Yuchun Miao

According to our database, Yuchun Miao authored at least 11 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Information-Theoretic Reward Modeling for Stable RLHF: Detecting and Mitigating Reward Hacking.

Yuchun Miao, Liang Ding, Sen Zhang, Rong Bao, Lefei Zhang, Dacheng Tao

CoRR, October, 2025

HyperSIGMA: Hyperspectral Intelligence Comprehension Foundation Model.

Di Wang, Meiqi Hu, Yao Jin, Yuchun Miao, Jiaqi Yang, Yichu Xu, Xiaolei Qin, Jiaqi Ma, Lingyu Sun, Chenxing Li, Chuan Fu, Hongruixuan Chen, Chengxi Han, Naoto Yokoya, Jing Zhang, Minqiang Xu, Lin Liu, Lefei Zhang, Chen Wu, Bo Du, Dacheng Tao, Liangpei Zhang

IEEE Trans. Pattern Anal. Mach. Intell., August, 2025

AMIA: Automatic Masking and Joint Intention Analysis Makes LVLMs Robust Jailbreak Defenders.

Yuqi Zhang, Yuchun Miao, Zuchao Li, Liang Ding

CoRR, May, 2025

The Energy Loss Phenomenon in RLHF: A New Perspective on Mitigating Reward Hacking.

Yuchun Miao, Sen Zhang, Liang Ding, Yuqi Zhang, Lefei Zhang, Dacheng Tao

CoRR, January, 2025

PHDMamba: Progressive Hybrid Mamba for Hyperspectral Image Classification.

Yichu Xu, Chengxi Han, Shi Chen, Yao Jin, Yuchun Miao, Haonan Guo, Di Wang

IEEE Geosci. Remote. Sens. Lett., 2025

2024

Mitigating Reward Hacking via Information-Theoretic Reward Modeling.

Yuchun Miao, Sen Zhang, Liang Ding, Rong Bao, Lefei Zhang, Dacheng Tao

CoRR, 2024

InfoRM: Mitigating Reward Hacking in RLHF via Information-Theoretic Reward Modeling.

Yuchun Miao, Sen Zhang, Liang Ding, Rong Bao, Lefei Zhang, Dacheng Tao

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

2023

DDS2M: Self-Supervised Denoising Diffusion Spatio-Spectral Model for Hyperspectral Image Restoration.

Yuchun Miao, Lefei Zhang, Liangpei Zhang, Dacheng Tao

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Uncertainty-Aware Unsupervised Image Deblurring with Deep Residual Prior.

Xiaole Tang, Xile Zhao, Jun Liu, Jianli Wang, Yuchun Miao, Tieyong Zeng

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.

Xiaole Tang, Xile Zhao, Jun Liu, Jian-Li Wang, Yuchun Miao, Tieyong Zeng

CoRR, 2022

NTIRE 2022 Challenge on Efficient Super-Resolution: Methods and Results.

Yawei Li, Kai Zhang, Radu Timofte, Luc Van Gool, Fangyuan Kong, Mingxi Li, Songwei Liu, Zongcai Du, Ding Liu, Chenhui Zhou, Jingyi Chen, Qingrui Han, Zheyuan Li, Yingqi Liu, Xiangyu Chen, Haoming Cai, Yu Qiao, Chao Dong, Long Sun, Jinshan Pan, Yi Zhu, Zhikai Zong, Xiaoxiao Liu, Zheng Hui, Tao Yang, Peiran Ren, Xuansong Xie, Xian-Sheng Hua, Yanbo Wang, Xiaozhong Ji, Chuming Lin, Donghao Luo, Ying Tai, Chengjie Wang, Zhizhong Zhang, Yuan Xie, Shen Cheng, Ziwei Luo, Lei Yu, Zhihong Wen, Qi Wu, Youwei Li, Haoqiang Fan, Jian Sun, Shuaicheng Liu, Yuanfei Huang, Meiguang Jin, Hua Huang, Jing Liu, Xinjian Zhang, Yan Wang, Lingshun Long, Gen Li, Yuanfan Zhang, Zuowei Cao, Lei Sun, Panaetov Alexander, Yucong Wang, Minjie Cai, Li Wang, Lu Tian, Zheyuan Wang, Hongbing Ma, Jie Liu, Chao Chen, Yidong Cai, Jie Tang, Gangshan Wu, Weiran Wang, Shirui Huang, Honglei Lu, Huan Liu, Keyan Wang, Jun Chen, Shi Chen, Yuchun Miao, Zimo Huang, Lefei Zhang, Mustafa Ayazoglu, Wei Xiong, Chengyi Xiong, Fei Wang, Hao Li, Ruimian Wen, Zhijing Yang, Wenbin Zou, Weixin Zheng, Tian Ye, Yuncheng Zhang, Xiangzhen Kong, Aditya Arora, Syed Waqas Zamir, Salman H. Khan, Munawar Hayat, Fahad Shahbaz Khan, Dandan Gao, Dengwen Zhou, Qian Ning, Jingzhu Tang, Han Huang, Yufei Wang, Zhangheng Peng, Haobo Li, Wenxue Guan, Shenghua Gong, Xin Li, Jun Liu, Wanjun Wang, Kun Zeng, Hanjiang Lin, Xinyu Chen, Jinsheng Fang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022