Rui Lu - RankMe

27 papers A* 6Journal 19Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Beyond the 80/20 Rule: High-Entropy Minority Tokens Drive Effective Reinforcement Learning for LLM Reasoning. CoRR 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
2025	J	`jnl`	Corrigendum to "Self-Referencing agents for unsupervised reinforcement learning" [Neural Networks Volume 188, August 2025, 107448]. Neural Networks Andrew Zhao, Erle Zhu, Rui Lu, Matthieu Lin, Yong-Jin Liu, Gao Huang
2025	J	`jnl`	Does Reinforcement Learning Really Incentivize Reasoning Capacity in LLMs Beyond the Base Model? CoRR Yang Yue, Zhiqi Chen, Rui Lu, Andrew Zhao, Zhaokai Wang, Shiji Song, Gao Huang
2025	J	`jnl`	Emulating Human-like Adaptive Vision for Efficient and Flexible Machine Visual Perception. CoRR Yulin Wang, 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
2025	A*	`conf`	How Far Is Video Generation from World Model: A Physical Law Perspective. ICML Bingyi Kang, Yang Yue, Rui Lu, Zhijie Lin, Yang Zhao, Kaixin Wang, Gao Huang, Jiashi Feng
2025	—	`conf`	Model Surgery: Modulating LLM's Behavior Via Simple Parameter Editing. NAACL (Long Papers) Huanqian Wang, Yang Yue, Rui Lu, Jingxin Shi, Andrew Zhao, Shenzhi Wang, Shiji Song, Gao Huang
2025	J	`jnl`	Self-Referencing Agents for Unsupervised Reinforcement Learning. Neural Networks Andrew Zhao, Erle Zhu, Rui Lu, Matthieu Lin, Yong-Jin Liu, Gao Huang
2025	A*	`conf`	Towards Understanding Text Hallucination of Diffusion Models via Local Generation Bias. ICLR Rui Lu, Runzhe Wang, Kaifeng Lyu, Xitai Jiang, Gao Huang, Mengdi Wang
2025	J	`jnl`	Towards Understanding Text Hallucination of Diffusion Models via Local Generation Bias. CoRR Rui Lu, Runzhe Wang, Kaifeng Lyu, Xitai Jiang, Gao Huang, Mengdi Wang
2025	J	`jnl`	Towards Understanding the Benefit of Multitask Representation Learning in Decision Process. CoRR Rui Lu, Yang Yue, Andrew Zhao, Simon S. Du, Gao Huang
2024	—	`conf`	AdaNAT: Exploring Adaptive Policy for Token-Based Image Generation. ECCV (16) Zanlin Ni, Yulin Wang, Renping Zhou, Rui Lu, Jiayi Guo, Jinyi Hu, Zhiyuan Liu, Yuan Yao, Gao Huang
2024	J	`jnl`	AdaNAT: Exploring Adaptive Policy for Token-Based Image Generation. CoRR Zanlin Ni, Yulin Wang, Renping Zhou, Rui Lu, Jiayi Guo, Jinyi Hu, Zhiyuan Liu, Yuan Yao, Gao Huang
2024	J	`jnl`	EfficientTrain++: Generalized Curriculum Learning for Efficient Visual Backbone Training. CoRR Yulin Wang, Yang Yue, Rui Lu, Yizeng Han, Shiji Song, Gao Huang
2024	J	`jnl`	EfficientTrain++: Generalized Curriculum Learning for Efficient Visual Backbone Training. IEEE Trans. Pattern Anal. Mach. Intell. Yulin Wang, Yang Yue, Rui Lu, Yizeng Han, Shiji Song, Gao Huang
2024	J	`jnl`	How Far is Video Generation from World Model: A Physical Law Perspective. CoRR Bingyi Kang, Yang Yue, Rui Lu, Zhijie Lin, Yang Zhao, Kaixin Wang, Gao Huang, Jiashi Feng
2024	J	`jnl`	Model Surgery: Modulating LLM's Behavior Via Simple Parameter Editing. CoRR Huanqian Wang, Yang Yue, Rui Lu, Jingxin Shi, Andrew Zhao, Shenzhi Wang, Shiji Song, Gao Huang
2023	J	`jnl`	Augmenting Unsupervised Reinforcement Learning with Self-Reference. CoRR Andrew Zhao, Erle Zhu, Rui Lu, Matthieu Lin, Yong-Jin Liu, Gao Huang
2023	A*	`conf`	EfficientTrain: Exploring Generalized Curriculum Learning for Training Visual Backbones. ICCV Yulin Wang, Yang Yue, Rui Lu, Tianjiao Liu, Zhao Zhong, Shiji Song, Gao Huang
2023	A*	`conf`	Understanding, Predicting and Better Resolving Q-Value Divergence in Offline-RL. NeurIPS Yang Yue, Rui Lu, Bingyi Kang, Shiji Song, Gao Huang
2023	J	`jnl`	Understanding, Predicting and Better Resolving Q-Value Divergence in Offline-RL. CoRR Yang Yue, Rui Lu, Bingyi Kang, Shiji Song, Gao Huang
2022	J	`jnl`	EfficientTrain: Exploring Generalized Curriculum Learning for Training Visual Backbones. CoRR Yulin Wang, Yang Yue, Rui Lu, Tianjiao Liu, Zhao Zhong, Shiji Song, Gao Huang
2022	A*	`conf`	On the Integration of Self-Attention and Convolution. CVPR Xuran Pan, Chunjiang Ge, Rui Lu, Shiji Song, Guanfu Chen, Zeyi Huang, Gao Huang
2022	A*	`conf`	Provable General Function Class Representation Learning in Multitask Bandits and MDP. NeurIPS Rui Lu, Andrew Zhao, Simon S. Du, Gao Huang
2022	J	`jnl`	Provable General Function Class Representation Learning in Multitask Bandits and MDPs. CoRR Rui Lu, Andrew Zhao, Simon S. Du, Gao Huang
2022	J	`jnl`	Rethinking the Zigzag Flattening for Image Reading. CoRR Qingsong Zhao, Zhipeng Zhou, Shuguang Dou, Yangguang Li, Rui Lu, Yin Wang, Cairong Zhao
2021	J	`jnl`	On the Integration of Self-Attention and Convolution. CoRR Xuran Pan, Chunjiang Ge, Rui Lu, Shiji Song, Guanfu Chen, Zeyi Huang, Gao Huang
2021	J	`jnl`	On the Power of Multitask Representation Learning in Linear MDP. CoRR Rui Lu, Gao Huang, Simon S. Du