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Youbang Sun

Can I trust you more? Model-Agnostic Hierarchical Explanations
2018 · Tsang, Michael, Sun, Youbang, et al. · arXiv (Cornell University) · 13
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On Centralized and Distributed Mirror Descent: Convergence Analysis Using Quadratic Constraints
2022 · Youbang Sun, Mahyar Fazlyab, et al. · IEEE Transactions on Automatic Control · 12
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Provably Fast Convergence of Independent Natural Policy Gradient for Markov Potential Games
2023 · Youbang Sun, Tao Liu, et al. · neural information processing systems · 8
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Distributed Mirror Descent With Integral Feedback: Asymptotic Convergence Analysis of Continuous-Time Dynamics
2020 · Youbang Sun, Shahin Shahrampour · IEEE Control Systems Letters · 8
TTRL: Test-Time Reinforcement Learning
2025 · Yuxin Zuo, Kaiyan Zhang, et al. · neural information processing systems · 7
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On the Stability Analysis of Open Federated Learning Systems
2023 · Youbang Sun, Heshan Fernando, et al. · Proceedings of the ... American Control Conference/Proceedings of the American Control Conference · 6
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A Survey of Reinforcement Learning for Large Reasoning Models
2025 · Zhang, Kaiyan, Zuo, Yuxin, et al. · arXiv (Cornell University) · 3
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Improve Federated Learning Stability for Vehicle Trajectory Prediction
2024 · Youbang Sun, Jianlin Guo, et al. · International Conference on Ubiquitous and Future Networks · 3
Linear Convergence of Independent Natural Policy Gradient in Games With Entropy Regularization
2024 · Youbang Sun, Tao Liu, et al. · IEEE Control Systems Letters · 2
Linear Convergence of Distributed Mirror Descent with Integral Feedback for Strongly Convex Problems
2021 · Youbang Sun, Shahin Shahrampour · IEEE Conference on Decision and Control (CDC) · 2
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OPERA: A Reinforcement Learning--Enhanced Orchestrated Planner-Executor Architecture for Reasoning-Oriented Multi-Hop Retrieval
2026 · Yu Liu, Yanbing Liu, et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 1
FlowRL: Matching Reward Distributions for LLM Reasoning
2025 · Zhu, Xuekai, Cheng, Daixuan, et al. · arXiv (Cornell University) · 1
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Distributed Mirror Descent with Integral Feedback: Asymptotic Convergence Analysis of Continuous-time Dynamics
2021 · Youbang Sun, Shahin Shahrampour · Proceedings of the ... American Control Conference/Proceedings of the American Control Conference · 1
Diffusion Reward Models
2026 · Wang, Xiangyang, He, Bingxiang, et al. · arXiv (Cornell University)
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JustQuant: You Don't Need Smoothing, SVD, or Rotation for 4-Bit Activation Quantization
2026 · Yang, Kaicheng, Yang, Kaisen, et al. · arXiv (Cornell University)
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Safin-1: Safety from Within through Memory-Native State Evolution
2026 · Zhang, Ming, Yang, Kaisen, et al. · arXiv (Cornell University)
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Intern-S2-Mobius: Foundation Model with Decoupled Knowledge and Reasoning
2026 · Chen, Kai, Ding, Jifeng, et al. · arXiv (Cornell University)
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Frontis-MA1: Training an AI4AI Model towards Recursive Self-Improvement in Machine Learning Engineering
2026 · Yang, Junlin, Jiang, Che, et al. · arXiv (Cornell University)
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Post-Trained MoE Can Skip Half Experts via Self-Distillation
2026 · Lv, Xingtai, Sheng, Li, et al. · arXiv (Cornell University)
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How Far Can Unsupervised RLVR Scale LLM Training?
2026 · He, Bingxiang, Zuo, Yuxin, et al. · arXiv (Cornell University)
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Retraction-Free Decentralized Non-Convex Optimization With Orthogonal Constraints
2026 · Youbang Sun, Shixiang Chen, et al. · IEEE Transactions on Automatic Control
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From Draft-Then-Verify to Systems Co-Design: A Survey of Speculative Decoding for Autoregressive Large Language Models
2026 · Kaikai Zhao, Zhaoxiang Liu, et al. · IEEE Access
ADARL: Adaptive Low-Rank Structures for Robust Policy Learning under Uncertainty
2025 · Li, Chenliang, Leng, Junyu, et al. · arXiv (Cornell University)
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Geometry-aware optimization and learning in multi-agent systems
2025 · Youbang Sun
Linear Convergence of Independent Natural Policy Gradient in Games with Entropy Regularization
2024 · Sun, Youbang, Liu, Tao, et al. · arXiv (Cornell University)
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Works count: 31
Citation count: 67
H-index: 6
I10-index: 2
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