Zobrazeno 1 - 10
of 5 817
pro vyhledávání: '"ZHANG Jiao"'
In real-world applications, the sample distribution at the inference stage often differs from the one at the training stage, causing performance degradation of trained deep models. The research on domain generalization (DG) aims to develop robust alg
Externí odkaz:
http://arxiv.org/abs/2408.09138
Remote Direct Memory Access (RDMA) is widely used in data center networks because of its high performance. However, due to the characteristics of RDMA's retransmission strategy and the traffic mode of AI training, current load balancing schemes for d
Externí odkaz:
http://arxiv.org/abs/2407.09808
As the decrease in human activities resulting from the COVID-19 control measures had a significant impact on air quality, the epidemic provided an opportunity to investigate the extent to which air pollution is influenced by human activities and revi
Externí odkaz:
http://arxiv.org/abs/2406.01502
Autor:
Wei, Dehui, Zhang, Jiao, Li, Haozhe, Xue, Zhichen, Peng, Yajie, Pang, Xiaofei, Han, Rui, Ma, Yan, Li, Jialin
As ByteDance's business expands, the substantial infrastructure expenses associated with centralized Content Delivery Network (CDN) networks have rendered content distribution costs prohibitively high. In response, we embarked on exploring a peer-to-
Externí odkaz:
http://arxiv.org/abs/2401.15839
There are ubiquitous distribution shifts in the real world. However, deep neural networks (DNNs) are easily biased towards the training set, which causes severe performance degradation when they receive out-of-distribution data. Many methods are stud
Externí odkaz:
http://arxiv.org/abs/2309.06142
Peak sidelobe level reduction (PSLR) is crucial in the application of large-scale array antenna, which directly determines the radiation performance of array antenna. We study the PSLR of subarray level aperiodic arrays and propose three array struct
Externí odkaz:
http://arxiv.org/abs/2307.01710
Publikováno v:
China Today. Aug2012, Vol. 61 Issue 8, p61-63. 3p. 1 Color Photograph.
Publikováno v:
Jichu yixue yu linchuang, Vol 44, Iss 4, Pp 572-576 (2024)
Objective Using our team's recent research achievement “the cervical ultrasound scanning route map” as a teaching tool, to evaluate its impact on the learning effectiveness and confidence of beginners in the process of learning cervical spinal ul
Externí odkaz:
https://doaj.org/article/974d148fbef047f88b5fb6d65ff3d98a
Autor:
You, Xiaohu, Huang, Yongming, Liu, Shengheng, Wang, Dongming, Ma, Junchao, Zhang, Chuan, Zhan, Hang, Zhang, Cheng, Zhang, Jiao, Li, Jin, Zhu, Min, You, Jianjie, Liu, Dongjie, He, Shiwen, He, Guanghui, Yang, Fengyi, Liu, Yang, Wu, Jianjun, Lu, Jianmin, Li, Ge, Chen, Xiaowu, Chen, Wenguang, Gao, Wen
Sixth-generation (6G) networks are evolving towards new features and order-of-magnitude enhancement of systematic performance metrics compared to the current 5G. In particular, the 6G networks are expected to achieve extreme connectivity performance
Externí odkaz:
http://arxiv.org/abs/2208.01190
A perfect teleportation protocol requires pure maximally shared entangled states. While in reality the shared entanglement is severely degraded due to the inevitable interaction with the noisy environment, which leads to mixed entangled state and ext
Externí odkaz:
http://arxiv.org/abs/2206.14463