Libfewshot: A comprehensive library for few-shot learning W Li, Z Wang, X Yang, C Dong, P Tian, T Qin, J Huo, Y Shi, L Wang, ... IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023 | 43 | 2023 |
Diversity helps: Unsupervised few-shot learning via distribution shift-based data augmentation T Qin, W Li, Y Shi, Y Gao arXiv preprint arXiv:2004.05805, 2020 | 35 | 2020 |
Automatic data augmentation via deep reinforcement learning for effective kidney tumor segmentation T Qin, Z Wang, K He, Y Shi, Y Gao, D Shen ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 29 | 2020 |
Machine learning on properties of multiscale multisource hydroxyapatite nanoparticles datasets with different morphologies and sizes Z Liu, Y Shi, H Chen, T Qin, X Zhou, J Huo, H Dong, X Yang, X Zhu, ... npj Computational Materials 7 (1), 142, 2021 | 25 | 2021 |
Generalizing to Evolving Domains with Latent Structure-Aware Sequential Autoencoder T Qin, S Wang, H Li International Conference on Machine Learning, 2022 | 15 | 2022 |
Automatic data augmentation by learning the deterministic policy Y Shi, T Qin, Y Liu, J Lu, Y Gao, D Shen arXiv preprint arXiv:1910.08343, 2019 | 6 | 2019 |
Learning dynamic graph embeddings with neural controlled differential equations T Qin, B Walker, T Lyons, H Yan, H Li arXiv preprint arXiv:2302.11354, 2023 | 2 | 2023 |
Log Neural Controlled Differential Equations: The Lie Brackets Make a Difference B Walker, AD McLeod, T Qin, Y Cheng, H Li, T Lyons arXiv preprint arXiv:2402.18512, 2024 | 1 | 2024 |
Learning Robust Shape Regularization for Generalizable Medical Image Segmentation K Chen, T Qin, VHF Lee, H Yan, H Li IEEE Transactions on Medical Imaging, 2024 | | 2024 |
Generalizing to New Dynamical Systems via Frequency Domain Adaptation T Qin, H Yan, H Li | | 2023 |
Evolving Domain Generalization via Latent Structure-Aware Sequential Autoencoder T Qin, S Wang, H Li IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023 | | 2023 |