11/2018-至今：河北大学，网络空间安全与计算机学院，副教授09/2015-08/2018: University of Central Florida （美国中佛罗里达大学），计算机科学 ，博士09/2012-06/2015: University of Wyoming （美国怀俄明大学），计算机科学，硕士07/2009-11/2011：华为赛门铁克有限公司（原华为子公司） 软件工程师及产品数据工程师09/2006-06/2009: 成都理工大学， 管理科学与工程，硕士09/2002- 06/2006: 河北大学，数学与应用数学，学士
研究领域
大数据、并行计算、高性能计算及云计算
近期论文
Hong Zhang, Hai Huang, and Liqiang Wang. Meteor: Optimizing spark-on-yarn for short applications[J]. Future Generation Computer Systems, 2019.Hong Zhang, Hai Huang, and Liqiang Wang. MRapid: An Efficient Short Job Optimizer on Hadoop . In the 31st IEEE International Parallel & Distributed Processing Symposium (IPDPS-2017).Hong Zhang, Liqiang Wang, Hai Huang. SMARTH: Enabling Multi-Pipeline Data Transfer in HDFS . In the 43nd International Conference on Parallel Processing (ICPP-2014).Hong Zhang, Zhibo Sun, Zixia Liu, Chen Xu, and Liqiang Wang. DART: A Geographic Information System on Hadoop. In the IEEE 8th International Conference on Cloud Computing (IEEE Cloud-2015) (Research Track).Hong Zhang, Zixia Liu, Liqiang Wang. Tuning Performance of Spark Programs. In Doctoral Symposium, the 2018 IEEE International Conference on Cloud Engineering (IC2E-2018).Hong Zhang, Hai Huang, and Liqiang Wang. FTSGD: An Adaptive Stochastic Gradient Descent Algorithm for Spark MLlib. In the 16th IEEE International Conference on Pervasive Intelligence and Computing (PICom-2018).Zhibo Sun, Hong Zhang, Zixia Liu, Chen Xu, and Liqiang Wang. Migrating GIS Big Data Computing from Hadoop to Spark: An Exemplary Study Using Twitter. In the 9th IEEE International Conference on Cloud Computing (IEEE Cloud-2016) (Research Track).Zixia Liu, Hong Zhang, and Liqiang Wang. Hierarchical Spark: A Multi-cluster Big Data Computing Framework . In the the 10th IEEE International Conference on Cloud Computing (IEEE Cloud).Zixia Liu, Hong Zhang, Bingbing Rao, Liqiang Wang. A Reinforcement Learning Based Resource Management Approach for Time-critical Workloads in Distributed Computing Environment In IEEE International Conference on Big Data (IEEE Big Data 2018) . December 10-13, 2018, Seattle, WA, USA.
