Analysis of the European stock market's advance response time to COVID-19 based on Pearson correlation Coefficient. - Min Wang 034; Qing Cheng 004; Jincai Huang 001; Guangquan Cheng (ACAI, 2020)

Towards Stochastic Neural Network via Feature Distribution Calibration. - Hao Yang 042; Min Wang 034; Yun Zhou 001; Yongxin Yang (ICDM, 2021)

GCL: Graph Calibration Loss for Trustworthy Graph Neural Network. - Min Wang 034; Hao Yang 042; Qing Cheng 004 (ACM Multimedia, 2022)

Rethinking Feature Uncertainty in Stochastic Neural Networks for Adversarial Robustness. - Hao Yang 042; Min Wang 034; Zhengfei Yu; Yun Zhou 001 (CoRR, 2022)

STGNN-TTE: Travel time estimation via spatial-temporal graph neural network. - Guangyin Jin; Min Wang 034; Jinlei Zhang; Hengyu Sha; Jincai Huang 001 (Future Gener. Comput. Syst., 2022)

Weight-based Regularization for Improving Robustness in Image Classification. - Hao Yang 042; Min Wang 034; Zhengfei Yu; Yun Zhou 001 (ICME, 2023)

A Simple Stochastic Neural Network for Improving Adversarial Robustness. - Hao Yang 042; Min Wang 034; Zhengfei Yu; Yun Zhou 001 (ICME, 2023)

Moderate Message Passing Improves Calibration: A Universal Way to Mitigate Confidence Bias in Graph Neural Networks. - Min Wang 034; Hao Yang 042; Jincai Huang 001; Qing Cheng 004 (AAAI, 2024)

Towards Test Time Adaptation via Calibrated Entropy Minimization. - Hao Yang 042; Min Wang 034; Jinshen Jiang; Yun Zhou 001 (KDD, 2024)

Balanced Confidence Calibration for Graph Neural Networks. - Hao Yang 042; Min Wang 034; Qi Wang 005; Mingrui Lao; Yun Zhou 001 (KDD, 2024)

Maximizing Feature Distribution Variance for Robust Neural Networks. - Hao Yang 042; Min Wang 034; Zhengfei Yu; Zhi Zeng; Mingrui Lao; Yun Zhou 001 (ACM Multimedia, 2024)

Towards Test Time Domain Adaptation via Negative Label Smoothing. - Hao Yang 042; Hao Zuo; Rui Zhou; Min Wang 034; Yun Zhou 001 (Neurocomputing, 2024)

Non-informative noise-enhanced stochastic neural networks for improving adversarial robustness. - Hao Yang 042; Min Wang 034; Qi Wang 005; Zhengfei Yu; Guangyin Jin; Chunlai Zhou; Yun Zhou 001 (Inf. Fusion, 2024)

Confidence-based and sample-reweighted test-time adaptation. - Hao Yang 042; Min Wang 034; Zhengfei Yu; Hang Zhang 008; Jinshen Jiang; Yun Zhou 001 (Knowl. Based Syst., 2024)