3 citations · 3 across the 3 of their papers we have counts for
5 papers
Continual Visual and Verbal Learning Through a Child's Egocentric Input
Xiaoyang Jiang, Yanlai Yang, Kenneth A. Norman +2
Children learn the meanings of words from a continuous, temporally structured stream of egocentric experience. Recent work shows that neural networks can also learn word-referent m…
Population-Coded Spiking Neural Networks for High-Dimensional Robotic Control
Kanishkha Jaisankar, Xiaoyang Jiang, Feifan Liao +1
Energy-efficient and high-performance motor control remains a critical challenge in robotics, particularly for high-dimensional continuous control tasks with limited onboard resour…
Saliency-Guided Hidden Associative Replay for Continual Learning
Guangji Bai, Qilong Zhao, Xiaoyang Jiang +2
Continual Learning is a burgeoning domain in next-generation AI, focusing on training neural networks over a sequence of tasks akin to human learning. While CL provides an edge ove…
Fully Spiking Neural Network for Legged Robots
Xiaoyang Jiang, Qiang Zhang, Jingkai Sun +3
Recent advancements in legged robots using deep reinforcement learning have led to significant progress. Quadruped robots can perform complex tasks in challenging environments, whi…
Prompt, Plan, Perform: LLM-based Humanoid Control via Quantized Imitation Learning
Jingkai Sun, Qiang Zhang, Yiqun Duan +3
In recent years, reinforcement learning and imitation learning have shown great potential for controlling humanoid robots' motion. However, these methods typically create simulatio…