Zobrazeno 1 - 10
of 693
pro vyhledávání: '"Wu, Yanjun"'
In the era of diminishing returns from Moores Law, heterogeneous computing systems have emerged as a vital approach to enhance computational efficiency. This paper introduces a novel MLIR-based dialect, named hyper, designed to optimize data manageme
Externí odkaz:
http://arxiv.org/abs/2407.09333
Autor:
Ling, Xiang, Wu, Zhiyu, Wang, Bin, Deng, Wei, Wu, Jingzheng, Ji, Shouling, Luo, Tianyue, Wu, Yanjun
Given the remarkable achievements of existing learning-based malware detection in both academia and industry, this paper presents MalGuise, a practical black-box adversarial attack framework that evaluates the security risks of existing learning-base
Externí odkaz:
http://arxiv.org/abs/2407.02886
The average multicast rate (AMR) is analyzed in a multicast channel utilizing analog beamforming with finite-alphabet inputs, considering statistical channel state information (CSI). New expressions for the AMR are derived for non-cooperative and coo
Externí odkaz:
http://arxiv.org/abs/2405.14029
Autor:
Chen, Yuxiao, Wu, Jingzheng, Ling, Xiang, Li, Changjiang, Rui, Zhiqing, Luo, Tianyue, Wu, Yanjun
In recent years, large language models (LLMs) have demonstrated substantial potential in addressing automatic program repair (APR) tasks. However, the current evaluation of these models for APR tasks focuses solely on the limited context of the singl
Externí odkaz:
http://arxiv.org/abs/2403.00448
Critical scenario generation requires the ability of sampling critical combinations from the infinite parameter space in the logic scenario. Existing solutions aim to explore the correlation of action parameters in the initial scenario rather than ac
Externí odkaz:
http://arxiv.org/abs/2209.10078
Domain adaptive object detection is challenging due to distinctive data distribution between source domain and target domain. In this paper, we propose a unified multi-granularity alignment based object detection framework towards domain-invariant fe
Externí odkaz:
http://arxiv.org/abs/2203.16897
Publikováno v:
In International Review of Financial Analysis November 2024 96 Part B
Publikováno v:
In Journal of Environmental Management October 2024 369
Publikováno v:
In Virology October 2024 598
Publikováno v:
In Remote Sensing of Environment 1 January 2025 316