publications

2026

  1. ICML
    Stable Velocity: A Variance Perspective on Flow Matching
    Donglin Yang, Yongxing Zhang, Xin Yu, Liang Hou, Xin Tao, Pengfei Wan, Xiaojuan Qi, and Renjie Liao
    In International Conference on Machine Learning, 2026
  2. CVPR
    VMonarch: Efficient Video Diffusion Transformers with Structured Attention
    Cheng Liang, Haoxian Chen, Liang Hou, Qi Fan, Gangshan Wu, Xin Tao, and Limin Wang
    In IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2026
  3. CVPR
    Video-as-Answer: Predict and Generate Next Video Event with Joint-GRPO
    Junhao Cheng, Liang Hou, Xin Tao, and Jing Liao
    In IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2026
  4. CVPR
    RectifiedHR: Enable Efficient High-Resolution Synthesis via Energy Rectification
    Zhen Yang, Guibao Shen, Liang Hou, Mushui Liu, Luozhou Wang, Xin Tao, Pengfei Wan, Di Zhang, and Ying-Cong Chen
    In IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2026
  5. ICLR
    VMoBA: Mixture-of-Block Attention for Video Diffusion Models
    Jianzong Wu, Liang Hou, Haotian Yang, Xin Tao, Ye Tian, Pengfei Wan, Di Zhang, and Yunhai Tong
    In International Conference on Learning Representations, 2026
  6. AAAI
    Boosting Resolution Generalization of Diffusion Transformers with Randomized Positional Encodings
    Liang Hou, Cong Liu, Mingwu Zheng, Xin Tao, Pengfei Wan, Di Zhang, and Kun Gai
    In AAAI Conference on Artificial Intelligence, 2026

2024

  1. SIGGRAPH
    Direct-a-Video: Customized Video Generation with User-Directed Camera Movement and Object Motion
    Shiyuan Yang, Liang Hou, Haibin Huang, Chongyang Ma, Pengfei Wan, Di Zhang, Xiaodong Chen, and Jing Liao
    In ACM SIGGRAPH Conference Papers, 2024
  2. SIGGRAPH
    I2V-Adapter: A General Image-to-Video Adapter for Diffusion Models
    Xun Guo, Mingwu Zheng, Liang Hou, Yuan Gao, Yufan Deng, Pengfei Wan, Di Zhang, Yufan Liu, Weiming Hu, Zhengjun Zha, Haibin Huang, and Chongyang Ma
    In ACM SIGGRAPH Conference Papers, 2024
  3. CVPR
    TEA: Test-time Energy Adaptation
    Yige Yuan, Bingbing Xu, Liang Hou, Fei Sun, Huawei Shen, and Xueqi Cheng
    In IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

  1. NeurIPS
    Augmentation-Aware Self-Supervision for Data-Efficient GAN Training
    Liang Hou, Qi Cao, Yige Yuan, Songtao Zhao, Chongyang Ma, Siyuan Pan, Pengfei Wan, Zhongyuan Wang, Huawei Shen, and Xueqi Cheng
    In Advances in Neural Information Processing Systems, 2023

2022

  1. ICML
    Conditional GANs with Auxiliary Discriminative Classifier
    Liang Hou, Qi Cao, Huawei Shen, Siyuan Pan, Xiaoshuang Li, and Xueqi Cheng
    In International Conference on Machine Learning, 2022

2021

  1. NeurIPS
    Self-Supervised GANs with Label Augmentation
    Liang Hou, Huawei Shen, Qi Cao, and Xueqi Cheng
    In Advances in Neural Information Processing Systems, 2021