Zobrazeno 1 - 10
of 1 513
pro vyhledávání: '"Zheng Nanning"'
Publikováno v:
中国工程科学, Vol 26, Iss 1, Pp 202-215 (2024)
进入大数据时代后，互联网应用和信息服务全面普及，大量的个人敏感生物信息被收集整理，导致隐私泄露风险增加；事件相机作为新型的生物启发式传感器，具有低延迟、高动态、无纹理
Externí odkaz:
https://doaj.org/article/108ecf31c3bc4488b28ea36ea7a3a983
Publikováno v:
中国工程科学, Vol 26, Iss 1, Pp 101-116 (2024)
Collaborative intelligence formed via information and behavioral interactions of multiple autonomous systems is an inevitable trend of future intelligent systems. It is a focus of planning of the next-generation artificial intelligence in China and i
Externí odkaz:
https://doaj.org/article/12e91e75cc4a4dcabea764a96c782458
Publikováno v:
中国工程科学, Vol 23, Iss 6, Pp 167-177 (2021)
Self-driving vehicle is a hot application of artificial intelligence, and the identification and measurement of its safety risks has become an urgent research topic in the field of artificial intelligence safety. In this study, we collect qualitative
Externí odkaz:
https://doaj.org/article/05ee912e9f8b4391867b59bf24f874fc
Recently, State Space Models (SSMs) with efficient hardware-aware designs, i.e., Mamba, have demonstrated significant potential in computer vision tasks due to their linear computational complexity with respect to token length and their global recept
Externí odkaz:
http://arxiv.org/abs/2410.03174
Autor:
Wang, Yusong, Cheng, Chaoran, Li, Shaoning, Ren, Yuxuan, Shao, Bin, Liu, Ge, Heng, Pheng-Ann, Zheng, Nanning
Geometric graph neural networks (GNNs) have emerged as powerful tools for modeling molecular geometry. However, they encounter limitations in effectively capturing long-range interactions in large molecular systems. To address this challenge, we intr
Externí odkaz:
http://arxiv.org/abs/2409.17622
Autor:
Ma, Chengzhong, Yang, Houxue, Zhang, Hanbo, Liu, Zeyang, Zhao, Chao, Tang, Jian, Lan, Xuguang, Zheng, Nanning
Grasping large and flat objects (e.g. a book or a pan) is often regarded as an ungraspable task, which poses significant challenges due to the unreachable grasping poses. Previous works leverage Extrinsic Dexterity like walls or table edges to grasp
Externí odkaz:
http://arxiv.org/abs/2409.05493
Semi-supervised learning has emerged as a widely adopted technique in the field of medical image segmentation. The existing works either focuses on the construction of consistency constraints or the generation of pseudo labels to provide high-quality
Externí odkaz:
http://arxiv.org/abs/2409.05122
Autor:
Li, Shaoning, Li, Mingyu, Wang, Yusong, He, Xinheng, Zheng, Nanning, Zhang, Jian, Heng, Pheng-Ann
Investigating conformational landscapes of proteins is a crucial way to understand their biological functions and properties. AlphaFlow stands out as a sequence-conditioned generative model that introduces flexibility into structure prediction models
Externí odkaz:
http://arxiv.org/abs/2407.12053
Compositional Generalization (CG) embodies the ability to comprehend novel combinations of familiar concepts, representing a significant cognitive leap in human intellectual advancement. Despite its critical importance, the deep neural network (DNN)
Externí odkaz:
http://arxiv.org/abs/2405.11743
Autor:
Bi, Tianci, Zhang, Xiaoyi, Zhang, Zhizheng, Xie, Wenxuan, Lan, Cuiling, Lu, Yan, Zheng, Nanning
Significant progress has been made in scene text detection models since the rise of deep learning, but scene text layout analysis, which aims to group detected text instances as paragraphs, has not kept pace. Previous works either treated text detect
Externí odkaz:
http://arxiv.org/abs/2405.07481