Author

Mingjie Li

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#artificial intelligence Preprint Sep 2026

SpikeLite: Lightweight Spiking Neural Networks for Time-Series Forecasting

Spiking neural networks (SNNs) offer an energy-efficient paradigm for time-series forecasting through spike-driven computation. However, recent SNN forecasters often pursue higher accuracy through increasingly complex attention mechanisms, or specialized neuronal dynamics, weakening the lightweight motivation of SNNs....

Bang Hu, Chang-Ze Lv, Ming-Jie Li et al. · 0 citations

Review Open access Aug 2026

A Review of Ship Path Planning for Autonomous Navigation: From Model-Driven Methods to Deep Reinforcement Learning

It is argued that progress will depend less on further algorithmic proliferation than on integrated, verifiable architectures that combine data-driven adaptation with model-based structure, standardized evaluation, and staged real-world assurance.

Weijun Wang, Mingjie Li, Bushuo Wang et al. · Journal of Marine Science an... · 0 citations