Shao-Hua Sun
26 papers · 2018–2026 · 8 conferences · across top CS/AI conferences
Achievements
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๐ Cross-Pollinator (14) ๐ Academic Marathon (7) ๐ Interdisciplinary Bridge ๐ Conference Polyglot (7) ๐ Renaissance Researcher (6)
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Conference Polyglot
(7)
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Academic Marathon
(7)
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Triple Crown
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Unstoppable
(8)
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Century Club
(23)
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Conference Pioneer
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Prolific Year
(5)
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Keyword Collector
(72)
Conferences
ICLR (8)
NIPS (7)
ICML (4)
EACL (3)
CORL (1)
CVPR (1)
ECCV (1)
EMNLP (1)
Top co-authors
Keywords
program synthesis
(3)
adversarial learning
(3)
reinforcement learning
(3)
imitation learning
(3)
hierarchical reinforcement learning
(2)
reward function
(2)
diffusion model
(2)
program embedding
(2)
few-shot learning
(1)
multimodal learning
(1)
multi-task learning
(1)
policy learning
(1)
deep reinforcement learning
(1)
model merging
(1)
direct preference optimization
(1)
gradient descent
(1)
policy optimization
(1)
model alignment
(1)
reinforcement learning from human feedback
(1)
image-to-image translation
(1)
Papers
BILLY: Steering Large Language Models via Merging Persona Vectors for Creative Generation
EACL 2026
Rethinking Creativity Evaluation: A Critical Analysis of Existing Creativity Evaluations
EACL 2026
Adaptive HelpfulnessโHarmlessness Alignment with Preference Vectors
EACL 2026
HERO: Human-Feedback Efficient Reinforcement Learning for Online Diffusion Model Finetuning
ICLR 2025
Action-Constrained Imitation Learning
ICML 2025
Synthesizing Programmatic Reinforcement Learning Policies with Large Language Model Guided Search
ICLR 2025
Efficient Action-Constrained Reinforcement Learning via Acceptance-Rejection Method and Augmented MDPs
ICLR 2025
QMP: Q-switch Mixture of Policies for Multi-Task Behavior Sharing
ICLR 2025
Integrating Planning and Deep Reinforcement Learning via Automatic Induction of Task Substructures
ICLR 2024
Diffusion-Reward Adversarial Imitation Learning
NIPS 2024
Hierarchical Programmatic Option Framework
NIPS 2024
REBORN: Reinforcement-Learned Boundary Segmentation with Iterative Training for Unsupervised ASR
NIPS 2024
Diffusion Imitation from Observation
NIPS 2024
Learning to Act from Actionless Videos through Dense Correspondences
ICLR 2024
Diffusion Model-Augmented Behavioral Cloning
ICML 2024
Hierarchical Programmatic Reinforcement Learning via Learning to Compose Programs
ICML 2023
Bootstrap Your Own Skills: Learning to Solve New Tasks with Large Language Model Guidance
CORL 2023
Location-Aware Visual Question Generation with Lightweight Models
EMNLP 2023
Skill-based Meta-Reinforcement Learning
ICLR 2022
Learning to Synthesize Programs as Interpretable and Generalizable Policies
NIPS 2021
Generalizable Imitation Learning from Observation via Inferring Goal Proximity
NIPS 2021
Program Guided Agent
ICLR 2020
Feedback Adversarial Learning: Spatial Feedback for Improving Generative Adversarial Networks
CVPR 2019
Multimodal Model-Agnostic Meta-Learning via Task-Aware Modulation
NIPS 2019
Multi-view to Novel view: Synthesizing novel views with Self-Learned Confidence
ECCV 2018
Neural Program Synthesis from Diverse Demonstration Videos
ICML 2018