Zobrazeno 1 - 10
of 1 203
pro vyhledávání: '"Hao, Guang"'
Publikováno v:
AAAI 2024
Active learning (AL) aims to improve model performance within a fixed labeling budget by choosing the most informative data points to label. Existing AL focuses on the single-domain setting, where all data come from the same domain (e.g., the same da
Externí odkaz:
http://arxiv.org/abs/2402.02110
Counterfactual reasoning is pivotal in human cognition and especially important for providing explanations and making decisions. While Judea Pearl's influential approach is theoretically elegant, its generation of a counterfactual scenario often requ
Externí odkaz:
http://arxiv.org/abs/2402.01607
Domain adaptation aims to mitigate distribution shifts among different domains. However, traditional formulations are mostly limited to categorical domains, greatly simplifying nuanced domain relationships in the real world. In this work, we tackle a
Externí odkaz:
http://arxiv.org/abs/2306.07874
Previous studies have shown that leveraging domain index can significantly boost domain adaptation performance (arXiv:2007.01807, arXiv:2202.03628). However, such domain indices are not always available. To address this challenge, we first provide a
Externí odkaz:
http://arxiv.org/abs/2302.02561
Autor:
Sun, Xiaolei, Hao, Guang-Ping, Lu, Xueyi, Xi, Lixia, Liu, Bo, Si, Wenping, Ma, Chuansheng, Liu, Qiming, Zhang, Qiang, Kaskel, Stefan, Schmidt, Oliver G.
Publikováno v:
Journals of materials chemistry (2016), 4(26). S. 10166-10173. ISSN 2050-7488. DOI: 10.1039/C6TA03098J.
We propose an effective strategy to engineer a unique kind of porous carbon cuboid with tightly anchored cobalt/cobalt oxide nanoparticles (PCC–CoOx) that exhibit outstanding electrochemical performance for many key aspects of lithium-ion battery e
Externí odkaz:
http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-221863
http://www.qucosa.de/fileadmin/data/qucosa/documents/22186/c6ta03098j.pdf
http://www.qucosa.de/fileadmin/data/qucosa/documents/22186/c6ta03098j.pdf
Autor:
Sun, Xiaolei, Hao, Guang-Ping, Lu, Xueyi, Xi, Lixia, Liu, Bo, Si, Wenping, Ma, Chuansheng, Liu, Qiming, Zhang, Qiang, Kaskel, Stefan, Schmidt, Oliver G.
Publikováno v:
Journals of materials chemistry (2016), 4(26). S. 10166-10173. ISSN 2050-7488. DOI: 10.1039/C6TA03098J.
We propose an effective strategy to engineer a unique kind of porous carbon cuboid with tightly anchored cobalt/cobalt oxide nanoparticles (PCC–CoOx) that exhibit outstanding electrochemical performance for many key aspects of lithium-ion battery e
Externí odkaz:
https://tud.qucosa.de/id/qucosa%3A30234
https://tud.qucosa.de/api/qucosa%3A30234/attachment/ATT-0/
https://tud.qucosa.de/api/qucosa%3A30234/attachment/ATT-0/
Autor:
Nickel, Winfried, Oschatz, Martin, von der Lehr, Martin, Leistner, Matthias, Hao, Guang-Ping, Adelhelm, Philipp, Müller, Philipp, Smarsly, Bernd M., Kaskel, Stefan
Publikováno v:
Journal of materials chemistry A, 2014,2, 12703-12707, ISSN: 2050-7496
Carbide-derived carbon Monoliths (CDC-Ms) containing a multimodal arrangement with high volumes of micro- meso- and macropores are prepared by direct nanocasting of silica monoliths with polycarbosilane precursors. CDC-Ms show well-defined pore struc
Externí odkaz:
http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-151398
http://www.qucosa.de/fileadmin/data/qucosa/documents/15139/c4ta02260b.pdf
http://www.qucosa.de/fileadmin/data/qucosa/documents/15139/c4ta02260b.pdf
Autor:
Li, Hao-Guang, Xu, Chao-Jiang
In this work, we study the nonlinear spatially homogeneous Landau equation with hard potential in a close-to-equilibrium framework, we show that the solution to the Cauchy problem with $L^2$ initial datum enjoys a analytic Gelfand-Shilov regularizing
Externí odkaz:
http://arxiv.org/abs/2205.10482
Autor:
Li, Hao-Guang, Xu, Chao-Jiang
In this work, we study the linear Landau equation with soft potential and show that the solution to the Cauchy problem with initial datum in $L^{2}(\mathbb{R}^3)$ enjoys an analytic regularizing effect, and the evolution of analytic radius is same as
Externí odkaz:
http://arxiv.org/abs/2205.07270
Autor:
Fu, Pei-Li, Zhang, Ya, Qi, Jin-Hua, Zhang, Yong-Jiang, Hao, Guang-You, Finnegan, Patrick M., Yan, Qiao-Shun, Fan, Ze-Xin
Publikováno v:
In Agricultural and Forest Meteorology 1 June 2024 352