Qiang QU is a full professor at Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences. He is currently the director of Guangdong Provincial Blockchain and Distributed IOT Security Engineering Research Center, and the deputy director of Shenzhen Key Laboratory on High-performance Data Mining. He is a senior member of the China Computer Federation. Qiang received his PhD from Aarhus University supervised by Obel Professor Christian S. Jensen in 2014. He has working experiences from Innopolis University, Carnegie Mellon University, ETH Zurich and Singapore Management University. His research endeavors focus on blockchain/Web3 technologies, databases, data mining, and advanced data intelligence systems. He joined Chinese Academy of Sciences at the end of 2016, and he was promoted to a full professor in 2020. He has been a principle investigtor (PI) for a number of projects, and he is now the chief scientist for a project supported by National key research and development program of China.
Multiple postdoc/assistant professor and Ph.D vacancies are available. If you are interested, please feel free to contact me (Email: qiang@siat.ac.cn).
Selected Publications
Papers
1. Karim, M. M., Van, D. H., Khan, S., Qu, Q., & Kholodov, Y. (2025). AI Agents Meet Blockchain: A Survey on Secure and Scalable Collaboration for Multi-Agents. Future Internet, 17(2), 57 (Full Paper，Download PPT, Paper Summary)
2. F. Abbasi, M. Muzzamal, Qiang Qu, F. Riaz, and J. Ashraf. SNCA: Semi-supervised Node Classification for Evolving Large Attributed Graphs. IEEE Big Data Mining and Analytics, 7(3), 794-808 (2024) (Corresponding, JCR Q1, IF 7.7)
3. Xuewen Dong, Jiachen Li, Shujun Li, Zhichao You, Qiang Qu, Yaroslav Kholodov, Yulong Shen. Adaptive Backdoor Attacks with Reasonable Constraints on Graph Neural Networks. IEEE Transactions on Dependable and Secure Computing (2025)(JCR Q1，IF 7)
4. S. Zhang, S. M. H. Bamakan, Qiang Qu and S. Li, "Learning for Personalized Medicine: A Comprehensive Review From a Deep Learning Perspective," in IEEE Reviews in Biomedical Engineering, vol. 12, pp. 194-208 (2019) (Corresponding, JCR Q1, IF 17.2)
5. Su Yao, Mu Wang, Qiang Qu, Ziyi Zhang, Yi-Feng Zhang, Ke Xu, Mingwei Xu: Blockchain-Empowered Collaborative Task Offloading for Cloud-Edge-Device Computing. IEEE J. Sel. Areas Commun. 40(12): 3485-3500 (2022) (JCR Q1, IF 13.8)
6. Seyed Mojtaba Hosseini Bamakan, Ildar Nurgaliev, Qiang Qu: Opinion leader detection: A methodological review. Expert Systems with Applications 115: 200-222 (2019) (Corresponding, JCR Q1, IF 7.5)
7. Qiang Qu, Ildar Nurgaliev, Muhammad Muzamma：On Spatio-temporal Blockchain Query Processing. Future Generation Computer Systems, 98, 208-218 (2019) (JCR Q1, IF 6.2)
8. Min Yang, Wenpeng Yin, Qiang Qu, Wenting Tu, Ying Shen, Xiaojun Chen: Neural Attentive Network for Cross-Domain Aspect-Level Sentiment Classification. IEEE Trans. Affect. Comput. 12(3): 761-775 (2021) (JCR Q1, IF 9.6)
9. Jiehuan Luo, Xin Cao, Xike Xie, Qiang Qu, Zhiqiang Liu, Christian S. Jensen. Efficient Attribute-Constrained Co-Located Community Search, ICDE 2020: 1201-1212 (Corresponding, CCF A)
10. Ali Hadian, Sadegh Nobari, Behrouz Minaei-Bidgoli, Qiang Qu: ROLL: Fast In-Memory Generation of Gigantic Scale-free Networks. SIGMOD Conference 2016: 1829-1842 (CCF A)
11. Feida Zhu, Qiang Qu, David Lo, Xifeng Yan, Jiawei Han, Philip S. Yu: Mining Top-K Large Structural Patterns in a Massive Network. Proc. VLDB Endow. 4(11): 807-818 (2011) (CCF A)
12. Qiang Qu, Siyuan Liu, Feida Zhu, Christian S. Jensen: Efficient Online Summarization of Large-Scale Dynamic Networks. IEEE Trans. Knowl. Data Eng. 28(12): 3231-3245 (2016) (JCR Q1, IF 8.9)
13. Qiang Qu, Susheng Zhang, S.M. Hosseini Bamakan, Christos Doulkeridris, George Vouros (2022). Understanding Health Data by Mobility Analytics. In: Faruque, F.S. (eds) Geospatial Technology for Human Well-Being and Health. Springer, Cham. https://doi.org/10.1007/978-3-030-71377-5_5
14. Qu Qiang, Lin Yimin. Blockchain + Artificial Intelligence: The Next New Economic Model to Change the World. Published by Posts & Telecom Press on April 1, 2019. ISBN: 9787115507990 (Chinese Monograph)
15. Qu Qiang et al. Information Infrastructure Construction and Technology Application in Emergency Logistics Systems. Published by China Fortune Publishing House in November 2024. ISBN: 978-7-5047-8312-7 (Supported by the National Key Publication Publishing Special Planning Project during the 14th Five-Year Plan Period) (Chinese Monograph)