Zobrazeno 1 - 10
of 656
pro vyhledávání: '"Li, Sirui"'
The pursuit-evasion problem is widespread in nature, engineering and societal applications. It is commonly observed in nature that a predator runs faster than its prey but it has less agile maneuverability. Over millions of years of evolution, animal
Externí odkaz:
http://arxiv.org/abs/2410.16829
Mixed Integer Linear Programming (MILP) is essential for modeling complex decision-making problems but faces challenges in computational tractability and requires expert formulation. Current deep learning approaches for MILP focus on specific problem
Externí odkaz:
http://arxiv.org/abs/2410.08288
In medical contexts, the imbalanced data distribution in long-tailed datasets, due to scarce labels for rare diseases, greatly impairs the diagnostic accuracy of deep learning models. Recent multimodal text-image supervised foundation models offer ne
Externí odkaz:
http://arxiv.org/abs/2408.14770
Deep reinforcement learning is a powerful approach to complex decision making. However, one issue that limits its practical application is its brittleness, sometimes failing to train in the presence of small changes in the environment. This work is m
Externí odkaz:
http://arxiv.org/abs/2408.04498
Multimodal conversational agents are highly desirable because they offer natural and human-like interaction. However, there is a lack of comprehensive end-to-end solutions to support collaborative development and benchmarking. While proprietary syste
Externí odkaz:
http://arxiv.org/abs/2408.03047
Medical image datasets often exhibit long-tailed distributions due to the inherent challenges in medical data collection and annotation. In long-tailed contexts, some common disease categories account for most of the data, while only a few samples ar
Externí odkaz:
http://arxiv.org/abs/2406.10801
Autor:
Li, Zhuofeng, Gou, Zixing, Zhang, Xiangnan, Liu, Zhongyuan, Li, Sirui, Hu, Yuntong, Ling, Chen, Zhang, Zheng, Zhao, Liang
Text-Attributed Graphs (TAGs) augment graph structures with natural language descriptions, facilitating detailed depictions of data and their interconnections across various real-world settings. However, existing TAG datasets predominantly feature te
Externí odkaz:
http://arxiv.org/abs/2406.10310
Autor:
Sun, Qiang, Luo, Yuanyi, Zhang, Wenxiao, Li, Sirui, Li, Jichunyang, Niu, Kai, Kong, Xiangrui, Liu, Wei
Even for a conservative estimate, 80% of enterprise data reside in unstructured files, stored in data lakes that accommodate heterogeneous formats. Classical search engines can no longer meet information seeking needs, especially when the task is to
Externí odkaz:
http://arxiv.org/abs/2406.02962
Source localization aims to locate information diffusion sources only given the diffusion observation, which has attracted extensive attention in the past few years. Existing methods are mostly tailored for single networks and may not be generalized
Externí odkaz:
http://arxiv.org/abs/2404.14668
Conventional control, such as model-based control, is commonly utilized in autonomous driving due to its efficiency and reliability. However, real-world autonomous driving contends with a multitude of diverse traffic scenarios that are challenging fo
Externí odkaz:
http://arxiv.org/abs/2403.04232