Zobrazeno 1 - 10
of 2 884
pro vyhledávání: '"Chen, YiXin"'
Autor:
Chen, Yixin, Gao, Lin, Gao, Yajuan, Wang, Rui, Lian, Jingge, Meng, Xiangxi, Duan, Yanhua, Chai, Leiying, Han, Hongbin, Cheng, Zhaoping, Xie, Zhaoheng
The integration of deep learning in medical imaging has shown great promise for enhancing diagnostic, therapeutic, and research outcomes. However, applying universal models across multiple modalities remains challenging due to the inherent variabilit
Externí odkaz:
http://arxiv.org/abs/2412.19026
The integration of multi-omic data is pivotal for understanding complex diseases, but its high dimensionality and noise present significant challenges. Graph Neural Networks (GNNs) offer a robust framework for analyzing large-scale signaling pathways
Externí odkaz:
http://arxiv.org/abs/2412.15790
Autor:
Lu, Ruijie, Chen, Yixin, Ni, Junfeng, Jia, Baoxiong, Liu, Yu, Wan, Diwen, Zeng, Gang, Huang, Siyuan
Repurposing pre-trained diffusion models has been proven to be effective for NVS. However, these methods are mostly limited to a single object; directly applying such methods to compositional multi-object scenarios yields inferior results, especially
Externí odkaz:
http://arxiv.org/abs/2412.11457
Predicting future bus trip chains for an existing user is of great significance for operators of public transit systems. Existing methods always treat this task as a time-series prediction problem, but the 1-dimensional time series structure cannot e
Externí odkaz:
http://arxiv.org/abs/2412.11364
In the attention economy, online platforms are incentivized to maximize user engagement through extended-use designs (EUDs), even when such practices conflict with users' best interests. We conducted a structured content analysis of all Very Large On
Externí odkaz:
http://arxiv.org/abs/2411.12083
Autor:
Fu, Yue, Bin, Han, Zhou, Tony, Wang, Marx, Chen, Yixin, Lai, Zelia Gomes Da Costa, Wobbrock, Jacob O., Hiniker, Alexis
As generative AI (GenAI) increasingly permeates design workflows, its impact on design outcomes and designers' creative capabilities warrants investigation. We conducted a within-subjects experiment where we asked participants to design advertisement
Externí odkaz:
http://arxiv.org/abs/2411.00168
Synthesizing human motions in 3D environments, particularly those with complex activities such as locomotion, hand-reaching, and human-object interaction, presents substantial demands for user-defined waypoints and stage transitions. These requiremen
Externí odkaz:
http://arxiv.org/abs/2410.03187
Autor:
Chen, Yixin, Zhang, Guoxi, Zhang, Yaowei, Xu, Hongming, Zhi, Peiyuan, Li, Qing, Huang, Siyuan
Recently, large language models (LLMs) have shown strong potential in facilitating human-robotic interaction and collaboration. However, existing LLM-based systems often overlook the misalignment between human and robot perceptions, which hinders the
Externí odkaz:
http://arxiv.org/abs/2409.15684
Autor:
Hu, Shengxiang, Zou, Guobing, Zhang, Bofeng, Wu, Shaogang, Lin, Shiyi, Gan, Yanglan, Chen, Yixin
Accurate prediction of temporal QoS is crucial for maintaining service reliability and enhancing user satisfaction in dynamic service-oriented environments. However, current methods often neglect high-order latent collaborative relationships and fail
Externí odkaz:
http://arxiv.org/abs/2408.10555
The ability to distill object-centric abstractions from intricate visual scenes underpins human-level generalization. Despite the significant progress in object-centric learning methods, learning object-centric representations in the 3D physical worl
Externí odkaz:
http://arxiv.org/abs/2408.06697