no code implementations • 21 Sep 2023 • Jiakang Li, Songning Lai, Zhihao Shuai, Yuan Tan, Yifan Jia, Mianyang Yu, Zichen Song, Xiaokang Peng, Ziyang Xu, Yongxin Ni, Haifeng Qiu, Jiayu Yang, Yutong Liu, Yonggang Lu
This review article delves into the topic of community detection in graphs, which serves as a thorough exposition of various community detection methods from perspectives of modularity-based method, spectral clustering, probabilistic modelling, and deep learning.
no code implementations • 15 May 2023 • Songning Lai, Jiakang Li, Guinan Guo, Xifeng Hu, Yulong Li, Yuan Tan, Zichen Song, Yutong Liu, Zhaoxia Ren, Chun Wan, Danmin Miao, Zhi Liu
In this work, we propose a deep modal shared information learning module based on the covariance matrix to capture the shared information between modalities.
no code implementations • 19 Apr 2023 • Jie Hou, Jiakang Li, Xiaokang Peng, Wei Ke, Yonggang Lu
During the process of finding the next medoid, the RMS algorithm is based on a neighborhood defined by KNN, while the original Medoid-Shift is based on a neighborhood defined by a distance parameter.
no code implementations • 15 Sep 2020 • Linlin Zheng, Jiakang Li, Meng Sun, Xiongwei Zhang, Thomas Fang Zheng
The proposed approach generalizes well to restore the disguise with nonlinear frequency warping in VTLN by reducing its EER from 34. 3% to 18. 5%.