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Yang Shu
Yang Shu
Assistant Professor, East China Normal University
Подтвержден адрес электронной почты в домене mails.tsinghua.edu.cn - Главная страница
Название
Процитировано
Процитировано
Год
Open Domain Generalization with Domain-Augmented Meta-Learning
Y Shu, Z Cao, C Wang, J Wang, M Long
Computer Vision and Pattern Recognition (CVPR), 9624-9633, 2021
1852021
Transferability in Deep Learning: A Survey
J Jiang, Y Shu, J Wang, M Long
arXiv preprint arXiv:2201.05867, 2022
1412022
Transferable curriculum for weakly-supervised domain adaptation
Y Shu, Z Cao, M Long, J Wang
AAAI Conference on Artificial Intelligence (AAAI) 33 (01), 4951-4958, 2019
1232019
CLIPood: Generalizing CLIP to Out-of-Distributions
Y Shu, X Guo, J Wu, X Wang, J Wang, M Long
International Conference on Machine Learning (ICML), 2023
772023
Pathformer: Multi-scale Transformers with Adaptive Pathways for Time Series Forecasting
P Chen, Y Zhang, Y Cheng, Y Shu, Y Wang, Q Wen, B Yang, C Guo
International Conference on Learning Representations (ICLR), 2024
73*2024
Zoo-Tuning: Adaptive Transfer from a Zoo of Models
Y Shu, Z Kou, Z Cao, J Wang, M Long
International Conference on Machine Learning (ICML), 9626-9637, 2021
472021
Hub-Pathway: Transfer Learning from A Hub of Pre-trained Models
Y Shu, Z Cao, Z Zhang, J Wang, M Long
Advances in Neural Information Processing Systems (NeurIPS), 2022
82022
Omni-Training: Bridging Pre-Training and Meta-Training for Few-Shot Learning
Y Shu, Z Cao, J Gao, J Wang, SY Philip, M Long
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023
62023
ROSE: Register Assisted General Time Series Forecasting with Decomposed Frequency Learning
Y Wang, Y Qiu, P Chen, K Zhao, Y Shu, Z Rao, L Pan, B Yang, C Guo
arXiv preprint arXiv:2405.17478, 2024
42024
FoundTS: Comprehensive and Unified Benchmarking of Foundation Models for Time Series Forecasting
Z Li, X Qiu, P Chen, Y Wang, H Cheng, Y Shu, J Hu, C Guo, A Zhou, ...
arXiv preprint arXiv:2410.11802, 2024
22024
Assessing Pre-trained Models for Transfer Learning through Distribution of Spectral Components
T Zhang, Y Shu, X Chen, Y Long, C Guo, B Yang
AAAI Conference on Artificial Intelligence (AAAI), 2025
2025
Towards a General Time Series Anomaly Detector with Adaptive Bottlenecks and Dual Adversarial Decoders
Q Shentu, B Li, K Zhao, Y Shu, Z Rao, L Pan, B Yang, C Guo
International Conference on Learning Representations (ICLR), 2025
2025
Boosting Transferability and Discriminability for Time Series Domain Adaptation
M Liu, X Chen, Y Shu, X Li, W Guan, L Nie
Advances in Neural Information Processing Systems (NeurIPS), 2024
2024
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