Xu Zhou

A Robust Mechanism for Robot Team Formation

2017

With the development of AI, the job of robots became more complex and diversified, due to the limited capacity of a single robot, multiple robots cooperation is used to accomplish complex tasks. Based on the …

DG-Trans: Automatic Code Summarization via Dynamic Graph Attention-based Transformer

2021 · 2021 IEEE 21st International Conference on Software Quality, Reliability and Security (QRS)

Automatic code summarization is an important topic in the software engineering field, which aims to automatically generate the description for the source code. Based on Graph Neural Networks (GNN), most existing methods apply them to …

Few-shot reasoning-based safe reinforcement learning framework for autonomous robot navigation

2023 · International Journal of Automation and Control

Unsafe explorations in the training phase hinder the practical deployment of reinforcement learning (RL) on autonomous robots. Some safe RL methods use safety constraints from prior or external knowledge to reduce or avoid unsafe explorations, …

MindSpore Quantum: A User-Friendly, High-Performance, and AI-Compatible Quantum Computing Framework

2024 · arXiv (Cornell University)

We introduce MindSpore Quantum, a pioneering hybrid quantum-classical framework with a primary focus on the design and implementation of noisy intermediate-scale quantum (NISQ) algorithms. Leveraging the robust support of MindSpore, an advanced open-source deep learning …

CSM-TopK: Continuous Subgraph Matching with TopK Density Constraints

2024

Continuous subgraph matching (CSM) is an important problem of graph analysis over dynamic graphs. Given a query graph, existing CSM efforts return numerous matches, which may overwhelm analysts. In addition, they do not consider weighted …