Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Ziheng Duan"'
Autor:
Che Yu Lee, Dylan Riffle, Yifeng Xiong, Nadia Momtaz, Yutong Lei, Joseph M. Pariser, Diptanshu Sikdar, Ahyeon Hwang, Ziheng Duan, Jing Zhang
Publikováno v:
BMC Neuroscience, Vol 25, Iss 1, Pp 1-11 (2024)
Abstract Background Alzheimer’s disease (AD) is a devastating neurodegenerative disorder affecting 44 million people worldwide, leading to cognitive decline, memory loss, and significant impairment in daily functioning. The recent single-cell seque
Externí odkaz:
https://doaj.org/article/f35ccef29f1c4748b2e1dcf20db29637
Autor:
Ziheng Duan, Yi Dai, Ahyeon Hwang, Cheyu Lee, Kaichi Xie, Chutong Xiao, Min Xu, Matthew J Girgenti, Jing Zhang
Publikováno v:
PLoS Computational Biology, Vol 19, Iss 9, p e1011444 (2023)
Different genes form complex networks within cells to carry out critical cellular functions, while network alterations in this process can potentially introduce downstream transcriptome perturbations and phenotypic variations. Therefore, developing e
Externí odkaz:
https://doaj.org/article/f1fa8a0a4700406b85f458ebfaff7341
Publikováno v:
APSIPA Transactions on Signal and Information Processing, Vol 12, Iss 5 (2023)
Externí odkaz:
https://doaj.org/article/553fb00305ce4aa7b30aaa883397eca8
Autor:
Che Yu Lee, Yuhang Chen, Ziheng Duan, Min Xu, Matthew J Girgenti, Ke Xu, Mark Gerstein, Jing Zhang
Publikováno v:
PLoS Computational Biology, Vol 18, Iss 10, p e1010636 (2022)
Early and accurate detection of viruses in clinical and environmental samples is essential for effective public healthcare, treatment, and therapeutics. While PCR detects potential pathogens with high sensitivity, it is difficult to scale and require
Externí odkaz:
https://doaj.org/article/7bd62ffc0d0f47768fbe613db5244c5b
Publikováno v:
Applied Intelligence. 52:16214-16232
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4baeae83fae2b3f931f43cfcd9cb99ec
https://doi.org/10.1007/s10489-022-03340-7
https://doi.org/10.1007/s10489-022-03340-7
Publikováno v:
Neurocomputing. 439:348-362
Graph similarity computation aims to predict a similarity score between one pair of graphs to facilitate downstream applications, such as finding the most similar chemical compounds similar to a query compound or Fewshot 3D Action Recognition. Recent
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::45d4fc5937079a10791e5d6c74f1fd1c
https://doi.org/10.1016/j.neucom.2021.01.068
https://doi.org/10.1016/j.neucom.2021.01.068
Publikováno v:
Powder Technology. 383:159-166
Granular flow has solid-, liquid-, or even gas-like behaviors, which can be described through discrete element method (DEM)-based simulations. Although the DEM simulation has advantages in studying particle-scale information, it is computationally in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8c9c80bf10e93d61fb2f729f28d08a94
https://doi.org/10.1016/j.powtec.2021.01.041
https://doi.org/10.1016/j.powtec.2021.01.041
Autor:
Ziheng Duan, Haoyan Xu, Yueyang Wang, Yida Huang, Anni Ren, Zhongbin Xu, Yizhou Sun, Wei Wang
Publikováno v:
Neural networks : the official journal of the International Neural Network Society. 154
In recent years, multivariate time-series classification (MTSC) has attracted considerable attention owing to the advancement of sensing technology. Existing deep-learning-based MTSC techniques, which mostly rely on convolutional or recurrent neural
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d6622c20d8a85d9de99c3a3297411ae2
https://pubmed.ncbi.nlm.nih.gov/35970026
https://pubmed.ncbi.nlm.nih.gov/35970026
Publikováno v:
Frontiers of Mechanical Engineering. 15:181-192
For quadruped robots with springy legs, a successful jump usually requires both suitable elastic parts and well-designed control algorithms. However, these two problems are mutually restricted and hard to solve at the same time. In this study, we att
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::aed59b1c6928a4040c9a324549401557
https://doi.org/10.1007/s11465-019-0559-5
https://doi.org/10.1007/s11465-019-0559-5
Multivariate time series (MTS) forecasting is an essential problem in many fields. Accurate forecasting results can effectively help decision-making. To date, many MTS forecasting methods have been proposed and widely applied. However, these methods
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fdb0ed0516414e57f6e9b144a4ccee11
