Shengsheng Lin

According to our database, Shengsheng Lin authored at least 14 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

NoSPF: Non-Stationary Long-Term Power Consumption Forecasting for Servers in Cloud Data Centers.

Ruichao Mo, Weiwei Lin, Shengsheng Lin, Simon Fong, Keqin Li

IEEE Trans. Computers, January, 2026

SparseTSF: Lightweight and Robust Time Series Forecasting via Sparse Modeling.

Shengsheng Lin, Weiwei Lin, Wentai Wu, Haojun Chen, C. L. Philip Chen

IEEE Trans. Pattern Anal. Mach. Intell., January, 2026

SegRNN: Segment Recurrent Neural Network for Long-Term Time-Series Forecasting.

Shengsheng Lin, Weiwei Lin, Wentai Wu, Feiyu Zhao, Ruichao Mo, Haotong Zhang

IEEE Internet Things J., 2026

Wave-CompNet: A hybrid wavelet network with an asymmetric architecture for long-term multivariate time series forecasting.

Jiapeng Fu, Bo Liu, Shengsheng Lin, Shaomin Tang, Weiwei Lin, Li Zhang

Appl. Soft Comput., 2026

2025

PETformer: Long-Term Time Series Forecasting via Placeholder-Enhanced Transformer.

Shengsheng Lin, Weiwei Lin, Wentai Wu, Songbo Wang, Yongxiang Wang

IEEE Trans. Emerg. Top. Comput. Intell., April, 2025

Benchmarking and revisiting time series forecasting methods in cloud workload prediction.

Shengsheng Lin, Weiwei Lin, Feiyu Zhao, Haojun Chen

Clust. Comput., February, 2025

TFEGRU: Time-Frequency Enhanced Gated Recurrent Unit With Attention for Cloud Workload Prediction.

Feiyu Zhao, Wei-Wei Lin, Shengsheng Lin, Haocheng Zhong, Keqin Li

IEEE Trans. Serv. Comput., 2025

MSCNet: Multi-Scale Network With Convolutions for Long-Term Cloud Workload Prediction.

Feiyu Zhao, Weiwei Lin, Shengsheng Lin, Shaomin Tang, Keqin Li

IEEE Trans. Serv. Comput., 2025

Temporal Query Network for Efficient Multivariate Time Series Forecasting.

Shengsheng Lin, Haojun Chen, Haijie Wu, Chunyun Qiu, Weiwei Lin

Proceedings of the Forty-second International Conference on Machine Learning, 2025

2024

Cocv: A compression algorithm for time-series data with continuous constant values in IoT-based monitoring systems.

Shengsheng Lin, Weiwei Lin, Keyi Wu, Songbo Wang, Minxian Xu, James Z. Wang

Internet Things, April, 2024

Co-Dominant Piezoelectric and Flexoelectric Effects in Twisted Double Bilayer Graphene.

Yuanhao Wei, Yuhao Li, Hanhao Zhang, Shengsheng Lin, Takashi Taniguchi, Kenji Watanabe, Cun-Fa Gao, Yan Shi

Symmetry, 2024

CycleNet: Enhancing Time Series Forecasting through Modeling Periodic Patterns.

Shengsheng Lin, Weiwei Lin, Xinyi Hu, Wentai Wu, Ruichao Mo, Haocheng Zhong

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

SparseTSF: Modeling Long-term Time Series Forecasting with *1k* Parameters.

Shengsheng Lin, Weiwei Lin, Wentai Wu, Haojun Chen, Junjie Yang

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Object tracking in surveillance video based on Siamese network considering geographical spatiotemporal constraints.

Guannan Li, Shengsheng Lin, Xiu Lu, Liangchen Zhou, Bingxian Lin, Guonian Lv

Trans. GIS, April, 2023