Zobrazeno 1 - 10
of 4 325
pro vyhledávání: '"Qiao, Liang"'
Autor:
Qiao, Liang, Shi, Jun, Hao, Xiaoyu, Fang, Xi, Zhao, Minfan, Zhu, Ziqi, Chen, Junshi, An, Hong, Li, Bing, Yuan, Honghui, Wang, Xinyang, Tang, Xulong
Tensor program tuning is essential for the efficient deployment of deep neural networks. Search-based approaches have demonstrated scalability and effectiveness in automatically finding high-performance programs for specific hardware. However, the se
Externí odkaz:
http://arxiv.org/abs/2402.02361
The discovery of superconductivity in La3Ni2O7 has attracted significant research interest in the field of nickelate superconductors. Despite extensive studies on pristine La3Ni2O7, the impact of oxygen vacancies (VO), a common type of intrinsic defe
Externí odkaz:
http://arxiv.org/abs/2312.01271
Autor:
Zhang, Bo, Ren, Wei, Yang, Shengyu, Kuang, Qifeng, Li, Da, Liu, Xin, Zhang, Anmin, Pang, Hua, Tang, Liyun, Qiao, Liang, Li, Fashen, Li, Zhiwei
Publikováno v:
Phys. Rev. B 108, 214401(2023)
We report on investigations of the complex magnetostructural and spin-state transitions in the breathing pyrochlore LiFeCr$_{4}$O$_{8}$ by means of magnetization, M\"ossbauer spectroscopy, and density functional theory (DFT) calculations. Three trans
Externí odkaz:
http://arxiv.org/abs/2312.00996
Autor:
Wu, Yangliu, Lu, Haipeng, Han, Xiaocang, Yang, Chendi, Liu, Nanshu, Zhao, Xiaoxu, Qiao, Liang, Ji, Wei, Che, Renchao, Deng, Longjiang, Peng, Bo
The search for two-dimensional (2D) van der Waals (vdW) multiferroics is an exciting yet challenging endeavor. Room-temperature 2D vdW few-layer multiferroic is a much bigger insurmountable obstacle. Here we report the discovery of an unconventional
Externí odkaz:
http://arxiv.org/abs/2311.14300
Autor:
Yang, Longrong, Zhou, Xianpan, Li, Xuewei, Qiao, Liang, Li, Zheyang, Yang, Ziwei, Wang, Gaoang, Li, Xi
Knowledge distillation (KD) has shown potential for learning compact models in dense object detection. However, the commonly used softmax-based distillation ignores the absolute classification scores for individual categories. Thus, the optimum of th
Externí odkaz:
http://arxiv.org/abs/2308.14286
Autor:
Tam, Charles C., Choi, Jaewon, Ding, Xiang, Agrestini, Stefano, Nag, Abhishek, Wu, Mei, Huang, Bing, Luo, Huiqian, Gao, Peng, Garcia-Fernandez, Mirian, Qiao, Liang, Zhou, Ke-Jin
Charge density waves (CDW) have been reported in NdNiO$_2$ and LaNiO$_2$ thin films grown on SrTiO$_3$ substrates using Ni-$L_3$ resonant x-ray scattering in Refs. [1-3]. In their comment [arXiv:2306.15086] on these reports, Pelliciari et al. found n
Externí odkaz:
http://arxiv.org/abs/2307.13569
Autor:
Shi, Jun, Kan, Hongyu, Ruan, Shulan, Zhu, Ziqi, Zhao, Minfan, Qiao, Liang, Wang, Zhaohui, An, Hong, Xue, Xudong
Recently, deep learning methods have been widely used for tumor segmentation of multimodal medical images with promising results. However, most existing methods are limited by insufficient representational ability, specific modality number and high c
Externí odkaz:
http://arxiv.org/abs/2307.01486
Autor:
Wang, Jian, Qiao, Liang, Zhou, Shichong, Zhou, Jin, Wang, Jun, Li, Juncheng, Ying, Shihui, Chang, Cai, Shi, Jun
Deep learning (DL) has proven highly effective for ultrasound-based computer-aided diagnosis (CAD) of breast cancers. In an automaticCAD system, lesion detection is critical for the following diagnosis. However, existing DL-based methods generally re
Externí odkaz:
http://arxiv.org/abs/2306.06982