ARGO: a model for accurate estimation of influenza epidemics using Google search data. - Shihao Yang 002; Mauricio Santillana; Samuel C. Kou (CoRR, 2015)

Advances in using Internet searches to track dengue. - Shihao Yang 002; Samuel C. Kou; Fred Lu; John S. Brownstein; Nicholas Brooke; Mauricio Santillana (PLoS Comput. Biol., 2017)

On parallelizable Markov chain Monte Carlo algorithms with waste-recycling. - Shihao Yang 002; Yang Chen 063; Espen Bernton; Jun S. Liu (Stat. Comput., 2018)

Causal Graph and Social Network Analysis for the Spread of COVID-19 from Self-reported Indicator Data. - Shaoou Chen; Yao Xie 002; Shihao Yang 002 (ACSCC, 2021)

COUnty aggRegation mixup AuGmEntation (COURAGE) COVID-19 Prediction. - Siawpeng Er; Shihao Yang 002; Tuo Zhao (CoRR, 2021)

MAGI-X: Manifold-Constrained Gaussian Process Inference for Unknown System Dynamics. - Chaofan Huang; Simin Ma; Shihao Yang 002 (CoRR, 2021)

Early Detection of COVID-19 Hotspots Using Spatio-Temporal Data. - Shixiang Zhu; Alexander Bukharin; Liyan Xie; Shihao Yang 002; Pinar Keskinocak; Yao Xie 002 (CoRR, 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 002; Yao Xie 002 (ACM Trans. Manag. Inf. Syst., 2021)

COVID-19 and Influenza Joint Forecasts Using Internet Search Information in the United States. - Simin Ma; Shaoyang Ning; Shihao Yang 002 (CoRR, 2022)

COVID-19 Hospitalizations Forecasts Using Internet Search Data. - Tao Wang; Simin Ma; Soobin Baek; Shihao Yang 002 (CoRR, 2022)

Inference of Nonlinear Partial Differential Equations via Constrained Gaussian Processes. - Zhaohui Li; Shihao Yang 002; C. F. Jeff Wu (CoRR, 2022)

Early Detection of COVID-19 Hotspots Using Spatio-Temporal Data. - Shixiang Zhu; Alexander Bukharin; Liyan Xie; Khurram Yamin; Shihao Yang 002; Pinar Keskinocak; Yao Xie 002 (IEEE J. Sel. Top. Signal Process., 2022)

Deep Attention Q-Network for Personalized Treatment Recommendation. - Simin Ma; Junghwan Lee; Nicoleta Serban; Shihao Yang 002 (ICDM (Workshops), 2023)

Manifold-constrained Gaussian process inference for time-varying parameters in dynamic systems. - Yan Sun; Shihao Yang 002 (Stat. Comput., 2023)

ARM: Refining Multivariate Forecasting with Adaptive Temporal-Contextual Learning. - Jiecheng Lu; Xu Han; Shihao Yang 002 (ICLR, 2024)

CATS: Enhancing Multivariate Time Series Forecasting by Constructing Auxiliary Time Series as Exogenous Variables. - Jiecheng Lu; Xu Han; Yan Sun; Shihao Yang 002 (ICML, 2024)

In-context Time Series Predictor. - Jiecheng Lu; Yan Sun; Shihao Yang 002 (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 002 (CoRR, 2024)

Autoregressive Moving-average Attention Mechanism for Time Series Forecasting. - Jiecheng Lu; Xu Han; Yan Sun; Shihao Yang 002 (CoRR, 2024)

Coupled Integral PINN for conservation law. - Yeping Wang; Shihao Yang 002 (CoRR, 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 002; S. C. Kou (J. Stat. Softw., 2024)

Parameter Inference Based on Gaussian Processes Informed by Nonlinear Partial Differential Equations. - Zhaohui Li; Shihao Yang 002; C. F. Jeff Wu (SIAM/ASA J. Uncertain. Quantification, 2024)

Order Book Queue Hawkes Markovian Modeling. - Philip Protter; Qianfan Wu; Shihao Yang 002 (SIAM J. Financial Math., 2024)