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cs.LG2026
Spiking Layer-Adaptive Magnitude-based Pruning
Junqiao Wang, Zhehang Ye, Yuqi Ouyang
Spiking Neural Networks (SNNs) provide energy-efficient computation but their deployment is constrained by dense connectivity and high spiking operation costs. Existing magnitude-b…
cs.ET2026
Physics-Informed Deep Recurrent Back-Projection Network for Tunnel Propagation Modeling
Kunyu Wu, Qiushi Zhao, Jingyi Zhou +4
Accurate and efficient modeling of radio wave propagation in railway tunnels is is critical for ensuring reliable communication-based train control (CBTC) systems. Fine-grid parabo…
cs.CL2026
DynaWeb: Model-Based Reinforcement Learning of Web Agents
Hang Ding, Peidong Liu, Junqiao Wang +7
The development of autonomous web agents, powered by Large Language Models (LLMs) and reinforcement learning (RL), represents a significant step towards general-purpose AI assistan…