Zobrazeno 1 - 10
of 6 496
pro vyhledávání: '"WANG, Haifeng"'
Autor:
Zhou, Shuo, Zhou, Yihang, Liu, Congcong, Zhu, Yanjie, Zheng, Hairong, Liang, Dong, Wang, Haifeng
Magnetic resonance image reconstruction starting from undersampled k-space data requires the recovery of many potential nonlinear features, which is very difficult for algorithms to recover these features. In recent years, the development of quantum
Externí odkaz:
http://arxiv.org/abs/2410.09406
Integrated Sensing and Communication (ISAC) has emerged as a promising technology for next-generation wireless networks. In this work, we tackle an ill-posed parameter estimation problem within ISAC, formulating it as a joint blind super-resolution a
Externí odkaz:
http://arxiv.org/abs/2410.08607
Autor:
Gong, Chaoguang, Hu, Yue, Li, Peng, Zou, Lixian, Liu, Congcong, Zhou, Yihang, Zhu, Yanjie, Liang, Dong, Wang, Haifeng
Magnetic Resonance Fingerprinting (MRF) has emerged as a promising quantitative imaging technique within the field of Magnetic Resonance Imaging (MRI), offers comprehensive insights into tissue properties by simultaneously acquiring multiple tissue p
Externí odkaz:
http://arxiv.org/abs/2410.06624
Autor:
Wang, Guoxia, Zeng, Jinle, Xiao, Xiyuan, Wu, Siming, Yang, Jiabin, Zheng, Lujing, Chen, Zeyu, Bian, Jiang, Yu, Dianhai, Wang, Haifeng
The computational and memory demands of vanilla attention scale quadratically with the sequence length $N$, posing significant challenges for processing long sequences in Transformer models. FlashAttention alleviates these challenges by eliminating t
Externí odkaz:
http://arxiv.org/abs/2410.01359
Autor:
Rahman, Abdur, Street, Jason, Wooten, James, Marufuzzaman, Mohammad, Gude, Veera G., Buchanan, Randy, Wang, Haifeng
Quick and reliable measurement of wood chip moisture content is an everlasting problem for numerous forest-reliant industries such as biofuel, pulp and paper, and bio-refineries. Moisture content is a critical attribute of wood chips due to its direc
Externí odkaz:
http://arxiv.org/abs/2409.04920
Activation function has a significant impact on the dynamics, convergence, and performance of deep neural networks. The search for a consistent and high-performing activation function has always been a pursuit during deep learning model development.
Externí odkaz:
http://arxiv.org/abs/2409.04915
Autor:
Huang, Jizhou, Wang, Haifeng, Sun, Yibo, Fan, Miao, Huang, Zhengjie, Yuan, Chunyuan, Li, Yawen
The increasing interest in international travel has raised the demand of retrieving point of interests in multiple languages. This is even superior to find local venues such as restaurants and scenic spots in unfamiliar languages when traveling abroa
Externí odkaz:
http://arxiv.org/abs/2409.03504
Autor:
Lin, Ling, Zhou, Yihang, Hu, Zhanqi, Jiang, Dian, Liu, Congcong, Zhou, Shuo, Zhu, Yanjie, Liao, Jianxiang, Liang, Dong, Zheng, Hairong, Wang, Haifeng
Tuberous sclerosis complex (TSC) manifests as a multisystem disorder with significant neurological implications. This study addresses the critical need for robust classification models tailored to TSC in pediatric patients, introducing QResNet,a nove
Externí odkaz:
http://arxiv.org/abs/2408.12615
Autor:
Xie, Taofeng, Cui, Zhuoxu, Liu, Congcong, Luo, Chen, Wang, Huayu, Zhang, Yuanzhi, Wang, Xuemei, Zhou, Yihang, Jin, Qiyu, Chen, Guoqing, Liang, Dong, Wang, Haifeng
Publikováno v:
ISMRM 2024 Digital poster 6575
PET suffers from a low signal-to-noise ratio. Meanwhile, the k-space data acquisition process in MRI is time-consuming by PET-MRI systems. We aim to accelerate MRI and improve PET image quality. This paper proposed a novel joint reconstruction model
Externí odkaz:
http://arxiv.org/abs/2408.11840
Autor:
Zhao, Ting, Cui, Zhuoxu, Jia, Sen, Zhu, Qingyong, Liu, Congcong, Zhou, Yihang, Zhu, Yanjie, Liang, Dong, Wang, Haifeng
Publikováno v:
ISMRM 2024 Digital poster 4024
Diffusion model has been successfully applied to MRI reconstruction, including single and multi-coil acquisition of MRI data. Simultaneous multi-slice imaging (SMS), as a method for accelerating MR acquisition, can significantly reduce scanning time,
Externí odkaz:
http://arxiv.org/abs/2408.08883