Study and Comparison of the RTHAL-Based and ADEOS-Based RTAI Real-time Solutions for Linux. - Guoyin Zhang; Luyuan Chen; Aihong Yao (IMSCCS (2), 2006)

Identifying Top-K Important Nodes Based on Probabilistic-Jumping Random Walk in Complex Networks. - Hui Yu 011; Luyuan Chen; Xi Cao; Zun Liu; Yongjun Li (COMPLEX NETWORKS, 2017)

A new failure mode and effects analysis model using Dempster-Shafer evidence theory and grey relational projection method. - Luyuan Chen; Yong Deng 001 (Eng. Appl. Artif. Intell., 2018)

An analysis of performance evolution of Linux's core operations. - Xiang (Jenny) Ren; Kirk Rodrigues; Luyuan Chen; Juan Camilo Vega; Michael Stumm; Ding Yuan 004 (SOSP, 2019)

Emergency Alternative Selection Based on an E-IFWA Approach. - Luyuan Chen; Hui Yu 011 (IEEE Access, 2019)

A novel evidential FMEA method by integrating fuzzy belief structure and grey relational projection method. - Zhen Li; Luyuan Chen (Eng. Appl. Artif. Intell., 2019)

Emergency alternative evaluation under group decision makers: a new method based on entropy weight and DEMATEL. - Luyuan Chen; Zhen Li; Xinyang Deng (Int. J. Syst. Sci., 2020)

Probability transformation of mass function: A weighted network method based on the ordered visibility graph. - Luyuan Chen; Yong Deng 001; Kang Hao Cheong (Eng. Appl. Artif. Intell., 2021)

A three-way density peak clustering method based on evidence theory. - Hui Yu 011; Luyuan Chen; Jingtao Yao 001 (Knowl. Based Syst., 2021)

An improved evidential Markov decision making model. - Luyuan Chen; Yong Deng 001 (Appl. Intell., 2022)

Temporal RPN Learning for Weakly-Supervised Temporal Action Localization. - Jing Huang; Ming Kong; Luyuan Chen; Tian Liang; Qiang Zhu (ACML, 2023)

A New Entropy-Based Uncertainty Measure for Rough Set. - Luyuan Chen; Yong Deng 001 (FSDM, 2023)

Permutation Jensen-Shannon divergence for Random Permutation Set. - Luyuan Chen; Yong Deng 001; Kang Hao Cheong (Eng. Appl. Artif. Intell., 2023)

The Distance of Random Permutation Set. - Luyuan Chen; Yong Deng 001; Kang Hao Cheong (Inf. Sci., 2023)

A new probability transformation approach of mass function. - Luyuan Chen; Yong Deng 001 (Soft Comput., 2023)

GDTRSET: a generalized decision-theoretic rough sets based on evidence theory. - Luyuan Chen; Yong Deng 001 (Artif. Intell. Rev., 2023)

Querying as Prompt: Parameter-Efficient Learning for Multimodal Language Model. - Tian Liang; Jing Huang; Ming Kong; Luyuan Chen; Qiang Zhu (CVPR, 2024)

Probablistic Restoration with Adaptive Noise Sampling for 3D Human Pose Estimation. - Xianzhou Zeng; Hao Qin; Ming Kong; Luyuan Chen; Qiang Zhu (ICME, 2024)

MS-DETR: Exploiting Modality Synergy for Moment Retrieval and Highlight Detection. - Luyuan Chen; Jing Huang; Ming Kong; Tian Liang; Qiang Zhu; Jianwu Wu (PRCV (10), 2024)

MHBench: Demystifying Motion Hallucination in VideoLLMs. - Ming Kong; Xianzhou Zeng; Luyuan Chen; Yadong Li; Bo Yan; Qiang Zhu (AAAI, 2025)

MoLE: Decoding by Mixture of Layer Experts Alleviates Hallucination in Large Vision-Language Models. - Tian Liang; Yuetian Du; Jing Huang; Ming Kong; Luyuan Chen; Yadong Li; Siye Chen; Qiang Zhu (AAAI, 2025)

Analysis of the hemodynamic impact of coronary plaque morphology in mild coronary artery stenosis. - Luyuan Chen; Haoyao Cao; Yiming Li; Mao Chen 008; Tinghui Zheng (Comput. Methods Programs Biomed., 2025)

OCCM-RPS: Ordered credal C-means clustering based on random permutation set. - Luyuan Chen; Pierpaolo D'Urso; Yong Deng (Inf. Sci., 2025)

Progressive semantic learning for unsupervised skeleton-based action recognition. - Hao Qin; Luyuan Chen; Ming Kong; Zhuoran Zhao; Xianzhou Zeng; Mengxu Lu; Qiang Zhu (Mach. Learn., 2025)

Semantic-aware contrastive learning via multi-prompt alignment. - Zhuoran Zhao; Hao Qin; Ming Kong; Luyuan Chen; Di Xie; Jiang Zhu; Qiang Zhu (Mach. Learn., 2025)

Distilling Multi-view Diffusion Models into 3D Generators. - Hao Qin; Luyuan Chen; Ming Kong; Mengxu Lu; Qiang Zhu (CoRR, 2025)