Guangxu Yang

Orcid: 0000-0001-9581-9593

According to our database1, Guangxu Yang authored at least 14 papers between 2020 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2025
A visual SLAM 3D surface reconstruction algorithm combining depth completion.
Signal Image Video Process., November, 2025

Quantum versus Classical Separation in Simultaneous Number-on-Forehead Communication.
Electron. Colloquium Comput. Complex., 2025

Deterministic Lifting Theorems for One-Way Number-on-Forehead Communication.
Electron. Colloquium Comput. Complex., 2025

Gadgetless Lifting Beats Round Elimination: Improved Lower Bounds for Pointer Chasing.
Proceedings of the 16th Innovations in Theoretical Computer Science Conference, 2025

A Min-Entropy Approach to Multi-Party Communication Lower Bounds.
Proceedings of the 40th Computational Complexity Conference, 2025

2024
Breaking Square-Root Loss Barriers via Min-Entropy.
Electron. Colloquium Comput. Complex., 2024

Communication Lower Bounds for Collision Problems via Density Increment Arguments.
Proceedings of the 56th Annual ACM Symposium on Theory of Computing, 2024

2023
Communication Complexity of Set-Intersection Problems and Its Applications.
Electron. Colloquium Comput. Complex., 2023

Lifting Theorems Meet Information Complexity: Known and New Lower Bounds of Set-disjointness.
CoRR, 2023

Communication Lower Bounds of Key-Agreement Protocols via Density Increment Arguments.
Proceedings of the Theory of Cryptography - 21st International Conference, 2023

2022
Simulation Methods in Communication Lower Bounds, Revisited.
Electron. Colloquium Comput. Complex., 2022

2021
PASTO: Strategic Parameter Optimization in Recommendation Systems - Probabilistic is Better than Deterministic.
CoRR, 2021

2020
Routing optimization for cloud services in SDN-based Internet of Things with TCAM capacity constraint.
J. Commun. Networks, 2020

Kraken: memory-efficient continual learning for large-scale real-time recommendations.
Proceedings of the International Conference for High Performance Computing, 2020


  Loading...