Tiexin Qin

According to our database, Tiexin Qin authored at least 16 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Generalizable Dynamic Representation Learning for Source Identification in Sequential Data.

Bo Ding, Tiexin Qin, Renjie Wan, Haoliang Li

IEEE Trans. Knowl. Data Eng., May, 2026

Learning Dynamic Graph Embeddings With Neural Controlled Differential Equations.

Tiexin Qin, Benjamin Walker, Terry J. Lyons, Hong Yan, Haoliang Li

IEEE Trans. Pattern Anal. Mach. Intell., February, 2026

2025

Generalizing to New Dynamical Systems via Frequency Domain Adaptation.

Tiexin Qin, Hong Yan, Haoliang Li

IEEE Trans. Pattern Anal. Mach. Intell., October, 2025

Enhancing Zero-Shot Image Recognition in Vision-Language Models through Human-like Concept Guidance.

Hui Liu, Wenya Wang, Kecheng Chen, Jie Liu, Yibing Liu, Tiexin Qin, Peisong He, Xinghao Jiang, Haoliang Li

CoRR, March, 2025

Permutation Equivariant Neural Controlled Differential Equations for Dynamic Graph Representation Learning.

Torben Berndt, Benjamin Walker, Tiexin Qin, Jan Stühmer, Andrey Kormilitzin

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Deep Signature: Characterization of Large-Scale Molecular Dynamics.

Tiexin Qin, Mengxu Zhu, Chunyang Li, Terry Lyons, Hong Yan, Haoliang Li

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Test-time Adaptation for Image Compression with Distribution Regularization.

Kecheng Chen, Pingping Zhang, Tiexin Qin, Shiqi Wang, Hong Yan, Haoliang Li

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

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

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024

Learning Robust Shape Regularization for Generalizable Medical Image Segmentation.

Kecheng Chen, Tiexin Qin, Victor Ho-fun Lee, Hong Yan, Haoliang Li

IEEE Trans. Medical Imaging, July, 2024

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

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Evolving Domain Generalization via Latent Structure-Aware Sequential Autoencoder.

Tiexin Qin, Shiqi Wang, Haoliang Li

IEEE Trans. Pattern Anal. Mach. Intell., December, 2023

LibFewShot: A Comprehensive Library for Few-Shot Learning.

Wenbin Li, Ziyi Wang, Xuesong Yang, Chuanqi Dong, Pinzhuo Tian, Tiexin Qin, Jing Huo, Yinghuan Shi, Lei Wang, Yang Gao, Jiebo Luo

IEEE Trans. Pattern Anal. Mach. Intell., December, 2023

2022

Generalizing to Evolving Domains with Latent Structure-Aware Sequential Autoencoder.

Tiexin Qin, Shiqi Wang, Haoliang Li

Proceedings of the International Conference on Machine Learning, 2022

2020

Unsupervised Few-shot Learning via Distribution Shift-based Augmentation.

Tiexin Qin, Wenbin Li, Yinghuan Shi, Yang Gao

CoRR, 2020

Automatic Data Augmentation Via Deep Reinforcement Learning for Effective Kidney Tumor Segmentation.

Tiexin Qin, Ziyuan Wang, Kelei He, Yinghuan Shi, Yang Gao, Dinggang Shen

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020