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Liang Sun
Liang Sun
DAMO Academy, Alibaba Group
Dirección de correo verificada de asu.edu
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Citado por
Citado por
Año
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
16222022
Transformers in time series: A survey
Q Wen, T Zhou, C Zhang, W Chen, Z Ma, J Yan, L Sun
arXiv preprint arXiv:2202.07125, 2022
9542022
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
9142020
Learning brain connectivity of Alzheimer's disease by sparse inverse covariance estimation
S Huang, J Li, L Sun, J Ye, A Fleisher, T Wu, K Chen, E Reiman, ...
NeuroImage 50 (3), 935-949, 2010
3682010
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, 43322-43355, 2023
3382023
Canonical correlation analysis for multilabel classification: A least-squares formulation, extensions, and analysis
L Sun, S Ji, J Ye
IEEE Transactions on Pattern Analysis and Machine Intelligence 33 (1), 194-200, 2010
3382010
Hypergraph spectral learning for multi-label classification
L Sun, S Ji, J Ye
Proceedings of the 14th ACM SIGKDD international conference on Knowledge …, 2008
2952008
RobustSTL: A robust seasonal-trend decomposition algorithm for long time series
Q Wen, J Gao, X Song, L Sun, H Xu, S Zhu
Proceedings of the AAAI conference on artificial intelligence 33 (01), 5409-5416, 2019
2372019
Robusttad: Robust time series anomaly detection via decomposition and convolutional neural networks
J Gao, X Song, Q Wen, P Wang, L Sun, H Xu
arXiv preprint arXiv:2002.09545, 2020
1982020
Film: Frequency improved legendre memory model for long-term time series forecasting
T Zhou, Z Ma, Q Wen, L Sun, T Yao, W Yin, R Jin
Advances in neural information processing systems 35, 12677-12690, 2022
1872022
Dcdetector: Dual attention contrastive representation learning for time series anomaly detection
Y Yang, C Zhang, T Zhou, Q Wen, L Sun
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023
1232023
Fast RobustSTL: Efficient and robust seasonal-trend decomposition for time series with complex patterns
Q Wen, Z Zhang, Y Li, L Sun
Proceedings of the 26th ACM SIGKDD international conference on knowledge …, 2020
1082020
A least squares formulation for canonical correlation analysis
L Sun, S Ji, J Ye
Proceedings of the 25th international conference on Machine learning, 1024-1031, 2008
972008
On the equivalence between canonical correlation analysis and orthonormalized partial least squares
L Sun, S Ji, S Yu, J Ye
Twenty-First International Joint Conference on Artificial Intelligence, 2009
942009
Learning brain connectivity of Alzheimer's disease from neuroimaging data
S Huang, J Li, L Sun, J Liu, T Wu, K Chen, A Fleisher, E Reiman, J Ye
Advances in Neural Information Processing Systems 22, 2009
932009
Multi-label dimensionality reduction
L Sun, S Ji, J Ye
CRC Press, 2013
922013
Efficient recovery of jointly sparse vectors
L Sun, J Liu, J Chen, J Ye
Advances in Neural Information Processing Systems 22, 2009
892009
RobustPeriod: Robust time-frequency mining for multiple periodicity detection
Q Wen, K He, L Sun, Y Zhang, M Ke, H Xu
Proceedings of the 2021 international conference on management of data, 2328 …, 2021
882021
TFAD: A decomposition time series anomaly detection architecture with time-frequency analysis
C Zhang, T Zhou, Q Wen, L Sun
Proceedings of the 31st ACM International Conference on Information …, 2022
802022
Mining brain region connectivity for alzheimer's disease study via sparse inverse covariance estimation
L Sun, R Patel, J Liu, K Chen, T Wu, J Li, E Reiman, J Ye
Proceedings of the 15th ACM SIGKDD international conference on Knowledge …, 2009
702009
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