Biography
Currently, I am working at the Shanghai AI lab as a research fellow. I got Ph.D. degree from Shanghai Jiao Tong University. I was supervised by Prof. Quanshi Zhang at John Hopcroft Center for Computer Science. Before that, I received my B.Sc. degree from Northeastern University.
Research Interests
My research interests include topics in machine learning. Most recently, I am interested in the explainability and safety of multi-modal foundation models and 3D point cloud processing. We are looking for cooperation and research interns to work together on the safety/robustness/explainability of foundation models. Please drop me an email liudongrui@pjlab.org.cn if you are interested.
Publications
Towards Tracing Trustworthiness Dynamics: Revisiting Pre-training Period of Large Language Models [pdf]
Chen Qian, Jie Zhang, Wei Yao, Dongrui Liu, Zhenfei Yin, Yu Qiao, Yong Liu, and Jing Shao
on ArxivIdentifying Semantic Induction Heads to Understand In-Context Learning [pdf]
Jie Ren, Qipeng Guo, Hang Yan, Dongrui Liu, Xipeng Qiu, and Dahua Lin
on ArxivExplaining Generalization Power of a DNN using Interactive Concepts [pdf]
Huilin Zhou, Hao Zhang, Huiqi Deng, Dongrui Liu, Wen Shen, Shih-Han Chan, and Quanshi Zhang
accepted by AAAI 2024Self-Supervised Multi-Frame Neural Scene Flow [pdf]
Dongrui Liu, Daqi Liu, Xueqian Li, Sihao Lin, Bing Wang, Xiaojun Chang, and Lei Chu
on ArxivMLP Can Be A Good Transformer Learner [pdf]
Sihao Lin, Pumeng Lyu, Dongrui Liu, Tao Tang, Xiaodan Liang, Andy Song, and Xiaojun Chang
accepted by CVPR 2024 (oral)Towards the Difficulty for a Deep Neural Network to Learn Concepts of Different Complexities [pdf]
Dongrui Liu, Huiqi Deng, Xu Cheng, Qihan Ren, Kangrui Wang, and Quanshi Zhang
accepted by 37th Conference on Neural Information Processing Systems (NeurIPS 2023)Self-Supervised Point Cloud Registration with Deep Versatile Descriptors for Intelligent Driving [pdf]
Dongrui Liu, Chuanchuan Chen, Changqing Xu, Robert Qiu, and Lei Chu
accepted by IEEE Transactions on Intelligent Transportation Systems (T-ITS)SAKS: Sampling Adaptive Kernels from Subspace for Point Cloud Graph Convolution [pdf]
Chuanchuan Chen, Dongrui Liu, Changqing Xu, and Trieu-Kien Truong
accepted by IEEE Transactions on Circuits and Systems for Video Technology (TCSVT)PFMixer: Point Cloud Frequency Mixing [pdf]
Dongrui Liu, Shiyun Liu, Chuanchuan Chen, Zhengyun Jiang, and Changqing Xu
accepted by IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2022)PointFP: A Feature-Preserving Point Cloud Sampling [pdf]
Dongrui Liu, Chuanchuan Chen, Shiyun Liu, Zhengyun Jiang, and Changqing Xu
accepted by IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2022)Point Clouds Downsampling Based on Complementary Attention and Contrastive Learning [pdf]
Chuanchuan Chen, Dongrui Liu, and Changqing Xu
accepted by IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2022)A Robust and Reliable Point Cloud Recognition Network Under Rigid Transformation [pdf]
Dongrui Liu, Chuanchuan Chen, Changqing Xu, Qi Cai, Lei Chu, Fei Wen, and Robert Qiu
accepted by IEEE Transactions on Instrumentation and Measurement (TIM)Trap of Feature Diversity in the Learning of MLPs [pdf]
Dongrui Liu, Shaobo Wang, Jie Ren, Kangrui Wang, Sheng Yin, Huiqi Deng, and Quanshi Zhang
arxivPoint Cloud Registration using Representative Overlapping Points [pdf]
Lifa Zhu, Dongrui Liu, Changwei Lin, Rui Yan, Francisco Gómez-Fernández, Ninghua Yang, and Ziyong Feng
arxivGeneCGAN: A conditional generative adversarial network based on genetic tree for point cloud reconstruction [pdf]
Chuanchuan Chen, Dongrui Liu, Changqing Xu, and Trieu-Kien Truong
accepted by NeurocomputingInterpreting Representation Quality of DNNs for 3D Point Cloud Processing [pdf]
Wen Shen, Qihan Ren, Dongrui Liu, Quanshi Zhang
accepted by 35th Conference on Neural Information Processing Systems (NeurIPS 2021)
Academic Services
Reviewer: ICML, CVPR, ICCV, ECCV, NeurIPS, ICLR, AISTATS, ICRA, IGARSS, PAMI, IJCV, TKDE