Kang Liu

Orcid: 0000-0002-3150-0185

Affiliations:
  • Xidian University, School of Computer Science and Technology, Xi'an, Shaanxi, China
  • Chongqing University of Posts and Telecommunications, Chongqing Key Laboratory of Comoutational Intellieence, China


According to our database1, Kang Liu authored at least 15 papers between 2018 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Seeing Like Radiologists: Context- and Gaze-Guided Vision-Language Pretraining for Chest X-rays.
CoRR, March, 2026

Factual serialization enhancement: A key innovation for chest X-ray report generation.
Expert Syst. Appl., 2026

PriorRG: Prior-Guided Contrastive Pre-training and Coarse-to-Fine Decoding for Chest X-ray Report Generation.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025
Generative Sign-description Prompts with Multi-positive Contrastive Learning for Sign Language Recognition.
CoRR, May, 2025

Edge-Enhanced Cascaded MRF for SAR Image Segmentation.
IEEE Trans. Geosci. Remote. Sens., 2025

LMADCNV: A CNV Detection Method Based on Local Features and MAD for NGS Data.
IEEE Trans. Comput. Biol. Bioinform., 2025

Modeling multi-scale uncertainty with evidence integration for reliable polyp segmentation.
Neural Networks, 2025

Multi-scale information sharing and selection network with boundary attention for polyp segmentation.
Eng. Appl. Artif. Intell., 2025

Enhanced Contrastive Learning with Multi-view Longitudinal Data for Chest X-ray Report Generation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024
MCL: Multi-view Enhanced Contrastive Learning for Chest X-ray Report Generation.
CoRR, 2024

Structural Entities Extraction and Patient Indications Incorporation for Chest X-Ray Report Generation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

2022
Design and Implementation of Identity Verification Software Based on Deep Learning.
Int. J. Digit. Crime Forensics, 2022

IhybCNV: An intra-hybrid approach for CNV detection from next-generation sequencing data.
Digit. Signal Process., 2022

Detection of copy number variations from NGS data by using an adaptive kernel density estimation-based outlier factor.
Digit. Signal Process., 2022

2018
Prediction of Aluminum Electrolysis Superheat Based on Improved Relative Density Noise Filter SMO.
Proceedings of the 2018 IEEE International Conference on Big Knowledge, 2018


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