Shihao Yang

According to our database, Shihao Yang authored at least 26 papers between 2015 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

Physics-Informed Inference Time Scaling via Simulation-Calibrated Scientific Machine Learning.

Zexi Fan, Yan Sun, Shihao Yang, Yiping Lu

CoRR, April, 2025

WAVE: Weighted Autoregressive Varying Gate for Time Series Forecasting.

Jiecheng Lu, Xu Han, Yan Sun, Shihao Yang

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Linear Transformers as VAR Models: Aligning Autoregressive Attention Mechanisms with Autoregressive Forecasting.

Jiecheng Lu, Shihao Yang

Proceedings of the Forty-second International Conference on Machine Learning, 2025

In-context Time Series Predictor.

Jiecheng Lu, Yan Sun, Shihao Yang

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Order Book Queue Hawkes Markovian Modeling.

Philip Protter, Qianfan Wu, Shihao Yang

SIAM J. Financial Math., March, 2024

Parameter Inference Based on Gaussian Processes Informed by Nonlinear Partial Differential Equations.

Zhaohui Li, Shihao Yang, C. F. Jeff Wu

SIAM/ASA J. Uncertain. Quantification, 2024

magi: A Package for Inference of Dynamic Systems from Noisy and Sparse Data via Manifold-Constrained Gaussian Processes.

Samuel W. K. Wong, Shihao Yang, S. C. Kou

J. Stat. Softw., 2024

Coupled Integral PINN for conservation law.

Yeping Wang, Shihao Yang

CoRR, 2024

Autoregressive Moving-average Attention Mechanism for Time Series Forecasting.

Jiecheng Lu, Xu Han, Yan Sun, Shihao Yang

CoRR, 2024

Inverse Probability of Treatment Weighting with Deep Sequence Models Enables Accurate treatment effect Estimation from Electronic Health Records.

Junghwan Lee, Simin Ma, Nicoleta Serban, Shihao Yang

CoRR, 2024

CATS: Enhancing Multivariate Time Series Forecasting by Constructing Auxiliary Time Series as Exogenous Variables.

Jiecheng Lu, Xu Han, Yan Sun, Shihao Yang

Proceedings of the Forty-first International Conference on Machine Learning, 2024

ARM: Refining Multivariate Forecasting with Adaptive Temporal-Contextual Learning.

Jiecheng Lu, Xu Han, Shihao Yang

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Manifold-constrained Gaussian process inference for time-varying parameters in dynamic systems.

Yan Sun, Shihao Yang

Stat. Comput., December, 2023

Deep Attention Q-Network for Personalized Treatment Recommendation.

Simin Ma, Junghwan Lee, Nicoleta Serban, Shihao Yang

Proceedings of the IEEE International Conference on Data Mining, 2023

2022

Early Detection of COVID-19 Hotspots Using Spatio-Temporal Data.

Shixiang Zhu, Alexander Bukharin, Liyan Xie, Khurram Yamin, Shihao Yang, Pinar Keskinocak, Yao Xie

IEEE J. Sel. Top. Signal Process., 2022

Inference of Nonlinear Partial Differential Equations via Constrained Gaussian Processes.

Zhaohui Li, Shihao Yang, C. F. Jeff Wu

CoRR, 2022

COVID-19 Hospitalizations Forecasts Using Internet Search Data.

Tao Wang, Simin Ma, Soobin Baek, Shihao Yang

CoRR, 2022

COVID-19 and Influenza Joint Forecasts Using Internet Search Information in the United States.

Simin Ma, Shaoyang Ning, Shihao Yang

CoRR, 2022

2021

High-Resolution Spatio-Temporal Model for County-Level COVID-19 Activity in the U.S.

Shixiang Zhu, Alexander Bukharin, Liyan Xie, Mauricio Santillana, Shihao Yang, Yao Xie

ACM Trans. Manag. Inf. Syst., 2021

Early Detection of COVID-19 Hotspots Using Spatio-Temporal Data.

Shixiang Zhu, Alexander Bukharin, Liyan Xie, Shihao Yang, Pinar Keskinocak, Yao Xie

CoRR, 2021

MAGI-X: Manifold-Constrained Gaussian Process Inference for Unknown System Dynamics.

Chaofan Huang, Simin Ma, Shihao Yang

CoRR, 2021

COUnty aggRegation mixup AuGmEntation (COURAGE) COVID-19 Prediction.

Siawpeng Er, Shihao Yang, Tuo Zhao

CoRR, 2021

Causal Graph and Social Network Analysis for the Spread of COVID-19 from Self-reported Indicator Data.

Shaoou Chen, Yao Xie, Shihao Yang

Proceedings of the 55th Asilomar Conference on Signals, Systems, and Computers, 2021

2018

On parallelizable Markov chain Monte Carlo algorithms with waste-recycling.

Shihao Yang, Yang Chen, Espen Bernton, Jun S. Liu

Stat. Comput., 2018

2017

Advances in using Internet searches to track dengue.

Shihao Yang, Samuel C. Kou, Fred Lu, John S. Brownstein, Nicholas Brooke, Mauricio Santillana

PLoS Comput. Biol., 2017

2015

ARGO: a model for accurate estimation of influenza epidemics using Google search data.

Shihao Yang, Mauricio Santillana, Samuel C. Kou

CoRR, 2015