刘兆伟，烟台大学计算机与控制学院教授、博导，本硕博均毕业于山东大学，山东省服务业专业人才，山东省重大科技创新工程技术总师，山东工业互联网多模态数据应用创新实验室主任，烟台大学泛在计算团队负责人。主持多项山东省重大创新工程项目和国家级项目，获多项省部级科技奖励。在AAAI、WWW等CCF A类会议和IEEE Trans.等顶级期刊发表SCI论文80余篇，含IEEE Andrew P. Sage最佳汇刊论文奖（年度唯一）、ORAL报告、热点论文和高被引论文等。国际标准IEEE P3929标准提案主席，制定IEEE 3144、3158.1等国际标准2项，首位授权PCT国际专利、美日发明专利、中国发明专利多项。主要研究方向为大模型、图机器学习、网络安全、区块链、计算机视觉，相关成果在杰瑞集团、东方电子、海颐软件等大型企业转化应用。

集散控制与现场总线，自动化新技术

一、近三年发表的部分论文 

[1] Zhaowei Liu, Dong Yang, Yingjie Wang, Mingjie Lu, Ranran Li. EGNN: Graph structure learning based on evolutionary computation helps more in graph neural networks[J], Applied Soft Computing, 2023: 110040. （SCI一区TOP期刊，高被引论文，热点论文）

[2] Haojie Sun, Zhaowei Liu（通信作者）, Shenqiang Wang, Haiyang Wang. Adaptive attention-based graph representation learning to detect phishing accounts on the Ethereum blockchain, IEEE Transactions on Network Science and Engineering, DOI: 10.1109/TNSE.2024. 3355089（SCI二区汇刊）

[3] Dezhi Guo, Zhaowei Liu（通信作者）, Ranran Li. RegraphGAN: A graph generative adversarial network model for dynamic network anomaly detection[J]. Neural Networks, 2023, 166, 273-285（SCI一区TOP期刊）

[4] Rufei Gao, Zhaowei Liu（通信作者）, Chenxi Jiang, Yingjie Wang, Shenqiang Wang, Pengda Wang. BI-FedGNN: Federated graph neural networks framework based on Bayesian inference[J], Neural Networks, 169, January 2024, 143-153.（SCI一区TOP期刊）

[5] Zhaowei Liu, Yixian Wang, Shenqiang Wang, Xiangfu Zhao, Haiyang Wang, Haoyu Yin.  Heterogeneous graphs neural networks based on neighbor relationship filtering[J], Expert Systems with Applications, 2024，239(3):122489（SCI一区TOP期刊）

[6] Zongxing Zhao, Zhaowei Liu（通信作者）, Yingjie Wang, Dong Yang, Weishuai Che. RA-HGNN: Attribute completion of heterogeneous graph neural networks based on residual attention mechanism[J], Expert Systems with Applications, June 2024, 243:122945（SCI一区TOP期刊）

[7] Yixian Wang, Zhaowei Liu（通信作者）, Jindong Xu, Weiqing Yan. Heterogeneous Network Representation Learning Approach for Ethereum Identity Identification[J], IEEE Transactions on Computational Social Systems, 2023,10(3), 890-899.（SCI二区汇刊）

[8] Ranran Li, Zhaowei Liu（通信作者）, Yuanqing Ma, Dong Yang, Shuaijie Sun. Internet financial fraud detection based on graph learning[J], IEEE Transactions on Computational Social Systems, 2023,10(3), 1394-1401. （SCI二区汇刊）

[9] Zhaowei Liu, Dong Yang, Shenqiang Wang, Hang Su. Adaptive multi-channel Bayesian graph attention network for IoT transaction security[J], Digital Communications and Networks, 2022, dio:10.1016/j.dcan.2022.11.018.（SCI二区）

[10] Weishuai Che, Zhaowei Liu（通信作者）, Yixian Wang, Jinglei Liu. Merit: multi-level graph embedding refinement framework for large-scale graph. Complex & Intelligent Systems. 2024,10:1303–1318（SCI二区）

[11] Shenqiang Wang, Zhaowei Liu（通信作者）, Haiyang Wang, Jianping Wang. Ensuring security in edge computing through effective blockchain node detection[J], June 2023, Journal of Cloud Computing, 12(1): DOI: 10.1186/s13677-023-00466-y（SCI三区）

[12] Zhaowei Liu, Weishuai Che, Shenqiang Wang, Jindong Xu, Haoyu Yin. A large-scale data security detection method based on continuous time graph embedding framework[J], June 2023, Journal of Cloud Computing, 12(1): DOI: 10.1186/s13677-023-00460-4（SCI三区）

[13] Dong Yang, Zhaowei Liu（通信作者）, Yingjie Wang, Jindong Xu, Weiqing Yan, Ranran Li. Adaptive Multi-channel Bayesian Graph Neural Network, Neurocomputing. 2024, 575: 127260. （SCI二区）

[14] Zhaowei Liu, Zongxing Zhao. Multi-attribute E-CARGO Task Assignment Model Based on Adaptive Heterogeneous Residual Networks, IEEE Transactions on Computational Social Systems. DOI: 10.1109/TCSS.2023.3344173. （SCI二区汇刊）

[15] Zhaowei Liu, Xilang Lu, Wenzhe Liu, Wen Qi, Hang Su. Human-Robot Collaboration Through a Multi-Scale Graph Convolution Neural Network with Temporal Attention, IEEE Robotics and Automation Letters. 2024, 9(3): 2248-2255（SCI二区）

[16] Zhaowei Liu, Yihao Jiang, Rufei Gao, Jinglei Liu, Dong Yang. DA-DFGAS:Differentiable Federated Graph Neural Architecture Search with Distribution-Aware Attentive Aggregation, AAAI 2026.(CCF A类会议 口头报告)
[17] Zhaowei Liu, Leilei Jiang, HaitaoYang. Multi-dimensional Adaptive Mix-hop Contextual Learning Framework for Universal Graph Anomaly Detection. AAAI 2026. (CCF A类会议)
[18] Zhaowei Liu, Sheng Liu, Weiqing Yan, Peng Song, Yongchao Song, Rufei Gao. ATGFB-MFF: Adaptive Text-Guided Fiber Bundle Feature Fusion with LLMs for Multimodal Sentiment Analysis and Emotion Recognition in Conversations. WWW 2026. (CCF A类会议)
[19] Zhaowei Liu, Chang Liu, Dong Yang, Weiqing Yan, Yongchao Song, Anzuo Jiang. Collaborative Subgraph Learning based Spectrum Sensing under Partial Observations, WWW 2026. (CCF A类会议)

二、主持部分科研项目

1. 山东省重点研发计划:山东近岸海域海洋生态大数据云存储平台构建及应用研究，负责人.
2. 山东省自然科学青年基金项目：CP-nets及其聚合研究，负责人.
3. 山东省重点研发计划: 视景仿真及计算演化博弈（在研），技术负责人.
4. 烟台市校地融合项目，海上环境及无人装备数字孪生服务平台（在研），技术负责人.
5. 烟台市重大创新工程，网络空间多模态数据及移动应用人工智能安全监测平台，课题负责人（在研）.
6. 国家项目，面向区块链跨链交易网络的异质动态图表示学习与优化方法研究，负责人（在研）.

主要面向计算机、软件工程相关专业的学硕和专硕。
毕业研究生26名；学生就业去向：大部分为国内外博士研究生、高校、研究所、头部软件公司等，少部分考取公务员、事业编。
目前指导硕士研究生17名。
乐于倾听同学声音，可提供丰富的理论和实践项目经历并因材施教，经费充足，倡议学生参加国际会议。