1.山东省自然科学基金面上项目，决策大模型驱动的异构联邦学习关键技术研究 2025/01-2027/12  主持
2.山东省自然科学基金重大基础研究项目，基于大小模型融合的类脑纵向联邦学习理论及产业示范 2025/01-2027/12  参与
3.国家自然科学基金面上项目，空天地一体化弹性网络关键技术研究 2025/01-2028/12  参与
4.企事业单位合作项目，录井岩屑图像识别系统 2023/01-2023/12  主持
5.石大经纬产教研究院开放课题，录井资料精细化解释研究 2022/04-2024/03  主持
6.企事业单位合作项目，地层压力预监测系统研究 2022/09-2023/12  主持
7.企事业单位合作项目，煤层气储层智能测井解释技术及软件研发 2022/08-2023/08  主持
8.企事业单位合作项目，页岩油甜点评价软件系统 2022/01-2022/12  参与
9.自主创新科研计划项目【战略专项】石油工业软件通用功能系统平台研发与应用 2022/01-2024/12
10.企事业单位合作项目，井场自动化数据录入系统开发，HX20210749，2021/01-2021/12  主持
11.自主创新科研计划青年基金项目，物联网多协议并行通信技术方法研究，2018/01-2020/12 参与
12.科技部创新工作方法专项：油气开采智能生产创新方法推广方案（大数据环境下的油气开采创新方法研究与应用示范 No.201502005006）2015/1-2018/12 参与
13.山东省自然科学基金博士基金项目，BS2014DX021，可定制云服务的部署与配置方法研究，2014/10-2017/10 参与
14.国家863项目外协，N1607021，录井远程实时数据发布应用系统测试，2015/10-2016/12 主持
15.企事业单位合作项目，2012005806，录井资料综合查询应用系统，2012/06-2013/8主持
16.企事业单位合作项目，2011002451，三维可视化井筒动态监控系统，2011/06-2012/10 主持

1.Shaohua Cao，Chengqi Wang, Qiang Niu, Quancheng Zheng, Ge Shen, Bingyang Chen, Xian Shi, Weishan Zhang,Enhancing pore pressure prediction accuracy: A knowledge-driven approach with temporal fusion transformer,Geoenergy Science and Engineering,Volume238,2024,https://doi.org/10.1016/j.geoen.2024.212839.

2.Tian Wen, Hanqing Zhang, Han Zhang, Huixin Wu, Danxin Wang, Xiuwen Liu, Weishan Zhang, Yuwei Wang, Shaohua Cao*,RTIFed: A Reputation based Triple-step Incentive mechanism for energy-aware Federated learning over battery-constricted devices,Computer Networks,Volume241,2024,https://doi.org/10.1016/j.comnet.2024.110192

3.Shaohua Cao*, Hanqing Zhang, Tian Wen, Hongwei Zhao, Quancheng Zheng, Weishan Zhang, Danyang Zheng,  FedQMIX: Communication-efficient federated learning via multi-agent reinforcement learning,   High-Confidence Computing,Volume 4, Issue 2,2024,https://doi.org/10.1016/j.hcc.2023.100179.

4.C. Dai, S. Cao*, Z. Zhan, D. Liu and D. Zheng, User Allocation in NOMA-Based Edge Computing Environment, GLOBECOM 2023 - 2023 IEEE Global Communications Conference, Kuala Lumpur, Malaysia, 2023, pp. 3033-3038, doi: 10.1109/GLOBECOM54140.2023.10437410.

5.Chen, Bingyang, Xingjie Zeng, Lulu Fan, Kun Li, Weishan Zhang, Shaohua Cao, YanXin Wang et al. Adaptive Spatio-Temporal Neural Networks Based on Machine Learning for Missing Well Log Prediction. Geophysics 88, no. 6 (2023): 1-50.

6.Chen, Bingyang, Xingjie Zeng, Weishan Zhang, Lulu Fan, Shaohua Cao, and Jiehan Zhou. Knowledge sharing-based multi-block federated learning for few-shot oil layer identification. Energy 283 (2023): 128406.

7.Cao,Shaohua, Di Liu, Congcong Dai, Chengqi Wang, Yansheng Yang, Weishan Zhang, and Danyang Zheng. Reinforcement learning based tasks offloading in vehicular edge computing networks. Computer Networks (2023): 109894.

8.Chen, Bingyang, Xingjie Zeng, Jiehan Zhou, Weishan Zhang, Shaohua Cao, and Baoyu Zhang. Value-aware meta-transfer learning and convolutional mask attention networks for reservoir identification with limited data. Expert Systems with Applications 223 (2023): 119912.

9.Cao, Shaohua, Shu Chen, Hui Chen, Hanqing Zhang, Zijun Zhan, and Weishan Zhang. HCOME: research on hybrid computation offloading strategy for MEC based on DDPG. Electronics 12, no. 3 (2023): 562.

10.Cao, Shaohua, Zijun Zhan, Congcong Dai, Shu Chen, Weishan Zhang, and Zhu Han. Delay-Aware and Energy-Efficient IoT Task Scheduling Algorithm with Double Blockchain Enabled in Cloud-Fog Collaborative Networks. IEEE Internet of Things Journal (2023).

11.Chen, Bingyang, Xingjie Zeng, Shaohua Cao, Weishan Zhang, Siyuan Xu, Baoyu Zhang, and Zhaoxiang Hou. Interwell Stratigraphic Correlation Detection based on knowledge-enhanced few-shot learning. Journal of Petroleum Science and Engineering 220 (2023): 111187.

12.曹绍华*, 姜佳佳, 陈舒,等. A-DDPG:多用户边缘计算系统的卸载研究[J]. 计算机工程与应用, 2023, 59(1):10.

13.曹绍华*，陈辉，陈舒，张汉卿，张卫山 AccFed：工业物联网中利用模型分割进行联邦学习训练和推理加速，电子与信息学报 网络优先出版，2022.5

14.Cao S, Zhu D, Li G, et al. Research on scheduling method based on traffic matrix for IoT security.International Journal of Network Management 2020;e2101

15.Shaohua Cao*, Zhihao Wang, Dingde Jiang, Hui Chen et “Research on Design and Application of Mobile Edge Computing Model Based on SDN” 2020 International Conference on Computer Communications and Networks（ICCCN 2020）, Hawaii, USA. （CCF C类会议）

16.Cao, N., Liu, P., Li, G., Zhang, C., Cao, S., & Cao, G.  Evaluation models for the nearest closer routing protocol in wireless sensor networks. IEEE Access,(2018),PP(99), 1-1.

17.Shaohua Cao, Mengzhu Tong, Zhihan Lv, Dingde Jiang “A Study on Application-towards Bandwidth Guarantee Based on SDN” 2016 IEEE Globecom Workshops, Washington, DC USA. （CCF C类会议）

18.Shaohua Cao, Ning Cao “The Research on the Scheduling Method of Server in Data-Centre” 2017 IEEE International Conference on Computational Science and Engineering Guangzhou, China.

19.Bin Xue, Shaohua Cao, Mei Wu, Xueru Yu  Analysis of WSN routing protocols for the application of forest fire prevention.International Journal of High-Performance Systems Architecture (2017),7(4):231.

20.曹绍华*，张斌，张培颖．SDN 架构下基于优先级的带宽保障算法研究,［J］信息技术与网络安全， 2018,37( 2): 11-14．

21.曹绍华*,张鑫.面向业务的SDN网络带宽保障研究,［J］计算机工程与应用, 2016, 52(22): 127-132.

22.曹绍华*，卢清华，张红霞，薛华威.基于SDN的服务器集群动态流量调度方法,［J］中国电子科学研究院学报, 2016, 11(6): 625-628.

23.曹绍华*，史永宏．基于32位处理器的网络驱动及协议栈研究,［J］现代电子技术, 2016, 39(19): 11-15.

24.曹绍华*，薛华威.基于DTTL模型的DNS自适应缓存机制研究,［J］中国电子科学研究院学报, 2016, 11(2): 199-203.

25.2012年主编出版教材《TCP/IP协议分析》

26.2016年第一译者翻译国际著名出版社Wiley、No Starch Press的图书《网络安全测试实验室》、《GNS3实战指南》，译著由人民邮电出版社出版。

指导培养研究生18名，指导本科毕业设计50余人。
已经毕业的研究生去向：
陈辉 新奥新智研究院
陈舒 超越科技股份有限公司
付鲁菲 烟台大数据局
姜佳佳 中国工商银行成都软件研发中心
詹子俊 美国休斯顿大学 全额奖学金博士
代聪聪 中国联通青岛
刘迪 海信研究院
张汉卿 烟台财政局
王承奇 原始人信息科技