Yuting Wei
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View article: Reactive nitrogen-driven atmospheric multiphase buffering induces unintended concomitant pollution
Reactive nitrogen-driven atmospheric multiphase buffering induces unintended concomitant pollution Open
Atmospheric multiphase buffering capacity is a crucial physicochemical property of aerosol that significantly influences the Earth's radiative budget, climate, air quality, and public health. However, its implications for air pollution rem…
View article: Letter to the Editor: Impact of the Prosigna assay on neoadjuvant treatment decision-making in patients with early-stage HR-positive/HER 2-negative breast cancer: a single-center prospective observational study
Letter to the Editor: Impact of the Prosigna assay on neoadjuvant treatment decision-making in patients with early-stage HR-positive/HER 2-negative breast cancer: a single-center prospective observational study Open
View article: A precision grading method for walnut leaf brown spot disease integrating hierarchical feature selection and dynamic multi-scale convolution
A precision grading method for walnut leaf brown spot disease integrating hierarchical feature selection and dynamic multi-scale convolution Open
Walnut leaf brown spot disease, caused by Ophiognomonia leptostyla , is among the most destructive fungal diseases in walnut cultivation. In the development of smart agriculture, precision grading of plant diseases remains a core technical…
View article: Transformers Meet In-Context Learning: A Universal Approximation Theory
Transformers Meet In-Context Learning: A Universal Approximation Theory Open
Large language models are capable of in-context learning, the ability to perform new tasks at test time using a handful of input-output examples, without parameter updates. We develop a universal approximation theory to elucidate how trans…
View article: Uncertainty quantification for Markov chain induced martingales with application to temporal difference learning
Uncertainty quantification for Markov chain induced martingales with application to temporal difference learning Open
We establish novel and general high-dimensional concentration inequalities and Berry-Esseen bounds for vector-valued martingales induced by Markov chains. We apply these results to analyze the performance of the Temporal Difference (TD) le…
View article: Task Memory Sinkhorn Neuralization under Varying Measure Distributions
Task Memory Sinkhorn Neuralization under Varying Measure Distributions Open
View article: Machine Learning Reveals the Synergistic Effects Among Multiple Driving Factors on Pm2.5 and Sia During Different Pollution Periods
Machine Learning Reveals the Synergistic Effects Among Multiple Driving Factors on Pm2.5 and Sia During Different Pollution Periods Open
View article: Denoising diffusion probabilistic models are optimally adaptive to unknown low dimensionality
Denoising diffusion probabilistic models are optimally adaptive to unknown low dimensionality Open
The denoising diffusion probabilistic model (DDPM) has emerged as a mainstream generative model in generative AI. While sharp convergence guarantees have been established for the DDPM, the iteration complexity is, in general, proportional …
View article: Statistical Inference for Temporal Difference Learning with Linear Function Approximation
Statistical Inference for Temporal Difference Learning with Linear Function Approximation Open
We investigate the statistical properties of Temporal Difference (TD) learning with Polyak-Ruppert averaging, arguably one of the most widely used algorithms in reinforcement learning, for the task of estimating the parameters of the optim…
View article: Stochastic Runge-Kutta Methods: Provable Acceleration of Diffusion Models
Stochastic Runge-Kutta Methods: Provable Acceleration of Diffusion Models Open
Diffusion models play a pivotal role in contemporary generative modeling, claiming state-of-the-art performance across various domains. Despite their superior sample quality, mainstream diffusion-based stochastic samplers like DDPM often r…
View article: Rare-earth-induced peroxo-phosphotungstates: Enhanced proton conductivity in corresponding membranes
Rare-earth-induced peroxo-phosphotungstates: Enhanced proton conductivity in corresponding membranes Open
Two rare-earth-induced peroxo-polyoxotungstates (peroxo-POTs), namely, two-dimensional [Ln2(H2O)4(OH)P2W6(O2)4O23]3− (2D-Ln2, Ln = Pr, Sm) and one-dimensional [Ln(H2O)4P4W6(O2)6(OH)4O24]5− (1D-Ln, Ln = Gd, Tb, Dy, Ho), were successfully pr…
View article: Hydrogen peroxide serves as pivotal fountainhead for aerosol aqueous sulfate formation from a global perspective
Hydrogen peroxide serves as pivotal fountainhead for aerosol aqueous sulfate formation from a global perspective Open
View article: Health-related quality of life in children with childhood acute myeloid leukemia in China: A five-year prospective study
Health-related quality of life in children with childhood acute myeloid leukemia in China: A five-year prospective study Open
View article: Accelerating Convergence of Score-Based Diffusion Models, Provably
Accelerating Convergence of Score-Based Diffusion Models, Provably Open
Score-based diffusion models, while achieving remarkable empirical performance, often suffer from low sampling speed, due to extensive function evaluations needed during the sampling phase. Despite a flurry of recent activities towards spe…
View article: Theoretical Insights for Diffusion Guidance: A Case Study for Gaussian Mixture Models
Theoretical Insights for Diffusion Guidance: A Case Study for Gaussian Mixture Models Open
Diffusion models benefit from instillation of task-specific information into the score function to steer the sample generation towards desired properties. Such information is coined as guidance. For example, in text-to-image synthesis, tex…
View article: Towards a mathematical theory for consistency training in diffusion models
Towards a mathematical theory for consistency training in diffusion models Open
Consistency models, which were proposed to mitigate the high computational overhead during the sampling phase of diffusion models, facilitate single-step sampling while attaining state-of-the-art empirical performance. When integrated into…
View article: A non-asymptotic distributional theory of approximate message passing for sparse and robust regression
A non-asymptotic distributional theory of approximate message passing for sparse and robust regression Open
Characterizing the distribution of high-dimensional statistical estimators is a challenging task, due to the breakdown of classical asymptotic theory in high dimension. This paper makes progress towards this by developing non-asymptotic di…
View article: Existence of solutions for asymptotically periodic quasilinear Schrödinger equations with local nonlinearities
Existence of solutions for asymptotically periodic quasilinear Schrödinger equations with local nonlinearities Open
This paper is concerned with the existence of positive solutions for asymptotically periodic quasilinear Schrödinger equations. By using a Nehari-type constraint and Moser iteration, we get the existence results which is a complement to th…
View article: The Impact of Carbon Emission Trading Scheme Policy on Information Asymmetry in the Stock Market: Evidence from China
The Impact of Carbon Emission Trading Scheme Policy on Information Asymmetry in the Stock Market: Evidence from China Open
View article: Gas-particle partitioning process contributes more to nitrate dominated air pollution than oxidation process in northern China
Gas-particle partitioning process contributes more to nitrate dominated air pollution than oxidation process in northern China Open
Nitrate has been recognized as a key aerosol component in regional haze formation in China. However, reducing nitrate aerosol concentration remains a major challenge. Generally, the formation of particulate nitrate (NO3-
View article: Knowledge-guided machine learning reveals pivotal drivers for gas-to-particle conversion of atmospheric nitrate
Knowledge-guided machine learning reveals pivotal drivers for gas-to-particle conversion of atmospheric nitrate Open
View article: Nomogram for prognosis of elderly patients with cervical cancer who receive combined radiotherapy
Nomogram for prognosis of elderly patients with cervical cancer who receive combined radiotherapy Open
View article: Approximate message passing from random initialization with applications to <i>Z</i> <sub>2</sub> synchronization
Approximate message passing from random initialization with applications to <i>Z</i> <sub>2</sub> synchronization Open
This paper is concerned with the problem of reconstructing an unknown rank-one matrix with prior structural information from noisy observations. While computing the Bayes optimal estimator is intractable in general due to the requirement o…
View article: Machine learning coupled structure mining method visualizes the impact of multiple drivers on ambient ozone
Machine learning coupled structure mining method visualizes the impact of multiple drivers on ambient ozone Open
Ground-level ozone affects Earth’s climate and human health. The formation of ozone is a complex process, depending on both atmospheric chemical processes and meteorological factors. In this study, machine learning coupled with a structure…
View article: Towards Faster Non-Asymptotic Convergence for Diffusion-Based Generative Models
Towards Faster Non-Asymptotic Convergence for Diffusion-Based Generative Models Open
Diffusion models, which convert noise into new data instances by learning to reverse a Markov diffusion process, have become a cornerstone in contemporary generative modeling. While their practical power has now been widely recognized, the…
View article: High-probability sample complexities for policy evaluation with linear function approximation
High-probability sample complexities for policy evaluation with linear function approximation Open
This paper is concerned with the problem of policy evaluation with linear function approximation in discounted infinite horizon Markov decision processes. We investigate the sample complexities required to guarantee a predefined estimation…
View article: The Curious Price of Distributional Robustness in Reinforcement Learning with a Generative Model
The Curious Price of Distributional Robustness in Reinforcement Learning with a Generative Model Open
This paper investigates model robustness in reinforcement learning (RL) to reduce the sim-to-real gap in practice. We adopt the framework of distributionally robust Markov decision processes (RMDPs), aimed at learning a policy that optimiz…
View article: Abundant nitrogen oxide and weakly acidic environment synergistically promote daytime particulate nitrate pollution
Abundant nitrogen oxide and weakly acidic environment synergistically promote daytime particulate nitrate pollution Open
View article: Intramural ectopic pregnancy at 21 weeks of gestation
Intramural ectopic pregnancy at 21 weeks of gestation Open
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View article: Optimization of the dimensional stability of paper‐based sandwich panels during the pressing process using design of experiments
Optimization of the dimensional stability of paper‐based sandwich panels during the pressing process using design of experiments Open
In this contribution, the causes leading to the undesired unevenness on the exterior surface of a paper‐based sandwich structure during the manufacturing process are investigated. This provides insight into the manufacturing parameters tha…