Zobrazeno 1 - 10
of 7 449
pro vyhledávání: '"ZHOU, Quan"'
Non-contact manipulation is an emerging and highly promising methodology in robotics, offering a wide range of scientific and industrial applications. Among the proposed approaches, airflow stands out for its ability to project across considerable di
Externí odkaz:
http://arxiv.org/abs/2412.03254
Autor:
Zhou, Quan
Ensuring fairness has emerged as one of the primary concerns in AI and its related algorithms. Over time, the field of machine learning fairness has evolved to address these issues. This paper provides an extensive overview of this field and introduc
Externí odkaz:
http://arxiv.org/abs/2411.09056
In streaming media services, video transcoding is a common practice to alleviate bandwidth demands. Unfortunately, traditional methods employing a uniform rate factor (RF) across all videos often result in significant inefficiencies. Content-adaptive
Externí odkaz:
http://arxiv.org/abs/2411.05295
Autor:
Zhou, Quan, Pei, Changhua, Sun, Fei, Han, Jing, Gao, Zhengwei, Pei, Dan, Zhang, Haiming, Xie, Gaogang, Li, Jianhui
Time series anomaly detection (TSAD) has become an essential component of large-scale cloud services and web systems because it can promptly identify anomalies, providing early warnings to prevent greater losses. Deep learning-based forecasting metho
Externí odkaz:
http://arxiv.org/abs/2411.00278
Soft robotic manipulators are generally slow despite their great adaptability, resilience, and compliance. This limitation also extends to current soft robotic micromanipulators. Here, we introduce FilMBot, a 3-DOF film-based, electromagnetically act
Externí odkaz:
http://arxiv.org/abs/2410.23059
Autor:
Dong, Lin, Liu, Xiaozhen
Publikováno v:
Technical Communication, 2021 Aug 01. 68(3), 122-123.
Externí odkaz:
https://www.jstor.org/stable/27340295
The bottleneck associated with the key-value(KV) cache presents a significant challenge during the inference processes of large language models. While depth pruning accelerates inference, it requires extensive recovery training, which can take up to
Externí odkaz:
http://arxiv.org/abs/2409.11057
Determinant quantum Monte Carlo (DQMC), formulated in complex-fermion representation, has played a key role in studying strongly-correlated fermion systems. However, its applicability is limited due to the requirement of particle-number conservation
Externí odkaz:
http://arxiv.org/abs/2408.10311
Autor:
Sudarshan, Malavikha, Shih, Sophie, Yee, Estella, Yang, Alina, Zou, John, Chen, Cathy, Zhou, Quan, Chen, Leon, Singhal, Chinmay, Shih, George
The application of Large Language Models (LLMs) in healthcare is expanding rapidly, with one potential use case being the translation of formal medical reports into patient-legible equivalents. Currently, LLM outputs often need to be edited and evalu
Externí odkaz:
http://arxiv.org/abs/2408.01112
Binary verification plays a pivotal role in software security, yet building a verification service that is both open and trustworthy poses a formidable challenge. In this paper, we introduce a novel binary verification service, AGORA, scrupulously de
Externí odkaz:
http://arxiv.org/abs/2407.15062