I am a research scientist at Waymo. Before that, I received my Ph.D. in Computer Science from Johns Hopkins University, M.S. in Statistics from University of California, Los Angeles, and B.E. in Automation from Tsinghua University. I have also spent time at Facebook, Google, Adobe, Toyota Technological Institute at Chicago, University of Toronto, and Rice University.

My main research focus is automated machine learning for computer vision. Here is my CV and Google Scholar.

News

Publications

  • Scene Transformer: A unified multi-task model for behavior prediction and planning
    Jiquan Ngiam, Benjamin Caine, Vijay Vasudevan, Zhengdong Zhang, Hao-Tien Lewis Chiang, Jeffrey Ling, Rebecca Roelofs, Alex Bewley, Chenxi Liu, Ashish Venugopal, David Weiss, Ben Sapp, Zhifeng Chen, Jonathon Shlens
    arXiv preprint, 2021
    [arXiv]

  • Large Scale Interactive Motion Forecasting for Autonomous Driving : The Waymo Open Motion Dataset
    Scott Ettinger, Shuyang Cheng, Benjamin Caine, Chenxi Liu, Hang Zhao, Sabeek Pradhan, Yuning Chai, Ben Sapp, Charles Qi, Yin Zhou, Zoey Yang, Aurelien Chouard, Pei Sun, Jiquan Ngiam, Vijay Vasudevan, Alexander McCauley, Jonathon Shlens, Dragomir Anguelov
    arXiv preprint, 2021
    [arXiv]

  • Progressive Stage-wise Learning for Unsupervised Feature Representation Enhancement
    Zefan Li, Chenxi Liu, Alan Yuille, Bingbing Ni, Wenjun Zhang, Wen Gao
    In Conference on Computer Vision and Pattern Recognition (CVPR), 2021
    [arXiv]

  • Deep Nets: What have they ever done for Vision?
    Alan Yuille, Chenxi Liu
    International Journal of Computer Vision (IJCV), 2021
    [arXiv] [CBMM] [Blog]

  • Are Labels Necessary for Neural Architecture Search?
    Chenxi Liu, Piotr Dollar, Kaiming He, Ross Girshick, Alan Yuille, Saining Xie
    In European Conference on Computer Vision (ECCV), 2020 Spotlight
    [arXiv] [Paper] [Suppl] [Slides (Short)] [Slides (Long)] [Video (Short)] [Video (Long)] [Code]

  • Identifying Model Weakness with Adversarial Examiner
    Michelle Shu, Chenxi Liu, Weichao Qiu, Alan Yuille
    In AAAI Conference on Artificial Intelligence (AAAI), 2020
    [arXiv] [Paper] [Slides] [Poster]

  • Rethinking Normalization and Elimination Singularity in Neural Networks
    Siyuan Qiao, Huiyu Wang, Chenxi Liu, Wei Shen, Alan Yuille
    arXiv preprint, 2019
    [arXiv] [Code]

  • V-NAS: Neural Architecture Search for Volumetric Medical Image Segmentation
    Zhuotun Zhu, Chenxi Liu, Dong Yang, Alan Yuille, Daguang Xu
    In International Conference on 3D Vision (3DV), 2019
    [arXiv]

  • Weight Standardization
    Siyuan Qiao, Huiyu Wang, Chenxi Liu, Wei Shen, Alan Yuille
    arXiv preprint, 2019
    [arXiv] [Code]

  • Auto-DeepLab: Hierarchical Neural Architecture Search for Semantic Image Segmentation
    Chenxi Liu, Liang-Chieh Chen, Florian Schroff, Hartwig Adam, Wei Hua, Alan Yuille, Li Fei-Fei
    In Conference on Computer Vision and Pattern Recognition (CVPR), 2019 Oral
    [arXiv] [Paper] [Slides] [Poster] [Code]

  • Adversarial Attacks Beyond the Image Space
    Xiaohui Zeng, Chenxi Liu, Yu-Siang Wang, Weichao Qiu, Lingxi Xie, Yu-Wing Tai, Chi Keung Tang, Alan Yuille
    In Conference on Computer Vision and Pattern Recognition (CVPR), 2019 Oral
    [arXiv] [Paper] [Suppl] [Slides] [Poster]

  • CLEVR-Ref+: Diagnosing Visual Reasoning with Referring Expressions
    Runtao Liu, Chenxi Liu, Yutong Bai, Alan Yuille
    In Conference on Computer Vision and Pattern Recognition (CVPR), 2019
    [Project] [arXiv] [Paper] [Suppl] [Poster]

  • Progressive Neural Architecture Search
    Chenxi Liu, Barret Zoph, Maxim Neumann, Jonathon Shlens, Wei Hua, Li-Jia Li, Li Fei-Fei, Alan Yuille, Jonathan Huang, Kevin Murphy
    In European Conference on Computer Vision (ECCV), 2018 Oral
    [arXiv] [Paper] [Suppl] [Slides] [Poster] [Blog] [Code (TF official)] [Code (TF simplified)] [Code (PyTorch)]

  • Few-Shot Image Recognition by Predicting Parameters from Activations
    Siyuan Qiao, Chenxi Liu, Wei Shen, Alan Yuille
    In Conference on Computer Vision and Pattern Recognition (CVPR), 2018 Spotlight
    [arXiv] [Code]

  • Scene Graph Parsing as Dependency Parsing
    Yu-Siang Wang, Chenxi Liu, Xiaohui Zeng, Alan Yuille
    In North American Chapter of the Association for Computational Linguistics (NAACL), 2018 Oral
    [arXiv] [Paper] [Slides] [Video] [Code]

  • Recurrent Multimodal Interaction for Referring Image Segmentation
    Chenxi Liu, Zhe Lin, Xiaohui Shen, Jimei Yang, Xin Lu, Alan Yuille
    In International Conference on Computer Vision (ICCV), 2017
    [arXiv] [Paper] [Suppl] [Poster] [Code]

  • SORT: Second-Order Response Transform for Visual Recognition
    Yan Wang, Lingxi Xie, Chenxi Liu, Siyuan Qiao, Ya Zhang, Wenjun Zhang, Qi Tian, Alan Yuille
    In International Conference on Computer Vision (ICCV), 2017
    [arXiv]

  • ScaleNet: Guiding Object Proposal Generation in Supermarkets and Beyond
    Siyuan Qiao, Wei Shen, Weichao Qiu, Chenxi Liu, Alan Yuille
    In International Conference on Computer Vision (ICCV), 2017
    [arXiv] [Code]

  • Attention Correctness in Neural Image Captioning
    Chenxi Liu, Junhua Mao, Fei Sha, Alan Yuille
    In AAAI Conference on Artificial Intelligence (AAAI), 2017
    [arXiv] [Paper] [Suppl] [Poster] [Code]

  • Rent3D: Floor-Plan Priors for Monocular Layout Estimation
    Chenxi Liu*, Alexander Schwing*, Kaustav Kundu, Raquel Urtasun, Sanja Fidler
    In Conference on Computer Vision and Pattern Recognition (CVPR), 2015 Oral
    [Project] [Paper] [Suppl] [Slides] [Poster] [Video] [Two Minute Papers]