About Me
I am an CSE PhD sudent in The Hong Kong University of Science and Technology (HKUST) HKUST, supervised by Professor Tong Zhang. Out of Distribution (OOD) Generalization , Robustess of Deep Learning and Learning theory are my research interests.
If you are also interested in discussing / cooperating with me on OOD, you can contact me by Email (ylindf(A)connect.ust.hk {A = @}).
I have lunched a blog on Invariant Risk Minimization here (in Chinese).
Publications
(*equal contribution)
Pre-prints
- Id and ood performance are sometimes inversely correlated on real-world datasets
Damien Teney, Yong Lin, Seong Joon Oh, Ehsan Abbasnejad
In Submission - ZeroGen: Self-Guided High-Quality Data Generation in Efficient Zero-Shot Learning
Jiahui Gao, Renjie Pi, Yong Lin, Hang Xu, Jiacheng Ye, Zhiyong Wu, Xiaodan Liang, Zhenguo Li, Lingpeng Kong
In Submission
2022
- ZIN: When and How to Learn Invariance by Environment Inference?
Yong Lin, Shengyu Zhu, Lu Tan, Peng Cui
Thirty-sixth Conference on Neural Information Processing Systems (NeurIPS 2022)
[code] - Bayesian Invariant Risk Minimization (ORAL)
Yong Lin*, Hanze Dong*, Hao Wang, Tong Zhang
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2022)
[code] - Sparse Invariant Risk Minimization
Xiao Zhou*, Yong Lin*, Weizhong Zhang*, Tong Zhang
Proceedings of the 39th International Conference on MachineLearning (ICML 2022) - Model Agnostic Sample Reweighting for Out-of-Distribution Learning
Xiao Zhou*, Yong Lin*, Renjie Pi*, Weizhong Zhang, Renzhe Xu, Peng Cui, Tong Zhang
Proceedings of the 39th International Conference on MachineLearning (ICML 2022)
[code] - Probabilistic Bilevel Coreset Selection
Xiao Zhou, Renjie Pi, Weizhong Zhang, Yong Lin, Zonghao Chen, Tong Zhang
Proceedings of the 39th International Conference on MachineLearning (ICML 2022)
2021 and before
- An Empirical Study of Invariant Risk Minimization on Deep Models
Yong Lin*, Qing Lian* and Tong Zhang
ICML2021 workshop on UDL (Uncertainty & Robustness in Deep Learning)
[code] - Cable sheath loss reduction strategy research based on the coupled linemodel
Yong Lin, Zheng Xu
IEEE Transactions On Power Delivery
Selected Awards
- National Scholarship * 3 (1.8%, by China’s Ministry of Education), 2010, 2011 and 2015
- Hong Kong PhD Fellowship Scheme(HKPFS) Award
- Outstanding Graduate of Zhejiang Province(2.5%, by Zhejiang Province’s Ministry of Education), 2013
- Nomination for Zhu Kochen scholarship(0.5%, Highest Student Honor in Zhejiang University), 2013
- Meritorious Winner, The Mathematical Contest in Modeling(International MCM), 2012
Experiences
- The Hong Kong University of Science and Technology
PhD Student
2020 - Now - AntFinancial, Alibaba
Employee, Data Scientist
2017 - 2022 - Zhejiang Univeristy
Master of Engineering
2013 - 2016 - Zhejiang Univeristy
Bachelor of Engineering(Ranking 1/207)
2009 - 2013