Jiaqi Li

(2024) L² Inference for Change Points in High-Dimensional Time Series via a Two-Way MOSUM
J. Li, Likai Chen, Weining Wang, Wei Biao Wu
The Annals of Statistics (AOS). 52(2): 602-627.
[R code: R package 'L2hdchange']
(2024) Simultaneous Inference of a Partially Linear Model in Time Series
J. Li, Likai Chen, Kun Ho Kim, Tianwei Zhou
The Journal of Time Series Analysis (JTSA), to appear.
(2022) Change-Point Detection for High-Dimensional Time Series with Cross-Sectional Dependence
J. Li, Likai Chen, Jia He, Maggie Cheng, Wei Biao Wu
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), submitted.
Inference for Quantile Change Points in High-Dimensional Time Series (working paper)
J. Li, Likai Chen and Mengyu Xu
Adaptive Two-Way MOSUM: Testing for Multiscale Change Points in Spatial Time Series (working paper)
J. Li, Hangcen Zou, Michel F. C. Haddad, Likai Chen

(2024+) Asymptotics of Stochastic Gradient Descent with Dropout Regularization in Linear Models
J. Li, Johannes Schmidt-Hieber, Wei Biao Wu
The Journal of Machine Learning Research (JMLR), under review.
[R code: Github 'Dropout_SGD']
(2024) Probabilistic Guarantees of Stochastic Recursive Gradient in Non-Convex Finite Sum Problems
Yanjie Zhong^*, J. Li^*, Soumendra Lahiri
The 28th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD).
[Python code: Github 'Prob-SARAH-PyTorch']
(2023+) The Stochastic Gradient Descent from a Nonlinear Time Series Perspective
J. Li, Zhipeng Lou, Stefan Richter, Wei Biao Wu
The Annals of Statistics (AOS), under revision.
L^p-Convergence of Stochastic Gradient Descent with a Mixture Learning Rate (working paper)
Or Goldreich^*, Qianqian Lei^*, J. Li^*, Sung-Yi Lin^*, Wei Biao Wu
Quantile Estimation by Stochastic Gradient Descent with Constant Step Size (working paper)
Ziyang Wei, J. Li, Likai Chen, Wei Biao Wu
Statistical Analysis of Adaptive Variance-Reduced Expectation-Maximization Algorithms Under the Polyak-Łojasiewicz Condition (working paper)
Yanjie Zhong, J. Li, Todd Kuffner
(2018) Design of Wi-Fi Indoor Positioning Model and Algorithm Based on Radial Basis Function with Optimal Shape Parameter
J. Li
IEEE 10th International Conference on Communication Software and Networks (ICCSN)
Oral presentation honored as "Best Talk", acceptance < 0.1%

(2024) Network Level Enrichment Provides a Framework for Biological Interpretation of Machine Learning Results
J. Li, Ari Segel, Xinyang Feng, Jiaxin Cindy Tu, Andy Eck, Kelsey King, Babatunde Adeyemo, Nicole R. Karcher, Likai Chen, Adam T. Eggebrecht, Muriah D. Wheelock
Network Neuroscience. 8(3): 762–790.
[MATLAB code: Github 'MachineLearning_NetworkLevelAnalysis']
(2024+) Early Life Neuroimaging: The Generalizability of Cortical Area Parcellations Across Development
JC Tu, M Myers, W Li, J. Li, X Wang, D Dierker, T Day, AZ Snyder, A Latham, JK Kenley, CM. Sobolewski, Y Wang, AK Labonte, E Feczko, O Kardan, LA Moore, CM Sylvester, DA Fair, JT Elison, BB Warner, DM Barch, CE Rogers, JL Luby, CD Smyser, EM Gordon, TO Laumann, AT Eggebrecht, MD Wheelock
Cerebral Cortex, under review.
bioRxiv prerint:2024.09.09.612056.
[MATLAB code: Github 'AreaParcellationInfants']
(2023+) Effects of functional network model definition on biomarker outcome prediction
Xinyang Feng^*, Wei Li^*, J. Li^*, Jiaxin C. Tu, Ari Segel, Xinyang Feng, Muriah D. Wheelock

Research