5 citations · 11 across the 3 of their papers we have counts for
3 papers
cs.CV2019★ 4 cited
CAE-ADMM: Implicit Bitrate Optimization via ADMM-based Pruning in Compressive Autoencoders
Haimeng Zhao, Peiyuan Liao
We introduce ADMM-pruned Compressive AutoEncoder (CAE-ADMM) that uses Alternative Direction Method of Multipliers (ADMM) to optimize the trade-off between distortion and efficiency…
cs.RO2018★ 2 cited
Full Workspace Generation of Serial-link Manipulators by Deep Learning based Jacobian Estimation
Peiyuan Liao, Jiajun Mao
Apart from solving complicated problems that require a certain level of intelligence, fine-tuned deep neural networks can also create fast algorithms for slow, numerical tasks. In…
cs.RO2018★ 5 cited
Deep Neural Network Based Subspace Learning of Robotic Manipulator Workspace Mapping
Peiyuan Liao
The manipulator workspace mapping is an important problem in robotics and has attracted significant attention in the community. However, most of the pre-existing algorithms have ex…