| 2025 | KDD | Enhancing Generalization in Large-Scale HCVRP: A Rank-Augmented Neural Solver. | Qidong Liu, Jiurui Lian, Chaoyue Liu, Zhiguang Cao |
| 2024 | ICLR | Quadratic models for understanding catapult dynamics of neural networks. | Libin Zhu, Chaoyue Liu, Adityanarayanan Radhakrishnan, Mikhail Belkin |
| 2024 | ICML | Catapults in SGD: spikes in the training loss and their impact on generalization through feature learning. | Libin Zhu, Chaoyue Liu, Adityanarayanan Radhakrishnan, Mikhail Belkin |
| 2022 | ICLR | Transition to Linearity of Wide Neural Networks is an Emerging Property of Assembling Weak Models. | Chaoyue Liu, Libin Zhu, Mikhail Belkin |
| 2021 | IJCAI | Two-Sided Wasserstein Procrustes Analysis. | Kun Jin, Chaoyue Liu, Cathy Xia |
| 2020 | ICLR | Accelerating SGD with momentum for over-parameterized learning. | Chaoyue Liu, Mikhail Belkin |
| 2020 | MICCAI | TexNet: Texture Loss Based Network for Gastric Antrum Segmentation in Ultrasound. | Guohao Dong, Yaoxian Zou, Jiaming Jiao, Yuxi Liu, Shuo Liu, Tianzhu Liang, Chaoyue Liu, Zhijie Chen, Lei Zhu, Dong Ni, Muqing Lin |
| 2019 | MICCAI | ARS-Net: Adaptively Rectified Supervision Network for Automated 3D Ultrasound Image Segmentation. | Chaoyue Liu, Guohao Dong, Muqing Lin, Yaoxian Zou, Tianzhu Liang, Xujin He, Zhijie Chen, Dong Ni, Yi Xiong, Lei Zhu |
| 2017 | MICCAI | Joint Detection and Diagnosis of Prostate Cancer in Multi-parametric MRI Based on Multimodal Convolutional Neural Networks. | Xin Yang, Zhiwei Wang, Chaoyue Liu, Hung Le Minh, Jingyu Chen, Kwang-Ting (Tim) Cheng, Liang Wang |