1 citations · 1 across the 2 of their papers we have counts for
3 papers
cs.IR2026
MaRI: Accelerating Ranking Model Inference via Structural Re-parameterization in Large Scale Recommendation System
Yusheng Huang, Pengbo Xu, Shen Wang +7
Ranking models, i.e., coarse-ranking and fine-ranking models, serve as core components in large-scale recommendation systems, responsible for scoring massive item candidates based…
cs.LG2024★ 1 cited
Spatiotemporal Observer Design for Predictive Learning of High-Dimensional Data
Tongyi Liang, Han-Xiong Li
Although deep learning-based methods have shown great success in spatiotemporal predictive learning, the framework of those models is designed mainly by intuition. How to make spat…
cs.LG2024
Efficient State Space Model via Fast Tensor Convolution and Block Diagonalization
Tongyi Liang, Han-Xiong Li
Existing models encounter bottlenecks in balancing performance and computational efficiency when modeling long sequences. Although the state space model (SSM) has achieved remarkab…