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Distribution-Free Predictive Inference for Regression

Journal of the American Statistical Association, 2018-07, Vol.113 (523), p.1094-1111

2018

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Silicon solar cells: toward the efficiency limits

Advances in physics: X, 2019-01, Vol.4 (1), p.1548305

2019

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An introduction to quantum machine learning

Contemporary physics, 2015-04, Vol.56 (2), p.172-185

2015

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A review of biochar as a low-cost adsorbent for aqueous heavy metal removal

Critical reviews in environmental science and technology, 2016-02, Vol.46 (4), p.406-433

2016

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Stochastic Gradient Markov Chain Monte Carlo

Journal of the American Statistical Association, 2021-03, Vol.116 (533), p.433-450

2021

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Optimal Subsampling for Large Sample Logistic Regression

Journal of the American Statistical Association, 2018-01, Vol.113 (522), p.829-844

2018

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Online Smooth Backfitting for Generalized Additive Models

Journal of the American Statistical Association, 2024-04, Vol.119 (546), p.1215-1228

2024

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On the state-of-the-art of particle methods for coastal and ocean engineering

Coastal engineering journal, 2018-01, Vol.60 (1), p.79-103

2018

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Optimal Distributed Subsampling for Maximum Quasi-Likelihood Estimators With Massive Data

Journal of the American Statistical Association, 2022-01, Vol.117 (537), p.265-276

2022

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Joint optimisation of order batching and picker routing in the online retailer's warehouse in China

International journal of production research, 2017-01, Vol.55 (2), p.447-461

2017

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Multiple Imputation Through XGBoost

Journal of computational and graphical statistics, 2024-04, Vol.33 (2), p.352-363

2024

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A Randomized Pairwise Likelihood Method for Complex Statistical Inferences

Journal of the American Statistical Association, 2024-07, Vol.119 (547), p.2317-2327

2024

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First-Order Newton-Type Estimator for Distributed Estimation and Inference

Journal of the American Statistical Association, 2022-10, Vol.117 (540), p.1858-1874

2022

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Material optimization of tri-directional functionally graded plates by using deep neural network and isogeometric multimesh design approach

Applied Mathematical Modelling, 2020-11, Vol.87, p.501-533

2020

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Partition-Based Nonstationary Covariance Estimation Using the Stochastic Score Approximation

Journal of computational and graphical statistics, 2022-10, Vol.31 (4), p.1025-1036

2022

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Bayesian Inference Using Synthetic Likelihood: Asymptotics and Adjustments

Journal of the American Statistical Association, 2023-10, Vol.118 (544), p.2821-2832

2023

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Dynamic Tensor Clustering

Journal of the American Statistical Association, 2019-10, Vol.114 (528), p.1894-1907

2019

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Novel reliability-based optimization method for thermal structure with hybrid random, interval and fuzzy parameters

Applied Mathematical Modelling, 2017-07, Vol.47, p.573-586

2017

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Minimum-time velocity profile planning for planar motion considering velocity, acceleration and jerk constraints

International journal of control, 2023-01, Vol.96 (1), p.251-265

2023

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Data-driven reduced-order models via regularised Operator Inference for a single-injector combustion process

Journal of the Royal Society of New Zealand, 2021-04, Vol.51 (2), p.194-211

2021

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Accelerated and Interpretable Oblique Random Survival Forests

Journal of computational and graphical statistics, 2024, Vol.33 (1), p.192-207

2024

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Multiscale depthwise separable convolution based network for high-resolution image segmentation

International journal of remote sensing, 2022-09, Vol.43 (18), p.6624-6643

2022

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Online Covariance Matrix Estimation in Stochastic Gradient Descent

Journal of the American Statistical Association, 2023-01, Vol.118 (541), p.393-404

2023

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Microstructure reconstruction using diffusion-based generative models

Mechanics of advanced materials and structures, 2024-09, Vol.31 (18), p.4443-4461

2024

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An ensemble model‐based method for estimating failure probability function with application in reliability‐based optimization

Applied Mathematical Modelling, 2022-08, Vol.108, p.445-468

2022

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Distribution-Free Predictive Inference for Regression

Silicon solar cells: toward the efficiency limits

An introduction to quantum machine learning

A review of biochar as a low-cost adsorbent for aqueous heavy metal removal

Stochastic Gradient Markov Chain Monte Carlo

Optimal Subsampling for Large Sample Logistic Regression

Online Smooth Backfitting for Generalized Additive Models

On the state-of-the-art of particle methods for coastal and ocean engineering

Optimal Distributed Subsampling for Maximum Quasi-Likelihood Estimators With Massive Data

Joint optimisation of order batching and picker routing in the online retailer's warehouse in China

Multiple Imputation Through XGBoost

A Randomized Pairwise Likelihood Method for Complex Statistical Inferences

First-Order Newton-Type Estimator for Distributed Estimation and Inference

Material optimization of tri-directional functionally graded plates by using deep neural network and isogeometric multimesh design approach

Partition-Based Nonstationary Covariance Estimation Using the Stochastic Score Approximation

Bayesian Inference Using Synthetic Likelihood: Asymptotics and Adjustments

Dynamic Tensor Clustering

Novel reliability-based optimization method for thermal structure with hybrid random, interval and fuzzy parameters

Minimum-time velocity profile planning for planar motion considering velocity, acceleration and jerk constraints

Data-driven reduced-order models via regularised Operator Inference for a single-injector combustion process

Accelerated and Interpretable Oblique Random Survival Forests

Multiscale depthwise separable convolution based network for high-resolution image segmentation

Online Covariance Matrix Estimation in Stochastic Gradient Descent

Microstructure reconstruction using diffusion-based generative models

An ensemble model‐based method for estimating failure probability function with application in reliability‐based optimization

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