Xin He

Simple Physical Adversarial Examples against End-to-End Autonomous Driving Models

2019 · arXiv (Cornell University)

Recent advances in machine learning, especially techniques such as deep neural networks, are promoting a range of high-stakes applications, including autonomous driving, which often relies on deep learning for perception. While deep learning for perception …

A Deep Learning Model Based on Sparse Matrix for Point-of-Interest Recommendation

2019 · Proceedings/Proceedings of the ... International Conference on Software Engineering and Knowledge Engineering

Point-of-interest (POI) recommendation that consists of location-based social networks (LBSNs) and provides personal services for users has become an important part in the field of recommendation system. Due to the sparseness of user check-in matrix, …

Old Wine in A New Bottle: A Homogeneous Fraud Sites Discovery Framework

2021 · 2021 7th International Conference on Computer and Communications (ICCC)

Internet fraud is a serious threat to the normal order of the Internet, endangering the personal and property safety of its users. Nowadays in China, the most rampant forms of Internet fraud include false winning, …

Enhanced Graph-Based Model with Mathematical Knowledge Embedding for Math Word Problem Solving

2024

Math Word Problems (MWPs) represent a critical area of research in natural language processing and artificial intelligence, with the goal of translating natural language descriptions into mathematical expressions and deriving solutions. Despite recent progress with …

A Hybrid Quantum–Classical Neural Network Framework for the Detection of Quantum Hacking Attacks in CVQKD

2026 · Applied Sciences

The security of continuous-variable quantum key distribution (CVQKD) systems faces severe challenges from quantum hacking attacks in practical deployments. This paper proposes a novel hybrid quantum-classical neural network (HQCNN) architecture for the detection of quantum …