Wei Tang

ORCID: 0000-0003-2218-7526
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About
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Research Areas
  • Transportation and Mobility Innovations
  • Transportation Planning and Optimization
  • Smart Parking Systems Research
  • Phase-change materials and chalcogenides
  • Conducting polymers and applications
  • Thin-Film Transistor Technologies
  • Spectroscopy and Chemometric Analyses
  • Advanced Battery Technologies Research
  • Urban Transport and Accessibility
  • Remote Sensing and Land Use
  • Traffic control and management
  • Dielectric materials and actuators
  • Advanced Sensor and Energy Harvesting Materials
  • Electric Vehicles and Infrastructure
  • Advancements in Battery Materials
  • Smart Agriculture and AI
  • Advanced Semiconductor Detectors and Materials
  • Transition Metal Oxide Nanomaterials
  • Machine Learning in Healthcare
  • Geographic Information Systems Studies
  • Photonic Crystals and Applications
  • Synthesis and pharmacology of benzodiazepine derivatives
  • Human Mobility and Location-Based Analysis
  • Freezing and Crystallization Processes
  • Optical Coatings and Gratings

Guangxi University
2025

Shaanxi University of Science and Technology
2014-2024

Sichuan Agricultural University
2024

State Key Laboratory of Modern Optical Instruments
2023

Zhejiang University
1996-2023

Zhejiang Lab
2022-2023

Shanghai Maritime University
2023

Huazhong University of Science and Technology
2000-2022

Guiyang University
2022

Wuhan Children's Hospital
2022

Abstract Narrow bandgap materials have garnered significant attention within the field of broadband photodetection. However, performance is impeded by diminished absorption near bandgap, resulting in a rapid decline photoresponsivity mid‐wave infrared (MWIR) and long‐wave (LWIR) regions. Furthermore, they mostly worked cryogenic temperature. Here, without assistance any complex structure special environment, it realized high responsivity covering ultra‐broadband wavelength range (Ultraviolet...

10.1002/advs.202302886 article EN cc-by Advanced Science 2023-12-08

Abstract With the development of flexible wearable devices, conductive hydrogels have attracted widespread attention due to their unique properties. However, traditional often suffer from poor mechanical properties and environmental stability, greatly limiting application areas. Herein, a dynamic hydrophobically associated organo‐hydrogel network, which is composed polymer chain backbone (acrylamide lauryl methacrylate), dispersant (sodium dodecyl sulfate), filler (lithium...

10.1002/adfm.202505265 article EN Advanced Functional Materials 2025-04-04

To address the real-time detection challenge of deploying deep learning-based tomato leaf disease algorithms on embedded devices, an improved algorithm based YOLOv8n is proposed in this paper. It able to achieve efficient, diseases while maintaining model’s lightweight requirements. The incorporated LMSM (lightweight multi-scale module) and ALSA (Attention Lightweight Subsampling Module) improve ability extract semantic information for specific characteristics disease, which include...

10.3390/agronomy14092069 article EN cc-by Agronomy 2024-09-10

Kiwifruit, as a climacteric fruit, undergoes rapid ripening and senescence after harvest, making it highly susceptible to softening, rotting, spoilage. Therefore, monitoring the key quality parameters of kiwifruit, particularly accurate detection soluble solids content (SSC), is considered crucial. The performance two spectral acquisition methods—diffuse reflectance diffuse transmission—in detecting SSC in kiwifruit was compared. Various preprocessing methods feature wavelength selection...

10.3390/app142110001 article EN cc-by Applied Sciences 2024-11-01

Under the influence of coronavirus disease and other factors, agricultural product prices show non-stationary non-linear characteristics, making it increasingly difficult to forecast accurately. This paper proposes an innovative combinatorial model for Chinese hog price forecasting. First, is decomposed using Seasonal Trend decomposition Loess (STL) model. Next, data are trained with Long Short-term Memory (LSTM) Autoregressive Integrated Moving Average (SARIMA) models. Finally, prepared...

10.3233/jifs-235843 article EN Journal of Intelligent & Fuzzy Systems 2024-03-26

Abstract Despite the rapid development of electric vehicles (EVs), limited range and accessibility charging infrastructure are still obstacles to EVs. At present, Chinese government has made great efforts set up stations most popular construction mode in China is divide a certain proportion parking spaces lot build charge piles. The for every same recommended by government, which one-size-fits-all strategy. Nevertheless, with growth EVs, some challenges arise such as how improve facilities...

10.1007/s40747-022-00845-z article EN cc-by Complex & Intelligent Systems 2022-08-22

The Ge <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">100-x</sub> Cu xmlns:xlink="http://www.w3.org/1999/xlink">x</sub> thin films (x=50 at.%-69 at.%) were deposited on nature oxidized Si (100) wafer by dc co-sputtering of and targets. Microstructures was analyzed X-ray diffractometer. optical thermal properties measured from static test. It found that the as-deposited phase single supersaturated epsiv-Cu...

10.1109/tmag.2006.888463 article EN IEEE Transactions on Magnetics 2007-01-23

The 5-(4-carboxylatomethoxy)phenyl-10,15,20-triphenyl porphyrin ( H 2 Pp ) and its transition metal complex (MPp, M = Zn 2+ , Co Ni Cu were synthesized characterized by IR, UV-vis, MS elementary analysis. Electrocatalytic effects associated with the reduction of thionyl chloride in a lithium/thionyl Li / SOCl battery containing are evaluated relative energy discharge time. results indicate that catalyzed CuPp ZnPp is 103.7%, 106.3%, respectively, higher than absence porphyrins. whose...

10.1142/s1088424614500011 article EN Journal of Porphyrins and Phthalocyanines 2014-01-22

Abstract To explore the relevance between bus stops and make real‐time prediction of passenger flow more accurate, this paper proposes a Traffic Forecast Model based on Attention mechanism (TFMA). The model combines data preprocessing with stops’ information coding to predict short‐term stops. First all, conducts statistical analysis actual public transportation card Suzhou, China, obtains characteristics different Secondly, route stop information, rate change, weather, date, other related...

10.1049/itr2.12302 article EN cc-by-nc IET Intelligent Transport Systems 2022-10-26

Due to the expanding capabilities and pre-training data, Large Language Models (LLMs) are facing increasingly serious evaluation challenges. On one hand, data leakage issue cause over-estimation on existing benchmarks. other periodically curating datasets manually is costly. In this paper, we propose automate dataset updates for reliable timely evaluation. The basic idea generate unseen high-quality testing samples based ones mitigate issues. specific, two strategies with systematically...

10.48550/arxiv.2402.11894 preprint EN arXiv (Cornell University) 2024-02-19

Aiming at the problems of small LCD display defects and low contrast, which are easy to be confused with background lead unsatisfactory detection effect, a liquid crystal defect algorithm based on YOLOv8s was proposed. Firstly, new CBLGhost module is pro-posed facilitate design core GhostNet network, uses operation convolution linear change generate feature map, effectively reducing computing resources re-quired by model. Secondly, HorNet introduced into neck network realize modeling...

10.62051/ijcsit.v4n1.02 article EN International Journal of Computer Science and Information Technology 2024-09-13
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