Publications

arxiv

  1. arXiv
    InstaFlow: One Step is Enough for High-Quality Diffusion-Based Text-to-Image Generation
    Xingchao Liu, Xiwen Zhang, Jianzhu Ma, Jian Peng, and Qiang Liu
    2023
    arXiv Website

Conference Articles

  1. NeurIPS 2023
    DISCS: A Benchmark for Discrete Sampling
    Katayoon Goshvadi, Haoran Sun, Xingchao Liu, Azade Nova, Ruqi Zhang, Will Grathwohl, Dale Schuurmans, and Hanjun Dai
    In Advances in Neural Information Processing Systems, Datasets and Benchmarks Track, 2023
    Code
  2. CVPR 2023
    FlowGrad: Controlling the Output of Generative ODEs with Gradients
    Xingchao Liu, Lemeng Wu, Shujian Zhang, Chengyue Gong, Wei Ping, and Qiang Liu
    In Computer Vision and Pattern Recognition, 2023
    PDF Code
  3. CVPR 2023
    Fast Point Cloud Generation with Straight Flows
    Lemeng Wu, Dilin Wang, Chengyue Gong, Xingchao Liu, Yunyang Xiong, Rakesh Ranjan, Raghuraman Krishnamoorthi, Vikas Chandra, and Qiang Liu
    In Computer Vision and Pattern Recognition, 2023
    arXiv PDF Code
  4. ICLR 2023Notable 25%
    Flow straight and fast: Learning to generate and transfer data with rectified flow
    Xingchao Liu*, Chengyue Gong*, and Qiang Liu
    In International Conference on Learning Representations, 2023
    PDF Blog Code Slides
  5. ICLR 2023Notable 25%
    Learning Diffusion Bridges on Constrained Domains
    Xingchao Liu, Lemeng Wu, Mao Ye, and Qiang Liu
    In International Conference on Learning Representations, 2023
    PDF Code
  6. NeurIPS 2022
    Diffusion-based Molecule Generation with Informative Prior Bridges
    Lemeng Wu, Chengyue Gong, Xingchao Liu, Mao Ye, and Qiang Liu
    In Advances in Neural Information Processing Systems, 2022
    PDF
  7. ICML 2022
    A Langevin-like sampler for discrete distributions
    Ruqi Zhang, Xingchao Liu, and Qiang Liu
    In International Conference on Machine Learning, 2022
    PDF Code
  8. NeurIPS 2021
    Conflict-averse gradient descent for multi-task learning
    Bo Liu, Xingchao Liu, Xiaojie Jin, Peter Stone, and Qiang Liu
    In Advances in Neural Information Processing Systems, 2021
    PDF Code
  9. NeurIPS 2021
    Sampling with trusthworthy constraints: A variational gradient framework
    Xingchao Liu*, Xin Tong*, and Qiang Liu
    In Advances in Neural Information Processing Systems, 2021
    PDF
  10. NeurIPS 2021
    Automatic and harmless regularization with constrained and lexicographic optimization: A dynamic barrier approach
    Chengyue Gong, Xingchao Liu, and Qiang Liu
    In Advances in Neural Information Processing Systems, 2021
    PDF
  11. NeurIPS 2021Spotlight
    Profiling pareto front with multi-objective stein variational gradient descent
    Xingchao Liu, Xin Tong, and Qiang Liu
    In Advances in Neural Information Processing Systems, 2021
    PDF Code
  12. AAAI 2021
    Post-training quantization with multiple points: Mixed precision without mixed precision
    Xingchao Liu, Mao Ye, Dengyong Zhou, and Qiang Liu
    In Proceedings of the AAAI Conference on Artificial Intelligence, 2021
    arXiv
  13. NeurIPS 2020Spotlight
    Certified monotonic neural networks
    Xingchao Liu, Xing Han, Na Zhang, and Qiang Liu
    In Advances in Neural Information Processing Systems, 2020
    PDF Code