Zobrazeno 1 - 10
of 71 049
pro vyhledávání: '"ZHANG, Xin"'
Autor:
Zhang, Xin, Wang, Cui, Chen, Kai, Clark, Adam H., Hübner, René, Zhan, Jinhua, Zhang, Liang, Eychmüller, Alexander, Cai, Bin
Decentralized electrochemical production of hydrogen peroxide (H₂O₂) is an attractive alternative to the industrial anthraquinone process, the application of which is hindered by the lack of high-performance electrocatalysts in acidic media. Here
Externí odkaz:
https://tud.qucosa.de/id/qucosa%3A94339
https://tud.qucosa.de/api/qucosa%3A94339/attachment/ATT-0/
https://tud.qucosa.de/api/qucosa%3A94339/attachment/ATT-0/
Autor:
Liu, Weichan, Zhang, Xin
An equitable coloring of a graph is a proper coloring where the sizes of any two different color classes do not differ by more than one. We use $\mathcal{G}_{m_1, m_2}$ to represent the class of graphs $G$ that satisfy the following conditions: for a
Externí odkaz:
http://arxiv.org/abs/2411.19801
Autor:
Wei, Jing-Yang, Huang, Hao, Zhang, Xin, Ye, De-Mao, Li, Yi, Wang, Le, Ma, Yao-Guang, Li, Yang-Hui
To provide a lightweight and cost-effective solution for the long-wave infrared imaging using a singlet, we develop a camera by integrating a High-Frequency-Enhancing Cycle-GAN neural network into a metalens imaging system. The High-Frequency-Enhanci
Externí odkaz:
http://arxiv.org/abs/2411.17139
We calculate the values of observables in chiral eigenstates of the XX quantum spin chain that were introduced in in our recent work and compare the form of the result with the respective expressions obtained in the more familiar eigenbasis of states
Externí odkaz:
http://arxiv.org/abs/2411.17877
The 21-cm forest, composed of spectral absorption features from high-redshift background radio sources, provides a unique probe for studying small-scale structures during the epoch of reionization. It is particularly sensitive to detecting small-scal
Externí odkaz:
http://arxiv.org/abs/2411.17094
Autor:
Zhang, Xin-Feng, Liu, Yuan-Fen, Luo, Huan-Bo, Liu, Bin, Dou, Fu-Quan, Li, Yongyao, Malomed, Boris A.
We investigate phase transitions of the ground state (GS) of spin-1 Bose-Einstein condensates under the combined action of the spin-orbit coupling (SOC) and gradient magnetic field. Introducing appropariate raising and lowering operators, we exactly
Externí odkaz:
http://arxiv.org/abs/2411.13938
Publikováno v:
IEEE Transactions on Geoscience and Remote Sensing, vol. 61, pp. 1-16, 2023, Art no. 5214516
Detecting ships in synthetic aperture radar (SAR) images is challenging due to strong speckle noise, complex surroundings, and varying scales. This paper proposes MLDet, a multitask learning framework for SAR ship detection, consisting of object dete
Externí odkaz:
http://arxiv.org/abs/2411.13847
It is well-known that a diverse corpus is critical for training large language models, which are typically constructed from a mixture of various domains. In general, previous efforts resort to sampling training data from different domains with static
Externí odkaz:
http://arxiv.org/abs/2411.14318
Traditional approaches for designing analog circuits are time-consuming and require significant human expertise. Existing automation efforts using methods like Bayesian Optimization (BO) and Reinforcement Learning (RL) are sub-optimal and costly to g
Externí odkaz:
http://arxiv.org/abs/2411.12930
Reinforcement Learning with Human Feedback (RLHF) is the key to the success of large language models (LLMs) in recent years. In this work, we first introduce the concepts of knowledge breadth and knowledge depth, which measure the comprehensiveness a
Externí odkaz:
http://arxiv.org/abs/2411.10914