Zobrazeno 1 - 10
of 738
pro vyhledávání: '"Zhang, Weizhe."'
Autor:
Yang, F. Z., Luo, K. F., Zhang, Weizhe, Guo, Xiaoyu, Meier, W. R., Ni, H., Li, H. X., Lozano, P. Mercado, Fabbris, G., Said, A. H., Nelson, C., Zhang, T. T., May, A. F., McGuire, M. A., Juneja, R., Lindsay, L., Lee, H. N., Zuo, J. -M., Chi, M. F., Dai, X., Zhao, Liuyan, Miao, H.
In one-dimensional quantum materials, conducting electrons and the underlying lattices can undergo a spontaneous translational symmetry breaking, known as Peierls transition. For nearly a century, the Peierls transition has been understood within the
Externí odkaz:
http://arxiv.org/abs/2410.10539
Autor:
Zhang, Jingwen, Zheng, Zibin, Nan, Yuhong, Ye, Mingxi, Ning, Kaiwen, Zhang, Yu, Zhang, Weizhe
Despite the increasing popularity of Decentralized Applications (DApps), they are suffering from various vulnerabilities that can be exploited by adversaries for profits. Among such vulnerabilities, Read-Only Reentrancy (called ROR in this paper), is
Externí odkaz:
http://arxiv.org/abs/2409.18468
Autor:
Ning, Kaiwen, Chen, Jiachi, Zhong, Qingyuan, Zhang, Tao, Wang, Yanlin, Li, Wei, Zhang, Yu, Zhang, Weizhe, Zheng, Zibin
With the advent of large language models (LLMs), numerous software service providers (SSPs) are dedicated to developing LLMs customized for code generation tasks, such as CodeLlama and Copilot. However, these LLMs can be leveraged by attackers to cre
Externí odkaz:
http://arxiv.org/abs/2408.01354
Multi-modal recommendation greatly enhances the performance of recommender systems by modeling the auxiliary information from multi-modality contents. Most existing multi-modal recommendation models primarily exploit multimedia information propagatio
Externí odkaz:
http://arxiv.org/abs/2407.05420
Reentrancy vulnerability as one of the most notorious vulnerabilities, has been a prominent topic in smart contract security research. Research shows that existing vulnerability detection presents a range of challenges, especially as smart contracts
Externí odkaz:
http://arxiv.org/abs/2403.11254
In recent years, Decentralized Finance (DeFi) grows rapidly due to the development of blockchain technology and smart contracts. As of March 2023, the estimated global cryptocurrency market cap has reached approximately $949 billion. However, securit
Externí odkaz:
http://arxiv.org/abs/2403.01425
Publikováno v:
Wireless Communications and Mobile Computing, 2021
Mobile edge computing (MEC) pushes computing resources to the edge of the network and distributes them at the edge of the mobile network. Offloading computing tasks to the edge instead of the cloud can reduce computing latency and backhaul load simul
Externí odkaz:
http://arxiv.org/abs/2402.13529
Reentrancy is one of the most notorious vulnerabilities in smart contracts, resulting in significant digital asset losses. However, many previous works indicate that current Reentrancy detection tools suffer from high false positive rates. Even worse
Externí odkaz:
http://arxiv.org/abs/2402.09094
Giant proton transmembrane transport through sulfophenylated graphene in a direct methanol fuel cell
Autor:
Zhang, Weizhe, Makurat, Max, Liu, Xue, Kang, Xiaofang, Liu, Xiaoting, Li, Yanglizhi, Kock, Thomas J. F., Leist, Christopher, Maheu, Clement, Sezen, Hikmet, Jiang, Lin, Calvani, Dario, Jiao, Andy, Eren, Ismail, Buda, Francesco, Kuc, Agnieszka, Heine, Thomas, Qi, Haoyuan, Feng, Xinliang, Hofmann, Jan P., Kaiser, Ute, Sun, Luzhao, Liu, Zhongfan, Schneider, Gregory F.
An ideal proton exchange membrane should only permeate protons and be leak tight for fuels. Graphene is impermeable to water and poorly conducting to protons. Here, we chemically functionalized monolayer graphene to install sulfophenylated sp3 disloc
Externí odkaz:
http://arxiv.org/abs/2308.16112
Cross-silo federated learning (FL) enables multiple clients to collaboratively train a machine learning model without sharing training data, but privacy in FL remains a major challenge. Techniques using homomorphic encryption (HE) have been designed
Externí odkaz:
http://arxiv.org/abs/2305.08599