Rui Lu

According to our database, Rui Lu authored at least 21 papers between 2021 and 2025.

Collaborative distances:

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

2025

Emulating Human-like Adaptive Vision for Efficient and Flexible Machine Visual Perception.

Yulin Wang, Yang Yue, Yang Yue, Huanqian Wang, Haojun Jiang, Yizeng Han, Zanlin Ni, Yifan Pu, Minglei Shi, Rui Lu, Qisen Yang, Andrew Zhao, Zhuofan Xia, Shiji Song, Gao Huang

CoRR, September, 2025

Beyond the 80/20 Rule: High-Entropy Minority Tokens Drive Effective Reinforcement Learning for LLM Reasoning.

Shenzhi Wang, Le Yu, Chang Gao, Chujie Zheng, Shixuan Liu, Rui Lu, Kai Dang, Xionghui Chen, Jianxin Yang, Zhenru Zhang, Yuqiong Liu, An Yang, Andrew Zhao, Yang Yue, Shiji Song, Bowen Yu, Gao Huang, Junyang Lin

CoRR, June, 2025

Does Reinforcement Learning Really Incentivize Reasoning Capacity in LLMs Beyond the Base Model?

Yang Yue, Zhiqi Chen, Rui Lu, Andrew Zhao, Zhaokai Wang, Yang Yue, Shiji Song, Gao Huang

CoRR, April, 2025

Towards Understanding the Benefit of Multitask Representation Learning in Decision Process.

Rui Lu, Yang Yue, Andrew Zhao, Simon S. Du, Gao Huang

CoRR, March, 2025

Corrigendum to "Self-Referencing agents for unsupervised reinforcement learning" [Neural Networks Volume 188, August 2025, 107448].

Andrew Zhao, Erle Zhu, Rui Lu, Matthieu Lin, Yong-Jin Liu, Gao Huang

Neural Networks, 2025

Self-Referencing Agents for Unsupervised Reinforcement Learning.

Andrew Zhao, Erle Zhu, Rui Lu, Matthieu Lin, Yong-Jin Liu, Gao Huang

Neural Networks, 2025

Beyond the 80/20 Rule: High-Entropy Minority Tokens Drive Effective Reinforcement Learning for LLM Reasoning.

Shenzhi Wang, Le Yu, Chang Gao, Chujie Zheng, Shixuan Liu, Rui Lu, Kai Dang, Xiong-Hui Chen, Jianxin Yang, Zhenru Zhang, Yuqiong Liu, An Yang, Andrew Zhao, Yang Yue, Shiji Song, Bowen Yu, Gao Huang, Junyang Lin

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Model Surgery: Modulating LLM's Behavior Via Simple Parameter Editing.

Huanqian Wang, Yang Yue, Rui Lu, Jingxin Shi, Andrew Zhao, Shenzhi Wang, Shiji Song, Gao Huang

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

How Far Is Video Generation from World Model: A Physical Law Perspective.

Bingyi Kang, Yang Yue, Rui Lu, Zhijie Lin, Yang Zhao, Kaixin Wang, Gao Huang, Jiashi Feng

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Towards Understanding Text Hallucination of Diffusion Models via Local Generation Bias.

Rui Lu, Runzhe Wang, Kaifeng Lyu, Xitai Jiang, Gao Huang, Mengdi Wang

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

EfficientTrain++: Generalized Curriculum Learning for Efficient Visual Backbone Training.

Yulin Wang, Yang Yue, Rui Lu, Yizeng Han, Shiji Song, Gao Huang

IEEE Trans. Pattern Anal. Mach. Intell., December, 2024

AdaNAT: Exploring Adaptive Policy for Token-Based Image Generation.

Zanlin Ni, Yulin Wang, Renping Zhou, Rui Lu, Jiayi Guo, Jinyi Hu, Zhiyuan Liu, Yuan Yao, Gao Huang

CoRR, 2024

AdaNAT: Exploring Adaptive Policy for Token-Based Image Generation.

Zanlin Ni, Yulin Wang, Renping Zhou, Rui Lu, Jiayi Guo, Jinyi Hu, Zhiyuan Liu, Yuan Yao, Gao Huang

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

Augmenting Unsupervised Reinforcement Learning with Self-Reference.

Andrew Zhao, Erle Zhu, Rui Lu, Matthieu Lin, Yong-Jin Liu, Gao Huang

CoRR, 2023

Understanding, Predicting and Better Resolving Q-Value Divergence in Offline-RL.

Yang Yue, Rui Lu, Bingyi Kang, Shiji Song, Gao Huang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

EfficientTrain: Exploring Generalized Curriculum Learning for Training Visual Backbones.

Yulin Wang, Yang Yue, Rui Lu, Tianjiao Liu, Zhao Zhong, Shiji Song, Gao Huang

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Provable General Function Class Representation Learning in Multitask Bandits and MDPs.

Rui Lu, Andrew Zhao, Simon S. Du, Gao Huang

CoRR, 2022

Rethinking the Zigzag Flattening for Image Reading.

Qingsong Zhao, Zhipeng Zhou, Shuguang Dou, Yangguang Li, Rui Lu, Yin Wang, Cairong Zhao

CoRR, 2022

Provable General Function Class Representation Learning in Multitask Bandits and MDP.

Rui Lu, Andrew Zhao, Simon S. Du, Gao Huang

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

On the Integration of Self-Attention and Convolution.

Xuran Pan, Chunjiang Ge, Rui Lu, Shiji Song, Guanfu Chen, Zeyi Huang, Gao Huang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

On the Power of Multitask Representation Learning in Linear MDP.

Rui Lu, Gao Huang, Simon S. Du

CoRR, 2021