Tao LIN

Tenure-track Assistant Professor, PI of LINs Lab at Westlake University.

Education

• Doctor of Science (Sep. 2017 - Jul. 2022)
  School of Computer and Communication Sciences, École Polytechnique Fédérale de Lausanne (EPFL), Switzerland.
  

• Master of Science (Sep. 2014 - Feb. 2017)
  School of Computer and Communication Sciences, École Polytechnique Fédérale de Lausanne (EPFL), Switzerland.
  

• Bachelor of Engineering (with honors) (Sep. 2010 - Jun. 2014)
  College of Electrical Engineering, Zhejiang University (ZJU), P.R. China.

Teaching

• TA of Machine Learning, 2016 Fall, 2018 Fall, 2020 Fall, 2021 Fall.
• TA of Deep Learning, 2018 Spring, 2019 Spring.
• Other TAs: Analysis I, 2019 Fall; Signals and Systems, 2020 Spring; Systems for data science, 2021 Spring.

Professional services

• Conference reviewer: ICLR '2021-'2023; ICML '2019-'2022; NeurIPS '2019-'2022; AAAI '2020; AISTATS '2022-'2023.
• Journal reviewer: Transactions on Machine Learning Research (TMLR); IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI); IEEE Transactions on Neural Networks and Learning Systems (TNNLS); ACM Computing Surveys; Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT); IEEE Transactions on Signal Processing (TSP).
• Workshop reviewer: OPT '2020-'2022; CLVision: Workshop on Continual Learning in Computer Vision (CVPR 2022).

Honors and awards

• Outstanding performance bonus awarded by EPFL, 2021, 2022
• Top reviewer: NeurIPS 2019 (50%), ICML 2020 (33%), AISTATS 2022 (10%)
• Teaching Assistant Award for Machine Learning Course, 2016.
• Zhejiang University Outstanding Graduates, 2014.
• 1st prize of MITSUBISHIELECTRIC Automation Competiton, 2013.
• Excellent Merit Student of Zhejiang University, 2011, 2012, 2013.