Zobrazeno 1 - 10
of 6 820
pro vyhledávání: '"An, Chunpeng"'
Homomorphic vector permutation is fundamental to privacy-preserving computations based on batch-encoded homomorphic encryption, underpinning nearly all homomorphic matrix operation algorithms and predominantly influencing their complexity. A potentia
Externí odkaz:
http://arxiv.org/abs/2410.21840
The recently introduced Segment Anything Model (SAM), a Visual Foundation Model (VFM), has demonstrated impressive capabilities in zero-shot segmentation tasks across diverse natural image datasets. Despite its success, SAM encounters noticeably perf
Externí odkaz:
http://arxiv.org/abs/2408.12364
The advent of Large Language Models (LLMs) has significantly transformed the fields of natural and social sciences. Generative Agent-Based Models (GABMs), which utilize large language models in place of real subjects, are gaining increasing public at
Externí odkaz:
http://arxiv.org/abs/2408.09175
The decentralized Federated Learning (FL) paradigm built upon blockchain architectures leverages distributed node clusters to replace the single server for executing FL model aggregation. This paradigm tackles the vulnerability of the centralized mal
Externí odkaz:
http://arxiv.org/abs/2408.06885
Autor:
Ma, Xirong, Li, Chuan, Hu, Yuchang, Tao, Yunting, Jiang, Yali, Li, Yanbin, Kong, Fanyu, Ge, Chunpeng
The demand for processing vast volumes of data has surged dramatically due to the advancement of machine learning technology. Large-scale data processing necessitates substantial computational resources, prompting individuals and enterprises to turn
Externí odkaz:
http://arxiv.org/abs/2406.19964
Few-shot Learning aims to learn and distinguish new categories with a very limited number of available images, presenting a significant challenge in the realm of deep learning. Recent researchers have sought to leverage the additional textual or ling
Externí odkaz:
http://arxiv.org/abs/2401.05010
Autor:
Guan, Cong, Zhang, Lichao, Fan, Chunpeng, Li, Yichen, Chen, Feng, Li, Lihe, Tian, Yunjia, Yuan, Lei, Yu, Yang
Developing intelligent agents capable of seamless coordination with humans is a critical step towards achieving artificial general intelligence. Existing methods for human-AI coordination typically train an agent to coordinate with a diverse set of p
Externí odkaz:
http://arxiv.org/abs/2311.00416
Autor:
Fan Xu, Zeng Zhou, Sergio Fagherazzi, Andrea D’Alpaos, Ian Townend, Kun Zhao, Weiming Xie, Leicheng Guo, Xianye Wang, Zhong Peng, Zhicheng Yang, Chunpeng Chen, Guangcheng Cheng, Yuan Xu, Qing He
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-11 (2024)
Abstract Branching networks are key elements in natural landscapes and have attracted sustained research interest across the geosciences and numerous intersecting fields. The prevailing consensus has long held that branching networks are optimized an
Externí odkaz:
https://doaj.org/article/454db4c7e9bb4df296d3c3bfd01e76d1
Autor:
Chunpeng Jiang, Wenqiang Xu, Yutong Li, Zhenjun Yu, Longchun Wang, Xiaotong Hu, Zhengyi Xie, Qingkun Liu, Bin Yang, Xiaolin Wang, Wenxin Du, Tutian Tang, Dongzhe Zheng, Siqiong Yao, Cewu Lu, Jingquan Liu
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-14 (2024)
Abstract Capturing forceful interaction with deformable objects during manipulation benefits applications like virtual reality, telemedicine, and robotics. Replicating full hand-object states with complete geometry is challenging because of the occlu
Externí odkaz:
https://doaj.org/article/ca01462e48e14d5fb49086af94abe34d
Publikováno v:
Journal of Orthopaedic Translation, Vol 49, Iss , Pp 283-288 (2024)
Displaced fragility fractures of the pelvis (FFP) pose significant challenges in orthopaedic trauma, owing to patient comorbidities, deteriorating bone quality, and surgical complexities. Despite technological advancements, no robotic methods have be
Externí odkaz:
https://doaj.org/article/57c77e8ee46d4884898a20286015050a