Yucong Dai

According to our database, Yucong Dai authored at least 13 papers between 2021 and 2025.

Collaborative distances:

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

2025

Causally Fair Node Classification on Non-IID Graph Data.

Yucong Dai, Lu Zhang, Yaowei Hu, Susan Gauch, Yongkai Wu

CoRR, May, 2025

Adaptive Learning in Imbalanced Data Streams With Unpredictable Feature Evolution.

Jiahang Tu, Xijia Tang, Shilin Gu, Yucong Dai, Ruidong Fan, Chenping Hou

IEEE Trans. Knowl. Data Eng., April, 2025

FairSAM: Fair Classification on Corrupted Data Through Sharpness-Aware Minimization.

Yucong Dai, Jie Ji, Xiaolong Ma, Yongkai Wu

CoRR, March, 2025

Towards counterfactual fairness through auxiliary variables.

Bowei Tian, Ziyao Wang, Shwai He, Wanghao Ye, Guoheng Sun, Yucong Dai, Yongkai Wu, Ang Li

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Label Shift Meets Online Learning: Ensuring Consistent Adaptation with Universal Dynamic Regret.

Yucong Dai, Shilin Gu, Ruidong Fan, Chao Xu, Chenping Hou

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024

Towards counterfactual fairness thorough auxiliary variables.

Bowei Tian, Ziyao Wang, Shwai He, Wanghao Ye, Guoheng Sun, Yucong Dai, Yongkai Wu, Ang Li

CoRR, 2024

Fair Diagnosis: Leveraging Causal Modeling to Mitigate Medical Bias.

Bowei Tian, Yexiao He, Meng Liu, Yucong Dai, Ziyao Wang, Shwai He, Guoheng Sun, Zheyu Shen, Wanghao Ye, Yongkai Wu, Ang Li

CoRR, 2024

SHED: Shapley-Based Automated Dataset Refinement for Instruction Fine-Tuning.

Yexiao He, Ziyao Wang, Zheyu Shen, Guoheng Sun, Yucong Dai, Yongkai Wu, Hongyi Wang, Ang Li

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Fair Weak-Supervised Learning: A Multiple-Instance Learning Approach.

Yucong Dai, Xiangyu Jiang, Yaowei Hu, Lu Zhang, Yongkai Wu

Proceedings of the International Joint Conference on Neural Networks, 2024

2023

Threshold Dynamics and Probability Density Function of a Stochastic Avian Influenza Epidemic Model with Nonlinear Incidence Rate and Psychological Effect.

Baoquan Zhou, Daqing Jiang, Yucong Dai, Tasawar Hayat

J. Nonlinear Sci., April, 2023

Coupling Fairness and Pruning in a Single Run: a Bi-level Optimization Perspective.

Yucong Dai, Gen Li, Feng Luo, Xiaolong Ma, Yongkai Wu

CoRR, 2023

Fair Selection through Kernel Density Estimation.

Xiangyu Jiang, Yucong Dai, Yongkai Wu

Proceedings of the International Joint Conference on Neural Networks, 2023

2021

Stereo Superpixel Segmentation Via Dual-Attention Fusion Networks.

Ruiqi Wu, Yajuan Du, Hua Li, Yucong Dai

Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021