A Data Streaming Algorithm for Detection of Superpoints With Small Memory Consumption. - Lei Zheng; Dongrui Liu; Weijiang Liu; Zhaobin Liu; Zhiyang Li 001; Tiantian Wu (IEEE Commun. Lett., 2017)

Cluster analysis algorithm based on key data integration for cloud computing. - Dongrui Liu (Int. J. Reason. based Intell. Syst., 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)

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)

Interpreting Representation Quality of DNNs for 3D Point Cloud Processing. - Wen Shen 002; Qihan Ren; Dongrui Liu; Quanshi Zhang (NeurIPS, 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)

Deep Models with Fusion Strategies for MVP Point Cloud Registration. - Lifa Zhu; Changwei Lin; Dongrui Liu; Xin Li; Francisco Gómez Fernández (CoRR, 2021)

Trap of Feature Diversity in the Learning of MLPs. - Dongrui Liu; Shaobo Wang; Jie Ren 018; Kangrui Wang; Sheng Yin; Quanshi Zhang (CoRR, 2021)

Multi-View Partial (MVP) Point Cloud Challenge 2021 on Completion and Registration: Methods and Results. - Liang Pan; Tong Wu; Zhongang Cai; Ziwei Liu 002; Xumin Yu; Yongming Rao; Jiwen Lu; Jie Zhou 001; Mingye Xu; Xiaoyuan Luo; Kexue Fu; Peng Gao 007; et al. (CoRR, 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)

SGCNN for 3D Point Cloud Classification. - Shiyun Liu; Dongrui Liu; Chuanchuan Chen; Changqing Xu (ICMLC, 2022)

Point Clouds Downsampling Based on Complementary Attention and Contrastive Learning. - Chuanchuan Chen; Dongrui Liu; Changqing Xu (IGARSS, 2022)

PointFP: A Feature-Preserving Point Cloud Sampling. - Dongrui Liu; Chuanchuan Chen; Shiyun Liu; Zhengyun Jiang; Changqing Xu (IGARSS, 2022)

PFMixer: Point Cloud Frequency Mixing. - Dongrui Liu; Shiyun Liu; Chuanchuan Chen; Zhengyun Jiang; Changqing Xu (IGARSS, 2022)

Self-supervised Point Cloud Registration with Deep Versatile Descriptors. - Dongrui Liu; Chuanchuan Chen; Changqing Xu; Robert C. Qiu; Lei Chu (CoRR, 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)

Towards the Difficulty for a Deep Neural Network to Learn Concepts of Different Complexities. - Dongrui Liu; Huiqi Deng; Xu Cheng 005; Qihan Ren; Kangrui Wang; Quanshi Zhang (NeurIPS, 2023)

Concept-Level Explanation for the Generalization of a DNN. - Huilin Zhou; Hao Zhang 063; Huiqi Deng; Dongrui Liu; Wen Shen 002; Shih-Han Chan; Quanshi Zhang (CoRR, 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., 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., 2023)

Explaining Generalization Power of a DNN Using Interactive Concepts. - Huilin Zhou; Hao Zhang 063; Huiqi Deng; Dongrui Liu; Wen Shen 002; Shih-Han Chan; Quanshi Zhang (AAAI, 2024)

Towards Tracing Trustworthiness Dynamics: Revisiting Pre-training Period of Large Language Models. - Chen Qian 006; Jie Zhang 074; Wei Yao 017; Dongrui Liu; Zhenfei Yin; Yu Qiao 001; Yong Liu 007; Jing Shao (ACL (Findings), 2024)

Identifying Semantic Induction Heads to Understand In-Context Learning. - Jie Ren 018; Qipeng Guo; Hang Yan 001; Dongrui Liu; Quanshi Zhang; Xipeng Qiu; Dahua Lin (ACL (Findings), 2024)

MLP Can Be a Good Transformer Learner. - Sihao Lin; Pumeng Lyu; Dongrui Liu; Tao Tang; Xiaodan Liang; Andy Song; Xiaojun Chang (CVPR, 2024)

Identifying Semantic Induction Heads to Understand In-Context Learning. - Jie Ren 018; Qipeng Guo; Hang Yan 001; Dongrui Liu; Xipeng Qiu; Dahua Lin (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)

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)

Towards the Dynamics of a DNN Learning Symbolic Interactions. - Qihan Ren; Yang Xu; Junpeng Zhang; Yue Xin; Dongrui Liu; Quanshi Zhang (CoRR, 2024)