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Rui Lu 0001
Person information
- affiliation: Tsinghua University, Institute for Interdisciplinary Information Sciences, Beijing, China
- affiliation: Tsinghua University, Department of Automation, Beijing National Research Center for Information Science and Technology (BNRist), Beijing, China
Other persons with the same name
- Rui Lu — disambiguation page
- Rui Lu 0002
— Tsinghua University, Department of Computer Science and Technology, Beijing, China - Rui Lu 0003
— Tsinghua University, Department of Automation, Tsinghua National Laboratory for Information Science and Technology (TNList), State Key Lab of Intelligent Technologies and Systems, Beijing, China
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2020 – today
- 2025
[j3]Andrew Zhao
, Erle Zhu, Rui Lu, Matthieu Lin, Yong-Jin Liu
, Gao Huang:
Self-Referencing Agents for Unsupervised Reinforcement Learning. Neural Networks 188: 107448 (2025)
[j2]Andrew Zhao, Erle Zhu, Rui Lu, Matthieu Lin, Yong-Jin Liu, Gao Huang:
Corrigendum to "Self-Referencing agents for unsupervised reinforcement learning" [Neural Networks Volume 188, August 2025, 107448]. Neural Networks 189: 107632 (2025)
[c8]Rui Lu, Runzhe Wang, Kaifeng Lyu, Xitai Jiang, Gao Huang, Mengdi Wang:
Towards Understanding Text Hallucination of Diffusion Models via Local Generation Bias. ICLR 2025
[c7]Bingyi Kang, Yang Yue, Rui Lu, Zhijie Lin, Yang Zhao, Kaixin Wang, Gao Huang, Jiashi Feng:
How Far Is Video Generation from World Model: A Physical Law Perspective. ICML 2025
[c6]Huanqian Wang, Yang Yue, Rui Lu, Jingxin Shi, Andrew Zhao, Shenzhi Wang, Shiji Song, Gao Huang:
Model Surgery: Modulating LLM's Behavior Via Simple Parameter Editing. NAACL (Long Papers) 2025: 6337-6357
[i16]Rui Lu, Yang Yue, Andrew Zhao, Simon S. Du, Gao Huang:
Towards Understanding the Benefit of Multitask Representation Learning in Decision Process. CoRR abs/2503.00345 (2025)
[i15]Rui Lu, Runzhe Wang, Kaifeng Lyu, Xitai Jiang, Gao Huang, Mengdi Wang:
Towards Understanding Text Hallucination of Diffusion Models via Local Generation Bias. CoRR abs/2503.03595 (2025)
[i14]Yang Yue, Zhiqi Chen, Rui Lu, Andrew Zhao, Zhaokai Wang, Yang Yue, Shiji Song, Gao Huang:
Does Reinforcement Learning Really Incentivize Reasoning Capacity in LLMs Beyond the Base Model? CoRR abs/2504.13837 (2025)
[i13]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:
Beyond the 80/20 Rule: High-Entropy Minority Tokens Drive Effective Reinforcement Learning for LLM Reasoning. CoRR abs/2506.01939 (2025)
[i12]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:
Emulating Human-like Adaptive Vision for Efficient and Flexible Machine Visual Perception. CoRR abs/2509.15333 (2025)- 2024
[j1]Yulin Wang
, Yang Yue
, Rui Lu
, Yizeng Han
, Shiji Song
, Gao Huang
:
EfficientTrain++: Generalized Curriculum Learning for Efficient Visual Backbone Training. IEEE Trans. Pattern Anal. Mach. Intell. 46(12): 8036-8055 (2024)
[c5]Zanlin Ni
, Yulin Wang
, Renping Zhou
, Rui Lu
, Jiayi Guo
, Jinyi Hu
, Zhiyuan Liu
, Yuan Yao
, Gao Huang
:
AdaNAT: Exploring Adaptive Policy for Token-Based Image Generation. ECCV (16) 2024: 302-319
[i11]Yulin Wang, Yang Yue, Rui Lu, Yizeng Han, Shiji Song, Gao Huang:
EfficientTrain++: Generalized Curriculum Learning for Efficient Visual Backbone Training. CoRR abs/2405.08768 (2024)
[i10]Huanqian Wang, Yang Yue, Rui Lu, Jingxin Shi, Andrew Zhao, Shenzhi Wang, Shiji Song, Gao Huang:
Model Surgery: Modulating LLM's Behavior Via Simple Parameter Editing. CoRR abs/2407.08770 (2024)
[i9]Zanlin Ni, Yulin Wang, Renping Zhou, Rui Lu, Jiayi Guo, Jinyi Hu, Zhiyuan Liu, Yuan Yao, Gao Huang:
AdaNAT: Exploring Adaptive Policy for Token-Based Image Generation. CoRR abs/2409.00342 (2024)
[i8]Bingyi Kang, Yang Yue, Rui Lu, Zhijie Lin, Yang Zhao, Kaixin Wang, Gao Huang, Jiashi Feng:
How Far is Video Generation from World Model: A Physical Law Perspective. CoRR abs/2411.02385 (2024)- 2023
[c4]Yulin Wang
, Yang Yue
, Rui Lu, Tianjiao Liu, Zhao Zhong, Shiji Song, Gao Huang:
EfficientTrain: Exploring Generalized Curriculum Learning for Training Visual Backbones. ICCV 2023: 5829-5841
[c3]Yang Yue, Rui Lu, Bingyi Kang, Shiji Song, Gao Huang:
Understanding, Predicting and Better Resolving Q-Value Divergence in Offline-RL. NeurIPS 2023
[i7]Yang Yue, Rui Lu, Bingyi Kang, Shiji Song, Gao Huang:
Understanding, Predicting and Better Resolving Q-Value Divergence in Offline-RL. CoRR abs/2310.04411 (2023)
[i6]Andrew Zhao, Erle Zhu, Rui Lu, Matthieu Lin, Yong-Jin Liu, Gao Huang:
Augmenting Unsupervised Reinforcement Learning with Self-Reference. CoRR abs/2311.09692 (2023)- 2022
[c2]Xuran Pan, Chunjiang Ge, Rui Lu, Shiji Song, Guanfu Chen, Zeyi Huang, Gao Huang:
On the Integration of Self-Attention and Convolution. CVPR 2022: 805-815
[c1]Rui Lu, Andrew Zhao, Simon S. Du, Gao Huang:
Provable General Function Class Representation Learning in Multitask Bandits and MDP. NeurIPS 2022
[i5]Qingsong Zhao, Zhipeng Zhou, Shuguang Dou, Yangguang Li, Rui Lu, Yin Wang, Cairong Zhao:
Rethinking the Zigzag Flattening for Image Reading. CoRR abs/2202.10240 (2022)
[i4]Rui Lu, Andrew Zhao, Simon S. Du, Gao Huang:
Provable General Function Class Representation Learning in Multitask Bandits and MDPs. CoRR abs/2205.15701 (2022)
[i3]Yulin Wang, Yang Yue, Rui Lu, Tianjiao Liu, Zhao Zhong, Shiji Song, Gao Huang:
EfficientTrain: Exploring Generalized Curriculum Learning for Training Visual Backbones. CoRR abs/2211.09703 (2022)- 2021
[i2]Rui Lu, Gao Huang, Simon S. Du:
On the Power of Multitask Representation Learning in Linear MDP. CoRR abs/2106.08053 (2021)
[i1]Xuran Pan, Chunjiang Ge, Rui Lu, Shiji Song, Guanfu Chen, Zeyi Huang, Gao Huang:
On the Integration of Self-Attention and Convolution. CoRR abs/2111.14556 (2021)
Coauthor Index

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last updated on 2026-01-25 04:01 CET by the dblp team
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