I am a Researcher at Nanjing University of Aeronautics and Astronautics. I earned my PhD from The University of Sydney.
My research interests focus on AI Planning, weakly supervised learning, representation learning, and neural-symbolic learning.
Before starting my PhD, I co-founded the agricultural IoT company ACSM in China with Mr. Hai Lan, leading a development team of 50 staff from 2010 to 2018.
Address: No. 29, Jingshen Avenue, Nanjing City, Jiangsu Province, China
Subclass-Dominant Label Noise: A Counterexample for the Success of Early Stopping
Yingbin Bai, Zhongyi Han, Erkun Yang, Jun Yu, Bo Han, Dadong Wang, Tongliang Liu
NeurIPS 2023
RSA: Reducing Semantic Shift from Aggressive Augmentations for Self-supervised Learning
Yingbin Bai, Erkun Yang, Zhaoqing Wang, Yuxuan Du, Bo Han, Cheng Deng, Dadong Wang, Tongliang Liu
NeurIPS 2022
Understanding and Improving Early Stopping for Learning with Noisy Labels
Yingbin Bai, Erkun Yang, Bo Han, Yanhua Yang, Jiatong Li, Yinian Mao, Gang Niu, and Tongliang Liu
NeurIPS 2021
Me-Momentum: Extracting Hard Confident Examples from Noisily Labeled Data
Yingbin Bai and Tongliang Liu
ICCV 2021 Oral
Academic Activity
2023, Outstanding Student Service Award at the 36th Australian Artificial Intelligence Conference.
2021, I partcipated in MICCAI QUBIQ Challenge 2021, and got the 2nd place.
2021, received the CSIRO Data61 Scholarship from CSIRO Data61.
2021, received the Machine Learning Laboratory Research Excellence Award.
