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Jun Yan — most-cited papers & profile · AI for Code
← authors
·
overview
Jun Yan
33
papers ·
29
citations ·
37
h-index
Electric Power Research Institute · Intelligent Systems Research (United States) · Concordia University · Concordia University
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Most-cited papers
Incentivizing Agentic Reasoning in LLM Judges via Tool-Integrated Reinforcement Learning
2025 · 10 citations
FedSSO: A Federated Server-Side Second-Order Optimization Algorithm
2022 · 7 citations
Knowledge-Informed Auto-Penetration Testing Based on Reinforcement Learning with Reward Machine
2024 · 7 citations
Supervised Reinforcement Learning: From Expert Trajectories to Step-wise Reasoning
2025 · 5 citations
When Muon Optimizer Meets Adversarial Training: A Theoretical and Empirical Study
2026
RubricEM: Meta-RL with Rubric-guided Policy Decomposition beyond Verifiable Rewards
2026
Domain-Skewed Federated Learning with Feature Decoupling and Calibration
2026
The RoboSense Challenge: Sense Anything, Navigate Anywhere, Adapt Across Platforms
2026
FedDifRC: Unlocking the Potential of Text-to-Image Diffusion Models in Heterogeneous Federated Learning
2025
DSADF: Thinking Fast And Slow For Decision Making
2025
Supervised Reinforcement Learning: From Expert Trajectories to Step-wise Reasoning
2025
Budget-Aware Tool-Use Enables Effective Agent Scaling
2025
FedSKC: Federated Learning with Non-IID Data via Structural Knowledge Collaboration
2025
In Prospect and Retrospect: Reflective Memory Management for Long-term Personalized Dialogue Agents
2025
A Universal Model Combining Differential Equations and Neural Networks for Ball Trajectory Prediction
2025
Top co-authors
Abdelrahman Abdelhamed
· 1
Adam Kraft
· 1
Aditya Chawla
· 1
Adrian Hutter
· 1
Advait Jain
· 1
Aishwarya Kamath
· 1
Alec Go
· 1
Alek Andreev
· 1
Alexandre Ramé
· 1
Alex Druinsky
· 1
Alexei Bendebury
· 1
Alex Grills
· 1
Topics
cs.LG
Fine-Tuning
cs.CL
Federated Learning
cs.AI
Data Heterogeneity
Reinforcement
Learning
Supervised
Efficiency