no code implementations • 23 May 2024 • He Zou, Meng'en Qin, Yu Song, XiaoHui Yang
In this paper, we introduce IB-AdCSCNet, a deep learning model grounded in information bottleneck theory.
no code implementations • 25 Oct 2023 • Dui Wang, Xiangyu Hou, XiaoHui Yang, Bo Zhang, Renbing Chen, Daiyue Xue
Recommendation system (RS) plays significant roles in matching users information needs for Internet applications, and it usually utilizes the vanilla neural network as the backbone to handle embedding details.
no code implementations • 4 Nov 2021 • XiaoHui Yang, Zheng Wang, Huan Wu, Licheng Jiao, Yiming Xu, Haolin Chen
The proposed model aims to mine the hidden semantic information and intrinsic structure information of all available data, which is suitable for few labeled samples and proportion imbalance between labeled samples and unlabeled samples problems in frontal face recognition.
no code implementations • 10 Mar 2018 • Xiaohui Yang, Xiaoying Jiang, WenMing Wu, Juan Zhang, Dan Long, Funa Zhou, Yiming Xu
The proposed low-rank variation dictionary tackles tumor recognition problem from the viewpoint of detecting and using variations in gene expression profiles of normal and patients, rather than directly using these samples.
no code implementations • 9 Mar 2018 • Xiaohui Yang, Wen-Ming Wu, Yun-Mei Chen, Xianqi Li, Juan Zhang, Dan Long, Li-Jun Yang
Extensive experiments on six public microarray gene expression datasets show the integrated ISSRC-based tumor classification framework is superior to classical and state-of-the-art methods.