Workshops and Technical Reports

2. Evaluating adversarial robustness in simulated cerebellum. Liu Yuezhang, Bo Li, Qifeng Chen. 2021. NeurIPS 2020 Workshop on Pre-‌registration in Machine Learning, PMLR 148, 33-‌50.
1. An initial attempt of combining visual selective attention with deep reinforcement learning. Liu Yuezhang, Ruohan Zhang and Dana H. Ballard. 2018. arXiv preprint arXiv:1811.04407.

Theses

2. Attractor and recurrent neural networks in grid pattern formation. Liu Yuezhang. 2021. M.Phil. Thesis, HKUST.
1. Solving sparse reward problems in reinforcement learning with memory graph planning. Liu Yuezhang. 2019. Bachelor's Thesis, Tsinghua University.