Publications

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

2024

  1. arXiv
    MagicDriveDiT: High-Resolution Long Video Generation for Autonomous Driving with Adaptive Control
    Ruiyuan Gao,  Kai Chen,  Bo Xiao, Lanqing Hong, Zhenguo Li, and Qiang Xu
    arXiv preprint arXiv:2411.13807 2024
    arXiv PDF Web GitHub Repo stars
  2. arXiv
    MagicDrive3D: Controllable 3D Generation for Any-View Rendering in Street Scenes
    Ruiyuan Gao,  Kai Chen,  Zhihao Li, Lanqing Hong, Zhenguo Li, and Qiang Xu
    arXiv preprint arXiv:2405.14475 2024
    arXiv PDF Web GitHub Repo stars
  3. 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
    arXiv PDF
  4. CVPR
    MMA-Diffusion: MultiModal Attack on Diffusion Models
    Yijun Yang,  Ruiyuan 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
    arXiv PDF GitHub Repo stars
  5. 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
    arXiv Poster Web PR VIDEO (中文) GitHub Repo stars

2023

  1. 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
    arXiv PDF Poster GitHub Repo stars

2022

  1. ECCV
    Out-of-Distribution Detection with Semantic Mismatch Under Masking
    Yijun Yang,  Ruiyuan Gao,  and Qiang Xu
    In European Conference on Computer Vision (ECCV) 2022
    arXiv PDF Code
  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
    arXiv PDF GitHub Repo stars
  3. NDSS
    What You See is Not What the Network Infers: Detecting Adversarial Examples Based on Semantic Contradiction
    Yijun Yang,  Ruiyuan Gao,  Yu Li,  Qiuxia Lai, and Qiang Xu
    In Network and Distributed System Security Symposium (NDSS) 2022
    arXiv PDF Code
  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
    PDF

2021

  1. arXiv
    MixDefense: A Defense-in-Depth Framework for Adversarial Example Detection Based on Statistical and Semantic Analysis
    Yijun Yang,  Ruiyuan Gao,  Yu Li,  Qiuxia Lai, and Qiang Xu
    arXiv preprint arXiv:2104.10076 2021
    arXiv PDF
  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
    arXiv PDF
  3. CCGrid
    PriPro: Towards Effective Privacy Protection on Edge-Cloud System running DNN Inference
    Ruiyuan Gao,  Hailong 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
    HTML
  4. TCYB
    ModuleNet: Knowledge-Inherited Neural Architecture Search.
    Yaran Chen*, Ruiyuan Gao*,  Fenggang Liu, and Dongbin Zhao
    IEEE transactions on cybernetics 2021
    HTML

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
    HTML

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
    arXiv PDF