Min Wang

According to our database, Min Wang authored at least 14 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Confidence-based and sample-reweighted test-time adaptation.

Hao Yang, Min Wang, Zhengfei Yu, Hang Zhang, Jinshen Jiang, Yun Zhou

Knowl. Based Syst., January, 2024

Non-informative noise-enhanced stochastic neural networks for improving adversarial robustness.

Hao Yang, Min Wang, Qi Wang, Zhengfei Yu, Guangyin Jin, Chunlai Zhou, Yun Zhou

Inf. Fusion, 2024

Towards Test Time Domain Adaptation via Negative Label Smoothing.

Hao Yang, Hao Zuo, Rui Zhou, Min Wang, Yun Zhou

Neurocomputing, 2024

Maximizing Feature Distribution Variance for Robust Neural Networks.

Hao Yang, Min Wang, Zhengfei Yu, Zhi Zeng, Mingrui Lao, Yun Zhou

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Balanced Confidence Calibration for Graph Neural Networks.

Hao Yang, Min Wang, Qi Wang, Mingrui Lao, Yun Zhou

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Towards Test Time Adaptation via Calibrated Entropy Minimization.

Hao Yang, Min Wang, Jinshen Jiang, Yun Zhou

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Moderate Message Passing Improves Calibration: A Universal Way to Mitigate Confidence Bias in Graph Neural Networks.

Min Wang, Hao Yang, Jincai Huang, Qing Cheng

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

A Simple Stochastic Neural Network for Improving Adversarial Robustness.

Hao Yang, Min Wang, Zhengfei Yu, Yun Zhou

Proceedings of the IEEE International Conference on Multimedia and Expo, 2023

Weight-based Regularization for Improving Robustness in Image Classification.

Hao Yang, Min Wang, Zhengfei Yu, Yun Zhou

Proceedings of the IEEE International Conference on Multimedia and Expo, 2023

2022

STGNN-TTE: Travel time estimation via spatial-temporal graph neural network.

Guangyin Jin, Min Wang, Jinlei Zhang, Hengyu Sha, Jincai Huang

Future Gener. Comput. Syst., 2022

Rethinking Feature Uncertainty in Stochastic Neural Networks for Adversarial Robustness.

Hao Yang, Min Wang, Zhengfei Yu, Yun Zhou

CoRR, 2022

GCL: Graph Calibration Loss for Trustworthy Graph Neural Network.

Min Wang, Hao Yang, Qing Cheng

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

2021

Towards Stochastic Neural Network via Feature Distribution Calibration.

Hao Yang, Min Wang, Yun Zhou, Yongxin Yang

Proceedings of the IEEE International Conference on Data Mining, 2021

2020

Analysis of the European stock market's advance response time to COVID-19 based on Pearson correlation Coefficient.

Min Wang, Qing Cheng, Jincai Huang, Guangquan Cheng

Proceedings of the ACAI 2020: 3rd International Conference on Algorithms, 2020