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BaseInfo

  • Appointment Post:Associate Professor
  • Academic Credentials:Postgraduate
  • Tel:021-57122592
  • Email:q_zhao@shnu.edu.cn
  • Department:Department of Computer Science and Technology
  • Degree:Ph.D.
  • Graduate School:Tongji Univ.
  • Office Location:Sci-Tech Building A810

ResearchDirection

Dr. Qin Zhao received his Ph.D. degree from the Department of Computer Science and Technology, Tongji University, in 2016. Currently, he is an Associate Professor with the Department of Computer Science and Technology, Shanghai Normal University. He also serves as the Deputy Director of Shanghai Engineering Research Center of Intelligent Education and Big Data, and the Director of the Research Group of Intelligent Social and Scientific Computing. He is recognized as a Senior Member of both the IEEE and CCF. He has published more than 30 papers in premier international journals and conferences, including IEEE Transactions on Neural Networks and Learning Systems, IEEE Transactions on Systems, Man, and Cybernetics: Systems, IEEE Transactions on Computational Social Systems, and so on. His research interests include but are not limited to new-generation artificial intelligence technologies, social network analysis, data mining, and intelligence in scientific computing.


Projects in Progress:

[1] National Key Research and Development Program of China, "Design and Business Management of Micro-scale Virtual In-situ Data Centers" (No.2022YFB4501704).

[2] National Natural Science Foundation of China, "Key Technologies of Sentiment-Based Information Recommendation on Social Networks" (No. 61702333).

[3] Opening Topic of Key Laboratory of Embedded Systems and Service Computing of Ministry of Education, "Research on Sentiment-Based Information Recommendation on Hybrid Social Networks" (No. ESSCKF 2016-01).

[4] Opening Topic of Key Laboratory of Embedded Systems and Service Computing of Ministry of Education, "Research on Information Representation of Social Networks under Big Data Environment" (No. ESSCKF 2019-03).

AcademicAchievement

Representative Papers:

[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, Accpeted, 2024. (SCI, JCR Q1, 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, JCR Q1, Top Journal)

[3]  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, Cited over 250 times)

[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, JCR Q1, Top Journal)

[5]  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, JCR Q1, Top Journal)


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, JCR Q1, Top Journal)

[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, JCR Q1, Top Journal)

[8]  Q. ZhaoP. 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]  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, Accpeted, 2024. (SCI, JCR Q1, Top Journal)

[10] Q. Zhao, G. Yang, Y. Miao, J. Lian, H. Qi*, and Z. Kou, Adaptive Sampling-based Heterogeneous Graph Enhancement,” Computing and Informatics, Minor Revision. (SCI)

[11]  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) 

[12] 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)

 

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]  赵勤, 王成, 王鹏伟. 一种基于社区分类的社交网络用户推荐方法[J]. 计算机科学, 2016, 43(5): 198-203. (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, 2017.08.13-08.16. (EI)

[6]  张波, 金玉鹏, 张倩, 赵勤, 王娇燕. 试论一种新型在线教育资源大数据组织框架, 中国电化教育, 2018 (3): 41-46. (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, 中科院一区, TOP期刊)

[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] 秦东明, 丁志军, 金玉鹏, 赵勤*. 基于自编码网络的空气污染物浓度预测[J]. 同济大学学报: 自然科学版, 2019, 47(5): 681-687. (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, November 2019. (EI)

[12] 秦东明, 喻剑, 张波, 赵勤*. 基于分布式无共享架构的海量数据并行查询平台[J]. 计算机科学, 2019, 46(4): 44-49. (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)

[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)



HonorReward

2023 Distinguished Communicator of China Computer Federation

2023 Excellent Teacher of Shanghai Normal University

2022 Distinguished Communicator of China Computer Federation


SocialAppointments

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

IEEE Senior Member

CCF Senior Member

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

ACM Turing Celebration Conference (China) Web Chair

Communication Reviewer of National Natural Science Fundation of China

Reviewer of Premier Journals, such as IEEE Transactions on Knowledge and Data Engineering, IEEE Transactions on Systems, Man, and Cybnertics: Systems, IEEE Transactions on Big Data, and IEEE Transactions on Computational Social Systems, etc.