吴旻诚

吴旻诚，博士，现就职于浙江工业大学信息工程学院，任朝晖特聘研究员，校聘教授。

      2021年至2023年在浙江大学控制科学与工程学院从事博士后研究。2021年毕业于浙江大学控制科学与工程学院，获工学博士学位，专业为控制科学与控制理论。2018年至2019年于美国波士顿大学联合培养，专业为理论物理。2014年至2016年在浙江大学数学科学学院硕博连读（硕士阶段），专业为计算数学。2014年毕业于浙江师范大学初阳学院，获理学学士学位，专业为数学与应用数学。目前主要从事网络科学、数据挖掘、机器视觉等方向的研究工作。曾获浙江大学优秀博士学位论文、中国自动化学会优秀博士学位论文提名奖等学术荣誉。

Journal Papers

[J1] Xiufang Shi, Yao Li, Dan Yu, Mincheng Wu*. Performance Analysis of Carrier Phase Positioning Fusing AOA[J], Digital Signal Processing, 2025.

[J2] Cunqi Shao, Mincheng Wu*, Shibo He. Improving Community Detection in Blockmodel by Distance-based Observation Selection[J], Physica A: Statistical Mechanics and its Applications, 2024.

[J3]  Xiufang Shi, Shaoqi Fu, Dan Yu, Mincheng Wu*. Asynchronous Federated Learning-based Indoor Localization with Non-IID Data[J], IEEE Sensors Journal, 2024.

[J4] 吴祥，曹文，黄光普，郭方洪，吴旻诚，董辉*. 基于改进烟花算法的嵌套轮廓切割路径优化方法[J], 计算机辅助设计与图形学学报, 2024.

[J5] 吴祥，李刘青，曹文，吴旻诚，董辉，郭方洪. 基于面积度和蛇群优化的二维不规则排样算法[J], 计算机集成制造系统, 2024.

[J6] Jinzhu Yu, Mincheng Wu, Gisela Bichler, Felipe Aros-Vera, Jianxi Gao*. Reconstructing Sparse Multiplex Networks with Application to Covert Networks[J], Entropy,  2023.

[J7] Cunqi Shao, Mincheng Wu, Shibo He*, Zhiguo Shi, Chao Li, Xinjiang Ye, Jiming Chen. Leveraging human mobility data for efficient parameter estimation in epidemic models of COVID-19[J], IEEE Transactions on Intelligent Transportation Systems, 2022.

[J8] Mincheng Wu¹, Chao Li¹, Zhangchong Shen, Shibo He*, Lingling Tang, Jie Zheng, Yi Fang, Kehan Li, Yanggang Cheng, Zhiguo Shi, Guoping Sheng, Yu Liu, Jinxing Zhu, Xinjiang Ye, Jinlai Chen, Wenrong Chen, Lanjuan Li*, Youxian Sun, Jiming Chen*. Use of temporal contact graphs to understand the evolution of COVID-19 through contact tracing data[J], Communications Physics, 2022.

[J9] Mincheng Wu, ,Jiming Chen, Shibo He, Youxian Sun, Shlomo Havlin, Jianxi Gao*. Discrimination reveals reconstructability of multiplex networks from partial observations, Communications Physics, 2022.

[J10] Yulong Cui, Mincheng Wu, Shibo He*, Peng Cheng, Hairong Dong. Fast restoring the controllability of networked systems with symmetric weights[J], IEEE Transactions on Network Science and Engineering, 2022.

[J11] Yulong Cui, Mincheng Wu, Cunqi Shao, Shibo He*. A temporal segmentation algorithm for restoring the controllability of networked control systems[J]. IET Control Theory & Applications, 2021.

[J12] Mincheng Wu, Zhen Li, Cunqi Shao, Shibo He*. Quantifying multiple social relationships based on a multiplex stochastic block model[J]. Frontiers of Information Technology & Electronic Engineering, 2020.

[J13] Yulong Cui, Shibo He*, Mincheng Wu, Chengwei Zhou, Jiming Chen. Improving the controllability of complex networks by temporal segmentation[J]. IEEE Transactions on Network Science and Engineering, 2020.

[J14] Mincheng Wu, Shibo He*, Yongtao Zhang, Jiming Chen, Youxian Sun, Yang-Yu Liu, Junshan Zhang*, H. Vincent Poor*. A tensor-based framework for studying eigenvector multicentrality in multilayer networks[J], Proceedings of the National Academy of Sciences, 2019.

Conference Papers

[C1] Shengsheng Cai, Rui Zhou, Funan Kong, Mincheng Wu, Xiang Wu, Pengfei Yan. A Self-attention-based Optimized Temporal Convolutional Network for Weaving Machine Faults Prediction[C]. International Conference on Industrial Engineering and Applications, 2025. 

[C2] Chengcheng Lv, Mincheng Wu, Xiufang Shi, Jiming Chen, Xiang Wu, Ce Shen, Hui Dong. Network Topology Recognition from Images via Window Detection[C]. Computer Graphics International, 2024. 

[C3] Shengsheng Cai, Rui Zhou, Xiaodong Yang, Xiangqing Zhou, Qiyong Bao, Mincheng Wu. A Data-Driven Optimization Method for Glove Machine Operating Efficiency[C]. International Conference on Frontiers of Intelligent Manufacturing and Automation, 2024. (Invited Speaker)

[C4] Shengsheng Cai, Rui Zhou, Mincheng Wu, Xiang Wu, Hui Dong, Pengfei Yan. An Adaptive Genetic Algorithm for Tension Control in Air-Jet Weaving Machines[C]. IEEE Industrial Electronics Society Annual Online Conference, 2024. 

[C5] Qihao Huang, Chao Li, Mincheng Wu. LEAM: A large-scale events aware module for multistep intercity flow prediction[C]. IEEE/CIC International Conference on Communications in China, 2023. (Best Paper Award).

[C6] Zhenli Shou, Mincheng Wu, Kehan Li, Chao Li. An evidence study of long-term impacts on mobility patterns brought by COVID-19[C]. IEEE International Conference on Smart City and Information, 2022.

Patents

[P1] Shibo He, Chao Li, Ruiwei Yu, Mincheng Wu, Jiming Chen, Peng Cheng, Yu Liu. Contact tracing pre-screening method for infectious disease susceptible people based on wifi matching: U.S. Patent Application 17/925,317[P], 2024. 

多层网络重构方法的建模、分析与应用，国家自然科学基金青年项目，主持，2022-2025；

动态网络上联邦学习的结构优化策略，国家重点实验室开放课题，主持，2023-2024；

并作为项目技术骨干参与国家重点研发计划项目、国际合作项目及企业横向委托等多项科研项目。

G103148 《工业互联网》 ，信息工程学院

       本课程是自动化、电子信息和智能科学与技术专业的专业选修课程，通过课程学习使学生了解当今信息化社会发展，掌握工业互联网技术的发展和 应用，了解工业互联网的关键技术，为今后从事工业互联网、工业大数据分析、未来工厂等相关的研发工作打下基础，课程在每学年的第二学期开课，总学时32，共计2学分。

指定教材：《工业互联系统分析与设计》（张文安、郭方洪编著），机械工业出版社

参考教材1：《物联网系统设计》（贺诗波、史治国、楼东武、陈积明编著），浙江大学出版社

参考教材2：《物联网平台LinkPlatform探索与实践》（陈积明、史治国、贺诗波编著），浙江大学出版社

----------------------------------------------------------------------------------------------------------------