Wei Yuan

most citedPoisoning Attacks and Defenses in Recommender Systems: A Survey

5 citations · 5 across the 3 of their papers we have counts for

collaborators

3 papers

cs.AI2025

$A g e n t^{2}$ : An Agent-Generates-Agent Framework for Reinforcement Learning Automation

Yuan Wei, Xiaohan Shan, Ran Miao +1

Reinforcement learning (RL) agent development traditionally requires substantial expertise and iterative effort, often leading to high failure rates and limited accessibility. This…

cs.LG2025

LERO: LLM-driven Evolutionary framework with Hybrid Rewards and Enhanced Observation for Multi-Agent Reinforcement Learning

Yuan Wei, Xiaohan Shan, Jianmin Li

Multi-agent reinforcement learning (MARL) faces two critical bottlenecks distinct from single-agent RL: credit assignment in cooperative tasks and partial observability of environm…

cs.CR2024★ 5 cited

Poisoning Attacks and Defenses in Recommender Systems: A Survey

Zongwei Wang, Junliang Yu, Min Gao +4

Modern recommender systems (RS) have profoundly enhanced user experience across digital platforms, yet they face significant threats from poisoning attacks. These attacks, aimed at…

Agent2: An Agent-Generates-Agent Framework for Reinforcement Learning Automation

LERO: LLM-driven Evolutionary framework with Hybrid Rewards and Enhanced Observation for Multi-Agent Reinforcement Learning

Poisoning Attacks and Defenses in Recommender Systems: A Survey

$A g e n t^{2}$ : An Agent-Generates-Agent Framework for Reinforcement Learning Automation