Sen Li

Affiliations:
  • South China University of Technology, Guangzhou, China


According to our database1, Sen Li authored at least 18 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Learning consensus representations in multi-latent spaces for multi-view clustering.
Neurocomputing, 2024

2023
Multiscale echo self-attention memory network for multivariate time series classification.
Neurocomputing, 2023

2022
Adversarial Joint-Learning Recurrent Neural Network for Incomplete Time Series Classification.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Modeling User Behavior with Graph Convolution for Personalized Product Search.
CoRR, 2022

Modeling User Behavior with Graph Convolution for Personalized Product Search.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Query Rewriting in TaoBao Search.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021
Self-Supervised Time Series Clustering With Model-Based Dynamics.
IEEE Trans. Neural Networks Learn. Syst., 2021

Embedding-based Product Retrieval in Taobao Search.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Joint-Label Learning by Dual Augmentation for Time Series Classification.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Learning Representations for Incomplete Time Series Clustering.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
End-to-End Incomplete Time-Series Modeling From Linear Memory of Latent Variables.
IEEE Trans. Cybern., 2020

Long-Short Term Echo State Network for Time Series Prediction.
IEEE Access, 2020

Dynamic Multi-Scale Convolutional Neural Network for Time Series Classification.
IEEE Access, 2020

Adversarial Dynamic Shapelet Networks.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Dynamic Barycenter Averaging Kernel in RBF Networks for Time Series Classification.
IEEE Access, 2019

Learning Representations for Time Series Clustering.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2018
Distillation of Random Projection Filter Bank for Time Series Classification.
Proceedings of the Pattern Recognition and Computer Vision - First Chinese Conference, 2018

End-to-End Time Series Imputation via Residual Short Paths.
Proceedings of The 10th Asian Conference on Machine Learning, 2018


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