Shihao Yang - RankMe

34 papers A* 5Journal 27Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	CAPS: Unifying Attention, Recurrence, and Alignment in Transformer-based Time Series Forecasting. CoRR Viresh Pati, Yubin Kim, Vinh Pham, Jevon Twitty, Shihao Yang, Jiecheng Lu
2026	J	`jnl`	StretchTime: Adaptive Time Series Forecasting via Symplectic Attention. CoRR Yubin Kim, Viresh Pati, Jevon Twitty, Vinh Pham, Shihao Yang, Jiecheng Lu
2026	J	`jnl`	ZeroS: Zero-Sum Linear Attention for Efficient Transformers. CoRR Jiecheng Lu, Xu Han, Yan Sun, Viresh Pati, Yubin Kim, Siddhartha Somani, Shihao Yang
2025	A*	`conf`	In-context Time Series Predictor. ICLR Jiecheng Lu, Yan Sun, Shihao Yang
2025	A*	`conf`	Linear Transformers as VAR Models: Aligning Autoregressive Attention Mechanisms with Autoregressive Forecasting. ICML Jiecheng Lu, Shihao Yang
2025	J	`jnl`	Linear Transformers as VAR Models: Aligning Autoregressive Attention Mechanisms with Autoregressive Forecasting. CoRR Jiecheng Lu, Shihao Yang
2025	J	`jnl`	Physics-Informed Inference Time Scaling via Simulation-Calibrated Scientific Machine Learning. CoRR Zexi Fan, Yan Sun, Shihao Yang, Yiping Lu
2025	A*	`conf`	WAVE: Weighted Autoregressive Varying Gate for Time Series Forecasting. ICML Jiecheng Lu, Xu Han, Yan Sun, Shihao Yang
2024	A*	`conf`	ARM: Refining Multivariate Forecasting with Adaptive Temporal-Contextual Learning. ICLR Jiecheng Lu, Xu Han, Shihao Yang
2024	J	`jnl`	Autoregressive Moving-average Attention Mechanism for Time Series Forecasting. CoRR Jiecheng Lu, Xu Han, Yan Sun, Shihao Yang
2024	A*	`conf`	CATS: Enhancing Multivariate Time Series Forecasting by Constructing Auxiliary Time Series as Exogenous Variables. ICML Jiecheng Lu, Xu Han, Yan Sun, Shihao Yang
2024	J	`jnl`	CATS: Enhancing Multivariate Time Series Forecasting by Constructing Auxiliary Time Series as Exogenous Variables. CoRR Jiecheng Lu, Xu Han, Yan Sun, Shihao Yang
2024	J	`jnl`	Coupled Integral PINN for conservation law. CoRR Yeping Wang, Shihao Yang
2024	J	`jnl`	In-context Time Series Predictor. CoRR Jiecheng Lu, Yan Sun, Shihao Yang
2024	J	`jnl`	Inverse Probability of Treatment Weighting with Deep Sequence Models Enables Accurate treatment effect Estimation from Electronic Health Records. CoRR Junghwan Lee, Simin Ma, Nicoleta Serban, Shihao Yang
2024	J	`jnl`	Order Book Queue Hawkes Markovian Modeling. SIAM J. Financial Math. Philip Protter, Qianfan Wu, Shihao Yang
2024	J	`jnl`	Parameter Inference Based on Gaussian Processes Informed by Nonlinear Partial Differential Equations. SIAM/ASA J. Uncertain. Quantification Zhaohui Li, Shihao Yang, C. F. Jeff Wu
2024	J	`jnl`	magi: A Package for Inference of Dynamic Systems from Noisy and Sparse Data via Manifold-Constrained Gaussian Processes. J. Stat. Softw. Samuel W. K. Wong, Shihao Yang, S. C. Kou
2023	J	`jnl`	ARM: Refining Multivariate Forecasting with Adaptive Temporal-Contextual Learning. CoRR Jiecheng Lu, Xu Han, Shihao Yang
2023	—	`conf`	Deep Attention Q-Network for Personalized Treatment Recommendation. ICDM (Workshops) Simin Ma, Junghwan Lee, Nicoleta Serban, Shihao Yang
2023	J	`jnl`	Deep Attention Q-Network for Personalized Treatment Recommendation. CoRR Simin Ma, Junghwan Lee, Nicoleta Serban, Shihao Yang
2023	J	`jnl`	Manifold-constrained Gaussian process inference for time-varying parameters in dynamic systems. Stat. Comput. Yan Sun, Shihao Yang
2022	J	`jnl`	COVID-19 Hospitalizations Forecasts Using Internet Search Data. CoRR Tao Wang, Simin Ma, Soobin Baek, Shihao Yang
2022	J	`jnl`	COVID-19 and Influenza Joint Forecasts Using Internet Search Information in the United States. CoRR Simin Ma, Shaoyang Ning, Shihao Yang
2022	J	`jnl`	Early Detection of COVID-19 Hotspots Using Spatio-Temporal Data. IEEE J. Sel. Top. Signal Process. Shixiang Zhu, Alexander Bukharin, Liyan Xie, Khurram Yamin, Shihao Yang, Pinar Keskinocak, Yao Xie
2022	J	`jnl`	Inference of Nonlinear Partial Differential Equations via Constrained Gaussian Processes. CoRR Zhaohui Li, Shihao Yang, C. F. Jeff Wu
2021	J	`jnl`	COUnty aggRegation mixup AuGmEntation (COURAGE) COVID-19 Prediction. CoRR Siawpeng Er, Shihao Yang, Tuo Zhao
2021	—	`conf`	Causal Graph and Social Network Analysis for the Spread of COVID-19 from Self-reported Indicator Data. ACSCC Shaoou Chen, Yao Xie, Shihao Yang
2021	J	`jnl`	Early Detection of COVID-19 Hotspots Using Spatio-Temporal Data. CoRR Shixiang Zhu, Alexander Bukharin, Liyan Xie, Shihao Yang, Pinar Keskinocak, Yao Xie
2021	J	`jnl`	High-Resolution Spatio-Temporal Model for County-Level COVID-19 Activity in the U.S. ACM Trans. Manag. Inf. Syst. Shixiang Zhu, Alexander Bukharin, Liyan Xie, Mauricio Santillana, Shihao Yang, Yao Xie
2021	J	`jnl`	MAGI-X: Manifold-Constrained Gaussian Process Inference for Unknown System Dynamics. CoRR Chaofan Huang, Simin Ma, Shihao Yang
2018	J	`jnl`	On parallelizable Markov chain Monte Carlo algorithms with waste-recycling. Stat. Comput. Shihao Yang, Yang Chen, Espen Bernton, Jun S. Liu
2017	J	`jnl`	Advances in using Internet searches to track dengue. PLoS Comput. Biol. Shihao Yang, Samuel C. Kou, Fred Lu, John S. Brownstein, Nicholas Brooke, Mauricio Santillana
2015	J	`jnl`	ARGO: a model for accurate estimation of influenza epidemics using Google search data. CoRR Shihao Yang, Mauricio Santillana, Samuel C. Kou