Fairness with Adaptive Weights. - Junyi Chai 004; Xiaoqian Wang 001 (ICML, 2022)

Fairness without Demographics through Knowledge Distillation. - Junyi Chai 004; Taeuk Jang; Xiaoqian Wang 001 (NeurIPS, 2022)

Self-Supervised Fair Representation Learning without Demographics. - Junyi Chai 004; Xiaoqian Wang 001 (NeurIPS, 2022)

To be Robust and to be Fair: Aligning Fairness with Robustness. - Junyi Chai 004; Xiaoqian Wang 001 (CoRR, 2023)

Neural Collapse Inspired Debiased Representation Learning for Min-max Fairness. - Shenyu Lu; Junyi Chai 004; Xiaoqian Wang 001 (KDD, 2024)

Identifying and Mitigating Spurious Correlation in Multi-Task Learning. - Junyi Chai 004; Shenyu Lu; Xiaoqian Wang 001 (CVPR, 2025)

Adversarial Latent Feature Augmentation for Fairness. - Hoin Jung; Junyi Chai 004; Xiaoqian Wang 001 (ICLR, 2025)

Mitigating Spurious Correlations in Zero-Shot Multimodal Models. - Shenyu Lu; Junyi Chai 004; Xiaoqian Wang 001 (ICLR, 2025)