Liang Sun

Bridging Past and Future: Distribution-Aware Alignment for Time Series Forecasting

ClimateAR: Multi-Scale Autoregressive Generative Modeling for Climate Forecasting

DeepPrim: a Physics-Driven 3D Short-term Weather Forecaster via Primitive Equation Learning

Skillful Kilometer-Scale Regional Weather Forecasting via Global and Regional Coupling

ProtoTS: Learning Hierarchical Prototypes for Explainable Time Series Forecasting

MMRN: A Multi-scale Multi-task Residual Network for Seasonal Climate Forecasting

A Non-isotropic Time Series Diffusion Model with Moving Average Transitions

Does Vector Quantization Fail in Spatio-Temporal Forecasting? Exploring a Differentiable Sparse Soft-Vector Quantization Approach

Evolving Multi-Scale Normalization for Time Series Forecasting under Distribution Shifts

Benchmarks and Custom Package for Energy Forecasting

Mitigating Time Discretization Challenges with WeatherODE: A Sandwich Physics-Driven Neural ODE for Weather Forecasting