2 citations · 4 across the 2 of their papers we have counts for
3 papers
cs.LG2023
Geometric Imbalance in Semi-Supervised Node Classification
Liang Yan, Shengzhong Zhang, Bisheng Li +6
Class imbalance in graph data presents a significant challenge for effective node classification, particularly in semi-supervised scenarios. In this work, we formally introduce the…
math.NA2023★ 2 cited
Failure-informed adaptive sampling for PINNs, Part II: combining with re-sampling and subset simulation
Zhiwei Gao, Tao Tang, Liang Yan +1
This is the second part of our series works on failure-informed adaptive sampling for physic-informed neural networks (FI-PINNs). In our previous work \cite{gao2022failure}, we hav…
cs.CV2019★ 2 cited
Traffic Sign Detection and Recognition for Autonomous Driving in Virtual Simulation Environment
Meixin Zhu, Jingyun Hu, Ziyuan Pu +3
This study developed a traffic sign detection and recognition algorithm based on the RetinaNet. Two main aspects were revised to improve the detection of traffic signs: image cropp…