Zobrazeno 1 - 10
of 84
pro vyhledávání: '"Lifan, Zhao"'
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 14, Pp 1728-1740 (2021)
Due to the independence of azimuth invariance and high implementing efficiency, a fast time-domain algorithm has significant advantages for airborne bistatic synthetic aperture radar (BiSAR) data process with general geometric configuration. In this
Externí odkaz:
https://doaj.org/article/8ea05848ab25493eb631cdec79685f78
Publikováno v:
ACM Transactions on Information Systems. 41:1-26
Click-Through Rate (CTR) prediction on cold users is a challenging task in recommender systems. Recent researches have resorted to meta-learning to tackle the cold-user challenge, which either perform few-shot user representation learning or adopt op
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c411e2ec599af0375e6cd24bac47a8f8
https://doi.org/10.1145/3564283
https://doi.org/10.1145/3564283
Publikováno v:
Computer Modeling in Engineering & Sciences. 136:2741-2758
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b7e619332b7bafd9d891a6aae5d105d2
https://doi.org/10.32604/cmes.2023.025500
https://doi.org/10.32604/cmes.2023.025500
Publikováno v:
Proceedings of the AAAI Conference on Artificial Intelligence. 36:3426-3435
Unsupervised image-to-image (UI2I) translation methods aim to learn a mapping between different visual domains with well-preserved content and consistent structure. It has been proven that the generated images are quite useful for enhancing the perfo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dde82952da846194487691f3f56fdbb0
https://doi.org/10.1609/aaai.v36i3.20253
https://doi.org/10.1609/aaai.v36i3.20253
Autor:
Muyang Ma, Pengjie Ren, Zhumin Chen, Zhaochun Ren, Lifan Zhao, Peiyu Liu, Jun Ma, Maarten de Rijke
Publikováno v:
ACM Transactions on Knowledge Discovery from Data. 16:1-32
Cross-domain sequential recommendation is the task of predict the next item that the user is most likely to interact with based on past sequential behavior from multiple domains. One of the key challenges in cross-domain sequential recommendation is
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::018533a594ed88bd8c06654c3131d151
https://doi.org/10.1145/3487331
https://doi.org/10.1145/3487331
Publikováno v:
2022 IEEE International Conference on Multimedia and Expo (ICME).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7dc6e2350e0c75aa34bb1e90a42d5660
https://doi.org/10.1109/icme52920.2022.9859712
https://doi.org/10.1109/icme52920.2022.9859712
Publikováno v:
Applied Sciences, Vol 9, Iss 13, p 2711 (2019)
In this paper, we propose and evaluate a novel light-emitting diode (LED) nonlinearity estimation and compensation scheme using probabilistic Bayesian learning (PBL) for spectral-efficient visible light communication (VLC) systems. The nonlinear powe
Externí odkaz:
https://doaj.org/article/6458d06608b04731938d603d91a919fd
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 14, Pp 1728-1740 (2021)
Due to the independence of azimuth invariance and high implementing efficiency, a fast time-domain algorithm has significant advantages for airborne bistatic synthetic aperture radar (BiSAR) data process with general geometric configuration. In this
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::68c4fa5178990db85b3ad24503d7b02b
https://doi.org/10.1109/jstars.2020.3002394
https://doi.org/10.1109/jstars.2020.3002394
Publikováno v:
IEEE Transactions on Geoscience and Remote Sensing. 58:5132-5147
Conventional sparsity-driven synthetic aperture radar (SAR) imagery often encounters the sensitivity of nonsystematic errors and highly computational load. In this article, a cooperative multitask learning algorithm is proposed based on an autocalibr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1e49413665d6751afc998224570d83a4
https://doi.org/10.1109/tgrs.2020.2972972
https://doi.org/10.1109/tgrs.2020.2972972
Publikováno v:
Remote Sensing, Vol 10, Iss 2, p 321 (2018)
Synthetic Aperture Radar (SAR) imaging with a non-zero (forward) squint angle is capable of providing a longer time for reaction than that of the broadside mode. However, due to the large squint angle, there will be severe coupling between range and
Externí odkaz:
https://doaj.org/article/ad11bbb4b0a1452199bd4ff10d744318