Zobrazeno 1 - 10
of 540
pro vyhledávání: '"Li Jiliang"'
Autor:
Chen, Jiahao, Shen, Zhiqiang, Pu, Yuwen, Zhou, Chunyi, Li, Changjiang, Li, Jiliang, Wang, Ting, Ji, Shouling
Face Recognition Systems (FRS) have increasingly integrated into critical applications, including surveillance and user authentication, highlighting their pivotal role in modern security systems. Recent studies have revealed vulnerabilities in FRS to
Externí odkaz:
http://arxiv.org/abs/2405.12786
Recent language models have demonstrated proficiency in summarizing source code. However, as in many other domains of machine learning, language models of code lack sufficient explainability. Informally, we lack a formulaic or intuitive understanding
Externí odkaz:
http://arxiv.org/abs/2402.14182
Autor:
Zhang, Yifan, Li, Jiliang, Karas, Zachary, Bansal, Aakash, Li, Toby Jia-Jun, McMillan, Collin, Leach, Kevin, Huang, Yu
Neural code summarization leverages deep learning models to automatically generate brief natural language summaries of code snippets. The development of Transformer models has led to extensive use of attention during model design. While existing work
Externí odkaz:
http://arxiv.org/abs/2402.14096
The rise of advanced persistent threats (APTs) has marked a significant cybersecurity challenge, characterized by sophisticated orchestration, stealthy execution, extended persistence, and targeting valuable assets across diverse sectors. Provenance
Externí odkaz:
http://arxiv.org/abs/2309.09498
Advanced persistent threat (APT) is a kind of stealthy, sophisticated, and long-term cyberattack that has brought severe financial losses and critical infrastructure damages. Existing works mainly focus on APT defense under stable network topologies,
Externí odkaz:
http://arxiv.org/abs/2309.00251
Due to the limited battery and computing resource, offloading unmanned aerial vehicles (UAVs)' computation tasks to ground infrastructure, e.g., vehicles, is a fundamental framework. Under such an open and untrusted environment, vehicles are reluctan
Externí odkaz:
http://arxiv.org/abs/2305.08691
There has been an increasing interest in modeling continuous-time dynamics of temporal graph data. Previous methods encode time-evolving relational information into a low-dimensional representation by specifying discrete layers of neural networks, wh
Externí odkaz:
http://arxiv.org/abs/2205.15924
Publikováno v:
In Pain Management Nursing August 2024 25(4):377-388
Autor:
Lou, Jiaqi, Cui, Shengyong, Huang, Neng, Jin, Guoying, Chen, Cui, Fan, Youfen, Zhang, Chun, Li, Jiliang
Publikováno v:
In Clinical Nutrition ESPEN February 2024 59:48-62
Publikováno v:
In Information Sciences January 2024 652