Discussion. - Vijayan N. Nair; Xiao Wang 045 (Technometrics, 2004)

Estimation of shape constrained functions in dynamical systems and its application to gene networks. - Jinglai Shen; Xiao Wang 045 (ACC, 2010)

Wiener processes with random effects for degradation data. - Xiao Wang 045 (J. Multivar. Anal., 2010)

An Inverse Gaussian Process Model for Degradation Data. - Xiao Wang 045; Dihua Xu (Technometrics, 2010)

A constrained optimal control approach to smoothing splines. - Jinglai Shen; Xiao Wang 045 (CDC/ECC, 2011)

Estimation of Monotone Functions via P-Splines: A Constrained Dynamical Optimization Approach. - Jinglai Shen; Xiao Wang 045 (SIAM J. Control. Optim., 2011)

Convex regression via penalized splines: A complementarity approach. - Jinglai Shen; Xiao Wang 045 (ACC, 2012)

Uniform Convergence and Rate Adaptive Estimation of Convex Functions via Constrained Optimization. - Xiao Wang 045; Jinglai Shen (SIAM J. Control. Optim., 2013)

Local Region Sparse Learning for Image-on-Scalar Regression. - Yao Chen; Xiao Wang 045; Linglong Kong; Hongtu Zhu (CoRR, 2016)

Minimax Lower Bound and Optimal Estimation of Convex Functions in the Sup-Norm. - Teresa M. Lebair; Jinglai Shen; Xiao Wang 045 (IEEE Trans. Autom. Control., 2017)

On the Statistical Efficiency of Compositional Nonparametric Prediction. - Yixi Xu; Jean Honorio; Xiao Wang 045 (AISTATS, 2018)

Understanding Weight Normalized Deep Neural Networks with Rectified Linear Units. - Yixi Xu; Xiao Wang 045 (NeurIPS, 2018)

Theoretical Investigation of Generalization Bound for Residual Networks. - Hao Chen; Zhanfeng Mo; Zhouwang Yang; Xiao Wang 045 (IJCAI, 2019)

Stochastic Approximate Gradient Descent via the Langevin Algorithm. - Yixuan Qiu; Xiao Wang 045 (AAAI, 2020)

Cross-Lingual Document Retrieval with Smooth Learning. - Jiapeng Liu; Xiao Zhang 017; Dan Goldwasser; Xiao Wang 045 (COLING, 2020)

Unbiased Contrastive Divergence Algorithm for Training Energy-Based Latent Variable Models. - Yixuan Qiu; Lingsong Zhang; Xiao Wang 045 (ICLR, 2020)

Inferential Wasserstein Generative Adversarial Networks. - Yao Chen; Qingyi Gao; Xiao Wang 045 (CoRR, 2021)

Nonlinear Variable Selection via Deep Neural Networks. - Yao Chen; Qingyi Gao; Faming Liang; Xiao Wang 045 (J. Comput. Graph. Stat., 2021)

Scalable network estimation with L0 penalty. - Junghi Kim; Hongtu Zhu; Xiao Wang 045; Kim-Anh Do (Stat. Anal. Data Min., 2021)

Resilient UAV Traffic Congestion Control Using Fluid Queuing Models. - Jiazhen Zhou; Li Jin 004; Xiao Wang 045; Dengfeng Sun (IEEE Trans. Intell. Transp. Syst., 2021)

Efficient Multimodal Sampling via Tempered Distribution Flow. - Yixuan Qiu; Xiao Wang 045 (CoRR, 2023)

Partial conditioning for inference of many-normal-means with Hölder constraints. - Jiasen Yang; Xiao Wang 045; Chuanhai Liu (Int. J. Approx. Reason., 2023)

Adaptive Learning of the Latent Space of Wasserstein Generative Adversarial Networks. - Yixuan Qiu; Qingyi Gao; Xiao Wang 045 (CoRR, 2024)

Doubly Robust Conditional VAE via Decoder Calibration: An Implicit KL Annealing Approach. - Chuanhui Liu; Xiao Wang 045 (Trans. Mach. Learn. Res., 2025)

Wasserstein Coreset via Sinkhorn Loss. - Haoyun Yin; Yixuan Qiu; Xiao Wang 045 (Trans. Mach. Learn. Res., 2025)

Censor Dependent Variational Inference. - Chuanhui Liu; Xiao Wang 045 (CoRR, 2025)