Zobrazeno 1 - 10
of 10 801
pro vyhledávání: '"Zhang, Lan"'
Entanglement plays an indispensable role in numerous quantum information and quantum computation tasks, underscoring the need for efficiently verifying entangled states. In recent years, quantum state verification has received increasing attention, y
Externí odkaz:
http://arxiv.org/abs/2406.01470
In medical image segmentation tasks, diffusion models have shown significant potential. However, mainstream diffusion models suffer from drawbacks such as multiple sampling times and slow prediction results. Recently, consistency models, as a standal
Externí odkaz:
http://arxiv.org/abs/2405.09056
3D object detection plays an important role in autonomous driving; however, its vulnerability to backdoor attacks has become evident. By injecting ''triggers'' to poison the training dataset, backdoor attacks manipulate the detector's prediction for
Externí odkaz:
http://arxiv.org/abs/2405.03884
Task-oriented semantic communications (TSC) enhance radio resource efficiency by transmitting task-relevant semantic information. However, current research often overlooks the inherent semantic distinctions among encoded features. Due to unavoidable
Externí odkaz:
http://arxiv.org/abs/2405.00135
Autor:
Zhu, Hai, Guo, Rui, Shen, Juntai, Liu, Jianglai, Liu, Chao, Xue, Xiang-Xiang, Zhang, Lan, Mao, Shude
Numerical simulations indicate that correlations exist between the velocity distributions of stars and dark matter (DM). We study the local DM velocity distribution based on these correlations. We select K giants from LAMOST DR8 cross-matched with Ga
Externí odkaz:
http://arxiv.org/abs/2404.19655
Recovering intermediate missing GPS points in a sparse trajectory, while adhering to the constraints of the road network, could offer deep insights into users' moving behaviors in intelligent transportation systems. Although recent studies have demon
Externí odkaz:
http://arxiv.org/abs/2404.19141
Recently, semantic communication (SemCom) has shown great potential in significant resource savings and efficient information exchanges, thus naturally introducing a novel and practical cellular network paradigm where two modes of SemCom and conventi
Externí odkaz:
http://arxiv.org/abs/2404.04162
Autor:
Wu, Xianchao, Zhang, Lan
The problem of obtaining the lower bounds on the restriction of Laplacian eigenfunctions to hypersurfaces inside a compact Riemannian manifold $(M,g)$ is challenging and has been attempted by many authors \cite{BR, GRS, Jun, ET}. This paper aims to s
Externí odkaz:
http://arxiv.org/abs/2403.19188
To support various applications, a prevalent and efficient approach for business owners is leveraging their valuable datasets to fine-tune a pre-trained LLM through the API provided by LLM owners or cloud servers. However, this process carries a subs
Externí odkaz:
http://arxiv.org/abs/2402.14883
Security of model parameters and user data is critical for Transformer-based services, such as ChatGPT. While recent strides in secure two-party protocols have successfully addressed security concerns in serving Transformer models, their adoption is
Externí odkaz:
http://arxiv.org/abs/2312.00025