Ming Xu

According to our database, Ming Xu authored at least 18 papers between 2015 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2023

Two Wrongs Don't Make a Right: Combating Confirmation Bias in Learning with Label Noise.

Mingcai Chen, Hao Cheng, Yuntao Du, Ming Xu, Wenyu Jiang, Chongjun Wang

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Graph structure learning based on feature and label consistency.

Jinliang Yuan, Yirong Yao, Ming Xu, Hualei Yu, Junyuan Xie, Chongjun Wang

Intell. Data Anal., 2022

CopGAT: Co-propagation Self-supervised Graph Attention Network.

Baoming Zhang, Ming Xu, Mingcai Chen, Mingyuan Chen, Chongjun Wang

Proceedings of the IEEE Intl Conf on Parallel & Distributed Processing with Applications, 2022

LSEGNN: Encode Local Topology Structure in Graph Neural Networks.

Ming Xu, Baoming Zhang, Meng Cao, Hualei Yu, Chongjun Wang

Proceedings of the IEEE International Performance, 2022

NED-GNN: Detecting and Dropping Noisy Edges in Graph Neural Networks.

Ming Xu, Baoming Zhang, Jinliang Yuan, Meng Cao, Chongjun Wang

Proceedings of the Web and Big Data - 6th International Joint Conference, 2022

2021

Local Structural Aware Heterogeneous Information Network Embedding Based on Relational Self-Attention Graph Neural Network.

Meng Cao, Jinliang Yuan, Ming Xu, Hualei Yu, Chongjun Wang

IEEE Access, 2021

Parallel Counterfactual Regret Minimization in Crowdsourcing Imperfect-information Expanded Game.

Jie Zhang, Kefan Li, Baoming Zhang, Ming Xu, Chongjun Wang

Proceedings of the 2021 IEEE Intl Conf on Parallel & Distributed Processing with Applications, Big Data & Cloud Computing, Sustainable Computing & Communications, Social Computing & Networking (ISPA/BDCloud/SocialCom/SustainCom), New York City, NY, USA, September 30, 2021

QMIMC: Q-Learning Model Based on Imperfect-information under Multi-agent Crowdtesting.

Jie Zhang, Kefan Li, Baoming Zhang, Ming Xu, Chongjun Wang

Proceedings of the 2021 IEEE Intl Conf on Parallel & Distributed Processing with Applications, Big Data & Cloud Computing, Sustainable Computing & Communications, Social Computing & Networking (ISPA/BDCloud/SocialCom/SustainCom), New York City, NY, USA, September 30, 2021

EPINE: Enhanced Proximity Information Network Embedding.

Ming Xu, Luoyi Zhang, Baoming Zhang, Meng Cao, Jinliang Yuan, Chongjun Wang

Proceedings of the 2021 IEEE Intl Conf on Parallel & Distributed Processing with Applications, Big Data & Cloud Computing, Sustainable Computing & Communications, Social Computing & Networking (ISPA/BDCloud/SocialCom/SustainCom), New York City, NY, USA, September 30, 2021

Semi-Supervised and Self-Supervised Classification with Multi-View Graph Neural Networks.

Jinliang Yuan, Hualei Yu, Meng Cao, Ming Xu, Junyuan Xie, Chongjun Wang

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020

EPINE: Enhanced Proximity Information Network Embedding.

Luoyi Zhang, Ming Xu

CoRR, 2020

Heterogeneous Information Network Embedding with Convolutional Graph Attention Networks.

Meng Cao, Xiying Ma, Kai Zhu, Ming Xu, Chongjun Wang

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

2019

Heterogeneous Information Network Embedding with Meta-path Based Graph Attention Networks.

Meng Cao, Xiying Ma, Ming Xu, Chongjun Wang

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019 - 28th International Conference on Artificial Neural Networks, Munich, Germany, September 17-19, 2019, Proceedings, 2019

2018

HetEOTL: An Algorithm for Heterogeneous Online Transfer Learning.

Qian Chen, Yuntao Du, Ming Xu, Chong-Jun Wang

Proceedings of the IEEE 30th International Conference on Tools with Artificial Intelligence, 2018

2017

Multi-label Learning by Exploiting Label Correlations with LDA.

Yue Peng, Gang Chen, Ming Xu, Chongjun Wang, Junyuan Xie

Proceedings of the 29th IEEE International Conference on Tools with Artificial Intelligence, 2017

Intensity of Relationship Between Words: Using Word Triangles in Topic Discovery for Short Texts.

Ming Xu, Yang Cai, He-Sheng Wu, Chongjun Wang, Ning Li

Proceedings of the Web and Big Data - First International Joint Conference, 2017

2016

Biterm Pseudo Document Topic Model for Short Text.

Lan Jiang, Hengyang Lu, Ming Xu, Chongjun Wang

Proceedings of the 28th IEEE International Conference on Tools with Artificial Intelligence, 2016

2015

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, Chong-Jun Wang, Jun-Yuan Xie

Proceedings of the 27th IEEE International Conference on Tools with Artificial Intelligence, 2015