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, Xinlu Xuan, Mincheng Wu*, Wen-An Zhang. MDAALoc: An Indoor Localization Method based on Multi-source Domain Adversarial Adaptation[J], lEEE Wireless Communications Letters, 2025.

[J2] Qihang Zhou, Zijian Jin, Mincheng Wu, Shibo He. GPT4EAD: Efficient Large Language Models for Time Series Anomaly Detection on Memory-Constrained Edge Devices[J], IEEE Internet of Things Magazine, 2025.

[J3] Yixin Zou, Dan Yu, Xiufang Shi, Mincheng Wu, Wen-an Zhang. Robust Distributed Localization based on Barycentric Coordinates under Random Data Loss[J], IEEE Signal Processing Letters, 2025.

[J4] Xiufang Shi, Yao Li, Dan Yu, Mincheng Wu*. Performance Analysis of Carrier Phase Positioning Fusing AOA[J], Digital Signal Processing, 2025.

[J5] 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.

[J6]  Xiufang Shi, Shaoqi Fu, Dan Yu, Mincheng Wu*. Asynchronous Federated Learning-based Indoor Localization with Non-IID Data[J], IEEE Sensors Journal, 2024.

[J7] Zhuo Sun, Yifan Liu, Mincheng Wu, Rushi Li. Controllability preservation in complex networks via minimal edge configurations[J], Scientific Report, 2025.

[J8] Jinzhu Yu, Mincheng Wu, Gisela Bichler, Felipe Aros-Vera, Jianxi Gao. Reconstructing Sparse Multiplex Networks with Application to Covert Networks[J], Entropy,  2023.

[J9] Rushi Li, Mincheng Wu*, Revealing Urban Color Patterns via Drone Aerial Photography—A Case Study in Urban Hangzhou, China[J], Buildings,  2023.

[J10] 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.

[J11] 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.

[J12] Mincheng Wu, Jiming Chen, Shibo He, Youxian Sun, Shlomo Havlin, Jianxi Gao. Discrimination reveals reconstructability of multiplex networks from partial observations, Communications Physics, 2022.

[J13] 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.

[J14] 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.

[J15] 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.

[J16] 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.

[J17] 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.

[J18] 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.

[J19]  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.

Conference Papers

[C1] Mincheng Wu,  Junhao Zhang, Rushi Li, Xiufang Shi, Shibo He. A Self-attention-based Optimized Temporal Convolutional Network for Weaving Machine Faults Prediction[C]. IEEE 23rd International Conference on Embedded and Ubiquitous Computing (EUC), 2025. 

[C2] Shengsheng Cai, Rui Zhou, Funan Kong, Mincheng Wu, Xiang Wu, Fanghong Guo, Pengfei Yan. A Self-attention-based Optimized Temporal Convolutional Network for Weaving Machine Faults Prediction[C]. International Conference on Industrial Engineering and Applications, 2025. (Best Poster Presentation Award).

[C3] Rui Zhou, Shan Gao, Yiqi Dong, Hui Dong, Yu Zhang, Xiang Wu. EtherCAT-based high-precision multi-axis interpolation synchronous control method[C]. Annual Youth Academic Conference of Chinese Association of Automation, 2025. 

[C4] 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. 

[C5] 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)

[C6] 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. 

[C7] 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).

[C8] 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。

G103128  《网络科学》 ，信息工程学院

       本课程是机器人工程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系统了解复杂网络在自然、工程和社会系统中的广泛应用，掌握网络建模、网络拓扑结构分析及动态过程研究等核心理论与方法，了解网络科学在信息传播、社交网络、交通系统、人工智能等领域的典型应用，为今后从事数据分析、智能系统设计与优化、复杂系统建模等相关研究工作打下坚实基础。课程在每学年的第一学期开课，总学时32，共计2学分。

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《工业互联网》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

《工业互联网》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

《工业互联网》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

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