Xiao Wang

31 papers A* 4A 1B 1C 2Journal 21Unranked 2
YearRankTypeTitle / Venue / Authors
2025 J jnl
Censor Dependent Variational Inference.
CoRR
Chuanhui Liu, Xiao Wang
2025 J jnl
Doubly Robust Conditional VAE via Decoder Calibration: An Implicit KL Annealing Approach.
Trans. Mach. Learn. Res.
Chuanhui Liu, Xiao Wang
2025 J jnl
Wasserstein Coreset via Sinkhorn Loss.
Trans. Mach. Learn. Res.
Haoyun Yin, Yixuan Qiu, Xiao Wang
2024 J jnl
Adaptive Learning of the Latent Space of Wasserstein Generative Adversarial Networks.
CoRR
Yixuan Qiu, Qingyi Gao, Xiao Wang
2023 J jnl
Efficient Multimodal Sampling via Tempered Distribution Flow.
CoRR
Yixuan Qiu, Xiao Wang
2023 J jnl
Partial conditioning for inference of many-normal-means with Hölder constraints.
Int. J. Approx. Reason.
Jiasen Yang, Xiao Wang, Chuanhai Liu
2021 J jnl
Inferential Wasserstein Generative Adversarial Networks.
CoRR
Yao Chen, Qingyi Gao, Xiao Wang
2021 J jnl
Nonlinear Variable Selection via Deep Neural Networks.
J. Comput. Graph. Stat.
Yao Chen, Qingyi Gao, Faming Liang, Xiao Wang
2021 J jnl
Resilient UAV Traffic Congestion Control Using Fluid Queuing Models.
IEEE Trans. Intell. Transp. Syst.
Jiazhen Zhou, Li Jin, Xiao Wang, Dengfeng Sun
2021 J jnl
Scalable network estimation with L0 penalty.
Stat. Anal. Data Min.
Junghi Kim, Hongtu Zhu, Xiao Wang, Kim-Anh Do
2020 — conf
A data denoising approach to optimize functional clustering of single cell RNA-sequencing data.
BIBM
Changlin Wan, Dongya Jia, Yue Zhao, Wennan Chang, Sha Cao, Xiao Wang, Chi Zhang
2020 B conf
Cross-Lingual Document Retrieval with Smooth Learning.
COLING
Jiapeng Liu, Xiao Zhang, Dan Goldwasser, Xiao Wang
2020 J jnl
Cross-Lingual Document Retrieval with Smooth Learning.
CoRR
Jiapeng Liu, Xiao Zhang, Dan Goldwasser, Xiao Wang
2020 A* conf
Stochastic Approximate Gradient Descent via the Langevin Algorithm.
AAAI
Yixuan Qiu, Xiao Wang
2020 J jnl
Stochastic Approximate Gradient Descent via the Langevin Algorithm.
CoRR
Yixuan Qiu, Xiao Wang
2020 A* conf
Unbiased Contrastive Divergence Algorithm for Training Energy-Based Latent Variable Models.
ICLR
Yixuan Qiu, Lingsong Zhang, Xiao Wang
2019 A* conf
Theoretical Investigation of Generalization Bound for Residual Networks.
IJCAI
Hao Chen, Zhanfeng Mo, Zhouwang Yang, Xiao Wang
2018 A conf
On the Statistical Efficiency of Compositional Nonparametric Prediction.
AISTATS
Yixi Xu, Jean Honorio, Xiao Wang
2018 A* conf
Understanding Weight Normalized Deep Neural Networks with Rectified Linear Units.
NeurIPS
Yixi Xu, Xiao Wang
2018 J jnl
Understanding Weight Normalized Deep Neural Networks with Rectified Linear Units.
CoRR
Yixi Xu, Xiao Wang
2017 J jnl
Minimax Lower Bound and Optimal Estimation of Convex Functions in the Sup-Norm.
IEEE Trans. Autom. Control.
Teresa M. Lebair, Jinglai Shen, Xiao Wang
2017 J jnl
Statistical Efficiency of Compositional Nonparametric Prediction.
CoRR
Yixi Xu, Jean Honorio, Xiao Wang
2016 J jnl
Local Region Sparse Learning for Image-on-Scalar Regression.
CoRR
Yao Chen, Xiao Wang, Linglong Kong, Hongtu Zhu
2013 J jnl
Uniform Convergence and Rate Adaptive Estimation of Convex Functions via Constrained Optimization.
SIAM J. Control. Optim.
Xiao Wang, Jinglai Shen
2012 C conf
Convex regression via penalized splines: A complementarity approach.
ACC
Jinglai Shen, Xiao Wang
2011 — conf
A constrained optimal control approach to smoothing splines.
CDC/ECC
Jinglai Shen, Xiao Wang
2011 J jnl
Estimation of Monotone Functions via P-Splines: A Constrained Dynamical Optimization Approach.
SIAM J. Control. Optim.
Jinglai Shen, Xiao Wang
2010 J jnl
An Inverse Gaussian Process Model for Degradation Data.
Technometrics
Xiao Wang, Dihua Xu
2010 C conf
Estimation of shape constrained functions in dynamical systems and its application to gene networks.
ACC
Jinglai Shen, Xiao Wang
2010 J jnl
Wiener processes with random effects for degradation data.
J. Multivar. Anal.
Xiao Wang
2004 J jnl
Discussion.
Technometrics
Vijayan N. Nair, Xiao Wang