All Optical Service Network for F5G. - Xin Li 041; Yikai Liu; Yongli Zhao; Zhuotong Li; Yajie Li 001; Jie Zhang 006 (ICCT, 2021)

Short-term Electricity Price Forecasting Based on Empirical Mode Decomposition and Deep Neural Network. - Gang Bao 002; Yikai Liu; Rui Xu 017 (Int. J. Artif. Intell. Tools, 2022)

End-to-end service provisioning based on extended segment routing in multi-domain optical networks of F5G. - Xin Li 041; Yikai Liu; Yongli Zhao; Yajie Li 001; Zhuotong Li; Sabidur Rahman; Jie Zhang 006 (JOCN, 2022)

Research on Potholes Detection Based on Improved Mask RCNN Algorithms. - Chuan-Bi Lin; Yikai Liu (iCAST, 2023)

EASE: An Easily-Customized Annotation System Powered by Efficiency Enhancement Mechanisms. - Naihao Deng; Yikai Liu; Mingye Chen; Winston Wu; Siyang Liu 003; Yulong Chen 001; Yue Zhang 004; Rada Mihalcea (CoRR, 2023)

Backdiff: a diffusion model for generalized transferable protein backmapping. - Yikai Liu; Ming Chen; Guang Lin 001 (CoRR, 2023)

Unbiasing Enhanced Sampling on a High-dimensional Free Energy Surface with Deep Generative Model. - Yikai Liu; Tushar K. Ghosh; Guang Lin 001; Ming Chen (CoRR, 2023)

A Few-Shot-Based Model-Agnostic Meta-Learning for Intrusion Detection in Security of Internet of Things. - Chaomeng Lu; Xufeng Wang; Aimin Yang 001; Yikai Liu; Ziao Dong (IEEE Internet Things J., 2023)

Overview of Internet of Medical Things Security Based on Blockchain Access Control. - Yikai Liu; Fenglan Ju; Qunwei Zhang; Meng Zhang; Zezhong Ma; Mingduo Li; Aimin Yang; Fengchun Liu (J. Database Manag., 2023)

A DeepFM-Based Non-Parametric Model Enabled Big Data Platform for Predicting Passenger Car Sales in Sustainable Way. - Weixing Liu; Zunqian Zhang; Yunjie Bai; Yikai Liu; Aimin Yang 001; Jie Li 059 (IEEE Trans. Intell. Transp. Syst., 2023)

TOP-Nav: Legged Navigation Integrating Terrain, Obstacle and Proprioception Estimation. - Junli Ren; Yikai Liu; Yingru Dai; Junfeng Long; Guijin Wang (CoRL, 2024)

TOP-Nav: Legged Navigation Integrating Terrain, Obstacle and Proprioception Estimation. - Junli Ren; Yikai Liu; Yingru Dai; Guijin Wang (CoRR, 2024)

A Network Security Situation Prediction for Consumer Data in the Internet of Things Using Variational Mode Decomposition (VMD) and Fused CNN-BiLSTM-Attention. - Aimin Yang 001; Baoshan Xie; Yikai Liu; Liya Wang; Jie Li 059 (IEEE Trans. Consumer Electron., 2024)

A GAN-Based Ensemble Model for Predicting the Demand of Shared Bikes in 5G Networks. - Zunqian Zhang; Liya Wang; Yikai Liu; Hao Li; Jie Li 059; Aimin Yang 001 (IEEE Trans. Intell. Transp. Syst., 2024)

Clock-Wirelength-Driven Detailed Placement. - Ziang Ge; Yikai Liu; Jindong Zhou; Pingqiang Zhou (ACM Great Lakes Symposium on VLSI, 2025)

Automatic prompt design via particle swarm optimization driven LLM for efficient medical information extraction. - Tian Zhang; Lianbo Ma; Shi Cheng; Yikai Liu; Nan Li; Hongjiang Wang (Swarm Evol. Comput., 2025)

Recursive 3-D Phase Unwrapping for Reliable Deformation Anomaly Detection in Multitemporal SAR Interferometry. - Fengming Hu; Siyu Cheng; Yikai Liu; Feng Xu 001 (IEEE Trans. Geosci. Remote. Sens., 2025)

A frequency shifting and filtering algorithm for online harmonic detection in active power filters. - Yikai Liu; Dongcheng Zhou; Huaixun Zhang; Chongying Xu; Wenxu Yan; Wenyuan Wang (Signal Image Video Process., 2025)