Automatic Data Augmentation Via Deep Reinforcement Learning for Effective Kidney Tumor Segmentation. - Tiexin Qin; Ziyuan Wang; Kelei He; Yinghuan Shi; Yang Gao 001; Dinggang Shen (ICASSP, 2020)

Unsupervised Few-shot Learning via Distribution Shift-based Augmentation. - Tiexin Qin; Wenbin Li 006; Yinghuan Shi; Yang Gao 001 (CoRR, 2020)

Generalizing to Evolving Domains with Latent Structure-Aware Sequential Autoencoder. - Tiexin Qin; Shiqi Wang 001; Haoliang Li (ICML, 2022)

Learning Dynamic Graph Embeddings with Neural Controlled Differential Equations. - Tiexin Qin; Benjamin Walker 001; Terry J. Lyons; Hong Yan 001; Haoliang Li (CoRR, 2023)

LibFewShot: A Comprehensive Library for Few-Shot Learning. - Wenbin Li 006; Ziyi Wang; Xuesong Yang; Chuanqi Dong; Pinzhuo Tian; Tiexin Qin; Jing Huo; Yinghuan Shi; Lei Wang 001; Yang Gao 001; Jiebo Luo 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Evolving Domain Generalization via Latent Structure-Aware Sequential Autoencoder. - Tiexin Qin; Shiqi Wang 001; Haoliang Li (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Log Neural Controlled Differential Equations: The Lie Brackets Make A Difference. - Benjamin Walker 001; Andrew D. McLeod; Tiexin Qin; Yichuan Cheng; Haoliang Li; Terry J. Lyons (ICML, 2024)

Learning Robust Shape Regularization for Generalizable Medical Image Segmentation. - Kecheng Chen; Tiexin Qin; Victor Ho-fun Lee; Hong Yan 001; Haoliang Li (IEEE Trans. Medical Imaging, 2024)

Q-PART: Quasi-Periodic Adaptive Regression with Test-time Training for Pediatric Left Ventricular Ejection Fraction Regression. - Jie Liu 044; Tiexin Qin; Hui Liu 036; Yilei Shi; Lichao Mou; Xiao Xiang Zhu 001; Shiqi Wang 001; Haoliang Li (CVPR, 2025)

Test-time Adaptation for Image Compression with Distribution Regularization. - Kecheng Chen; Pingping Zhang; Tiexin Qin; Shiqi Wang 001; Hong Yan 001; Haoliang Li (ICLR, 2025)

Deep Signature: Characterization of Large-Scale Molecular Dynamics. - Tiexin Qin; Mengxu Zhu; Chunyang Li; Terry Lyons; Hong Yan 001; Haoliang Li (ICLR, 2025)

Enhancing Zero-Shot Image Recognition in Vision-Language Models through Human-like Concept Guidance. - Hui Liu 036; Wenya Wang 001; Kecheng Chen; Jie Liu 044; Yibing Liu; Tiexin Qin; Peisong He; Xinghao Jiang; Haoliang Li (CoRR, 2025)

Test-time Adaptation for Foundation Medical Segmentation Model without Parametric Updates. - Kecheng Chen; Xinyu Luo; Tiexin Qin; Jie Liu 044; Hui Liu 036; Victor Ho-fun Lee; Hong Yan 001; Haoliang Li (CoRR, 2025)

Permutation Equivariant Neural Controlled Differential Equations for Dynamic Graph Representation Learning. - Torben Berndt; Benjamin Walker 001; Tiexin Qin; Jan Stühmer; Andrey Kormilitzin (CoRR, 2025)

Generalizing to New Dynamical Systems via Frequency Domain Adaptation. - Tiexin Qin; Hong Yan 001; Haoliang Li (CoRR, 2025)