Zobrazeno 1 - 10
of 104
pro vyhledávání: '"Tan Zhiwen"'
Autor:
Yu Guangming, Xia Pengju, Zhang Yongyi, Shi Qimeng, Lei Jun, Song Pengfei, Tan Zhiwen, Liu Hao, Chen Ze
Publikováno v:
Frontiers in Earth Science, Vol 10 (2022)
When constructing subway tunnels in coastal cities, boulders with high strength and large volume are often encountered. A large number of engineering practices have shown that the existence of boulders will destroy the unity and homogeneity of the st
Externí odkaz:
https://doaj.org/article/980cfd42cf0241099d9e63c01f0e75b9
Autor:
Cai, Tianchi, Tan, Zhiwen, Song, Xierui, Sun, Tao, Jiang, Jiyan, Xu, Yunqi, Zhang, Yinger, Gu, Jinjie
Publikováno v:
KDD 2024
Retrieval Augmented Generation (RAG) has become prevalent in question-answering (QA) tasks due to its ability of utilizing search engine to enhance the quality of long-form question-answering (LFQA). Despite the emergence of various open source metho
Externí odkaz:
http://arxiv.org/abs/2406.13779
In epidemiological and clinical studies, identifying patients' phenotypes based on longitudinal profiles is critical to understanding the disease's developmental patterns. The current study was motivated by data from a Canadian birth cohort study, th
Externí odkaz:
http://arxiv.org/abs/2210.08385
Autor:
Ding, Yujie, Tan, Zhiwen, Xu, Cheng, Munang’andu, Hetron Mweemba, Huang, Qiuya, Liu, Chentao, Wang, Wei, Qian, Guoying, Xu, Jiehao
Publikováno v:
In Aquaculture 15 February 2025 596 Part 2
Autor:
Fu, Chaohua, Lei, Yaling, Liang, Lin, Jiang, Jianxiong, Qin, Ying, Lao, Yongbin, Tan, Zhiwen, Wang, Yuansheng, Liu, Qiuling
Publikováno v:
In Neuroscience Letters 27 July 2024 836
The long-tailed distribution datasets poses great challenges for deep learning based classification models on how to handle the class imbalance problem. Existing solutions usually involve class-balacing strategies or transfer learing from head- to ta
Externí odkaz:
http://arxiv.org/abs/2104.09830
Publikováno v:
In Food Hydrocolloids February 2024 147 Part A
Unsupervised domain adaptation aims at transferring knowledge from the labeled source domain to the unlabeled target domain. Previous adversarial domain adaptation methods mostly adopt the discriminator with binary or $K$-dimensional output to perfor
Externí odkaz:
http://arxiv.org/abs/2001.00153
Transfer learning has been demonstrated to be successful and essential in diverse applications, which transfers knowledge from related but different source domains to the target domain. Online transfer learning(OTL) is a more challenging problem wher
Externí odkaz:
http://arxiv.org/abs/1912.13226
Autor:
Mei, Kang, Liu, Jingchun, Xue, Liyang, Xu, Jicong, Jiang, Wanlin, Tan, Zhiwen, Li, Anran, Qu, Jinyi, Yan, Chongling
Publikováno v:
In Marine Pollution Bulletin April 2023 189