Yijun Bian

According to our database, Yijun Bian authored at least 18 papers between 2019 and 2026.

Collaborative distances:

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

2026

Improving Fairness with Ensemble Combination: Margin-Dependent Bounds.

Yijun Bian

Proceedings of the 2026 ACM Conference on Fairness, Accountability, and Transparency, 2026

2025

HL-HGAT: Heterogeneous Graph Attention Network via Hodge-Laplacian Operator.

Jinghan Huang, Qiufeng Chen, Pengli Zhu, Yijun Bian, Nanguang Chen, Moo K. Chung, Anqi Qiu

IEEE Trans. Pattern Anal. Mach. Intell., December, 2025

Fairness Research For Machine Learning Should Integrate Societal Considerations.

Yijun Bian, Lei You

CoRR, June, 2025

FairSHAP: Preprocessing for Fairness Through Attribution-Based Data Augmentation.

Lin Zhu, Yijun Bian, Lei You

CoRR, May, 2025

Towards Trustworthy Federated Learning.

Alina Basharat, Yijun Bian, Ping Xu, Zhi Tian

CoRR, March, 2025

Orthogonal Mixed-Effects Modeling for High-Dimensional Longitudinal Data: An Unsupervised Learning Approach.

Ming Chen, Yijun Bian, Nanguang Chen, Anqi Qiu

IEEE Trans. Medical Imaging, January, 2025

2024

Refining Counterfactual Explanations With Joint-Distribution-Informed Shapley Towards Actionable Minimality.

Lei You, Yijun Bian, Lele Cao

CoRR, 2024

Approximating Discrimination Within Models When Faced With Several Non-Binary Sensitive Attributes.

Yijun Bian, Yujie Luo, Ping Xu

CoRR, 2024

Does Machine Bring in Extra Bias in Learning? Approximating Fairness in Models Promptly.

Yijun Bian, Yujie Luo

CoRR, 2024

Advancing Graph Neural Networks with HL-HGAT: A Hodge-Laplacian and Attention Mechanism Approach for Heterogeneous Graph-Structured Data.

Jinghan Huang, Qiufeng Chen, Yijun Bian, Pengli Zhu, Nanguang Chen, Moo K. Chung, Anqi Qiu

CoRR, 2024

2023

Increasing Fairness in Compromise on Accuracy via Weighted Vote with Learning Guarantees.

Yijun Bian, Kun Zhang

CoRR, 2023

Vulnerability of CNNs against Multi-Patch Attacks.

Abhijith Sharma, Yijun Bian, Vatsal Nanda, Phil Munz, Apurva Narayan

Proceedings of the Sat-CPS@CODASPY 2023: Proceedings of the 2023 ACM Workshop on Secure and Trustworthy Cyber-Physical Systems, 2023

2022

Subarchitecture Ensemble Pruning in Neural Architecture Search.

Yijun Bian, Qingquan Song, Mengnan Du, Jun Yao, Huanhuan Chen, Xia Hu

IEEE Trans. Neural Networks Learn. Syst., 2022

When Does Diversity Help Generalization in Classification Ensembles?

Yijun Bian, Huanhuan Chen

IEEE Trans. Cybern., 2022

Adversarial Patch Attacks and Defences in Vision-Based Tasks: A Survey.

Abhijith Sharma, Yijun Bian, Phil Munz, Apurva Narayan

CoRR, 2022

2020

Ensemble Pruning Based on Objection Maximization With a General Distributed Framework.

Yijun Bian, Yijun Wang, Yaqiang Yao, Huanhuan Chen

IEEE Trans. Neural Networks Learn. Syst., 2020

2019

When does Diversity Help Generalization in Classification Ensembles?

Yijun Bian, Huanhuan Chen

CoRR, 2019

Sub-Architecture Ensemble Pruning in Neural Architecture Search.

Yijun Bian, Qingquan Song, Mengnan Du, Jun Yao, Huanhuan Chen, Xia Hu

CoRR, 2019