I received the Ph.D. degree in computer application technology from the Northeastern University, Shenyang, China in 2020. I also worked with School of Computer Science and Technology, Nanyang Technical University, Singapore as a visiting PhD researcher from 2018 to 2019. I am currently an Associated Professor at the College of Medicine and Biological Information Engineering, Northeastern University, Shenyang, China. My research interests include machine learning, social network analytic, data mining, health care, infectious diseases informatics, etc.  Published or accepted over 90 papers in renowned international journals and conferences, including IEEE Transactions on Knowledge and Data Engineering, IEEE Transactions on Neural Networks and Learning Systems, IEEE Transactions on Cybernetics, IEEE Transactions on Computational Social Systems, and NeurIPS, with more than 70 papers indexed by SCI. As the first or corresponding author, published 23 CCF A-tier, IEEE/ACM journal, or JCR Q1 papers (15 of which are CCF A, IEEE/ACM Transactions), with 4 highly cited or hot papers.The highest impact factor (IF) for a single SCI paper is 10.4, with a cumulative IF of 172.5 (500.58 when including co-authored papers). The highest number of citations for a single SCI paper is 103, and the total citations in SCI-indexed journals amount to 864.

In social network information dissemination, proposed a data-driven dynamic opinion propagation model and constructed a multi-stage propagation model to dynamically simulate the node dissemination process. This work, published in IEEE TKDE (CCF A, highly cited), received positive feedback and citations from IEEE/ACM Fellows, ACM TKDD editor-in-chief, and Professor Philip S. Yu. Additionally, it earned first prize at the Liaoning Provincial Computer Society Annual Conference (2021, ranked 1st), third prize in the Liaoning Province Natural Academic Achievement Award (2023, ranked 1st), and a Best Paper Award at an international conference.

In edge computing offloading, addressed the unique privacy and security needs for medical data offloading by proposing a blockchain-based medical data offloading mechanism. This work, published in IEEE TON (CCF A, highly cited/hot), received positive evaluations and citations from Academy of Europe Fellow (Head of Informatics), IEEE Fellow, and President of the Asia-Pacific Artificial Intelligence Association (AAIA) SchahramDustdar. It also won a Best Paper Award at an international conference.

In infectious disease spread and control, conducted research on heterogeneous graph neural network-based infectious disease propagation models and tracing methods, providing robust support for forecasting and mitigating the spread of infectious diseases. This work was accepted at NeurIPS (CCF A) and awarded first prize at the Liaoning Provincial Computer Society Annual Conference (2022, ranked 1st) and the Best Researcher Award at the International Research Awards on Infectious Diseases.

• Machine Learning
• Social Network Analytic
• Data Mining
• Health Care
• Infectious Diseases Informatics

• He Q, Fang H, Zhang J, et al. Dynamic opinion maximization in social networks[J]. IEEE Transactions on Knowledge and Data Engineering, 2021, 35(1): 350-361. (SCI, CCF A)
• He Q, Feng Z, Fang H, et al. A blockchain-based scheme for secure data offloading in healthcare with deep reinforcement learning[J]. IEEE/ACM Transactions on Networking, 2023, 32(1): 65-80. (SCI, CCF A)
• He Q, Feng Z, Zhao L, et al. Low-cost data offloading strategy with deep reinforcement learning for smart healthcare system[J]. IEEE Transactions on Services Computing, 2024. (SCI, CCF A).
• He Q, Z. Xi, et al. Telemedicine Monitoring System Based on Fog/Edge Computing: A Survey, IEEE Transactions on Services Computing, 2024 (SCI, CCF A).
• He Q, H. Fang, X. Wang, et al. Multi-stage Competitive Opinion Maximization with Q-learning Approach in Social Networks, IEEE Transactions on Neural Networks and Learning Systems, 2024 (SCI, CCF B, JCR Q1).
• He Q, Wang Y, Wang X, et al. Routing Optimization With Deep Reinforcement Learning in Knowledge Defined Networking[J]. IEEE Transactions on Mobile Computing, 2023.
• He Q, Yan X, Wang X, et al. Dynamic Opinion Maximization Framework With Hybrid Method in Social Networks[J]. IEEE Transactions on Network Science and Engineering, 2022, 10(1): 441-451.
• He Q, Zhang D, Wang X, et al. Graph convolutional network-based rumor blocking on social networks[J]. IEEE Transactions on Computational Social Systems, 2022
• He Q, Du H, Liang Z. Positive Influence Maximization in Signed Networks Within a Limited Time[J]. IEEE Transactions on Computational Social Systems, 2022
• He Q, Lv Y, Zhen L, et al. Reinforcement Learning Based MEC Architecturewith Energy-Efficient Optimization for ARANs[C]//ICC 2022-IEEE International Conference on Communications. IEEE, 2022: 1-6

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