Reservoir Characterization during Underbalanced Drilling of Horizontal Wells Based on Real-Time Data Monitoring. - Gao Li; Hongtao Li; Yingfeng Meng; Na Wei; Chaoyang Xu; Li Zhu; Haibo Tang (J. Appl. Math., 2014)

Numerical simulation of gas-liquid two-phase flow in wellbore based on drift flux model. - Na Wei; Chaoyang Xu; Yingfeng Meng; Gao Li; Xiao Ma; Anqi Liu (Appl. Math. Comput., 2018)

Unsupervised Dimension Reduction for Image Classification Using Regularized Convolutional Auto-Encoder. - Chaoyang Xu; Ling Wu; Shiping Wang (CVC (1), 2019)

Stacked Autoencoder Based Weak Supervision for Social Image Understanding. - Chaoyang Xu; Yuanfei Dai; Renjie Lin; Shiping Wang (IEEE Access, 2019)

Generative adversarial networks based on Wasserstein distance for knowledge graph embeddings. - Yuanfei Dai; Shiping Wang; Xing Chen 002; Chaoyang Xu; Wenzhong Guo (Knowl. Based Syst., 2020)

Social image refinement and annotation via weakly-supervised variational auto-encoder. - Chaoyang Xu; Yuanfei Dai; Renjie Lin; Shiping Wang (Knowl. Based Syst., 2020)

Deep clustering by maximizing mutual information in variational auto-encoder. - Chaoyang Xu; Yuanfei Dai; Renjie Lin; Shiping Wang (Knowl. Based Syst., 2020)

Dynamic community detection method based on an improved evolutionary matrix. - Ling Wu; Qishan Zhang; Kun Guo 003; Erbao Chen; Chaoyang Xu (Concurr. Comput. Pract. Exp., 2021)

An efficient policy evaluation engine for XACML policy management. - Fan Deng 003; Zhenhua Yu 001; Wenjing Liu; Xiaoqing Luo; Yu Fu; Ben Qiang; Chaoyang Xu; Zhiwu Li 001 (Inf. Sci., 2021)

Balance label correction using contrastive loss. - Bin Huang; Adi Alhudhaif; Fayadh Alenezi; Sara A. Althubiti; Chaoyang Xu (Inf. Sci., 2022)

Contrastive label correction for noisy label learning. - Bin Huang; Yaohai Lin; Chaoyang Xu (Inf. Sci., 2022)

Deep image clustering by fusing contrastive learning and neighbor relation mining. - Chaoyang Xu; Renjie Lin; Jinyu Cai; Shiping Wang (Knowl. Based Syst., 2022)

Unsupervised deep clustering via contractive feature representation and focal loss. - Jinyu Cai; Shiping Wang; Chaoyang Xu; Wenzhong Guo (Pattern Recognit., 2022)

Combining layered label correction and mixup supervised contrastive learning to learn noisy labels. - Bin Huang; Ping Zhang; Chaoyang Xu (Inf. Sci., 2023)

Label correction using contrastive prototypical classifier for noisy label learning. - Chaoyang Xu; Renjie Lin; Jinyu Cai; Shiping Wang (Inf. Sci., 2023)