YUAN, Li (袁粒)

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Tenure-track Assistant Professor

School of Electrical and Computer Engineering (ece.pku.edu.cn),
Shenzhen Graduate School,
Peking University

Official Profile (Chinese)

Email: yuanli-ece@pku.edu.cn

Job Openings

  • Postdoctoral research fellow positions are available.

  • I am recruiting PhD students and Master students in Research (MPhil) to start at 2023 Fall. Several visiting student positions are available.

Education

In NUS, I did research in Learning and Vision lab , fortunately advised by Prof. Jiashi Feng, Prof. Francis EH Tay and Prof. Shuicheng Yan, and I also spend more than half year in Harvard University, fortunately advised by Prof. Margaret Livingstone.

Work Experiences

  • Peking University, School of ECE, Shenzhen Graduate School, Assistant Professor, 2022.01-now

  • YITU Singapore, PhD research intern, work with Dr.Yunpeng Chen and Prof.Shuicheng Yan, 2020.06-2021.01

  • Tencent AI Lab, PhD research intern, work with Dr.Wei Liu and Dr.Zequn Jie, 2018.12-2019.03

Research

My research interests include:

Full list of publications in Google Scholar.

Selected Publications

† corresponding author

VOLO: Vision Outlooker for Visual Recognition
Li Yuan, Qibin Hou, Zihang Jiang, Jiashi Feng, Shuicheng Yan
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022, accept, to be appear.
VOLO is the first model exceeds 87.0% top-1 accuracy on ImageNet without using extra data
[Axriv] [Code]

Vision Permutator: A Permutable MLP-Like Architecture for Visual Recognition
Qibin Hou, Zihang Jiang, Li Yuan, Ming-Ming Cheng, Shuicheng Yan, Jiashi Feng
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022
[Axriv] [Code]

Masked Autoencoders for Point Cloud Self-supervised Learning
Yatian Pang, Wenxiao Wang, Francis E.H. Tay, Wei Liu, Yonghong Tian, Li Yuan†
European Conference on Computer Vision (ECCV), 2022
[Axriv] [Code]

Improving Vision Transformers by Revisiting High-frequency Components
Jiawang Bai, Li Yuan†, Shu-Tao Xia†, Shuicheng Yan, Zhifeng Li, Wei Liu†
European Conference on Computer Vision (ECCV), 2022
[Axriv] [Code]

Locality Guidance for Improving Vision Transformers on Tiny Datasets
Kehan Li, Runyi Yu, Zhennan Wang, Li Yuan†, Guoli Song, Jie Chen†
European Conference on Computer Vision (ECCV), 2022
[Axriv] [Code]

Tokens-to-Token ViT: Training Vision Transformers from Scratch on ImageNet
Li Yuan, Yunpeng Chen, Tao Wang, Weihao Yu, Yujun Shi, Zihang Jiang, Francis EH Tay, Jiashi Feng, Shuicheng Yan
International Conference on Computer Vision (ICCV), 2021
[Axriv] [Code]

PnP-DETR: Towards Efficient Visual Analysis with Transformers
Tao Wang, Li Yuan†, Yunpeng Chen, Jiashi Feng, Shuicheng Yan
International Conference on Computer Vision (ICCV), 2021
[Axriv] [Code]

Continual Learning via Bit-Level Information Preserving
Yujun Shi, Li Yuan†, Yunpeng Chen, Jiashi Feng
IEEE Computer Vision and Pattern Recognition (CVPR), 2021
[Axriv] [Code]

Revisiting Knowledge Distillation via Label Smoothing Regularization
Li Yuan, Francis EH Tay, Guilin Li, Tao Wang, Jiashi Feng
IEEE Computer Vision and Pattern Recognition (CVPR), 2020 (Oral)
[Axriv] [Code]

Central Similarity Quantization for Efficient Image and Video Retrieval
Li Yuan, Tao Wang, Xiaopeng Zhang, Francis EH Tay, Zequn Jie, Wei Liu, Jiashi Feng
IEEE Computer Vision and Pattern Recognition (CVPR), 2020
[Axriv] [Code]

Toward Accurate Person-level Action Recognition in Videos of Crowded Scenes
Li Yuan, Yichen Zhou, Shuning Chang, Ziyuan Huang, Yupeng Chen, Xuecheng Nie, Tao Wang, Jiashi Feng, Shuicheng Yan
ACM International Conference on Multimedia (ACM MM), 2020

Cycle-SUM: Cycle-Consistent Adversarial LSTM Networks for Unsupervised Video Summarization
Li Yuan, Francis Eng Hock Tay, Ping Li, Li Zhou, Jiashi Feng
AAAI Conference on Artificial Intelligence (AAAI), 2019

Unsupervised Video Summarization With Cycle-Consistent Adversarial LSTM Networks
Li Yuan, Francis Eng Hock Tay, Ping Li, Jiashi Feng
IEEE Transactions on Multimedia (IEEE TMM), 2019

DynaMixer: A Vision MLP Architecture with Dynamic Mixing
Ziyu Wang, Wenhao Jiang, Yiming Zhu, Li Yuan, Yibing Song, Wei Liu
International Conference on Machine Learning (ICML), 2022
[Axriv]

Positive-Negative Momentum: Manipulating Stochastic Gradient Noise to Improve Generalization
Zeke Xie, Li Yuan, Zhanxing Zhu, Masashi Sugiyama
International Conference on Machine Learning (ICML), 2021 (Spotlight)
[Axriv] [Code]

All Tokens Matter: Token Labeling for Training Better Vision Transformers
Zihang Jiang, Qibin Hou, Li Yuan, Daquan Zhou, Yujun Shi, Xiaojie Jin, Anran Wang, Jiashi Feng
Conference on Neural Information Processing Systems (NeurIPS), 2021
[Axriv] [Code]

Distilling Object Detectors With Fine-Grained Feature Imitation
Tao Wang, Li Yuan, Xiaopeng Zhang, Jiashi Feng
IEEE Computer Vision and Pattern Recognition (CVPR), 2019
[Axriv] [Code]

Few-shot adaptive faster r-cnn
Tao Wang, Xiaopeng Zhang, Li Yuan, Jiashi Feng
IEEE Computer Vision and Pattern Recognition (CVPR), 2019

Preprint

Adversarial Images for the Primate Brain
Li Yuan, Will Xiao, Gabriel Kreiman, Francis E.H. Tay, Jiashi Feng, Margaret S. Livingstone
[Axriv] [Code Coming]

Academic service

Guest Editor

  • MDPI-Sensors (IF: 3.57)

Associate Editor

  • IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)

(Senior) Program Committee or Reviewer

  • CVPR, ICCV, ECCV, ICML, NeurIPS, ICLR, AAAI, CoLLAs etc.

  • IEEE TPAMI, TNNLS, TMM, TCSVT , Neurocomputing, Pattern Recognition etc.

Awards

  • Chinese Government Award for Outstanding Students Abroad(50 scholarships in 2021)

  • NUS Research Scholarship (2017-2021)

  • ACM MM Grand Challenge Winner, 2020.10

  • Winner (1'st Place) of "Human in Event" Video Understanding Challenge, Track4 (2020.06)