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Ju Ren β most-cited papers & profile Β· AI Agents
β authors
Β·
overview
Ju Ren
23
papers Β·
17
citations
Google Scholar β
Semantic Scholar β
OpenAlex β
Most-cited papers
Efficient Federated Meta-Learning over Multi-Access Wireless Networks
2021 Β· 7 citations
CLARE: Conservative Model-Based Reward Learning for Offline Inverse Reinforcement Learning
2023 Β· 6 citations
Momentum-Based Federated Reinforcement Learning with Interaction and Communication Efficiency
2024 Β· 3 citations
Learning from Limited Heterogeneous Training Data: Meta-Learning for Unsupervised Zero-Day Web Attack Detection across Web Domains
2023 Β· 1 citations
AdamO: A Collapse-Suppressed Optimizer for Offline RL
2026
Learning to Explore: Scaling Agentic Reasoning via Exploration-Aware Policy Optimization
2026
Less is More: Clustered Cross-Covariance Control for Offline RL
2026
FOVA: Offline Federated Reinforcement Learning with Mixed-Quality Data
2025
FOVA: Offline Federated Reinforcement Learning with Mixed-Quality Data
2025
Long Exposure: Accelerating Parameter-Efficient Fine-Tuning for LLMs under Shadowy Sparsity
2025
Gains: Fine-grained Federated Domain Adaptation in Open Set
2025
LLM-Driven Self-Refinement for Embodied Drone Task Planning
2025
CSVAR: Enhancing Visual Privacy in Federated Learning via Adaptive Shuffling Against Overfitting
2025
AugFL: Augmenting Federated Learning with Pretrained Models
2025
Inexact-ADMM Based Federated Meta-Learning for Fast and Continual Edge Learning
2020
Topics
Federated Learning
cs.LG
cs.AI
Privacy
Optimization
Offline RL
Policy Gradient
Multi-Agent
Fine-Tuning
Efficiency