Qihua Li

Orcid: 0009-0006-0937-9012

According to our database1, Qihua Li authored at least 13 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

On csauthors.net:

Bibliography

2024
Identification of O3 Sensitivity to Secondary HCHO and NO2 Measured by MAX-DOAS in Four Cities in China.
Remote. Sens., February, 2024

Self-Supervised Temporal Sensitive Hashing for Video Retrieval.
IEEE Trans. Multim., 2024

Semi-supervised Concept Preserving Hashing for Image Retrieval in Non-stationary Data Environment.
Proceedings of 2024 ACM ICMR Workshop on Multimodal Video Retrieval, 2024

2023
Analysis of the Vertical Distribution and Driving Factors of Aerosol and Ozone Precursors in Huaniao Island, China, Based on Ground-Based MAX-DOAS.
Remote. Sens., November, 2023

Problems with and Improvement of HCHO/NO2 for Diagnosing Ozone Sensitivity - A Case in Beijing.
Remote. Sens., April, 2023

Unsupervised Multi-Hashing for Image Retrieval in Non-stationary Environments.
Proceedings of the 15th International Conference on Advanced Computational Intelligence, 2023

2022
Recent development of hashing-based image retrieval in non-stationary environments.
Int. J. Mach. Learn. Cybern., 2022

Hashing-based affinity matrix for dominant set clustering.
Neurocomputing, 2022

Hashing-based Undersampling for Large Scale Histopathology Image Classification.
Proceedings of the 21st 2022 International Conference on Cognitive Informatics & Cognitive Computing, 2022

2020
Validation of Water Vapor Vertical Distributions Retrieved from MAX-DOAS over Beijing, China.
Remote. Sens., 2020

2019
MRI-based radiomics of rectal cancer: preoperative assessment of the pathological features.
BMC Medical Imaging, 2019

2017
Automatic Extraction of MRI Radiomics Features in Glioblastoma Multiforme: A Reproducibility Evaluation.
Proceedings of the 3rd IEEE International Conference on Cybernetics, 2017

2016
Clustering of MRI Radiomics Features for Glioblastoma Multiforme: An Initial Study.
Proceedings of the Medical Imaging and Augmented Reality - 7th International Conference, 2016


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