Zobrazeno 1 - 10
of 988
pro vyhledávání: '"Pan, Tian"'
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
Autor:
Cummins, Nicholas, White, Lauren L., Rahman, Zahia, Lucas, Catriona, Pan, Tian, Carr, Ewan, Matcham, Faith, Downs, Johnny, Dobson, Richard J., Quatieri, Thomas F., Dineley, Judith
Speech and language biomarkers have the potential to be regular, objective assessments of symptom severity in several health conditions, both in-clinic and remotely using mobile devices. However, the complex nature of speech and often subtle changes
Externí odkaz:
http://arxiv.org/abs/2406.07497
Autor:
Cheng Lian, Chunyi Zhang, Pan Tian, Qilong Tan, Yu Wei, Zixian Wang, Qin Zhang, Qixiang Zhang, Mengjie Zhong, Li-Quan Zhou, Xisong Ke, Huabing Zhang, Yao Zhu, Zhenfei Li, Jingdong Cheng, Gong-Hong Wei
Publikováno v:
Signal Transduction and Targeted Therapy, Vol 9, Iss 1, Pp 1-22 (2024)
Abstract Epigenetic readers frequently affect gene regulation, correlate with disease prognosis, and hold significant potential as therapeutic targets for cancer. Zinc finger MYND-type containing 11 (ZMYND11) is notably recognized for reading the epi
Externí odkaz:
https://doaj.org/article/62d5d4c2a9d74c978df9588ca6d15d3f
Autor:
Mengjie Zhong, Wenjie Xu, Pan Tian, Qin Zhang, Zixian Wang, Limiao Liang, Qixiang Zhang, Yuehong Yang, Ying Lu, Gong‐Hong Wei
Publikováno v:
Advanced Science, Vol 11, Iss 32, Pp n/a-n/a (2024)
Abstract Genetic and epigenetic alterations are cancer hallmark characteristics. However, the role of inherited cancer predisposition alleles in co‐opting lineage factor epigenetic reprogramming and tumor progression remains elusive. Here the FinnG
Externí odkaz:
https://doaj.org/article/52b2215bb66f4b908aa3592e93dfdd0d
Autor:
Yan, Mengyuan, Li, Wen, Zhou, Ziyue, Pan, Tian, Li, Libei, Chai, Meijie, Feng, Zhen, Yu, Shuxun
Publikováno v:
In Industrial Crops & Products 15 December 2024 222 Part 3
Publikováno v:
In Chemico-Biological Interactions 1 August 2024 398
Autor:
Zhu, An-Qi, Luo, Ning, Zhou, Xiao-Ting, Yuan, Min, Zhang, Chu-Mei, Pan, Tian-Ling, Li, Kun-Ping
Publikováno v:
In The Journal of Nutritional Biochemistry June 2024 128
MoCo is effective for unsupervised image representation learning. In this paper, we propose VideoMoCo for unsupervised video representation learning. Given a video sequence as an input sample, we improve the temporal feature representations of MoCo f
Externí odkaz:
http://arxiv.org/abs/2103.05905
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