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2020 – today
- 2024
[j16]Kan He
, Wei Zhang, Xuejun Zong, Lian Lian:
Network Intrusion Detection Based on Feature Image and Deformable Vision Transformer Classification. IEEE Access 12: 44335-44350 (2024)- [j15]Xuejun Zong, Wenjie Luo, Bowei Ning, Kan He, Lian Lian, Yifei Sun:
DiffusionFuzz: Fuzzing Framework of Industrial Control Protocols Based on Denoising Diffusion Probabilistic Model. IEEE Access 12: 67795-67808 (2024) - [j14]Xing Liang, Haiqi Wen, Yajian Duan, Kan He, Xiufang Feng, Guohong Zhou:
Nonproliferative diabetic retinopathy dataset(NDRD): A database for diabetic retinopathy screening research and deep learning evaluation. Health Informatics J. 30(2) (2024) - [j13]Shuyuan Yang, Kan He:
Noise tolerance of recycled entanglement detection by sequential and independent observers. Quantum Inf. Process. 23(6): 202 (2024) - 2023
- [j12]Haiqi Wen, Kan He, Xiufang Feng, Fangpeng Lan, Xing Liang:
DTUNet: dual branch transformer U-Net for hard exudate segmentation in retinal image. J. Electronic Imaging 32(4) (2023) - [j11]Yinhui Liu, Shurong Zhang, Lin Chen, Kan He, Weihua Yang:
The routing algorithms for maximum probability paths under degree constraints in networks. Int. J. Parallel Emergent Distributed Syst. 38(2): 155-171 (2023) - [j10]Huijie Zhang, Shuyuan Yang, Kan He:
Star network quantum steering. Quantum Inf. Process. 22(7): 286 (2023) - [j9]Bowei Ning, Xuejun Zong, Kan He, Lian Lian:
PREIUD: An Industrial Control Protocols Reverse Engineering Tool Based on Unsupervised Learning and Deep Neural Network Methods. Symmetry 15(3): 706 (2023) - [c2]Wei Jianjian, Gang Li, Kan He, Pengbo Li, Ling Zhang, Ronghua Wang:
MCSC-UTNet: Honeycomb lung segmentation algorithm based on Separable Vision Transformer and context feature fusion. CACML 2023: 488-494 - 2022
- [j8]Haigang Wang, Kan He, Yuyang Hao, Shuyuan Yang:
Quantum tomography with Gaussian noise. Quantum Inf. Comput. 22(13&14): 1144-1157 (2022) - 2021
- [j7]Ying Zhang, Yiman He, Kan He:
Quantifying measurement-induced nonbilocal correlation. Quantum Inf. Process. 20(7): 1-16 (2021) - 2020
- [j6]Yun Pei, Lin Mu, Yu Fu, Kan He, Hong Li, Shuxu Guo, Xiaoming Liu, Mingyang Li, Huimao Zhang, Xueyan Li:
Colorectal Tumor Segmentation of CT Scans Based on a Convolutional Neural Network With an Attention Mechanism. IEEE Access 8: 64131-64138 (2020) - [j5]Kan He, Xiaoming Liu, Mingyang Li, Xueyan Li, Hualin Yang, Huimao Zhang:
Noninvasive KRAS mutation estimation in colorectal cancer using a deep learning method based on CT imaging. BMC Medical Imaging 20(1): 59 (2020) - [j4]Danxiang Wu, Kan He:
Gaussian coherence-breaking channels and coherence measures. Quantum Inf. Process. 19(9): 344 (2020) - [c1]Hualin Yang, Shuxu Guo, Kan He, Jinzhu Yang, Yu Guo, Yunhai Qiu, Huimao Zhang, Xueyan Li:
Computed Tomography for Preoperative Colorectal Staging Prediction Based on Deep Multi-task Learning: Colorectal Staging Prediction Based on Deep Multi-task Learning. ISICDM 2020: 95-98
2010 – 2019
- 2019
- [j3]Shusen Liu, Kan He, Runyao Duan:
Implementing termination analysis on quantum programming. Sci. China Inf. Sci. 62(12): 222501 (2019) - [i1]Kan He, Shusen Liu, Jinchuan Hou:
Separation and approximate separation of multipartite quantum gates. CoRR abs/1901.04629 (2019) - 2013
- [j2]Long Jian, Kan He, Qing Yuan, Fei Wang:
On Partially Trace Distance Preserving Maps and Reversible Quantum Channels. J. Appl. Math. 2013: 474291:1-474291:5 (2013) - 2012
- [j1]Kan He, Jinchuan Hou, Ming Li:
A von Neumann entropy condition of unitary equivalence of quantum states. Appl. Math. Lett. 25(8): 1153-1156 (2012)
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