Kaicheng Yu

Tenure Track Assistant Professor, Autonomous Intelligence Lab, Westlake University


Autonomous Intelligence Lab

Westlake University

Hangzhou, China

We are hiring at all levels!

Current openings:

  • PhD Student (joint program with Zhejiang University), starting from Fall 2024.
  • 3-6 months algorithm engineer internship towards realistic challenges in autonomous driving scenarios
  • PostDoc

Please shoot an email with your resume to me if you are interested!

Short Bio

Dr. Kaicheng Yu’s research interests cover broader areas of computer vision, machine learning, and artificial intelligence, with special emphasis on building intelligent visual systems. He receives Westlake Star Award (Young Talent Program) in 2022, and Qualcomm Innovation Fellowship Europe in 2019, and has been recognized as an outstanding reviewer at ECCV2020 and CVPR2021. He publishes on top conference venues like CVPR, ICCV, ECCV, ICML, ICLR, and NeurIPS, and journals like TPAMI.

His ultimate research goal is to build a system that incorporates automatic machine learning to evolve with a human-in-the-loop feedback to achieve generic 3D perception across multi-modalities for robotic vision systems. Specifically, his works include:

  • Towards robust 3D perception in autonomous driving scenarios in Bird’s Eye View fashion and cross-modality 3D generation;
  • Cross modalities of 3D data generation in the wild, including camera and LiDAR sensors;
  • Automatically improves the performance of neural architectures, including neural architecture search, active learning, and lifelong learning.

Academic Services

  • Conference reviewer: CVPR, ICCV, ECCV, BMVC, ICML, ICLR, NeurIPS
  • Journal reviewer: IJCV, TPAMI, TIP, ACM-MM


Aug 1, 2023 I officially left Alibaba and joined Westlake University as a tenure tracked assistant professor.
Jun 18, 2023 I am invited to give a talk at UBC, titled ‘Reducing human efforts in visual perception’.
Apr 23, 2023 I am invited to give a talk on China3DV about our recent progress on robust 3D detection
Mar 28, 2023 My personal web page is online, this site will be heavily adapted for a while!
Aug 7, 2021 I obtained my PhD diploma from EPFL.

selected publications

  1. Statistically-motivated Second-order Pooling
    Kaicheng Yu, and Mathieu Salzmann
    In European Conference on Computer Vision,, 2018
  2. An Analysis of Super-Net Heuristics in Weight-Sharing NAS
    Kaicheng Yu, Rene Ranftl, and Mathieu Salzmann
    IEEE Transactions on Pattern Analysis and Machine Intelligence,, 2023
  3. Evaluating the Search Phase of Neural Architecture Search
    Kaicheng Yu, Christian Sciuto, Martin Jaggi, and 2 more authors
    In International Conference on Learning Representations,, Nov 2020
  4. Landmark Regularization: Ranking Guided Super-Net Training in Neural Architecture Search
    Kaicheng Yu, Rene Ranftl, and Mathieu Salzmann
    In IEEE Conference of Computer Vision and Pattern Recognition,, Apr 2021
  5. BEVFusion: A Simple and Robust LiDAR-Camera Fusion Framework
    Tingting Liang, Hongwei Xie, Kaicheng Yu, and 6 more authors
    In Annual Conference on Neural Information Processing Systems,, Nov 2022
  6. Benchmarking the Robustness of LiDAR-Camera Fusion for 3D Object Detection
    Kaicheng Yu, Tang Tao, Hongwei Xie, and 10 more authors
    In IEEE Conference on Computer Vision and Pattern Recognition Workshops,, May 2023