Dongrui Liu

According to our database, Dongrui Liu authored at least 58 papers between 2017 and 2025.

Collaborative distances:

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

2025

EVCtrl: Efficient Control Adapter for Visual Generation.

Zixiang Yang, Yue Ma, Yinhan Zhang, Shanhui Mo, Dongrui Liu, Linfeng Zhang

CoRR, August, 2025

Thinking Inside the Mask: In-Place Prompting in Diffusion LLMs.

Xiangqi Jin, Yuxuan Wang, Yifeng Gao, Zichen Wen, Biqing Qi, Dongrui Liu, Linfeng Zhang

CoRR, August, 2025

A Survey of Self-Evolving Agents: On Path to Artificial Super Intelligence.

Huan-ang Gao, Jiayi Geng, Wenyue Hua, Mengkang Hu, Xinzhe Juan, Hongzhang Liu, Shilong Liu, Jiahao Qiu, Xuan Qi, Yiran Wu, Hongru Wang, Han Xiao, Yuhang Zhou, Shaokun Zhang, Jiayi Zhang, Jinyu Xiang, Yixiong Fang, Qiwen Zhao, Dongrui Liu, Qihan Ren, Cheng Qian, Zhenhailong Wang, Minda Hu, Huazheng Wang, Qingyun Wu, Heng Ji, Mengdi Wang

CoRR, July, 2025

SafeWork-R1: Coevolving Safety and Intelligence under the AI-45^° Law.

Yicheng Bao, Guanxu Chen, Mingkang Chen, Yunhao Chen, Chiyu Chen, Lingjie Chen, Sirui Chen, Xinquan Chen, Jie Cheng, Yu Cheng, Dengke Deng, Yizhuo Ding, Dan Ding, Xiaoshan Ding, Yi Ding, Zhichen Dong, Lingxiao Du, Yuyu Fan, Xinshun Feng, Yanwei Fu, Yuxuan Gao, Ruijun Ge, Tianle Gu, Lujun Gui, Jiaxuan Guo, Qianxi He, Yuenan Hou, Xuhao Hu, Hong Huang, Kaichen Huang, Shiyang Huang, Yuxian Jiang, Shanzhe Lei, Jie Li, Lijun Li, Hao Li, Juncheng Li, Xiangtian Li, Yafu Li, Lingyu Li, Xueyan Li, Haotian Liang, Dongrui Liu, Qihua Liu, Zhixuan Liu, Bangwei Liu, Huacan Liu, Yuexiao Liu, Zongkai Liu, Chaochao Lu, Yudong Lu, Xiaoya Lu, Zhenghao Lu, Qitan Lv, Caoyuan Ma, Jiachen Ma, Xiaoya Ma, Zhongtian Ma, Lingyu Meng, Ziqi Miao, Yazhe Niu, Yuezhang Peng, Yuan Pu, Han Qi, Chen Qian, Xingge Qiao, Jingjing Qu, Jiashu Qu, Wanying Qu, Wenwen Qu, Xiaoye Qu, Qihan Ren, Qingnan Ren, Qingyu Ren, Jing Shao, Wenqi Shao, Shuai Shao, Dongxing Shi, Xin Song, Xinhao Song, Yan Teng, Xuan Tong, Yingchun Wang, Xuhong Wang, Shujie Wang, Xin Wang, Yige Wang, Yixu Wang, Yuanfu Wang, Futing Wang, Ruofan Wang, Wenjie Wang, Yajie Wang, Muhao Wei, Xiaoyu Wen, Fenghua Weng, Yuqi Wu, Yingtong Xiong, Xingcheng Xu

CoRR, July, 2025

Frontier AI Risk Management Framework in Practice: A Risk Analysis Technical Report.

Xiaoyang Chen, Yunhao Chen, Zeren Chen, Zhiyun Chen, Hanyun Cui, Yawen Duan, Jiaxuan Guo, Qi Guo, Xuhao Hu, Hong Huang, Lige Huang, Chunxiao Li, Juncheng Li, Qihao Lin, Dongrui Liu, Xinmin Liu, Zicheng Liu, Chaochao Lu, Xiaoya Lu, Jingjing Qu, Qibing Ren, Jing Shao, Jingwei Shi, Jingwei Sun, Peng Wang, Weibing Wang, Jia Xu, Lewen Yan, Xiao Yu, Yi Yu, Boxuan Zhang, Jie Zhang, Weichen Zhang, Zhijie Zheng, Tianyi Zhou, Bowen Zhou

CoRR, July, 2025

The Devil behind the mask: An emergent safety vulnerability of Diffusion LLMs.

Zichen Wen, Jiashu Qu, Dongrui Liu, Zhiyuan Liu, Ruixi Wu, Yicun Yang, Xiangqi Jin, Haoyun Xu, Xuyang Liu, Weijia Li, Chaochao Lu, Jing Shao, Conghui He, Linfeng Zhang

CoRR, July, 2025

IS-Bench: Evaluating Interactive Safety of VLM-Driven Embodied Agents in Daily Household Tasks.

Xiaoya Lu, Zeren Chen, Xuhao Hu, Yijin Zhou, Weichen Zhang, Dongrui Liu, Lu Sheng, Jing Shao

CoRR, June, 2025

Accelerating Diffusion Large Language Models with SlowFast Sampling: The Three Golden Principles.

Qingyan Wei, Yaojie Zhang, Zhiyuan Liu, Dongrui Liu, Linfeng Zhang

CoRR, June, 2025

Demystifying Reasoning Dynamics with Mutual Information: Thinking Tokens are Information Peaks in LLM Reasoning.

Chen Qian, Dongrui Liu, Haochen Wen, Zhen Bai, Yong Liu, Jing Shao

CoRR, June, 2025

RiOSWorld: Benchmarking the Risk of Multimodal Computer-Use Agents.

Jingyi Yang, Shuai Shao, Dongrui Liu, Jing Shao

CoRR, June, 2025

Alita: Generalist Agent Enabling Scalable Agentic Reasoning with Minimal Predefinition and Maximal Self-Evolution.

Jiahao Qiu, Xuan Qi, Tongcheng Zhang, Xinzhe Juan, Jiacheng Guo, Yifu Lu, Yimin Wang, Zixin Yao, Qihan Ren, Xun Jiang, Xing Zhou, Dongrui Liu, Ling Yang, Yue Wu, Kaixuan Huang, Shilong Liu, Hongru Wang, Mengdi Wang

CoRR, May, 2025

Benchmarking Multimodal Knowledge Conflict for Large Multimodal Models.

Yifan Jia, Kailin Jiang, Yuyang Liang, Qihan Ren, Yi Xin, Rui Yang, Fenze Feng, Mingcai Chen, Hengyang Lu, Haozhe Wang, Xiaoye Qu, Dongrui Liu, Lizhen Cui, Yuntao Du

CoRR, May, 2025

A Survey of Efficient Reasoning for Large Reasoning Models: Language, Multimodality, and Beyond.

Xiaoye Qu, Yafu Li, Zhaochen Su, Weigao Sun, Jianhao Yan, Dongrui Liu, Ganqu Cui, Daizong Liu, Shuxian Liang, Junxian He, Peng Li, Wei Wei, Jing Shao, Chaochao Lu, Yue Zhang, Xian-Sheng Hua, Bowen Zhou, Yu Cheng

CoRR, March, 2025

Learning A Zero-shot Occupancy Network from Vision Foundation Models via Self-supervised Adaptation.

Sihao Lin, Daqi Liu, Ruochong Fu, Dongrui Liu, Andy Song, Hongwei Xie, Zhihui Li, Bing Wang, Xiaojun Chang

CoRR, March, 2025

LED-Merging: Mitigating Safety-Utility Conflicts in Model Merging with Location-Election-Disjoint.

Qianli Ma, Dongrui Liu, Chen Qian, Linfeng Zhang, Jing Shao

CoRR, February, 2025

X-Boundary: Establishing Exact Safety Boundary to Shield LLMs from Multi-Turn Jailbreaks without Compromising Usability.

Xiaoya Lu, Dongrui Liu, Yi Yu, Luxin Xu, Jing Shao

CoRR, February, 2025

SEER: Self-Explainability Enhancement of Large Language Models' Representations.

Guanxu Chen, Dongrui Liu, Tao Luo, Jing Shao

CoRR, February, 2025

Refining Alignment Framework for Diffusion Models with Intermediate-Step Preference Ranking.

Jie Ren, Yuhang Zhang, Dongrui Liu, Xiaopeng Zhang, Qi Tian

CoRR, February, 2025

REEF: Representation Encoding Fingerprints for Large Language Models.

Jie Zhang, Dongrui Liu, Chen Qian, Linfeng Zhang, Yong Liu, Yu Qiao, Jing Shao

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Decouple-Then-Merge: Finetune Diffusion Models as Multi-Task Learning.

Qianli Ma, Xuefei Ning, Dongrui Liu, Li Niu, Linfeng Zhang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

EvoBench: Towards Real-world LLM-Generated Text Detection Benchmarking for Evolving Large Language Models.

Xiao Yu, Yi Yu, Dongrui Liu, Kejiang Chen, Weiming Zhang, Nenghai Yu, Jing Shao

Proceedings of the Findings of the Association for Computational Linguistics, 2025

LLMs know their vulnerabilities: Uncover Safety Gaps through Natural Distribution Shifts.

Qibing Ren, Hao Li, Dongrui Liu, Zhanxu Xie, Xiaoya Lu, Yu Qiao, Lei Sha, Junchi Yan, Lizhuang Ma, Jing Shao

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

Cooperative or Competitive? Understanding the Interaction between Attention Heads From A Game Theory Perspective.

Xiaoye Qu, Zengqi Yu, Dongrui Liu, Wei Wei, Daizong Liu, Jianfeng Dong, Yu Cheng

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

The Tug of War Within: Mitigating the Fairness-Privacy Conflicts in Large Language Models.

Chen Qian, Dongrui Liu, Jie Zhang, Yong Liu, Jing Shao

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

LED-Merging: Mitigating Safety-Utility Conflicts in Model Merging with Location-Election-Disjoint.

Qianli Ma, Dongrui Liu, Qian Chen, Linfeng Zhang, Jing Shao

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

VLSBench: Unveiling Visual Leakage in Multimodal Safety.

Xuhao Hu, Dongrui Liu, Hao Li, Xuanjing Huang, Jing Shao

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

Explainable and Interpretable Multimodal Large Language Models: A Comprehensive Survey.

Yunkai Dang, Kaichen Huang, Jiahao Huo, Yibo Yan, Sirui Huang, Dongrui Liu, Mengxi Gao, Jie Zhang, Chen Qian, Kun Wang, Yong Liu, Jing Shao, Hui Xiong, Xuming Hu

CoRR, 2024

DEAN: Deactivating the Coupled Neurons to Mitigate Fairness-Privacy Conflicts in Large Language Models.

Chen Qian, Dongrui Liu, Jie Zhang, Yong Liu, Jing Shao

CoRR, 2024

Derail Yourself: Multi-turn LLM Jailbreak Attack through Self-discovered Clues.

Qibing Ren, Hao Li, Dongrui Liu, Zhanxu Xie, Xiaoya Lu, Yu Qiao, Lei Sha, Junchi Yan, Lizhuang Ma, Jing Shao

CoRR, 2024

Decouple-Then-Merge: Towards Better Training for Diffusion Models.

Qianli Ma, Xuefei Ning, Dongrui Liu, Li Niu, Linfeng Zhang

CoRR, 2024

The Better Angels of Machine Personality: How Personality Relates to LLM Safety.

Jie Zhang, Dongrui Liu, Chen Qian, Ziyue Gan, Yong Liu, Yu Qiao, Jing Shao

CoRR, 2024

Self-Supervised Multi-Frame Neural Scene Flow.

Dongrui Liu, Daqi Liu, Xueqian Li, Sihao Lin, Hongwei Xie, Bing Wang, Xiaojun Chang, Lei Chu

CoRR, 2024

Identifying Semantic Induction Heads to Understand In-Context Learning.

Jie Ren, Qipeng Guo, Hang Yan, Dongrui Liu, Xipeng Qiu, Dahua Lin

CoRR, 2024

Towards the Dynamics of a DNN Learning Symbolic Interactions.

Qihan Ren, Junpeng Zhang, Yang Xu, Yue Xin, Dongrui Liu, Quanshi Zhang

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

MLP Can Be a Good Transformer Learner.

Sihao Lin, Pumeng Lyu, Dongrui Liu, Tao Tang, Xiaodan Liang, Andy Song, Xiaojun Chang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Identifying Semantic Induction Heads to Understand In-Context Learning.

Jie Ren, Qipeng Guo, Hang Yan, Dongrui Liu, Quanshi Zhang, Xipeng Qiu, Dahua Lin

Proceedings of the Findings of the Association for Computational Linguistics, 2024

Towards Tracing Trustworthiness Dynamics: Revisiting Pre-training Period of Large Language Models.

Chen Qian, Jie Zhang, Wei Yao, Dongrui Liu, Zhenfei Yin, Yu Qiao, Yong Liu, Jing Shao

Proceedings of the Findings of the Association for Computational Linguistics, 2024

Explaining Generalization Power of a DNN Using Interactive Concepts.

Huilin Zhou, Hao Zhang, Huiqi Deng, Dongrui Liu, Wen Shen, Shih-Han Chan, Quanshi Zhang

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

SAKS: Sampling Adaptive Kernels From Subspace for Point Cloud Graph Convolution.

Chuanchuan Chen, Dongrui Liu, Changqing Xu, Trieu-Kien Truong

IEEE Trans. Circuits Syst. Video Technol., October, 2023

Self-Supervised Point Cloud Registration With Deep Versatile Descriptors for Intelligent Driving.

Dongrui Liu, Chuanchaun Chen, Changqing Xu, Robert C. Qiu, Lei Chu

IEEE Trans. Intell. Transp. Syst., September, 2023

Concept-Level Explanation for the Generalization of a DNN.

Huilin Zhou, Hao Zhang, Huiqi Deng, Dongrui Liu, Wen Shen, Shih-Han Chan, Quanshi Zhang

CoRR, 2023

Towards the Difficulty for a Deep Neural Network to Learn Concepts of Different Complexities.

Dongrui Liu, Huiqi Deng, Xu Cheng, Qihan Ren, Kangrui Wang, Quanshi Zhang

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

2022

A Robust and Reliable Point Cloud Recognition Network Under Rigid Transformation.

Dongrui Liu, Chuanchuan Chen, Changqing Xu, Qi Cai, Lei Chu, Fei Wen, Robert C. Qiu

IEEE Trans. Instrum. Meas., 2022

Self-supervised Point Cloud Registration with Deep Versatile Descriptors.

Dongrui Liu, Chuanchuan Chen, Changqing Xu, Robert C. Qiu, Lei Chu

CoRR, 2022

PFMixer: Point Cloud Frequency Mixing.

Dongrui Liu, Shiyun Liu, Chuanchuan Chen, Zhengyun Jiang, Changqing Xu

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

PointFP: A Feature-Preserving Point Cloud Sampling.

Dongrui Liu, Chuanchuan Chen, Shiyun Liu, Zhengyun Jiang, Changqing Xu

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

Point Clouds Downsampling Based on Complementary Attention and Contrastive Learning.

Chuanchuan Chen, Dongrui Liu, Changqing Xu

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

SGCNN for 3D Point Cloud Classification.

Shiyun Liu, Dongrui Liu, Chuanchuan Chen, Changqing Xu

Proceedings of the ICMLC 2022: 14th International Conference on Machine Learning and Computing, Guangzhou, China, February 18, 2022

2021

GeneCGAN: A conditional generative adversarial network based on genetic tree for point cloud reconstruction.

Chuanchuan Chen, Dongrui Liu, Changqing Xu, Trieu-Kien Truong

Neurocomputing, 2021

Multi-View Partial (MVP) Point Cloud Challenge 2021 on Completion and Registration: Methods and Results.

Liang Pan, Tong Wu, Zhongang Cai, Ziwei Liu, Xumin Yu, Yongming Rao, Jiwen Lu, Jie Zhou, Mingye Xu, Xiaoyuan Luo, Kexue Fu, Peng Gao, Manning Wang, Yali Wang, Yu Qiao, Junsheng Zhou, Xin Wen, Peng Xiang, Yu-Shen Liu, Zhizhong Han, Yuanjie Yan, Junyi An, Lifa Zhu, Changwei Lin, Dongrui Liu, Xin Li, Francisco Gómez Fernández, Qinlong Wang, Yang Yang

CoRR, 2021

Trap of Feature Diversity in the Learning of MLPs.

Dongrui Liu, Shaobo Wang, Jie Ren, Kangrui Wang, Sheng Yin, Quanshi Zhang

CoRR, 2021

Deep Models with Fusion Strategies for MVP Point Cloud Registration.

Lifa Zhu, Changwei Lin, Dongrui Liu, Xin Li, Francisco Gómez Fernández

CoRR, 2021

Point Cloud Registration using Representative Overlapping Points.

Lifa Zhu, Dongrui Liu, Changwei Lin, Rui Yan, Francisco Gómez Fernández, Ninghua Yang, Ziyong Feng

CoRR, 2021

Interpreting Representation Quality of DNNs for 3D Point Cloud Processing.

Wen Shen, Qihan Ren, Dongrui Liu, Quanshi Zhang

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

A Self Contour-based Rotation and Translation-Invariant Transformation for Point Clouds Recognition.

Dongrui Liu, Chuanchuan Chen, Changqing Xu, Qi Cai, Lei Chu, Robert Caiming Qiu

CoRR, 2020

2017

基于贝叶斯网络预测克隆代码质量 (Prediction of Code Clone Quality Based on Bayesian Network).

Dongrui Liu, Dongsheng Liu, Liping Zhang, Min Hou, Chunhui Wang

计算机科学, 2017

Cluster analysis algorithm based on key data integration for cloud computing.

Dongrui Liu

Int. J. Reason. based Intell. Syst., 2017

A Data Streaming Algorithm for Detection of Superpoints With Small Memory Consumption.

Lei Zheng, Dongrui Liu, Weijiang Liu, Zhaobin Liu, Zhiyang Li, Tiantian Wu

IEEE Commun. Lett., 2017