Liu, Shizhan

5 publications

ICLR 2025 Rodimus*: Breaking the Accuracy-Efficiency Trade-Off with Efficient Attentions Zhihao He, Hang Yu, Zi Gong, Shizhan Liu, Jianguo Li, Weiyao Lin

ECCV 2024 BaSIC: BayesNet Structure Learning for Computational Scalable Neural Image Compression Yufeng Zhang, Hang Yu, Shizhan Liu, Wenrui Dai, Weiyao Lin

AAAI 2024 Density Matters: Improved Core-Set for Active Domain Adaptive Segmentation Shizhan Liu, Zhengkai Jiang, Yuxi Li, Jinlong Peng, Yabiao Wang, Weiyao Lin

NeurIPS 2023 BasisFormer: Attention-Based Time Series Forecasting with Learnable and Interpretable Basis Zelin Ni, Hang Yu, Shizhan Liu, Jianguo Li, Weiyao Lin

ICLR 2022 Pyraformer: Low-Complexity Pyramidal Attention for Long-Range Time Series Modeling and Forecasting Shizhan Liu, Hang Yu, Cong Liao, Jianguo Li, Weiyao Lin, Alex X. Liu, Schahram Dustdar