何强 - 东北大学 - 医学与生物信息工程学院

个人简介

何强，男，工学博士，东北大学医学与生物信息工程学院副教授，硕士研究生导师。东北大学计算机应用技术专业博士毕业，2018年10月-2019年10月获得国家留学基金委资助到新加坡南洋理工大学进行博士联合培养。2020年6月加入东北大学医学与生物信息工程学院生物医学信息学系，从事机器学习、数据挖掘、生物医学信息学等方向教学研究工作。在IEEE Systems Journal，Information Sciences等国际期刊和会议上发表论文20余篇，其中SCI检索15余篇，授权国家发明专利2项；负责中央高校基本业务费1项，参与国家自然基金4项；荣获辽宁省自然学术成果1项、博士研究生国家奖学金2次、沈阳市优秀研究生等荣誉称号。个人主页：http://faculty.neu.edu.cn/bmie/heqiang/

研究领域

1. 机器学习算法：群智能优化、多智能体、深度强化学习； 2. 数据挖掘：影响最大化、医疗信息的传播与推广、医疗大数据分析； 3. 传染病信息学：传染病模型，传染病传播的抑制； 4. 远程医疗（资源分配）、医疗机器人、健康信息学。

近期论文

查看导师最新文章（温馨提示：请注意重名现象，建议点开原文通过作者单位确认）

1.Qiang He, Xingwei Wang, Bo Yi, et al. Opinion Maximization through Unknown Influence Power in Social Networks under Weighted Voter Model, IEEE Systems Journal, 2019. (SCI, IF:4.463, JCR Q1) 2.Qiang He, Xingwei Wang, Min Huang, et al. CIMOF: A Community-based Framework to Tackle Influence Maximization for Opinion Formation in Social Networks, Information Sciences, 2020. (SCI, IF: 5.525, JCR Q1) 3.Qiang He, Xingwei Wang, Min Huang, et al. Heuristics-based Influence Maximization for Opinion Formation in Social Networks, Applied Soft Computing, 2018. (SCI, IF:4.837, JCR Q1) 4.Qiang He, Xingwei Wang, Min Huang, et al. TIFIM: A Two-stage Iterative Framework for Influence Maximization in Social Networks, Applied Mathematics and Computation, 2019. (SCI, IF:3.09, JCR Q1) 5.Fubing Mao, Lijia Ma, Qiang He*, et al. Match Making in Complex Social Networks. Applied Mathematics and Computation, 2019. (SCI, IF:3.09, JCR Q1) 6.Qiang He, Xingwei Wang, Chuangchuang Zhang, et al. IIMOF: An Iterative Framework to Settle Influence Maximization for Opinion Formation in Social Networks, IEEE Access, 2018. (SCI, IF:4.098, JCR Q1) 7.Qiang He, Xingwei Wang, Yuliang Cai, et al. An Adaptive Approach for Handling Two-dimension Influence Maximization in Social Networks, International Journal of Communication Systems, 2018. (SCI, IF:1.278, JCR Q3) 8.Qiang He, Zhencheng Lei, Xingwei Wang, et al. An Effective Scheme to Address Influence Maximization for Opinion Formation in Social Networks, Transactions on Emerging Telecommunications Technologies, 2019. (SCI, IF:1.258, JCR Q4) 9.Qiang He, Xingwei Wang, Min Huang. OpenFlow-based Low-overhead and High-accuracy SDN Measurement Framework, Transactions on Emerging Telecommunications Technologies, 2018. (SCI, IF:1.258, JCR Q4) 10.Yuliang Cai, Huaguang Zhang, Qiang He, et al. A Novel Framework of Fuzzy Oblique Decision Tree Construction for Pattern Classification, Applied Intelligence, 2018. (SCI, IF:2.88, JCR Q2) 11.Qiang He, Hui Fang, Jie Zhang, Xingwei Wang. Dynamic Opinion Maximization in Social Networks, IEEE Transactions on Knowledge and Data Engineering, 2020. Under Review (SCI, IF: 3.857, JCR Q1) 12.Qiang He, Xingwei Wang, Min Huang, et al. Positive Opinion Maximization in Signed Social Networks, Information Sciences, 2020. Major Revision (SCI, IF: 5.525, JCR Q1)