Yanwei Yue

According to our database1, Yanwei Yue authored at least 15 papers between 2021 and 2026.

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

2026
Mem-T: Densifying Rewards for Long-Horizon Memory Agents.
CoRR, January, 2026

2025
Memory in the Age of AI Agents.
CoRR, December, 2025

A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment.
CoRR, April, 2025

G-Designer: Architecting Multi-agent Communication Topologies via Graph Neural Networks.
Proceedings of the Forty-second International Conference on Machine Learning, 2025

Cut the Crap: An Economical Communication Pipeline for LLM-based Multi-Agent Systems.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Graph Sparsification via Mixture of Graphs.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Rationalizing and Augmenting Dynamic Graph Neural Networks.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

MasRouter: Learning to Route LLMs for Multi-Agent Systems.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

Fast Track to Winning Tickets: Repowering One-Shot Pruning for Graph Neural Networks.
Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024
G-Designer: Architecting Multi-agent Communication Topologies via Graph Neural Networks.
CoRR, 2024

Cut the Crap: An Economical Communication Pipeline for LLM-based Multi-Agent Systems.
CoRR, 2024

Graph Sparsification via Mixture of Graphs.
CoRR, 2024

Two Heads Are Better Than One: Boosting Graph Sparse Training via Semantic and Topological Awareness.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Graph Lottery Ticket Automated.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

2021
Computational prediction and interpretation of both general and specific types of promoters in Escherichia coli by exploiting a stacked ensemble-learning framework.
Briefings Bioinform., 2021


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