Zobrazeno 1 - 10
of 45 508
pro vyhledávání: '"Zhang,Zhi"'
Autor:
Songsheng, Yu-Yang, Wang, Jian-Min, Cao, Yuan, Chen, XueFei, Xiong, JianPing, Zhang, Zhi-Xiang, Cai, Rong-Gen
The growing ``Hubble tension'' has prompted the need for precise measurements of cosmological distances. This paper demonstrates a purely geometric approach for determining the distance to extragalactic binaries through a joint analysis of spectroast
Externí odkaz:
http://arxiv.org/abs/2412.08889
Multiple Description Coding (MDC) is a promising error-resilient source coding method that is particularly suitable for dynamic networks with multiple (yet noisy and unreliable) paths. However, conventional MDC video codecs suffer from cumbersome arc
Externí odkaz:
http://arxiv.org/abs/2412.07922
Accurate understanding of muscle activation and muscle forces plays an essential role in neuro-rehabilitation and musculoskeletal disorder treatments. Computational musculoskeletal modeling has been widely used as a powerful non-invasive tool to esti
Externí odkaz:
http://arxiv.org/abs/2412.05403
Publikováno v:
IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol. 32, pp. 1246-1256, 2024
Computational biomechanical analysis plays a pivotal role in understanding and improving human movements and physical functions. Although physics-based modeling methods can interpret the dynamic interaction between the neural drive to muscle dynamics
Externí odkaz:
http://arxiv.org/abs/2412.04213
Autor:
Lu, Kai-Xing, Li, Yan-Rong, Wu, Qingwen, Ho, Luis C., Zhang, Zhi-Xiang, Feng, Hai-Cheng, Li, Sha-Sha, Chen, Yong-Jie, Sun, Mouyuan, Shu, Xinwen, Guo, Wei-Jian, Cheng, Cheng, Wang, Jian-Guo, Kim, Dongchan, Wang, Jian-Min, Bai, Jin-Ming
Changing-look active galactic nuclei (CL-AGNs), characterized by emerging or disappearing of broad lines accompanied with extreme continuum flux variability, have drawn much attention for their potential of revealing physical processes underlying AGN
Externí odkaz:
http://arxiv.org/abs/2411.18917
The recent advancements in auto-regressive multimodal large language models (MLLMs) have demonstrated promising progress for vision-language tasks. While there exists a variety of studies investigating the processing of linguistic information within
Externí odkaz:
http://arxiv.org/abs/2411.18620
Autor:
Zhang, Zhi, Shen, Jiayi, Cao, Congfeng, Dai, Gaole, Zhou, Shiji, Zhang, Qizhe, Zhang, Shanghang, Shutova, Ekaterina
Advancing towards generalist agents necessitates the concurrent processing of multiple tasks using a unified model, thereby underscoring the growing significance of simultaneous model training on multiple downstream tasks. A common issue in multi-tas
Externí odkaz:
http://arxiv.org/abs/2411.18615
Pre-training Transformer models is resource-intensive, and recent studies have shown that sign momentum is an efficient technique for training large-scale deep learning models, particularly Transformers. However, its application in distributed traini
Externí odkaz:
http://arxiv.org/abs/2411.17866
Autor:
Jiang, Eric Hanchen, Zhang, Yasi, Zhang, Zhi, Wan, Yixin, Lizarraga, Andrew, Li, Shufan, Wu, Ying Nian
Text-to-image (T2I) diffusion models have revolutionized generative modeling by producing high-fidelity, diverse, and visually realistic images from textual prompts. Despite these advances, existing models struggle with complex prompts involving mult
Externí odkaz:
http://arxiv.org/abs/2411.17472
Trusted Execution Environments (TEEs) are critical components of modern secure computing, providing isolated zones in processors to safeguard sensitive data and execute secure operations. Despite their importance, TEEs are increasingly vulnerable to
Externí odkaz:
http://arxiv.org/abs/2411.14878