Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Rusheng Pan"'
Publikováno v:
Visual Informatics, Vol 7, Iss 4, Pp 84-94 (2023)
One main challenge for simplifying node-link diagrams of large-scale social networks lies in that simplified graphs generally contain dense subgroups or cohesive subgraphs. Graph triangles quantify the solid and stable relationships that maintain coh
Externí odkaz:
https://doaj.org/article/3502eae477f549ab90e3a54bd1410c69
Publikováno v:
Visual Informatics, Vol 5, Iss 4, Pp 34-40 (2021)
Song Ci is treasured in traditional Chinese culture, which indicates social and cultural evolution in ancient times. Despite the efforts by historians and litterateurs in investigating the characteristics of Song Ci, it is still unclear how to effect
Externí odkaz:
https://doaj.org/article/f60beef19789473fbe2ae5665d1afc64
Autor:
Rusheng Pan, Zhiyong Wang, Yating Wei, Han Gao, Gongchang Ou, Caleb Chen Cao, Jingli Xu, Tong Xu, Wei Chen
Publikováno v:
IEEE Transactions on Visualization and Computer Graphics. :1-14
A computational graph in a deep neural network (DNN) denotes a specific data flow diagram (DFD) composed of many tensors and operators. Existing toolkits for visualizing computational graphs are not applicable when the structure is highly complicated
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::84c5c5adc6fdd502065960194ac20217
https://doi.org/10.1109/tvcg.2022.3230832
https://doi.org/10.1109/tvcg.2022.3230832
Autor:
Wei Chen, Nan Cao, Jingrui He, Jiacheng Pan, Dawei Zhou, Mingliang Xu, Dongming Han, Rusheng Pan
Publikováno v:
Frontiers of Computer Science. 16
Multivariate dynamic networks indicate networks whose topology structure and vertex attributes are evolving along time. They are common in multimedia applications. Anomaly detection is one of the essential tasks in analyzing these networks though it
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::08dbbe38f541e21d342ae645f61516bd
https://doi.org/10.1007/s11704-020-0013-1
https://doi.org/10.1007/s11704-020-0013-1
Autor:
Jia-Kai Chou, Kwan-Liu Ma, Wei Chen, Rusheng Pan, Huihua Guan, Chris Bryan, Wenlong Chen, Xumeng Wang
Publikováno v:
IEEE Transactions on Visualization and Computer Graphics. 25:193-203
Analyzing social networks reveals the relationships between individuals and groups in the data. However, such analysis can also lead to privacy exposure (whether intentionally or inadvertently): leaking the real-world identity of ostensibly anonymous
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cfaf76f78a6dd9d6823bd24cc625c770
https://doi.org/10.1109/tvcg.2018.2865021
https://doi.org/10.1109/tvcg.2018.2865021