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

• 1 paper accepted to ICCV 2021 as oral

• 1 paper accepted to CVPR 2021

• 1 paper accepted to IJCV

• I received the MINDS Doctoral Dissertation Award

• Check out my greatest achievement during quarantine!

• 1 paper accepted to ECCV 2020 as spotlight

Publications

• 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
  In International Conference on Computer Vision (ICCV), 2021 Oral
  [arXiv]

• 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]

• 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]