Search Results - "Xu, Jiamu"

Pregnancy complicated with adrenal adenoma causing ACTH-independent Cushing's syndrome, accompanied by obstetric antiphospholipid syndrome and severe pre-eclampsia: case report and literature review by Xu, Shenghan, Liu, Miao, Xu, Jiamu, Che, Bangwei, Zhang, Wenjun, Li, Wei, Huang, Tao, Yu, Ying, Zha, Cheng, Peng, Zheng, Huang, Kunyuan, Tang, Kaifa

“…This case report shares the management experience of a patient with pregnancy combined with adrenal adenoma causing ACTH-independent Cushing's syndrome (CS),…”
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Precise Beam Control in Optical Phased Arrays Using the Four Steps Rotating Element Electric Field Vector Method by Wang, Zihao, Xu, Jiamu, Jin, Li, Qiu, Ke, Liu, Yabo, Liao, Jiali, Sun, Yanling, Xu, Huailiang

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OPA-LiDAR active optical synthetic aperture super-resolution detection imaging technology by Wang, Zihao, Liu, Yabo, Yang, Panxiong, Chen, Zuntian, Xu, Jiamu, Liao, Jiali, Sun, Yanling, Zhang, Jincheng

“…In this paper, we present a preliminary design for an active synthetic aperture detection imaging technique tailored for OPA-LiDAR. We have developed the…”
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X2-Softmax: Margin adaptive loss function for face recognition by Xu, Jiamu, Liu, Xiaoxiang, Zhang, Xinyuan, Si, Yain-Whar, Li, Xiaofan, Shi, Zheng, Wang, Ke, Gong, Xueyuan

“…Learning the discriminative features of different faces is an important task in face recognition. By extracting face features with neural networks, it becomes…”
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Innovative OPA-based optical chip for enhanced digital holography by Wang, Zihao, Liu, Linke, Jiang, Ping, Liao, Jiali, Xu, Jiamu, Sun, Yanlnig, Jin, Li, Lu, Zhenzhong, Feng, Junbo, Cao, Changqing

“…Digital holographic imaging has emerged as a transformative technology with significant implications for AR/VR devices. However, existing techniques often…”
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X2-Softmax: Margin Adaptive Loss Function for Face Recognition by Xu, Jiamu, Liu, Xiaoxiang, Zhang, Xinyuan, Si, Yain-Whar, Li, Xiaofan, Shi, Zheng, Wang, Ke, Gong, Xueyuan

“…Learning the discriminative features of different faces is an important task in face recognition. By extracting face features in neural networks, it becomes…”
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