Dong Li

ORCID: 0000-0001-7197-1240
Publications
Citations
Views
---
Saved
---
About
Contact & Profiles
Research Areas
  • Quantum Dots Synthesis And Properties
  • Organic Light-Emitting Diodes Research
  • Organic Electronics and Photovoltaics
  • Chalcogenide Semiconductor Thin Films
  • Nanocluster Synthesis and Applications
  • Thin-Film Transistor Technologies
  • Conducting polymers and applications
  • Nanowire Synthesis and Applications
  • ZnO doping and properties
  • Odor and Emission Control Technologies
  • Financial Risk and Volatility Modeling
  • Advancements in Battery Materials
  • Perovskite Materials and Applications
  • Industrial Gas Emission Control
  • Semiconductor materials and devices
  • Advanced Battery Materials and Technologies
  • Speech Recognition and Synthesis
  • Advanced biosensing and bioanalysis techniques
  • Speech and Audio Processing
  • Anaerobic Digestion and Biogas Production
  • Semiconductor Quantum Structures and Devices
  • Carbon and Quantum Dots Applications
  • Extraction and Separation Processes
  • Advanced oxidation water treatment
  • Statistical Distribution Estimation and Applications

BOE Technology Group (China)
2019-2024

Beijing University of Technology
2007-2024

Dalian University of Technology
2013-2024

China Mobile (China)
2023

Ningbo University
2020-2023

Xi'an University of Technology
2023

Huazhong University of Science and Technology
2023

Shandong Institute of Food and Drug Inspection
2023

Tsinghua University
2010-2022

Changzhou University
2021

Organic-inorganic hybrid photodetectors attract considerable attention because they can combine the advantages of both organic and inorganic systems. Here, a perovskite compound with broad absorption spectrum high power conversion efficiency is used as photosensitive layer in an organic/inorganic heterojunction photodetector fast response. The sensitivity exceeding 104 obtained at bias 0–4 V. Using tandem light-emitting diode (OLED) light source, we fabricated optocoupler device. achieved...

10.1038/srep07902 article EN cc-by-nc-sa Scientific Reports 2015-01-20

In this work, we address the problem of unsupervised domain adaptation for person re-ID where annotations are available source but not target. Previous methods typically follow a two-stage optimization pipeline, network is first pre-trained on and then fine-tuned target with pseudo labels created by feature clustering. Such sustain two main limitations. (1) The label noise may hinder learning discriminative features recognizing classes. (2) gap knowledge transferring from to We propose three...

10.1109/iccv48922.2021.00841 article EN 2021 IEEE/CVF International Conference on Computer Vision (ICCV) 2021-10-01

Abstract Red‐light photodetectors without filters are in urgent need for narrowband applications such as full‐color imaging and multi‐output visible light communication (VLC). However, their development is hindered by the lack of small‐band‐gap response materials. Without wavelength filters, a new type photodetector with simple single‐layer architecture developed, based on stable squarylium dye characterized detectivity peak at 680 nm full width half maximum 80 nm. The device, which exhibits...

10.1002/lpor.201500279 article EN Laser & Photonics Review 2016-03-08

Due to the inherent toxicity of cadmium selenide (CdSe)-based quantum dots (QDs), Cd-free alternatives are being widely investigated. Indium phosphide (InP) QDs have shown great potential as a replacement for CdSe in display applications. However, performance InP-based dot light-emitting diodes (QLEDs) is still far behind that CdSe-based devices. In this study, we wanted show effects different approaches improving QLED We investigated effect magnesium (Mg) doping ZnO nanoparticles, which...

10.1021/acsami.9b07437 article EN ACS Applied Materials & Interfaces 2019-08-23

This paper studies the covariance matrix estimation for high-dimensional time series within a new framework that combines low-rank factor and latent variable-specific cluster structures. The popular methods based on assuming sparse error after taking out common factors may be invalid many financial applications. Our formulation postulates model-based structure removing observable factors, which not only leads to more interpretable patterns but also accounts non-sparse cross-sectional...

10.48550/arxiv.2501.10942 preprint EN arXiv (Cornell University) 2025-01-18

Silver clusters encased within zeolites (Ag-zeolites) are preferred by researchers for their remarkable luminescent characteristics. Nonetheless, developing silver-loaded via simple and efficient ways remains challenges. In this work,...

10.1039/d5nj00735f article EN New Journal of Chemistry 2025-01-01

This article first proposes a score-based test for double autoregressive model against threshold (AR) model. It is an asymptotically distribution-free and easy to implement in practice. The further studies the quasi-maximum likelihood estimation of shown that estimated n-consistent converges weakly functional two-sided compound Poisson process remaining parameters are normal. Our results include asymptotic theory estimator AR models with conditional heteroscedastic (ARCH) errors ARCH as...

10.1080/07350015.2014.1001028 article EN Journal of Business and Economic Statistics 2015-02-12

A high-performance quantum dot light-emitting diode (QLED) with heavy metal free (HMF) dots (QDs) is urgently needed for its application in next-generation eco-friendly displays. However, the preparation of HMF QD materials and corresponding electroluminescent devices remain challenges at present, especially blue-emitting devices. In this work, by adjusting Te/Se ratio ZnSeTe core, ZnSeTe/ZnSe/ZnS blue QDs adjustable energy levels emission peaks are demonstrated. These utilized to fabricate...

10.1021/acs.jpclett.3c00307 article EN The Journal of Physical Chemistry Letters 2023-03-06

Threshold models have been popular for modelling nonlinear phenomena in diverse areas, part due to their simple fitting and often clear model interpretation.A commonly used approach fit a threshold is the (conditional) least squares method, which standard grid search typically requires O(n) operations sample of size n; this substantial large n, especially context panel time series.This paper proposes novel nested subsample algorithm, reduces number drastically O(log n) size.We demonstrate...

10.5705/ss.2013.394t article EN Statistica Sinica 2015-04-14
Coming Soon ...