Yingyi Chen's Homepage

Yingyi Chen

ESAT-STADIUS

KU Leuven

Leuven, Belgium

Email:

yingyi.chen[at]esat.kuleuven.be

chenyingyi076[at]gmail[dot]com

About Me

I am a senior PhD student at STADIUS Center for Dynamical Systems, Signal Processing, and Data Analytics of KU Leuven, Leuven, Belgium, advised by Prof. ir. Johan A.K. Suykens. Before KU Leuven, I was advised by Prof. Chunrong Ai during my study as a PhD candidate in Renmin University of China, Beijing, China. I received my BS in Statistics from Huazhong University of Science and Technology, Wuhan, China.

My research area is in Machine Learning and Deep Learning. Specific topics include kernel methods in Transformers, learning with noisy labels, self-supervised learning, uncertainty estimation. [CV]

News

[03/2024] I was honored to help organizing and reviewing DEEPK 2024 International Workshop on Deep Learning and Kernel Machines.
[02/2024] Our paper "SURE: SUrvey REcipes for building reliable and robust deep networks" has been accepted to CVPR 2024.
[11/2023] I was honored to be the co-organizer of Rethinking Transformers through Duality and New Directions Workshop at Leuven.AI junior researchers day.
[09/2023] Our paper "Primal-Attention: Self-attention through Asymmetric Kernel SVD in Primal Representation" has been accepted to NeurIPS 2023.

Publications [Full List]

Self-Attention through Kernel-Eigen Pair Sparse Variational Gaussian Processes
Yingyi Chen^*, Qinghua Tao^*, Francesco Tonin, Johan A.K. Suykens
preprint, 2024
[arXiv] [BibTeX]

SURE: SUrvey REcipes for building reliable and robust deep networks
Yuting Li, Yingyi Chen, Xuanlong Yu, Dexiong Chen, Xi Shen
The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024
[Project Page] [arXiv] [BibTeX] [Code (GitHub)] Star

Primal-Attention: Self-attention through Asymmetric Kernel SVD in Primal Representation
Yingyi Chen^*, Qinghua Tao^*, Francesco Tonin, Johan A.K. Suykens
Advances in Neural Information Processing Systems (NeurIPS), 2023
[Project Page] [arXiv] [PDF] [Poster] [BibTeX] [Code (GitHub)] Star

Jigsaw-ViT: Learning Jigsaw Puzzles in Vision Transformer
Yingyi Chen, Xi Shen, Yahui Liu, Qinghua Tao, Johan A.K. Suykens
Pattern Recognition Letters (PRL), Elsevier, 2023
[Project Page] [arXiv] [PDF] [BibTeX] [Code (GitHub)] Star

Compressing Features for Learning with Noisy Labels
Yingyi Chen, Shell Xu Hu, Xi Shen, Chunrong Ai, Johan A.K. Suykens
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2022
[Project Page] [arXiv] [PDF] [BibTeX] [Code (GitHub)] Star

Boosting Co-teaching with Compression Regularization for Label Noise
Yingyi Chen, Shell Xu Hu, Xi Shen, Johan A.K. Suykens
The IEEE/CVF Conference on Computer Vision and Pattern Recognition L2ID Workshop (CVPR@L2ID), 2021
[Project Page] [arXiv] [PDF] [BibTeX] [Workshop Video (7 mins)] [Code (GitHub)] Star

Fast Learning in Reproducing Kernel Krein Spaces via Signed Measures
Fanghui Liu, Xiaolin Huang, Yingyi Chen, Johan A.K. Suykens
International Conference on Artificial Intelligence and Statistics (AISTATS), 2021
[arXiv] [PDF] [Poster] [BibTeX] [Code]

Selected Honors and Awards

Research Travel Grant, KU Leuven, 2023.
Academic Scholarship, Renmin University of China, 2017, 2018.
National Scholarship (top 0.2%, highest honor), Ministry of Education of P.R.China, 2014.
Premium student of Qiming College (top 1%), Huazhong University of Science and Technology, 2013, 2014, 2015.
First-Class Scholarship (top 5%), Huazhong University of Science and Technology, 2012, 2013, 2015.

Academic Services

Journal Reviewer

Teaching

Duties at various times have included: daily supervisor of master theses, weekly computer lab exercises, assign and mark homework.

KU Leuven, Daily supervisor of master theses in Mathematical Engineering, Fall 2020, Fall 2021, Fall 2022, Fall 2023
KU Leuven, H00H3a -- Support Vector Machines: Methods and Applications, Teaching Assistant, Spring 2020, Spring 2021, Spring 2022, Spring 2023
KU Leuven, H05R4a -- Data Mining and Neural Networks, Teaching Assistant, Fall 2019, Fall 2020, Fall 2021, Fall 2022, Fall 2023

Art & Music

I am a piano player who wants to be a painter. I am also interested in photography and turning photos into drawings. Here are some works from my digital gallery. My homepage icon is my self-portrait: