Yijun Bian - RankMe

18 papers Journal 17Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	FairSHAP: Preprocessing for Fairness Through Attribution-Based Data Augmentation. CoRR Lin Zhu, Yijun Bian, Lei You
2025	J	`jnl`	Fairness Research For Machine Learning Should Integrate Societal Considerations. CoRR Yijun Bian, Lei You
2025	J	`jnl`	HL-HGAT: Heterogeneous Graph Attention Network via Hodge-Laplacian Operator. IEEE Trans. Pattern Anal. Mach. Intell. Jinghan Huang, Qiufeng Chen, Pengli Zhu, Yijun Bian, Nanguang Chen, Moo K. Chung, Anqi Qiu
2025	J	`jnl`	Orthogonal Mixed-Effects Modeling for High-Dimensional Longitudinal Data: An Unsupervised Learning Approach. IEEE Trans. Medical Imaging Ming Chen, Yijun Bian, Nanguang Chen, Anqi Qiu
2025	J	`jnl`	Towards Trustworthy Federated Learning. CoRR Alina Basharat, Yijun Bian, Ping Xu, Zhi Tian
2024	J	`jnl`	Advancing Graph Neural Networks with HL-HGAT: A Hodge-Laplacian and Attention Mechanism Approach for Heterogeneous Graph-Structured Data. CoRR Jinghan Huang, Qiufeng Chen, Yijun Bian, Pengli Zhu, Nanguang Chen, Moo K. Chung, Anqi Qiu
2024	J	`jnl`	Approximating Discrimination Within Models When Faced With Several Non-Binary Sensitive Attributes. CoRR Yijun Bian, Yujie Luo, Ping Xu
2024	J	`jnl`	Does Machine Bring in Extra Bias in Learning? Approximating Fairness in Models Promptly. CoRR Yijun Bian, Yujie Luo
2024	J	`jnl`	Refining Counterfactual Explanations With Joint-Distribution-Informed Shapley Towards Actionable Minimality. CoRR Lei You, Yijun Bian, Lele Cao
2023	J	`jnl`	Increasing Fairness in Compromise on Accuracy via Weighted Vote with Learning Guarantees. CoRR Yijun Bian, Kun Zhang
2023	—	`conf`	Vulnerability of CNNs against Multi-Patch Attacks. SAT-CPS@CODASPY Abhijith Sharma, Yijun Bian, Vatsal Nanda, Phil Munz, Apurva Narayan
2022	J	`jnl`	Adversarial Patch Attacks and Defences in Vision-Based Tasks: A Survey. CoRR Abhijith Sharma, Yijun Bian, Phil Munz, Apurva Narayan
2022	J	`jnl`	Subarchitecture Ensemble Pruning in Neural Architecture Search. IEEE Trans. Neural Networks Learn. Syst. Yijun Bian, Qingquan Song, Mengnan Du, Jun Yao, Huanhuan Chen, Xia Hu
2022	J	`jnl`	When Does Diversity Help Generalization in Classification Ensembles? IEEE Trans. Cybern. Yijun Bian, Huanhuan Chen
2020	J	`jnl`	Ensemble Pruning Based on Objection Maximization With a General Distributed Framework. IEEE Trans. Neural Networks Learn. Syst. Yijun Bian, Yijun Wang, Yaqiang Yao, Huanhuan Chen
2019	J	`jnl`	Sub-Architecture Ensemble Pruning in Neural Architecture Search. CoRR Yijun Bian, Qingquan Song, Mengnan Du, Jun Yao, Huanhuan Chen, Xia Hu
2019	J	`jnl`	When does Diversity Help Generalization in Classification Ensembles? CoRR Yijun Bian, Huanhuan Chen
2018	J	`jnl`	Ensemble Pruning based on Objection Maximization with a General Distributed Framework. CoRR Yijun Bian, Yijun Wang, Yaqiang Yao, Huanhuan Chen