Dongrui Liu

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 30

Top Topics

Rigid Transformation

Triangular Mesh

Top Venues

Publications

Jie Ren, Qipeng Guo, Hang Yan, Dongrui Liu, Xipeng Qiu, Dahua Lin
Identifying Semantic Induction Heads to Understand In-Context Learning. CoRR (2024)
Sihao Lin, Pumeng Lyu, Dongrui Liu, Tao Tang, Xiaodan Liang, Andy Song, Xiaojun Chang
MLP Can Be A Good Transformer Learner. CoRR (2024)
Dongrui Liu, Daqi Liu, Xueqian Li, Sihao Lin, Hongwei Xie, Bing Wang, Xiaojun Chang, Lei Chu
Self-Supervised Multi-Frame Neural Scene Flow. CoRR (2024)
Huilin Zhou, Hao Zhang, Huiqi Deng, Dongrui Liu, Wen Shen, Shih-Han Chan, Quanshi Zhang
Explaining Generalization Power of a DNN Using Interactive Concepts. AAAI (2024)
Chen Qian, Jie Zhang, Wei Yao, Dongrui Liu, Zhenfei Yin, Yu Qiao, Yong Liu, Jing Shao
Towards Tracing Trustworthiness Dynamics: Revisiting Pre-training Period of Large Language Models. ACL (Findings) (2024)
Jie Ren, Qipeng Guo, Hang Yan, Dongrui Liu, Quanshi Zhang, Xipeng Qiu, Dahua Lin
Identifying Semantic Induction Heads to Understand In-Context Learning. ACL (Findings) (2024)
Chen Qian, Jie Zhang, Wei Yao, Dongrui Liu, Zhenfei Yin, Yu Qiao, Yong Liu, Jing Shao
Towards Tracing Trustworthiness Dynamics: Revisiting Pre-training Period of Large Language Models. CoRR (2024)
Jie Zhang, Dongrui Liu, Chen Qian, Ziyue Gan, Yong Liu, Yu Qiao, Jing Shao
The Better Angels of Machine Personality: How Personality Relates to LLM Safety. CoRR (2024)
Qihan Ren, Yang Xu, Junpeng Zhang, Yue Xin, Dongrui Liu, Quanshi Zhang
Towards the Dynamics of a DNN Learning Symbolic Interactions. CoRR (2024)
Dongrui Liu, Huiqi Deng, Xu Cheng, Qihan Ren, Kangrui Wang, Quanshi Zhang
Towards the Difficulty for a Deep Neural Network to Learn Concepts of Different Complexities. NeurIPS (2023)
Huilin Zhou, Hao Zhang, Huiqi Deng, Dongrui Liu, Wen Shen, Shih-Han Chan, Quanshi Zhang
Concept-Level Explanation for the Generalization of a DNN. CoRR (2023)
Dongrui Liu, Chuanchaun Chen, Changqing Xu, Robert C. Qiu, Lei Chu
Self-Supervised Point Cloud Registration With Deep Versatile Descriptors for Intelligent Driving. IEEE Trans. Intell. Transp. Syst. 24 (9) (2023)
Chuanchuan Chen, Dongrui Liu, Changqing Xu, Trieu-Kien Truong
SAKS: Sampling Adaptive Kernels From Subspace for Point Cloud Graph Convolution. IEEE Trans. Circuits Syst. Video Technol. 33 (10) (2023)
Shiyun Liu, Dongrui Liu, Chuanchuan Chen, Changqing Xu
SGCNN for 3D Point Cloud Classification. ICMLC (2022)
Dongrui Liu, Chuanchuan Chen, Changqing Xu, Robert C. Qiu, Lei Chu
Self-supervised Point Cloud Registration with Deep Versatile Descriptors. CoRR (2022)
Chuanchuan Chen, Dongrui Liu, Changqing Xu
Point Clouds Downsampling Based on Complementary Attention and Contrastive Learning. IGARSS (2022)
Dongrui Liu, Chuanchuan Chen, Changqing Xu, Qi Cai, Lei Chu, Fei Wen, Robert C. Qiu
A Robust and Reliable Point Cloud Recognition Network Under Rigid Transformation. IEEE Trans. Instrum. Meas. 71 (2022)
Dongrui Liu, Shiyun Liu, Chuanchuan Chen, Zhengyun Jiang, Changqing Xu
PFMixer: Point Cloud Frequency Mixing. IGARSS (2022)
Dongrui Liu, Chuanchuan Chen, Shiyun Liu, Zhengyun Jiang, Changqing Xu
PointFP: A Feature-Preserving Point Cloud Sampling. IGARSS (2022)
Wen Shen, Qihan Ren, Dongrui Liu, Quanshi Zhang
Interpreting Representation Quality of DNNs for 3D Point Cloud Processing. NeurIPS (2021)
Chuanchuan Chen, Dongrui Liu, Changqing Xu, Trieu-Kien Truong
GeneCGAN: A conditional generative adversarial network based on genetic tree for point cloud reconstruction. Neurocomputing 462 (2021)
Wen Shen, Qihan Ren, Dongrui Liu, Quanshi Zhang
Interpreting Representation Quality of DNNs for 3D Point Cloud Processing. CoRR (2021)
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
Multi-View Partial (MVP) Point Cloud Challenge 2021 on Completion and Registration: Methods and Results. CoRR (2021)
Lifa Zhu, Dongrui Liu, Changwei Lin, Rui Yan, Francisco Gómez Fernández, Ninghua Yang, Ziyong Feng
Point Cloud Registration using Representative Overlapping Points. CoRR (2021)
Lifa Zhu, Changwei Lin, Dongrui Liu, Xin Li, Francisco Gómez Fernández
Deep Models with Fusion Strategies for MVP Point Cloud Registration. CoRR (2021)
Dongrui Liu, Shaobo Wang, Jie Ren, Kangrui Wang, Sheng Yin, Quanshi Zhang
Trap of Feature Diversity in the Learning of MLPs. CoRR (2021)
Dongrui Liu, Chuanchuan Chen, Changqing Xu, Qi Cai, Lei Chu, Robert Caiming Qiu
A Self Contour-based Rotation and Translation-Invariant Transformation for Point Clouds Recognition. CoRR (2020)
Lei Zheng, Dongrui Liu, Weijiang Liu, Zhaobin Liu, Zhiyang Li, Tiantian Wu
A Data Streaming Algorithm for Detection of Superpoints With Small Memory Consumption. IEEE Commun. Lett. 21 (5) (2017)
Dongrui Liu, Dongsheng Liu, Liping Zhang, Min Hou, Chunhui Wang
基于贝叶斯网络预测克隆代码质量 (Prediction of Code Clone Quality Based on Bayesian Network). 计算机科学 44 (4) (2017)
Dongrui Liu
Cluster analysis algorithm based on key data integration for cloud computing. Int. J. Reason. based Intell. Syst. 9 (3/4) (2017)