팔로우
Liang Sun
Liang Sun
Alibaba Group
asu.edu의 이메일 확인됨
제목
인용
인용
연도
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
7732022
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
7012020
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
5012022
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
3522010
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
3312010
Hypergraph spectral learning for multi-label classification
L Sun, S Ji, J Ye
Proceedings of the 14th ACM SIGKDD international conference on Knowledge …, 2008
2852008
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
1712019
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
1482020
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
952008
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
Multi-label dimensionality reduction
L Sun, S Ji, J Ye
CRC Press, 2016
922016
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
912009
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
902023
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
842022
Efficient recovery of jointly sparse vectors
L Sun, J Liu, J Chen, J Ye
Advances in Neural Information Processing Systems 22, 2009
812009
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
742020
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
692009
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
642021
Multi-label multiple kernel learning
S Ji, L Sun, R Jin, J Ye
Advances in neural information processing systems 21, 2008
612008
A least squares formulation for a class of generalized eigenvalue problems in machine learning
L Sun, S Ji, J Ye
Proceedings of the 26th Annual International Conference on Machine Learning …, 2009
562009
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