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 001; 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 001; 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)

Towards the Dynamics of a DNN Learning Symbolic Interactions. - Qihan Ren; Junpeng Zhang; Yang Xu; Yue Xin; Dongrui Liu; Quanshi Zhang (NeurIPS, 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 013; Xiaojun Chang; Lei Chu (CoRR, 2024)

The Better Angels of Machine Personality: How Personality Relates to LLM Safety. - Jie Zhang 074; Dongrui Liu; Chen Qian 006; Ziyue Gan; Yong Liu 007; Yu Qiao 001; Jing Shao (CoRR, 2024)

Decouple-Then-Merge: Towards Better Training for Diffusion Models. - Qianli Ma; Xuefei Ning; Dongrui Liu; Li Niu; Linfeng Zhang 001 (CoRR, 2024)

Derail Yourself: Multi-turn LLM Jailbreak Attack through Self-discovered Clues. - Qibing Ren; Hao Li 069; Dongrui Liu; Zhanxu Xie; Xiaoya Lu; Yu Qiao 001; Lei Sha; Junchi Yan; Lizhuang Ma; 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)

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 012; Chen Qian 003; Kun Wang 042; Yong Liu 018; Jing Shao; et al. (CoRR, 2024)

VLSBench: Unveiling Visual Leakage in Multimodal Safety. - Xuhao Hu; Dongrui Liu; Hao Li; Xuanjing Huang 001; Jing Shao (ACL (1), 2025)

LED-Merging: Mitigating Safety-Utility Conflicts in Model Merging with Location-Election-Disjoint. - Qianli Ma; Dongrui Liu; Qian Chen; Linfeng Zhang; Jing Shao (ACL (1), 2025)

The Tug of War Within: Mitigating the Fairness-Privacy Conflicts in Large Language Models. - Chen Qian 003; Dongrui Liu; Jie Zhang 012; Yong Liu 018; Jing Shao (ACL (1), 2025)

Cooperative or Competitive? Understanding the Interaction between Attention Heads From A Game Theory Perspective. - Xiaoye Qu; Zengqi Yu; Dongrui Liu; Wei Wei 002; Daizong Liu; Jianfeng Dong; Yu Cheng 001 (ACL (1), 2025)

LLMs know their vulnerabilities: Uncover Safety Gaps through Natural Distribution Shifts. - Qibing Ren; Hao Li 069; Dongrui Liu; Zhanxu Xie; Xiaoya Lu; Yu Qiao 001; Lei Sha; Junchi Yan; Lizhuang Ma; Jing Shao (ACL (1), 2025)

EvoBench: Towards Real-world LLM-Generated Text Detection Benchmarking for Evolving Large Language Models. - Xiao Yu; Yi Yu; Dongrui Liu; Kejiang Chen; Weiming Zhang 001; Nenghai Yu; Jing Shao (ACL (Findings), 2025)

Decouple-Then-Merge: Finetune Diffusion Models as Multi-Task Learning. - Qianli Ma; Xuefei Ning; Dongrui Liu; Li Niu; Linfeng Zhang 001 (CVPR, 2025)

REEF: Representation Encoding Fingerprints for Large Language Models. - Jie Zhang 074; Dongrui Liu; Chen Qian 006; Linfeng Zhang 001; Yong Liu 018; Yu Qiao 001; Jing Shao (ICLR, 2025)

Refining Alignment Framework for Diffusion Models with Intermediate-Step Preference Ranking. - Jie Ren; Yuhang Zhang; Dongrui Liu; Xiaopeng Zhang; Qi Tian (CoRR, 2025)

SEER: Self-Explainability Enhancement of Large Language Models' Representations. - Guanxu Chen; Dongrui Liu; Tao Luo; Jing Shao (CoRR, 2025)

X-Boundary: Establishing Exact Safety Boundary to Shield LLMs from Multi-Turn Jailbreaks without Compromising Usability. - Xiaoya Lu; Dongrui Liu; Yi Yu; Luxin Xu; Jing Shao (CoRR, 2025)

LED-Merging: Mitigating Safety-Utility Conflicts in Model Merging with Location-Election-Disjoint. - Qianli Ma; Dongrui Liu; Chen Qian 006; Linfeng Zhang 001; Jing Shao (CoRR, 2025)

Learning A Zero-shot Occupancy Network from Vision Foundation Models via Self-supervised Adaptation. - Sihao Lin; Daqi Liu; Ruochong Fu; Dongrui Liu; Andy Song; Hongwei Xie; Zhihui Li 001; Bing Wang 013; Xiaojun Chang (CoRR, 2025)

A Survey of Efficient Reasoning for Large Reasoning Models: Language, Multimodality, and Beyond. - Xiaoye Qu; Yafu Li; Zhaochen Su; Weigao Sun; Jianhao Yan; Dongrui Liu; Ganqu Cui; Daizong Liu; Shuxian Liang; Junxian He; Peng Li 030; Wei Wei 002; et al. (CoRR, 2025)

Benchmarking Multimodal Knowledge Conflict for Large Multimodal Models. - Yifan Jia; Kailin Jiang; Yuyang Liang; Qihan Ren; Yi Xin 003; Rui Yang; Fenze Feng; Mingcai Chen; Hengyang Lu; Haozhe Wang 002; Xiaoye Qu; Dongrui Liu; et al. (CoRR, 2025)

Alita: Generalist Agent Enabling Scalable Agentic Reasoning with Minimal Predefinition and Maximal Self-Evolution. - Jiahao Qiu; Xuan Qi; Tongcheng Zhang; Xinzhe Juan; Jiacheng Guo; Yifu Lu; Yimin Wang; Zixin Yao; Qihan Ren; Xun Jiang; Xing Zhou; Dongrui Liu; et al. (CoRR, 2025)

RiOSWorld: Benchmarking the Risk of Multimodal Computer-Use Agents. - Jingyi Yang; Shuai Shao; Dongrui Liu; Jing Shao (CoRR, 2025)

Demystifying Reasoning Dynamics with Mutual Information: Thinking Tokens are Information Peaks in LLM Reasoning. - Chen Qian; Dongrui Liu; Haochen Wen; Zhen Bai; Yong Liu; Jing Shao (CoRR, 2025)

Accelerating Diffusion Large Language Models with SlowFast Sampling: The Three Golden Principles. - Qingyan Wei; Yaojie Zhang; Zhiyuan Liu; Dongrui Liu; Linfeng Zhang (CoRR, 2025)

IS-Bench: Evaluating Interactive Safety of VLM-Driven Embodied Agents in Daily Household Tasks. - Xiaoya Lu; Zeren Chen; Xuhao Hu; Yijin Zhou; Weichen Zhang; Dongrui Liu; Lu Sheng; Jing Shao (CoRR, 2025)

The Devil behind the mask: An emergent safety vulnerability of Diffusion LLMs. - Zichen Wen; Jiashu Qu; Dongrui Liu; Zhiyuan Liu; Ruixi Wu; Yicun Yang; Xiangqi Jin; Haoyun Xu; Xuyang Liu; Weijia Li; Chaochao Lu; Jing Shao; et al. (CoRR, 2025)

Frontier AI Risk Management Framework in Practice: A Risk Analysis Technical Report. - Xiaoyang Chen; Yunhao Chen; Zeren Chen; Zhiyun Chen; Hanyun Cui; Yawen Duan; Jiaxuan Guo; Qi Guo; Xuhao Hu; Hong Huang; Lige Huang; Chunxiao Li; et al. (CoRR, 2025)

SafeWork-R1: Coevolving Safety and Intelligence under the AI-45° Law. - Yicheng Bao; Guanxu Chen; Mingkang Chen; Yunhao Chen; Chiyu Chen; Lingjie Chen; Sirui Chen; Xinquan Chen; Jie Cheng; Yu Cheng 001; Dengke Deng; Yizhuo Ding; et al. (CoRR, 2025)

A Survey of Self-Evolving Agents: On Path to Artificial Super Intelligence. - Huan-ang Gao; Jiayi Geng; Wenyue Hua; Mengkang Hu; Xinzhe Juan; Hongzhang Liu; Shilong Liu; Jiahao Qiu; Xuan Qi; Yiran Wu; Hongru Wang 003; Han Xiao; et al. (CoRR, 2025)

Thinking Inside the Mask: In-Place Prompting in Diffusion LLMs. - Xiangqi Jin; Yuxuan Wang; Yifeng Gao; Zichen Wen; Biqing Qi; Dongrui Liu; Linfeng Zhang (CoRR, 2025)

EVCtrl: Efficient Control Adapter for Visual Generation. - Zixiang Yang; Yue Ma; Yinhan Zhang; Shanhui Mo; Dongrui Liu; Linfeng Zhang (CoRR, 2025)