Zobrazeno 1 - 10
of 93 290
pro vyhledávání: '"Wei Wei"'
Quantum computers are known for their potential to achieve up-to-exponential speedup compared to classical computers for certain problems. To exploit the advantages of quantum computers, we propose quantum algorithms for linear stochastic differentia
Externí odkaz:
http://arxiv.org/abs/2412.14868
Stereo video conversion aims to transform monocular videos into immersive stereo format. Despite the advancements in novel view synthesis, it still remains two major challenges: i) difficulty of achieving high-fidelity and stable results, and ii) ins
Externí odkaz:
http://arxiv.org/abs/2412.11512
Autor:
Jiang, Dengyang, Wang, Haoyu, Zhang, Lei, Wei, Wei, Dai, Guang, Wang, Mengmeng, Wang, Jingdong, Zhang, Yanning
Pre-training backbone networks on a general annotated dataset (e.g., ImageNet) that comprises numerous manually collected images with category annotations has proven to be indispensable for enhancing the generalization capacity of downstream visual t
Externí odkaz:
http://arxiv.org/abs/2412.10831
As AI models expand in size, it has become increasingly challenging to deploy federated learning (FL) on resource-constrained edge devices. To tackle this issue, split federated learning (SFL) has emerged as an FL framework with reduced workload on e
Externí odkaz:
http://arxiv.org/abs/2412.07197
Recently, generative pre-training based models have demonstrated remarkable results on Aspect-based Sentiment Analysis (ABSA) task. However, previous works overemphasize crafting various templates to paraphrase training targets for enhanced decoding,
Externí odkaz:
http://arxiv.org/abs/2412.00763
Recognition of low-quality face images remains a challenge due to invisible or deformation in partial facial regions. For low-quality images dominated by missing partial facial regions, local region similarity contributes more to face recognition (FR
Externí odkaz:
http://arxiv.org/abs/2411.16169
Publikováno v:
Phys. Rev. Research 6, 043163 (2024)
Quantum mechanics empowers the emergence of quantum advantages in various fields, including quantum algorithms. Quantum PageRank is a promising tool for a future quantum internet. Recently, arbitrary phase rotations (APR) have been introduced in the
Externí odkaz:
http://arxiv.org/abs/2411.13114
Autor:
Wei, Wei-Shao, Videbæk, Thomas E., Hayakawa, Daichi, Saha, Rupam, Rogers, W. Benjamin, Fraden, Seth
Self-assembly of nanoscale synthetic subunits is a promising bottom-up strategy for fabrication of functional materials. Here, we introduce a design principle for DNA origami nanoparticles of 50-nm size, exploiting modularity, to make a family of ver
Externí odkaz:
http://arxiv.org/abs/2411.09801
Autor:
Liu, Yumeng, Deng, Yanhao, Wang, Yizhuo, Wang, Li, Liu, Tong, Wei, Wei, Gong, Zhongmiao, Fan, Zhengfang, Su, Zhijuan, Wang, Yanming, Dan, Yaping
Defect engineering in two-dimensional (2D) materials is essential for advancing applications such as gas sensing, single-atom catalysis, and guided nanoparticle self-assembly, enabling the creation of materials with tailored functionalities. This stu
Externí odkaz:
http://arxiv.org/abs/2411.02204
Autor:
Zhou, Fei, Wang, Peng, Zhang, Lei, Chen, Zhenghua, Wei, Wei, Ding, Chen, Lin, Guosheng, Zhang, Yanning
Meta-learning offers a promising avenue for few-shot learning (FSL), enabling models to glean a generalizable feature embedding through episodic training on synthetic FSL tasks in a source domain. Yet, in practical scenarios where the target task div
Externí odkaz:
http://arxiv.org/abs/2411.01432