Xueying Guo

Artificial Intelligence · 2019–2021

A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 23 citations into it

Whom Xueying Guo trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Sébastien Bubeck
2. Nicolò Cesa-Bianchi
3. Peter Auer

Papers from Xueying Guo's perspective

Ordered by how strongly the researchers Xueying Guo trusts endorse each paper. Same corpus, a different order for every researcher.

1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
2. Graph Attention Networks (International Conference on Learning Representations)
3. Neural Message Passing for Quantum Chemistry (International Conference on Machine Learning)
4. Geometric Deep Learning: Going beyond Euclidean data
5. Finite-time Analysis of the Multiarmed Bandit Problem
6. Relational inductive biases, deep learning, and graph networks
7. Inductive Representation Learning on Large Graphs (Neural Information Processing Systems)
8. Regret Analysis of Stochastic and Nonstochastic Multi-armed Bandit Problems
9. Variational Graph Auto-Encoders
10. Deep Sets

Their papers

• ETA Prediction with Graph Neural Networks in Google Maps (2021) — 295 citations
• Adaptive Learning-Based Task Offloading for Vehicular Edge Computing Systems (2019) — 325 citations