11 citations · 12 across the 4 of their papers we have counts for
5 papers
Echoes of Error: Residual-Directional Local Rollout Consistency for Timeseries Forecasting
Zheng Wang, Kaixuan Zhang, Xiaonan Lu +1
In time-series forecasting, rollout errors are not merely one-step fitting discrepancies: once fed back into the evolving state, they can perturb future predictions. We formalize t…
The Labyrinth and the Thread: Rethinking Regularizations in Sequential Knowledge Editing for Large Language Models
Zheng Wang, Kaixuan Zhang, Wanfang Chen +2
Sequential editing of structured knowledge in large language models allows targeted factual updates without retraining, yet existing methods often rely on complex regularization or…
Characteristic Root Analysis and Regularization for Linear Time Series Forecasting
Zheng Wang, Kaixuan Zhang, Wanfang Chen +3
Time series forecasting remains a critical challenge across numerous domains, yet the effectiveness of complex models often varies unpredictably across datasets. Recent studies hig…
Are You All Normal? It Depends!
Wanfang Chen, Marc G. Genton
The assumption of normality has underlain much of the development of statistics, including spatial statistics, and many tests have been proposed. In this work, we focus on the mult…
DeepKriging: Spatially Dependent Deep Neural Networks for Spatial Prediction
Wanfang Chen, Yuxiao Li, Brian J Reich +1
In spatial statistics, a common objective is to predict values of a spatial process at unobserved locations by exploiting spatial dependence. Kriging provides the best linear unbia…