Name：Yu Qing
Title：Professor
Type of tutor：Master's supervisor
Email：qyu@tjut.edu.cn
Address：7-310A
I am currently a professor and master's supervisor at School of Computer Science and Engineering, Tianjin University of Technology, P. R. China. In 2013, I received a Ph.D. from Tianjin University. I has authored more than 70 scientific articles in international conferences and journals. My research interests include artificial intelligence, big data analysis and processing, data mining, information security, and machine learning.
l Artificial Intelligence
l Big Data Analysis and Processing
l Data Mining
l Information Security
l Machine Learning
1. "Pervasive Computing Platform for RFID Application Systems", Tianjin Scientific and Technological Support Project
2. "Active Intrusion Prevention System", Tianjin Scientific and Technological Support Project
3. "Food Safety and Logistics Management System Based on RFID", Tianjin Scientific and Technological Support Project
4. "Intelligent Packaging and Management System Based on RFID", Tianjin Scientific and Technological Support Project
1. Qing Yu, Xiaowei Gu, "Customizable Modeling Method of Workflow Engine Used in Information System", CIIS 2017
2. Qing Yu, Xiaowei Gu, "Network Traffic Anomaly Detection Based on Dynamic Programming", CIIS 2017
3. Yu, Qing; Wang, Lihui, "Least Squares Twin SVM Decision Tree for Multi-Class Classification", CISP-BMEI 2016
4. Yu, Qing; Ding, Zhimin, "Improved Canopy-FCM Algorithm Based on MapReduce", CISP-BMEI 2016
5. Yu, Qing; Ding, Zhimin, "An Improved Fuzzy C-Means Algorithm Based on MapReduce", BMEI 2015
6. Yu, Qing; Liu, Rui, "Identification of Spam Based on Dependency Syntax and Convolutional Neural Network", CISP-BMEI 2018
7. Yu, Qing; Liu, Rui, "Least Squares Twin SVM Based on Partial Binary Tree Algorithm", CISP-BMEI 2018
8. Yu, Qing; Zhao, Hui, "Integrated Multi-Featured Android Malicious Code Detection", ICPCSEE 2019
9. Yu, Qing; Zhao, Hui, "Attention-Based Bidirectional Gated Recurrent Unit Neural Networks for Sentiment Analysis", AIPR 2019
10. Yu, Qing; Zhao, Hui; Jiang, Kaiwen, "Sentiment Analysis of Web Text Based on Deep Learning with an Attention Mechanism", CISP-BMEI 2019
11. Yu, Qing; Luo, Xixi; "Dynamic Detection of Malicious Code on Android Based on Improved Multi-Feature Gaussian Kernel", dvances in Natural Computation, Fuzzy Systems and Knowledge Discovery
12. Yu, Qing; Ma, Kuolang, "Android Malicious Code Detection Based on Secondary Pruning Optimization", CISP-BMEI 2019.
13. Yu, Qing; Wang, Ziyin; Jiang, Kaiwen, "Research on Text Classification Based on BERT-BiGRU Model", MOSTA 2020
14. Weizhi Ying; Qing Yu, "Recommendation Model Based on Social Homogeneity Factor and Social Influence Factor", CollaborateCom 2021
15. Weizhi Ying; Qing Yu, "Recommendation Model Based on Social Homogeneity Factor and Social Influence Factor", CollaborateCom 2021
16. Ying Weizhi; Yu Qing, "Recommendation Model Based on Rating Bias and Social Information", pplication Research of Computers, Vol. 39, July 2022
17. Wang Yifan; Yu, Qing, "Improved Global and Local Graph Neural Network for Session-Based Recommendation", CSCWD 2022
18. Yixuan Ge; Qing Yu, “AG: Sampling on Knowledge Graph for Recommendationwith Relational Path-aware Graph Neural Network”, 26th International Conference on ComputerSupported Cooperative Work in Design
19. Xuechang Zhao; Qing Yu; Yifan Wang, “Streaming Session Recommendation Based on User'sGlobal Attributes”, IEEE Symposium on Computers and Communications
20. Xuechang Zhao; Qing Yu, “SR-KGELS: Social Recommendation Based on Knowledge GraphEmbedding Method and Long-Short-Term Representation”, International Conference on Algorithms and Architectures for Parallel Processing
21. Feng, Yuan; Yu, Qing, “TSEGformer: Time-Space Dimension Dependency Transformer for Use inMultivariate Time Series Prediction”, Lecture Notes in Computer Science
22. Ma Yunpeng;Yu,Qing, “CGTS: A Transformer framework for time series prediction based on feature extraction”, CSCWD2024
23. Jinghong Yang；Qing Yu， “WDFormer: Acceptable Field Growth Transformer with Windows for Long Sequence Time-Series Forecasting”, CSCWD2024
24. Jinghong Yang；Qing Yu, “COFormer:Co-optimisation Transformer of Multilayer Perceptron and Dilated Causal Convolution for Long Sequence Time Series Forecasting”, IJCNN 2024
25. Jiaqian Bi；Zhilei Xu；Qing Yu， “Temporal Sequential Wave Neural Network for Solving the Optimal Cognitive Subgraph Query Problem”, ICIC 2024
26. Dong Zhen; Yu Qing, "A Fourier Decomposed Transformer with Inter-Intra Variable Fourier Dependencies for Multivariate Time Series Forecasting", CSCWD 2025
27. Guangzhen Wang; Qing Yu, "MSFformer: Multi-Scale Spatiotemporal Fusion Transformer with Preserving Non-Stationary Information for Time Series Forecasting", ICIC 2025
l Machine Learning (undergraduate)
l Data Mining (undergraduate)
l Stochastic Processes (graduate)
l Information Theory (undergraduate)
l Data Analysis Methods (undergraduate)
1. "Pervasive Computing Platform for RFID Application Systems", Second Prize of Tianjin Science and Technology Progress Award
2. "Active Intrusion Prevention System", Second Prize of Tianjin Science and Technology Progress Award
3. "Food Safety and Logistics Management System Based on RFID", Third Prize of Tianjin Science and Technology Progress Award
4. "Intelligent Packaging and Management System Based on RFID", Third Prize of Tianjin Science and Technology Progress Award
