A von Neumann entropy condition of unitary equivalence of quantum states. - Kan He; Jinchuan Hou; Ming Li 012 (Appl. Math. Lett., 2012)

On Partially Trace Distance Preserving Maps and Reversible Quantum Channels. - Long Jian; Kan He; Qing Yuan; Fei Wang (J. Appl. Math., 2013)

Implementing termination analysis on quantum programming. - Shusen Liu 002; Kan He; Runyao Duan (Sci. China Inf. Sci., 2019)

Separation and approximate separation of multipartite quantum gates. - Kan He; Shusen Liu; Jinchuan Hou (CoRR, 2019)

Computed Tomography for Preoperative Colorectal Staging Prediction Based on Deep Multi-task Learning: Colorectal Staging Prediction Based on Deep Multi-task Learning. - Hualin Yang; Shuxu Guo; Kan He; Jinzhu Yang; Yu Guo; Yunhai Qiu; Huimao Zhang; Xueyan Li (ISICDM, 2020)

Colorectal Tumor Segmentation of CT Scans Based on a Convolutional Neural Network With an Attention Mechanism. - Yun Pei 001; Lin Mu; Yu Fu; Kan He; Hong Li 015; Shuxu Guo; Xiaoming Liu; Mingyang Li; Huimao Zhang; Xueyan Li (IEEE Access, 2020)

Noninvasive KRAS mutation estimation in colorectal cancer using a deep learning method based on CT imaging. - Kan He; Xiaoming Liu; Mingyang Li; Xueyan Li; Hualin Yang; Huimao Zhang (BMC Medical Imaging, 2020)

Gaussian coherence-breaking channels and coherence measures. - Danxiang Wu; Kan He (Quantum Inf. Process., 2020)

Quantifying measurement-induced nonbilocal correlation. - Ying Zhang; Yiman He; Kan He (Quantum Inf. Process., 2021)

Quantum tomography with Gaussian noise. - Haigang Wang; Kan He; Yuyang Hao; Shuyuan Yang 004 (Quantum Inf. Comput., 2022)

MCSC-UTNet: Honeycomb lung segmentation algorithm based on Separable Vision Transformer and context feature fusion. - Wei Jianjian; Gang Li; Kan He; Pengbo Li; Ling Zhang; Ronghua Wang (CACML, 2023)

DTUNet: dual branch transformer U-Net for hard exudate segmentation in retinal image. - Haiqi Wen; Kan He; Xiufang Feng; Fangpeng Lan; Xing Liang (J. Electronic Imaging, 2023)

The routing algorithms for maximum probability paths under degree constraints in networks. - Yinhui Liu; Shurong Zhang; Lin Chen; Kan He; Weihua Yang (Int. J. Parallel Emergent Distributed Syst., 2023)

PREIUD: An Industrial Control Protocols Reverse Engineering Tool Based on Unsupervised Learning and Deep Neural Network Methods. - Bowei Ning; Xuejun Zong; Kan He; Lian Lian (Symmetry, 2023)

Star network quantum steering. - Huijie Zhang; Shuyuan Yang 004; Kan He (Quantum Inf. Process., 2023)

Network Intrusion Detection Based on Feature Image and Deformable Vision Transformer Classification. - Kan He; Wei Zhang; Xuejun Zong; Lian Lian (IEEE Access, 2024)

DiffusionFuzz: Fuzzing Framework of Industrial Control Protocols Based on Denoising Diffusion Probabilistic Model. - Xuejun Zong; Wenjie Luo; Bowei Ning; Kan He; Lian Lian; Yifei Sun (IEEE Access, 2024)

Nonproliferative diabetic retinopathy dataset(NDRD): A database for diabetic retinopathy screening research and deep learning evaluation. - Xing Liang; Haiqi Wen; Yajian Duan; Kan He; Xiufang Feng; Guohong Zhou (Health Informatics J., 2024)

Noise tolerance of recycled entanglement detection by sequential and independent observers. - Shuyuan Yang 004; Kan He (Quantum Inf. Process., 2024)

EfficientTransformer: A Dynamic Anomaly Detection Model for Industrial Control Networks. - Jinyang Liu; Guogang Wang; Xuejun Zong; Bowei Ning; Kan He (IEEE Access, 2025)

Research on EMI Noise Suppression of Zeta Converter Based on Chaotic Spread Spectrum. - Yifei Sun; Tengfei Liu; Xuejun Zong; Kan He; Lian Lian; Feng Jiang (IEEE Access, 2025)

The abundance of uncertainty of the observable. - Jun Zhang; Kan He (Quantum Inf. Process., 2025)