Zobrazeno 1 - 10
of 6 593
pro vyhledávání: '"Dong Hai"'
Autor:
Zhao, Pan1 (AUTHOR)
Publikováno v:
Journalism & Mass Communication Quarterly. Sep2024, Vol. 101 Issue 3, p816-819. 4p.
The violation of a Bell inequality implies the existence of nonlocality, making device-independent randomness certification possible. This paper derives a tight upper bound for the maximal quantum violation of Gisin's elegant Bell inequality (EBI) fo
Externí odkaz:
http://arxiv.org/abs/2412.06345
We propose a novel approach to effectively detect cloned identities of social-sensor cloud service providers (i.e. social media users) in the face of incomplete non-privacy-sensitive profile data. Named ICD-IPD, the proposed approach first extracts a
Externí odkaz:
http://arxiv.org/abs/2411.01329
Autor:
Tao, Ze-Hua, Lavor, Icaro R., Dong, Hai-Ming, Chaves, Andrey, Neilson, David, Milosevic, Milorad V.
We demonstrate chiral propagation of plasmon polaritons and show it is more efficient and easier to control than the recently observed chiral shear phonon polaritons. We consider plasmon polaritons created in an anisotropic two-dimensional (2D) mater
Externí odkaz:
http://arxiv.org/abs/2409.11066
Autor:
Dong, Hai-Hao, Zhu, Yuwei, Cheng, Su-Yi, Zhang, Xingjian, Li, Cheng-Long, Li, Ying-Zhao, Li, Hao, You, Lixing, Ma, Xiongfeng, Zhang, Qiang, Pan, Jian-Wei
Nonlocality, evidenced by the violation of Bell inequalities, not only signifies entanglement but also highlights measurement incompatibility in quantum systems. Utilizing the generalized Clauser-Horne-Shimony-Holt (CHSH) Bell inequality, our high-ef
Externí odkaz:
http://arxiv.org/abs/2408.10489
Fine-tuning large language models (LLMs) with high parameter efficiency for downstream tasks has become a new paradigm. Low-Rank Adaptation (LoRA) significantly reduces the number of trainable parameters for fine-tuning. Although it has demonstrated
Externí odkaz:
http://arxiv.org/abs/2408.06854
In recent years, the widespread adoption of distributed microservice architectures within the industry has significantly increased the demand for enhanced system availability and robustness. Due to the complex service invocation paths and dependencie
Externí odkaz:
http://arxiv.org/abs/2406.19711
We introduce FEDQ-Trust, an innovative data-driven trust prediction approach designed for mobile edge-based Internet of Things (IoT) environments. The decentralized nature of mobile edge environments introduces challenges due to variations in data di
Externí odkaz:
http://arxiv.org/abs/2404.18356
Personalized Federated Learning (PFL) is widely employed in IoT applications to handle high-volume, non-iid client data while ensuring data privacy. However, heterogeneous edge devices owned by clients may impose varying degrees of resource constrain
Externí odkaz:
http://arxiv.org/abs/2403.11464
The dependence of Natural Language Processing (NLP) intelligent software on Large Language Models (LLMs) is increasingly prominent, underscoring the necessity for robustness testing. Current testing methods focus solely on the robustness of LLM-based
Externí odkaz:
http://arxiv.org/abs/2402.13518