Xue Wang
Xue Wang
DAMO Academy, Alibaba
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Fedformer: Frequency enhanced decomposed transformer for long-term series forecasting
T Zhou, Z Ma, Q Wen, X Wang, L Sun, R Jin
International conference on machine learning, 27268-27286, 2022
Time series data augmentation for deep learning: A survey
Q Wen, L Sun, F Yang, X Song, J Gao, X Wang, H Xu
arXiv preprint arXiv:2002.12478, 2020
KVT: k-NN Attention for Boosting Vision Transformers
P Wang, X Wang, F Wang, M Lin, S Chang, H Li, R Jin
European conference on computer vision, 285-302, 2022
FiLM: Frequency improved Legendre Memory Model for Long-term Time Series Forecasting
T Zhou, Z Ma, X Wang, Q Wen, L Sun, T Yao, W Yin, R Jin
Advances in Neural Information Processing Systems, 2022
One fits all: Power general time series analysis by pretrained lm
T Zhou, P Niu, L Sun, R Jin
Advances in neural information processing systems 36, 2024
Minimax concave penalized multi-armed bandit model with high-dimensional covariates
X Wang, M Wei, T Yao
International Conference on Machine Learning, 5200-5208, 2018
Scaled relu matters for training vision transformers
P Wang, X Wang, H Luo, J Zhou, Z Zhou, F Wang, H Li, R Jin
Proceedings of the AAAI Conference on Artificial Intelligence 36 (3), 2495-2503, 2022
An improved two-stage deep reinforcement learning approach for regulation service disaggregation in a virtual power plant
Z Yi, Y Xu, X Wang, W Gu, H Sun, Q Wu, C Wu
IEEE Transactions on Smart Grid 13 (4), 2844-2858, 2022
Large models for time series and spatio-temporal data: A survey and outlook
M Jin, Q Wen, Y Liang, C Zhang, S Xue, X Wang, J Zhang, Y Wang, ...
arXiv preprint arXiv:2310.10196, 2023
Free lunch for domain adversarial training: Environment label smoothing
YF Zhang, X Wang, J Liang, Z Zhang, L Wang, R Jin, T Tan
arXiv preprint arXiv:2302.00194, 2023
Circulating cholesterol levels may link to the factors influencing Parkinson’s risk
L Zhang, X Wang, M Wang, NW Sterling, G Du, MM Lewis, T Yao, ...
Frontiers in neurology 8, 501, 2017
Adanpc: Exploring non-parametric classifier for test-time adaptation
Y Zhang, X Wang, K Jin, K Yuan, Z Zhang, L Wang, R Jin, T Tan
International Conference on Machine Learning, 41647-41676, 2023
Folded concave penalized learning in identifying multimodal MRI marker for Parkinson’s disease
H Liu, G Du, L Zhang, MM Lewis, X Wang, T Yao, R Li, X Huang
Journal of neuroscience methods 268, 1-6, 2016
Sample average approximation with sparsity-inducing penalty for high-dimensional stochastic programming
H Liu, X Wang, T Yao, R Li, Y Ye
Mathematical programming 178, 69-108, 2019
Onenet: Enhancing time series forecasting models under concept drift by online ensembling
Q Wen, W Chen, L Sun, Z Zhang, L Wang, R Jin, T Tan
Advances in Neural Information Processing Systems 36, 2024
Online learning and decision-making under generalized linear model with high-dimensional data
X Wang, MM Wei, T Yao
arXiv preprint arXiv:1812.02962, 2018
CARD: Channel Aligned Robust Blend Transformer for Time Series Forecasting
W Xue, T Zhou, QS Wen, J Gao, B Ding, R Jin
arXiv preprint arXiv:2305.12095, 2023
Progressive backdoor erasing via connecting backdoor and adversarial attacks
B Mu, Z Niu, L Wang, X Wang, Q Miao, R Jin, G Hua
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
Treedrnet: a robust deep model for long term time series forecasting
T Zhou, J Zhu, X Wang, Z Ma, Q Wen, L Sun, R Jin
arXiv preprint arXiv:2206.12106, 2022
Online assortment optimization with high-dimensional data
X Wang, MM Wei, T Yao
Available at SSRN 3521843, 2019
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