博导个人简介

曾亮：男，博士，教授，博士生导师，湖北工业大学“南湖学者”学术带头人。

学术任职：担任科技部国家重点研发计划项目评审专家、教育部学位与研究生教育评估专家、湖北省人工智能学会理事会副秘书长和常务理事、中国公路学会交通智能建造分会理事、国内多省/市/自治区科学技术奖评审专家等学术兼职。

主要从事机器视觉与机器学习/深度学习理论、方法及应用，智能计算与优化计算方法，复杂系统建模、调度与优化，新能源发电与能源系统管理等方向研究工作。

项目：主持湖北省重点研发计划项目2项，其他横纵向项目十余项。

工程安全运行智能监测与健康管理关键技术研究及应用，湖北省重点研发计划项目，2023.07-2025.12（主持）

钢铁工业全流程多工序生产和能源动态协同调度优化技术研究与应用，湖北省重点研发计划项目，2020.09-2023.12（主持）

粤港澳大湾区深圳都市圈城际铁路深惠城际大鹏支线工程盾尾间隙自动测量项目，企业委托项目，2023.02-2024.12（主持）

智能压缩空气输配系统模型研发，企业委托项目，2024.05-2025.12（主持）

基于数据驱动的单机架20辊可逆冷轧机温度预测模型研发，企业委托项目，2023.06-2024.12（主持）

基于浅层模型和深度网络集成的钢铁企业短期能源产耗预测方法研究，教育部重点实验室开放基金项目，2020.12-2021.12（主持）

盾构盾尾间隙自动化监测技术研究，国家工程研究中心开放课题，2019.06-2022.12（主持）

盾构渣土方量自动化监测技术研究，国家工程研究中心开放课题，2019.06-2022.12（主持）

奖励：

复杂制造环境下钢铁工业绿色化智能化节能降耗关键技术及应用，湖北省科技进步一等奖，2019年，排名第一

钢铁制造过程能效评估及优化控制关键技术开发与应用，中国金属学会/中国钢铁工业协会冶金科学技术奖一等奖，2022年，主要完成人

滨海强渗透性地层超长距离地铁区间施工关键技术，中国施工企业管理协会工程建设科学技术进步奖二等奖，2023年，主要完成人

湖北工业大学第二届研究生“良师益友”，2024年（全校10人）

湖北工业大学“2019-2022年度科研工作标兵”，2023年（全校9人）

作为第一指导教师指导研究生参加中国研究生电子设计竞赛、中国研究生智慧城市技术与创意设计大赛、全国人工智能应用场景创新挑战赛等重要赛事，获得国家一等奖、二等奖、优胜奖和省级以上奖励共计30余项

代表性论著：

第一作者论文：

1. Liang Zeng(曾亮), Wenqiang Shu, Zhe Liu, Shanshan Wang, et al. Vision-based high-precision intelligent monitoring for shield tail clearance[J], Automation in Construction, 2022, 134:104088. (中科院一区TOP期刊，IF=10.5)

2. Liang Zeng(曾亮), Zheng Feng, Jia Chen, Shanshan Wang. Long-tailed visual classification based on supervised contrastive learning with multi-view fusion[J], Knowledge-based Systems, 2024, 301: 112301. (中科院一区TOP期刊，IF=7.4)

3. Liang Zeng(曾亮), Xinyu Chang, Jia Chen, Shanshan Wang. An Auxiliary Branch Semisupervised Domain Generalization Network for Unseen Working Conditions Bearing Fault Diagnosis[J], IEEE Sensors Journal, 2024, 24(24): 42327-42342.

4. Liang Zeng(曾亮), Zheng Feng, Xinyu Chang, Jia Chen, Shanshan Wang. Gradient adaptive data augmentation and locally compensated feature fusion network for strip steel surface defect classification based on long tailed distribution[J], Measurement Science and Technology, 2025, 36(1): 015429.

5. Liang Zeng(曾亮), Junjie Jian, Xinyu Chang, and Shanshan Wang. A meta-learning method for few-shot bearing fault diagnosis under variable working conditions[J], Measurement Science and Technology, 2024, 35(5): 056205.

6. Liang Zeng(曾亮), Jia Chen, Chenning Zhang, Xingao Yan, Fuquan Ji, Xinyu Chang, Shanshan Wang, et al. Prediction of shield tunneling attitude: a hybrid deep learning approach considering feature temporal attention[J], Measurement Science and Technology, 2024, 35(8): 086211.

7. Liang Zeng(曾亮), Junyang Shi, Yanyan Li, Shanshan Wang, and Weigang Li. A Strengthened Dominance Relation NSGA-III Algorithm Based on Differential Evolution to Solve Job Shop Scheduling Problem[J], Computers, Materials and Continua, 2024, 78(1).

8. Liang Zeng(曾亮), Junyang Shi, Ming Li, and Shanshan Wang. Sine Cosine Embedded Squirrel Search Algorithm for Global Optimization and Engineering Design[J], Cluster Computing, 2024, 27(4): 4415-48.

9. Liang Zeng(曾亮), Ziyang Ding, Junyang Shi, and Shanshan Wang.ADiscreteMulti-Objective Squirrel Search Algorithm for Energy-Efficient Distributed Heterogeneous Permutation Flowshop with Variable Processing Speed[J], Computers, Materials and Continua, 2024 81(1): 1757-1787.

10. Liang Zeng(曾亮), Mai Hu, Chenning Zhang, Quan Yuan, and Shanshan Wang. A Multi-Strategy-Improved Northern Goshawk Optimization Algorithm for Global Optimization and Engineering Design[J], Computers, Materials and Continua, 2024 80(1): 1677-1709.

11. Liang Zeng(曾亮), Xin Lan, Shanshan Wang. Short-term wind power prediction based on the combination of numerical weather forecast and time series[J], Journal of Renewable and Sustainable Energy, 2023, 15(1).

12. Liang Zeng(曾亮), Hao Zhang, Yanyan Li, Maodong Li, and Shanshan Wang. Supervision dropout: guidance learning in deep neural network[J], Multimedia Tools and Applications, 2023, 82(12): 18831-50.

13. Liang Zeng(曾亮), Yanyan Li, Hao Zhang, Ming Li, and Shanshan Wang. A mixed Harris hawks optimization algorithm based on the pinhole imaging strategy for solving numerical optimization problems[J], The Journal of Supercomputing, 2023, 79(14): 15270–323.

14. Liang Zeng(曾亮), Ming Li, Junyang Shi, and Shanshan Wang. Spiral Aquila Optimizer Based on Dynamic Gaussian Mutation: Applications in Global Optimization and Engineering[J], Neural Processing Letters, 2023, 55(8): 11653-99.

15. Liang Zeng(曾亮), Chenning Zhang, Xingao Yan, Shanshan Wang. Shield tail clearance images feature extraction based on semisupervised semantic segmentation[J], Physica Scripta, Accepted.

16. 曾亮，曾维钧，李燕燕，等.基于自适应聚合距离的多目标进化算法[J].控制与决策, 2024,39(4):1113-1122. (中文EI期刊)

17. 曾亮，向思颖，曾维钧，等.基于改进角度惩罚距离和自适应参考向量的高维多目标进化算法[J].控制与决策, 2024,39(10):3199-3206. (中文EI期刊)

18. 曾亮，李燕燕，王珊珊，等.代理辅助遗传规划调度规则中的特征选择[J].华中科技大学学报（自然科学版）, 2023,51(2):0139-0145. (中文EI期刊)

19. 曾亮，雷舒敏，王珊珊，等.基于OVMD-SSA-DELM-GM模型的超短期风电功率预测方法[J].电网技术, 2021,45(12):4701-4712. (中文EI期刊)

通信作者论文：

1. Quan Yuan, Shanshan Wang, Mai Hu, andLiang Zeng(曾亮). SLDChOA: A Comprehensive and Competitive Multi-Strategy-Enhanced Chimp Algorithm for Global Optimization and Engineering Design[J], The Journal of Supercomputing, 2024, 80(3): 3589-3643.

2. Shanshan Wang, Weiwei Tan, Tengfei Yang,Liang Zeng(曾亮), Wenguang Hou, and Quan Zhou. High-Voltage Transmission Line Foreign Object and Power Component Defect Detection Based on Improved YOLOv5[J], Journal of Electrical Engineering & Technology, 2024, 19(1): 851-66.

3. Shanshan Wang, Ling Jian, Kaiyan Li, Pingping Zhou, andLiang Zeng(曾亮). Multiscale Feature Fusion Method for Liver Cirrhosis Classification[J], International Journal of Imaging Systems and Technology, 2024, 34(4): e23143.

4. Shanshan Wang, Quan Yuan, Weiwei Tan, Tengfei Yang, andLiang Zeng(曾亮). SCChOA: Hybrid Sine-Cosine Chimp Optimization Algorithm for Feature Selection[J], Computers, Materials and Continua, 2023 77(3): 3057–75.

5. Shanshan Wang, Xinyi Zou, Wei Zhu, andLiang Zeng(曾亮). Insulator Defects Detection for Aerial Photography of the Power Grid Using You Only Look Once Algorithm[J], Journal of Electrical Engineering & Technology 2023, 18(4): 3287-3300.

6. Shanshan Wang, Wenkang Han, Junjie Jian, Xinyu Chang,Liang Zeng(曾亮). A Domain Adaptation Meta Learning Method with Multilayer Convolutional Attention for Cross-Domain Bearing Fault Diagnosis[J], IEEE Sensors Journal, Accepted.

7. Shanshan Wang, Wenkang Han, Hao Zhang,Liang Zeng(曾亮). Lightweight rotating machinery fault diagnosis based on quadratic convolutional neural network and evidence fusion of multi-source sensor information[J], Journal of Instrumentation, Accepted.

8. 王粟，江鑫，曾亮*，常雨芳.基于VMD-DESN-MSGP模型的超短期光伏功率预测[J].电网技术, 2020,44(3):917-926. (中文EI期刊)

所授课程：主要承担《智能优化算法及应用》《机器学习》等研究生课程教学工作。