My name is Tianlin and I’m a PhD student at the University of Basel, Switzerland. I am broadly interested in machine learning, algorithmic statistics, and signal processing.

I received my BSc (2016) and MSc (2019) from Jacobs University Bremen, Germany, where I worked with Herbert Jaeger.

News

  • June 2020: Our paper (with Friedemann Zenke) on training sparse neural networks has been accepted by ICML 2020.

  • November 2019: Our paper (with Zekun Yang) on word vector denoising has been accepted by AAAI 2020.

  • September 2019: I started my PhD study at the Friedrich Miescher Institute and the University of Basel.

  • August 2019: I have been awarded a Deans Prize for outstanding Master’s thesis 2019 by Jacobs University Bremen, Germany.

  • May 2019: I submitted my MSc thesis.

  • March 2019: Our paper (with Xu He, Fatemeh Hadaeghi, and Herbert Jaeger) on training spiking neural networks for neuromorphic hardware won a best paper finalist award at IEEE NER-2019 (3rd place out of 467 accepted papers).