Publications

publications by categories in reversed chronological order. (*) denotes equal contribution.

2024

  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 YeungQiang 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

2023

  1. arXiv
    Non-Cross Diffusion for Semantic Consistency
    Ziyang Zheng*, Ruiyuan Gao*,  and Qiang Xu
    arXiv preprint arXiv:2312.00820 2023
  2. 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

2022

  1. ECCV
    Out-of-Distribution Detection with Semantic Mismatch Under Masking
    Yijun YangRuiyuan Gao,  and Qiang Xu
    In European Conference on Computer Vision (ECCV) 2022
  2. ECCV
    Deciwatch: A simple baseline for 10\times efficient 2d and 3d pose estimation
    Ailing Zeng,  Xuan Ju, Lei Yang, Ruiyuan Gao,  Xizhou Zhu, Bo Dai, and Qiang Xu
    In European Conference on Computer Vision (ECCV) 2022
  3. 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
  4. ICLR
    T-WaveNet: A Tree-Structured Wavelet Neural Network for Time Series Signal Analysis
    Minhao Liu, Ailing Zeng,  Qiuxia Lai, Ruiyuan Gao,  Min Li, Jing Qin, and Qiang Xu
    In International Conference on Learning Representations (ICLR) 2022

2021

  1. arXiv
    MixDefense: A Defense-in-Depth Framework for Adversarial Example Detection Based on Statistical and Semantic Analysis
    Yijun YangRuiyuan GaoYu Li,  Qiuxia Lai, and Qiang Xu
    arXiv preprint arXiv:2104.10076 2021
  2. arXiv
    Hop-Aware Dimension Optimization for Graph Neural Networks
    Ailing Zeng,  Minhao Liu, Zhiwei Liu, Ruiyuan Gao,  and Qiang Xu
    arXiv preprint arXiv:2105.14490 2021
  3. 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
  4. TCYB
    ModuleNet: Knowledge-Inherited Neural Architecture Search.
    Yaran Chen*, Ruiyuan Gao*,  Fenggang Liu, and Dongbin Zhao
    IEEE transactions on cybernetics 2021

2020

  1. TNNLS
    Boost 3-D Object Detection via Point Clouds Segmentation and Fused 3-D GIoU-L_1 Loss
    Yaran Chen, Haoran Li, Ruiyuan Gao,  and Dongbin Zhao
    IEEE Transactions on Neural Networks and Learning Systems 2020

2019

  1. arXiv
    Privacy for Rescue: A New Testimony Why Privacy is Vulnerable In Deep Models
    Ruiyuan Gao,  Ming Dun, Hailong Yang,  Zhongzhi Luan, and Depei Qian
    arXiv preprint arXiv:2001.00493 2019