SegRNN: Segment Recurrent Neural Network for Long-Term Time Series Forecasting. - Shengsheng Lin; Weiwei Lin 001; Wentai Wu; Feiyu Zhao; Ruichao Mo; Haotong Zhang 003 (CoRR, 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, 2023)

SparseTSF: Modeling Long-term Time Series Forecasting with *1k* Parameters. - Shengsheng Lin; Weiwei Lin 001; Wentai Wu; Haojun Chen; Junjie Yang (ICML, 2024)

CycleNet: Enhancing Time Series Forecasting through Modeling Periodic Patterns. - Shengsheng Lin; Weiwei Lin 001; Xinyi Hu; Wentai Wu; Ruichao Mo; Haocheng Zhong (NeurIPS, 2024)

Cocv: A compression algorithm for time-series data with continuous constant values in IoT-based monitoring systems. - Shengsheng Lin; Weiwei Lin 001; Keyi Wu; Songbo Wang; Minxian Xu; James Z. Wang 002 (Internet Things, 2024)

MSCNet: Multi-Scale Network With Convolutions for Long-Term Cloud Workload Prediction. - Feiyu Zhao; Weiwei Lin 001; Shengsheng Lin; Shaomin Tang; Keqin Li 001 (IEEE Trans. Serv. Comput., 2025)

TFEGRU: Time-Frequency Enhanced Gated Recurrent Unit With Attention for Cloud Workload Prediction. - Feiyu Zhao; Wei-Wei Lin 001; Shengsheng Lin; Haocheng Zhong; Keqin Li 001 (IEEE Trans. Serv. Comput., 2025)

Benchmarking and revisiting time series forecasting methods in cloud workload prediction. - Shengsheng Lin; Weiwei Lin 001; Feiyu Zhao; Haojun Chen (Clust. Comput., 2025)

PETformer: Long-Term Time Series Forecasting via Placeholder-Enhanced Transformer. - Shengsheng Lin; Weiwei Lin 001; Wentai Wu; Songbo Wang; Yongxiang Wang (IEEE Trans. Emerg. Top. Comput. Intell., 2025)

Temporal Query Network for Efficient Multivariate Time Series Forecasting. - Shengsheng Lin; Haojun Chen; Haijie Wu; Chunyun Qiu; Weiwei Lin (CoRR, 2025)