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pro vyhledávání: '"Li, JiangTao"'
Autor:
Li, Jiangtao
Publikováno v:
Comptes Rendus. Mathématique, Vol 361, Iss G3, Pp 697-713 (2023)
In this paper we define a continuous version of multiple zeta functions. They can be analytically continued to meromorphic functions on $\mathbb{C}^r$ with only simple poles at some special hyperplanes. The evaluations of these functions at positive
Externí odkaz:
https://doaj.org/article/082c289346774028a1b28597b3838ea1
Existing state estimation algorithms for legged robots that rely on proprioceptive sensors often overlook foot slippage and leg deformation in the physical world, leading to large estimation errors. To address this limitation, we propose a comprehens
Externí odkaz:
http://arxiv.org/abs/2411.11483
Pest infestations pose a significant risk to both the quality and quantity of stored grain, resulting in substantial economic losses. Accurate and timely pest monitoring is essential, but traditional methods are time-consuming and labor-intensive, an
Externí odkaz:
http://arxiv.org/abs/2409.07483
We propose a combinatorial ascending auction that is "approximately" optimal, requiring minimal rationality to achieve this level of optimality, and is robust to strategic and distributional uncertainties. Specifically, the auction is rank-guaranteed
Externí odkaz:
http://arxiv.org/abs/2408.12001
Autor:
Li, Jiangtao
In this paper we study the derived sets for the rational deformations of multiple zeta-star values. By using the theory of bounded variation functions, we will give function decompositions which describe the metric structure of the derived sets. The
Externí odkaz:
http://arxiv.org/abs/2309.10259
Autor:
Li, Jiangtao
We provide a multiple integral representation for each multiple zeta-star value, and utilize these representations to establish a natural order structure on the set of such values. This order structure allows for a one-to-one correspondence between a
Externí odkaz:
http://arxiv.org/abs/2309.07569
Autor:
Bregman, Joel, Cen, Renyue, Chen, Yang, Cui, Wei, Fang, Taotao, Guo, Fulai, Hodges-Kluck, Edmund, Huang, Rui, Ho, Luis C., Ji, Li, Ji, Suoqing, Kang, Xi, Lai, Xiaoyu, Li, Hui, Li, Jiangtao, Li, Miao, Li, Xiangdong, Li, Yuan, Li, Zhaosheng, Liang, Guiyun, Liu, Helei, Liu, Wenhao, Lu, Fangjun, Mao, Junjie, Ponti, Gabriele, Qu, Zhijie, Shan, Chenxi, Shao, Lijing, Shi, Fangzheng, Shu, Xinwen, Sun, Lei, Sun, Mouyuan, Tong, Hao, Wang, Junfeng, Wang, Junxian, Wang, Q. Daniel, Wang, Song, Wang, Tinggui, Wang, Weiyang, Wang, Zhongxiang, Xu, Dandan, Xu, Haiguang, Xu, Heng, Xu, Renxin, Xu, Xiaojie, Xue, Yongquan, Yang, Hang, Yuan, Feng, Zhang, Shuinai, Zhang, Yuning, Zhang, Zhongli, Zhao, Yuanyuan, Zhou, Enping, Zhou, Ping
The Hot Universe Baryon Surveyor (HUBS) is a proposed space-based X-ray telescope for detecting X-ray emissions from the hot gas content in our universe. With its unprecedented spatially-resolved high-resolution spectroscopy and large field of view,
Externí odkaz:
http://arxiv.org/abs/2307.05672
Autor:
Liu, Mengmeng, Cheng, Hao, Chen, Lin, Broszio, Hellward, Li, Jiangtao, Zhao, Runjiang, Sester, Monika, Yang, Michael Ying
Trajectory prediction for autonomous driving must continuously reason the motion stochasticity of road agents and comply with scene constraints. Existing methods typically rely on one-stage trajectory prediction models, which condition future traject
Externí odkaz:
http://arxiv.org/abs/2302.13933
Autor:
Zheng, Yun, Wang, Jing, Irwin, Judith, Wang, Q. Daniel, Li, Jiangtao, English, Jayanne, Ma, Qingchuan, Wang, Ran, Wang, Ke, Krause, Marita, Randriamampandry, Toky H., Beck, Rainer
We study the vertical distribution of the highly inclined galaxies from the Continuum Halos in Nearby Galaxies - an EVLA Survey (CHANG-ES). We explore the feasibility of photometrically deriving the HI disk scale-heights from the moment-0 images of t
Externí odkaz:
http://arxiv.org/abs/2205.10263
Autor:
Liu, Xuheng, Deng, Liqin, Zhao, Zhongwei, Chen, Xingyu, Li, Jiangtao, He, Lihua, Sun, Fenglong
Publikováno v:
In Separation and Purification Technology 24 December 2024 351