Zobrazeno 1 - 10
of 2 904
pro vyhledávání: '"GE, Yan"'
Autor:
Ge, Yan, Wenjie, Wu, Yuheng, Chen, Kaisen, Pan, Xudong, Lu, Zixiang, Zhou, Yuhan, Wang, Ruocheng, Wang, Junchi, Yan
Quantum computing is regarded as a promising paradigm that may overcome the current computational power bottlenecks in the post-Moore era. The increasing maturity of quantum processors, especially superconducting ones, provides more possibilities for
Externí odkaz:
http://arxiv.org/abs/2407.00736
Publikováno v:
16th International Conference on Agents and Artificial Intelligence (ICAART), Volume 2, Feb. 2024, pp. 431-442
Forecasting future stock trends remains challenging for academia and industry due to stochastic inter-stock dynamics and hierarchical intra-stock dynamics influencing stock prices. In recent years, graph neural networks have achieved remarkable perfo
Externí odkaz:
http://arxiv.org/abs/2401.01846
Autor:
Pengfei Cao, Ning Duan, Zhikai Zhao, Mengqiang Yu, Congcong Li, Mingrui Yuan, Lin Cheng, Ge Yan
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-14 (2024)
Abstract In the big data era, mode division multiplexing, as a technology for extended channel capacity, demonstrates potential in enhancing parallel data processing capability. Consequently, developing a compact, high-performance mode converter thro
Externí odkaz:
https://doaj.org/article/74b9171f07644beaac7a89a05d545b3e
Data visualization has emerged as an effective tool for getting insights from massive datasets. Due to the hardness of manipulating the programming languages of data visualization, automatic data visualization generation from natural languages (Text-
Externí odkaz:
http://arxiv.org/abs/2309.07650
Autor:
Ciucci, Sara, Ge, Yan, Durán, Claudio, Palladini, Alessandra, Jiménez-Jiménez, Víctor, Martínez-Sánchez, Luisa María, Wang, Yutin, Sales, Susanne, Shevchenko, Andrej, Poser, Steven W., Herbig, Maik, Otto, Oliver, Androutsellis-Theotokis, Andreas, Guck, Jochen, Gerl, Mathias J., Cannistraci, Carlo Vittorio
Publikováno v:
Scientific Reports 2017, 7, ISSN: 2045-2322. DOI: doi:10.1038/srep43946. Artikelnr.: 43946.
Omic science is rapidly growing and one of the most employed techniques to explore differential patterns in omic datasets is principal component analysis (PCA). However, a method to enlighten the network of omic features that mostly contribute to the
Externí odkaz:
http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-226961
http://www.qucosa.de/fileadmin/data/qucosa/documents/22696/srep43946.pdf
http://www.qucosa.de/fileadmin/data/qucosa/documents/22696/srep43946.pdf
We prove several new families of Bernstein inequalities of two types on the simplex. The first type consists of inequalities in $L^2$ norm for the Jacobi weight, some of which are sharp, and they are established via the spectral operator that has ort
Externí odkaz:
http://arxiv.org/abs/2307.01839
Stock selection is important for investors to construct profitable portfolios. Graph neural networks (GNNs) are increasingly attracting researchers for stock prediction due to their strong ability of relation modelling and generalisation. However, th
Externí odkaz:
http://arxiv.org/abs/2306.15526
Publikováno v:
Chinese Journal of Contemporary Neurology and Neurosurgery, Vol 24, Iss 10, Pp 858-864 (2024)
Externí odkaz:
https://doaj.org/article/352f5251ba744c7cb9b2eec3dbdbd352