教师姓名：苗圣法
职称：副教授
系所：网络空间安全
研究技术：自然语言处理、知识图谱、大数据、数据挖掘、时空智能
电子邮件：miaosf@ynu.edu.cn，miaoshengfa@hotmail.com
苗圣法，云南大学软件学院副教授，硕士生导师，数字孪生智能风控联合实验室和地理空间智能联合实验室的负责人。入选深圳市孔雀计划“海外高层次人才”，国家邮政总局“科技英才推进计划”。兼任中国物流学会特约研究员、公共安全科学技术学会-应急管理专业委员会委员。
研究的领域为时空智能、智慧物流、智能风控和数字孪生。主持云南省重大科技专项1项，国家重点研发计划子课题1项，云南省重点研发课题1项，横向课题3项，在国内外知名期刊和会议上发表论文60余篇。具备多年产学研工作经验，曾在沃达丰和顺丰等国内外企业担任数据科学家、机器学习资深高级工程师和智能研发部负责人等职位，注重产学研合作，与丰图科技、明洋数字科技、易智瑞和航天云际等多家企业有深度合作。
教育背景：
2010.11– 2014.12, 博士，数据挖掘，荷兰莱顿大学(Leiden University)
2009.09–2015.07， 博士，计算机应用技术，兰州大学
2007.09–2009.07， 硕士 计算机科学软件与理论，兰州大学
2001.09–2005.07, 学士，计算机科学与技术,兰州大学
工作经历：
2022年11月至今， 云南大学–副教授
2021年10月至2022年10月，云南大学–高级工程师
2018年9月至2021年9月， 顺丰速运/丰图科技–机器学习资深高级工程师
2018年1月至2018年8月， 荷兰沃达丰-数据科学家
2016年9月至2017年12月， 荷兰超图科技有限公司-首席数据科学家
2016年9月至2017年11月， 荷兰特温特大学-博士后研究员
2014年9月至2016年8月， 荷兰莱顿大学-博士后研究员
2005年7月至2009年9月， 兰州大学-助教
近5年主持和参与项目：
2025-至今：人大模型驱动的跨模态开源信息知识对齐与态势推演关键技术的研究，2025云南省重点研发计划（202503ZD38001），360万元，课题负责人
2024-至今：人机物三元空间数据协同寄递揽收风险识别与预警关键技术，2024年国家重点研发计划（2024YFC3014300），572万元，子课题负责人
2023-2025：基于数据要素资源化的智慧物流体系建设及关键技术研究，2023年云南省重大科技专项计划（202302AD080006），2200万元，主持
2023-至今：常州公安超融合-NL项目，学校、企业和政府合作课题，300万元，主持
2023-至今：基于华为OpenGuass的在线实战课程体系建设，2023年华为公司教育部产学合作协同育人项目，5万，主持
2024-至今：自然资源土地审批合规性智能分析关键技术研究，湖南省自然资源厅科技计划项目（HBZ20240123），9万，主持
代表论文
通讯或第一作者：
1.Song Gao, Tao Lv, Jinming Cui, Xiaoxuan Wang, Shengfa Miao, Ahmed Zahir, Adam Khalid, Shaowen Yao. Exploiting bidirectional Mamba interaction for graph similarity learning, Expert Systems with Applications, Volume 326, 132666, 102026
2.Yongkang Mu, Weisheng Zhang, Yongmao Tu, Shaowen Yao and Shengfa Miao, A Novel Capsule Network with Attention Routing for Text Classification，2026 9th International Conference on Signal Processing and Machine Learning，Hangzhou, 10-12, July, 2026
3.Li, L.; Liu, D.; Miao, S.; Zahir, A.; Mu, Y.; Deng, H.; Jin, X.; Jiang, Q.; Wang, P.; Jiang, H.; et al. STDPatch: A Three-Stream Framework for Long-Term Time Series Forecasting via SG-Filter-Based Decomposition and Patch Refactor.Big Data Cogn. Comput.,10(253), 2026.
4.Duan, B., Liu, D., He, Z. et al. PADP: progressive and adaptive data pruning for efficient incremental learning. Sci Rep 16, 13440, 2026
5.吕孝礼, 曹天成, 苗圣法. 应急情景模拟演练的即时评估与反馈:经验与启示, 灾害学, 41(2):15-22, 2026
6.Chen, T. et al. GeoRAG: A Geographic Retrieval Augmented Generation Framework Based on Urban Spatio-Temporal Knowledge Graph. In: Ding, X., Dong, Y. (eds) Computational Linguistics and Natural Language Processing. CLNLP 2025. Communications in Computer and Information Science, vol 2775, 2026
7.Cai, S. et al. EGMP: Enhanced Generative Multimodal Prompt for Few-Shot Multimodal Aspect-Based Sentiment Analysis. In: Ding, X., Dong, Y. (eds) Computational Linguistics and Natural Language Processing. CLNLP 2025. Communications in Computer and Information Science, vol 2775, 2026
8.Yu, Q., Miao, S., Ma, D., Zhang, Z. Fusing Generative AI and Density Clustering for Multi-level Patent Topic Discovery: From Data Curation to System Deployment. In: Ding, X., Dong, Y. (eds) Computational Linguistics and Natural Language Processing. CLNLP 2025. Communications in Computer and Information Science, vol 2775, 2026
9.Biqing Duan, Qing Wang, Di Liu, Wei Zhou, Zhenli He, Shengfa Miao, LODAP: On-device incremental learning via lightweight operations and data pruning, Journal of Systems Architecture, 168, 103571, 2025
10.Guan, Zhi-Qian and Liu, Jing and He, Zhenli and Miao, Shengfa and Liu, Di, Input-Aware Slowdown Backdoor Attack on Dynamic Neural Networks, Journal of Circuits, Systems and Computers, 34(16), 2550283, 2025
11.Yue Huang, Shengfa Miao, Jing Zou, Yongkang Mu, Yuling Tian, Jian Wang, Yesen Liu, Kuang Li, Puming Wang, Xin Jin, Shaowen Yao, HPM-GMN: Hierarchical Pooling Multi-level Graph Matching Network, Knowledge-Based Systems, 321, 113677, 2025
12.Qian Jiang, Qianqian Wang, Shengfa Miao, Xin Jin, Shin-Jye Lee, Michal Wozniak, Shaowen Yao, SR_ColorNet: Multi-path attention aggregated and mask enhanced network for the super resolution and colorization of panchromatic image, Expert Systems with Applications, 276, 127091, 2025
13.ZhaoKe Long, ShengFa Miao, Qian Jiang, PuMing Wang, Xin Jin, Jing Niu, ShuangFeng Cai & Tao Chen. CoT-NER: A Reasoning Method via Chain of Thought for Chinese Named Entity Recognition. Lecture Notes in Computer Science, vol 15865, 2025
14.Qingda Bao, Shengfa Miao, Yulin Tian, Xin Jin, Puming Wang, Qian Jiang, Da Hu, Rush Wang, GDRNet: A Channel Grouping based Time-Slice Dilated Residual Network for Long-Term Time Series Forecasting, The Journal of Supercomputing, 81(499), 2025
15.Shichao Ma, Shengfa Miao, Shaowen Yao, Xin Jin, Xing Chu, Qian You, Yulia Tian, Rush Wang, SDHNet: a sampling-based dual-stream hybrid network for long-term time series forecasting, The Journal of Supercomputing, 81(68), 2025
16.Keshan Yan, Shengfa Miao, Xin Jin, Yongkang Mu, Hongfeng Zheng, Yuling Tian, Puming Wang, Qian Yu, Da Hu, CEDN: A Lightweight Time-Context Enhanced Depression Detection Network, Life, 14(10):1313-1334, 2024
17.Yulin Tian, Shengfa Miao, Shaowen Yao, Puming Wang, Xin Jin, Shichao Ma, Online Public Opinion Time Series Prediction Based on Improved N-Beat and Multimodal Hybrid Fusion, IEEE ISPA 2024, Kaifeng, 2024
18.Qian Jiang, Shuai Liu, Shengfa Miao, Huasong Yi, Xin Jin, Yuru Kou Hanxian Dean, Robust manipulated media localization and detection based on high frequency and texture features, Discover Computing, 2025
19.Qian Jiang, Tao Zhou, Youwei He, Wenjun Ma, Jingyu Hot, Ahmad Shahrizan Abdul Thani, Shengfa Miao, Xin Jin, CMMF-Net: a generative network based on CLIP-guided multi-modal feature fusion for thermal infrared image colorization, Intelligence & Robotics, 5(1):34-49, 2025
20.Xin Jin, Zien Cheng, Qian Jiang, Ping Wei, Yunyun Dong, Liwen Wu & Shengfa Miao, RIHNet: A Robust Image Hiding Method for JPEG Compression, 2024 International Conference on Intelligent Computing, Tianjin 2024
21.Hongfeng Zheng, Shengfa Miao, Qian Yu, YongKang Mu, Xin Jin, Semantic Enhancement Network Integrating Label Knowledge for Multi-modal Emotion Recognition, 2024 International Conference on Intelligent Computing, Tianjin, 2024
22.苗圣法, 吴昊洋, 高超, 王瑞通, 单培. 时空语义数字底板相关技术研究及在物流领域应用, 信息技术与标准化, 5:99-104, 2024
23.Xin Jin, Yuting Feng, Qiang Jiang, Shengfa Miao*, Xing Chu, Huangqimei Zheng, Qianqian Wang, UPGAN: An Unsupervised Generative Adversarial Network Based on U-Shaped Structure for Pansharpening, ISPRS International Journal of Geo-Information, 13(7):222, 2024
24.Ruoshu Wang, Shengfa Miao, Di Liu, Xin Jin, Weisheng Zhang. Multi-layer seasonal perception network for time series forecasting. IEEE ICASSP, 2023
25.苗圣法, 李文哲, 吕品, 张文, 肖枫, 王剑. 基于快递大数据的态势感知技术研究和应用, 信息技术与标准化, 6:84-90, 2022
26.Nie Y., Miao S. Shaping New Diplomacy Discourse in the Context of Globalization-- Mapping China's Belt and Road Initiative, IAPSS World Congress 2018, 2018
27.De Visser M., Miao S., Englebienne G., Sools A. and Visscher, K. Machine-based mapping of innovation portfolios, 18th International Continuous Innovation Network (CINet) Conference, 2017
28.Miao S., Vespier U., Meeng M., Cachucho R., and Knobbe A. Predefined pattern detection in large time series, Information Sciences, 329: 950-964, 2016
29.Miao S., Koenders E., and Knobbe A. Automatic baseline correction of strain gauge signals. Journal of Structural Control and Health Monitoring, 22(1):36-49, 2015
30.Miao S., Vespier U., Vanschoren J., Knobbe A., and Cachucho R. Modeling sensor dependencies between multiple sensor types, In Proceedings of BENELEARN, Nijmegen, the Netherlands, 2013
31.Miao S., Knobbe A., Koenders E., and Bosma C. Analysis of traffic effects on a Dutch highway bridge, In Proceedings of IABSE, Rotterdam, the Netherlands, 2013
32.Miao S., Veerman R., Koenders E., and Knobbe A. Modal analysis of a concrete highway bridge-structure calculations and vibration-based results. In Proceedings of international conference on structural health monitoring of intelligent infrastructure (SHMII), Hongkong, 2013
33.Veerman R., Miao S., Koenders E., and Knobbe A. Data intensive structural health monitoring in the Infawatch project. In Proceedings of international conference on structural health monitoring of intelligent infrastructure (SHMII), Hongkong, 2013
34.Vanschoren J., Vespier U., Miao S., Meeng M., Cachucho R., and A. Knobbe. Large-scale sensor network analysis: applications in structural health monitoring. In Big data management, technologies, and applications, pages 314-348, 2013
35.Miao S., Knobbe A., Vanschoren J., Vespier U., Koopman A., Cachucho R., and Chen X. A range of data mining techniques to correlate multiple sensor types. In Proceedings of DBDBD, Twente, the Netherlands, 2011
36.Vespier U, Knobbe A, Vanschoren J, Miao S., Koopman A., Obladen B., and Bosma C. Traffic events modeling for structural health monitoring. In Proceedings of IDA, pages 376-387, 2011
联合发表论文：
1.Yuying Zhao, Qian Jiang, Hongyue Huang, Li Tang, Shengfa Miao, Xin Jin, Contourlet-Mamba: Towards generalizable deepfake detection via multi-directional frequency fusion and long-range spatial modeling, Pattern Recognition, Volume 182, 114614, 2027
2.Peisong Huang, Xue Li, Puming Wang, Xin Jin, Shaowen Yao, Shengfa Miao, Adaptive distributed multi-objective collaborative traffic signal control framework based on multi-agent reinforcement learning, Future Generation Computer Systems, Volume 184, 108526, 2026
3.Jun Wu, Puming Wang, Xue Li, Xin Jin, Shaowen Yao and Shengfa Miao, PointGFAE: density-aware and attention-enhanced feature learning for point cloud classification, Journal of Electronic Imaging, 34(6): 063013, 2025
4.Jichao Wang, Xue Li, Puming Wang, Xin Jin, Shaowen Yao, Shengfa Miao, CS-DRL: A soft policy update approach for wireless bandwidth allocation using deep reinforcement learning, Future Generation Computer Systems, 177:108215, 2026
5.Xiaoxin Mao, Xue Li, Puming Wang, Xin Jin, Shengfa Miao, Peng Liu, Shaowen Yao, Siwang Yang, Polyhedral representations with high-frequency for three-dimensional point cloud classification, Engineering Applications of Artificial Intelligence, 59:111474, 2025
6.Hua Jiang, Wentao Luo, Zhifei Zheng, Shengfa Miao, Cheng Xie, A Novel Lower Bound and Dual Bounds Search for the Minimum Weight Dominating Set Problem, Frontiers in Artificial Intelligence and Applications, 413: 4782-4789, 2025
7.Yao, G., Jin, X., Jiang, Q. et al. DS-GAN: a dual sub-structure GAN for thermal infrared image colorization using U-Net with ConvNeXt and multi-scale large kernel attention. Vis Comput, 41:12441–12459, 2025
8.Ren, X., Qian, J., Jin, X., Wang, P., Chu, X., Yao, S., & Miao, S. Domain‐Aware Implicit Network for Arbitrary‐Scale Remote Sensing Image Super‐Resolution. Advanced Intelligent Discovery, 2025
9.Jin, Xin and Guo, Huanyu and Yu, Qian and Miao, Shengfa and Wang, Qianqian and Yu, Dongjian and Jiang, Qian, Pan-sharpening via mixed-input transformer and invertible neural network, Physica Scripta, 100(7):075508, 2025
10.Qiyuan Fan, Xue Li, Puming Wang, Xin Jin, Shawn Yao, Shengfa Miao, Ming An, Yuqing Zhao, IDAD: An improved tensor train based distributed DDoS attack detection framework and its application in complex networks, Future Generation Computer Systems, 162(3), 2025
11.Suqin Mao, Xing Chu, Qian Jiang, Shengfa Miao, Shaowen Yao, Jilin Lei, Robust Event-Triggered Stabilization of General Linear Time-Invariant System subject to Two Neglected Mismatched Disturbance Conditions, 2025
12.Xinfeng Shan, Jin Xin, Qian Jiang, Shengfa Miao, Puming Wang, Xing Chu, Multi-focus image fusion based on transformer and depth information learning, Computers & Electrical Engineering 119(9):109629, 2024
13.Jing Liu, Zhiqian Guan, Di Liu, Shengfa Miao, Fei Tai, Integrating Branching and Pruning for Efficient Hyperdimensional Computing, The 42nd IEEE International Conference on Computer Design (ICCD 2024), 2024
14.Yuru Koi, Qian Jiang, Jun Zhang, Xin Jin, Ping Wei, Shengfa Miao, Xing Chu, Learning dual aggregate features for face forgery detection, Neural Computing and Applications, 2024
15.Qian Jiang, Gulling Yao, Ming Feng, Xin Jin, Shengfa Miao, Yang Gal, Xiang Cheng, MCU-GAN: Colorization method for infrared images based on multi-convolution fusion and generative adversarial network, Infrared Physics & Technology, 145(3):105673, 2024
16.Qiyuan Fan, Xue Li, Puming Wang, Xin Jin, Shaowen Yao, Shengfa Miao, Sizhang Li, Min An, and Jing Xu, BDIP: An Efficient Big Data-Driven Information Processing Framework and Its Application in DDoS Attack Detection, IEEE Transactions on Network and Service Management, 2024
17.Quanli Wang, Qian Jiang, Yuting Feng, Shengfa Miao, Huangqimei Zheng, Xin Jin, Unsupervised Attention-Based Generative Adversarial Network for Remote Sensing Image Fusion, 2024 Twentieth International Conference on Intelligent Computing (ICIC 2024), Tianjin, 2024
18.Qian Jiang, Shuting Li, Dakai Sun, Yu Wang, Biaohua Liu, Shengfa Miao, Xin Jin, Mixed Feature Processing Model for Few-Shot Object Detection, 2024 Twentieth International Conference on Intelligent Computing (ICIC 2024), Tianjin, 2024
19.Xueshuai Gao, Xin Jin, Shengfa Miao, Qian Jiang, Yunyun Dong, Wei Zhou, Shaowen Yao, A Security Study of Multimodel Artificial Intelligence System: Adaptive Retention Attack for Object Detection System with Multifocus Image Fusion Model, Advanced Intelligent Systems, 2024
20.何德芬, 江倩, 金鑫, 冯明, 苗圣法, 易华松, 基于ConvNeXt的伪造人脸检测方法, 信息安全研究, 2024
21.Yang C., Wang J., Miao S., Zhao B., Jian M., Yang C. Boundary Coupling for Consensus of Nonlinear Leaderless Stochastic Multi-Agent Systems Based on PDE-ODEs. Mathematics, 10(21):4111, 2022
22.Xin Jin, Pingfan Zhang, Qian Jiang, Shengfa Miao, Shaowen Yao, Wei Zhou, F-UNet++: Remote Sensing Image Fusion Based on Multipurpose Adaptive Shuffle Attention and Composite Multi-input Reconstruction Network, IEEE Transactions on Instrumentation & Measurement, 72: 9501815, 2022
23.Chen X., Yao Y., Liu G., Su Y., Chen Y., and Miao S. Ibta: An ibt-tree based algorithm for RFID anti-collision. In Information Technology and Applications (IFITA), 2: 407-410, 2010
24.Chen X., Liu G., Yao Y., Chen Y., Miao S., and Su Y. Irbst: an improved RFID anti-collision algorithm based on regressive-style binary search tree. In Information Technology and Applications (IFITA), 2:403-406, 2010
25.Chen X., He Y., Chen P., Miao S., Song W., and Yue M. Hpfp-miner: A novel parallel frequent itemset mining algorithm. In Natural Computation (ICNC '09), 3:139-143, 2009
26.Chen X., Miao S., and Wang B. Design and implement of Chinese name search engine based on multidimensional data model. In Sciencepaper Online, 2008
软件著作权：
1.基于智能剪枝和交互的知识图谱系统（蜘网系统）, 2024SR1935696, 软著登字第14339569号
2.基于经验知识和深度学习模型的文本标注系统（金夫子系统）, 2024SR1928677, 软著登字第14332550号
3.非结构化文本数据资产化和应用查询系统（结绳系统）, 2025SR0006345, 软著登字第14662543号
4.算法和知识双驱的文本结构化系统（象笏系统）, 2025SR0006344, 软著登字第14662542号
专利发表：
1.高信噪比时间序列的基线检测方法、设备及存储介质, CN112347813B, 2024.07.09（授权）
2.一种警情级联分类模型的构建方法, CN117493996B, 2026.03.17（授权）
3.一种面向警情数据的实体关系分层抽取方法, CN117473999B, 2025.09.23（授权）
4.基于时间序列和话题相似度分析的社交舆情事件检测方法, CN116205225B, 2026.05.01（授权
5.异常寄递行为识别方法、装置、计算机设备及存储介质, CN113449112B, 2025.02.07（授权
6.一种基于特征融合与图文一致性的多模态假新闻检测方法, CN202410253307.6, 2024.05.28（公开）
7.距离跳变图与自适应负样本加权的地理POI重排序方法， CN122673423A，20260901（公开）
8.一种面向地址要素识别的边界混淆修复方法，CN122332749A，20260703（公开）
9.基于知识图谱和多神经网络的POI地址类型识别方法，CN120687614A，20250923（公开）
10.快递物流量双路径脉冲编码与频域感知预测方法，202610920797.X，20260706（受理）
11.基于多模态的语音情感识别方法和系统, CN202311495960.5, 2024.02.06（公开）
12.基于双重构自编码器的重叠社交群组发现方法, CN202311274191.6, 2023.12.26（公开）
指导学生获奖：
1.2022年第十一届“中国软件杯”大学生软件设计大赛，全国二等奖
2.2022年第十一届“中国软件杯”大学生软件设计大赛，全国三等奖
3.云南大学2023年校级大学生创新创业训练项目1项
4.云南大学2024年校级大学生创新创业训练项目2项
5.2024华为杯-第六届研究生人工智能创新大赛，全国三等奖
6.云南大学2025年校级大学生创新创业训练项目2项
7.2025第十八届大学生创新大赛，全国三等奖
8.2026 第三届AIGC创新赛西南赛区一等奖
9.2026 信息安全与对抗技术竞赛个人赛全国三等奖
毕业学生去向：
2人攻读博士学位
4人进国企
2人企业算法工程师
2人做军官，1人公安部
研究团队与大数据和人工智能企业保持密切合作，优秀的研究生和本科生可以直接推荐到公司实习。同时也欢迎留学生攻读硕士学位。
