A simulated annealing algorithm with a new neighborhood structure for the timetabling problem. - Yongkai Liu; Defu Zhang; Stephen C. H. Leung (GEC Summit, 2009)

A simulated annealing with a new neighborhood structure based algorithm for high school timetabling problems. - Defu Zhang; Yongkai Liu; Rym M'Hallah; Stephen C. H. Leung (Eur. J. Oper. Res., 2010)

A clique-based algorithm for constructing feasible timetables. - Yongkai Liu; Defu Zhang; Francis Y. L. Chin (Optim. Methods Softw., 2011)

Haustral loop extraction for CT colonography using geodesics. - Yongkai Liu; Chaijie Duan; Jerome Zhengrong Liang; Jing Hu; Hongbing Lu; Mingyue Luo (Int. J. Comput. Assist. Radiol. Surg., 2017)

Automatic Prostate Zonal Segmentation Using Fully Convolutional Network With Feature Pyramid Attention. - Yongkai Liu; Kyung Hyun Sung; Guang Yang 006; Sohrab Afshari Mirak; Melina Hosseiny; Afshin Azadikhah; Xinran Zhong; Robert E. Reiter; Yeejin Lee; Steven S. Raman (IEEE Access, 2019)

Digital Sliding Mode Control via a Novel Reaching Law and Application in Shipborne Electro-Optical Systems. - Jianqiang Zhang; Yongkai Liu; Fengjing Zhang; Shijie Gao; Chengshan Han (IEEE Access, 2019)

Exploring Uncertainty Measures in Bayesian Deep Attentive Neural Networks for Prostate Zonal Segmentation. - Yongkai Liu; Guang Yang 006; Melina Hosseiny; Afshin Azadikhah; Sohrab Afshari Mirak; Qi Miao; Steven S. Raman; Kyung Hyun Sung (IEEE Access, 2020)

3D PBV-Net: An automated prostate MRI data segmentation method. - Yao Jin; Guang Yang 006; Ying Fang; Ruipeng Li; Xiaomei Xu; Yongkai Liu; Xiaobo Lai (Comput. Biol. Medicine, 2021)

ME-Net: Multi-encoder net framework for brain tumor segmentation. - Wenbo Zhang; Guang Yang 006; He Huang; Weiji Yang; Xiaomei Xu; Yongkai Liu; Xiaobo Lai (Int. J. Imaging Syst. Technol., 2021)

UAV Swarm Type Recognition Algorithm Based on Dual-Domain Fusion Features and Feature Selection. - Shuheng Zhang; Ruping Zhai; Yongkai Liu (ICCT, 2022)

ME-Net: Multi-Encoder Net Framework for Brain Tumor Segmentation. - Wenbo Zhang; Guang Yang; He Huang; Weiji Yang; Xiaomei Xu; Yongkai Liu; Xiaobo Lai (CoRR, 2022)

Decentralized Coverage Path Planning with Reinforcement Learning and Dual Guidance. - Yongkai Liu; Jiawei Hu; Wei Dong (CoRR, 2022)

Air Defense Deployment of Anti-reconnaissance Based on Immune Optimization Algorithm with Nested Double Particle Swarm. - Yexin Song; Yanjie Wu; Chunsheng Gao; Yongkai Liu (ICAI (2), 2023)

Random Expert Sampling for Deep Learning Segmentation of Acute Ischemic Stroke on Non-contrast CT. - Sophie Ostmeier; Brian Axelrod; Benjamin Pulli; Benjamin F. J. Verhaaren; Abdelkader Mahammedi; Yongkai Liu; Christian Federau; Greg Zaharchuk; Jeremy J. Heit (CoRR, 2023)

Bayesian Interference Based Cooperative Spectrum Sensing Under Mixed Attack. - Yongkai Liu; Abdul Hayee Shaikh (ICEIC, 2024)

Modeling and Statistical Characterization Analysis of Wideband Non-Stationary Channel for UAV Swarm Communication. - Yunhang Lin; Xiaoyu Dang; Dan Fei; Mengyao Sun; Chaoyi Wang; Yongkai Liu (IEICE Trans. Commun., 2025)