3 papers
cs.LG2026
Learning universal approximations for partial differential equations with Physics-Informed Broad Learning System
Zhiwen Yu, Derong Yang, Liujian Zhang +5
Partial differential equations (PDEs) play a central role in modeling complex physical, biological, and engineering systems. While traditional numerical solvers are robust, they of…
cs.LG2026
PathFinder: Advancing Path Loss Prediction for Single-to-Multi-Transmitter Scenario
Zhijie Zhong, Zhiwen Yu, Pengyu Li +3
Radio path loss prediction (RPP) is critical for optimizing 5G networks and enabling IoT, smart city, and similar applications. However, current deep learning-based RPP methods lac…
cs.CV2026
EdgeNeRF: Edge-Guided Regularization for Neural Radiance Fields from Sparse Views
Weiqi Yu, Yiyang Yao, Lin He +1
Neural Radiance Fields (NeRF) achieve remarkable performance in dense multi-view scenarios, but their reconstruction quality degrades significantly under sparse inputs due to geome…