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pro vyhledávání: '"Chen, Jiale"'
Autor:
Chen, Jiale
In this paper, we completely characterize the positive Borel measures $\mu$ on the unit ball $\mathbb{B}_n$ of $\mathbb{C}^n$ such that the Carleson embedding from holomorphic Hardy type tent spaces $\mathcal{HT}^p_{q,\alpha}$ into the tent spaces $T
Externí odkaz:
http://arxiv.org/abs/2406.18866
We introduce a novel method for acquiring boundary representations (B-Reps) of 3D CAD models which involves a two-step process: it first applies a spatial partitioning, referred to as the ``split``, followed by a ``fit`` operation to derive a single
Externí odkaz:
http://arxiv.org/abs/2406.05261
Autor:
Chen, Jiale
Let $2\leq p<\infty$ and $X$ be a complex infinite-dimensional Banach space. It is proved that if $X$ is $p$-uniformly PL-convex, then there is no nontrivial bounded Volterra operator from the weak Hardy space $\mathscr{H}^{\text{weak}}_p(X)$ to the
Externí odkaz:
http://arxiv.org/abs/2404.04896
In this paper, we completely give the solution of the problem of Littlewood-type randomization in the Hardy and Bergman spaces of Dirichlet series. The Littlewood-type theorem for Bergman spaces of Dirichlet series is very different from the correspo
Externí odkaz:
http://arxiv.org/abs/2402.00314
We provide an algorithm that maintains, against an adaptive adversary, a $(1-\varepsilon)$-approximate maximum matching in $n$-node $m$-edge general (not necessarily bipartite) undirected graph undergoing edge deletions with high probability with (am
Externí odkaz:
http://arxiv.org/abs/2312.09077
The cold-start problem is a common challenge for most recommender systems. The practical application of most cold-start methods is hindered by the deficiency in auxiliary content information for users. Moreover, most methods necessitate simultaneous
Externí odkaz:
http://arxiv.org/abs/2311.01304
For photonic crystal slab (PCS) structures, bound states in the continuum (BICs) and circularly polarized states (dubbed C-points) are important topological polarization singularities in momentum-space and have attracted burgeoning attention due to t
Externí odkaz:
http://arxiv.org/abs/2310.17184
Autor:
Si, Zihua, Sun, Zhongxiang, Chen, Jiale, Chen, Guozhang, Zang, Xiaoxue, Zheng, Kai, Song, Yang, Zhang, Xiao, Xu, Jun
The retrieval phase is a vital component in recommendation systems, requiring the model to be effective and efficient. Recently, generative retrieval has become an emerging paradigm for document retrieval, showing notable performance. These methods e
Externí odkaz:
http://arxiv.org/abs/2309.13375
We use tropical algebras as platforms for a very efficient digital signature protocol. Security relies on computational hardness of factoring one-variable tropical polynomials; this problem is known to be NP-hard.
Comment: 10 pages
Comment: 10 pages
Externí odkaz:
http://arxiv.org/abs/2309.11256
Autor:
Kong, Lingdong, Niu, Yaru, Xie, Shaoyuan, Hu, Hanjiang, Ng, Lai Xing, Cottereau, Benoit R., Zhao, Ding, Zhang, Liangjun, Wang, Hesheng, Ooi, Wei Tsang, Zhu, Ruijie, Song, Ziyang, Liu, Li, Zhang, Tianzhu, Yu, Jun, Jing, Mohan, Li, Pengwei, Qi, Xiaohua, Jin, Cheng, Chen, Yingfeng, Hou, Jie, Zhang, Jie, Kan, Zhen, Ling, Qiang, Peng, Liang, Li, Minglei, Xu, Di, Yang, Changpeng, Yao, Yuanqi, Wu, Gang, Kuai, Jian, Liu, Xianming, Jiang, Junjun, Huang, Jiamian, Li, Baojun, Chen, Jiale, Zhang, Shuang, Ao, Sun, Li, Zhenyu, Chen, Runze, Luo, Haiyong, Zhao, Fang, Yu, Jingze
Accurate depth estimation under out-of-distribution (OoD) scenarios, such as adverse weather conditions, sensor failure, and noise contamination, is desirable for safety-critical applications. Existing depth estimation systems, however, suffer inevit
Externí odkaz:
http://arxiv.org/abs/2307.15061