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This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2026
[j11]Youpeng Li, Bolin Tian, Kexuan Li, Peibiao Zhao, Zhaolin Zuo, Bin Cui, Juntong Li, Zhenyan Xia:
Molecular dynamics deconstruction of hyaluronic acid shear thinning: hydrogen bond network dynamics driving rheological response. Comput. Methods Programs Biomed. 273: 109120 (2026)- 2025
- [j10]Bo Sun
, Kexuan Li, Jingjuan Liu, Zhen Sun, Xuehao Wang, Yuanbo He, Xin Zhao, Huadan Xue, Aimin Hao, Shuai Li, Yi Xiao:
Advancing MRI segmentation with CLIP-driven semi-supervised learning and semantic alignment. Neurocomputing 612: 128690 (2025) - [j9]Yan Chen, Kexuan Li, Feng Tian, Ganglin Wei, Morteza Seberi:
Lightweight expression recognition combined attention fusion network with hybrid knowledge distillation for occluded e-learner facial images. Neurocomputing 628: 129656 (2025) - [j8]Jiakun Deng, Xingye Cui, Kexuan Li, Junsong Hu, Chang Long, Yizhuo Yin, Tian Pu, Zhenming Peng:
Nonlocal Affinity-Based Robust Interference-Resistant Model for Infrared Small Target Detection. IEEE Geosci. Remote. Sens. Lett. 22: 1-5 (2025) - [j7]Chen Hu, Yian Huang, Kexuan Li, Luping Zhang, Chang Long, Yiming Zhu, Tian Pu, Zhenming Peng:
DATransNet: Dynamic Attention Transformer Network for Infrared Small Target Detection. IEEE Geosci. Remote. Sens. Lett. 22: 1-5 (2025) - [j6]Xingye Cui, Junhai Luo, Jiakun Deng, Kexuan Li, Xiangyu Qiu, Zhenming Peng:
ARFHANet: Adaptive Receptive Field and Hierarchical Attention Network for Infrared Small-Target Detection. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 18: 28269-28282 (2025) - [j5]Jiakun Deng, Kexuan Li, Xingye Cui, Jiaxuan Li, Chang Long, Tian Pu, Zhenming Peng:
CSPENet: Contour-Aware and Saliency Priors Embedding Network for Infrared Small-Target Detection. IEEE Trans. Geosci. Remote. Sens. 63: 1-14 (2025) - [i9]Jiakun Deng, Kexuan Li, Xingye Cui, Jiaxuan Li, Chang Long, Tian Pu, Zhenming Peng:
CSPENet: Contour-Aware and Saliency Priors Embedding Network for Infrared Small Target Detection. CoRR abs/2505.09943 (2025) - [i8]Xingye Cui, Junhai Luo, Jiakun Deng, Kexuan Li, Xiangyu Qiu, Zhenming Peng:
ARFC-WAHNet: Adaptive Receptive Field Convolution and Wavelet-Attentive Hierarchical Network for Infrared Small Target Detection. CoRR abs/2505.10595 (2025) - 2024
- [j4]Bo Sun, Zhen Sun, Kexuan Li, Xuehao Wang, Guotao Wang, Wenfeng Song, Shuai Li, Aimin Hao, Yi Xiao:
IG-Net: An Instrument-guided real-time semantic segmentation framework for prostate dissection during surgery for low rectal cancer. Comput. Methods Programs Biomed. 257: 108443 (2024) - [j3]Kexuan Li, Ruiqi Liu, Ganggang Xu, Zuofeng Shang:
Nonparametric Inference under B-bits Quantization. J. Mach. Learn. Res. 25: 19:1-19:68 (2024) - [c2]Bo Sun, Kexuan Li, Jingjuan Liu, Zhen Sun, Xuehao Wang, Huadan Xue, Aimin Hao, Shuai Li, Yi Xiao:
Semi-Supervised Medical Image Segmentation with Cross-View Consistency and Contrastive Learning. BIBM 2024: 2446-2453 - [i7]Chen Hu, Yian Huang, Kexuan Li, Luping Zhang, Yiming Zhu, Yufei Peng, Tian Pu, Zhenming Peng:
Gradient is All You Need: Gradient-Based Attention Fusion for Infrared Small Target Detection. CoRR abs/2409.19599 (2024) - 2023
- [j2]Kexuan Li, Fangfang Wang, Lingli Yang, Ruiqi Liu:
Deep feature screening: Feature selection for ultra high-dimensional data via deep neural networks. Neurocomputing 538: 126186 (2023) - [i6]Kexuan Li, Jun Zhu, Anthony R. Ives, Volker C. Radeloff, Fangfang Wang:
Semiparametric Regression for Spatial Data via Deep Learning. CoRR abs/2301.03747 (2023) - [i5]Kexuan Li, Susie Sinks, Peng Sun, Lingli Yang:
On the Confidence Intervals in Bioequivalence Studies. CoRR abs/2306.06698 (2023) - [i4]Kexuan Li:
Deep Learning for Efficient GWAS Feature Selection. CoRR abs/2312.15055 (2023) - 2022
- [i3]Kexuan Li, Fangfang Wang, Lingli Yang:
Deep Feature Screening: Feature Selection for Ultra High-Dimensional Data via Deep Neural Networks. CoRR abs/2204.01682 (2022) - [i2]Kexuan Li:
Variable selection for nonlinear Cox regression model via deep learning. CoRR abs/2211.09287 (2022) - 2021
- [j1]Kexuan Li, Aleksey S. Polunchenko, Andrey Pepelyshev:
Analytic evaluation of the fractional moments for the quasi-stationary distribution of the Shiryaev martingale on an interval. Commun. Stat. Simul. Comput. 50(9): 2705-2720 (2021) - [i1]Kexuan Li, Fangfang Wang, Ruiqi Liu, Fan Yang, Zuofeng Shang:
Calibrating multi-dimensional complex ODE from noisy data via deep neural networks. CoRR abs/2106.03591 (2021)
2010 – 2019
- 2014
- [c1]Zuhui Jiang, Baolin Feng, Shibiao Zhao, Zhongshan Zheng, Lu Li, Kexuan Li:
Unfolded/tightened mechanism series support design based on characteristics of flying snake spine. ROBIO 2014: 2362-2367
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