Zobrazeno 1 - 10
of 5 532
pro vyhledávání: '"Cheng, Xi"'
Autor:
Cheng, Xi, Lei, Ruiqi, Huang, Di, Liao, Zhichao, Piao, Fengyuan, Chen, Yan, Feng, Pingfa, Zeng, Long
Parametric point clouds are sampled from CAD shapes, and have become increasingly prevalent in industrial manufacturing. However, most existing point cloud learning methods focus on the geometric features, such as developing efficient convolution ope
Externí odkaz:
http://arxiv.org/abs/2411.07747
Parking challenges escalate significantly during large events such as concerts and sports games, yet few studies address dynamic parking lot assignments in these occasions. This paper introduces a smart navigation system designed to optimize parking
Externí odkaz:
http://arxiv.org/abs/2410.18983
Autor:
Chen, Xi, Zhang, Zhiyang, Yang, Fangkai, Qin, Xiaoting, Du, Chao, Cheng, Xi, Liu, Hangxin, Lin, Qingwei, Rajmohan, Saravan, Zhang, Dongmei, Zhang, Qi
Large language model (LLM)-based AI delegates are increasingly utilized to act on behalf of users, assisting them with a wide range of tasks through conversational interfaces. Despite their advantages, concerns arise regarding the potential risk of p
Externí odkaz:
http://arxiv.org/abs/2409.17642
The trend of employing training-free methods for point cloud recognition is becoming increasingly popular due to its significant reduction in computational resources and time costs. However, existing approaches are limited as they typically extract e
Externí odkaz:
http://arxiv.org/abs/2409.04760
Autor:
You, Junwei, Shi, Haotian, Jiang, Zhuoyu, Huang, Zilin, Gan, Rui, Wu, Keshu, Cheng, Xi, Li, Xiaopeng, Ran, Bin
Advancements in autonomous driving have increasingly focused on end-to-end (E2E) systems that manage the full spectrum of driving tasks, from environmental perception to vehicle navigation and control. This paper introduces V2X-VLM, an innovative E2E
Externí odkaz:
http://arxiv.org/abs/2408.09251
Algorithmic trading refers to executing buy and sell orders for specific assets based on automatically identified trading opportunities. Strategies based on reinforcement learning (RL) have demonstrated remarkable capabilities in addressing algorithm
Externí odkaz:
http://arxiv.org/abs/2407.01577
Autor:
Su, Gaofeng, Cheng, Xi, Feng, Siyuan, Liu, Ke, Song, Jilin, Chen, Jianan, Zhu, Chen, Lin, Hui
This paper is based on a crucial issue in the aviation world: how to optimize the trajectory and controls given to the aircraft in order to optimize flight time and fuel consumption. This study aims to provide elements of a response to this problem a
Externí odkaz:
http://arxiv.org/abs/2405.08306
Autor:
Liu, Ke, Hu, Fan, Lin, Hui, Cheng, Xi, Chen, Jianan, Song, Jilin, Feng, Siyuan, Su, Gaofeng, Zhu, Chen
This paper explores the optimization of Ground Delay Programs (GDP), a prevalent Traffic Management Initiative used in Air Traffic Management (ATM) to reconcile capacity and demand discrepancies at airports. Employing Reinforcement Learning (RL) to m
Externí odkaz:
http://arxiv.org/abs/2405.08298
Autor:
Liu, Ke, Ding, Kaijing, Cheng, Xi, Xu, Guanhao, Hu, Xin, Liu, Tong, Feng, Siyuan, Cai, Binze, Chen, Jianan, Lin, Hui, Song, Jilin, Zhu, Chen
Since flight delay hurts passengers, airlines, and airports, its prediction becomes crucial for the decision-making of all stakeholders in the aviation industry and thus has been attempted by various previous research. However, previous delay predict
Externí odkaz:
http://arxiv.org/abs/2405.08293
Publikováno v:
Phys. Rev. D 110, 074021 (2024)
Light mesons have always been an important part of the whole hadron family, once inspiring the SU(3) classification of hadrons as a typical example~\cite{Gell-Mann:1964ewy}. Until now, the search for light mesons has been an ongoing task in hadron ph
Externí odkaz:
http://arxiv.org/abs/2404.14075