Zobrazeno 1 - 10
of 110 669
pro vyhledávání: '"WANG, YAN"'
Autor:
Zhao, Yuqian, Ma, Zhaohua, He, Zhangzhen, Liao, Haijun, Wang, Yan-Cheng, Wang, Junfeng, Li, Yuesheng
Publikováno v:
Nat. Commun. 15, 3495 (2024)
Quantum annealing, which involves quantum tunnelling among possible solutions, has state-of-the-art applications not only in quickly finding the lowest-energy configuration of a complex system, but also in quantum computing. Here we report a single-c
Externí odkaz:
http://arxiv.org/abs/2411.18167
Facial Expression Recognition has a wide application prospect in social robotics, health care, driver fatigue monitoring, and many other practical scenarios. Automatic recognition of facial expressions has been extensively studied by the Computer Vis
Externí odkaz:
http://arxiv.org/abs/2411.17254
Open-vocabulary 3D object detection has recently attracted considerable attention due to its broad applications in autonomous driving and robotics, which aims to effectively recognize novel classes in previously unseen domains. However, existing poin
Externí odkaz:
http://arxiv.org/abs/2411.15657
Autor:
Jia, Xiaojun, Huang, Yihao, Liu, Yang, Tan, Peng Yan, Yau, Weng Kuan, Mak, Mun-Thye, Sim, Xin Ming, Ng, Wee Siong, Ng, See Kiong, Liu, Hanqing, Zhou, Lifeng, Yan, Huanqian, Sun, Xiaobing, Liu, Wei, Wang, Long, Qian, Yiming, Liu, Yong, Yang, Junxiao, Zhang, Zhexin, Lei, Leqi, Chen, Renmiao, Lu, Yida, Cui, Shiyao, Wang, Zizhou, Li, Shaohua, Wang, Yan, Goh, Rick Siow Mong, Zhen, Liangli, Zhang, Yingjie, Zhao, Zhe
This paper introduces the Global Challenge for Safe and Secure Large Language Models (LLMs), a pioneering initiative organized by AI Singapore (AISG) and the CyberSG R&D Programme Office (CRPO) to foster the development of advanced defense mechanisms
Externí odkaz:
http://arxiv.org/abs/2411.14502
Autor:
Zhang, Wei-Yang, Dong, Feng-Lian, Wei, Zhi-Wei, Wang, Yan-Ru, Xu, Ze-Jin, Chen, Wei-Kun, Dai, Yu-Hong
The distributed recursion (DR) algorithm is an effective method for solving the pooling problem that arises in many applications. It is based on the well-known P-formulation of the pooling problem, which involves the flow and quality variables; and i
Externí odkaz:
http://arxiv.org/abs/2411.09554
Autor:
Shao, Yihua, Liang, Siyu, Lin, Xiaolin, Ling, Zijian, Zhu, Zixian, Yan, Minxi, Liu, Haiyang, Chen, Siyu, Yan, Ziyang, Meng, Yilan, Zhang, Chenyu, Qin, Haotong, Magno, Michele, Yang, Yang, Lei, Zhen, Wang, Yan, Guo, Jingcai, Shao, Ling, Tang, Hao
Large language models (LLMs) show impressive performance in solving complex languagetasks. However, its large number of parameterspresent significant challenges for the deployment and application of the model on edge devices. Compressing large langua
Externí odkaz:
http://arxiv.org/abs/2411.00850
Explainable Behavior Cloning: Teaching Large Language Model Agents through Learning by Demonstration
Autor:
Guan, Yanchu, Wang, Dong, Wang, Yan, Wang, Haiqing, Sun, Renen, Zhuang, Chenyi, Gu, Jinjie, Chu, Zhixuan
Autonomous mobile app interaction has become increasingly important with growing complexity of mobile applications. Developing intelligent agents that can effectively navigate and interact with mobile apps remains a significant challenge. In this pap
Externí odkaz:
http://arxiv.org/abs/2410.22916
Autor:
Lin, Yuxuan, Chang, Yang, Tong, Xuan, Yu, Jiawen, Liotta, Antonio, Huang, Guofan, Song, Wei, Zeng, Deyu, Wu, Zongze, Wang, Yan, Zhang, Wenqiang
In the advancement of industrial informatization, Unsupervised Industrial Anomaly Detection (UIAD) technology effectively overcomes the scarcity of abnormal samples and significantly enhances the automation and reliability of smart manufacturing. Whi
Externí odkaz:
http://arxiv.org/abs/2410.21982
In this paper, channel estimation (CE) of intelligent reflecting surface aided near-field (NF) multi-user communication is investigated. Initially, the least square (LS) estimator and minimum mean square error (MMSE) estimator for the estimated chann
Externí odkaz:
http://arxiv.org/abs/2410.20992
Autor:
Wang, Yan, Grabicki, Niklas, Orio, Hibiki, Li, Juan, Gao, Jie, Zhang, Xiaoxi, Cerqueira, Tiago F. T., Marques, Miguel A. L., Jiang, Zhaotan, Reinert, Friedrich, Dumele, Oliver, Palma, Carlos-Andres
The fabrication of well-defined, low-dimensional diamondoid-based materials is a promising approach for tailoring diamond properties such as superconductivity. On-surface self-assembly of halogenated diamondoids under ultrahigh vacuum conditions repr
Externí odkaz:
http://arxiv.org/abs/2410.19466