Yuchun Miao

Orcid: 0000-0001-5689-8698

According to our database1, Yuchun Miao authored at least 13 papers between 2022 and 2026.

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

2026
When to Stop Reusing: Dynamic Gradient Gating for Sample-Efficient RLVR.
CoRR, May, 2026

Skill1: Unified Evolution of Skill-Augmented Agents via Reinforcement Learning.
CoRR, May, 2026

2025
Information-Theoretic Reward Modeling for Stable RLHF: Detecting and Mitigating Reward Hacking.
CoRR, October, 2025

HyperSIGMA: Hyperspectral Intelligence Comprehension Foundation Model.
IEEE Trans. Pattern Anal. Mach. Intell., August, 2025

PHDMamba: Progressive Hybrid Mamba for Hyperspectral Image Classification.
IEEE Geosci. Remote. Sens. Lett., 2025

The Energy Loss Phenomenon in RLHF: A New Perspective on Mitigating Reward Hacking.
Proceedings of the Forty-second International Conference on Machine Learning, 2025

AMIA: Automatic Masking and Joint Intention Analysis Makes LVLMs Robust Jailbreak Defenders.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

2024
Mitigating Reward Hacking via Information-Theoretic Reward Modeling.
CoRR, 2024

InfoRM: Mitigating Reward Hacking in RLHF via Information-Theoretic Reward Modeling.
Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

2023
DDS2M: Self-Supervised Denoising Diffusion Spatio-Spectral Model for Hyperspectral Image Restoration.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Uncertainty-Aware Unsupervised Image Deblurring with Deep Residual Prior.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Uncertainty-Aware Unsupervised Image Deblurring with Deep Priors Guided by Domain Knowledge.
CoRR, 2022

NTIRE 2022 Challenge on Efficient Super-Resolution: Methods and Results.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022


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