Optimization of warship degaussing decision based on poly-population particle swarm algorithm. - Hongda Liu; Zhongli Ma (IEEE Congress on Evolutionary Computation, 2007)

Pipeline defect detection and sizing based on MFL data using immune RBF neural networks. - Zhongli Ma; Hongda Liu (IEEE Congress on Evolutionary Computation, 2007)

The effects of fibers on the electrical contacts. - Yilin Zhou; Hongda Liu; Wenchao Lv (EMEIT, 2011)

FV-Net: learning a finger-vein feature representation based on a CNN. - Hui Hu; Wenxiong Kang; Yuting Lu; Yuxun Fang; Hongda Liu; Junhong Zhao; Feiqi Deng (ICPR, 2018)

Study of a Full-View 3D Finger Vein Verification Technique. - Wenxiong Kang; Hongda Liu; Wei Luo; Feiqi Deng (IEEE Trans. Inf. Forensics Secur., 2020)

Automatic Recognition of Traffic Signs Based on Visual Inspection. - Shouhui He; Lei Chen; Shaoyun Zhang; Zhuangxian Guo; Pengjie Sun; Hong Liu; Hongda Liu (IEEE Access, 2021)

An Improved Cuckoo Search Algorithm of Boundary Search and Variable Step-Size for Gravitational Reference Sensor Parameters Identification. - Dequan Li; Hongda Liu; Dong Wang; Zhi Wang 027; Xingguo Sun (IEEE Access, 2021)

Research on Behavior Incentives of Prefabricated Building Component Manufacturers. - Pinbo Yao; Hongda Liu (Inf., 2021)

A Study on the Factors Influencing Users' Online Knowledge Paying-Behavior Based on the UTAUT Model. - Liying Yu; Zixuan Chen; Pinbo Yao; Hongda Liu (J. Theor. Appl. Electron. Commer. Res., 2021)

Research Jungle on Online Consumer Behaviour in the Context of Web 2.0: Traceability, Frontiers and Perspectives in the Post-Pandemic Era. - Xi Zhang; Hongda Liu; Pinbo Yao (J. Theor. Appl. Electron. Commer. Res., 2021)

Research on the Coupling between the Double Cycle Mode and Technological Innovation Systems: Empirical Evidence from Data Envelopment Analysis and Coupled Coordination. - Shuang Lv; Shaodong Zhao; Hongda Liu (Syst., 2022)

Data-Model Intergrowth Makes Better Time Series Prediction. - Lixian Chen; Hongda Liu; Chongqi Sun; Yi Wang 154; Yongheng Hu (NCAA (2), 2023)

Metallogenic Prediction of Magnetite in the Pandian Area at the Northwest Margin of Luxi Uplift, China: Constraints of Wide-Field Electromagnetic Data. - Jianxin Liu; Keke Zhou; Hongda Liu; Rongwen Guo; Yunqi Zhu; Zihao Zhang; Rong Liu (Remote. Sens., 2023)

Pluggable Style Representation Learning for Multi-style Transfer. - Hongda Liu; Longguang Wang; Weijun Guan; Ye Zhang; Yulan Guo (ACCV (6), 2024)

NTIRE 2024 Challenge on Stereo Image Super-Resolution: Methods and Results. - Longguang Wang; Yulan Guo; Juncheng Li 003; Hongda Liu; Yang Zhao; Yingqian Wang 002; Zhi Jin; Shuhang Gu; Radu Timofte (CVPR Workshops, 2024)

Preserving Full Degradation Details for Blind Image Super-Resolution. - Hongda Liu; Longguang Wang; Ye Zhang; Kaiwen Xue; Shunbo Zhou; Yulan Guo (CoRR, 2024)

Near-time optimal feedrate planning for the NURBS curve considering interpolation error constraints. - Yonghao Guo; Wentie Niu; Jianping Zhou; Hongda Liu (Robotics Comput. Integr. Manuf., 2024)

Revealing Key Details to See Differences: A Novel Prototypical Perspective for Skeleton-based Action Recognition. - Hongda Liu; Yunfan Liu 001; Min Ren; Hao Wang; Yunlong Wang 003; Zhenan Sun (CVPR, 2025)

SaMam: Style-aware State Space Model for Arbitrary Image Style Transfer. - Hongda Liu; Longguang Wang; Ye Zhang; Ziru Yu; Yulan Guo (CVPR, 2025)

Physics-informed deep learning for virtual rail train trajectory following control. - Yuanjin Ji; Youpei Huang; Maozhenning Yang; Han Leng; Lihui Ren; Hongda Liu; Yuejian Chen (Reliab. Eng. Syst. Saf., 2025)

Deploying Large AI Models on Resource-Limited Devices with Split Federated Learning. - Xianke Qiang; Hongda Liu; Xinran Zhang; Zheng Chang 001; Ying-Chang Liang (CoRR, 2025)

Balanced Representation Learning for Long-tailed Skeleton-based Action Recognition. - Hongda Liu; Yunlong Wang 003; Min Ren; Junxing Hu; Zhengquan Luo; Guangqi Hou; Zhenan Sun (Mach. Intell. Res., 2025)