Xu He, Tianlin Liu, Fatemeh Hadaeghi, and Herbert Jaeger. Reservoir Transfer on Analog Neuromorphic Hardware. The 9th International IEEE EMBS Conference on Neural Engineering (NER), San Francisco, CA, 2019. 3rd best paper award out of 467 accepted papers. .
Tianlin Liu and Dae Gwan Lee. Fast Binary Compressive Sensing via $\ell_0$ Gradient Descent. The 5th International Workshop on Compressed Sensing Theory and its Applications to Radar, Sonar, and Remote Sensing (CoSeRa 2018), Siegen, Germany, September 2018.
Tianlin Liu, João Sedoc, and Lyle Ungar. Correcting the Common Discourse Bias in Linear Representation of Sentences using Conceptors. Biocreative/OHNLP workshop at ACM-BCB 2018, Washington, D.C., USA, August 2018.
Harnesing Slow Dynamics in Neuromorphic Computation. Master thesis, Department of EE and CS, Jacobs University, 2019. Deans Prize for outstanding Master theses