About me

I am a Postdoctoral Researcher at The Australian National University, working closely with Professor Sylvie Thiebaux, an AAAI Fellow and Co-Editor-in-Chief of the Artificial Intelligence journal. I earned my PhD from The University of Sydney, under the supervision of Professor Tongliang Liu, Director of the Sydney AI Centre, and Professor Dadong Wang, Principal Research Scientist at CSIRO Data61.

My research interests focus on 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. Our mission was to enhance food quality by optimizing agricultural practices, improving resource management, boosting farmers' income, and promoting sustainable farming.

Address: Hanna Neumann Building, 145 Science Road, ANU, Canberra, Australia
Email: Yingbin.Bai@anu.edu.au

Publications

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.