Hao Yang

19 papers A* 7A 2B 1Journal 8Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
CATE: Consensus-aware calibration for test-time prompt tuning via energy anchoring.
Knowl. Based Syst.
Min Wang, Miao Jia, Hao Yang, Qing Cheng, Jin-Cai Huang
2026 J jnl
WPL: Learning to perturb network weights for adversarial robustness.
Knowl. Based Syst.
Min Wang, Hao Yang
2025 J jnl
Dynamic Adaptation for Class-Imbalanced Streams: An Imbalanced Continuous Test-Time Framework.
Symmetry
Wuxi Ma, Hao Yang
2024 A* conf
Balanced Confidence Calibration for Graph Neural Networks.
KDD
Hao Yang, Min Wang, Qi Wang, Mingrui Lao, Yun Zhou
2024 J jnl
Confidence-based and sample-reweighted test-time adaptation.
Knowl. Based Syst.
Hao Yang, Min Wang, Zhengfei Yu, Hang Zhang, Jinshen Jiang, Yun Zhou
2024 A* conf
Maximizing Feature Distribution Variance for Robust Neural Networks.
ACM Multimedia
Hao Yang, Min Wang, Zhengfei Yu, Zhi Zeng, Mingrui Lao, Yun Zhou
2024 A* conf
Mitigating World Biases: A Multimodal Multi-View Debiasing Framework for Fake News Video Detection.
ACM Multimedia
Zhi Zeng, Minnan Luo, Xiangzheng Kong, Huan Liu, Hao Guo, Hao Yang, Zihan Ma, Xiang Zhao
2024 A* conf
Moderate Message Passing Improves Calibration: A Universal Way to Mitigate Confidence Bias in Graph Neural Networks.
AAAI
Min Wang, Hao Yang, Jincai Huang, Qing Cheng
2024 J jnl
Non-informative noise-enhanced stochastic neural networks for improving adversarial robustness.
Inf. Fusion
Hao Yang, Min Wang, Qi Wang, Zhengfei Yu, Guangyin Jin, Chunlai Zhou, Yun Zhou
2024 A* conf
Towards Test Time Adaptation via Calibrated Entropy Minimization.
KDD
Hao Yang, Min Wang, Jinshen Jiang, Yun Zhou
2024 J jnl
Towards Test Time Domain Adaptation via Negative Label Smoothing.
Neurocomputing
Hao Yang, Hao Zuo, Rui Zhou, Min Wang, Yun Zhou
2023 A conf
A Simple Stochastic Neural Network for Improving Adversarial Robustness.
ICME
Hao Yang, Min Wang, Zhengfei Yu, Yun Zhou
2023 J jnl
CSAL: Cost sensitive active learning for multi-source drifting stream.
Knowl. Based Syst.
Hang Zhang, Weike Liu, Hao Yang, Yun Zhou, Cheng Zhu, Weiming Zhang
2023 A conf
Weight-based Regularization for Improving Robustness in Image Classification.
ICME
Hao Yang, Min Wang, Zhengfei Yu, Yun Zhou
2022 A* conf
GCL: Graph Calibration Loss for Trustworthy Graph Neural Network.
ACM Multimedia
Min Wang, Hao Yang, Qing Cheng
2022 J jnl
Rethinking Feature Uncertainty in Stochastic Neural Networks for Adversarial Robustness.
CoRR
Hao Yang, Min Wang, Zhengfei Yu, Yun Zhou
2022 — conf
Towards Robust Graph Convolution Network via Stochastic Activation.
ICSI (2)
Zhengfei Yu, Hao Yang, Lin Wang, Lijian Sun, Yun Zhou
2021 A* conf
Towards Stochastic Neural Network via Feature Distribution Calibration.
ICDM
Hao Yang, Min Wang, Yun Zhou, Yongxin Yang
2020 B conf
IDA-GAN: A Novel Imbalanced Data Augmentation GAN.
ICPR
Hao Yang, Yun Zhou