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Min Wang 0034

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affiliation: National University of Defense Technology, China

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Min Wang — disambiguation page
Min Wang 0001 — Google Research, Mountain View, CA, USA (and 3 more)
Min Wang 0002 — Huazhong University of Science and Technology, Department of Control Science and Engineering, Intelligent Control and Robotics Laboratory, Wuhan, China (and 1 more)
Min Wang 0003 — South China University of Technology, School of Automation Science and Engineering, Guangzhou Key Laboratory of Brain Computer Interaction and Applications, China (and 1 more)
Min Wang 0004 — Texas Tech University, Department of Mathematics and Statistics, Lubbock, TX, USA (and 2 more)
Min Wang 0005 — Nanjing University of Posts and Telecommunications, College of Computer Science and Technology, China
Min Wang 0006 — National Institute of Metrology, Division of Mechanics and Acoustics, Beijing, China (and 1 more)
Min Wang 0007 — Xidian University, Department of Electrical Engineering, Institute of Intelligent Information Processing, Xi'an, China
Min Wang 0008 — Nanjing University of Science and Technology, School of Electronic and Optical Engineering, Ministerial Key Laboratory of JGMT, China
Min Wang 0009 — University of New South Wales, School of Engineering and Information Technology, Campbell, ACT, Australia

Min Wang 0010 — University of Bayreuth, Germany
Min Wang 0011 — Beihang University, Institute of Robotics, School of Mechanical Engineering and Automation, Beijing, China
Min Wang 0012 — Southeast University, School of Economics and Management, Nanjing, China
Min Wang 0013 — Shanghai University, Institute of Biomedical Engineering, School of Communication and information Engineering, China
Min Wang 0014 — Shanghai Jiao Tong University, Department of Micro/Nano Electronics, China
Min Wang 0015 — Hunan Agricultural University, College of Science, Changsha, China
Min Wang 0016 — Sichuan University, Chengdu, College of Electronics and Information Engineering, China (and 1 more)
Min Wang 0017 — Wuhan University, School of Computer Science, China
Min Wang 0018 — Daqing Oilfield Limited Company, Logging and Testing Services Company, China
Min Wang 0019 — Hefei Comprehensive National Science Center, Institute of Artificial Intelligence, China (and 1 more)
Min Wang 0020 — Gannan Normal University, School of Mathematics and Computer Science, Ganzhou, China (and 1 more)
Min Wang 0021 — Hefei University of Technology, China
Min Wang 0022 — University of Electronic Science and Technology of China, School of Mathematical Sciences, Chengdu, China
Min Wang 0023 — Shanghai University, School of Mechatronic Engineering and Automation, China
Min Wang 0024 — Shanghai Jiao Tong University, Department of Computer Science and Engineering, China
Min Wang 0025 — Kennesaw State University, Department of Mathematics, Marietta, GA, USA (and 4 more)
Min Wang 0026 — Yangzhou University, College of Information Engineering, Yangzhou, China (and 1 more)
Min Wang 0027 — National University of Defense Technology, College of Meteorology and Oceanography, Nanjing, China (and 1 more)
Min Wang 0028 — Chongqing University of Posts and Telecommunications, School of Optoelectronics Engineering, China (and 1 more)
Min Wang 0029 — East China Jiaotong University, School of Information Engineering, Nanchang, China
Min Wang 0030 — Northeastern University at Qinhuangdao, School of Economics, China
Min Wang 0031 — Southwest Petroleum University, Chengdu, China
Min Wang 0032 — City University of Hong Kong, Department of Mechanical Engineering, China
Min Wang 0033 — Beihang University, Fert Beijing Institute, MIIT Key Laboratory of Spintronics, School of Integrated Circuit Science and Engineering, China
Min Wang 0035 — Hunan University of Science and Technology, School of Chemistry and Chemical Engineering, Xiangtan, China
Min Wang 0036 — Tiangong University, College of Life Sciences, Tianjin, China

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2020 – today

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2024
[j4]
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Hao Yang, Hao Zuo, Rui Zhou, Min Wang, Yun Zhou:
Towards Test Time Domain Adaptation via Negative Label Smoothing. Neurocomputing 600: 128182 (2024)
[j3]
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Hao Yang, Min Wang, Qi Wang, Zhengfei Yu, Guangyin Jin, Chunlai Zhou, Yun Zhou:
Non-informative noise-enhanced stochastic neural networks for improving adversarial robustness. Inf. Fusion 108: 102397 (2024)
[j2]
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Hao Yang, Min Wang, Zhengfei Yu, Hang Zhang, Jinshen Jiang, Yun Zhou:
Confidence-based and sample-reweighted test-time adaptation. Knowl. Based Syst. 283: 111164 (2024)
[c9]
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Min Wang, Hao Yang, Jincai Huang, Qing Cheng:
Moderate Message Passing Improves Calibration: A Universal Way to Mitigate Confidence Bias in Graph Neural Networks. AAAI 2024: 21681-21689
[c8]
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Hao Yang, Min Wang, Jinshen Jiang, Yun Zhou:
Towards Test Time Adaptation via Calibrated Entropy Minimization. KDD 2024: 3736-3746
[c7]
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Hao Yang, Min Wang, Qi Wang, Mingrui Lao, Yun Zhou:
Balanced Confidence Calibration for Graph Neural Networks. KDD 2024: 3747-3757
[c6]
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Hao Yang, Min Wang, Zhengfei Yu, Zhi Zeng, Mingrui Lao, Yun Zhou:
Maximizing Feature Distribution Variance for Robust Neural Networks. ACM Multimedia 2024: 9943-9951
2023
[c5]
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Hao Yang, Min Wang, Zhengfei Yu, Yun Zhou:
Weight-based Regularization for Improving Robustness in Image Classification. ICME 2023: 1775-1780
[c4]
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Hao Yang, Min Wang, Zhengfei Yu, Yun Zhou:
A Simple Stochastic Neural Network for Improving Adversarial Robustness. ICME 2023: 2297-2302
2022
[j1]
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Guangyin Jin, Min Wang, Jinlei Zhang, Hengyu Sha, Jincai Huang:
STGNN-TTE: Travel time estimation via spatial-temporal graph neural network. Future Gener. Comput. Syst. 126: 70-81 (2022)
[c3]
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Min Wang, Hao Yang, Qing Cheng:
GCL: Graph Calibration Loss for Trustworthy Graph Neural Network. ACM Multimedia 2022: 988-996
[i1]
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  - journals/corr/abs-2201-00148
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Hao Yang, Min Wang, Zhengfei Yu, Yun Zhou:
Rethinking Feature Uncertainty in Stochastic Neural Networks for Adversarial Robustness. CoRR abs/2201.00148 (2022)
2021
[c2]
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Hao Yang, Min Wang, Yun Zhou, Yongxin Yang:
Towards Stochastic Neural Network via Feature Distribution Calibration. ICDM 2021: 1445-1450
2020
[c1]
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Min Wang, Qing Cheng, Jincai Huang, Guangquan Cheng:
Analysis of the European stock market's advance response time to COVID-19 based on Pearson correlation Coefficient. ACAI 2020: 17:1-17:7

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