Weizhi Li

ORCID: 0009-0006-3587-8317
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About
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Research Areas
  • Organic Light-Emitting Diodes Research
  • Conducting polymers and applications
  • Organic Electronics and Photovoltaics
  • Advanced Sensor and Energy Harvesting Materials
  • Gas Sensing Nanomaterials and Sensors
  • Thin-Film Transistor Technologies
  • Transition Metal Oxide Nanomaterials
  • Terahertz technology and applications
  • Synthesis and properties of polymers
  • GaN-based semiconductor devices and materials
  • Photonic and Optical Devices
  • Advanced Image and Video Retrieval Techniques
  • Luminescence and Fluorescent Materials
  • Photosynthetic Processes and Mechanisms
  • Algal biology and biofuel production
  • Epoxy Resin Curing Processes
  • ZnO doping and properties
  • Biocrusts and Microbial Ecology
  • Acoustic Wave Resonator Technologies
  • Spectroscopy and Laser Applications
  • Superconducting and THz Device Technology
  • Cancer-related molecular mechanisms research
  • Robotic Path Planning Algorithms
  • Semiconductor materials and devices
  • Topological and Geometric Data Analysis

University of Electronic Science and Technology of China
2015-2025

Beijing University of Posts and Telecommunications
2021-2025

Hubei Normal University
2022-2025

Lanzhou University of Technology
2025

Los Alamos National Laboratory
2024

Arizona State University
2020-2024

First Affiliated Hospital of Xi'an Jiaotong University
2024

National Engineering Research Center of Electromagnetic Radiation Control Materials
2012-2023

Northeast Forestry University
2023

Hebei University of Engineering
2023

The limited sensitivity of photovoltaic-type photodiodes makes it indispensable to use pre-amplifier circuits for effectively extracting electrical signals, especially when detecting dim light. Additionally, the photomultiplication with light amplification function suffer from potential damages caused by high power consumption under strong In this work, adopting synergy strategy thermal-induced interfacial structural traps and blocking layers, we develop a dual-mode visible-near infrared...

10.1038/s41467-023-42742-0 article EN cc-by Nature Communications 2023-10-31

The speed of travelling azimuthal waves on Taylor vortices in a circular Couette system (with the inner cylinder rotating and outer at rest) has been determined laboratory experiments conducted as function Reynolds number R, radius ratio cylinders η, average axial wavelength $\overline{\lambda}$ , m 1 aspect Γ (the fluid height to gap between cylinders). Wave speeds have also numerically for axially periodic flows infinite-length by solving Navier-Stokes equation with pseudospectral...

10.1017/s0022112084000896 article EN Journal of Fluid Mechanics 1984-04-01

A novel strain sensor based on reduced graphene oxide with ultra-sensitive and ultra-durable performance was fabricated by the chemical layer-by-layer self-assembly method.

10.1039/c7tc01872j article EN Journal of Materials Chemistry C 2017-01-01

We present a novel computational model for simultaneous image co-saliency detection and co-segmentation that concurrently explores the concepts of saliency objectness in multiple images. It has been shown via aggregating proposals by diverse visual cues can better highlight salient objects; however, optimal are typically region-dependent fusion process often leads to blurred results. Co-segmentation help preserve object boundaries, but it may suffer from complex scenes. To address these...

10.1109/tip.2018.2861217 article EN publisher-specific-oa IEEE Transactions on Image Processing 2018-09-20

A series of new biobased benzoxazine monomers were synthesized by reacting amino acid methyl ester and disphenolic ester/eugenol (E) with paraformaldehyde Mannich condensation reaction. The chemical structures these biobenzoxazine characterized 1H NMR, 13C mass spectrum, Fourier transform infrared (FTIR). Their curing behaviors examined differential scanning calorimetry (DSC) FTIR spectroscopy. Thermogravimetric analysis was utilized to evaluate the thermal stability polybenzoxazines....

10.1021/acssuschemeng.9b04163 article EN ACS Sustainable Chemistry & Engineering 2019-09-26

Semantic communication has served as a novel paradigm and attracted broad interest from researchers. One critical aspect of it is the multi-user semantic theory, which can further enhance its application for practical network environment. While most existing works have focused on design end-to-end single-user transmission, non-orthogonal multiple access (NOMA)-based system named NOMASC proposed in this study. The support transmission users with diverse modalities source information. To avoid...

10.1109/tccn.2023.3306852 article EN IEEE Transactions on Cognitive Communications and Networking 2023-08-21

Despite many recent advances in genotype characterization of Enterocytozoon bieneusi worldwide and the exploration extent cross-species transmission microsporidiosis between humans animals, epidemiology this neglected disease China is poorly understood. In study, a very high prevalence (60.3%; 94/156) E. infections farmed pigs Jilin province was detected by PCR ribosomal internal transcribed spacer (ITS). DNA sequence analysis 88 bieneusi-positive specimens identified 12 distinct genotypes...

10.1371/journal.pone.0097623 article EN cc-by PLoS ONE 2014-05-20

Flexible pressure sensors (FPS) have shown wide applications in artificial robotics, wearable devices, electronic skins, and biomedical systems; however, complicated procedures like micromachining micromolding are often involved to achieve high performance of the sensor. In this work, a novel capacitive FPS was prepared by using silver nanowire (AgNW)-paper substrates as electrodes polydimethylsiloxane (PDMS) dielectrics, results revealed that sensitivity dynamic range as-prepared sensor...

10.1186/s11671-019-3014-y article EN cc-by Nanoscale Research Letters 2019-05-29

Hypothesis testing is a statistical inference approach used to determine whether data supports specific hypothesis. An important type the two-sample test, which evaluates two sets of points are from identical distributions. This test widely used, such as by clinical researchers comparing treatment effectiveness. tutorial explores in context where an analyst has many features samples, but determining sample membership (or labels) these costly. In machine learning, similar scenario studied...

10.48550/arxiv.2501.03568 preprint EN arXiv (Cornell University) 2025-01-07

Unlike image classification and annotation, for which deep network models have achieved dominating superior performances compared to traditional computer vision algorithms, learning automatic segmentation still faces critical challenges. One of such hurdles is obtain ground-truth segmentations as the training labels training. Especially when we study biomedical images, histopathological images (histo-images), it unrealistic ask manual ground truth due fine resolution well large size...

10.48550/arxiv.2501.07163 preprint EN arXiv (Cornell University) 2025-01-13

<title>Abstract</title> Landslide disasters are common in the mountainous regions of western China, making accurate classification landslide hazard risk levels essential for effective geological disaster management. Data-driven models have achieved notable advancements susceptibility evaluation. However, they still encounter challenges such as a lack dynamic feature data and an over-reliance on sample quality, which limits their effectiveness large-scales. To address these issues, this paper...

10.21203/rs.3.rs-5755339/v1 preprint EN cc-by Research Square (Research Square) 2025-01-24

In this paper, we address the task of characterizing chemical composition planetary surfaces using convolutional neural networks (CNNs). Specifically, seek to predict multi-oxide weights rock samples based on spectroscopic data collected under Martian conditions. We frame problem as a multi-target regression and propose novel regularization method f-divergence. The f-divergence is designed constrain distributional discrepancy between predictions noisy targets. This regularizer serves dual...

10.48550/arxiv.2502.03755 preprint EN arXiv (Cornell University) 2025-02-05

Hydrogen detection plays a crucial role in various scenes of hydrogen energy such as vehicles, transportation and storage. It is essential to develop system with ultrafast response times (<1 s) for the timely leaks. Here we report an (0.4 based on wafer-scale fabrication process. consists low power (20.2 mW) sensor vertical thermal conduction structure signal processing circuit introduced neural network prediction algorithm The fabricated exhibits rapid response, wide range, operating...

10.1021/acssensors.4c03487 article EN ACS Sensors 2025-03-11

In the machine learning problems, performance measure is used to evaluate models. Recently, number positive data points ranked at top positions (Pos@Top) has been a popular in community. this paper, we propose learn convolutional neural network (CNN) model maximize Pos@Top measure. The CNN represent multi-instance point, and classifier function predict label from its representation. We minimize loss of over training set filters parameter. parameter vector solved by Lagrange multiplier...

10.48550/arxiv.1609.08417 preprint EN other-oa arXiv (Cornell University) 2016-01-01

Polyvinylidene fluoride (PVDF) films possess multifunctional ability for piezo/pyro/ferroelectronic applications. One critical challenge of the traditional techniques is complicated fabrication process obtaining poled films. In this work, PVDF film facilely prepared by solution cast on hydrophilically treated substrates. The obtained exhibit fairly good pyroelectricity comparable to those fabricated thermal poling, indicating self-polarized. This result attributed hydrogen-bonding-induced...

10.1186/s11671-019-2906-1 article EN cc-by Nanoscale Research Letters 2019-02-28

Abstract Population and water withdrawal data sets are currently faced with difficulties in collecting, processing verifying multi-source time series, the spatial distribution characteristics of long series also relatively lacking. Time is basic guarantee for accuracy sets, production a realistic requirement to expand application scope sets. Through time-consuming laborious work, this research focuses on population intake interpolates extends them specific land uses ensure demand spatially...

10.1038/s41597-022-01760-1 article EN cc-by Scientific Data 2022-10-21

Research on room temperature terahertz (THz) detector is essential for promoting the application of THz science and technology. Both lithium tantalate crystal (LiTaO3) thin film were used to fabricate in this paper. Polishing process reduce thickness LiTaO3 slice by chemical mechanical polishing techniques an improved sol-gel was obtain high concentration precursor solution film. Three dimension models two detectors set up increasing map devices simulated using finite element method. The...

10.1063/1.4865097 article EN cc-by AIP Advances 2014-02-01

Flexible ultrasensitive strain sensors are highly desirable in view of their widespread applications wearable electronics, health monitoring systems, and smart robots, where subtle detection is required. However, traditional fabrication such was done to prepare sensitive layers on bare or single-sided structural substrates, leading limited sensitivity. Herein, a stretchable resistive-type sensor demonstrated by self-assembling conductive networks onto monolithic polydimethylsiloxane...

10.1021/acsami.9b14476 article EN ACS Applied Materials & Interfaces 2019-10-28
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