Research on the accessibility model in transportation. - Lianyuan Cheng; Wenzhi Liu; Gang Zong (EMEIT, 2011)

Interactive Mobile Campus Based on Position Perception. - Wenzhi Liu; Zhaobin Liu; Yan Zhang (ISCID (1), 2011)

A prototype of healthcare big data processing system based on Spark. - Wenzhi Liu; Qi Li; Yunpeng Cai; Ye Li 002; Xiaoyan Li (BMEI, 2015)

Constructing a Measurement Method of Differences in Group Preferences Based on Relative Entropy. - Shiyu Zhang; Wenzhi Liu; Qin He; Xuguang Hao (Entropy, 2017)

Adaptive Coupling Model of Time Synchronization and Topology Control in Large-Scale Wireless Sensor Networks. - Zhaobin Liu; Wenzhi Liu; Qiang Ma 007; Gang Liu; Ligang Fang (BigCom, 2018)

Access Control Model Based on Time Synchronization Trust in Wireless Sensor Networks. - Zhaobin Liu; Qiang Ma 007; Wenzhi Liu; Victor S. Sheng; Liang Zhang; Gang Liu (Sensors, 2018)

Security cooperation model based on topology control and time synchronization for wireless sensor networks. - Zhaobin Liu; Wenzhi Liu; Qiang Ma 007; Gang Liu; Liang Zhang; Ligang Fang; Victor S. Sheng (J. Commun. Networks, 2019)

Modeling and Fuzzy Decoupling Control of an Underwater Vehicle-Manipulator System. - Han Han; Yanhui Wei; Xiufen Ye; Wenzhi Liu (IEEE Access, 2020)

Online Adaptive Critic Learning Control of Unknown Dynamics With Application to Deep Submergence Rescue Vehicle. - Xiaoyang Wang; Xiufen Ye; Wenzhi Liu (IEEE Access, 2020)

VEGA: Towards an End-to-End Configurable AutoML Pipeline. - Bochao Wang; Hang Xu 004; Jiajin Zhang; Chen Chen 077; Yixing Xu; Xiaozhi Fang; Ning Kang 001; Lanqing Hong; Chenhan Jiang; Xinyue Cai; Jiawei Li; Fengwei Zhou; et al. (CoRR, 2020)

Detection and Application of Ultrasonic Cavitation in Pathological Tissue Processing. - Zhongqiu Li; Depeng Liu; Guofeng Shen; Zhiqiang Su; Wenjie Liu; Wenzhi Liu (CISP-BMEI, 2021)

Automatic Surgery Duration Prediction Using Artificial Neural Networks. - Xiaomin Chen; Li Huang; Wenzhi Liu; Po-Chou Shih; Jiaxin Bao (CSAE, 2021)

ScaleFreeCTR: MixCache-based Distributed Training System for CTR Models with Huge Embedding Table. - Huifeng Guo; Wei Guo 006; Yong Gao; Ruiming Tang; Xiuqiang He 001; Wenzhi Liu (SIGIR, 2021)

A multi-cycle and multi-echelon location-routing problem for integrated reverse logistics. - Xiaofeng Xu; Wenzhi Liu; Mingyue Jiang; Ziru Lin (Ind. Manag. Data Syst., 2022)

Trajectory prediction for heterogeneous traffic-agents using knowledge correction data-driven model. - Xiaofeng Xu; Wenzhi Liu; Lean Yu (Inf. Sci., 2022)

Identification of key nodes in complex networks by using a joint technique of nonnegative matrix factorization and regularization. - Pengli Lu; Junxia Yang; Wenzhi Liu (Phys. Commun., 2024)

Identifying Influential Nodes in Complex Networks From Semi-Local and Global Perspective. - Wenzhi Liu; Pengli Lu; Teng Zhang (IEEE Trans. Comput. Soc. Syst., 2024)

Predicting disease-metabolite associations based on the metapath aggregation of tripartite heterogeneous networks. - Wenzhi Liu (IEEE DataPort, 2024)

Variable-weight combined forecasting model with causal analysis and clustering for refined oil sales forecasting. - Xiaofeng Xu; Wenzhi Liu; Lean Yu; Yinsheng Yu; Wanli Yi (Decis. Sci., 2024)

DMNAG: Prediction of disease-metabolite associations based on Neighborhood Aggregation Graph Transformer. - Pengli Lu; Jiajie Gao; Wenzhi Liu (Comput. Biol. Chem., 2025)

RGCGT: A high-order feature learning framework for predicting disease-metabolite interaction using residual graph convolution and graph transformer. - Wenzhi Liu; Pengli Lu; Jiajie Gao (Expert Syst. Appl., 2025)

Enhanced metabolite-disease associations prediction via Neighborhood Aggregation Graph Transformer with Kolmogorov-Arnold Networks. - Pengli Lu; Jian Zhang; Wenzhi Liu; Fentang Gao (J. Comput. Sci., 2025)