Conference paper

(Under review) Jonathon Wong*, Anthony Kwan*, Bryan M. Li*, Vinod Muthusamy, Hans-Arno Jacobsen. Improving Predictions in Cloud Data center Workloads using Neural Networks and Online Learning. USENIX Symposium on Networked Systems Design and Implementation (NSDI), 2020
Aidan N. Gomez, Sicong Huang, Ivan Zhang, Bryan M. Li, Muhammad Osama, Łukasz Kaiser. CipherGAN: Unsupervised Cipher Cracking Using Neural Networks. International Conference on Learning Representations (ICLR), 2018

Workshop paper

Aidan N. Gomez, Sicong Huang, Ivan Zhang, Bryan M. Li, Muhammad Osama, Łukasz Kaiser. Unsupervised Cipher Cracking Using Discrete GANs. Neural Information Processing Systems (NeurIPS) DISCML workshop, 2017

Journal

Bryan M. Li, Alexander Cowen-Rivers, Piotr Kozakowski, David Tao, Siddhartha Rao Kamalakara, Nitarshan Rajkumar, Hariharan Sezhiyan, Sicong Huang, Aidan N. Gomez. RL: A generic reinforcement learning codebase in TensorFlow. Journal of Open Source Software (JOSS), 2019

Tutorial

Bryan M. Li. A Transformer Chatbot Tutorial with TensorFlow 2.0. TensorFlow Blog, 2019
* denote equal contributions