Zobrazeno 1 - 10
of 203
pro vyhledávání: '"Ruimin Shen"'
Publikováno v:
Micromachines, Vol 14, Iss 2, p 444 (2023)
Traffic splitting enabled by Globally Asynchronous Locally Synchronous (GALS) Network-on-chip (NoC) brings multipath routing capability, which significantly increases link bandwidth at the cost of out-of-order packet delivery. Solving the packet reor
Externí odkaz:
https://doaj.org/article/a3edbfc14b534733ade44eb090ed2d28
Publikováno v:
IEEE Transactions on Affective Computing. 13:1452-1465
Emotion analysis of students plays an important role in teaching effect evaluation. To develop robust algorithms for emotion analysis of students, a database from real classrooms is required. However, most existing databases were collected from adult
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::09a328b88cd35403b3421893328ac12d
https://doi.org/10.1109/taffc.2020.3006392
https://doi.org/10.1109/taffc.2020.3006392
Autor:
Zungui Shao, Ruimin Shen, Ziyue Zeng, Haonan Li, Huatan Chen, Guoyi Kang, Jiaxin Jiang, Xiang Wang, Wenwang Li, Yifang Liu, Gaofeng Zheng
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c55a303ad31f9db926eb8c4488c3478d
https://doi.org/10.2139/ssrn.4363344
https://doi.org/10.2139/ssrn.4363344
Despite the emerging progress of integrating evolutionary computation into reinforcement learning, the absence of a high-performance platform endowing composability and massive parallelism causes non-trivial difficulties for research and applications
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::953b3bfc56706f87c4e565645ad9b0df
http://arxiv.org/abs/2209.10055
http://arxiv.org/abs/2209.10055
Autor:
Gaofeng Zheng, Ziyue Zeng, Zungui Shao, Ruimin Shen, Haonan Li, Jiaxin Jiang, Xiang Wang, Wenwang Li, Yifang Liu
Publikováno v:
Materials Chemistry and Physics. 301:127647
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a05f7db4d76b30549f62c5eeb210c1a4
https://doi.org/10.1016/j.matchemphys.2023.127647
https://doi.org/10.1016/j.matchemphys.2023.127647
Autor:
Shengxiang Yang, Yingfeng Chen, Changjie Fan, Guangwu Cui, Ruimin Shen, Jinghua Zheng, Juan Zou
Publikováno v:
2020 3rd International Conference on Algorithms, Computing and Artificial Intelligence.
In the field of game designing, artificial intelligence is used to generate responsive, adaptive, or intelligent behaviors primarily in Non-Player-Characters (NPCs). There is a large demand for controlling game AI since a variety of players expect to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b185b1206bc464c0b2bf0eb5b89a5b01
https://doi.org/10.1145/3446132.3446165
https://doi.org/10.1145/3446132.3446165
Publikováno v:
IJCAI
Students’ gestures, hand-raising, stand-up, and sleeping, indicates the engagement of students in classrooms and partially reflects teaching quality. Therefore, fast and automatically recognizing these gestures are of great importance. Due to limit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f0b9610dc35bfd145b4262e85db2721b
https://doi.org/10.24963/ijcai.2020/95
https://doi.org/10.24963/ijcai.2020/95
Publikováno v:
IJCAI
Generating diverse behaviors for game artificial intelligence (Game AI) has been long recognized as a challenging task in the game industry. Designing a Game AI with a satisfying behavioral characteristic (style) heavily depends on the domain knowled
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f7b5827c3dd017993e93f1f2d0374966
https://doi.org/10.24963/ijcai.2020/466
https://doi.org/10.24963/ijcai.2020/466
Publikováno v:
ICASSP
In this paper, we design an intelligent student behavior analysis system for recorded classrooms, which automatically detects hand-raising, standing, and sleeping behaviors of students. Detecting these behaviors is quite challenging mainly due to var
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a8004da88a0ce9825b9607640f19a29c
https://doi.org/10.1109/icassp40776.2020.9053457
https://doi.org/10.1109/icassp40776.2020.9053457