Zobrazeno 1 - 10
of 717
pro vyhledávání: '"Li, Zhengyu"'
AI-generated text detection plays an increasingly important role in various fields. In this study, we developed an efficient AI-generated text detection model based on the BERT algorithm, which provides new ideas and methods for solving related probl
Externí odkaz:
http://arxiv.org/abs/2405.16422
This paper introduces AlphaMapleSAT, a novel Monte Carlo Tree Search (MCTS) based Cube-and-Conquer (CnC) SAT solving method aimed at efficiently solving challenging combinatorial problems. Despite the tremendous success of CnC solvers in solving a va
Externí odkaz:
http://arxiv.org/abs/2401.13770
Autor:
Liu, Sheng, Fan, Lu, Li, Zhengyu, Zhou, Qiang, Li, Yunbo, Wang, Dong, Zhang, Dechao, Zhang, Yichen, Li, Han
Research on optimal eavesdropping models under practical conditions will help to evaluate realistic risk when employing quantum key distribution (QKD) system for secure information transmission. Intuitively, fiber loss will lead to the optical energy
Externí odkaz:
http://arxiv.org/abs/2312.16206
Autor:
Meng, Fanyu, Fu, Yang, Pan, Senyang, Tian, Shangjie, Yan, Shaohua, Li, Zhengyu, Wang, Shouguo, Zhang, Jinglei, Lei, Hechang
Transition metal disulfides 4$H_{b}$-Ta(S, Se)$_{2}$ with natural heterostructure of 1${T}$- and 1${H}$-Ta(S, Se)$_{2}$ layers have became the focus of correlated materials their unique combinations of Mott physics and possible topological supercondu
Externí odkaz:
http://arxiv.org/abs/2312.03448
Quantum key distribution provides secure keys with information-theoretic security ensured by the principle of quantum mechanics. The continuous-variable version of quantum key distribution using coherent states offers the advantages of its compatibil
Externí odkaz:
http://arxiv.org/abs/2310.04831
Autor:
Zhao, Siwen, Huang, Jinqiang, Crépel, Valentin, Wu, Xingguang, Zhang, Tongyao, Wang, Hanwen, Han, Xiangyan, Li, Zhengyu, Xi, Chuanying, Pan, Senyang, Wang, Zhaosheng, Watanabe, Kenji, Taniguchi, Takashi, Sacépé, Benjamin, Zhang, Jing, Wang, Ning, Lu, Jianming, Regnault, Nicolas, Han, Zheng Vitto
Semiconducting transition-metal dichalcogenides (TMDs) exhibit high mobility, strong spin-orbit coupling, and large effective masses, which simultaneously leads to a rich wealth of Landau quantizations and inherently strong electronic interactions. H
Externí odkaz:
http://arxiv.org/abs/2308.02821
AI-driven drug design relies significantly on predicting molecular properties, which is a complex task. In current approaches, the most commonly used feature representations for training deep neural network models are based on SMILES and molecular gr
Externí odkaz:
http://arxiv.org/abs/2307.13275
One of the fundamental results in quantum foundations is the Kochen-Specker (KS) theorem, which states that any theory whose predictions agree with quantum mechanics must be contextual, i.e., a quantum observation cannot be understood as revealing a
Externí odkaz:
http://arxiv.org/abs/2306.13319
Autor:
Wei, Xian, Wang, Muyu, Lin, Shing-Ho Jonathan, Li, Zhengyu, Yang, Jian, Al-Jawari, Arafat, Tang, Xuan
Self-attention modules have demonstrated remarkable capabilities in capturing long-range relationships and improving the performance of point cloud tasks. However, point cloud objects are typically characterized by complex, disordered, and non-Euclid
Externí odkaz:
http://arxiv.org/abs/2304.05694
Autor:
Yang, Xiuyu, Zhang, Zhuangyan, Du, Haikuo, Yang, Sui, Sun, Fengping, Liu, Yanbo, Pei, Ling, Xu, Wenchao, Sun, Weiqi, Li, Zhengyu
Autonomous driving has now made great strides thanks to artificial intelligence, and numerous advanced methods have been proposed for vehicle end target detection, including single sensor or multi sensor detection methods. However, the complexity and
Externí odkaz:
http://arxiv.org/abs/2303.05203