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Kaiqi Li
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2020 – today
- 2026
[j7]Hongfu Huang
, Junhao Peng, Kaiqi Li, Jian Zhou, Zhimei Sun:
Efficient GPU-accelerated training of a neuroevolution potential with analytical gradients. Comput. Phys. Commun. 320: 109994 (2026)- 2025
[j6]Tongfei Shen
, Yifei Sheng
, Wan Nie
, Shuo Yang, Kaiqi Li
, Ziwei Ma
, Zhao Ling, Bowen Tan
, Xikang Feng
, Miaozhe Huo:
Deep learning-driven TCR$$\beta$$ repertoire analysis enhances diagnosis and enables mining of immunological biomarkers in systemic lupus erythematosus. BioData Min. 18(1) (2025)
[j5]Kaiqi Li
, Jiawei Jiang
, Enping Yan, Dengkui Mo
:
A Method to Reduce the Misclassification of Forest Change Detection Based on High-Resolution Images. IEEE Geosci. Remote. Sens. Lett. 22: 1-5 (2025)
[j4]Mingkai Li
, Qizhi Xu
, Kaiqi Li, Wei Li:
DecloudFormer: Quest the key to consistent thin cloud removal of wide-swath multi-spectral images. Pattern Recognit. 166: 111664 (2025)
[c5]Jiuchen Chen, Xinyu Yan, Qizhi Xu, Kaiqi Li:
Tokenize Image Patches: Global Context Fusion for Effective Haze Removal in Large Images. CVPR 2025: 2258-2268
[c4]Yueran Zhao, Kaiqi Li, Ziying Guo, Jialin Zhang:
A Graph-Based Deep Reinforcement Learning Framework for Quantum Circuit Mapping with Look-Ahead Rewards and Biased Exploration. ICCAD 2025: 1-9
[i1]Jiuchen Chen, Xinyu Yan
, Qizhi Xu, Kaiqi Li:
Tokenize Image Patches: Global Context Fusion for Effective Haze Removal in Large Images. CoRR abs/2504.09621 (2025)- 2024
[c3]Tongfei Shen
, Miaozhe Huo
, Wan Nie
, Kaiqi Li
, Ziwei Ma
, Xikang Feng
, Shuai Cheng Li:
DeepTAPE: Enhancing Systemic Lupus Erythematosus Diagnosis with Deep Learning Based on TCRβ CDR3 Sequences. BIBM 2024: 1149-1154- 2021
[j3]Muyi Sun, Kaiqi Li, Xingqun Qi
, Hao Dang, Guanhong Zhang
:
Contextual information enhanced convolutional neural networks for retinal vessel segmentation in color fundus images. J. Vis. Commun. Image Represent. 77: 103134 (2021)
[j2]Kaiqi Li
, Xingqun Qi
, Yiwen Luo, Zeyi Yao, Xiaoguang Zhou, Muyi Sun
:
Accurate Retinal Vessel Segmentation in Color Fundus Images via Fully Attention-Based Networks. IEEE J. Biomed. Health Informatics 25(6): 2071-2081 (2021)- 2020
[j1]Xingqun Qi
, Kaiqi Li, Pengkun Liu
, Xiaoguang Zhou, Muyi Sun
:
Deep Attention and Multi-Scale Networks for Accurate Remote Sensing Image Segmentation. IEEE Access 8: 146627-146639 (2020)
[c2]Zeyi Yao, Kaiqi Li, Yiwen Luo, Xiaoguang Zhou, Muyi Sun, Guanhong Zhang:
Accurate Cell Segmentation in Digital Pathology Images via Attention Enforced Networks. ICPR 2020: 1590-1595
[c1]Kaiqi Li, Zeyi Yao, Yiwen Luo, Xingqun Qi, Pengkun Liu, Zijian Wang:
Retinal Blood Vessel Segmentation via Attention Gate Network. ISAIMS 2020: 247-251
Coauthor Index

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