Yingru Li

According to our database, Yingru Li authored at least 28 papers between 2014 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

The Optimal Token Baseline: Variance Reduction for Long-Horizon LLM-RL.

Yingru Li, Jiawei Xu, Ziniu Li, Jiacai Liu, Wei Liu, Yuxuan Tong, Longtao Zheng, Zhenghai Xue, Yaxiang Zhang, Tianle Cai, Ge Zhang, Qian Liu, Baoxiang Wang

CoRR, February, 2026

Dr. Kernel: Reinforcement Learning Done Right for Triton Kernel Generations.

Wei Liu, Jiawei Xu, Yingru Li, Longtao Zheng, Tianjian Li, Qian Liu, Junxian He

CoRR, February, 2026

Beyond Precision: Training-Inference Mismatch is an Optimization Problem and Simple LR Scheduling Fixes It.

Yaxiang Zhang, Yingru Li, Jiacai Liu, Jiawei Xu, Ziniu Li, Qian Liu, Haoyuan Li

CoRR, February, 2026

2025

A Note on Hybrid Online Reinforcement and Imitation Learning for LLMs: Formulations and Algorithms.

Yingru Li, Ziniu Li, Jiacai Liu

CoRR, December, 2025

Taming the Tail: Stable LLM Reinforcement Learning via Dynamic Vocabulary Pruning.

Yingru Li, Jiawei Xu, Jiacai Liu, Yuxuan Tong, Ziniu Li, Tianle Cai, Ge Zhang, Qian Liu, Baoxiang Wang

CoRR, December, 2025

Trust Region Masking for Long-Horizon LLM Reinforcement Learning.

Yingru Li, Jiacai Liu, Jiawei Xu, Yuxuan Tong, Ziniu Li, Baoxiang Wang

CoRR, December, 2025

Harnessing Uncertainty: Entropy-Modulated Policy Gradients for Long-Horizon LLM Agents.

Jiawei Wang, Jiacai Liu, Yuqian Fu, Yingru Li, Xintao Wang, Yuan Lin, Yu Yue, Lin Zhang, Yang Wang, Ke Wang

CoRR, September, 2025

SimpleTIR: End-to-End Reinforcement Learning for Multi-Turn Tool-Integrated Reasoning.

Zhenghai Xue, Longtao Zheng, Qian Liu, Yingru Li, Xiaosen Zheng, Zejun Ma, Bo An

CoRR, September, 2025

Logit Dynamics in Softmax Policy Gradient Methods.

Yingru Li

CoRR, June, 2025

OWL: Optimized Workforce Learning for General Multi-Agent Assistance in Real-World Task Automation.

Mengkang Hu, Yuhang Zhou, Wendong Fan, Yuzhou Nie, Bowei Xia, Tao Sun, Ziyu Ye, Zhaoxuan Jin, Yingru Li, Qiguang Chen, Zeyu Zhang, Yifeng Wang, Qianshuo Ye, Bernard Ghanem, Ping Luo, Guohao Li

CoRR, May, 2025

Uncertainty-Aware Search and Value Models: Mitigating Search Scaling Flaws in LLMs.

Fei Yu, Yingru Li, Benyou Wang

CoRR, February, 2025

Scaling Flaws of Verifier-Guided Search in Mathematical Reasoning.

Fei Yu, Yingru Li, Benyou Wang

CoRR, February, 2025

Divergence-Augmented Policy Optimization.

Qing Wang, Yingru Li, Jiechao Xiong, Tong Zhang

CoRR, January, 2025

Mapping the Completeness and Positional Accuracy of OpenStreetMap Road Data at the County Level in the Contiguous United States.

Dapeng Li, Madusha Maha Gamage, Jiacheng Cao, Yuhan Jiang, Yingru Li, Ling Zhang, Quynh C. Nguyen, Thu T. Nguyen, Laura K. Siebeneck

Trans. GIS, 2025

Effect of Elevated Temperature on Physical Activity and Falls in Low-Income Older Adults Using Zero-Inflated Poisson and Graphical Models.

Tho Nguyen, Dahee Kim, Yingru Li, Christopher T. Emrich, Jennifer Crook, Ladda Thiamwong, Rui Xie

Inf., 2025

2024

Adaptive Foundation Models for Online Decisions: HyperAgent with Fast Incremental Uncertainty Estimation.

Yingru Li, Jiawei Xu, Zhi-Quan Luo

CoRR, 2024

Probability Tools for Sequential Random Projection.

Yingru Li

CoRR, 2024

Simple, unified analysis of Johnson-Lindenstrauss with applications.

Yingru Li

CoRR, 2024

HyperAgent: A Simple, Scalable, Efficient and Provable Reinforcement Learning Framework for Complex Environments.

Yingru Li, Jiawei Xu, Lei Han, Zhi-Quan Luo

CoRR, 2024

Optimistic Thompson Sampling for No-Regret Learning in Unknown Games.

Yingru Li, Liangqi Liu, Wenqiang Pu, Hao Liang, Zhi-Quan Luo

CoRR, 2024

Radar Anti-Jamming Strategy Learning via Domain-Knowledge Enhanced Online Convex Optimization.

Liangqi Liu, Wenqiang Pu, Yingru Li, Bo Jiu, Zhi-Quan Luo

Proceedings of the 13th IEEE Sensor Array and Multichannel Signal Processing Workshop, 2024

Q-Star Meets Scalable Posterior Sampling: Bridging Theory and Practice via HyperAgent.

Yingru Li, Jiawei Xu, Lei Han, Zhi-Quan Luo

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Prior-dependent analysis of posterior sampling reinforcement learning with function approximation.

Yingru Li, Zhi-Quan Luo

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2022

HyperDQN: A Randomized Exploration Method for Deep Reinforcement Learning.

Ziniu Li, Yingru Li, Yushun Zhang, Tong Zhang, Zhi-Quan Luo

Proceedings of the Tenth International Conference on Learning Representations, 2022

2020

A Study on the GIS Professional (GISP) Certification Program in the U.S.

Dapeng Li, Yingru Li, Quynh C. Nguyen, Laura K. Siebeneck

ISPRS Int. J. Geo Inf., 2020

2019

Divergence-Augmented Policy Optimization.

Qing Wang, Yingru Li, Jiechao Xiong, Tong Zhang

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2018

Hidden community detection in social networks.

Kun He, Yingru Li, Sucheta Soundarajan, John E. Hopcroft

Inf. Sci., 2018

2014

Online Flood Information System: REST-Based Web Service.

Xiannian Chen, Xinyue Ye, Michael C. Carroll, Yingru Li

Int. J. Appl. Geospat. Res., 2014