Xiaopeng Li

Atom-Orbital Qubits under Holonomic Quantum Control

2021 · arXiv (Cornell University)

Quantum computing has been attracting tremendous efforts in recent years. One prominent application is to perform quantum simulations of electron correlations in large molecules and solid-state materials, where orbital degrees of freedom are crucial to …

G2Auth

2022

Because of its cost effectiveness and timeliness, package delivery using unmanned aerial vehicles (UAVs), called drone delivery, is drawing growing attention. Authentication is critical for ensuring that a package is not picked up by an …

Multi-axis Gating MLP with Bidirectional Feature Extraction for Sequence Recommendation

2022 · 2022 IEEE Intl Conf on Dependable, Autonomic and Secure Computing, Intl Conf on Pervasive Intelligence and Computing, Intl Conf on Cloud and Big Data Computing, Intl Conf on Cyber Science and Technology Congress (DASC/PiCom/CBDCom/CyberSciTech)

The sequence recommendation task uses neural network models such as GRU and Self-Attention to extract potential preference characteristics from the user’s behavior data, This makes the recommendation more accurate. However, they use the sequence information …

SampleLLM: Optimizing Tabular Data Synthesis in Recommendations

2025

Tabular data synthesis is crucial in machine learning, yet existing general methods-primarily based on statistical or deep learning models-are highly data-dependent and often fall short in recommender systems. This limitation arises from their difficulty in …

Collaborative Variational Autoencoder for Recommender Systems

2017

Modern recommender systems usually employ collaborative filtering with rating information to recommend items to users due to its successful performance. However, because of the drawbacks of collaborative-based methods such as sparsity, cold start, etc., more …