ML Anthology

Yang, Shihao

9 publications

ICLR 2026 Free Energy Mixer Jiecheng Lu, Shihao Yang
ICLR 2026 Physics-Informed Inference Time Scaling for Solving High-Dimensional Partial Differential Equations Zexi Fan, Yan Sun, Shihao Yang, Yiping Lu
ICLR 2025 In-Context Time Series Predictor Jiecheng Lu, Yan Sun, Shihao Yang
NeurIPS 2025 Inference of Whole Brain Electrophysiological Networks Through Multimodal Integration of Simultaneous Scalp and Intracranial EEG Shihao Yang, Feng Liu
ICML 2025 Linear Transformers as VAR Models: Aligning Autoregressive Attention Mechanisms with Autoregressive Forecasting Jiecheng Lu, Shihao Yang
ICML 2025 WAVE: Weighted Autoregressive Varying Gate for Time Series Forecasting Jiecheng Lu, Xu Han, Yan Sun, Shihao Yang
NeurIPS 2025 ZeroS: Zero‑Sum Linear Attention for Efficient Transformers Jiecheng Lu, Xu Han, Yan Sun, Viresh Pati, Yubin Kim, Siddhartha Somani, Shihao Yang
ICLR 2024 ARM: Refining Multivariate Forecasting with Adaptive Temporal-Contextual Learning Jiecheng Lu, Xu Han, Shihao Yang
ICML 2024 CATS: Enhancing Multivariate Time Series Forecasting by Constructing Auxiliary Time Series as Exogenous Variables Jiecheng Lu, Xu Han, Yan Sun, Shihao Yang