Qin Zhao, Associate Professor, member of the 15th Committee of the Political Consultative Conference of Xuhui District, Shanghai; leader of the Intelligent Social and Scientific Computing Group; Senior Member of IEEE; Distinguished Member of the China Computer Federation (CCF); Deputy Director of the Shanghai Engineering Research Center for Intelligent Education and Big Data; concurrently serves as Secretary General of the CCF Innovation Forum on Science Education. He received his Ph.D. in Embedded Systems and Service Computing of the Key Laboratory of the Ministry of Education at Tongji University in 2016, under the supervision of Academician Changjun Jiang.

He has hosted over more than ten major scientific research projects, including a sub-topic of the National Key R&D Program, the National Natural Science Foundation of China, a major science and technology project of Shanghai Zhangjiang Science City, and projects from the State Key Laboratory of the Ministry of Education, as well as projects commissioned by the Shanghai Municipal Science and Technology Commission, the Municipal Education Commission, and the Municipal Commission of Economy and Informatization. He has also participated as a key researcher in national research programs such as the 973 Program, the 863 Program, major research plans of the National Natural Science Foundation, and major municipal science and technology initiatives in Shanghai.

He has published more than fifty academic papers in high-level international journals and conferences such as IEEE TNNLS, TSMC, TCSS, EWSA, Neurocomputing, and IJCAI, and applied for more than ten invention patents. He has received the Second Prize of the Shanghai Science and Technology Progress Award, and the First Prize of the Science and Technology Progress Award of the Shanghai Computer Society.

Visit the group website https://issc.group for more information.

Main Research Areas:
 Intelligent education, social network analysis, financial risk prevention and control, atmospheric environment prediction.

Major Research Projects:

[1]  Subproject of the National Key R&D Program System Software for Micro-scale Data Centers (Grant No. 2022YFB4501700): Data In-situ Computation and Thermal-guided Storage Technology, Principal Investigator, ongoing.

[2]  Youth Program of the National Natural Science Foundation Research on Key Technologies of Sentiment-based Information Recommendation in Social Networks (Grant No. 61702333), Principal Investigator, completed.

[3]  Policy Consultation Project of the Shanghai Municipal Commission of Economy and Informatization Trends and Policy Research of Vocational Education in the Age of Artificial Intelligence, Principal Investigator, ongoing.

[4]  Research Base Project of the Shanghai Municipal Education Commission AI-driven Online Remote Intelligent Education Model and Construction Path, Principal Investigator, completed.

[5]  Open Project of the State Key Laboratory of Embedded Systems and Service Computing Research on Information Representation Methods in Social Networks under Big Data Environment (Grant No. ESSCKF2019-03), Principal Investigator, completed.

[6]  Open Project of the State Key Laboratory of Embedded Systems and Service Computing Research on Sentiment-based Hybrid-domain Social Network Information Recommendation Methods (Grant No. ESSCKF2016-01), Principal Investigator, completed.

[7]  Young Faculty Development Program of Shanghai Higher Education Institutions Overlapping Community Detection Based on User Sentiment, Principal Investigator, completed.

[8]  Teaching Reform Project of Shanghai Normal University Digital Course Construction of Linear Algebra under the Perspective of New Engineering, Principal Investigator, completed.

[9]  National Basic Research Program of China (973 Program) Research on the Model and Mechanism of Information Services (Grant No. 2010CB328100), participating researcher, completed.

[10] Integrated Project of the Major Research Plan of the National Natural Science Foundation Experimental Environment and Demonstration Application for Trusted Network Transaction Software Systems (Grant No. 91218301), participating researcher, ongoing.

[11] National High-tech R&D Program (863 Program) Research on Pathological Models of Software Security and Their Detection and Prevention Technologies (Grant No. 2009AA01Z401), participating researcher, completed.

[12] Major Basic Research Project in the Field of Basic Sciences in Shanghai Basic Research on Computational Models for Large-scale Information Flow Processing (Grant No. 10DJ1400300), participating researcher, completed.

Representative Publications ( * indicates corresponding author )

Social Network Analysis:

[1] Q. Zhao, P. Wu, G. Liu, D. An, J. Lian*, and M. Zhou, "Sociological-Theories-Based Multi-Topic Self-Supervised Recommendation," IEEE Transactions on Neural Networks and Learning Systems, vol. 36, no. 6, pp. 11228–11242, 2025. (SCI, CAS Zone 1, TOP Journal)

[2] Q. Zhao, C. Wang, P. Wang, M. Zhou, and C. Jiang*, "A Novel Method on Information Recommendation via Hybrid Similarity," IEEE Transactions on Systems, Man, and Cybernetics: Systems, vol. 48, no. 3, pp. 448–459, 2018. (SCI, CAS Zone 1, TOP Journal)

[3] P. Wu, H. Qi, S. Huang, D. An, J. Lian, and Q. Zhao*, "Wave-driven Graph Neural Networks with Energy Dynamics for Over-smoothing Mitigation," in Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence (IJCAI-25), 2025, pp. 6579–6587. (Top AI Conference, CCF-A)

Financial Risk Prevention:

[4] Q. Zhao, J. Huang, G. Liu*, Y. Miao, and P. Wang*, "A Multiinterest and Social Interest-Field Framework for Financial Security," IEEE Transactions on Computational Social Systems, vol. 11, no. 2, pp. 1685–1695, 2024. (SCI, CAS Zone 2, Top Journal in Computational Social Systems)

[5] D. An, Y. Yang, X. Gao, H. Qi, Y. Yang, X. Ye, M. Li, and Q. Zhao*, "Reinforcement Learning-Based Secure Training for Adversarial Defense in Graph Neural Networks," Neurocomputing, vol. 630, pp. 129704, 2025. (SCI, CAS Zone 2, TOP Journal)

Atmospheric Environment Prediction:

[6] Q. Zhao, J. Liu, X. Yang, H. Qi, and J. Lian*, "Spatiotemporal PM2.5 Forecasting via Dynamic Geographical Graph Neural Network," Environmental Modelling and Software, vol. 186, pp. 106351, 2025. (SCI, CAS Zone 2)

[7] J. Lian, X. Wang, S. Huang, D. Wang, and Q. Zhao*, "AirMamba: A Deep Learning Framework for Long-Term PM2.5 Forecasting Integrating Multi-Scale Correlations and Time-Frequency Dynamics," Expert Systems with Applications, 2025. (SCI, CAS Zone 1, TOP Journal)

[8] J. Lian, J. Shao, H. Yu, R. Chen, S. Huang, G. Chen, and Q. Zhao*, "Multi-modal Fusion Learning for Predicting Tropical Cyclone Intensity over Western North Pacific," IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 18, pp. 7048–7063, 2025. (SCI, CAS Zone 2, TOP Journal)

2025:

[1] Q. Zhao, P. Wu, G. Liu, D. An, J. Lian*, and M. Zhou, "Sociological-Theories-Based Multi-Topic Self-Supervised Recommendation," IEEE Transactions on Neural Networks and Learning Systems, vol. 36, no. 6, pp. 11228–11242, 2025. (SCI, CAS Zone 1, TOP Journal)

[2] Q. Zhao, J. Liu, X. Yang, H. Qi, and J. Lian*, "Spatiotemporal PM2.5 Forecasting via Dynamic Geographical Graph Neural Network," Environmental Modelling and Software, vol. 186, pp. 106351, 2025. (SCI, CAS Zone 2)

[3] D. An, Y. Yang, X. Gao, H. Qi, Y. Yang, X. Ye, M. Li, and Q. Zhao*, "Reinforcement Learning-Based Secure Training for Adversarial Defense in Graph Neural Networks," Neurocomputing, vol. 630, pp. 129704, 2025. (SCI, CAS Zone 2, TOP Journal)

[4] Q. Zhao, G. Yang, Y. Miao, J. Lian, H. Qi*, and Z. Kou, "Adaptive Sampling-based Heterogeneous Graph Enhancement," Computing and Informatics, vol. 44, no. 3, 2025. (SCI)

[5] J. Lian, J. Shao, H. Yu, R. Chen, S. Huang, G. Chen, and Q. Zhao*, "Multi-modal Fusion Learning for Predicting Tropical Cyclone Intensity over Western North Pacific," IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 18, pp. 7048–7063, 2025. (SCI, CAS Zone 2, TOP Journal)

[6] P. Wu, H. Qi, S. Huang, D. An, J. Lian, and Q. Zhao*, "Wave-driven Graph Neural Networks with Energy Dynamics for Over-smoothing Mitigation," in Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence (IJCAI-25), 2025, pp. 6579–6587. (Top AI Conference, CCF-A)

[7] J. Lian, X. Wang, S. Huang, D. Wang, and Q. Zhao*, "AirMamba: A Deep Learning Framework for Long-Term PM2.5 Forecasting Integrating Multi-Scale Correlations and Time-Frequency Dynamics," Expert Systems with Applications, 2025. (SCI, CAS Zone 1, TOP Journal)

[8] X. Yang, X. Li*, and Q. Zhao, "A Multi-View Fusion Data-Augmented Method for Predicting BODIPY Dye Spectra," Mathematics, vol. 13, no. 18, pp. 2947, 2025. (SCI, JCR Q1)

2024:

[1] Q. Zhao, J. Huang, G. Liu*, Y. Miao, and P. Wang*, "A Multiinterest and Social Interest-Field Framework for Financial Security," IEEE Transactions on Computational Social Systems, vol. 11, no. 2, pp. 1685–1695, 2024. (SCI, CAS Zone 2, Top Journal in Computational Social Systems)

[2] Q. Zhao, F. Yang, D. An, and J. Lian*, "Modeling Structured Dependency Tree with Graph Convolutional Networks for Aspect-level Sentiment Classification," Sensors, vol. 24, no. 2, pp. 418, 2024. (SCI)

[3] Q. Zhao, C. Yu, J. Huang, J. Lian, and D. An*, "Sentiment Analysis Based on Heterogeneous Multi-relation Signed Network," Mathematics, vol. 12, no. 2, pp. 331, 2024. (SCI, JCR Q1)

[4] Q. Zhao, Y. Miao, D. An, J. Lian*, and M. Li, "HGNN-QSSA: Heterogeneous Graph Neural Networks with Quantitative Sampling and Structure-aware Attention," IEEE Access, vol. 12, pp. 25512–25524, 2024. (SCI)

[5] Q. Zhao, Y. Miao, J. Lian, X. Li, and D. An*, "Louvain-Based Fusion of Topology and Attribute Structure of Social Networks," Computing and Informatics, vol. 43, no. 1, pp. 94–125, 2024. (SCI)

[6] C. Yu, X. Lin, Y. Yan, Y. Cheng, H. Wang, Y. Huang, W. Zhao, L. Liu, Q. Zhao*, J. Wang*, and L. Zhang*, "AbDPP: Target-oriented Antibody Design with Pre-training and Prior Biological Structure Knowledge," Proteins: Structure, Function, and Bioinformatics, vol. 92, no. 10, pp. 1147–1160, 2024. (SCI)

[7] J. Lian, S. Wu, S. Huang, and Q. Zhao*, "A Novel Sequence-to-Sequence Based Deep Learning Model for Satellite Cloud Image Time Series Prediction," Atmospheric Research, vol. 306, pp. 107457, 2024. (SCI, CAS Zone 2, TOP Journal)

[8] Q. Zhao, P. Wu, J. Lian, D. An*, and M. Li, "TaneNet: Two-level Attention Network Based on Emojis for Sentiment Analysis," IEEE Access, vol. 12, pp. 86106–86119, 2024. (SCI)

[9] D. An, Z. Pan, Q. Zhao, W. Liu, and J. Liu*, "Unsupervised Graph Structure Learning Based on Optimal Graph Topology Modeling and Adaptive Data Augmentation," Mathematics, vol. 12, no. 13, pp. 1991, 2024. (SCI, JCR Q1)

[10] D. An, Y. Yang, W. Liu, Q. Zhao, J. Liu, H. Qi, and J. Lian*, "A Secure GNN Training Framework for Partially Observable Graph," Electronics, vol. 13, no. 14, pp. 2721, 2024. (SCI)

[11] D. An, H. Zhang, Q. Zhao, J. Liu, J. Shi*, Y. Huang, Y. Yang, X. Liu, and S. Qin, "Graph Convolutional Network Robustness Verification Algorithm Based on Dual Approximation," in Proceedings of International Conference on Formal Engineering Methods, pp. 146–161, 2024. (CCF-C)

2023:

[1] Q. Zhao, G. Liu, F. Yang, R. Yang*, Z. Kou, and D. Wang, "Self-Supervised Signed Graph Attention Network for Social Recommendation," in Proceedings of the International Joint Conference on Neural Networks, pp. 1–9, 2023. (CCF-C)

[2] H. Huang, P. Wang*, Z. Zhang, and Q. Zhao, "A Spatio-Temporal Attention-based GCN for Anti-Money Laundering Transaction Detection," in Proceedings of the 19th International Conference on Advanced Data Mining and Applications, pp. 634–648, 2023. (CCF-C)

2022:

[1] Q. Zhao, Z. Zhou, J. Li, S. Jia, and J. Pan*, "Time-Dependent Prediction of Microblog Propagation Trends Based on Group Features," Electronics, vol. 11, no. 16, pp. 2585, 2022. (SCI)

[2] N. Fu, Q. Zhao*, Y. Miao, B. Zhang, and D. Wang, "A Representation Learning Method of Graph Convolutional Network Based on Structure Enhancement," Computing and Informatics, vol. 41, no. 6, pp. 1563–1588, 2022. (SCI)

[3] J. Pan, H. Li, J. Teng, Q. Zhao*, and M. Li*, "Dynamic Network Representation Learning Method Based on Improved GRU Network," Computing and Informatics, vol. 41, no. 6, pp. 1491–1509, 2022. (SCI)

Before 2021:

[1] Q. Zhao*, C. Wang, and C. Jiang, "HSim: A Novel Method on Similarity Computation by Hybrid Measure," in Proceedings of IEEE International Conference on Information and Communication Systems (ICICS), pp. 160–165, 2015. (EI)

[2] Q. Zhao, C. Wang, and P. Wang, "A User Recommendation Method in Social Networks Based on Community Classification," Computer Science, vol. 43, no. 5, pp. 198–203, 2016. (CCF-B)

[3] Q. Zhao, Y. He, C. Jiang*, P. Wang, M. Qi, and M. Li, "Integration of Link and Semantic Relations for Information Discovery and Recommendation," Computing and Informatics, vol. 35, no. 1, pp. 30–54, 2016. (SCI)

[4] B. Zhang, H. Zhang, M. Li*, Q. Zhao, and J. Huang, "Trust Traversal: A Trust Link Detection Scheme in Social Network," Computer Networks, vol. 120, pp. 105–125, 2017. (SCI)

[5] B. Zhang, C. Mu, Q. Zhao*, Z. Peng, J. Ding, and B. Liu, "A Multidimensional Comprehensive Recommendation Method Based on Social Network," in Proceedings of 5th International Conference on Advanced Cloud and Big Data (CBD), Shanghai, China, Aug. 13–16, 2017. (EI)

[6] B. Zhang, Y. Jin, Q. Zhang, Q. Zhao, and J. Wang, "On a New Big Data Organization Framework for Online Educational Resources," China Educational Technology, no. 3, pp. 41–46, 2018. (CSSCI)

[7] Q. Zhao, C. Wang, P. Wang, M. Zhou, and C. Jiang*, "A Novel Method on Information Recommendation via Hybrid Similarity," IEEE Transactions on Systems, Man, and Cybernetics: Systems, vol. 48, no. 3, pp. 448–459, 2018. (SCI, CAS Zone 1, TOP Journal)

[8] D. Qin, J. Yu, G. Zou, R. Yong, Q. Zhao*, and B. Zhang*, "A Novel Combined Prediction Scheme Based on CNN and LSTM for Urban PM2.5 Concentration," IEEE Access, vol. 7, pp. 20050–20059, 2019. (SCI)

[9] W. Liu, P. Wang*, Y. Meng, Q. Zhao*, C. Zhao, and Z. Zhang, "A Novel Model for Optimizing Selection of Cloud Instance Types," IEEE Access, vol. 7, pp. 120508–120521, 2019. (SCI)

[10] D. Qin, Z. Ding, Y. Jin, Q. Zhao*, "Air Pollutant Concentration Prediction Based on Autoencoder Network," Journal of Tongji University: Natural Science Edition, vol. 47, no. 5, pp. 681–687, 2019. (EI)

[11] S. Huang, Q. Zhao*, X. Xu, B. Zhang*, and D. Wang, "Emojis-Based Recurrent Neural Network for Chinese Microblogs Sentiment Analysis," in Proceedings of IEEE International Conference on Service Operations and Logistics, and Informatics (SOLI), pp. 59–64, Nov. 2019. (EI)

[12] D. Qin, J. Yu, B. Zhang, Q. Zhao*, "A Parallel Query Platform for Massive Data Based on Distributed Shared-Nothing Architecture," Computer Science, vol. 46, no. 4, pp. 44–49, 2019. (CCF-B)

[13] B. Zhang, L. Zhang, C. Mu, Q. Zhao, Q. Song, and X. Hong*, "A Most Influential Node Group Discovery Method for Influence Maximization in Social Networks: A Trust-Based Perspective," Data & Knowledge Engineering, vol. 121, pp. 71–87, 2019. (SCI, CCF-B)

[14] C. Wang, H. Zhu, C. Wang, Q. Zhao, and B. Zhang, "Transport Complexity of Data Dissemination in Large-Scale Online Social Networks," in Proceedings of the ACM Turing Celebration Conference-China, pp. 1–5, 2019. (EI)

[15] G. Zou, B. Zhang*, R. Yong, D. Qin, and Q. Zhao, "FDN-learning: Urban PM2.5-concentration Spatial Correlation Prediction Model Based on Fusion Deep Neural Network," Big Data Research, vol. 26, pp. 100269, 2021. (SCI)

• Second Prize, Shanghai Science and Technology Awards (2024) – Second Principal Contributor

• First Prize, Science and Technology Awards of the Shanghai Computer Society (2024) – Third Principal Contributor

• Advanced Individual in Social Services, Shanghai Municipal Committee of Jiusan Society (2024)

• Outstanding Member, Jiusan Society Committee of Shanghai Normal University (2023)

• Distinguished Communicator Award, China Computer Federation (CCF) (2023)

• Excellent Teacher, Shanghai Normal University (2023)

• Distinguished Communicator Award, China Computer Federation (CCF) (2022)

• Meicheng Teaching Award, Shanghai Normal University (2022)

• Key Innovation Team in Digital Humanities Resource and Research, Shanghai (2021)

• Second Prize for Teaching Achievements, Shanghai Society for Computer Science (2021)

• Second Prize for Teaching Achievements, Shanghai Normal University (2021)

• Merit Award, Shanghai Normal University (2019)

Council Member of the 15th Committee of Xuhui District, Shanghai

Deputy Director of Shanghai Engineering Research Center for Intelligent Education and Big Data

Senior Member, IEEE

Distinguished Member, CCF

Secretary General of the Innovation Forum on Science and Education, China Computer Federation

Specialty Committee Member of Network Computing, Chinese Association of Automation

Specialty Committee Member of Education, China Computer Federation

Specialty Committee Member of Natural Computing and Digital Smart Cities, China Association of Artificial Intelligence

Communication Reviewer of National Natural Science Fundation of China