Zheng Zheng Download

Zheng Zheng

Assistant Teaching Professor,  Multidisciplinary Graduate Engineering Programs

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Research Focus

Data management; Database system; Data quality; Data analytics; Text mining; Machine learning; Deep learning.

About

Dr. Zheng is an Assistant Teaching Professor in the College of Engineering at the Toronto Campus, bringing extensive data management experience from both academic and industry roles. Before joining Northeastern University, he served as the Technical Vice President and the Head of Artificial Intelligence (AI) Institute at a NASDAQ-listed company, successfully leading the technical team in completing the company’s information infrastructure development and digital transformation over the past few years. He also worked as a sessional faculty member in the Department of Computing and Software at McMaster University.

Dr. Zheng earned his Ph.D. in Computer Science from McMaster University and his Master of Engineering degree from the University of Chinese Academy of Sciences. His research interests broadly encompass data management and AI, focusing on data quality, data analytics, text mining, and machine learning. He has published numerous papers in top-tier conferences and journals in his field.

Education

  • PhD, Computer Science, McMaster University, Canada
  • Master of Engineering (Thesis), Computer Technology, University of Chinese Academy of Sciences, China

Research Overview

Data management; Database system; Data quality; Data analytics; Text mining; Machine learning; Deep learning.

DSAI Research Lab: https://www.dsai-toronto-northeastern.com/

Services

Reviewer:

International Conference on Very Large Data Bases (VLDB)
ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)
International Joint Conference on Neural Networks (IJCNN)

Selected Research Projects

Northeastern Toronto Professor Fuses AI and Art to Preserve Historical Murals

Selective Publications

*: Corresponding author

  • Qianhao Han, Daniel Ding, Junyi Liu, Zengchang Qin, and Zheng Zheng*. RadGen: A Cross-Modal Fusion System for Automated Radiology Report Generation. IEEE International Symposium on Computer-Based Medical Systems (CBMS), 2025.

  • Qianhao Han, Junyi Liu, Zengchang Qin, and Zheng Zheng*. Integrating MedCLIP and Cross-Modal Fusion for Automatic Radiology Report Generation. IEEE International Conference on Big Data, 2024. (Runner-Up Paper Award, AI Youth Star Award)

  • Zheng Zheng, Longtao Zheng, Morteza Alipour Langouri, Fei Chiang, Lukasz Golab, Jaroslaw Szlichta, Sridevi Baskaran, and Alexander Keller. Contextual data cleaning with ontology funcational depen- dencies. ACM Journal of Data and Information Quality (JDIQ), 2022.
  • Yu Sun, Zheng Zheng, Shaoxu Song, and Fei Chiang. Confidence bounded replica currency estimation. In Proceedings of the 2022 ACM SIGMOD International Conference on Management of Data, 2022.

  • Shaoyun Han, Zheng Zheng*, Hua Feng, Ruihong Yang, and Lixiang Xu. Computer Vision Application and Practice (In Chinese). Book, Electronic Industry Press, 2022.

  • Zheng Zheng*. Contextual data cleaning with ontology FDs. In Proceedings of the 2021 ACM SIGMOD International Conference on Management of Data, 2021.

 

Zheng Zheng

Aug 14, 2024

New Faculty Spotlight: Zheng Zheng

Zheng Zheng joins the MGEN department in August 2024 as an Assistant Teaching Professor.

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