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2020 – today
- 2025
[c12]Jie Zhang, Dongrui Liu, Chen Qian, Linfeng Zhang, Yong Liu, Yu Qiao, Jing Shao:
REEF: Representation Encoding Fingerprints for Large Language Models. ICLR 2025- [i26]Jie Ren, Yuhang Zhang, Dongrui Liu, Xiaopeng Zhang, Qi Tian:
Refining Alignment Framework for Diffusion Models with Intermediate-Step Preference Ranking. CoRR abs/2502.01667 (2025) - [i25]Guanxu Chen, Dongrui Liu, Tao Luo, Jing Shao:
SEER: Self-Explainability Enhancement of Large Language Models' Representations. CoRR abs/2502.05242 (2025) - [i24]Xiaoya Lu, Dongrui Liu, Yi Yu, Luxin Xu, Jing Shao:
X-Boundary: Establishing Exact Safety Boundary to Shield LLMs from Multi-Turn Jailbreaks without Compromising Usability. CoRR abs/2502.09990 (2025) - [i23]Qianli Ma, Dongrui Liu, Chen Qian, Linfeng Zhang
, Jing Shao:
LED-Merging: Mitigating Safety-Utility Conflicts in Model Merging with Location-Election-Disjoint. CoRR abs/2502.16770 (2025) - [i22]Sihao Lin, Daqi Liu, Ruochong Fu, Dongrui Liu, Andy Song, Hongwei Xie, Zhihui Li, Bing Wang, Xiaojun Chang:
Learning A Zero-shot Occupancy Network from Vision Foundation Models via Self-supervised Adaptation. CoRR abs/2503.07125 (2025) - [i21]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:
A Survey of Efficient Reasoning for Large Reasoning Models: Language, Multimodality, and Beyond. CoRR abs/2503.21614 (2025) - 2024
- [c11]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: 17105-17113 - [c10]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: 4864-4888 - [c9]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: 6916-6932 - [c8]Sihao Lin, Pumeng Lyu, Dongrui Liu, Tao Tang, Xiaodan Liang, Andy Song, Xiaojun Chang:
MLP Can Be a Good Transformer Learner. CVPR 2024: 19489-19498 - [c7]Qihan Ren, Junpeng Zhang, Yang Xu, Yue Xin, Dongrui Liu, Quanshi Zhang:
Towards the Dynamics of a DNN Learning Symbolic Interactions. NeurIPS 2024 - [i20]Jie Ren, Qipeng Guo, Hang Yan, Dongrui Liu, Xipeng Qiu, Dahua Lin:
Identifying Semantic Induction Heads to Understand In-Context Learning. CoRR abs/2402.13055 (2024) - [i19]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 abs/2402.19465 (2024) - [i18]Dongrui Liu, Daqi Liu, Xueqian Li, Sihao Lin, Hongwei Xie, Bing Wang, Xiaojun Chang, Lei Chu:
Self-Supervised Multi-Frame Neural Scene Flow. CoRR abs/2403.16116 (2024) - [i17]Sihao Lin, Pumeng Lyu, Dongrui Liu, Tao Tang, Xiaodan Liang, Andy Song, Xiaojun Chang:
MLP Can Be A Good Transformer Learner. CoRR abs/2404.05657 (2024) - [i16]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 abs/2407.12344 (2024) - [i15]Qihan Ren, Yang Xu, Junpeng Zhang, Yue Xin, Dongrui Liu, Quanshi Zhang:
Towards the Dynamics of a DNN Learning Symbolic Interactions. CoRR abs/2407.19198 (2024) - [i14]Qianli Ma, Xuefei Ning, Dongrui Liu, Li Niu, Linfeng Zhang:
Decouple-Then-Merge: Towards Better Training for Diffusion Models. CoRR abs/2410.06664 (2024) - [i13]Qibing Ren, Hao Li, Dongrui Liu, Zhanxu Xie, Xiaoya Lu, Yu Qiao, Lei Sha, Junchi Yan, Lizhuang Ma, Jing Shao:
Derail Yourself: Multi-turn LLM Jailbreak Attack through Self-discovered Clues. CoRR abs/2410.10700 (2024) - [i12]Jie Zhang, Dongrui Liu, Chen Qian, Linfeng Zhang, Yong Liu, Yu Qiao, Jing Shao:
REEF: Representation Encoding Fingerprints for Large Language Models. CoRR abs/2410.14273 (2024) - [i11]Chen Qian, Dongrui Liu, Jie Zhang, Yong Liu, Jing Shao:
DEAN: Deactivating the Coupled Neurons to Mitigate Fairness-Privacy Conflicts in Large Language Models. CoRR abs/2410.16672 (2024) - [i10]Xuhao Hu, Dongrui Liu, Hao Li, Xuanjing Huang, Jing Shao:
VLSBench: Unveiling Visual Leakage in Multimodal Safety. CoRR abs/2411.19939 (2024) - [i9]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:
Explainable and Interpretable Multimodal Large Language Models: A Comprehensive Survey. CoRR abs/2412.02104 (2024) - 2023
- [j7]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): 6013-6025 (2023) - [j6]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): 9767-9779 (2023) - [c6]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 - [i8]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 abs/2302.13091 (2023) - 2022
- [j5]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: 1-13 (2022) - [c5]Shiyun Liu, Dongrui Liu, Chuanchuan Chen, Changqing Xu:
SGCNN for 3D Point Cloud Classification. ICMLC 2022: 419-423 - [c4]Dongrui Liu, Chuanchuan Chen, Shiyun Liu, Zhengyun Jiang, Changqing Xu:
PointFP: A Feature-Preserving Point Cloud Sampling. IGARSS 2022: 1864-1867 - [c3]Dongrui Liu, Shiyun Liu, Chuanchuan Chen, Zhengyun Jiang, Changqing Xu:
PFMixer: Point Cloud Frequency Mixing. IGARSS 2022: 1868-1871 - [c2]Chuanchuan Chen, Dongrui Liu, Changqing Xu:
Point Clouds Downsampling Based on Complementary Attention and Contrastive Learning. IGARSS 2022: 1872-1875 - [i7]Dongrui Liu, Chuanchuan Chen, Changqing Xu, Robert C. Qiu, Lei Chu:
Self-supervised Point Cloud Registration with Deep Versatile Descriptors. CoRR abs/2201.10034 (2022) - 2021
- [j4]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: 46-58 (2021) - [c1]Wen Shen, Qihan Ren, Dongrui Liu, Quanshi Zhang:
Interpreting Representation Quality of DNNs for 3D Point Cloud Processing. NeurIPS 2021: 8857-8870 - [i6]Lifa Zhu, Dongrui Liu, Changwei Lin, Rui Yan, Francisco Gómez Fernández, Ninghua Yang, Ziyong Feng:
Point Cloud Registration using Representative Overlapping Points. CoRR abs/2107.02583 (2021) - [i5]Lifa Zhu, Changwei Lin, Dongrui Liu, Xin Li, Francisco Gómez Fernández:
Deep Models with Fusion Strategies for MVP Point Cloud Registration. CoRR abs/2110.09129 (2021) - [i4]Wen Shen, Qihan Ren, Dongrui Liu, Quanshi Zhang:
Interpreting Representation Quality of DNNs for 3D Point Cloud Processing. CoRR abs/2111.03549 (2021) - [i3]Dongrui Liu, Shaobo Wang, Jie Ren, Kangrui Wang, Sheng Yin, Quanshi Zhang:
Trap of Feature Diversity in the Learning of MLPs. CoRR abs/2112.00980 (2021) - [i2]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 abs/2112.12053 (2021) - 2020
- [i1]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 abs/2009.06903 (2020)
2010 – 2019
- 2017
- [j3]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): 1067-1070 (2017) - [j2]Dongrui Liu:
Cluster analysis algorithm based on key data integration for cloud computing. Int. J. Reason. based Intell. Syst. 9(3/4): 123-129 (2017) - [j1]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): 165-168 (2017)
Coauthor Index
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