Gao, Ruiyuan | 高瑞元

Ph.D in CSE of CUHK.

rygao[at]cse.cuhk.edu.hk

CUHK, Sha Tin, N.T.

Hong Kong, China

I am PhD candidate at CURE lab of CUHK. My supervisor is Prof. Qiang XU.

Before joining CUHK, I worked with Prof.Hailong YANG and Prof.Xianglong LIU at Beihang University, Beijing, and received a B.E. degree in computer science and technology from Shenyuan Honors College in 2020.

My current research interests span data generation, including generative models and synthetic data for perception tasks; and trustworthy AI, including adversarial attack/defence and AI privacy.

News

Feb 27, 2024 Two papers are accepted to CVPR 2024!
Jan 16, 2024 MagicDrive is accepted to ICLR 2024!
Jul 14, 2023 One paper, DiffGuard, is accepted to ICCV 2023!
Dec 5, 2022 I join Huawei Noah’s Ark Lab as a Research Intern at Hong Kong, China.
Jul 4, 2022 Two paper MOODCat and DeciWatch is accepted to ECCV 2022!

Selected Publications

(*) denotes equal contribution. See more at full list.
  1. CVPR
    DetDiffusion: Synergizing Generative and Perceptive Models for Enhanced Data Generation and Perception
    Yibo Wang*, Ruiyuan Gao*,  Kai Chen*,  Kaiqiang Zhou, Yingjie Cai, Lanqing Hong, Zhenguo Li, Lihui Jiang, Dit-Yan Yeung, Qiang Xu,  and Kai Zhang
    In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2024
  2. CVPR
    MMA-Diffusion: MultiModal Attack on Diffusion Models
    Yijun YangRuiyuan Gao,  Xiaosen Wang, Tsung-Yi Ho, Nan Xu, and Qiang Xu
    In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2024
  3. ICLR
    MagicDrive: Street View Generation with Diverse 3D Geometry Control
    Ruiyuan Gao*,  Kai Chen*,  Enze Xie,  Lanqing Hong, Zhenguo Li, Dit-Yan Yeung, and Qiang Xu
    In International Conference on Learning Representations (ICLR) 2024
  4. arXiv
    Non-Cross Diffusion for Semantic Consistency
    Ziyang Zheng*, Ruiyuan Gao*,  and Qiang Xu
    arXiv preprint arXiv:2312.00820 2023
  5. ICCV
    DiffGuard: Semantic Mismatch-Guided Out-of-Distribution Detection using Pre-trained Diffusion Models
    Ruiyuan Gao,  Chenchen Zhao, Lanqing Hong, and Qiang Xu
    In Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) 2023
  6. ECCV
    Out-of-Distribution Detection with Semantic Mismatch Under Masking
    Yijun YangRuiyuan Gao,  and Qiang Xu
    In European Conference on Computer Vision (ECCV) 2022
  7. NDSS
    What You See is Not What the Network Infers: Detecting Adversarial Examples Based on Semantic Contradiction
    Yijun YangRuiyuan GaoYu Li,  Qiuxia Lai, and Qiang Xu
    In Network and Distributed System Security Symposium (NDSS) 2022
  8. CCGrid
    PriPro: Towards Effective Privacy Protection on Edge-Cloud System running DNN Inference
    Ruiyuan GaoHailong Yang,  Shaohan Huang, Ming Dun, Mingzhen Li, Zerong Luan, Zhongzhi Luan, and Depei Qian
    In 2021 IEEE/ACM 21st International Symposium on Cluster, Cloud and Internet Computing (CCGrid) 2021
  9. TCYB
    ModuleNet: Knowledge-Inherited Neural Architecture Search.
    Yaran Chen*, Ruiyuan Gao*,  Fenggang Liu, and Dongbin Zhao
    IEEE transactions on cybernetics 2021