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Kanghong Tan
Institutions:
Wuyi University,
Wuyi University
Observed institutions:
Wuyi University,
Wuyi University
ORCID:
0009-0009-2783-4762
Observed ORCID:
0009-0009-2783-4762
OpenAlex ID:
A5091802769
Performance evaluation of anomaly detection with a novel battery spot welding anomaly dataset
2025
·
Yingwen Chen
, Yijun Zhou
, et al.
·
International Conference on Signal Processing and Neural Network Applications (SPNNA)
·
2
Performance Evaluation of Anomaly Detection with a New Battery Surface Anomaly Dataset
2024
·
Yijun Zhou
, Zilu Ying
, et al.
·
Lecture notes in computer science
·
2
Self-Supervised CLIP-Guided for Few-Shot Industrial Anomaly Detection
2026
·
Yingwen Chen
, Ying Xu
, et al.
·
IEEE Transactions on Instrumentation and Measurement
·
1
Performance Evaluation of Surface Defect Segmentation with a new Battery Surface Gray Dataset
2024
·
Kanghong Tan
, Haolin Lv
, et al.
·
IEEE International Conference on Signal, Information and Data Processing (ICSIDP)
·
1
Evaluation of Fine-Grained Anomaly Detection Methods on a Novel Battery Surface Defect Dataset
2024
·
Dongyan Lin
, Yingwen Chen
, et al.
·
International Symposium on Computer Engineering and Intelligent Communications (ISCEIC)
·
1
TPCR-AD: Test-Patch Clustering Refinement with Normal-Feature PCA Reconstruction for Few-Shot Industrial Anomaly Detection
2026
·
Xianlin Zheng
, Muzhen Li
, et al.
·
International Conference on Electronic Information, Computer and Aerospace Remote Sensing (EICARS)
Performance evaluation of image retrieval with an industrial workpiece type dataset
2025
·
Shaoheng Tang
, Yingwen Chen
, et al.
·
International Conference on Signal Processing and Neural Network Applications (SPNNA)
Performance Evaluation of Surface Defect Segmentation with an Novel Battery Surface RGB Dataset
2025
·
Jie You
, Hufei Zhu
, et al.
·
Smart innovation, systems and technologies
Exploring bit-difference for approximate KNN searching in high-dimensional databases
2005
·
Benben Cui
, Heng Tao Shen
, et al.
·
Australasian Database Conference
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Works count:
9
Citation count:
7
H-index:
2
I10-index:
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