Photo of Wei Ding,  PhD

Wei Ding, PhD

University Of Massachusetts - Boston

University Of Massachusetts - Boston
Phone: (617) 287-6428
Fax: (617) 287-6438


ding@cs.umb.edu

Wei Ding, PhD

University Of Massachusetts - Boston

EDUCATIONAL TITLES

  • Assistant Professor, College of Science and Math, University Of Massachusetts - Boston
  • Assistant Professor, Computer Science, University Of Massachusetts - Boston

DF/HCC PROGRAM AFFILIATION

Research Abstract

Wei Ding received her Ph.D. degree in Computer Science from the University of Houston in 2008. She has been an Assistant Professor of Computer Science in the University of Massachusetts Boston since 2008. Her research interests include data mining, machine learning, artificial intelligence, computational semantics, and with applications to health science, astronomy, geosciences, and environmental sciences. She has published more than 85 referred research papers, 1 book, and has 2 patents. She is an Associate Editor of Knowledge and Information Systems (KAIS) and an editorial board member of the Journal of Information System Education (JISE), the Journal of Big Data, and the Social Network Analysis and Mining Journal. She is the recipient of a Best Paper Award at the 2011 IEEE International Conference on Tools with Artificial Intelligence (ICTAI), a Best Paper Award at the 2010 IEEE International Conference on Cognitive Informatics (ICCI), a Best Poster Presentation award at the 2008 ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (SIGSPAITAL GIS), and a Best PhD Work Award between 2007 and 2010 from the University of Houston. Her research projects are currently sponsored by NASA and DOE. She is an IEEE senior member and an ACM member.

Publications

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  • X. Zhu, W. Ding, P. Yu, C. Zhang. One-Class Learning and Concept Summarization for Data Streams 2011.
  • W. Ding, T. Stepinski, Y. Mu, L. Bandeira, R. Vilalta, Y. Wu, Z. Lu, T. Cao, X. Wu. Sub-Kilometer Crater Discovery with Boosting and Transfer Learning 2011.
  • R. Vetro, D. A. Simovici, W. Ding,. Entropy Quad-Trees for High Complexity Regions Detection 2012.
  • P. Chen, W. Ding, W. Garcia. Adaptive Study Design through Semantic Association Rule Analysis 2011.
  • W. Ding, C. Eick, X. Yuan, J. Wang, J. Nicot,. A Framework for Regional Association Rule Mining and Scoping in Spatial Datasets 2011.
  • T. Stepinski, W. Ding, C. Eick. Controlling Patterns of Geospatial Phenomena 2011.
  • K. Yue, A. Yang, W. Ding, and P. Chen. Open Courseware and Computer Science Education 2004.
  • W. Ding, T. Stepinski, R. Parmar, D. Jiang, C. F. Eick. Discovery of Feature-Based Hot Spots Using Supervised Clustering 2009.
  • P. Chen, W. Ding, C. Ding. A Lexical Knowledge Representation Model for Natural Language Understanding 2009.
  • P. Chen, W. Ding, M. Choly, C. Bowes. Word Sense Disambiguation with Automatically Acquired Knowledge 2010.
  • L. Bandeira, W. Ding, T.F. Stepinski. Detection of Sub-Kilometer Craters in High Resolution Planetary Images Using Shape and Texture Features 2012.
  • S. Liu, W. Ding, F. Gao, T. Stepinski. Adaptive Selective Learning for Automatic Identification of Sub-Kilometer Craters 2012.
  • D. Wang, W. Ding, H. Lo, M. Morabito, P. Chen, J. Salazar, and T. Stepinski,. Understanding the Spatial Distribution of Crime Based on Its Related Variables Using Geospatial Discriminative Pattern 2013.
  • X. Wu, F. Xie, G. Wu, and W. Ding. PNFS: Personalized Web News Filtering and Summarization 2013.
  • J. Cohen, W. Ding. Crater Detection via Genetic Search Methods to Reduce Image Features 2013.
  • X. Wu, X. Zu, G. Wu, W. Ding. Data Mining with Big Data TKDE 2014.
  • Y. Mu, W. Ding, D. Tao. Local Discriminative Distance Metrics Ensemble Learning 2013.
  • K. Yu, W. Ding, H. Wang, X. Wu. Bridging Causal Relevance and Pattern Discriminability: Mining Emerging Patterns from High-Dimensional Data TKDE 2013.
  • K. Yu, X. Wu, W. Ding, H. Wang. Exploring Causal Relationships with Streaming Features 2012.
  • Y. Wu, L. Wang, J. Ren, W. Ding, X. Wu. Mining Sequential Patterns with Periodic Wildcard Gaps 2014.
  • X. Wu, K. Yu, W. Ding, H. Wang, and X. Zhu. Online Feature Selection with Streaming Features TPAMI 2012.
  • D. Wang, W. Ding, H. Lo, T. Stepinski, J. Salazar, and M. Morabito. Crime Hotspot Mapping Using the Crime Related Factors--A Spatial Data Mining Approach 2013.
  • Y. Mu, H. Lo, W. Ding, K. Amaral, S. E. Crouter. Bipart: Learning Block Structure for Activity Detection TKDE 2014.
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