134 citations · 478 across the 30 of their papers we have counts for
7 papers · 1 filter
Evolutionary Gait Transfer of Multi-Legged Robots in Complex Terrains
Min Jiang, Guokun Chi, Geqiang Pan +2
Robot gait optimization is the task of generating an optimal control trajectory under various internal and external constraints. Given the high dimensions of control space, this pr…
BiLO-CPDP: Bi-Level Programming for Automated Model Discovery in Cross-Project Defect Prediction
Ke Li, Zilin Xiang, Tao Chen +1
Cross-Project Defect Prediction (CPDP), which borrows data from similar projects by combining a transfer learner with a classifier, have emerged as a promising way to predict softw…
Progressive Tandem Learning for Pattern Recognition with Deep Spiking Neural Networks
Jibin Wu, Chenglin Xu, Daquan Zhou +2
Spiking neural networks (SNNs) have shown clear advantages over traditional artificial neural networks (ANNs) for low latency and high computational efficiency, due to their event-…
Synaptic Learning with Augmented Spikes
Qiang Yu, Shiming Song, Chenxiang Ma +2
Traditional neuron models use analog values for information representation and computation, while all-or-nothing spikes are employed in the spiking ones. With a more brain-like pro…
Constructing Accurate and Efficient Deep Spiking Neural Networks with Double-threshold and Augmented Schemes
Qiang Yu, Chenxiang Ma, Shiming Song +3
Spiking neural networks (SNNs) are considered as a potential candidate to overcome current challenges such as the high-power consumption encountered by artificial neural networks (…
Towards Efficient Processing and Learning with Spikes: New Approaches for Multi-Spike Learning
Qiang Yu, Shenglan Li, Huajin Tang +3
Spikes are the currency in central nervous systems for information transmission and processing. They are also believed to play an essential role in low-power consumption of the bio…