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ORCIDRuikun Li
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2020 – today
- 2024
[j5]Lequan Lin
, Zhengkun Li, Ruikun Li, Xuliang Li, Junbin Gao:
Diffusion models for time-series applications: a survey. Frontiers Inf. Technol. Electron. Eng. 25(1): 19-41 (2024)- [j4]Hao Ouyang, Ruikun Li, Qiu Wang, Yue Liu, Libo Qiu, Shaobo Qu, Huafeng Liu:
Tilt-Induced Noise Improvement of a Nano-g MEMS Accelerometer for Lunar Seismograph With Omnidirectional Deployment. IEEE Trans. Instrum. Meas. 73: 1-10 (2024) - [c10]Ruikun Li, Kangkang Li:
Practical Research on Intelligent Evaluation of Generative Learning Resource Quality. ICEIT 2024: 57-60 - [c9]Ruikun Li, Huandong Wang, Jinghua Piao, Qingmin Liao, Yong Li:
Predicting Long-term Dynamics of Complex Networks via Identifying Skeleton in Hyperbolic Space. KDD 2024: 1655-1666 - [c8]Xiaoxiao Ma, Ruikun Li, Fanzhen Liu, Kaize Ding, Jian Yang, Jia Wu:
Graph Anomaly Detection with Few Labels: A Data-Centric Approach. KDD 2024: 2153-2164 - [i5]Jingtao Ding, Chang Liu, Yu Zheng, Yunke Zhang, Zihan Yu, Ruikun Li, Hongyi Chen, Jinghua Piao, Huandong Wang, Jiazhen Liu, Yong Li:
Artificial Intelligence for Complex Network: Potential, Methodology and Application. CoRR abs/2402.16887 (2024) - [i4]Ruikun Li, Huandong Wang, Jinghua Piao, Qingmin Liao, Yong Li:
Predicting Long-term Dynamics of Complex Networks via Identifying Skeleton in Hyperbolic Space. CoRR abs/2408.09845 (2024) - 2023
- [j3]Ruikun Li, Chengyang An, Shuxin Wang, Guisheng Wang, Lifeng Zhao, Yizhou Yu, Lisheng Wang:
A heuristic method for rapid and automatic radiofrequency ablation planning of liver tumors. Int. J. Comput. Assist. Radiol. Surg. 18(12): 2213-2221 (2023) - [j2]Xiaxia He, Boyue Wang, Ruikun Li, Junbin Gao, Yongli Hu, Guangyu Huo, Baocai Yin:
Graph structure learning layer and its graph convolution clustering application. Neural Networks 165: 1010-1020 (2023) - [c7]Ruikun Li, Xuliang Li, Shiying Gao, S. T. Boris Choy, Junbin Gao:
Graph Convolution Recurrent Denoising Diffusion Model for Multivariate Probabilistic Temporal Forecasting. ADMA (1) 2023: 661-676 - [c6]Ye Xiao, Ruikun Li, Andrey Vasnev, Junbin Gao:
Enhanced Loss Function based on Laplacian Eigenmaps for Graph Classification. IJCNN 2023: 1-8 - [c5]Ruikun Li, Huandong Wang, Yong Li:
Learning Slow and Fast System Dynamics via Automatic Separation of Time Scales. KDD 2023: 4380-4390 - [i3]Lequan Lin, Zhengkun Li, Ruikun Li, Xuliang Li, Junbin Gao:
Diffusion Models for Time Series Applications: A Survey. CoRR abs/2305.00624 (2023) - 2022
- [j1]Ruikun Li, Yi-Jie Huang, Huai Chen, Xiaoqing Liu, Yizhou Yu, Dahong Qian, Lisheng Wang:
3D Graph-Connectivity Constrained Network for Hepatic Vessel Segmentation. IEEE J. Biomed. Health Informatics 26(3): 1251-1262 (2022) - [c4]Haitao Zhang, Lei Luo, Ruikun Li, Jiajia Yi, Yun Li, Lirong Chen:
Research and Application of Intelligent Vehicle Cybersecurity Threat Model. DSC 2022: 102-109 - 2021
- [i2]Bingxin Zhou, Ruikun Li, Xuebin Zheng, Yu Guang Wang, Junbin Gao:
Graph Denoising with Framelet Regularizer. CoRR abs/2111.03264 (2021) - 2020
- [c3]Ruikun Li, Huai Chen, Guanzhong Gong, Lisheng Wang:
Bladder Wall Segmentation in MRI Images via Deep Learning and Anatomical Constraints. EMBC 2020: 1629-1632
2010 – 2019
- 2018
- [c2]Zhenshen Qu, Jianxiong Shen, Ruikun Li, Junyu Liu, Qiuyu Guan:
PartsNet: A Unified Deep Network for Automotive Engine Precision Parts Defect Detection. CSAI/ICIMT 2018: 594-599 - [c1]Zhenshen Qu, Junyu Liu, Yang Liu, Qiuyu Guan, Ruikun Li, Yuxin Zhang:
A Novel System for Fingerprint Orientation Estimation. IGTA 2018: 281-291 - [i1]Zhenshen Qu, Jianxiong Shen, Ruikun Li, Junyu Liu, Qiuyu Guan:
PartsNet: A Unified Deep Network for Automotive Engine Precision Parts Defect Detection. CoRR abs/1810.12061 (2018)
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