Qingpei Hu

A High-Order Saddlepoint Method for Bayesian System Evaluation

Zan Li, Yan Xin, Dan Yu, Qingpei Hu

cn, fi (code pays fourni par la source)

Enhancing in-cylinder flow dynamics through a variable tumble mechanism: A synergistic approach to improve combustion efficiency in unthrottled gasoline engines

Yuping Hu, Yiming Dong, Xiaoqing Tian, Shiying Liu et autres

cn (code pays fourni par la source)

Search for a $1^{-+}$ molecular state via $e^{+}e^{-} \to γD^{+}_{s} D_{s1}^{-}(2536) +c.c.$

BESIII Collaboration, M. Ablikim, M. N. Achasov, P. Adlarson et autres

We search, for the first time, for an exotic molecular state with quantum numbers $J^{PC}=1^{-+}$, called $X$, via the process $e^{+}e^{-} \to γD^{+}_{s} D_{s1}^{-}(2536) +c.c.$ using data samples corresponding to a luminosity of $5.8~\mathrm{fb^{-1}}$ across center-of-mass energies from 4.612 to 4.951~GeV, collected …

BiDepth: A Bidirectional-Depth Neural Network for Spatio-Temporal Prediction

Sina Ehsani, Feng Pan, Qingpei Hu, Jian Liu

Accurate spatial-temporal (ST) prediction for dynamic systems, such as urban mobility and weather patterns, is crucial but hindered by complex ST correlations and the challenge of concurrently modeling long-term trends with short-term fluctuations. Existing methods often falter in these areas. This paper …

Bidepth Multimodal Neural Network: Bidirectional Depth Deep Learning Architecture for Spatial-Temporal Prediction

Sina Ehsani, Feng Pan, Qingpei Hu, Jian Liu

us (code pays fourni par la source)

Novel subsampling strategies for heavily censored reliability data

Zan Li, Zhaohui Li, Dennis K. J. Lin, Qingpei Hu et autres

cn (code pays fourni par la source)

Novel Subsampling Strategies for Heavily Censored Reliability Data

Zan Li, Zhaohui Li, Dennis K. J. Lin, Qingpei Hu et autres

Computational capability often falls short when confronted with massive data, posing a common challenge in establishing a statistical model or statistical inference method dealing with big data. While subsampling techniques have been extensively developed to downsize the data volume, there is a …

Second-order WCF Approximation For System Reliability Assessment

Qingpei Hu, Dan Yu, Zan Li

In the field of reliability engineering, the quantification of a complex system’s reliability is a critical challenge. Basically, the system reliability is affected by the lifetime distributions of components and the structure of the system. We focus on the situation where only …

cn (code pays fourni par la source)

Minimizing UCB: a Better Local Search Strategy in Local Bayesian Optimization

Zheyi Fan, Wenyu Wang, Szu Hui Ng, Qingpei Hu

Local Bayesian optimization is a promising practical approach to solve the high dimensional black-box function optimization problem. Among them is the approximated gradient class of methods, which implements a strategy similar to gradient descent. These methods have achieved good experimental results and …

Multivariate $t$ Degradation Processes for Dependent Multivariate Degradation Data

Qifang Liu, Lu Jin, Hon Keung Tony Ng, Qingpei Hu et autres

Multiple performance characteristics (PCs) are common in modern products with complex structures and diverse functions. These PCs are usually dependent, with significant unit-specific variability among the multivariate degradation processes. Therefore, the associated degradation modeling for dependent multivariate degradation processes is important. This …

cn, jp, us (code pays fourni par la source)

Minimizing UCB: a Better Local Search Strategy in Local Bayesian Optimization

Zheyi Fan, Wenyu Wang, Sin-Chun Ng, Qingpei Hu

Bayesian Analysis of Lifetime Delayed Degradation Process for Destructive/Nondestructive Inspection

Siyi Chen, Zitong Lu, Qingpei Hu, Min Xie et autres

Degradation has become the dominant failure mode for highly reliable engineering systems. Cracking, a fatigue phenomenon composed of sequential phases of crack initiation and propagation, is a major concern for critical aircraft structures. Traditional fracture mechanics analysis cannot fully meet the requirements …

cn, hk (code pays fourni par la source)