1 citations · 1 across the 2 of their papers we have counts for
3 papers
cs.CL2021★ 1 cited
Bi-Granularity Contrastive Learning for Post-Training in Few-Shot Scene
Ruikun Luo, Guanhuan Huang, Xiaojun Quan
The major paradigm of applying a pre-trained language model to downstream tasks is to fine-tune it on labeled task data, which often suffers instability and low performance when th…
cs.HC2020
Enhancing autonomy transparency: an option-centric rationale approach
Ruikun Luo, Na Du, X. Jessie Yang
While the advances in artificial intelligence and machine learning empower a new generation of autonomous systems for assisting human performance, one major concern arises from the…
cs.HC2020
A Workload Adaptive Haptic Shared Control Scheme for Semi-Autonomous Driving
Ruikun Luo, Yifan Weng, Yifan Wang +7
Haptic shared control is used to manage the control authority allocation between a human and an autonomous agent in semi-autonomous driving. Existing haptic shared control schemes,…