Youbang Sun

Orcid: 0000-0003-2494-8552

According to our database1, Youbang Sun authored at least 26 papers between 2018 and 2025.

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Bibliography

2025
Finite-Time Analysis of Stochastic Nonconvex Nonsmooth Optimization on the Riemannian Manifolds.
CoRR, October, 2025

DePass: Unified Feature Attributing by Simple Decomposed Forward Pass.
CoRR, October, 2025

ADARL: Adaptive Low-Rank Structures for Robust Policy Learning under Uncertainty.
CoRR, October, 2025

FlowRL: Matching Reward Distributions for LLM Reasoning.
CoRR, September, 2025

SimpleVLA-RL: Scaling VLA Training via Reinforcement Learning.
CoRR, September, 2025

A Survey of Reinforcement Learning for Large Reasoning Models.
CoRR, September, 2025

R<sup>2</sup>AI: Towards Resistant and Resilient AI in an Evolving World.
CoRR, September, 2025

Towards a Unified View of Large Language Model Post-Training.
CoRR, September, 2025

OPERA: A Reinforcement Learning-Enhanced Orchestrated Planner-Executor Architecture for Reasoning-Oriented Multi-Hop Retrieval.
CoRR, August, 2025

Automating Exploratory Multiomics Research via Language Models.
CoRR, June, 2025

TTRL: Test-Time Reinforcement Learning.
CoRR, April, 2025

Technologies on Effectiveness and Efficiency: A Survey of State Spaces Models.
CoRR, March, 2025

2024
Linear Convergence of Independent Natural Policy Gradient in Games With Entropy Regularization.
IEEE Control. Syst. Lett., 2024

Local Linear Convergence of Infeasible Optimization With Orthogonal Constraints.
IEEE Control. Syst. Lett., 2024

Fourier Position Embedding: Enhancing Attention's Periodic Extension for Length Generalization.
CoRR, 2024

Automating Exploratory Proteomics Research via Language Models.
CoRR, 2024

Global Convergence of Decentralized Retraction-Free Optimization on the Stiefel Manifold.
CoRR, 2024

Improving LoRA in Privacy-preserving Federated Learning.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023
On Centralized and Distributed Mirror Descent: Convergence Analysis Using Quadratic Constraints.
IEEE Trans. Autom. Control., May, 2023

Provably Fast Convergence of Independent Natural Policy Gradient for Markov Potential Games.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

On the Stability Analysis of Open Federated Learning Systems.
Proceedings of the American Control Conference, 2023

2021
On Centralized and Distributed Mirror Descent: Exponential Convergence Analysis Using Quadratic Constraints.
CoRR, 2021

Distributed Mirror Descent with Integral Feedback: Convergence Analysis from a Dynamical System Perspective.
Proceedings of the 55th Annual Conference on Information Sciences and Systems, 2021

Linear Convergence of Distributed Mirror Descent with Integral Feedback for Strongly Convex Problems.
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

Distributed Mirror Descent with Integral Feedback: Asymptotic Convergence Analysis of Continuous-time Dynamics.
Proceedings of the 2021 American Control Conference, 2021

2018
Can I trust you more? Model-Agnostic Hierarchical Explanations.
CoRR, 2018


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