2 papers
cs.CV2026
A Unified Non-Parametric and Interpretable Point Cloud Analysis via t-FCW Graph Representation
Haijian Lai, Bowen Liu, Man Xu +4
We introduce an empowered transposed Fully Connected Weighted (t-FCW) graph representation to embed point clouds into a metric space. While original t-FCW has shown promising resul…
cs.LG2026
TSNN: A Non-parametric and Interpretable Framework for Traffic Time Series Forecasting
Bowen Liu, Haijian Lai, Chan-Tong Lam +4
Although many complex models were proposed to analyze time series data, some studies have demonstrated remarkable performance with simpler structures. A recent study proposed a non…