Ruikun Li

According to our database, Ruikun Li authored at least 16 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Diffusion models for time-series applications: a survey.

Lequan Lin, Zhengkun Li, Ruikun Li, Xuliang Li, Junbin Gao

Frontiers Inf. Technol. Electron. Eng., January, 2024

Artificial Intelligence for Complex Network: Potential, Methodology and Application.

Jingtao Ding, Chang Liu, Yu Zheng, Yunke Zhang, Zihan Yu, Ruikun Li, Hongyi Chen, Jinghua Piao, Huandong Wang, Jiazhen Liu, Yong Li

CoRR, 2024

Predicting Long-term Dynamics of Complex Networks via Identifying Skeleton in Hyperbolic Space.

Ruikun Li, Huandong Wang, Jinghua Piao, Qingmin Liao, Yong Li

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Graph Anomaly Detection with Few Labels: A Data-Centric Approach.

Xiaoxiao Ma, Ruikun Li, Fanzhen Liu, Kaize Ding, Jian Yang, Jia Wu

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Practical Research on Intelligent Evaluation of Generative Learning Resource Quality.

Ruikun Li, Kangkang Li

Proceedings of the 13th International Conference on Educational and Information Technology, 2024

2023

A heuristic method for rapid and automatic radiofrequency ablation planning of liver tumors.

Ruikun Li, Chengyang An, Shuxin Wang, Guisheng Wang, Lifeng Zhao, Yizhou Yu, Lisheng Wang

Int. J. Comput. Assist. Radiol. Surg., December, 2023

Graph structure learning layer and its graph convolution clustering application.

Xiaxia He, Boyue Wang, Ruikun Li, Junbin Gao, Yongli Hu, Guangyu Huo, Baocai Yin

Neural Networks, August, 2023

Learning Slow and Fast System Dynamics via Automatic Separation of Time Scales.

Ruikun Li, Huandong Wang, Yong Li

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Enhanced Loss Function based on Laplacian Eigenmaps for Graph Classification.

Ye Xiao, Ruikun Li, Andrey Vasnev, Junbin Gao

Proceedings of the International Joint Conference on Neural Networks, 2023

Graph Convolution Recurrent Denoising Diffusion Model for Multivariate Probabilistic Temporal Forecasting.

Ruikun Li, Xuliang Li, Shiying Gao, S. T. Boris Choy, Junbin Gao

Proceedings of the Advanced Data Mining and Applications - 19th International Conference, 2023

2022

3D Graph-Connectivity Constrained Network for Hepatic Vessel Segmentation.

Ruikun Li, Yi-Jie Huang, Huai Chen, Xiaoqing Liu, Yizhou Yu, Dahong Qian, Lisheng Wang

IEEE J. Biomed. Health Informatics, 2022

Research and Application of Intelligent Vehicle Cybersecurity Threat Model.

Haitao Zhang, Lei Luo, Ruikun Li, Jiajia Yi, Yun Li, Lirong Chen

Proceedings of the 7th IEEE International Conference on Data Science in Cyberspace, 2022

2021

Graph Denoising with Framelet Regularizer.

Bingxin Zhou, Ruikun Li, Xuebin Zheng, Yu Guang Wang, Junbin Gao

CoRR, 2021

2020

Bladder Wall Segmentation in MRI Images via Deep Learning and Anatomical Constraints.

Ruikun Li, Huai Chen, Guanzhong Gong, Lisheng Wang

Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

2018

A Novel System for Fingerprint Orientation Estimation.

Zhenshen Qu, Junyu Liu, Yang Liu, Qiuyu Guan, Ruikun Li, Yuxin Zhang

Proceedings of the Image and Graphics Technologies and Applications, 2018

PartsNet: A Unified Deep Network for Automotive Engine Precision Parts Defect Detection.

Zhenshen Qu, Jianxiong Shen, Ruikun Li, Junyu Liu, Qiuyu Guan

Proceedings of the 2018 2nd International Conference on Computer Science and Artificial Intelligence, 2018