Zobrazeno 1 - 10
of 330
pro vyhledávání: '"DAI Gaole"'
Expanding the existing sensing systems to provide high-quality deep learning models for more domains, such as new users or environments, is challenged by the limited labeled data and the data and device heterogeneities. While knowledge distillation m
Externí odkaz:
http://arxiv.org/abs/2412.04060
Intelligent metamaterials have attracted widespread research interest due to their self-adaptive capabilities and controllability. They hold great potential for advancing fluid control by providing responsive and flexible solutions. However, current
Externí odkaz:
http://arxiv.org/abs/2412.02964
Manipulating particles, such as cells and tissues, in a flowing liquid environment is crucial for life science research. Traditional contactless tweezers, although widely used for single-cell manipulation, face several challenges. These include poten
Externí odkaz:
http://arxiv.org/abs/2412.00130
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
Autor:
Chen, Anthony, Xu, Jianjin, Zheng, Wenzhao, Dai, Gaole, Wang, Yida, Zhang, Renrui, Wang, Haofan, Zhang, Shanghang
Diffusion models have demonstrated excellent capabilities in text-to-image generation. Their semantic understanding (i.e., prompt following) ability has also been greatly improved with large language models (e.g., T5, Llama). However, existing models
Externí odkaz:
http://arxiv.org/abs/2411.02395
Autor:
DAI Gaole, HUANG Jiping
Publikováno v:
Nantong Daxue xuebao. Ziran kexue ban, Vol 20, Iss 2, Pp 1-18 (2021)
Both nonlinear phenomenon and heat transfer are important topics in physics. However, there has not been a mature subject called "nonlinear thermotics" like its counterpart in optics or acoustics. This review focuses on recent advances in designing t
Externí odkaz:
https://doaj.org/article/6f93a0f90f3f4330b2452cc16ec7080b
Autor:
Dai, Gaole, Tang, Yiming, Fan, Chunkai, Zhang, Qizhe, Zhang, Zhi, Gan, Yulu, Zeng, Chengqing, Zhang, Shanghang, Huang, Tiejun
Pre-trained Artificial Neural Networks (ANNs) exhibit robust pattern recognition capabilities and share extensive similarities with the human brain, specifically Biological Neural Networks (BNNs). We are particularly intrigued by these models' abilit
Externí odkaz:
http://arxiv.org/abs/2409.06706
Rapid advancements in imaging techniques and analytical methods over the past decade have revolutionized our ability to comprehensively probe the biological world at multiple scales, pinpointing the type, quantity, location, and even temporal dynamic
Externí odkaz:
http://arxiv.org/abs/2407.19778
Autor:
Dai, Gaole, Tseng, Cheng-Ching, Wuwu, Qingpo, Zhang, Rongyu, Wang, Shaokang, Lu, Ming, Huang, Tiejun, Zhou, Yu, Tuz, Ali Ata, Gunzer, Matthias, Chen, Jianxu, Zhang, Shanghang
The rapid pace of innovation in biological microscopy imaging has led to large images, putting pressure on data storage and impeding efficient sharing, management, and visualization. This necessitates the development of efficient compression solution
Externí odkaz:
http://arxiv.org/abs/2405.19012
Autor:
Zhang, Rongyu, Cheng, Aosong, Luo, Yulin, Dai, Gaole, Yang, Huanrui, Liu, Jiaming, Xu, Ran, Du, Li, Du, Yuan, Jiang, Yanbing, Zhang, Shanghang
Continual Test-Time Adaptation (CTTA), which aims to adapt the pre-trained model to ever-evolving target domains, emerges as an important task for vision models. As current vision models appear to be heavily biased towards texture, continuously adapt
Externí odkaz:
http://arxiv.org/abs/2405.16486