Yang Chu
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- Lab member: 2016-
- Supervised by: Dan Goodman
Yang Chu is a PhD student, working on principles of neural computation, and high performance implementations using spiking neural network (in particular, using non-standard computational hardware such as FPGAs). He is jointly supervised by Wayne Luk and Brooks Paige.
Publications
Note that only publications as part of the Neural Reckoning group are included here (see external publications below for full list).
2020
2019
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Chu Y, Goodman DFM (2019)
An Inference Network Model for Goal-directed Attentional Selection.
Cognitive Computational Neuroscience - + 1 conference paper
External publications
This is a short preview of the publications from other sources (ORCID, Semantic Scholar). Note that publications from work done outside the Neural Reckoning group are included in this list.
2020
2019
- Yang Chu, Dan F. M. Goodman (2019)
An Inference Network Model for Goal-directed Attentional Selection
2019 Conference on Cognitive Computational Neuroscience
2018
- Shuanglong Liu, Hongxiang Fan, Xinyu Niu, Ho-Cheung Ng, Yang Chu, W. Luk (2018)
Optimizing CNN-based Segmentation with Deeply Customized Convolutional and Deconvolutional Architectures on FPGA
ACM Transactions on Reconfigurable Technology and Systems