4 citations · 5 across the 6 of their papers we have counts for
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cs.LG2026
N-Tree Diffusion for Long-Horizon Wildfire Risk Forecasting
Yucheng Xing, Xin Wang
Long-horizon wildfire risk forecasting requires generating probabilistic spatial fields under sparse event supervision while maintaining computational efficiency across multiple pr…
cs.LG2024
Puppet-CNN: Continuous Parameter Dynamics for Input-Adaptive Convolutional Networks
Yucheng Xing, Xin Wang
Modern convolutional neural networks (CNNs) organize computation as a discrete stack of layers whose parameters are independently stored and learned, with the number of layers fixe…
cs.LG2020★ 4 cited
Learning Continuous-Time Dynamics by Stochastic Differential Networks
Yingru Liu, Yucheng Xing, Xuewen Yang +4
Learning continuous-time stochastic dynamics is a fundamental and essential problem in modeling sporadic time series, whose observations are irregular and sparse in both time and d…