Wei Tu

ORCID: 0000-0001-7031-9189
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About
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Research Areas
  • Web Data Mining and Analysis
  • Statistical Methods and Inference
  • Data Management and Algorithms
  • Information Retrieval and Search Behavior
  • Topic Modeling
  • Sparse and Compressive Sensing Techniques
  • Cancer Immunotherapy and Biomarkers
  • Complex Network Analysis Techniques
  • Semantic Web and Ontologies
  • Colorectal and Anal Carcinomas
  • Technology Adoption and User Behaviour
  • HIV Research and Treatment
  • Intracerebral and Subarachnoid Hemorrhage Research
  • Recommender Systems and Techniques
  • Advanced Statistical Methods and Models
  • Statistical Methods and Bayesian Inference
  • Cancer Diagnosis and Treatment
  • Advanced Neuroimaging Techniques and Applications
  • Blind Source Separation Techniques
  • Advanced Computational Techniques and Applications
  • Technology and Security Systems
  • Autonomous Vehicle Technology and Safety
  • Stochastic Gradient Optimization Techniques
  • Wireless Sensor Networks and IoT
  • Cancer Genomics and Diagnostics

Georgia Southern University
2025

Queen's University
2021-2024

Shenzhen University
2023-2024

Johns Hopkins University
2023

Shenzhen Third People’s Hospital
2023

Johns Hopkins Medicine
2023

University of Alberta
2018-2021

Jiangxi Science and Technology Normal University
2011-2019

Tsinghua University
2018

Wuhan University
2015-2016

Despite the rapidly growing interest in Bayesian inference, recent publications reveal common issues that suggest even experienced researchers across disciplines, including geospatial research, may not always follow proper procedure conducting analysis and report results. This study aims to promote inference best practice guidelines of analysis, targeting beginners community. We selected multilevel model (BMLM) demonstrate through a case examining effect neighbourhood-level social...

10.1080/19475683.2025.2451230 article EN cc-by-nc Annals of GIS 2025-01-11

As the automobile industry evolves, a number of in-vehicle communication protocols are developed for different applications. With emerging new applications towards Internet Things (IoT), more integral solution is needed to enable pervasiveness intra- and inter-vehicle communications. In this survey, we first introduce classifications with focus on their bandwidth latency. Then survey bus including both legacy Ethernet. addition, highlight our contribution in field employ power line as...

10.1109/wf-iot.2015.7389040 article EN 2015-12-01

Both genetic and lifestyle factors contribute to the development of asthma, but whether unfavourable is associated with similar increases in risk developing asthma among individuals varying levels remains unknown.A healthy score was constructed using body mass index, smoking status, physical activities dietary pattern further categorise into ideal, intermediate poor groups. Genetic also categorised as three groups based on tertiles polygenic established 212 reported verified...

10.1183/23120541.00499-2022 article EN cc-by-nc ERJ Open Research 2023-03-01

TPS6114 Background: Lymphatic mapping identifies neck lymph nodes at risk for cancer spread in patients with lateralized oropharyngeal (OPC) squamous cell carcinoma. We hypothesize that a lymphatic guided approach to radiotherapy (RT) treatment of the contralateral will enable safe de-escalation therapy acceptable disease control potential benefits RT related toxicity, QOL, swallowing function and economics. Methods: HN.11 is Canadian Cancer Trials Group international multi-centre,...

10.1200/jco.2023.41.16_suppl.tps6114 article EN Journal of Clinical Oncology 2023-06-01

Recently, live streaming is gaining increasing en- thusiasm, like Twitch, Inke and YouTube. Online streamers can interact with viewers in real time platforms audio, video text. The virtual gift one of the most important business models for these platforms. purchase send gifts to during process. These behaviors have great market potential economic value, but little previous research paid attention about this. In this paper, we measured basic information behavior users on a large...

10.1109/mipr.2018.00028 article EN 2019 IEEE Conference on Multimedia Information Processing and Retrieval (MIPR) 2018-04-01

We consider the problem of estimation and variable selection for general linear regression models. Regularized procedures have been widely used selection, but most existing methods perform poorly in presence outliers. construct a new penalized procedure that simultaneously attains full efficiency maximum robustness. Furthermore, proposed satisfies oracle properties. The is designed to achieve sparse robust solutions by imposing adaptive weights on both decision loss penalty function. method...

10.1177/0962280218757560 article EN Statistical Methods in Medical Research 2018-02-16

Objective: Peripheral neuropathies (PNPs) in HIV-infected patients are highly debilitating because of neuropathic pain and physical disabilities. We defined prevalence associated predictive variables for PNP subtypes a cohort persons living with HIV. Design: Adult HIV clinical care were recruited to longitudinal study examining neurological complications. Methods: Each patient was assessed symptoms signs demographic, laboratory, variables. Univariate, multiple logistic regression machine...

10.1097/qad.0000000000002955 article EN AIDS 2021-05-25

10.1016/j.csda.2022.107584 article EN Computational Statistics & Data Analysis 2022-08-04

Since the sure independence screening (SIS) method by Fan and Lv, many different variable methods have been proposed based on measures under models. However, most of these are designed for specific In practice, we often very little information about data generating process can result in sets features. The heterogeneity presented here motivates us to combine various simultaneously. this paper, introduce a general ensemble-based framework efficiently results from multiple methods. consistency...

10.24963/ijcai.2019/501 article EN 2019-07-28

With the further development of e-government, it is urgent to solve problem insufficient information resource sharing, reducing network risks and improving efficiency e-government use. its flexibility, scalability, reliability, low cost, cloud computing can efficiently process massive amounts data has been fully utilized in e-government. This paper mainly deals with how use model reduce cost risk sharing management, so as improve operational management.

10.1109/icsgea.2019.00073 article EN 2018 International Conference on Smart Grid and Electrical Automation (ICSGEA) 2019-08-01

Many problems in science and engineering can be reduced to the recovery of an unknown large matrix from a small number random linear measurements. Matrix factorization arguably is most popular approach for low-rank recovery. methods have been proposed using different loss functions, example widely used L <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sub> loss, more robust choices such as xmlns:xlink="http://www.w3.org/1999/xlink">1</sub>...

10.1109/icdm.2019.00067 article EN 2021 IEEE International Conference on Data Mining (ICDM) 2019-11-01

Deviations from Hardy-Weinberg Equilibrium (HWE) are not solely rooted in biological or genetic factors; sequencing errors play a significant role. Previous studies have underscored extreme heterozygote excess (HetExc) for specific variants unstable genomic regions, suggesting the influence of instability on observed deviations HWE. Given importance occurring coding regions germline and somatic variant classification, this study focuses identifying intervals within human exome enriched...

10.1016/j.gimo.2024.101534 article EN cc-by-nc-nd Genetics in Medicine Open 2024-01-01

Abstract Hematoma and edema volume are potential predictors of 30‐day mortality rate functional outcome (degree disability or dependence in daily activities after a stroke) for patients with intracerebral hemorrhage. The manual segmentation hematoma from computed tomography scans is common practice but time‐consuming labor‐intensive task. Automated an appealing alternative, it challenging because the poorly defined boundary between surrounding healthy brain tissue. There limited literature...

10.1002/asmb.2431 article EN Applied Stochastic Models in Business and Industry 2019-01-21

Mobile e-commerce (m-commerce) is not only the application of superimposed E-commerce by mobile terminal.Characterized flexibility, simplicity and convenience, it popular with consumers brings new development opportunities for enterprises.In order to solve problems that low personalized customer service are provided M-commerce market, paper put forward business intelligence should be brought into enterprise information construction.Through use intelligence, users can fractionized,...

10.2991/iaw-sc.2013.71 article EN cc-by-nc 2013-01-01
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