Hongzhi Wang

Hongzhi Wang, Ph.D. is an Associate Professor at Massive Data Computing Center in the Department of Computer Science and Technology, Harbin Institute of Technology, Harbin, China. He received his his BSc, MSc and PHD degrees and computer science from Harbin Institute of Technology in 2001, 2003 and 2008, respectively. His research interest is data and information management in general, particular in areas of big data management, particularly in areas of big data management, data quality, XML and graph data management. He has published more than 100 papers in conferences and journals. He was also awarded Microsoft Fellow, IBM PHD Fellowship and Chinese Excellent Database Engineer. His doctoral dissertation is selected as the outstanding doctoral dissertation by China Computer Federation.

Publications

TransFusion Model Fusion Mechanism Based on Transformer for Traffic Flow Prediction
Xintong Song, Donghua Yang, Yutong Wang, Hongzhi Wang, Jinbao Wang, Bo Zheng. © 2023. 14 pages.
In recent years, the problem of traffic congestion has become a hot topic. Accurate traffic flow prediction methods have received extensive attention from many researchers all...
Innovative Techniques and Applications of Entity Resolution
Hongzhi Wang. © 2014. 398 pages.
Entity resolution is an essential tool in processing and analyzing data in order to draw precise conclusions from the information being presented. Further research in entity...
Labelling-Scheme-Based Subgraph Query Processing on Graph Data
Hongzhi Wang, Jianzhong Li, Hong Gao. © 2012. 33 pages.
When data are modeled as graphs, many research issues arise. In particular, there are many new challenges in query processing on graph data. This chapter studies the problem of...
Efficient Identification of Similar XML Fragments Based on Tree Edit Distance
Hongzhi Wang, Jianzhong Li, Fei Li. © 2012. 20 pages.
Similarity detection between large XML fragment sets is broadly used in many applications such as data integration and XML de-duplication. Extensive methods are used to find...