Zobrazeno 1 - 10
of 141
pro vyhledávání: '"Peng, Jianhao"'
Autor:
Rana, Vishal, Peng, Jianhao, Pan, Chao, Lyu, Hanbaek, Cheng, Albert, Kim, Minji, Milenkovic, Olgica
Dictionary learning (DL) is commonly used in computational biology to tackle ubiquitous clustering problems due to its conceptual simplicity and relatively low computational complexity. However, DL algorithms produce results that lack interpretabilit
Externí odkaz:
http://arxiv.org/abs/2312.10519
Autor:
Xu, Rongrong, Zhang, Puzhen, Wu, Tingting, Liu, Hao, Wang, Feifei, Peng, Jianhao, Lu, Shuai, Jiang, Xieyuan, Li, Zhigang, Wei, Yongjie
Publikováno v:
In Journal of Hazardous Materials 5 December 2024 480
Many high-dimensional practical data sets have hierarchical structures induced by graphs or time series. Such data sets are hard to process in Euclidean spaces and one often seeks low-dimensional embeddings in other space forms to perform the require
Externí odkaz:
http://arxiv.org/abs/2203.03730
Hypergraphs are used to model higher-order interactions amongst agents and there exist many practically relevant instances of hypergraph datasets. To enable efficient processing of hypergraph-structured data, several hypergraph neural network platfor
Externí odkaz:
http://arxiv.org/abs/2106.13264
Embedding methods for product spaces are powerful techniques for low-distortion and low-dimensional representation of complex data structures. Here, we address the new problem of linear classification in product space forms -- products of Euclidean,
Externí odkaz:
http://arxiv.org/abs/2102.10204
Autor:
Rana, Vishal1 (AUTHOR), Peng, Jianhao1 (AUTHOR), Pan, Chao1 (AUTHOR), Lyu, Hanbaek2 (AUTHOR), Cheng, Albert3 (AUTHOR), Kim, Minji4 (AUTHOR), Milenkovic, Olgica1 (AUTHOR) milenkov@illinois.edu
Publikováno v:
PLoS Computational Biology. 5/16/2024, Vol. 20 Issue 5, p1-24. 24p.
Many data analysis problems can be cast as distance geometry problems in \emph{space forms} -- Euclidean, spherical, or hyperbolic spaces. Often, absolute distance measurements are often unreliable or simply unavailable and only proxies to absolute d
Externí odkaz:
http://arxiv.org/abs/2006.09858
In many important graph data processing applications the acquired information includes both node features and observations of the graph topology. Graph neural networks (GNNs) are designed to exploit both sources of evidence but they do not optimally
Externí odkaz:
http://arxiv.org/abs/2006.07988
Autor:
Xu, Rongrong, Peng, Jianhao, Zhang, Puzhen, Guo, Chen, Jiang, Xieyuan, Lu, Shuai, Kang, Yulin, Xu, Qiujin, Li, Zhigang, Wei, Yongjie
Publikováno v:
In Environmental Technology & Innovation November 2023 32
Autor:
Li, Zhigang, Su, Qiaoqiao, Xu, Rongrong, Peng, Jianhao, Wang, Zhanshan, Zhu, Xiaojing, Wei, Yongjie
Publikováno v:
In Environmental Pollution 15 October 2023 335