On the Power of Multitask Representation Learning in Linear MDP. - Rui Lu 001; Gao Huang 001; Simon S. Du (CoRR, 2021)

On the Integration of Self-Attention and Convolution. - Xuran Pan; Chunjiang Ge; Rui Lu 001; Shiji Song; Guanfu Chen; Zeyi Huang; Gao Huang 001 (CVPR, 2022)

Provable General Function Class Representation Learning in Multitask Bandits and MDP. - Rui Lu 001; Andrew Zhao; Simon S. Du; Gao Huang 001 (NeurIPS, 2022)

Rethinking the Zigzag Flattening for Image Reading. - Qingsong Zhao; Zhipeng Zhou; Shuguang Dou; Yangguang Li; Rui Lu 001; Yin Wang; Cairong Zhao (CoRR, 2022)

Provable General Function Class Representation Learning in Multitask Bandits and MDPs. - Rui Lu 001; Andrew Zhao; Simon S. Du; Gao Huang 001 (CoRR, 2022)

EfficientTrain: Exploring Generalized Curriculum Learning for Training Visual Backbones. - Yulin Wang 002; Yang Yue; Rui Lu 001; Tianjiao Liu; Zhao Zhong; Shiji Song; Gao Huang 001 (ICCV, 2023)

Understanding, Predicting and Better Resolving Q-Value Divergence in Offline-RL. - Yang Yue; Rui Lu 001; Bingyi Kang; Shiji Song; Gao Huang 001 (NeurIPS, 2023)

Augmenting Unsupervised Reinforcement Learning with Self-Reference. - Andrew Zhao; Erle Zhu; Rui Lu 001; Matthieu Lin; Yong-Jin Liu 001; Gao Huang 001 (CoRR, 2023)

AdaNAT: Exploring Adaptive Policy for Token-Based Image Generation. - Zanlin Ni; Yulin Wang 002; Renping Zhou; Rui Lu 001; Jiayi Guo; Jinyi Hu; Zhiyuan Liu 001; Yuan Yao 013; Gao Huang 001 (ECCV (16), 2024)

AdaNAT: Exploring Adaptive Policy for Token-Based Image Generation. - Zanlin Ni; Yulin Wang 002; Renping Zhou; Rui Lu 001; Jiayi Guo; Jinyi Hu; Zhiyuan Liu 001; Yuan Yao 011; Gao Huang 001 (CoRR, 2024)

EfficientTrain++: Generalized Curriculum Learning for Efficient Visual Backbone Training. - Yulin Wang 002; Yang Yue; Rui Lu 001; Yizeng Han; Shiji Song; Gao Huang 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Towards Understanding Text Hallucination of Diffusion Models via Local Generation Bias. - Rui Lu 001; Runzhe Wang; Kaifeng Lyu; Xitai Jiang; Gao Huang 001; Mengdi Wang 001 (ICLR, 2025)

How Far Is Video Generation from World Model: A Physical Law Perspective. - Bingyi Kang; Yang Yue; Rui Lu 001; Zhijie Lin 001; Yang Zhao 003; Kaixin Wang; Gao Huang 001; Jiashi Feng (ICML, 2025)

Model Surgery: Modulating LLM's Behavior Via Simple Parameter Editing. - Huanqian Wang; Yang Yue; Rui Lu 001; Jingxin Shi; Andrew Zhao; Shenzhi Wang; Shiji Song; Gao Huang 001 (NAACL (Long Papers), 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 001; Kai Dang; Xiong-Hui Chen; Jianxin Yang; Zhenru Zhang; Yuqiong Liu; An Yang; et al. (NeurIPS, 2025)

Self-Referencing Agents for Unsupervised Reinforcement Learning. - Andrew Zhao; Erle Zhu; Rui Lu 001; Matthieu Lin; Yong-Jin Liu 001; Gao Huang 001 (Neural Networks, 2025)

Corrigendum to "Self-Referencing agents for unsupervised reinforcement learning" [Neural Networks Volume 188, August 2025, 107448]. - Andrew Zhao; Erle Zhu; Rui Lu 001; Matthieu Lin; Yong-Jin Liu 001; Gao Huang 001 (Neural Networks, 2025)

Towards Understanding the Benefit of Multitask Representation Learning in Decision Process. - Rui Lu 001; Yang Yue; Andrew Zhao; Simon S. Du; Gao Huang 001 (CoRR, 2025)

Does Reinforcement Learning Really Incentivize Reasoning Capacity in LLMs Beyond the Base Model? - Yang Yue; Zhiqi Chen; Rui Lu 001; Andrew Zhao; Zhaokai Wang; Yang Yue; Shiji Song; Gao Huang 001 (CoRR, 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 001; Kai Dang; Xionghui Chen; Jianxin Yang; Zhenru Zhang; Yuqiong Liu; An Yang; et al. (CoRR, 2025)

Emulating Human-like Adaptive Vision for Efficient and Flexible Machine Visual Perception. - Yulin Wang 002; Yang Yue; Yang Yue; Huanqian Wang; Haojun Jiang; Yizeng Han; Zanlin Ni; Yifan Pu; Minglei Shi; Rui Lu 001; Qisen Yang; Andrew Zhao; et al. (CoRR, 2025)