Yujie Luo

ORCID: 0000-0003-1006-4342
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About
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Research Areas
  • Quantum Computing Algorithms and Architecture
  • Molecular Sensors and Ion Detection
  • Quantum Information and Cryptography
  • Analytical chemistry methods development
  • Mass Spectrometry Techniques and Applications
  • Radiomics and Machine Learning in Medical Imaging
  • Advanced biosensing and bioanalysis techniques
  • Quantum optics and atomic interactions
  • Advanced Frequency and Time Standards
  • Monoclonal and Polyclonal Antibodies Research
  • Quantum and electron transport phenomena
  • Analytical Chemistry and Chromatography
  • Breast Implant and Reconstruction
  • Multi-Agent Systems and Negotiation
  • Gas Sensing Nanomaterials and Sensors
  • Network Time Synchronization Technologies
  • Breast Lesions and Carcinomas
  • Sarcoma Diagnosis and Treatment
  • Data Stream Mining Techniques
  • Molecular Communication and Nanonetworks
  • Quantum-Dot Cellular Automata
  • Oral and Maxillofacial Pathology
  • Advanced Nanomaterials in Catalysis
  • Supramolecular Chemistry and Complexes
  • Digital Media Forensic Detection

Sichuan University
2023-2025

Southwestern Institute of Physics
2022-2025

Yunnan University
2024

Southwest University
2022-2023

West China Hospital of Sichuan University
2023

Soochow University
2023

China University of Geosciences
2022

Affiliated Hospital of North Sichuan Medical College
2019

Guizhou University
2016

Metal organic frameworks (MOFs) constructed with bismuth metal have not been widely reported, especially multifunctional Bi-MOFs. Therefore, developing MOFs is of great significance due to the increasing requirements materials. In this work, a 3D Bi-MOF (Bi-TCPE) multifunctionality was successfully constructed, demonstrating high thermal stability, water porous structure, and strong blue fluorescence emission. We evaluated properties Bi-TCPE in detecting anions (S2-, Cr2O72-, CrO42-) aqueous...

10.1021/acsami.4c07878 article EN ACS Applied Materials & Interfaces 2024-06-21

This study assessed the efficacy of percutaneous contrast-enhanced ultrasound (CEUS) in localization sentinel lymph node (SLNs) for biopsy and diagnosis metastatic SLNs patients with early breast cancer. From January to November 2017, seventy-five cancer confirmed by pathology were enrolled this study. CEUS was performed after subdermal injection contrast agent (SonoVue, 2.0 ml total dose) around areola on ipsilateral side breast. The lymphatic vessels associated observed traced real time....

10.1038/s41598-019-49736-3 article EN cc-by Scientific Reports 2019-09-19

Abstract Background This study aims to explore machine learning(ML) methods for non-invasive assessment of WHO/ISUP nuclear grading in clear cell renal carcinoma(ccRCC) using contrast-enhanced ultrasound(CEUS) radiomics. Methods retrospective included 122 patients diagnosed as ccRCC after surgical resection. They were divided into a training set ( n = 86) and testing set( 36). CEUS radiographic features extracted from images, XGBoost ML models (US, CP, MP model) with independent at different...

10.1186/s12880-024-01317-1 article EN cc-by BMC Medical Imaging 2024-06-06

Two-way fiber-optic time transfer (TWFTT) is a promising precise synchronization technique with subnanosecond stability. However, the asymmetric delay attack severe threat, which can deteriorate performance of TWFTT system. In this article, clock model-based scheme used to defend attack. For scheme, security threshold set according two-state model, and estimated frequency difference excluded from measured detect Systematic detection mitigation for developed in article. Theoretical simulation...

10.1109/tim.2023.3268476 article EN cc-by IEEE Transactions on Instrumentation and Measurement 2023-01-01

We aimed to investigate perineal nerve block versus periprostatic in pain control for men undergoing a transperineal prostate biopsy.In this prospective, randomised, blinded and parallel-group trial, six Chinese hospitals with suspected cancer were randomly assigned (1:1) at the point of local anaesthesia receive or followed by biopsy. Centres used their usual biopsy procedure. Operators who performed trained both techniques before trial masked randomised allocation until time not involved...

10.1016/j.eclinm.2023.101919 article EN cc-by-nc-nd EClinicalMedicine 2023-03-23

Abstract Protein-protein interactions are the basis for formation of protein complexes which essential almost all cellular processes. Knowledge structures is major importance understanding biological function these protein-protein and designing drugs. Here we address problem rigid docking assumes no deformation involved proteins during interactions. We develop a method called, xTrimoDock, leverages cross-modal representation learning to predict distance map, then uses spectral initialization...

10.1101/2023.02.06.527251 preprint EN bioRxiv (Cold Spring Harbor Laboratory) 2023-02-06

More than Mbps secret key rate was demonstrated for continuous-variable quantum distribution (CV-QKD) systems, but real-time postprocessing is not allowed, which restricted by the throughput of error correction decoding in postprocessing. In this paper, a high-throughput FPGA-based quasi-cyclic LDPC decoder proposed and implemented to support generation CV-QKD first time. A residual bit algorithm used solve problem high frame errors (FER) caused limited precision decoder. Specifically,...

10.48550/arxiv.2207.01860 preprint EN other-oa arXiv (Cornell University) 2022-01-01

Biomacromolecules have been employed successfully as fluorescence anisotropy (FA) amplifiers for biosensing in reported studies. However, the sensitivities of traditional biomacromolecule amplified FA strategies need to be improved because relatively low molecular weight or volume a single and 1:1 binding ratio between fluorophore-linked probe target. In this work, DNA dendrimer with high was new amplifier, which coupled target-catalyzed hairpin assembly (CHA) sensitive detection miRNA-21....

10.3390/chemosensors10120501 article EN cc-by Chemosensors 2022-11-27

The throughput of error correction is one the main bottlenecks high-speed continuous variable quantum key distribution (CV-QKD) post-processing, which directly restricts practical secret rates (SKR). Implementing decoder low-density parity-check (LDPC) codes based on FPGA in limited precision can improve decoding significantly. In this paper, a high-throughput architecture with for quasi-cyclic LDPC (QC-LDPC) proposed. particular, two typical codes, code 0.2 and 0.1, CV-QKD have been...

10.1117/12.2687070 article EN 2023-10-12

Giant cell tumors (GCTs) of the bone are locally aggressive primary with a benign character. Spinal involvement is rare which accounts for approximately 5% all and it quite in lumbar spine. An 11-year-old boy patient presented pain low back bilateral extremities. Lumbar CT MRI revealed lytic lesion L4 vertebra corpus. The earned remarkable timely recovery 2 surgical interventions use denosumab. Surgical resection GCTs still preferable as initial treatment, denosumab should be utilized after...

10.1016/j.neuchi.2023.101427 article EN cc-by-nc-nd Neurochirurgie 2023-02-23

Enzyme-linked immunosorbent assay (ELISA) is one of the most commonly used method for detection staphylococcal enterotoxin B (SEB), main protein toxin causing food poisoning. However, traditional ELISA reaction needs to be stopped by sulfuric acid obtain stable colorimetric signal, and it easily influenced a colored sample. In order address this problem, new using zeolite imidazolate skeleton-8 metal-organic framework (ZIF-8 MOF) as light scattering (LS) reporter SEB was developed in work....

10.3390/chemosensors11080453 article EN cc-by Chemosensors 2023-08-13

Language agents have achieved considerable performance on various complex question-answering tasks. Despite the incessant exploration in this field, existing language agent systems still struggle with costly, non-reproducible data reliance and face challenge of compelling a single model for multiple functions. To end, we introduce AutoAct, an automatic learning framework that does not rely large-scale annotated synthetic trajectories from closed-source models (e.g., GPT-4). Given limited...

10.48550/arxiv.2401.05268 preprint EN other-oa arXiv (Cornell University) 2024-01-01

Providing various machine learning (ML) applications in the real world, concerns about discrimination hidden ML models are growing, particularly high-stakes domains. Existing techniques for assessing level of include commonly used group and individual fairness measures. However, these two types measures usually hard to be compatible with each other, even different might incompatible as well. To address this issue, we investigate evaluate classifiers from a manifold perspective propose...

10.48550/arxiv.2405.09251 preprint EN arXiv (Cornell University) 2024-05-15

Discrimination mitigation with machine learning (ML) models could be complicated because multiple factors may interweave each other including hierarchically and historically. Yet few existing fairness measures are able to capture the discrimination level within ML in face of sensitive attributes. To bridge this gap, we propose a measure based on distances between sets from manifold perspective, named as 'harmonic via manifolds (HFM)' two optional versions, which can deal fine-grained...

10.48550/arxiv.2408.06099 preprint EN arXiv (Cornell University) 2024-08-12

A simple, rapid, and efficient method to analyze essential oil contents in a traditional Chinese medicine, Pogostemon Cablin (PTC), was developed using novel solid-phase microextraction fiber that contains cucurbit[7]uril-based (Q[7]) porous coordination nanotubular polymer followed by gas chromatography–mass spectrometry. Solid-phase parameters such as extraction temperature, time, sample mass were optimized. Selected conditions include an temperature of 90 °C, time 20 min, 0.2 g....

10.1080/10610278.2016.1173694 article EN Supramolecular chemistry 2016-04-27

Two-way fiber-optic time transfer is a promising precise synchronization technique with sub-nanosecond accuracy. However, asymmetric delay attack serious threat which cannot be prevent by any encryption method. In this paper, dynamic model based scheme proposed to defense the attack. A threshold set according estimated difference two-state clock where fixed frequency excluded from detect smaller than induced difference. Theoretical simulation and experimental demonstration are implemented...

10.48550/arxiv.2203.03803 preprint EN other-oa arXiv (Cornell University) 2022-01-01
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