About Me

I am a PhD student at UT Austin, advised by Prof. Kristen Grauman and Prof. Alex Dimakis. My research lies in Machine Learning and Computer Vision, specifically in the following topics:

• First-person "egocentric" computer vision.
• Designing new architectures for real-world machine learning system.
• Learning generalized and transferrable representations (Self-supervised Learning & Life-long Learning).
• Learning with heterogenous/imbalanced data.
• Model inversion and gradient leakage.

Publications

• MetaFormer Baselines for Vision
  Weihao Yu, Chenyang Si, Pan Zhou, Mi Luo, Yichen Zhou, Jiashi Feng, Shuicheng Yan & Xinchao Wang.
  Technical Report, 2022.
  [PDF][Code]

• MetaFormer is Actually What You Need for Vision
  Weihao Yu, Mi Luo, Pan Zhou, Chenyang Si, Yichen Zhou, Xinchao Wang, Jiashi Feng & Shuicheng Yan.
  In IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2022. (Oral)
  [PDF][Code]
  

• Architecture Personalization in Resource-constrained Federated Learning
  Mi Luo, Fei Chen, Zhenguo Li & Jiashi Feng.
  In NFFL Workshop, NeurIPS 2021. (Selected as outstanding paper, acceptance rate: 9%)
  [PDF]
  

• No Fear of Heterogeneity: Classifier Calibration for Federated Learning with Non-IID Data
  Mi Luo, Fei Chen, Dapeng Hu, Yifan Zhang, Jian Liang & Jiashi Feng.
  In Advances in Neural Information Processing Systems, NeurIPS 2021.
  [PDF]
  

• MetaSelector: Meta-Learning for Recommendation with User-Level Adaptive Model Selection
  Mi Luo, Fei Chen, Pengxiang Cheng, Zhenhua Dong, Xiuqiang He, Jiashi Feng & Zhenguo Li.
  In Proceedings of The Web Conference, WWW 2020.
  [PDF] [Oral Presentation]

• Federated Meta-Learning with Fast Convergence and Efficient Communication
  Fei Chen, Mi Luo, Zhenhua Dong, Zhenguo Li & Xiuqiang He.
  Technical Report, 2019.
  [Arxiv Preprint]

Research Experiences

• Singapore, Sep 2021 - Apr 2022

  SEA AI Lab (SAIL)
  Research Intern, Advisor: Dr. Pan Zhou, Prof. Shuicheng Yan.

• Hong Kong, Jul 2019 - Oct 2019

  Huawei Noah’s Ark Lab
  Research Intern, Advisor: Dr. Fei Chen, Dr. Zhenguo Li.

Professional Service

• Conference Reviewer: AISTATS, ECCV, CVPR.
  
• Teaching Assistant: EE2211 (Introduction to Machine Learning), CG3207 (Computer Architecture).