Publications

(*Graduate Student, **Undergraduate Student)

2014

Temporality and Context for Detecting Adverse Drug Reactions from Longitudinal Data

Henry Lo*, Wei Ding, Zohreh Nazeri, Applied Intelligence, in press, 2014.


Crime Forecasting Using Spatio-Temporal Pattern with Ensemble Learning

C. Yu*, W. Ding, P. Chen, M. Morabito, Proceedings of the 18th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), May, 2014, Tainan, Taiwan.


Bipart: Learning Block Structure for Activity Detection

Y. Mu*, H. Lo*, W. Ding, K. Amaral**, S. E. Crouter, IEEE Transactions on Knowledge and Data Engineering (TKDE), in press, 2014.


Mining Sequential Patterns with Periodic Wildcard Gaps

Y. Wu, L. Wang, J. Ren, W. Ding, X. Wu, Applied Intelligence, in press, 2014.


Mars and Beyond: Human Spaceflight at the Museum of Science Boston

J. P. Cohen*, W. Ding, J. Sable, R. Li, T. Stepinski, The 45th Lunar and Planetary Science Conference, the Woodlands, TX, March, 2014.


Gaussian Noise Removal for Wet Chemistry Data from the Phoenix Mission

Y. Mu*, W. Ding, X. Ren, E. Oberlin, S. Kounaves, The 45th Lunar and Planetary Science Conference, the Woodlands, TX, March, 2014.


Data Mining with Big Data

X. Wu, X. Zu, G. Wu, W. Ding, IEEE Transactions on Knowledge and Data Engineering (TKDE), 97-107, January, 2014.

2013

Markov Blanket Feature Selection with Non-Faithful Data Distributions

K. Yu, X. Wu, Z. Zhang, Y. Mu, H. Wang, W. Ding, IEEE International Conference on Data Mining (ICDM), Dallas, TX, USA, December, 2013.


Group Feature Selection with Streaming Features

H. Li+, X. Wu, Z. Li, W. Ding, IEEE International Conference on Data Mining (ICDM), Dallas, TX, USA, December, 2013.


Local Discriminative Distance Metrics and Their Real World Applications

Y. Mu*, W. Ding, Ph.D. Forum in conjunction with IEEE International Conference on Data Mining (ICDM), Dallas, TX, USA, December, 2013.


Mining Adverse Drug Reactions from Electronic Health Records

H. Lo*, W. Ding, Z. Nazeri, Ph.D. Forum in conjunction with IEEE International Conference on Data Mining (ICDM), Dallas, TX, USA, December, 2013.


Crater Detection via Genetic Search Methods to Reduce Image Features

J. Cohen*, W. Ding, Advances in Space Research, 2013. (Joseph Cohen received the Outstanding Paper Award for Young Scientists from the Committee on Space Research of the International Council for Science)


Constrained Stochastic Gradient Descent for Large-scale Least Squares Problem

Y. Mu*, W. Ding, T. Zhou, D. Tao, the 19th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Chicago, USA, August, 2013.


Towards Long-Lead Forecasting of Extreme Flood Events: a Data Mining Framework for Precipitation Cluster Precursors Identification

D. Wang*, W. Ding, K. Yu, X. Wu, P. Chen, D. Small, S. Islam, the 19th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Chicago, USA, August, 2013.


Online Group Feature Selection from Feature Streams

H. Li*, X. Wu, W. Ding, the 20th AAAI Conference on Artificial Intelligence (AAAI-13), Bellevue, WA, July, 2013


Discriminative Accelerometer Patterns in Children Physical Activities

Y. Mu*, H. Lo*, K. Amaral**, W. Ding, S. E. Crouter, the 3rd International Conference on Ambulatory Monitoring of Physical Activity and Movement, Amherst, MA, June, 2013


Two-Tiered Machine Learning Model for Estimating Energy Expenditure in Children

K. Amaral**, Y. Mu*, H. Lo*, W. Ding, S. E. Crouter, the 3rd International Conference on Ambulatory Monitoring of Physical Activity and Movement, Amherst, MA, June, 2013


PNFS: Personalized Web News Filtering and Summarization

X. Wu, F. Xie*, G. Wu, and W. Ding, International Journal on Artificial Intelligence Tools, 2013


Understanding the Spatial Distribution of Crime Based on Its Related Variables Using Geospatial Discriminative Pattern

D. Wang*, W. Ding, H. Lo, M. Morabito, P. Chen, J. Salazar, and T. Stepinski, Computers, Environment and Urban Systems, Elsevier, 2013


To Introduce Computer Science in One Day, The Throw Platform

J. P. Cohen*, W. Ding, D. Boisvert, the 3rd IEEE Integrated STEM Education Conference (ISEC), Princeton, NJ, March, 2013


Local Discriminative Distance Metrics Ensemble Learning

Y. Mu*, W. Ding, D. Tao, The Journal of the Pattern Recognition Society, Elsevier, 2013


Feature Selection by Joint Graph Sparse Coding

X. Zhu*, X. Wu, W. Ding, S. Zhang, SIAM International Conference on Data Mining (SDM), Austin, Texas, USA, May, 2013

2012

Crime Hotspot Mapping Using the Crime Related Factors--A Spatial Data Mining Approach

D. Wang*, W. Ding, H. Lo, T. Stepinski, J. Salazar, and M. Morabito, Applied Intelligence, Springer, 2012


Self-Taught Active Learning from Crowds

M. Fang*, X. Zhu, B. Li, W. Ding, X. Wu, the IEEE International Conference on Data Mining (ICDM), Belgium, December, 2012


Bridging Causal Relevance and Pattern Discriminability: Mining Emerging Patterns from High-Dimensional Data

K. Yu*, W. Ding, H. Wang, and X. Wu, IEEE Transactions on Knowledge and Data Engineering, 2012


Online Feature Selection with Streaming Features

X. Wu, K. Yu*, W. Ding, H. Wang, and X. Zhu, IEEE Transactions on Pattern Analysis and Machine Intelligence, 2012


Geospatial Contrast Mining with Applications on Labeled Spatial Data

W. Ding, T. F. Stepinski, Josue Salazar*, Contrast Data Mining: Concepts, Algorithms and Applications, Editors: Guozhu Dong and James Bailey, ISBN-13: 978-1439854327, Chapman & Hall/CRC, Data Mining and Knowledge Discovery Series, September, 2012.


Modern Advances in intelligent Systems And Tools

W. Ding, H. Jiang, M. Ali, M. Li (Eds.), Studies in Computational Intelligence 431, Springer, ISBN 978-3-642-30731-7, 2012.


Advanced Research in Applied Artificial Intelligence

H. Jiang, W. Ding, M. Ali, X. Wu (Eds.), Proceedings of 25th International Conference on Industrial Engineering and Other Applications of Applied Intelligent Systems, LANI 7345, Springer, Dalian, China, ISBN 978-3642310867, June 2012.


Coupled Behavior Analysis for Capturing Coupling Relationships in Group-based Market Manipulations

Y. Song*, L. Cao, X. Wu, G. Wei, W. Ye, W. Ding, the 18th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, to appear, Beijing, China, August, 2012


Mining Emerging Patterns by Streaming Feature Selection

K. Yu*, W. Ding, D. A. Simovici, X. Wu, the 18th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, to appear, Beijing, China, August, 2012


Cyber-Physical Integration to Connect Vehicles for Transformed Transportation Safety and Efficiency

D. Ni, H. Liu, W. Ding, Y. Xie, H. Wang, H. Pishro-Nik, and Q. Yu, The 25th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, pp. 78-87, June, Dalian, China, 2012


Adaptive Selective Learning for Automatic Identification of Sub-Kilometer Craters

S. Liu*, W. Ding, F. Gao, T. Stepinski, Neurocomputing, 2012


Exploring Causal Relationships with Streaming Features

K. Yu*, X. Wu, W. Ding, H. Wang, in press, The Computer Journal, in press, 2012


Several Remarks on Mining Frequent Trajectories in Graphs

H. Z. Lo*, D. A. Simovici, and W. Ding, The 25th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, June, Dalian, China, 2012


Optimization of Criminal HotSpots Based on Underlying Crime Controlling Factors Using Geospatial Discriminative Pattern

D. Wang*, W. Ding, T. Stepinski, J. Salazar*, and M. Morabito, The 25th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, June, Dalian, China, 2012


Virtual Lab of Connected Vehicle Technology

D. Ni, H. Liu, Y. Xie, W. Ding, H. Wang, H. Pishro-Nik, Q. Yu, M. Ferreira*, 2012 Spring Simulation Multiconference, March, 2012


MarsWeekend: A Panel and Games at the Museum of Science Boston

J. P. Cohen*, W. Ding, J. Sable, R. Li, T. Stepinski, The 43rd Lunar and Planetary Science Conference, the Woodlands, TX, March, 2012

2011

Crime Forecasting Using Data Mining Techniques

C. Yu*, M. Ward*, M. Morabito, and W. Ding, The 4th Workshop on Data Mining Case Studies and Practice Prize, Vancouver, Canada, December, 2011


Causal Associative Classification

K. Yu*, X. Wu, W. Ding, and H. Wang, the 2011 IEEE International Conference on Data Mining (ICDM), Vancouver, CA, December, 2011


Bernoulli Trials Based Feature Selection for Crater Detection

S. Liu*, W. Ding, J. P. Cohen*, D. Simovici, T. Stepinski, the 19th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, Chicago, IL, November, 2011


Personalized News Filtering and Summarization on the Web

X. Wu, F. Xie*, G. Wu, W. Ding, the 23rd IEEE International Conference on Tools with Artificial Intelligence (ICTAI), Boca Raton, FL, November, 2011 (Best Paper Award)


Detection of Sub-Kilometer Craters in High Resolution Planetary Images Using Shape and Texture Features

L. Bandeira*, W. Ding, T.F. Stepinski, Advances in Space Research (2011), doi: 10.1016/j.asr.2011.08.021


Empirical Discriminative Tensor Analysis for Crime Forecasting

Y. Mu*, W. Ding, M. Morabito, D. Tao, the 5th International Conference on Knolwege Science, Engineering and Management, Irvine, CA, December, 2011


Genetically Enhanced Feature Selection of Discriminative Planetary Crater Image Features

J. P. Cohen*, S. Liu*, W. Ding, the 24th Australasian Joint Conference on Artificial Intelligence, Perth, Australia, December, 2011


Machine Learning Approaches to Detecting Impact Craters in Planetary Images

T. F. Stepinski, W. Ding, R. Vilalta, Intelligent Data Analysis for Real-Life Applications: Theory and Practice, IGI Global, 2011


Regional Association Rule Mining and Scoping from Spatial Data

W. Ding, C. F. Eick, Data Mining: Foundations and Intelligent Paradigms, Editor: Lakhmi Jain, Springer Verlag's -Smart Innovation, Systems and Technologies Book Series, 2011


Semi-Supervised Active Class Selection for Automatic Identification of Sub-Kilometer Craters

S. Liu*, W. Ding, T. Stepinski, 7th International Symposium on Image and Signal Processing and Analysis (ISPA 2011), Dubrovnik, Croatia, September, 2011


Crater Detection Using Bayesian Classifiers and LASSO

Y. Wang*, W. Ding, K. Yu*, H. Wang, X. Wu, IEEE International Conference on Intelligent Computing and Integrated Systems, Guilin, Guangxi, China, October, 2011


Biologically Inspired Model for Crater Detection

Y. Mu*, W. Ding, D. Tao, T.F. Stepinski, International Joint Conference on Neural Networks(IJCNN), San Jose, CA, August, 2011


Adaptive Study Design through Semantic Association Rule Analysis

P. Chen, W. Ding, W. Garcia**, International Journal of Software Science and Computational Intelligence (IJSSCI), in press, 2011


Entropy Quad-Trees for High Complexity Regions Detection

R. Vetro*, D. A. Simovici, W. Ding, International Journal of Software Science and Computational Intelligence (IJSSCI), in press, 2011


Cascading Crater Detection with Active Learning

W. I. Mille*r, T. F. Stepinski, Y. Mu*, W. Ding, in Proc. of 42nd Lunar and Planetary Science Conference, the Woodlands, TX, March, 2011


Feasibility Study For Automatic Calibration Of Transportation Simulation Models

H, Liu, Q. Yu, W. Ding, H. Wang, S. Shannon*, in Proc. of the Simulation Multiconference (SpringSim), Boston, MA, April, 2011


Sub-Kilometer Crater Discovery with Boosting and Transfer Learning

W. Ding, T. Stepinski, Y. Mu*, L. Bandeira*, R. Vilalta, Y. Wu*, Z. Lu*, T. Cao*, X. Wu, ACM Transactions on Intelligent Systems and Technology, 2011


Word Sense Disambiguation with Automatically Acquired Knowledge

P. Chen, W. Ding, M. Choly**, C. Bowes**, the international journal of IEEE Intelligent Systems, 2011

2010

Causal Discovery from Streaming Features

K. Yu*, X. Wu, H. Wang, W.Ding, in Proc. of the IEEE International Conference on Data Mining (ICDM 2010), Sydney, Australia, December, 2010


Using Model Checking to Generate Test Cases for Critical Systems

W. Ding, LAP Lambert Academic Publishing, Germany, ISBN: 978-3-8433-5565-0, 2010


Exploring Labeled Spatial Datasets Using Association Analysis (Demo Paper)

T. Stepinski, J. Salazar**, W. Ding, in Proc. of the 18th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (ACM SIGSPATIAL GIS 2010), San Jose, California, November, 2010


Automatic Detection of Craters in Planetary Images: An Embedded Framework Using Feature Selection and Boosting

W. Ding, T. Stepinski, L. Bandeira*, R. Vilalta, Y. Wu*, Z. Lu*, T. Cao*, in Proc. of the 19th ACM International Conference on Information and Knowledge Management (CIKM 2010), Toronto, Canada, October, 2010


ESTATE: Strategy for Exploring Labeled Spatial Datasets Using Association Analysis

T. Stepinski, J. Salazar**, W. Ding, D. White, in Proc. of the 13th International Conference on Discovery Science (DS10), Canberra, Australia, October, 2010.


One-Class Learning and Concept Summarization for Vaguely Labeled Data Streams

X. Zhu, W. Ding, P. Yu, C. Zhang, the international journal of Knowledge and Information Systems (KAIS), 2010.


A Framework for Regional Association Rule Mining and Scoping in Spatial Datasets

W. Ding, C. Eick, X. Yuan, J. Wang*, J. Nicot, the international journal of GeoInformatica, 2010.


TreeMatch: A Fully Unsupervised WSD System Using Dependency Knowledge on a Specific Domain

A. Tran**, C. Bowes**, D. Brown**, P. Chen, M. Choly**, W. Ding, in Proc. of the SemEval 2010 Workshop with the 48th Annual Meeting of the Association for Computational Linguistics (ACL), July, 2010. Uppsala, Sweden.


Online Streaming Feature Selection

X. Wu, K. Yu*, H. Wang, W. Ding, in Proc. of the 27th International Conference on Machine Learning (ICML 2010), Haifa, Israel, June, 2010.


Mining for High Complexity Regions Using Entropy and Box Counting Dimension Quad-Trees

R. Vetro, W. Ding and D. Simovici, in Proc. of the 9th IEEE International Conference on Cognitive Informatics, Beijing, China, July, 2010.(Best Paper Award)


Discovering Spatio-Social Motifs of Electoral Support Using Discriminative Pattern Mining

T. Stepinski, J. Salazar**, W. Ding, Com.Geo, in Proc. of the 1st International Conference on Computing for Geospatial Research and Application, Washington, DC, June, 2010.


Effective Classification for Crater Detection: A Case Study on Mars

J. Wang*, W. Ding, B. Fradkin*, C. H. Pham*, P. Sherman*, B. D. Tran*, D. Wang*, Y. Yang* and T. F. Stepinski, in Proc. of the 9th IEEE International Conference on Cognitive Informatics, Beijing, China, July, 2010.


Controlling Patterns of Geospatial Phenomena

T. Stepinski, W. Ding, C. Eick, the international journal of GeoInformatica, DOI: 10.1007/s10707-010-0107-2, 2010.

2009

Large-scale Dependency Knowledge Acquisition and its Extrinsic Evaluation through Word Sense Disambiguation

P. Chen, W. Ding, D. Brown**, C. Bowes**, in Proc. of the international Conference on Tools with Artificial Intelligence (ICTAI 2009), New Jersey, USA, November, 2009


A Fully Unsupervised Word Sense Disambiguation Method and Its Evaluation on Coarse-grained All-words Task

P. Chen, W. Ding, C. Bowes**, D. Brown**, in Proc. of the North American Chapter of the Association for Computational Linguistics - Human Language Technologies (NAACL HLT 2009), Boulder, Colorado, May 2009


A Gaze-Controlled Interface to Virtual Reality Applications for Motor- and Speech-Impaired Users

W. Ding, P. Chen, H. Al-Mubaid, M. Pomplun, in Proc. of the HCI International 2009, San Diego, CA, July 2009.


A Lexical Knowledge Representation Model for Natural Language Understanding

P. Chen, W. Ding, C. Ding, the International Journal of Cognitive Informatics and Natural Intelligence (IJCiNi), 2009.


Word Classification: An Experimental Approach with Naive Bayes

W. Ding, H. Al-Mubaid, S. Kotagiri*, in Proc. of the ISCA 24th International Conference on Computers and Their Applications (CATA-2009), New Orleans, Louisiana, April, 2009


Discovery of Geospatial Discriminating Patterns from Remote Sensing Datasets

W. Ding, T. Stepinski, J. Salazar**, in Proc. of the SIAM International Conference on Data Mining (SDM), Nevada, April 2009.


Discovery of Feature-Based Hot Spots Using Supervised Clustering

W. Ding, T.Stepinski, R. Parmar*, D. Jiang*, C. F. Eick, in the International Journal of Computers and Geosciences, Elsevier, March 2009.

2008

Parsing Tree Matching Based Question Answering

P. Chen, W. Ding, T. Simmons**, C. Lacayo**, in Proc. of the Text Analysis Conference (TAC) Workshop, Gaithersburg, Maryland USA, November, 2008.


Discovering Controlling Factors of Geospatial Variables

T.F. Stepinski, W. Ding and C.F. Eick, in Proc. of the 16th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (ACM GIS 2008), Irvine, CA, USA, November, 2008.(Best Poster Presentation Award)


Finding Regional Co-Location Patterns for Sets of Continuous Variables

C. F. Eick, R. Parmar*, W. Ding, T. F. Stepinski, J. P. Nicot, in Proc. of the 16th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (ACM GIS 2008), Irvine, CA, USA, November, 2008.


Towards Regional Knowledge Discovery in Spatial Datasets

W. Ding, R. Jiamthapthaksin, R.Parmar*, D. Jiang*, T. F. Stepinski, and C. F. Eick, in Proc. of the Pacific-Asia Conf. on Knowledge Discovery and Data Mining, Osaka, Japan, May, 2008.


An Interactive Visualization Model for Large High-Dimensional Datasets

W. Ding, Ping Chen, the international journal of Data Engineering: Mining, Information, and Intelligence. Editors: Yupo Chan, John Talburt, Terry Talley, Springer, 2008.

2007 and earlier

On Regional Association Rule Scoping

W. Ding and C. Eick and X. Yuan and J. Wang* and J.P. Nicot, in Proc. of the International workshop on Spatial and Spatio-temporal Data Mining in Cooperation with IEEE ICDM 2007, Omaha, NE, USA, October, 2007


Mining Regional Knowledge in Spatial Datasets

W. Ding, C. Eick, in Proc. of the Grace Hopper Celebration of Women in Computing, Orlando, FL, October 2007.


A Framework for Regional Association Rule Mining in Spatial Datasets

W. Ding and C. Eick and J. Wang* and X. Yuan, in Proc. of the 6th IEEE International Conference on Data Mining (IEEE-ICDM'06), Hong Kong, China, December, 2006.


SenseNet: A Knowledge Representation Model for Computational Semantics

P. Chen, W. Ding, C. Ding, in Proc. of the 5th IEEE International Conference on Cognitive Informatics, Beijing, China, July, 2006.


Parametric Surface Denoising

I.A. Kakadiaris, I. Konstantinidis, E. Papadakis, W. Ding, D.J. Kouri, and D.K. Hoffman, in Proc. of the SPIE Wavelets XI, E. Papadakis, A. Laine, M. Unser (Eds), San Diego, CA, USA, July, 2005.


Web-based Interactive Visualization of Data Cubes

X. Wang, P. Chen, and W. Ding, in Proc. of the 2005 International Conference on Modeling, Simulation and Visualization Methods (MSV'05), Las Vegas, USA, June, 2005.


Using a Pre-Assessment Exam to Construct an Effective Concept-based Genetic Program for Predicting Course Success

G. Boetticher, W. Ding, C. Moen, and K. Yue, in Proc. of the 36th SIGCSE Technical Symposium on Computer Science Education (ACM SIGCSE'05), pp. 500-504, St. Louis, Missouri, USA, Feb. 2005.


Design and Evolution of an Undergraduate Course on Web Application Development

K. Yue, W. Ding, in Proc. of the 9th Annual SIGCSE Conference on Innovation and Technology in Computer Science Education (ACM ITiCSE'04), pp. 22-26, Leeds, UK, June, 2004


A Model for Open Content Communities to Support Effective Learning and Teaching

K. Yue, A. Yang, W. Ding, and P. Chen, in Proc. of the IADIS International Conference on Web-based Communities, pp. 533-536, Lisbon, Portugal, April 2004.


Knowledge Management for Agent-based Tutoring Systems

P. Chen, W. Ding, Designing Distributed Learning Environments: With Intelligent Software Agents, pp. 146-161, Ed. F. Lin, Idea Group, Inc., 2004.


Open Courseware and Computer Science Education

K. Yue, A. Yang, W. Ding, and P. Chen, the ACM Journal of Computing Sciences in Colleges, Volume 20, Issue 1, Utah, USA, October, 2004.


Icon-based Visualization of Large High-Dimensional Datasets

P. Chen, C. Hu, W. Ding, and H. Lynn, in Proc. of the 3rd IEEE International Conference on Data Mining (ICDM'03), pp. 505-508, Melbourne, Florida, Nov. 2003.


Using a Model Checker to Test Safety Properties

P. Ammann, W. Ding, and D. Xu*, in Proc. of the 7th IEEE International Conference on Engineering of Complex Computer Systems, pp. 212-221, Skovde, Sweden, June 2001.


Evaluation of Three Specification-based Testing Criteria

A. Abdurazik, P. Ammann, W. Ding, and J. Offutt, in Proc. of the 6th IEEE International Conference on Engineering of Complex Computer Systems, pp. 179-187, Tokyo, Japan, Sept. 2000.


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