Selected Publications

†: Equal contribution

Conference Papers

Chai, Junyi, Taeuk Jang, Jing Gao, and Xiaoqian Wang. “On the Alignment between Fairness and Accuracy: from the Perspective of Adversarial Robustness.” International Conference on Machine Learning (ICML), 2025, acceptance rate: 26.9% (3,260/12,107).

Chai, Junyi, Shenyu Lu, and Xiaoqian Wang. “Identifying and Mitigating Spurious Correlation in Multi-Task Learning.” IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR), 2025, acceptance rate: 22.1% (2878/13,008).

Chai, Junyi, and Xiaoqian Wang. “Fairness with adaptive weights.” International Conference on Machine Learning (ICML), 2022, acceptance rate: 21.9% (1235/5630).

Chai, Junyi, and Xiaoqian Wang. “Self-supervised fair representation learning without demographics.” Advances in Neural Information Processing Systems (NeurIPS), 2022, acceptance rate: 25.7% (2672/10411).

Chai, Junyi, Taeuk Jang, and Xiaoqian Wang. “Fairness without demographics through knowledge distillation.” Advances in Neural Information Processing Systems (NeurIPS), 2022, acceptance rate: 25.7% (2672/10411).

Journal Papers

Li, Linlin, Xu Wang, Junyi Chai, Xiaoqian Wang, Adrian Buganza-Tepole, and David M. Umulis. “Determining the role of advection in patterning by bone morphogenetic proteins through neural network model-based acceleration of a 3D finite element model of the zebrafish embryo.” Frontiers in Systems Biology, 2022.

Ma, Fengji†, Junyi Chai†, and Hai Wang. ``Two-dimensional compact variational mode decomposition-based low-light image enhancement.” IEEE Access 7 (2019): 136299-136309.