Zobrazeno 1 - 10
of 657
pro vyhledávání: '"ZHAO, Yuhan"'
Mean field control provides a robust framework for coordinating large-scale populations with complex interactions and has wide applications across diverse fields. However, the inherent nonlinearity and the presence of unknown system dynamics pose sig
Externí odkaz:
http://arxiv.org/abs/2411.06180
Community detection plays a pivotal role in uncovering closely connected subgraphs, aiding various real-world applications such as recommendation systems and anomaly detection. With the surge of rich information available for entities in real-world n
Externí odkaz:
http://arxiv.org/abs/2411.01947
Gait recognition, which aims at identifying individuals by their walking patterns, has achieved great success based on silhouette. The binary silhouette sequence encodes the walking pattern within the sparse boundary representation. Therefore, most p
Externí odkaz:
http://arxiv.org/abs/2407.03632
As assembly tasks grow in complexity, collaboration among multiple robots becomes essential for task completion. However, centralized task planning has become inadequate for adapting to the increasing intelligence and versatility of robots, along wit
Externí odkaz:
http://arxiv.org/abs/2404.12570
Autor:
Zhao, Yuhan, Zhu, Quanyan
Shared control allows the human driver to collaborate with an assistive driving system while retaining the ability to make decisions and take control if necessary. However, human-vehicle teaming and planning are challenging due to environmental uncer
Externí odkaz:
http://arxiv.org/abs/2403.10736
Autor:
Zhao, Yuhan, Zhu, Quanyan
Robot allocation plays an essential role in facilitating robotic service provision across various domains. Yet the increasing number of users and the uncertainties regarding the users' true service requirements have posed challenges for the service p
Externí odkaz:
http://arxiv.org/abs/2403.10733
The wide adoption of Internet of Things (IoT)-enabled energy devices improves the quality of life, but simultaneously, it enlarges the attack surface of the power grid system. The adversary can gain illegitimate control of a large number of these dev
Externí odkaz:
http://arxiv.org/abs/2401.01963
Recently, multimodal recommendations (MMR) have gained increasing attention for alleviating the data sparsity problem of traditional recommender systems by incorporating modality-based representations. Although MMR exhibit notable improvement in reco
Externí odkaz:
http://arxiv.org/abs/2310.17373
Autor:
Zhao, Yuhan, Zhu, Quanyan
Guided trajectory planning involves a leader robot strategically directing a follower robot to collaboratively reach a designated destination. However, this task becomes notably challenging when the leader lacks complete knowledge of the follower's d
Externí odkaz:
http://arxiv.org/abs/2309.16098
Negative sampling is essential for implicit-feedback-based collaborative filtering, which is used to constitute negative signals from massive unlabeled data to guide supervised learning. The state-of-the-art idea is to utilize hard negative samples t
Externí odkaz:
http://arxiv.org/abs/2308.05972