| 2025 | CVPR | Q-PART: Quasi-Periodic Adaptive Regression with Test-time Training for Pediatric Left Ventricular Ejection Fraction Regression. | Jie Liu, Tiexin Qin, Hui Liu, Yilei Shi, Lichao Mou, Xiao Xiang Zhu, Shiqi Wang, Haoliang Li |
| 2025 | ICCV | Test-time Adaptation for Foundation Medical Segmentation Model without Parametric Updates. | Kecheng Chen, Xinyu Luo, Tiexin Qin, Jie Liu, Hui Liu, Victor Ho-fun Lee, Hong Yan, Haoliang Li |
| 2025 | ICLR | Test-time Adaptation for Image Compression with Distribution Regularization. | Kecheng Chen, Pingping Zhang, Tiexin Qin, Shiqi Wang, Hong Yan, Haoliang Li |
| 2025 | ICLR | Deep Signature: Characterization of Large-Scale Molecular Dynamics. | Tiexin Qin, Mengxu Zhu, Chunyang Li, Terry Lyons, Hong Yan, Haoliang Li |
| 2024 | ICML | Log Neural Controlled Differential Equations: The Lie Brackets Make A Difference. | Benjamin Walker, Andrew D. McLeod, Tiexin Qin, Yichuan Cheng, Haoliang Li, Terry J. Lyons |
| 2022 | ICML | Generalizing to Evolving Domains with Latent Structure-Aware Sequential Autoencoder. | Tiexin Qin, Shiqi Wang, Haoliang Li |
| 2020 | ICASSP | Automatic Data Augmentation Via Deep Reinforcement Learning for Effective Kidney Tumor Segmentation. | Tiexin Qin, Ziyuan Wang, Kelei He, Yinghuan Shi, Yang Gao, Dinggang Shen |