Never Ignore the Significance of Different Anomalies: A Cost-Sensitive Algorithm Based on Loss Function for Anomaly Detection. - Hengyang Lu; Fei-yu Chen; Ming Xu 014; Chong-Jun Wang; Jun-Yuan Xie (ICTAI, 2015)

Biterm Pseudo Document Topic Model for Short Text. - Lan Jiang 001; Hengyang Lu; Ming Xu 014; Chongjun Wang (ICTAI, 2016)

Intensity of Relationship Between Words: Using Word Triangles in Topic Discovery for Short Texts. - Ming Xu 014; Yang Cai; He-Sheng Wu; Chongjun Wang; Ning Li 013 (APWeb/WAIM (1), 2017)

Multi-label Learning by Exploiting Label Correlations with LDA. - Yue Peng; Gang Chen; Ming Xu 014; Chongjun Wang; Junyuan Xie (ICTAI, 2017)

HetEOTL: An Algorithm for Heterogeneous Online Transfer Learning. - Qian Chen; Yuntao Du 001; Ming Xu 014; Chong-Jun Wang (ICTAI, 2018)

Heterogeneous Information Network Embedding with Meta-path Based Graph Attention Networks. - Meng Cao 004; Xiying Ma; Ming Xu 014; Chongjun Wang (ICANN (Workshop), 2019)

Heterogeneous Information Network Embedding with Convolutional Graph Attention Networks. - Meng Cao 004; Xiying Ma; Kai Zhu; Ming Xu 014; Chongjun Wang (IJCNN, 2020)

EPINE: Enhanced Proximity Information Network Embedding. - Luoyi Zhang; Ming Xu 014 (CoRR, 2020)

Semi-Supervised and Self-Supervised Classification with Multi-View Graph Neural Networks. - Jinliang Yuan; Hualei Yu; Meng Cao 004; Ming Xu 014; Junyuan Xie; Chongjun Wang (CIKM, 2021)

EPINE: Enhanced Proximity Information Network Embedding. - Ming Xu 014; Luoyi Zhang; Baoming Zhang; Meng Cao 004; Jinliang Yuan; Chongjun Wang (ISPA/BDCloud/SocialCom/SustainCom, 2021)

QMIMC: Q-Learning Model Based on Imperfect-information under Multi-agent Crowdtesting. - Jie Zhang; Kefan Li; Baoming Zhang; Ming Xu 014; Chongjun Wang (ISPA/BDCloud/SocialCom/SustainCom, 2021)

Parallel Counterfactual Regret Minimization in Crowdsourcing Imperfect-information Expanded Game. - Jie Zhang; Kefan Li; Baoming Zhang; Ming Xu 014; Chongjun Wang (ISPA/BDCloud/SocialCom/SustainCom, 2021)

Local Structural Aware Heterogeneous Information Network Embedding Based on Relational Self-Attention Graph Neural Network. - Meng Cao 004; Jinliang Yuan; Ming Xu 014; Hualei Yu; Chongjun Wang (IEEE Access, 2021)

NED-GNN: Detecting and Dropping Noisy Edges in Graph Neural Networks. - Ming Xu 014; Baoming Zhang; Jinliang Yuan; Meng Cao 004; Chongjun Wang (APWeb/WAIM (1), 2022)

LSEGNN: Encode Local Topology Structure in Graph Neural Networks. - Ming Xu 014; Baoming Zhang; Meng Cao 004; Hualei Yu; Chongjun Wang (IPCCC, 2022)

CopGAT: Co-propagation Self-supervised Graph Attention Network. - Baoming Zhang; Ming Xu 014; Mingcai Chen; Mingyuan Chen; Chongjun Wang (ISPA/BDCloud/SocialCom/SustainCom, 2022)

Graph structure learning based on feature and label consistency. - Jinliang Yuan; Yirong Yao; Ming Xu 014; Hualei Yu; Junyuan Xie; Chongjun Wang (Intell. Data Anal., 2022)

Two Wrongs Don't Make a Right: Combating Confirmation Bias in Learning with Label Noise. - Mingcai Chen; Hao Cheng 014; Yuntao Du 001; Ming Xu 014; Wenyu Jiang; Chongjun Wang (AAAI, 2023)