Dongrui Liu

According to our database, Dongrui Liu authored at least 34 papers between 2017 and 2024.

Collaborative distances:

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

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

VLSBench: Unveiling Visual Leakage in Multimodal Safety.

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

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

REEF: Representation Encoding Fingerprints for Large Language Models.

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

Towards the Dynamics of a DNN Learning Symbolic Interactions.

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

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