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Hongjie Jia

Biographic Data

ID7871787
NAMEHongjie Jia
GIVEN NAMESHongjie
FAMILY NAMEJia
SIGNATUREJIA H
AFFILIATIONSJiangsu University
ORCID0000-0003-2907-2895
VERIFIEDYes
TOTAL WORKS4
TOTAL CITATIONS0
WORKS AS AUTHOR4
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2022
LATEST PUBLICATION YEAR2026
H-INDEX0
  • Enhanced Face Clustering With Neighbor Structure Refinement

    Open Access•Hongjie Jia, Ying Zhi et al.•ARTICLE•IEEE Transactions on Computational…•2026

    Face clustering is crucial for applications such as facial recognition, identity verification, and surveillance in social systems. However, it is often hindered by noise and false-positive connections at cluster boundaries, which significantly degrade performance. To address these challenges, we propose a novel face clustering framework with neighbor structure refinement (NSR-FC), which enhances clustering effectiveness by refining neighbor struc…

  • Resource-Sharing community with interconnected H-Memgs and shared hydrogen stations

    Open Access•Yunfei Mu, Yuqi Hou et al.•ARTICLE•Sustainable Cities and Society•2025

  • Adaptive Density Subgraph Clustering

    Open Access•Hongjie Jia, Yuhao Wu et al.•ARTICLE•IEEE Transactions on Computational…•2024

    Density peak clustering (DPC) has garnered growing interest over recent decades due to its capability to identify clusters with diverse shapes and its resilience to the presence of noisy data. Most DPC-based methods exhibit high computational complexity. One approach to mitigate this issue involves utilizing density subgraphs. Nevertheless, the utilization of density subgraphs may impose restrictions on cluster sizes and potentially lead to an ex…

  • Effects of Seasonal Variation on Spatial and Temporal Distributions of Ozone in Northeast China

    Open Access•Jin Chen, Li Sun et al.•ARTICLE•International Journal of…•2022

    The levels of tropospheric ozone (O 3 ) are closely related to regional meteorological conditions, precursor emissions, and geographical environments, which have a significant negative impact on human health. The concentrations of O 3 were relatively low, while the spatial distribution was strongly heterogeneous in Northeast China; however, little is known about how the influencing factors affect the distribution of O 3 in Northeast China. Here, …

No prominent works on this page.

  • Effects of Seasonal Variation on Spatial and Temporal Distributions of Ozone in Northeast China

    Open Access•Jin Chen, Li Sun et al.•ARTICLE•International Journal of…•2022

    The levels of tropospheric ozone (O 3 ) are closely related to regional meteorological conditions, precursor emissions, and geographical environments, which have a significant negative impact on human health. The concentrations of O 3 were relatively low, while the spatial distribution was strongly heterogeneous in Northeast China; however, little is known about how the influencing factors affect the distribution of O 3 in Northeast China. Here, …

  • Adaptive Density Subgraph Clustering

    Open Access•Hongjie Jia, Yuhao Wu et al.•ARTICLE•IEEE Transactions on Computational…•2024

    Density peak clustering (DPC) has garnered growing interest over recent decades due to its capability to identify clusters with diverse shapes and its resilience to the presence of noisy data. Most DPC-based methods exhibit high computational complexity. One approach to mitigate this issue involves utilizing density subgraphs. Nevertheless, the utilization of density subgraphs may impose restrictions on cluster sizes and potentially lead to an ex…

  • Resource-Sharing community with interconnected H-Memgs and shared hydrogen stations

    Open Access•Yunfei Mu, Yuqi Hou et al.•ARTICLE•Sustainable Cities and Society•2025

  • Enhanced Face Clustering With Neighbor Structure Refinement

    Open Access•Hongjie Jia, Ying Zhi et al.•ARTICLE•IEEE Transactions on Computational…•2026

    Face clustering is crucial for applications such as facial recognition, identity verification, and surveillance in social systems. However, it is often hindered by noise and false-positive connections at cluster boundaries, which significantly degrade performance. To address these challenges, we propose a novel face clustering framework with neighbor structure refinement (NSR-FC), which enhances clustering effectiveness by refining neighbor struc…

Computer Science (3 works) · Artificial Intelligence (2 works) · Cluster analysis (2 works) · Environmental Science (2 works) · Advanced Clustering Algorithms Research (1 work) · Air pollution (1 work) · Air Quality and Health Impacts (1 work) · Atmospheric chemistry and aerosols (1 work) · Atmospheric sciences (1 work) · Biometric Identification and Security (1 work)

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