Zobrazeno 1 - 10
of 933
pro vyhledávání: '"Wang, Zixu"'
Autor:
Qiao, Yanyuan, Lyu, Wenqi, Wang, Hui, Wang, Zixu, Li, Zerui, Zhang, Yuan, Tan, Mingkui, Wu, Qi
Vision-and-Language Navigation (VLN) tasks require an agent to follow textual instructions to navigate through 3D environments. Traditional approaches use supervised learning methods, relying heavily on domain-specific datasets to train VLN models. R
Externí odkaz:
http://arxiv.org/abs/2409.18794
Depth estimation plays a pivotal role in autonomous driving, facilitating a comprehensive understanding of the vehicle's 3D surroundings. Radar, with its robustness to adverse weather conditions and capability to measure distances, has drawn signific
Externí odkaz:
http://arxiv.org/abs/2409.02720
As the primary mRNA delivery vehicles, ionizable lipid nanoparticles (LNPs) exhibit excellent safety, high transfection efficiency, and strong immune response induction. However, the screening process for LNPs is time-consuming and costly. To expedit
Externí odkaz:
http://arxiv.org/abs/2407.05736
Autor:
Li, Changhao, Sun, Xinyu, Chen, Peihao, Fan, Jugang, Wang, Zixu, Liu, Yanxia, Zhu, Jinhui, Gan, Chuang, Tan, Mingkui
Human-robot collaboration, in which the robot intelligently assists the human with the upcoming task, is an appealing objective. To achieve this goal, the agent needs to be equipped with a fundamental collaborative navigation ability, where the agent
Externí odkaz:
http://arxiv.org/abs/2406.02425
Graph contrastive learning (GCL), standing as the dominant paradigm in the realm of graph pre-training, has yielded considerable progress. Nonetheless, its capacity for out-of-distribution (OOD) generalization has been relatively underexplored. In th
Externí odkaz:
http://arxiv.org/abs/2405.16224
Accurate trajectory prediction is crucial for ensuring safe and efficient autonomous driving. However, most existing methods overlook complex interactions between traffic participants that often govern their future trajectories. In this paper, we pro
Externí odkaz:
http://arxiv.org/abs/2405.03809
Trajectory prediction in autonomous driving relies on accurate representation of all relevant contexts of the driving scene, including traffic participants, road topology, traffic signs, as well as their semantic relations to each other. Despite incr
Externí odkaz:
http://arxiv.org/abs/2404.19379
Autor:
Volic, Ismar, Wang, Zixu
Building on previous work, this paper extends the modeling of political structures from simplicial complexes to hypergraphs. This allows the analysis of more complex political dynamics where agents who are willing to form coalitions contain subsets t
Externí odkaz:
http://arxiv.org/abs/2404.14638
Autor:
Mountney, Miles, Wang, Zixu, Katsoulis, Georgios Petros, Meister, Severin, Moshammer, Robert, Pfeifer, Thomas, Emmanouilidou, Agapi
We compute accurate potential energy curves of O$_2$ up to O$_2^{2+}$ for states that are energetically accessible in the photon energy range 20 to 42 eV. We find the dissociation limits of these states and the atomic fragments to which they dissocia
Externí odkaz:
http://arxiv.org/abs/2403.20098
Autor:
Zhou, Peng, Wang, Jianmin, Li, Chunyan, Wang, Zixu, Liu, Yiping, Liu, Chubo, Sun, Siqi, Lin, Jianxin, Wei, Leyi, Cai, Xibao, Lai, Houtim, Liu, Wei, Wang, Longyue, Zeng, Xiangxiang, Li, Kenli
While various models and computational tools have been proposed for structure and property analysis of molecules, generating molecules that conform to all desired structures and properties remains a challenge. Here, we introduce a multi-constraint mo
Externí odkaz:
http://arxiv.org/abs/2403.13244