Yikai Liu

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 13

Top Topics

Empirical Mode Decomposition

Hilbert Huang Transform

Top Venues

IEEE Trans. Intell. Transp. Syst.

J. Database Manag.

Publications

Zunqian Zhang, Liya Wang, Yikai Liu, Hao Li, Jie Li, Aimin Yang
A GAN-Based Ensemble Model for Predicting the Demand of Shared Bikes in 5G Networks. IEEE Trans. Intell. Transp. Syst. 25 (3) (2024)
Aimin Yang, Baoshan Xie, Yikai Liu, Liya Wang, Jie Li
A Network Security Situation Prediction for Consumer Data in the Internet of Things Using Variational Mode Decomposition (VMD) and Fused CNN-BiLSTM-Attention. IEEE Trans. Consumer Electron. 70 (1) (2024)
Junli Ren, Yikai Liu, Yingru Dai, Guijin Wang
TOP-Nav: Legged Navigation Integrating Terrain, Obstacle and Proprioception Estimation. CoRR (2024)
Yikai Liu, Fenglan Ju, Qunwei Zhang, Meng Zhang, Zezhong Ma, Mingduo Li, Aimin Yang, Fengchun Liu
Overview of Internet of Medical Things Security Based on Blockchain Access Control. J. Database Manag. 34 (3) (2023)
Yikai Liu, Tushar K. Ghosh, Guang Lin, Ming Chen
Unbiasing Enhanced Sampling on a High-dimensional Free Energy Surface with Deep Generative Model. CoRR (2023)
Chuan-Bi Lin, Yikai Liu
Research on Potholes Detection Based on Improved Mask RCNN Algorithms. iCAST (2023)
Weixing Liu, Zunqian Zhang, Yunjie Bai, Yikai Liu, Ai-Min Yang, Jie Li
A DeepFM-Based Non-Parametric Model Enabled Big Data Platform for Predicting Passenger Car Sales in Sustainable Way. IEEE Trans. Intell. Transp. Syst. 24 (12) (2023)
Naihao Deng, Yikai Liu, Mingye Chen, Winston Wu, Siyang Liu, Yulong Chen, Yue Zhang, Rada Mihalcea
EASE: An Easily-Customized Annotation System Powered by Efficiency Enhancement Mechanisms. CoRR (2023)
Chaomeng Lu, Xufeng Wang, Ai-Min Yang, Yikai Liu, Ziao Dong
A Few-Shot-Based Model-Agnostic Meta-Learning for Intrusion Detection in Security of Internet of Things. IEEE Internet Things J. 10 (24) (2023)
Yikai Liu, Ming Chen, Guang Lin
Backdiff: a diffusion model for generalized transferable protein backmapping. CoRR (2023)
Gang Bao, Yikai Liu, Rui Xu
Short-term Electricity Price Forecasting Based on Empirical Mode Decomposition and Deep Neural Network. Int. J. Artif. Intell. Tools 31 (6) (2022)
Xin Li, Yikai Liu, Yongli Zhao, Yajie Li, Zhuotong Li, Sabidur Rahman, Jie Zhang
End-to-end service provisioning based on extended segment routing in multi-domain optical networks of F5G. JOCN 14 (7) (2022)
Xin Li, Yikai Liu, Yongli Zhao, Zhuotong Li, Yajie Li, Jie Zhang
All Optical Service Network for F5G. ICCT (2021)