Zobrazeno 1 - 10
of 33 908
pro vyhledávání: '"Li,Yue"'
Autor:
Zhang, Delin, Wei, Heshuang, Duan, Jinyu, Chen, Jiali, Yue, Dongdong, Yang, Yuhe, Gou, Jinlong, Yan, Junxin, Zhai, Kun, Wang, Ping, Hu, Shuai, Jia, Zhiyan, Jiang, Wei, Wang, Wenhong, Li, Yue, Jiang, Yong
Efficiently manipulating the magnetization of van der Waals ferromagnets has attracted considerable interest in developing room-temperature two-dimensional material-based memory and logic devices. Here, taking advantage of the unique properties of th
Externí odkaz:
http://arxiv.org/abs/2412.04872
With the rapid development of natural language processing technology, large-scale language models (LLM) have achieved remarkable results in a variety of tasks. However, how to effectively train these huge models and improve their performance and comp
Externí odkaz:
http://arxiv.org/abs/2412.04718
Cultural heritage, a testament to human history and civilization, has gained increasing recognition for its significance in preservation and dissemination. The integration of immersive technologies has transformed how cultural heritage is presented,
Externí odkaz:
http://arxiv.org/abs/2412.02853
The field of novel view synthesis from images has seen rapid advancements with the introduction of Neural Radiance Fields (NeRF) and more recently with 3D Gaussian Splatting. Gaussian Splatting became widely adopted due to its efficiency and ability
Externí odkaz:
http://arxiv.org/abs/2411.02229
Enhancing the modular structure of existing systems has attracted substantial research interest, focusing on two main methods: (1) software modularization and (2) identifying design issues (e.g., smells) as refactoring opportunities. However, re-modu
Externí odkaz:
http://arxiv.org/abs/2411.01012
The rapid proliferation of deep neural networks (DNNs) is driving a surge in model watermarking technologies, as the trained deep models themselves serve as intellectual properties. The core of existing model watermarking techniques involves modifyin
Externí odkaz:
http://arxiv.org/abs/2410.20202
In-context learning (ICL) performance is known to be sensitive to the prompt design, yet the impact of class label options in zero-shot classification has been largely overlooked. This study presents the first comprehensive empirical study investigat
Externí odkaz:
http://arxiv.org/abs/2410.19195
The rapid expansion of software systems and the growing number of reported vulnerabilities have emphasized the importance of accurately identifying vulnerable code segments. Traditional methods for vulnerability localization, such as manual code audi
Externí odkaz:
http://arxiv.org/abs/2410.15288
Autor:
Chen, Bolin, Ye, Yan, Chen, Jie, Liao, Ru-Ling, Yin, Shanzhi, Wang, Shiqi, Yang, Kaifa, Li, Yue, Xu, Yiling, Wang, Ye-Kui, Gehlot, Shiv, Su, Guan-Ming, Yin, Peng, McCarthy, Sean, Sullivan, Gary J.
This paper proposes a Generative Face Video Compression (GFVC) approach using Supplemental Enhancement Information (SEI), where a series of compact spatial and temporal representations of a face video signal (i.e., 2D/3D key-points, facial semantics
Externí odkaz:
http://arxiv.org/abs/2410.15105