Cheng Wu

Depth Control of Model-Free AUVs via Reinforcement Learning

2017 · arXiv (Cornell University)

In this paper, we consider depth control problems of an autonomous underwater vehicle (AUV) for tracking the desired depth trajectories. Due to the unknown dynamical model of the AUV, the problems cannot be solved by …

HybridGNN: Learning Hybrid Representation for Recommendation in Multiplex Heterogeneous Networks

2022 · 2022 IEEE 38th International Conference on Data Engineering (ICDE)

Recently, graph neural networks have shown the superiority of modeling the complex topological structures in heterogeneous network-based recommender systems. Due to the diverse interactions among nodes and abundant semantics emerging from diverse types of nodes …