Wormhole Hamiltonian Monte Carlo. - Shiwei Lan; Jeffrey Streets; Babak Shahbaba (AAAI, 2014)

Spherical Hamiltonian Monte Carlo for Constrained Target Distributions. - Shiwei Lan; Bo Zhou 003; Babak Shahbaba (ICML, 2014)

A Semiparametric Bayesian Model for Detecting Synchrony Among Multiple Neurons. - Babak Shahbaba; Bo Zhou 003; Shiwei Lan; Hernando Ombao; David Moorman; Sam Behseta (Neural Comput., 2014)

Split Hamiltonian Monte Carlo. - Babak Shahbaba; Shiwei Lan; Wesley O. Johnson; Radford M. Neal (Stat. Comput., 2014)

An efficient Bayesian inference framework for coalescent-based nonparametric phylodynamics. - Shiwei Lan; Julia A. Palacios; Michael D. Karcher; Vladimir N. Minin; Babak Shahbaba (Bioinform., 2015)

Emulation of higher-order tensors in manifold Monte Carlo methods for Bayesian Inverse Problems. - Shiwei Lan; Tan Bui-Thanh; Mike Christie; Mark A. Girolami (J. Comput. Phys., 2016)

Geometric MCMC for infinite-dimensional inverse problems. - Alexandros Beskos; Mark A. Girolami; Shiwei Lan; Patrick E. Farrell; Andrew M. Stuart (J. Comput. Phys., 2017)

Adaptive dimension reduction to accelerate infinite-dimensional geometric Markov Chain Monte Carlo. - Shiwei Lan (J. Comput. Phys., 2019)

Nonparametric Fisher Geometry with Application to Density Estimation. - Andrew Holbrook; Shiwei Lan; Jeffrey Streets; Babak Shahbaba (UAI, 2020)

Calibrate, emulate, sample. - Emmet Cleary; Alfredo Garbuno-Inigo; Shiwei Lan; Tapio Schneider; Andrew M. Stuart (J. Comput. Phys., 2021)

Learning Temporal Evolution of Spatial Dependence with Generalized Spatiotemporal Gaussian Process Models. - Shiwei Lan (J. Mach. Learn. Res., 2022)

Scaling Up Bayesian Uncertainty Quantification for Inverse Problems Using Deep Neural Networks. - Shiwei Lan; Shuyi Li; Babak Shahbaba (SIAM/ASA J. Uncertain. Quantification, 2022)

Bayesian Learning via Q-Exponential Process. - Shuyi Li; Michael O'Connor; Shiwei Lan (NeurIPS, 2023)

Bayesian spatiotemporal modeling for inverse problems. - Shiwei Lan; Shuyi Li; Mirjeta Pasha (Stat. Comput., 2023)

The Reconstruction of the Space-Dependent Thermal Conductivity from Sparse Temperature Measurements. - Guangting Yu; Shiwei Lan; Kookjin Lee; Alex Mahalov (CoRR, 2024)

Scaling Up Bayesian Neural Networks with Neural Networks. - Zahra Moslemi; Yang Meng; Shiwei Lan; Babak Shahbaba (Trans. Mach. Learn. Res., 2024)

Deep Q-Exponential Processes. - Zhi Chang; Chukwudi Paul Obite; Shuang Zhou; Shiwei Lan (AABI, 2025)

Bayesian Regularization of Latent Representation. - Chukwudi Paul Obite; Zhi Chang; Keyan Wu; Shiwei Lan (ICLR, 2025)

A cancelable multi-biometric system based on the feature-level fusion of fingerprint and finger vein. - Yuxing Li; Xueshuang Li; Guodong Zhao; Chuanxian Xin; Shiwei Lan; Zhenhuan Hu (Multim. Tools Appl., 2025)