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ORCIDMing Xu 0014
Person information
- affiliation: Nanjing University, Department of Computer Science and Technology, National Key Laboratory for Novel Software Technology, Nanjing, China
Other persons with the same name
- Ming Xu — disambiguation page
- Ming Xu 0001
![[0000-0001-9332-5258]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0001-9332-5258")
— Hangzhou Dianzi University, School of Cyberspace, School of Computer Science and Technology, Internet and Network Security Laboratory, China (and 1 more) - Ming Xu 0002 — National University of Defense Technology, College of Computer, Changsha, China (and 1 more)
- Ming Xu 0003 — Beihang University, School of Astronautics, Department of Aerospace Engineering, Beijing, China
- Ming Xu 0004 — University of Michigan, School of Natural Resources and Environment, Ann Arbor, MI, USA
- Ming Xu 0005 — Tongji University, Department of Computer Science and Technology, Shanghai, China (and 2 more)
- Ming Xu 0006 — Fudan University, Software School, Shanghai Key Laboratory of Data Science, China
- Ming Xu 0007 — Northeastern University, School of Information Science and Engineering, Shenyang, China
- Ming Xu 0008 — Tsinghua University, Research Institute of Information Technology, Beijing, China (and 1 more)
- Ming Xu 0009 — Shanghai Maritime University, College of Information Engineering, Department of Computer Science, China
- Ming Xu 0010 — East China Normal University, School of Software Engineering, Department of Computer Science and Technology, Shanghai Key Laboratory of Trustworthy Computing, Shanghai, China
- Ming Xu 0011 — University of Liverpool, Department of Electrical Engineering and Electronics, UK (and 5 more)
- Ming Xu 0012 — Minzu University, School of Preparatory Education, Key Laboratory of Information Materials of Sichuan Province, Chengdu, China
- Ming Xu 0013 — NingboTech University, Institute of Automation and Electrical Engineering, Ningbo, China (and 1 more)
- Ming Xu 0015 — Queensland University of Technology, School of Electrical Engineering and Robotics, Brisbane, Australia (and 1 more)
- Ming Xu 0016 — Nanjing University of Aeronautics and Astronautics, College of Electronic and Information Engineering, Nanjing, China
- Ming Xu 0017 — University of Wisconsin-Milwaukee, Department of Computer Science, Milwaukee, WI, USA
- Ming Xu 0018 — Guizhou University of Finance and Economics, School of Mathematics and Statistics, Guizhou Key Laboratory of Big Data Statistical Analysis, Guiyang, China
- Ming Xu 0019 — National University of Defense Technology, College of Electronic Science, Changsha, China
- Ming Xu 0020 — Ocean University of China, College of Marine Technology, Qingdao, China
- Ming Xu 0021 — Future Cities Laboratory, Singapore
- Ming Xu 0022 — National University of Defense Technology, College of Intelligence Science and Technology, Department of Automation, Changsha, China (and 1 more)
- Ming Xu 0023 — Wuhan University, Department of Philosophy, Wuhan, China (and 3 more)
- Ming Xu 0024 — Fudan University, School of Microelectronics, State Key Laboratory of ASIC and System, Shanghai, China
- Ming Xu 0025 — Shenzhen University, School of Electronic and Information Engineering, China
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2020 – today
- 2023
[c15]Mingcai Chen, Hao Cheng, Yuntao Du, Ming Xu, Wenyu Jiang, Chongjun Wang:
Two Wrongs Don't Make a Right: Combating Confirmation Bias in Learning with Label Noise. AAAI 2023: 14765-14773- 2022
- [j2]Jinliang Yuan, Yirong Yao, Ming Xu, Hualei Yu, Junyuan Xie, Chongjun Wang:
Graph structure learning based on feature and label consistency. Intell. Data Anal. 26(6): 1539-1555 (2022) - [c14]Ming Xu, Baoming Zhang, Jinliang Yuan, Meng Cao, Chongjun Wang:
NED-GNN: Detecting and Dropping Noisy Edges in Graph Neural Networks. APWeb/WAIM (1) 2022: 91-105 - [c13]Ming Xu, Baoming Zhang, Meng Cao, Hualei Yu, Chongjun Wang:
LSEGNN: Encode Local Topology Structure in Graph Neural Networks. IPCCC 2022: 49-56 - [c12]Baoming Zhang, Ming Xu, Mingcai Chen, Mingyuan Chen, Chongjun Wang:
CopGAT: Co-propagation Self-supervised Graph Attention Network. ISPA/BDCloud/SocialCom/SustainCom 2022: 18-25 - 2021
- [j1]Meng Cao, Jinliang Yuan, Ming Xu, Hualei Yu, Chongjun Wang:
Local Structural Aware Heterogeneous Information Network Embedding Based on Relational Self-Attention Graph Neural Network. IEEE Access 9: 88301-88312 (2021) - [c11]Jinliang Yuan, Hualei Yu, Meng Cao, Ming Xu, Junyuan Xie, Chongjun Wang:
Semi-Supervised and Self-Supervised Classification with Multi-View Graph Neural Networks. CIKM 2021: 2466-2476 - [c10]Ming Xu, Luoyi Zhang, Baoming Zhang, Meng Cao, Jinliang Yuan, Chongjun Wang:
EPINE: Enhanced Proximity Information Network Embedding. ISPA/BDCloud/SocialCom/SustainCom 2021: 143-150 - [c9]Jie Zhang, Kefan Li, Baoming Zhang, Ming Xu, Chongjun Wang:
QMIMC: Q-Learning Model Based on Imperfect-information under Multi-agent Crowdtesting. ISPA/BDCloud/SocialCom/SustainCom 2021: 1110-1117 - [c8]Jie Zhang, Kefan Li, Baoming Zhang, Ming Xu, Chongjun Wang:
Parallel Counterfactual Regret Minimization in Crowdsourcing Imperfect-information Expanded Game. ISPA/BDCloud/SocialCom/SustainCom 2021: 1444-1451 - [i2]Mingcai Chen, Hao Cheng, Yuntao Du, Ming Xu, Wenyu Jiang, Chongjun Wang:
Two Wrongs Don't Make a Right: Combating Confirmation Bias in Learning with Label Noise. CoRR abs/2112.02960 (2021) - 2020
- [c7]Meng Cao, Xiying Ma, Kai Zhu, Ming Xu, Chongjun Wang:
Heterogeneous Information Network Embedding with Convolutional Graph Attention Networks. IJCNN 2020: 1-8 - [i1]Luoyi Zhang, Ming Xu:
EPINE: Enhanced Proximity Information Network Embedding. CoRR abs/2003.02689 (2020)
2010 – 2019
- 2019
- [c6]Meng Cao, Xiying Ma, Ming Xu, Chongjun Wang:
Heterogeneous Information Network Embedding with Meta-path Based Graph Attention Networks. ICANN (Workshop) 2019: 622-634 - 2018
- [c5]Qian Chen, Yuntao Du, Ming Xu, Chong-Jun Wang:
HetEOTL: An Algorithm for Heterogeneous Online Transfer Learning. ICTAI 2018: 350-357 - 2017
- [c4]Ming Xu, Yang Cai, He-Sheng Wu, Chongjun Wang, Ning Li:
Intensity of Relationship Between Words: Using Word Triangles in Topic Discovery for Short Texts. APWeb/WAIM (1) 2017: 642-649 - [c3]Yue Peng, Gang Chen, Ming Xu, Chongjun Wang, Junyuan Xie:
Multi-label Learning by Exploiting Label Correlations with LDA. ICTAI 2017: 168-174 - 2016
- [c2]Lan Jiang, Hengyang Lu, Ming Xu, Chongjun Wang:
Biterm Pseudo Document Topic Model for Short Text. ICTAI 2016: 865-872 - 2015
- [c1]Hengyang Lu, Fei-yu Chen, Ming Xu, Chong-Jun Wang, Jun-Yuan Xie:
Never Ignore the Significance of Different Anomalies: A Cost-Sensitive Algorithm Based on Loss Function for Anomaly Detection. ICTAI 2015: 1099-1105
Coauthor Index
aka: Chongjun Wang
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