2 citations · 2 across the 3 of their papers we have counts for
3 papers
cs.LG2025
Lite-RVFL: A Lightweight Random Vector Functional-Link Neural Network for Learning Under Concept Drift
Songqiao Hu, Zeyi Liu, Xiao He
The change in data distribution over time, also known as concept drift, poses a significant challenge to the reliability of online learning methods. Existing methods typically requ…
cs.RO2024
FASIONAD : FAst and Slow FusION Thinking Systems for Human-Like Autonomous Driving with Adaptive Feedback
Kangan Qian, Zhikun Ma, Yangfan He +13
Ensuring safe, comfortable, and efficient navigation is a critical goal for autonomous driving systems. While end-to-end models trained on large-scale datasets excel in common driv…
cs.LG2023★ 2 cited
An Evidential Real-Time Multi-Mode Fault Diagnosis Approach Based on Broad Learning System
Chen Li, Zeyi Liu, Limin Wang +2
Fault diagnosis is a crucial area of research in industry. Industrial processes exhibit diverse operating conditions, where data often have non-Gaussian, multi-mode, and center-dri…