Zobrazeno 1 - 10
of 41
pro vyhledávání: '"Tianxin Wei"'
Autor:
Mengyun Hou, Lirong Zheng, Di Zhao, Xin Tan, Wuyi Feng, Jiantao Fu, Tianxin Wei, Minhua Cao, Jiatao Zhang, Chen Chen
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-13 (2024)
Abstract The rational design of efficient bifunctional single-atom electrocatalysts for industrial water splitting and the comprehensive understanding of its complex catalytic mechanisms remain challenging. Here, we report a Ni single atoms supported
Externí odkaz:
https://doaj.org/article/ee9a3b8cfb864e508ca24db6d664f682
Autor:
Tianxin Wei, Theodoros Dimopoulos
Publikováno v:
International Journal of Photoenergy, Vol 2013 (2013)
Externí odkaz:
https://doaj.org/article/025fc2c7cb5d498dbedcf1d947bab3cf
Publikováno v:
Journal of Materials Science: Materials in Electronics. 33:12941-12952
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::379a2c492660413d28c7b654481ff88f
https://doi.org/10.1007/s10854-022-08236-3
https://doi.org/10.1007/s10854-022-08236-3
Publikováno v:
New Journal of Chemistry. 45:3102-3111
A novel tetracycline (TC) imprinted polymer was prepared in visible light via synergy of dual functional group monomers methacrylic acid (MAA) and itaconic acid (IA) for the selective detection of TC in urine and milk samples. Surface plasmon resonan
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::309c54ecc931431973b1031d6da45fbd
https://doi.org/10.1039/d0nj05364c
https://doi.org/10.1039/d0nj05364c
Autor:
Tianxin Wei, Jingrui He
In recommender systems, one common challenge is the cold-start problem, where interactions are very limited for fresh users in the systems. To address this challenge, recently, many works introduce the meta-optimization idea into the recommendation s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7ac81d249f3d4d11b79650e66be9f742
Recommender system usually faces popularity bias issues: from the data perspective, items exhibit uneven (long-tail) distribution on the interaction frequency; from the method perspective, collaborative filtering methods are prone to amplify the bias
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bb59f50c0693bff27094401b5e71cd22
Publikováno v:
Database Systems for Advanced Applications ISBN: 9783030731960
DASFAA (2)
DASFAA (2)
End-to-end neural machine translation (NMT) heavily relies on parallel corpora for training. However, high-quality parallel corpora are usually costly to collect. To tackle this problem, multimodal content, especially image, has been introduced to he
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::74c33a626596972dfda14b357cd03447
https://doi.org/10.1007/978-3-030-73197-7_11
https://doi.org/10.1007/978-3-030-73197-7_11
Publikováno v:
ICDM
Collaborative Filtering (CF), as one of the most popular approaches, is widely employed in recommender systems but suffers from the cold-start problem, where interactions are very limited for new users in the system. To deal with this issue, previous
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dcb3266325e11bd095eefe4d46aa9278
https://doi.org/10.1109/icdm50108.2020.00075
https://doi.org/10.1109/icdm50108.2020.00075
Publikováno v:
KDD
The general aim of the recommender system is to provide personalized suggestions to users, which is opposed to suggesting popular items. However, the normal training paradigm, i.e., fitting a recommender model to recover the user behavior data with p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::86c58097934e2abcc3a1f91eb512660e
Publikováno v:
Chinese Science Bulletin. 63:68-77
Molecularly imprinted technique is a versatile and straightforward way to produce artificial receptors for a given target molecule. The molecularly imprinted polymers (MIPs) have received widespread attention and application, owing to their high phys
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ee38df05c0b2d4e1fa9bab68bfc510c0
https://doi.org/10.1360/n972017-00875
https://doi.org/10.1360/n972017-00875