Peiran Li

ORCID: 0000-0003-4234-0292
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About
Contact & Profiles
Research Areas
  • Human Mobility and Location-Based Analysis
  • Urban Transport and Accessibility
  • Traffic Prediction and Management Techniques
  • Soil Carbon and Nitrogen Dynamics
  • Transportation Planning and Optimization
  • Radioactive contamination and transfer
  • Chemokine receptors and signaling
  • Osteoarthritis Treatment and Mechanisms
  • Impact of Light on Environment and Health
  • Nuclear and radioactivity studies
  • Cell Adhesion Molecules Research
  • Mesenchymal stem cell research
  • Data-Driven Disease Surveillance
  • Energy and Environment Impacts
  • Migration, Aging, and Tourism Studies
  • Radioactivity and Radon Measurements
  • Solar Radiation and Photovoltaics
  • Immunodeficiency and Autoimmune Disorders
  • Context-Aware Activity Recognition Systems
  • Periodontal Regeneration and Treatments
  • Food composition and properties
  • COVID-19 Clinical Research Studies
  • Bioenergy crop production and management
  • COVID-19 epidemiological studies
  • Anomaly Detection Techniques and Applications

Ministry of Ecology and Environment
2022-2025

Southern Medical University
2024

Shanghai University of Traditional Chinese Medicine
2024

Sichuan University
2020-2023

State Key Laboratory of Oral Diseases
2020-2023

The University of Tokyo
2020-2023

Tokyo University of Information Sciences
2022-2023

Tokyo University of Science
2023

Tokyo University of Agriculture and Technology
2014-2022

Northwest A&F University
2022

The photovoltaic (PV) industry boom and increased PV applications call for better planning based on accurate updated data the installed capacity. Compared with manual statistical approach, which is often time-consuming labor-intensive, using satellite/aerial images to estimate existing capacity offers a new method cost-effective data-consistent features. Previous studies investigated feasibility of segmenting panels from involving machine learning technologies. However, due particular...

10.1016/j.adapen.2021.100057 article EN cc-by Advances in Applied Energy 2021-07-18

Abstract The biological characteristics of the temporomandibular joint disc involve complex cellular network in cell identity and extracellular matrix composition to modulate jaw function. lack a detailed characterization severely limits development targeted therapies for joint-related diseases. Here we profiled single-cell transcriptomes cells from mice at different postnatal stages, finding that fibroblast population could be divided into chondrogenic non-chondrogenic clusters. We also...

10.1038/s41467-023-36406-2 article EN cc-by Nature Communications 2023-02-14

The emergence of large Vision Language Models (VLMs) has broadened the scope and capabilities single-modal Large (LLMs) by integrating visual modalities, thereby unlocking transformative cross-modal applications in a variety real-world scenarios. Despite their impressive performance, VLMs are prone to significant hallucinations, particularly form inconsistencies. Building on success Reinforcement Learning from Human Feedback (RLHF) aligning LLMs, recent advancements have focused applying...

10.48550/arxiv.2502.13146 preprint EN arXiv (Cornell University) 2025-02-18

Osteoarthritis (OA) is a chronic degenerative joint disease and the major cause of pain disability in elderly. It mainly characterized by articular cartilage degradation subchondral bone remodeling. There are two main types OA: natural occurring OA secondary OA, associated with aging trauma, respectively. In this study, we established models rat knee joints to simulate using type II collagenase injection (CI) anterior cruciate ligament transection (ACLT), After intervention for 2-6 weeks,...

10.7717/peerj.8934 article EN cc-by PeerJ 2020-04-20

Life pattern clustering is essential for abstracting the groups' characteristics of daily life patterns and activity regularity. Based on millions GPS records, this research proposes a framework which can efficiently identify groups that have similar patterns. The proposed method retain original features individual data without aggregation. Metagraph-based structure presenting diverse pattern. Spatial-temporal similarity includes significant places semantics, time-sequential properties...

10.1109/tbdata.2022.3155752 article EN IEEE Transactions on Big Data 2022-03-03

Background: An outbreak of severe respiratory illness caused by a novel coronaviruses (2019- nCoV) in China since December 2019. This work aim to evaluate the clinical diagnostic values Immunoglobulin G/M's or inflammatory-related factor's level patients' serum sample and relationship with manifestations epidemiologic features. Methods: A total forty-nine patients confirmed nucleic acid test were enrolled this study, S (Spike) N (Nucleocapsid) -based G/M neutralizing antibodies detected 206...

10.2139/ssrn.3543609 article EN SSRN Electronic Journal 2020-01-01

Tracking demographic dynamics for the built environment is important a smart city. As kind of ubiquitous Industrial Internet Things (IIoT) device, portable devices (e.g., mobile phones) afford great potential to achieve this goal. illuminates two things: population's mobility (where do people go) and related demographics (who are they). Many past studies have investigated tracking population dynamics; however, few them tried dynamics. In context, our study proposed IIoT based trustworthy...

10.1109/tnse.2022.3145572 article EN IEEE Transactions on Network Science and Engineering 2022-01-25
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