Wu; Joseph J. Lim (ICLR, 2020)

Generalizable Imitation Learning from Observation via Inferring Goal Proximity. - Youngwoon Lee; Andrew Szot; Shao-Hua Sun; Joseph J. Lim (NeurIPS, 2021)

Learning to Synthesize Programs as Interpretable and Generalizable Policies. - Dweep Trivedi; Jesse Zhang; Shao-Hua Sun; Joseph J. Lim (NeurIPS, 2021)

Skill-based Meta-Reinforcement Learning. - Taewook Nam; Shao-Hua Sun; Karl Pertsch; Sung Ju Hwang; Joseph J. Lim (ICLR, 2022)

Bootstrap Your Own Skills: Learning to Solve New Tasks with Large Language Model Guidance. - Jesse Zhang; Jiahui Zhang; Karl Pertsch; Ziyi Liu; Xiang Ren; Minsuk Chang; Shao-Hua Sun; Joseph J. Lim (CoRL, 2023)

Location-Aware Visual Question Generation with Lightweight Models. - 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 (EMNLP, 2023)

Hierarchical Programmatic Reinforcement Learning via Learning to Compose Programs. - Guan-Ting Liu; En-Pei Hu; Pu-Jen Cheng; Hung-Yi Lee; Shao-Hua Sun (ICML, 2023)

Efficient Multi-Task Reinforcement Learning via Selective Behavior Sharing. - Grace Zhang; Ayush Jain 003; Injune Hwang; Shao-Hua Sun; Joseph J. Lim (CoRR, 2023)

Diffusion Model-Augmented Behavioral Cloning. - Hsiang-Chun Wang; Shang-Fu Chen; Shao-Hua Sun (CoRR, 2023)

Hierarchical Neural Program Synthesis. - Linghan Zhong; Ryan Lindeborg; Jesse Zhang; Joseph J. Lim; Shao-Hua Sun (CoRR, 2023)

Addressing Long-Horizon Tasks by Integrating Program Synthesis and State Machines. - Yu-An Lin; Chen-Tao Lee; Guan-Ting Liu; Pu-Jen Cheng; Shao-Hua Sun (CoRR, 2023)

Learning to Act from Actionless Videos through Dense Correspondences. - Po-Chen Ko; Jiayuan Mao; Yilun Du; Shao-Hua Sun; Joshua B. Tenenbaum (ICLR, 2024)

Integrating Planning and Deep Reinforcement Learning via Automatic Induction of Task Substructures. - Jung-Chun Liu; Chi-Hsien Chang; Shao-Hua Sun; Tian-Li Yu 001 (ICLR, 2024)

Diffusion Model-Augmented Behavioral Cloning. - Shang-Fu Chen; Hsiang-Chun Wang; Ming-Hao Hsu; Chun-Mao Lai; Shao-Hua Sun (ICML, 2024)

Diffusion Imitation from Observation. - Bo-Ruei Huang; Chun-Kai Yang; Chun-Mao Lai; Dai-Jie Wu; Shao-Hua Sun (NeurIPS, 2024)

Diffusion-Reward Adversarial Imitation Learning. - Chun-Mao Lai; Hsiang-Chun Wang; Ping-Chun Hsieh; Yu-Chiang Frank Wang; Min-Hung Chen; Shao-Hua Sun (NeurIPS, 2024)

Hierarchical Programmatic Option Framework. - Yu-An Lin; Chen-Tao Lee; Chih-Han Yang; Guan-Ting Liu; Shao-Hua Sun (NeurIPS, 2024)

REBORN: Reinforcement-Learned Boundary Segmentation with Iterative Training for Unsupervised ASR. - Liang-Hsuan Tseng; En-Pei Hu; Cheng-Han Chiang; Yuan Tseng; Hung-yi Lee; Lin-Shan Lee; Shao-Hua Sun (NeurIPS, 2024)

REBORN: Reinforcement-Learned Boundary Segmentation with Iterative Training for Unsupervised ASR. - Liang-Hsuan Tseng; En-Pei Hu; David Cheng-Han Chiang; Yuan Tseng; Hung-yi Lee; Lin-Shan Lee; Shao-Hua Sun (CoRR, 2024)

LLM Discussion: Enhancing the Creativity of Large Language Models via Discussion Framework and Role-Play. - Li-Chun Lu; Shou-Jen Chen; Tsung-Min Pai; Chan-Hung Yu; Hung-yi Lee; Shao-Hua Sun (CoRR, 2024)

Scalable Numerical Embeddings for Multivariate Time Series: Enhancing Healthcare Data Representation Learning. - Chun-Kai Huang; Yi-Hsien Hsieh; Ta-Jung Chien; Li-Cheng Chien; Shao-Hua Sun; Tung-Hung Su; Jia-Horng Kao; Che Lin (CoRR, 2024)

Human-Feedback Efficient Reinforcement Learning for Online Diffusion Model Finetuning. - Ayano Hiranaka; Shang-Fu Chen; Chieh-Hsin Lai; Dongjun Kim; Naoki Murata; Takashi Shibuya 001; Wei-Hsiang Liao 001; Shao-Hua Sun; Yuki Mitsufuji (CoRR, 2024)

SimTube: Generating Simulated Video Comments through Multimodal AI and User Personas. - Yukai Hung; Yun-Chien Huang; Ting-Yu Su; Yen-Ting Lin; Lung-Pan Cheng; Bryan Wang; Shao-Hua Sun (CoRR, 2024)

HERO: Human-Feedback Efficient Reinforcement Learning for Online Diffusion Model Finetuning. - Ayano Hiranaka; Shang-Fu Chen; Chieh-Hsin Lai; Dongjun Kim; Naoki Murata; Takashi Shibuya 001; Wei-Hsiang Liao 001; Shao-Hua Sun; Yuki Mitsufuji (ICLR, 2025)

Efficient Action-Constrained Reinforcement Learning via Acceptance-Rejection Method and Augmented MDPs. - Wei Hung; Shao-Hua Sun; Ping-Chun Hsieh (ICLR, 2025)

Synthesizing Programmatic Reinforcement Learning Policies with Large Language Model Guided Search. - Max Liu; Chan-Hung Yu; Wei-Hsu Lee; Cheng-Wei Hung; Yen-Chun Chen; Shao-Hua Sun (ICLR, 2025)

QMP: Q-switch Mixture of Policies for Multi-Task Behavior Sharing. - Grace Zhang; Ayush Jain 003; Injune Hwang; Shao-Hua Sun; Joseph J. Lim (ICLR, 2025)

SimTube: Simulating Audience Feedback on Videos using Generative AI and User Personas. - Yukai Hung; Yun-Chien Huang; Ting-Yu Su; Yen-Ting Lin; Lung-Pan Cheng; Bryan Wang; Shao-Hua Sun (IUI, 2025)

Adaptive Helpfulness-Harmlessness Alignment with Preference Vectors. - Ren-Wei Liang; Chin-Ting Hsu; Chan-Hung Yu; Saransh Agrawal; Shih-Cheng Huang; Shang-Tse Chen; Kuan-Hao Huang; Shao-Hua Sun (CoRR, 2025)

CooT: Learning to Coordinate In-Context with Coordination Transformers. - Huai-Chih Wang; Hsiang-Chun Chuang; Hsi-Chun Cheng; Dai-Jie Wu; Shao-Hua Sun (CoRR, 2025)

Rethinking Creativity Evaluation: A Critical Analysis of Existing Creativity Evaluations. - Li-Chun Lu; Miri Liu; Pin-Chun Lu; Yufei Tian; Shao-Hua Sun; Nanyun Peng 001 (CoRR, 2025)

Action-Constrained Imitation Learning. - Chia-Han Yeh; Tse-Sheng Nan; Risto Vuorio; Wei Hung; Hung-Yen Wu; Shao-Hua Sun; Ping-Chun Hsieh (CoRR, 2025)