Jinglai Li

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 41

Top Topics

Gaussian Process

Image Reconstruction

Bayesian Inference

Particle Filtering

Top Venues

J. Comput. Phys.

SIAM J. Sci. Comput.

SIAM/ASA J. Uncertain. Quantification

Publications

Ziruo Cai, Junqi Tang, Subhadip Mukherjee, Jinglai Li, Carola-Bibiane Schönlieb, Xiaoqun Zhang
NF-ULA: Normalizing Flow-Based Unadjusted Langevin Algorithm for Imaging Inverse Problems. SIAM J. Imaging Sci. 17 (2) (2024)
Chen Cheng, Jinglai Li
ODEs Learn to Walk: ODE-Net based Data-Driven Modeling for Crowd Dynamics. AAMAS (2024)
Ziqiao Ao, Jinglai Li
On Estimating the Gradient of the Expected Information Gain in Bayesian Experimental Design. AAAI (2024)
Tiexin Guo, Hongji Wang, Jinglai Li, Hongqiao Wang
Sampling-based adaptive design strategy for failure probability estimation. Reliab. Eng. Syst. Saf. 241 (2024)
Zhihang Xu, Qifeng Liao, Jinglai Li
Domain-decomposed Bayesian inversion based on local Karhunen-Loève expansions. J. Comput. Phys. 504 (2024)
Yingzhi Xia, Qifeng Liao, Jinglai Li
VI-DGP: A variational inference method with deep generative prior for solving high-dimensional inverse problems. CoRR (2023)
Yingzhi Xia, Qifeng Liao, Jinglai Li
VI-DGP: A Variational Inference Method with Deep Generative Prior for Solving High-Dimensional Inverse Problems. J. Sci. Comput. 97 (1) (2023)
Ziqiao Ao, Jinglai Li
Entropy Estimation via Uniformization. CoRR (2023)
Ziruo Cai, Junqi Tang, Subhadip Mukherjee, Jinglai Li, Carola Bibiane Schönlieb, Xiaoqun Zhang
NF-ULA: Langevin Monte Carlo with Normalizing Flow Prior for Imaging Inverse Problems. CoRR (2023)
Robert Millar, Hui Li, Jinglai Li
Multicanonical sequential Monte Carlo sampler for uncertainty quantification. Reliab. Eng. Syst. Saf. 237 (2023)
Ziqiao Ao, Jinglai Li
Entropy estimation via uniformization. Artif. Intell. 322 (2023)
Ziqiao Ao, Jinglai Li
On Estimating the Gradient of the Expected Information Gain in Bayesian Experimental Design. CoRR (2023)
Ziruo Cai, Jinglai Li, Xiaoqun Zhang
Approximate Primal-Dual Fixed-Point based Langevin Algorithms for Non-smooth Convex Potentials. CoRR (2023)
Junpeng Hu, Shi Jin, Jinglai Li, Lei Zhang
On multilevel Monte Carlo methods for deterministic and uncertain hyperbolic systems. J. Comput. Phys. 475 (2023)
Qingping Zhou, Jiayu Qian, Junqi Tang, Jinglai Li
Deep Unrolling Networks with Recurrent Momentum Acceleration for Nonlinear Inverse Problems. CoRR (2023)
Zhihang Xu, Qifeng Liao, Jinglai Li
Domain-decomposed Bayesian inversion based on local Karhunen-Loève expansions. CoRR (2022)
Junda Xiong, Xin Cai, Jinglai Li
Clustered active-subspace based local Gaussian Process emulator for high-dimensional and complex computer models. J. Comput. Phys. 450 (2022)
Ziqiao Ao, Jinglai Li
Entropy Estimation via Normalizing Flow. AAAI (2022)
Chen Cheng, Jinglai Li
ODEs learn to walk: ODE-Net based data-driven modeling for crowd dynamics. CoRR (2022)
Jiangqi Wu, Linjie Wen, Peter L. Green, Jinglai Li, Simon Maskell
Ensemble Kalman filter based sequential Monte Carlo sampler for sequential Bayesian inference. Stat. Comput. 32 (1) (2022)
Linjie Wen, Jinglai Li
Affine-mapping based variational ensemble Kalman filter. Stat. Comput. 32 (6) (2022)
Junpeng Hu, Shi Jin, Jinglai Li, Lei Zhang
On multilevel Monte Carlo methods for deterministic and uncertain hyperbolic systems. CoRR (2022)
Junda Xiong, Xin Cai, Jinglai Li
Clustered active-subspace based local Gaussian Process emulator for high-dimensional and complex computer models. CoRR (2021)
Linjie Wen, Jinglai Li
Linear-Mapping based Variational Ensemble Kalman Filter. CoRR (2021)
Tengchao Yu, Hongqiao Wang, Jinglai Li
Maximum Conditional Entropy Hamiltonian Monte Carlo Sampler. SIAM J. Sci. Comput. 43 (5) (2021)
Qingping Zhou, Tengchao Yu, Xiaoqun Zhang, Jinglai Li
Bayesian Inference and Uncertainty Quantification for Medical Image Reconstruction with Poisson Data. SIAM J. Imaging Sci. 13 (1) (2020)
Yuzhou Gao, Tengchao Yu, Jinglai Li
Bayesian Optimization with Local Search. LOD (2) (2020)
Linjie Wen, Jiangqi Wu, Linjun Lu, Jinglai Li
A Defensive Marginal Particle Filtering Method for Data Assimilation. SIAM/ASA J. Uncertain. Quantification 8 (3) (2020)
Ziqiao Ao, Jinglai Li
An approximate KLD based experimental design for models with intractable likelihoods. AISTATS (2020)
Ke Li, Kejun Tang, Jinglai Li, Tianfan Wu, Qifeng Liao
A Hierarchical Neural Hybrid Method for Failure Probability Estimation. IEEE Access 7 (2019)
Ke Li, Kejun Tang, Jinglai Li, Tianfan Wu, Qifeng Liao
A hierarchical neural hybrid method for failure probability estimation. CoRR (2019)
Qifeng Liao, Jinglai Li
An adaptive reduced basis ANOVA method for high-dimensional Bayesian inverse problems. J. Comput. Phys. 396 (2019)
Yuzhou Gao, Tengchao Yu, Jinglai Li
Bayesian optimization with local search. CoRR (2019)
Hongqiao Wang, Jinglai Li
Adaptive Gaussian Process Approximation for Bayesian Inference with Expensive Likelihood Functions. Neural Comput. 30 (11) (2018)
Zhe Feng, Jinglai Li
An Adaptive Independence Sampler MCMC Algorithm for Bayesian Inferences of Functions. SIAM J. Sci. Comput. 40 (3) (2018)
Qingping Zhou, Zixi Hu, Zhewei Yao, Jinglai Li
A Hybrid Adaptive MCMC Algorithm in Function Spaces. SIAM/ASA J. Uncertain. Quantification 5 (1) (2017)
Xinjuan Chen, Jinglai Li
A subset multicanonical Monte Carlo method for simulating rare failure events. J. Comput. Phys. 344 (2017)
Zixi Hu, Zhewei Yao, Jinglai Li
On an adaptive preconditioned Crank-Nicolson MCMC algorithm for infinite dimensional Bayesian inference. J. Comput. Phys. 332 (2017)
Hongqiao Wang, Guang Lin, Jinglai Li
Gaussian process surrogates for failure detection: A Bayesian experimental design approach. J. Comput. Phys. 313 (2016)
Keyi Wu, Jinglai Li
A surrogate accelerated multicanonical Monte Carlo method for uncertainty quantification. J. Comput. Phys. 321 (2016)
Jinglai Li, Guang Lin, Xu Yang
A frozen Gaussian approximation-based multi-level particle swarm optimization for seismic inversion. J. Comput. Phys. 296 (2015)
Jinglai Li, Youssef M. Marzouk
Adaptive Construction of Surrogates for the Bayesian Solution of Inverse Problems. SIAM J. Sci. Comput. 36 (3) (2014)
Jinglai Li, William L. Kath
Extracting Solitons from Noisy Pulses. SIAM J. Appl. Math. 72 (2) (2012)
Jing Li, Jinglai Li, Dongbin Xiu
An efficient surrogate-based method for computing rare failure probability. J. Comput. Phys. 230 (24) (2011)