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2020 – today
- 2024
[j3]Kecheng Chen
, Tiexin Qin, Victor Ho-fun Lee, Hong Yan, Haoliang Li:
Learning Robust Shape Regularization for Generalizable Medical Image Segmentation. IEEE Trans. Medical Imaging 43(7): 2693-2706 (2024)- [c3]Benjamin Walker, Andrew D. McLeod, Tiexin Qin, Yichuan Cheng, Haoliang Li, Terry J. Lyons:
Log Neural Controlled Differential Equations: The Lie Brackets Make A Difference. ICML 2024 - [i6]Benjamin Walker, Andrew D. McLeod, Tiexin Qin, Yichuan Cheng, Haoliang Li, Terry J. Lyons:
Log Neural Controlled Differential Equations: The Lie Brackets Make a Difference. CoRR abs/2402.18512 (2024) - 2023
- [j2]Tiexin Qin, Shiqi Wang, Haoliang Li:
Evolving Domain Generalization via Latent Structure-Aware Sequential Autoencoder. IEEE Trans. Pattern Anal. Mach. Intell. 45(12): 14514-14527 (2023) - [j1]Wenbin Li, Ziyi Wang, Xuesong Yang, Chuanqi Dong, Pinzhuo Tian, Tiexin Qin, Jing Huo, Yinghuan Shi, Lei Wang, Yang Gao, Jiebo Luo:
LibFewShot: A Comprehensive Library for Few-Shot Learning. IEEE Trans. Pattern Anal. Mach. Intell. 45(12): 14938-14955 (2023) - [i5]Tiexin Qin, Benjamin Walker, Terry J. Lyons, Hong Yan, Haoliang Li:
Learning Dynamic Graph Embeddings with Neural Controlled Differential Equations. CoRR abs/2302.11354 (2023) - 2022
- [c2]Tiexin Qin, Shiqi Wang, Haoliang Li:
Generalizing to Evolving Domains with Latent Structure-Aware Sequential Autoencoder. ICML 2022: 18062-18082 - [i4]Tiexin Qin, Shiqi Wang, Haoliang Li:
Generalizing to Evolving Domains with Latent Structure-Aware Sequential Autoencoder. CoRR abs/2205.07649 (2022) - 2021
- [i3]Wenbin Li, Chuanqi Dong, Pinzhuo Tian, Tiexin Qin, Xuesong Yang, Ziyi Wang, Jing Huo, Yinghuan Shi, Lei Wang, Yang Gao, Jiebo Luo:
LibFewShot: A Comprehensive Library for Few-shot Learning. CoRR abs/2109.04898 (2021) - 2020
- [c1]Tiexin Qin, Ziyuan Wang, Kelei He, Yinghuan Shi, Yang Gao, Dinggang Shen:
Automatic Data Augmentation Via Deep Reinforcement Learning for Effective Kidney Tumor Segmentation. ICASSP 2020: 1419-1423 - [i2]Tiexin Qin, Ziyuan Wang, Kelei He, Yinghuan Shi, Yang Gao, Dinggang Shen:
Automatic Data Augmentation via Deep Reinforcement Learning for Effective Kidney Tumor Segmentation. CoRR abs/2002.09703 (2020) - [i1]Tiexin Qin, Wenbin Li, Yinghuan Shi, Yang Gao:
Unsupervised Few-shot Learning via Distribution Shift-based Augmentation. CoRR abs/2004.05805 (2020)
Coauthor Index
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