Wei Lin @ PKU

Wang, H. and Lin, W. (2023+).
Nonasymptotic theory for two-layer neural networks: Beyond the bias–variance trade-off.
PDF

Zhang, S., Wang, H. and Lin, W. (2024).
CARE: Large precision matrix estimation for compositional data.
Journal of the American Statistical Association, to appear. PDF | Software

Zhao, X., Wang, H. and Lin, W. (2023).
The aggregation–heterogeneity trade-off in federated learning.
Conference on Learning Theory (COLT), 5478–5502. PDF

Zhao, X., Zhang, J. and Lin, W. (2023).
Clustering multivariate count data via Dirichlet-multinomial network fusion.
Computational Statistics & Data Analysis, 179, 107634. PDF | Software

Zheng, Z., Lv, J. and Lin, W. (2021).
Nonsparse learning with latent variables.
Operations Research, 69(1), 346–359. PDF | Supplement

Wu, H., Zheng, X., Zhu, J., Lin, W., Zheng, H., Chen, X., Wang, W., Wang, Z. and Chen, S. X. (2020).
Improving PM_2.5 forecasts in China using an initial error transport model.
Environmental Science & Technology, 54(17), 10493–10501. PDF | Supplement

Zhang, J. and Lin, W. (2019).
Scalable estimation and regularization for the logistic normal multinomial model.
Biometrics, 75(4), 1098–1108. PDF | Supplement | Software

Uematsu, Y., Fan, Y., Chen, K., Lv, J. and Lin, W. (2019).
SOFAR: Large-scale association network learning.
IEEE Transactions on Information Theory, 65(8), 4924–4939. PDF

Cao, Y., Lin, W. and Li, H. (2019).
Large covariance estimation for compositional data via composition-adjusted thresholding.
Journal of the American Statistical Association, 114(526), 759–772. PDF

Cao, Y., Lin, W. and Li, H. (2018).
Two-sample tests of high-dimensional means for compositional data.
Biometrika, 105(1), 115–132. PDF

Strazza, M., Pirrone, V., Wigdahl, B., Dampier, W., Lin, W., Feng, R., Maubert, M. E., Weksler, B., Romero, I. A., Couraud, P.-O. and Nonnemacher, M. R. (2016).
Prolonged morphine exposure induces increased firm adhesion in an in vitro model of the blood–brain barrier.
International Journal of Molecular Sciences, 17(6), 916.

Lin, W., Feng, R. and Li, H. (2015).
Regularization methods for high-dimensional instrumental variables regression with an application to genetical genomics.
Journal of the American Statistical Association, 110(509), 270–288. PDF | Supplement | Software

Healy, F., Lin, W., Feng, R., Hanna, B. D., Hedrick, H. and Panitch, H. B. (2015).
An association between pulmonary hypertension and impaired lung function in infants with congenital diaphragmatic hernia.
Pediatric Pulmonology, 50(7), 672–682.

Cantu, E., Shah, R. J., Lin, W., Daye, Z. J., Diamond, J. M., Suzuki, Y., Ellis, J. H., Borders, C. F., Andah, G. A., Beduhn, B., Meyer, N. J., Ruschefski, M., Aplenc, R., Feng, R. and Christie, J. D. for the Lung Transplant Outcomes Group Investigators (2015).
Oxidant stress regulatory genetic variation in recipients and donors contributes to risk of primary graft dysfunction after lung transplantation.
Journal of Thoracic and Cardiovascular Surgery, 149(2), 596–602. Editorial Commentary

Lin, W., Shi, P., Feng, R. and Li, H. (2014).
Variable selection in regression with compositional covariates.
Biometrika, 101(4), 785–797. PDF | Supplement | Software

Sun, H., Lin, W., Feng, R. and Li, H. (2014).
Network-regularized high-dimensional Cox regression for analysis of genomic data.
Statistica Sinica, 24(3), 1433–1459. PDF | Supplement

Lin, W. and Lv, J. (2013).
High-dimensional sparse additive hazards regression.
Journal of the American Statistical Association, 108(501), 247–264. PDF | Software

Lin, W. (2009).
Asymptotic behavior of periodic Cohen-Grossberg neural networks with delays.
Neural Computation, 21(12), 3444–3459. PDF

Lin, W. and Chen, T. (2007).
Dynamics of periodic Lotka–Volterra systems with general time delays.
Dynamics of Continuous, Discrete and Impulsive Systems, Series B, 14(6), 885–901.

Lin, W. and Chen, T. (2006).
Analysis of two restart algorithms.
Neurocomputing, 69(16–18), 2301–2308.

Lin, W. and Chen, T. (2005).
Controlling chaos in a chaotic neuron model.
International Journal of Bifurcation and Chaos, 15(8), 2611–2621.

Lin, W. and Chen, T. (2005).
Positive periodic solutions of delayed periodic Lotka–Volterra systems.
Physics Letters A, 334(4), 273–287.

吴煌坚, 林伟, 孔磊, 唐晓, 王威, 王自发, 陈松蹊 (2021).
一种基于集合最优插值的排放源快速反演方法.
气候与环境研究, 26(2), 191–201.

张澍一, 陈松蹊, 郭斌, 王恒放, 林伟 (2020).
气象调整下的区域空气质量评估.
中国科学: 数学, 50(4), 527–558.

Lin, W. (2011).
Missing covariates and high-dimensional variable selection in additive hazards regression.
Ph.D. dissertation, University of Southern California. PDF

Lin, W. (2006).
On the connection between some graph invariants and the synchronizability of networks.
Master’s thesis, University of Minnesota Duluth. PDF

Lin, W. (2005).
Stability analysis of delayed periodic Lotka–Volterra systems (in Chinese).
Master’s thesis, Fudan University. PDF