Zobrazeno 1 - 10
of 719
pro vyhledávání: '"LIU Jinpeng"'
Publikováno v:
电力工程技术, Vol 42, Iss 2, Pp 20-28 (2023)
Given the practical issues of the traditional power system's insufficient operational flexibility in the face of changing residential power load and source-side output, demand response can effectively improve the flexibility, safety and economic bene
Externí odkaz:
https://doaj.org/article/5eed3db210bd4a149f3b832506f3842d
This work introduces MotionLCM, extending controllable motion generation to a real-time level. Existing methods for spatial-temporal control in text-conditioned motion generation suffer from significant runtime inefficiency. To address this issue, we
Externí odkaz:
http://arxiv.org/abs/2404.19759
Hoeffding's inequality is a fundamental tool widely applied in probability theory, statistics, and machine learning. In this paper, we establish Hoeffding's inequalities specifically tailored for an irreducible and positive recurrent continuous-time
Externí odkaz:
http://arxiv.org/abs/2404.14888
Autor:
Lin Xiao, Liu Jinpeng, Hao Jianying, Wang Kun, Zhang Yuanying, Li Hui, Horimai Hideyoshi, Tan Xiaodi
Publikováno v:
Opto-Electronic Advances, Vol 3, Iss 3, Pp 190004-1-190004-8 (2020)
In the era of information explosion, the demand of data storage is increased dramatically. Holographic data storage technology is one of the most promising next-generation data storage technologies due to its high storage density, fast data transfer
Externí odkaz:
https://doaj.org/article/95d45b486bf4407ab5c810c8764dd706
Conventional text-to-motion generation methods are usually trained on limited text-motion pairs, making them hard to generalize to open-world scenarios. Some works use the CLIP model to align the motion space and the text space, aiming to enable moti
Externí odkaz:
http://arxiv.org/abs/2312.14828
Publikováno v:
E3S Web of Conferences, Vol 253, p 03062 (2021)
With the continuous and rapid development of the national economy and the improvement of people's living standards, the construction of regional power grids is gradually increasing, and the corresponding investment will also increase. If the scale of
Externí odkaz:
https://doaj.org/article/fc4ab670151046a49ef10d118371fcee
Autor:
Tang, Yansong, Liu, Jinpeng, Liu, Aoyang, Yang, Bin, Dai, Wenxun, Rao, Yongming, Lu, Jiwen, Zhou, Jie, Li, Xiu
With the continuously thriving popularity around the world, fitness activity analytic has become an emerging research topic in computer vision. While a variety of new tasks and algorithms have been proposed recently, there are growing hunger for data
Externí odkaz:
http://arxiv.org/abs/2212.04638
Autor:
Xiang, Kun, Zhang, Xing, She, Jinwen, Liu, Jinpeng, Wang, Haohan, Deng, Shiqi, Jiang, Shancheng
As the COVID-19 pandemic puts pressure on healthcare systems worldwide, the computed tomography image based AI diagnostic system has become a sustainable solution for early diagnosis. However, the model-wise vulnerability under adversarial perturbati
Externí odkaz:
http://arxiv.org/abs/2211.16806
In this paper, we are devoted to developing matrix-analytic methods for solving Poisson's equation for irreducible and positive recurrent discrete-time Markov chains (DTMCs). Two special solutions, including the deviation matrix D and the expected ad
Externí odkaz:
http://arxiv.org/abs/2204.09972
Publikováno v:
In Journal of Pharmaceutical Analysis December 2024 14(12)