activity
20232026
most citedGeometry of Polynomial Neural Networks

3 citations · 4 across the 10 of their papers we have counts for

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Showing 2025Show all

6 papers · 1 filter

cs.LG2025

Breaking the Memory Wall: Exact Analytical Differentiation via Tiled Operator-Space Evolution

Shuhuan Wang, Yuzhen Xie, Jiayi Li +1

Selective State Space Models (SSMs) achieve linear-time inference, yet their gradient-based sensitivity analysis remains bottlenecked by O(L) memory scaling during backpropagation.…

cs.RO2025

Policy: Mutable Material Manipulation Augmentation Policy through Photometric Re-rendering

Jiayi Li, Yuxuan Hu, Haoran Geng +4

Material generalization is essential for real-world robotic manipulation, where robots must interact with objects exhibiting diverse visual and physical properties. This challenge…

cs.CV2025

Compact neural networks for astronomy with optimal transport bias correction

Shuhuan Wang, Yuzhen Xie, Jiayi Li

Astronomical imaging confronts an efficiency-resolution tradeoff that limits large-scale morphological classification and redshift prediction. We introduce WaveletMamba, a theory-d…

cs.LG2025

DRIFT-Net: A Spectral--Coupled Neural Operator for PDEs Learning

Jiayi Li, Flora D. Salim

Learning PDE dynamics with neural solvers can significantly improve wall-clock efficiency and accuracy compared with classical numerical solvers. In recent years, foundation models…

cs.LG2025

Federated Multi-Objective Learning with Controlled Pareto Frontiers

Jiansheng Rao, Jiayi Li, Zhizhi Gong +2

Federated learning (FL) is a widely adopted paradigm for privacy-preserving model training, but FedAvg optimise for the majority while under-serving minority clients. Existing meth…

cs.CV2025

DualReg: Dual-Space Filtering and Reinforcement for Rigid Registration

Jiayi Li, Yuxin Yao, Qiuhang Lu +1

Noisy, partially overlapping data and the need for real-time processing pose major challenges for rigid registration. Considering that feature-based matching can handle large trans…