Tiexin Qin

According to our database, Tiexin Qin authored at least 8 papers between 2020 and 2024.

Collaborative distances:

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

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

Learning Dynamic Graph Embeddings with Neural Controlled Differential Equations.

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

CoRR, 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