Shao-Hua Sun

66 papers A* 21A 1B 1Misc 1Journal 37Unranked 5
YearRankTypeTitle / Venue / Authors
2026 — conf
Adaptive Helpfulness-Harmlessness Alignment with Preference Vectors.
EACL (Volume 1: Long Papers)
Ren-Wei Liang, Chin-Ting Hsu, Chan-Hung Yu, Saransh Agrawal, Shih-Cheng Huang, Chieh-Yen Lin, Shang-Tse Chen, Kuan-Hao Huang, Shao-Hua Sun
2026 — conf
BILLY: Steering Large Language Models via Merging Persona Vectors for Creative Generation.
EACL (Volume 1: Long Papers)
Tsung-Min Pai, Jui-I Wang, Li-Chun Lu, Shao-Hua Sun, Hung-yi Lee, Kai-Wei Chang
2026 J jnl
Cell-JEPA: Latent Representation Learning for Single-Cell Transcriptomics.
CoRR
Ali ElSheikh, Rui-Xi Wang, Weimin Wu, Yibo Wen, Payam Dibaeinia, Jennifer Yuntong Zhang, Jerry Yao-Chieh Hu, Mei Knudson, Sudarshan Babu, Shao-Hua Sun, Aly A. Khan, Han Liu
2026 J jnl
On Calibration of Large Language Models: From Response To Capability.
CoRR
Sin-Han Yang, Cheng-Kuang Wu, Chieh-Yen Lin, Yun-Nung Chen, Hung-yi Lee, Shao-Hua Sun
2026 J jnl
Restoring Noisy Demonstration for Imitation Learning With Diffusion Models.
IEEE Trans. Neural Networks Learn. Syst.
Shang-Fu Chen, Co Yong, Shao-Hua Sun
2026 — conf
Rethinking Creativity Evaluation: A Critical Analysis of Existing Creativity Evaluations.
EACL (Volume 1: Long Papers)
Li-Chun Lu, Miri Liu, Pin-Chun Lu, Yufei Tian, Shao-Hua Sun, Nanyun Peng
2025 A* conf
Action-Constrained Imitation Learning.
ICML
Chia-Han Yeh, Tse-Sheng Nan, Risto Vuorio, Wei Hung, Hung-Yen Wu, Shao-Hua Sun, Ping-Chun Hsieh
2025 J jnl
Action-Constrained Imitation Learning.
CoRR
Chia-Han Yeh, Tse-Sheng Nan, Risto Vuorio, Wei Hung, Hung-Yen Wu, Shao-Hua Sun, Ping-Chun Hsieh
2025 J jnl
Adaptive Helpfulness-Harmlessness Alignment with Preference Vectors.
CoRR
Ren-Wei Liang, Chin-Ting Hsu, Chan-Hung Yu, Saransh Agrawal, Shih-Cheng Huang, Shang-Tse Chen, Kuan-Hao Huang, Shao-Hua Sun
2025 J jnl
BILLY: Steering Large Language Models via Merging Persona Vectors for Creative Generation.
CoRR
Tsung-Min Pai, Jui-I Wang, Li-Chun Lu, Shao-Hua Sun, Hung-yi Lee, Kai-Wei Chang
2025 J jnl
CooT: Learning to Coordinate In-Context with Coordination Transformers.
CoRR
Huai-Chih Wang, Hsiang-Chun Chuang, Hsi-Chun Cheng, Dai-Jie Wu, Shao-Hua Sun
2025 A* conf
Efficient Action-Constrained Reinforcement Learning via Acceptance-Rejection Method and Augmented MDPs.
ICLR
Wei Hung, Shao-Hua Sun, Ping-Chun Hsieh
2025 J jnl
Efficient Action-Constrained Reinforcement Learning via Acceptance-Rejection Method and Augmented MDPs.
CoRR
Wei Hung, Shao-Hua Sun, Ping-Chun Hsieh
2025 J jnl
Game-Time: Evaluating Temporal Dynamics in Spoken Language Models.
CoRR
Kai-Wei Chang, En-Pei Hu, Chun-Yi Kuan, Wenze Ren, Wei-Chih Chen, Guan-Ting Lin, Yu Tsao, Shao-Hua Sun, Hung-yi Lee, James Glass
2025 A* conf
HERO: Human-Feedback Efficient Reinforcement Learning for Online Diffusion Model Finetuning.
ICLR
Ayano Hiranaka, Shang-Fu Chen, Chieh-Hsin Lai, Dongjun Kim, Naoki Murata, Takashi Shibuya, Wei-Hsiang Liao, Shao-Hua Sun, Yuki Mitsufuji
2025 J jnl
Implicit State Estimation via Video Replanning.
CoRR
Po-Chen Ko, Jiayuan Mao, Yu-Hsiang Fu, Hsien-Jeng Yeh, Chu-Rong Chen, Wei-Chiu Ma, Yilun Du, Shao-Hua Sun
2025 J jnl
Learning Skills from Action-Free Videos.
CoRR
Hung-Chieh Fang, Kuo-Han Hung, Chu-Rong Chen, Po-Jung Chou, Chun-Kai Yang, Po-Chen Ko, Yu-Chiang Wang, Yueh-Hua Wu, Min-Hung Chen, Shao-Hua Sun
2025 J jnl
MedFuse: Multiplicative Embedding Fusion For Irregular Clinical Time Series.
CoRR
Yi-Hsien Hsieh, Ta-Jung Chien, Chun-Kai Huang, Shao-Hua Sun, Che Lin
2025 A* conf
QMP: Q-switch Mixture of Policies for Multi-Task Behavior Sharing.
ICLR
Grace Zhang, Ayush Jain, Injune Hwang, Shao-Hua Sun, Joseph J. Lim
2025 J jnl
Restoring Noisy Demonstration for Imitation Learning With Diffusion Models.
CoRR
Shang-Fu Chen, Co Yong, Shao-Hua Sun
2025 J jnl
Rethinking Creativity Evaluation: A Critical Analysis of Existing Creativity Evaluations.
CoRR
Li-Chun Lu, Miri Liu, Pin-Chun Lu, Yufei Tian, Shao-Hua Sun, Nanyun Peng
2025 J jnl
SAD-Flower: Flow Matching for Safe, Admissible, and Dynamically Consistent Planning.
CoRR
Tzu-Yuan Huang, Armin Lederer, Dai-Jie Wu, Xiaobing Dai, Sihua Zhang, Stefan Sosnowski, Shao-Hua Sun, Sandra Hirche
2025 A conf
SimTube: Simulating Audience Feedback on Videos using Generative AI and User Personas.
IUI
Yukai Hung, Yun-Chien Huang, Ting-Yu Su, Yen-Ting Lin, Lung-Pan Cheng, Bryan Wang, Shao-Hua Sun
2025 A* conf
Synthesizing Programmatic Reinforcement Learning Policies with Large Language Model Guided Search.
ICLR
Max Liu, Chan-Hung Yu, Wei-Hsu Lee, Cheng-Wei Hung, Yen-Chun Chen, Shao-Hua Sun
2024 A* conf
Diffusion Imitation from Observation.
NeurIPS
Bo-Ruei Huang, Chun-Kai Yang, Chun-Mao Lai, Dai-Jie Wu, Shao-Hua Sun
2024 J jnl
Diffusion Imitation from Observation.
CoRR
Bo-Ruei Huang, Chun-Kai Yang, Chun-Mao Lai, Dai-Jie Wu, Shao-Hua Sun
2024 A* conf
Diffusion Model-Augmented Behavioral Cloning.
ICML
Shang-Fu Chen, Hsiang-Chun Wang, Ming-Hao Hsu, Chun-Mao Lai, Shao-Hua Sun
2024 A* conf
Diffusion-Reward Adversarial Imitation Learning.
NeurIPS
Chun-Mao Lai, Hsiang-Chun Wang, Ping-Chun Hsieh, Yu-Chiang Frank Wang, Min-Hung Chen, Shao-Hua Sun
2024 J jnl
Diffusion-Reward Adversarial Imitation Learning.
CoRR
Chun-Mao Lai, Hsiang-Chun Wang, Ping-Chun Hsieh, Yu-Chiang Frank Wang, Min-Hung Chen, Shao-Hua Sun
2024 A* conf
Hierarchical Programmatic Option Framework.
NeurIPS
Yu-An Lin, Chen-Tao Lee, Chih-Han Yang, Guan-Ting Liu, Shao-Hua Sun
2024 J jnl
Human-Feedback Efficient Reinforcement Learning for Online Diffusion Model Finetuning.
CoRR
Ayano Hiranaka, Shang-Fu Chen, Chieh-Hsin Lai, Dongjun Kim, Naoki Murata, Takashi Shibuya, Wei-Hsiang Liao, Shao-Hua Sun, Yuki Mitsufuji
2024 A* conf
Integrating Planning and Deep Reinforcement Learning via Automatic Induction of Task Substructures.
ICLR
Jung-Chun Liu, Chi-Hsien Chang, Shao-Hua Sun, Tian-Li Yu
2024 J jnl
LLM Discussion: Enhancing the Creativity of Large Language Models via Discussion Framework and Role-Play.
CoRR
Li-Chun Lu, Shou-Jen Chen, Tsung-Min Pai, Chan-Hung Yu, Hung-yi Lee, Shao-Hua Sun
2024 A* conf
Learning to Act from Actionless Videos through Dense Correspondences.
ICLR
Po-Chen Ko, Jiayuan Mao, Yilun Du, Shao-Hua Sun, Joshua B. Tenenbaum
2024 A* conf
REBORN: Reinforcement-Learned Boundary Segmentation with Iterative Training for Unsupervised ASR.
NeurIPS
Liang-Hsuan Tseng, En-Pei Hu, Cheng-Han Chiang, Yuan Tseng, Hung-yi Lee, Lin-Shan Lee, Shao-Hua Sun
2024 J jnl
REBORN: Reinforcement-Learned Boundary Segmentation with Iterative Training for Unsupervised ASR.
CoRR
Liang-Hsuan Tseng, En-Pei Hu, David Cheng-Han Chiang, Yuan Tseng, Hung-yi Lee, Lin-Shan Lee, Shao-Hua Sun
2024 J jnl
Scalable Numerical Embeddings for Multivariate Time Series: Enhancing Healthcare Data Representation Learning.
CoRR
Chun-Kai Huang, Yi-Hsien Hsieh, Ta-Jung Chien, Li-Cheng Chien, Shao-Hua Sun, Tung-Hung Su, Jia-Horng Kao, Che Lin
2024 J jnl
SimTube: Generating Simulated Video Comments through Multimodal AI and User Personas.
CoRR
Yukai Hung, Yun-Chien Huang, Ting-Yu Su, Yen-Ting Lin, Lung-Pan Cheng, Bryan Wang, Shao-Hua Sun
2024 J jnl
Synthesizing Programmatic Reinforcement Learning Policies with Large Language Model Guided Search.
CoRR
Max Liu, Chan-Hung Yu, Wei-Hsu Lee, Cheng-Wei Hung, Yen-Chun Chen, Shao-Hua Sun
2023 J jnl
Addressing Long-Horizon Tasks by Integrating Program Synthesis and State Machines.
CoRR
Yu-An Lin, Chen-Tao Lee, Guan-Ting Liu, Pu-Jen Cheng, Shao-Hua Sun
2023 Misc conf
Bootstrap Your Own Skills: Learning to Solve New Tasks with Large Language Model Guidance.
CoRL
Jesse Zhang, Jiahui Zhang, Karl Pertsch, Ziyi Liu, Xiang Ren, Minsuk Chang, Shao-Hua Sun, Joseph J. Lim
2023 J jnl
Bootstrap Your Own Skills: Learning to Solve New Tasks with Large Language Model Guidance.
CoRR
Jesse Zhang, Jiahui Zhang, Karl Pertsch, Ziyi Liu, Xiang Ren, Minsuk Chang, Shao-Hua Sun, Joseph J. Lim
2023 J jnl
Diffusion Model-Augmented Behavioral Cloning.
CoRR
Hsiang-Chun Wang, Shang-Fu Chen, Shao-Hua Sun
2023 J jnl
Efficient Multi-Task Reinforcement Learning via Selective Behavior Sharing.
CoRR
Grace Zhang, Ayush Jain, Injune Hwang, Shao-Hua Sun, Joseph J. Lim
2023 J jnl
Hierarchical Neural Program Synthesis.
CoRR
Linghan Zhong, Ryan Lindeborg, Jesse Zhang, Joseph J. Lim, Shao-Hua Sun
2023 A* conf
Hierarchical Programmatic Reinforcement Learning via Learning to Compose Programs.
ICML
Guan-Ting Liu, En-Pei Hu, Pu-Jen Cheng, Hung-yi Lee, Shao-Hua Sun
2023 J jnl
Hierarchical Programmatic Reinforcement Learning via Learning to Compose Programs.
CoRR
Guan-Ting Liu, En-Pei Hu, Pu-Jen Cheng, Hung-yi Lee, Shao-Hua Sun
2023 J jnl
Learning to Act from Actionless Videos through Dense Correspondences.
CoRR
Po-Chen Ko, Jiayuan Mao, Yilun Du, Shao-Hua Sun, Joshua B. Tenenbaum
2023 A* conf
Location-Aware Visual Question Generation with Lightweight Models.
EMNLP
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
2023 J jnl
Location-Aware Visual Question Generation with Lightweight Models.
CoRR
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
2022 A* conf
Skill-based Meta-Reinforcement Learning.
ICLR
Taewook Nam, Shao-Hua Sun, Karl Pertsch, Sung Ju Hwang, Joseph J. Lim
2022 J jnl
Skill-based Meta-Reinforcement Learning.
CoRR
Taewook Nam, Shao-Hua Sun, Karl Pertsch, Sung Ju Hwang, Joseph J. Lim
2021 A* conf
Generalizable Imitation Learning from Observation via Inferring Goal Proximity.
NeurIPS
Youngwoon Lee, Andrew Szot, Shao-Hua Sun, Joseph J. Lim
2021 A* conf
Learning to Synthesize Programs as Interpretable and Generalizable Policies.
NeurIPS
Dweep Trivedi, Jesse Zhang, Shao-Hua Sun, Joseph J. Lim
2021 J jnl
Learning to Synthesize Programs as Interpretable and Generalizable Policies.
CoRR
Dweep Trivedi, Jesse Zhang, Shao-Hua Sun, Joseph J. Lim
2020 A* conf
Program Guided Agent.
ICLR
Shao-Hua Sun, Te-Lin Wu, Joseph J. Lim
2019 — conf
Composing Complex Skills by Learning Transition Policies.
ICLR (Poster)
Youngwoon Lee, Shao-Hua Sun, Sriram Somasundaram, Edward S. Hu, Joseph J. Lim
2019 A* conf
Feedback Adversarial Learning: Spatial Feedback for Improving Generative Adversarial Networks.
CVPR
Minyoung Huh, Shao-Hua Sun, Ning Zhang
2019 A* conf
Multimodal Model-Agnostic Meta-Learning via Task-Aware Modulation.
NeurIPS
Risto Vuorio, Shao-Hua Sun, Hexiang Hu, Joseph J. Lim
2019 J jnl
Multimodal Model-Agnostic Meta-Learning via Task-Aware Modulation.
CoRR
Risto Vuorio, Shao-Hua Sun, Hexiang Hu, Joseph J. Lim
2018 — conf
Multi-view to Novel View: Synthesizing Novel Views With Self-learned Confidence.
ECCV (3)
Shao-Hua Sun, Minyoung Huh, Yuan-Hong Liao, Ning Zhang, Joseph J. Lim
2018 A* conf
Neural Program Synthesis from Diverse Demonstration Videos.
ICML
Shao-Hua Sun, Hyeonwoo Noh, Sriram Somasundaram, Joseph J. Lim
2018 J jnl
Toward Multimodal Model-Agnostic Meta-Learning.
CoRR
Risto Vuorio, Shao-Hua Sun, Hexiang Hu, Joseph J. Lim
2015 J jnl
Undergraduate Students Compete in the IEEE Signal Processing Cup: Part 2 [sp Education].
IEEE Signal Process. Mag.
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
2014 B conf
Exploiting image structural similarity for single image rain removal.
ICIP
Shao-Hua Sun, Shang-Pu Fan, Yu-Chiang Frank Wang
2011 J jnl
Studies of the working characters of the aerial vehicle's safety control system.
Int. J. Model. Identif. Control.
Ya-Ling Shang, Ming Lu, Shao-Hua Sun