Wei Ding

According to our database, Wei Ding authored at least 148 papers between 2000 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of three.

2024

Reducing Mode Collapse With Monge-Kantorovich Optimal Transport for Generative Adversarial Networks.

Wei Li, Wei Liu, Jinlin Chen, Libing Wu, Patrick D. Flynn, Wei Ding, Ping Chen

IEEE Trans. Cybern., August, 2024

CRESPR: Modular sparsification of DNNs to improve pruning performance and model interpretability.

Tianyu Kang, Wei Ding, Ping Chen

Neural Networks, 2024

A Multi-view Feature Construction and Multi-Encoder-Decoder Transformer Architecture for Time Series Classification.

Zihan Li, Wei Ding, Inal Mashukov, Scott E. Crouter, Ping Chen

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2024

Overview of ACM SIGKDD 2024 AI4Science4AI Special Day.

Wei Ding, Gustau Camps-Valls

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

2023

New User Intent Discovery With Robust Pseudo Label Training and Source Domain Joint Training.

Wenbin An, Feng Tian, Ping Chen, Qinghua Zheng, Wei Ding

IEEE Intell. Syst., 2023

A Summary of ICDE 2022 Research Session Panels.

Zhifeng Bao, Panagiotis Bouros, Reynold Cheng, Byron Choi, Anton Dignös, Wei Ding, Yixiang Fang, Boyang Han, Jilin Hu, Arijit Khan, Wenqing Lin, Xuemin Lin, Cheng Long, Nikos Mamoulis, Jian Pei, Matthias Renz, Shashi Shekhar, Jieming Shi, Eleni Tzirita Zacharatou, Sibo Wang, Xiao Wang, Xue Wang, Raymond Chi-Wing Wong, Da Yan, Xifeng Yan, Bin Yang, Dezhong Yao, Ce Zhang, Peilin Zhao, Rong Zhu

IEEE Data Eng. Bull., 2023

CASTLE: A Cascaded Spatio-Temporal Approach for Long-lead Streamflow Forecasting.

Yong Zhuang, David L. Small, Patrick D. Flynn, Wahid Palash, Shafiqul Islam, Ping Chen, Wei Ding

Proceedings of the IEEE International Conference on Big Data, 2023

Generalized Category Discovery with Decoupled Prototypical Network.

Wenbin An, Feng Tian, Qinghua Zheng, Wei Ding, Qianying Wang, Ping Chen

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Causal Feature Selection with Missing Data.

Kui Yu, Yajing Yang, Wei Ding

ACM Trans. Knowl. Discov. Data, 2022

SummerTime: Variable-length Time Series Summarization with Application to Physical Activity Analysis.

Kevin Amaral, Zihan Li, Wei Ding, Scott E. Crouter, Ping Chen

ACM Trans. Comput. Heal., 2022

Maximizing Fairness in Deep Neural Networks via Mode Connectivity.

Olga Andreeva, Matthew Almeida, Wei Ding, Scott E. Crouter, Ping Chen

IEEE Intell. Syst., 2022

Fall risk assessment through a synergistic multi-source DNN learning model.

Olga Andreeva, Wei Ding, Suzanne G. Leveille, Yurun Cai, Ping Chen

Artif. Intell. Medicine, 2022

Widening the Time Horizon: Predicting the Long-Term Behavior of Chaotic Systems.

Yong Zhuang, Matthew Almeida, Wei Ding, Patrick D. Flynn, Shafiqul Islam, Ping Chen

Proceedings of the IEEE International Conference on Data Mining, 2022

2021

Mitigating Class-Boundary Label Uncertainty to Reduce Both Model Bias and Variance.

Matthew Almeida, Yong Zhuang, Wei Ding, Scott E. Crouter, Ping Chen

ACM Trans. Knowl. Discov. Data, 2021

2020

Multi-Source Causal Feature Selection.

Kui Yu, Lin Liu, Jiuyong Li, Wei Ding, Thuc Duy Le

IEEE Trans. Pattern Anal. Mach. Intell., 2020

Introducing time series snippets: a new primitive for summarizing long time series.

Shima Imani, Frank Madrid, Wei Ding, Scott E. Crouter, Eamonn J. Keogh

Data Min. Knowl. Discov., 2020

Mitigating Class Boundary Label Uncertainty to Reduce Both Model Bias and Variance.

Matthew Almeida, Wei Ding, Scott E. Crouter, Ping Chen

CoRR, 2020

SummerTime: Variable-length Time SeriesSummarization with Applications to PhysicalActivity Analysis.

Kevin Michael Amaral, Zihan Li, Wei Ding, Scott E. Crouter, Ping Chen

CoRR, 2020

Clustering Sparse Data With Feature Correlation With Application to Discover Subtypes in Cancer.

Jipeng Qiang, Wei Ding, Marieke L. Kuijjer, John Quackenbush, Ping Chen

IEEE Access, 2020

A Novel Deep Learning Model by Stacking Conditional Restricted Boltzmann Machine and Deep Neural Network.

Tianyu Kang, Ping Chen, John Quackenbush, Wei Ding

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Catalysis Clustering with GAN by Incorporating Domain Knowledge.

Olga Andreeva, Wei Li, Wei Ding, Marieke L. Kuijjer, John Quackenbush, Ping Chen

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

2019

Heterogeneous-Length Text Topic Modeling for Reader-Aware Multi-Document Summarization.

Jipeng Qiang, Ping Chen, Wei Ding, Tong Wang, Fei Xie, Xindong Wu

ACM Trans. Knowl. Discov. Data, 2019

BAMB: A Balanced Markov Blanket Discovery Approach to Feature Selection.

Zhaolong Ling, Kui Yu, Hao Wang, Lin Liu, Wei Ding, Xindong Wu

ACM Trans. Intell. Syst. Technol., 2019

His-GAN: A histogram-based GAN model to improve data generation quality.

Wei Li, Wei Ding, Rajani S. Sadasivam, Xiaohui Cui, Ping Chen

Neural Networks, 2019

Correction to: Domain agnostic online semantic segmentation for multi-dimensional time series.

Shaghayegh Gharghabi, Chin-Chia Michael Yeh, Yifei Ding, Wei Ding, Paul Hibbing, Samuel LaMunion, Andrew Kaplan, Scott E. Crouter, Eamonn J. Keogh

Data Min. Knowl. Discov., 2019

Domain agnostic online semantic segmentation for multi-dimensional time series.

Shaghayegh Gharghabi, Chin-Chia Michael Yeh, Yifei Ding, Wei Ding, Paul Hibbing, Samuel LaMunion, Andrew Kaplan, Scott E. Crouter, Eamonn J. Keogh

Data Min. Knowl. Discov., 2019

2018

Clustering on Sparse Data in Non-overlapping Feature Space with Applications to Cancer Subtyping.

Tianyu Kang, Kourosh Zarringhalam, Marieke L. Kuijjer, Ping Chen, John Quackenbush, Wei Ding

Proceedings of the IEEE International Conference on Data Mining, 2018

Galaxy: Towards Scalable and Interpretable Explanation on High-Dimensional and Spatio-Temporal Correlated Climate Data.

Yong Zhuang, David L. Small, Xin Shu, Kui Yu, Shafiqul Islam, Wei Ding

Proceedings of the 2018 IEEE International Conference on Big Knowledge, 2018

TL-PC: An Interpretable Causal Relationship Networks on Older Adults Fall Influence Factors.

Zihan Li, Wei Ding, Kui Yu, Suzanne G. Leveille, Pin Chen

Proceedings of the 2018 IEEE International Conference on Big Knowledge, 2018

Matrix Profile XIII: Time Series Snippets: A New Primitive for Time Series Data Mining.

Shima Imani, Frank Madrid, Wei Ding, Scott E. Crouter, Eamonn J. Keogh

Proceedings of the 2018 IEEE International Conference on Big Knowledge, 2018

A Semantic QA-Based Approach for Text Summarization Evaluation.

Ping Chen, Fei Wu, Tong Wang, Wei Ding

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Markov Blanket Feature Selection Using Representative Sets.

Kui Yu, Xindong Wu, Wei Ding, Yang Mu, Hao Wang

IEEE Trans. Neural Networks Learn. Syst., 2017

Network-based Distance Metric with Application to Discover Disease Subtypes in Cancer.

Jipeng Qiang, Wei Ding, John Quackenbush, Ping Chen

CoRR, 2017

A biological network-based regularized artificial neural network model for robust phenotype prediction from gene expression data.

Tianyu Kang, Wei Ding, Luoyan Zhang, Daniel Ziemek, Kourosh Zarringhalam

BMC Bioinform., 2017

Learning weighted distance metric from group level information and its parallel implementation.

Hamidreza Mohebbi, Yang Mu, Wei Ding

Appl. Intell., 2017

Crime Hot Spot Forecasting: A Recurrent Model with Spatial and Temporal Information.

Yong Zhuang, Matthew Almeida, Melissa Morabito, Wei Ding

Proceedings of the IEEE International Conference on Big Knowledge, 2017

2016

Online Learning from Trapezoidal Data Streams.

Qin Zhang, Peng Zhang, Guodong Long, Wei Ding, Chengqi Zhang, Xindong Wu

IEEE Trans. Knowl. Data Eng., 2016

Hierarchical Spatio-Temporal Pattern Discovery and Predictive Modeling.

Chung-Hsien Yu, Wei Ding, Melissa Morabito, Ping Chen

IEEE Trans. Knowl. Data Eng., 2016

Scalable and Accurate Online Feature Selection for Big Data.

Kui Yu, Xindong Wu, Wei Ding, Jian Pei

ACM Trans. Knowl. Discov. Data, 2016

LOFS: A library of online streaming feature selection.

Kui Yu, Wei Ding, Xindong Wu

Knowl. Based Syst., 2016

Multi-document summarization using closed patterns.

Jipeng Qiang, Ping Chen, Wei Ding, Fei Xie, Xindong Wu

Knowl. Based Syst., 2016

Scale Normalization.

Henry Z. Lo, Kevin Amaral, Wei Ding

CoRR, 2016

Crater Detection via Convolutional Neural Networks.

Joseph Paul Cohen, Henry Z. Lo, Tingting Lu, Wei Ding

CoRR, 2016

RandomOut: Using a convolutional gradient norm to win The Filter Lottery.

Joseph Paul Cohen, Henry Z. Lo, Wei Ding

CoRR, 2016

Activity recognition and intensity estimation in youth from accelerometer data aided by machine learning.

Xiang Ren, Wei Ding, Scott E. Crouter, Yang Mu, Rong Xie

Appl. Intell., 2016

Rapid building detection using machine learning.

Joseph Paul Cohen, Wei Ding, Caitlin Kuhlman, Aijun Chen, Liping Di

Appl. Intell., 2016

Topic Discovery from Heterogeneous Texts.

Jipeng Qiang, Ping Chen, Wei Ding, Tong Wang, Fei Xie, Xindong Wu

Proceedings of the 28th IEEE International Conference on Tools with Artificial Intelligence, 2016

An evaluation of big data analytics in feature selection for long-lead extreme floods forecasting.

Yong Zhuang, Kui Yu, Dawei Wang, Wei Ding

Proceedings of the 13th IEEE International Conference on Networking, Sensing, and Control, 2016

Sacrificing Overall Classification Quality to Improve Classification Accuracy of Well-Sought Classes.

Kevin Michael Amaral, Ping Chen, Wei Ding, Rajani S. Sadasivam

Proceedings of the IEEE International Conference on Data Mining Workshops, 2016

A Comprehensive Literature Review on Big Data in Healthcare.

Jingwei Li, Wei Ding, Hsing Cheng, Ping Chen, Dehai Di, Wei Huang

Proceedings of the 22nd Americas Conference on Information Systems, 2016

2015

Classification with Streaming Features: An Emerging-Pattern Mining Approach.

Kui Yu, Wei Ding, Dan A. Simovici, Hao Wang, Jian Pei, Xindong Wu

ACM Trans. Knowl. Discov. Data, 2015

Proposing a new friend recommendation method, FRUTAI, to enhance social media providers' performance.

Zhou Zhang, Yuewen Liu, Wei Ding, Wayne Wei Huang, Qin Su, Ping Chen

Decis. Support Syst., 2015

Semi-Supervised Web Wrapper Repair via Recursive Tree Matching.

Joseph Paul Cohen, Wei Ding, Abraham Bagherjeiran

CoRR, 2015

The cost of reading research. A study of Computer Science publication venues.

Joseph Paul Cohen, Carla Aravena, Wei Ding

CoRR, 2015

Monitoring Sleep and Detecting Irregular Nights through Unconstrained Smartphone Sensing.

Ke Huang, Xiang Ding, Jing Xu, Guanling Chen, Wei Ding

Proceedings of the 2015 IEEE 12th Intl Conf on Ubiquitous Intelligence and Computing and 2015 IEEE 12th Intl Conf on Autonomic and Trusted Computing and 2015 IEEE 15th Intl Conf on Scalable Computing and Communications and Its Associated Workshops (UIC-ATC-ScalCom), 2015

One-Day Activities for K-12 Face-to-Face Outreach.

Daniel D. Garcia, Wei Ding, Joseph Paul Cohen, Barbara Ericson, Jeff Gray, Dale Reed

Proceedings of the 46th ACM Technical Symposium on Computer Science Education, 2015

Tornado Forecasting with Multiple Markov Boundaries.

Kui Yu, Dawei Wang, Wei Ding, Jian Pei, David L. Small, Shafiqul Islam, Xindong Wu

Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

Developing machine learning tools for long-lead heavy precipitation prediction with multi-sensor data.

Yahui Di, Wei Ding, Yang Mu, David L. Small, Shafiqul Islam, Ni-Bin Chang

Proceedings of the 12th IEEE International Conference on Networking, Sensing and Control, 2015

A Friend Recommendation System Using Users' Information of Total Attributes.

Zhou Zhang, Yuewen Liu, Wei Ding, Wayne Wei Huang

Proceedings of the Data Science - Second International Conference, 2015

Towards Mining Trapezoidal Data Streams.

Qin Zhang, Peng Zhang, Guodong Long, Wei Ding, Chengqi Zhang, Xindong Wu

Proceedings of the 2015 IEEE International Conference on Data Mining, 2015

A Hierarchical Pattern Learning Framework for Forecasting Extreme Weather Events.

Dawei Wang, Wei Ding

Proceedings of the 2015 IEEE International Conference on Data Mining, 2015

Understanding Deep Networks with Gradients.

Henry Z. Lo, Wei Ding

Proceedings of the IEEE International Conference on Data Mining Workshop, 2015

Prediction gradients for feature extraction and analysis from convolutional neural networks.

Henry Z. Lo, Joseph Paul Cohen, Wei Ding

Proceedings of the 11th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition, 2015

Spatio-temporal asynchronous co-occurrence pattern for big climate data towards long-lead flood prediction.

Chung-Hsien Yu, Dong Luo, Wei Ding, Joseph Paul Cohen, David L. Small, Shafiqul Islam

Proceedings of the 2015 IEEE International Conference on Big Data (IEEE BigData 2015), Santa Clara, CA, USA, October 29, 2015

2014

Data Mining with Big Data.

Xindong Wu, Xingquan Zhu, Gong-Qing Wu, Wei Ding

IEEE Trans. Knowl. Data Eng., 2014

Bipart: Learning Block Structurefor Activity Detection.

Yang Mu, Henry Z. Lo, Wei Ding, Kevin Amaral, Scott E. Crouter

IEEE Trans. Knowl. Data Eng., 2014

Authorship identification from unstructured texts.

Chunxia Zhang, Xindong Wu, Zhendong Niu, Wei Ding

Knowl. Based Syst., 2014

Mining sequential patterns with periodic wildcard gaps.

Youxi Wu, Lingling Wang, Jiadong Ren, Wei Ding, Xindong Wu

Appl. Intell., 2014

Temporality and Context for detecting adverse drug reactions from longitudinal data.

Henry Z. Lo, Wei Ding, Zohreh Nazeri

Appl. Intell., 2014

Crime Forecasting Using Spatio-temporal Pattern with Ensemble Learning.

Chung-Hsien Yu, Wei Ding, Ping Chen, Melissa Morabito

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2014

Face Recognition from Multiple Images per Subject.

Yang Mu, Henry Z. Lo, Wei Ding, Dacheng Tao

Proceedings of the ACM International Conference on Multimedia, MM '14, Orlando, FL, USA, November 03, 2014

Using GPU Shared Memory with a Directive-Based Approach.

Wei Ding, Ligang Lu, Mauricio Araya-Polo, Amik St.-Cyr, Detlef Hohl, Barbara M. Chapman

Proceedings of the 2014 IEEE International Parallel & Distributed Processing Symposium Workshops, 2014

Towards Scalable and Accurate Online Feature Selection for Big Data.

Kui Yu, Xindong Wu, Wei Ding, Jian Pei

Proceedings of the 2014 IEEE International Conference on Data Mining, 2014

2013

Understanding the spatial distribution of crime based on its related variables using geospatial discriminative patterns.

Dawei Wang, Wei Ding, Henry Z. Lo, Melissa Morabito, Ping Chen, Josue Salazar, Tomasz F. Stepinski

Comput. Environ. Urban Syst., 2013

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

Kui Yu, Wei Ding, Hao Wang, Xindong Wu

IEEE Trans. Knowl. Data Eng., 2013

Local discriminative distance metrics ensemble learning.

Yang Mu, Wei Ding, Dacheng Tao

Pattern Recognit., 2013

Online Feature Selection with Streaming Features.

Xindong Wu, Kui Yu, Wei Ding, Hao Wang, Xingquan Zhu

IEEE Trans. Pattern Anal. Mach. Intell., 2013

Pnfs: Personalized Web News Filtering and Summarization.

Xindong Wu, Fei Xie, Gong-Qing Wu, Wei Ding

Int. J. Artif. Intell. Tools, 2013

KLONOS: Similarity-based planning tool support for porting scientific applications.

Wei Ding, Chung-Hsing Hsu, Oscar R. Hernandez, Barbara M. Chapman, Richard L. Graham

Concurr. Comput. Pract. Exp., 2013

Crime hotspot mapping using the crime related factors - a spatial data mining approach.

Dawei Wang, Wei Ding, Henry Z. Lo, Tomasz F. Stepinski, Josue Salazar, Melissa Morabito

Appl. Intell., 2013

Feature Selection by Joint Graph Sparse Coding.

Wei Ding, Xindong Wu, Shichao Zhang, Xiaofeng Zhu

Proceedings of the 13th SIAM International Conference on Data Mining, 2013

Porting Applications with OpenMP Using Similarity Analysis.

Wei Ding, Oscar R. Hernandez, Tony Curtis, Barbara M. Chapman

Proceedings of the Languages and Compilers for Parallel Computing, 2013

Towards long-lead forecasting of extreme flood events: a data mining framework for precipitation cluster precursors identification.

Dawei Wang, Wei Ding, Kui Yu, Xindong Wu, Ping Chen, David L. Small, Shafiqul Islam

Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

Constrained stochastic gradient descent for large-scale least squares problem.

Yang Mu, Wei Ding, Tianyi Zhou, Dacheng Tao

Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

Markov Blanket Feature Selection with Non-faithful Data Distributions.

Kui Yu, Xindong Wu, Zan Zhang, Yang Mu, Hao Wang, Wei Ding

Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013

Local Discriminative Distance Metrics and their Real World Applications.

Yang Mu, Wei Ding

Proceedings of the 13th IEEE International Conference on Data Mining Workshops, 2013

Mining Adverse Drug Reactions from Electronic Health Records.

Henry Z. Lo, Wei Ding, Zohreh Nazeri

Proceedings of the 13th IEEE International Conference on Data Mining Workshops, 2013

Group Feature Selection with Streaming Features.

Hai-Guang Li, Xindong Wu, Zhao Li, Wei Ding

Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013

Online Group Feature Selection from Feature Streams.

Hai-Guang Li, Xindong Wu, Zhao Li, Wei Ding

Proceedings of the Twenty-Seventh AAAI Conference on Artificial Intelligence, 2013

Detecting stepping-stones under the influence of packet jittering.

Wei Ding, Khoa Le, Shou-Hsuan Stephen Huang

Proceedings of the 9th International Conference on Information Assurance and Security, 2013

Geospatial Contrast Mining with Applications on Labeled Spatial Data.

Wei Ding, Tomasz F. Stepinski, Josue Salazar

Proceedings of the Contrast Data Mining: Concepts, Algorithms, and Applications, 2013

2012

Adaptive Selective Learning for automatic identification of sub-kilometer craters.

Siyi Liu, Wei Ding, Feng Gao, Tomasz F. Stepinski

Neurocomputing, 2012

Word Sense Disambiguation with Automatically Acquired Knowledge.

Ping Chen, Chris Bowes, Wei Ding, Max Choly

IEEE Intell. Syst., 2012

Exploring Causal Relationships with Streaming Features.

Kui Yu, Xindong Wu, Wei Ding, Hao Wang

Comput. J., 2012

Mining emerging patterns by streaming feature selection.

Kui Yu, Wei Ding, Dan A. Simovici, Xindong Wu

Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

Coupled behavior analysis for capturing coupling relationships in group-based market manipulations.

Yin Song, Longbing Cao, Xindong Wu, Gang Wei, Wu Ye, Wei Ding

Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

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

Dawei Wang, Wei Ding, Tomasz F. Stepinski, Josue Salazar, Henry Z. Lo, Melissa Morabito

Proceedings of the Advanced Research in Applied Artificial Intelligence, 2012

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

Daiheng Ni, Hong Liu, Wei Ding, Yuanchang Xie, Honggang Wang, Hossein Pishro-Nik, Qian Yu

Proceedings of the Advanced Research in Applied Artificial Intelligence, 2012

Several Remarks on Mining Frequent Trajectories in Graphs.

Henry Z. Lo, Dan A. Simovici, Wei Ding

Proceedings of the Advanced Research in Applied Artificial Intelligence, 2012

Self-Taught Active Learning from Crowds.

Meng Fang, Xingquan Zhu, Bin Li, Wei Ding, Xindong Wu

Proceedings of the 12th IEEE International Conference on Data Mining, 2012

A Similarity-Based Analysis Tool for Porting OpenMP Applications.

Wei Ding, Oscar R. Hernandez, Barbara M. Chapman

Proceedings of the Facing the Multicore-Challenge, 2012

2011

Subkilometer crater discovery with boosting and transfer learning.

Wei Ding, Tomasz F. Stepinski, Yang Mu, Lourenço P. C. Bandeira, Ricardo Vilalta, Youxi Wu, Zhenyu Lu, Tianyu Cao, Xindong Wu

ACM Trans. Intell. Syst. Technol., 2011

One-class learning and concept summarization for data streams.

Xingquan Zhu, Wei Ding, Philip S. Yu, Chengqi Zhang

Knowl. Inf. Syst., 2011

Entropy Quad-Trees for High Complexity Regions Detection.

Rosanne Vetro, Dan A. Simovici, Wei Ding

Int. J. Softw. Sci. Comput. Intell., 2011

Adaptive Study Design Through Semantic Association Rule Analysis.

Ping Chen, Wei Ding, Walter Garcia

Int. J. Softw. Sci. Comput. Intell., 2011

Controlling patterns of geospatial phenomena.

Tomasz F. Stepinski, Wei Ding, Christoph F. Eick

GeoInformatica, 2011

A framework for regional association rule mining and scoping in spatial datasets.

Wei Ding, Christoph F. Eick, Xiaojing Yuan, Jing Wang, Jean-Philippe Nicot

GeoInformatica, 2011

Feasibility study for automatic calibration of transportation simulation models.

Hong Liu, Qian Yu, Wei Ding, Daiheng Ni, Honggang Wang, Stephen Shannon

Proceedings of the 2011 Spring Simulation Multi-conference, 2011

Empirical Discriminative Tensor Analysis for Crime Forecasting.

Yang Mu, Wei Ding, Melissa Morabito, Dacheng Tao

Proceedings of the Knowledge Science, Engineering and Management, 2011

Semi-supervised based active class selection for automatic identification of sub-kilometer craters.

Siyi Liu, Wei Ding, Tomasz F. Stepinski

Proceedings of the 7th International Symposium on Image and Signal Processing and Analysis, 2011

Biologically inspired model for crater detection.

Yang Mu, Wei Ding, Dacheng Tao, Tomasz F. Stepinski

Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

Personalized News Filtering and Summarization on the Web.

Xindong Wu, Fei Xie, Gong-Qing Wu, Wei Ding

Proceedings of the IEEE 23rd International Conference on Tools with Artificial Intelligence, 2011

Crime Forecasting Using Data Mining Techniques.

Chung-Hsien Yu, Max W. Ward, Melissa Morabito, Wei Ding

Proceedings of the Data Mining Workshops (ICDMW), 2011

Causal Associative Classification.

Kui Yu, Xindong Wu, Wei Ding, Hao Wang, Hongliang Yao

Proceedings of the 11th IEEE International Conference on Data Mining, 2011

Experiences with High-Level Programming Directives for Porting Applications to GPUs.

Oscar R. Hernandez, Wei Ding, Barbara M. Chapman, Christos Kartsaklis, Ramanan Sankaran, Richard L. Graham

Proceedings of the Facing the Multicore - Challenge II, 2011

Bernoulli trials based feature selection for crater detection.

Siyi Liu, Wei Ding, Joseph Paul Cohen, Dan A. Simovici, Tomasz F. Stepinski

Proceedings of the 19th ACM SIGSPATIAL International Symposium on Advances in Geographic Information Systems, 2011

Genetically Enhanced Feature Selection of Discriminative Planetary Crater Image Features.

Joseph Paul Cohen, Siyi Liu, Wei Ding

Proceedings of the AI 2011: Advances in Artificial Intelligence, 2011

Detecting Intruders Using a Long Connection Chain to Connect to a Host.

Wei Ding, Shou-Hsuan Stephen Huang

Proceedings of the 25th IEEE International Conference on Advanced Information Networking and Applications, 2011

2010

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

Andrew Tran, Chris Bowes, David Brown, Ping Chen, Max Choly, Wei Ding

Proceedings of the 5th International Workshop on Semantic Evaluation, 2010

Online Streaming Feature Selection.

Xindong Wu, Kui Yu, Hao Wang, Wei Ding

Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010

Causal Discovery from Streaming Features.

Kui Yu, Xindong Wu, Hao Wang, Wei Ding

Proceedings of the ICDM 2010, 2010

Exploring labeled spatial datasets using association analysis.

Tomasz F. Stepinski, Josue Salazar, Wei Ding

Proceedings of the 18th ACM SIGSPATIAL International Symposium on Advances in Geographic Information Systems, 2010

ESTATE: Strategy for Exploring Labeled Spatial Datasets Using Association Analysis.

Tomasz F. Stepinski, Josue Salazar, Wei Ding, Denis White

Proceedings of the Discovery Science - 13th International Conference, 2010

Discovering spatio-social motifs of electoral support using discriminative pattern mining.

Tomasz F. Stepinski, Josue Salazar, Wei Ding

Proceedings of the 1st International Conference and Exhibition on Computing for Geospatial Research & Application, 2010

Automatic detection of craters in planetary images: an embedded framework using feature selection and boosting.

Wei Ding, Tomasz F. Stepinski, Lourenço P. C. Bandeira, Ricardo Vilalta, Youxi Wu, Zhenyu Lu, Tianyu Cao

Proceedings of the 19th ACM Conference on Information and Knowledge Management, 2010

Using Dynamic Programming Techniques to Detect Multi-hop Stepping-Stone Pairs in a Connection Chain.

Ying-Wei Kuo, Shou-Hsuan Stephen Huang, Wei Ding, Rebecca Kern, Jianhua Yang

Proceedings of the 24th IEEE International Conference on Advanced Information Networking and Applications, 2010

Effective classification for crater detection: A case study on Mars.

Jue Wang, Wei Ding, Barry Fradkin, Cuong H. Pham, Peter Sherman, Binh D. Tran, Dawei Wang, Yun Yang, Tomasz F. Stepinski

Proceedings of the 9th IEEE International Conference on Cognitive Informatics, 2010

Mining for high complexity regions using entropy and box counting dimension quad-trees.

Rosanne Vetro, Wei Ding, Dan A. Simovici

Proceedings of the 9th IEEE International Conference on Cognitive Informatics, 2010

2009

A Lexical Knowledge Representation Model for Natural Language Understanding.

Ping Chen, Wei Ding, Chengmin Ding

Int. J. Softw. Sci. Comput. Intell., 2009

Discovery of feature-based hot spots using supervised clustering.

Wei Ding, Tomasz F. Stepinski, Rachana Parmar, Dan Jiang, Christoph F. Eick

Comput. Geosci., 2009

Discovery of Geospatial Discriminating Patterns from Remote Sensing Datasets.

Wei Ding, Tomasz F. Stepinski, Josue Salazar

Proceedings of the SIAM International Conference on Data Mining, 2009

A Fully Unsupervised Word Sense Disambiguation Method Using Dependency Knowledge.

Ping Chen, Wei Ding, Chris Bowes, David Brown

Proceedings of the Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics, Proceedings, May 31, 2009

Large-Scale Dependency Knowledge Acquisition and its Extrinsic Evaluation Through Word Sense Disambiguation.

Ping Chen, Wei Ding, Chris Bowes, David Brown

Proceedings of the ICTAI 2009, 2009

Word Classification: An Experimental Approach with Naïve Bayes.

Wei Ding, Hisham Al-Mubaid, Srikanth Kotagiri

Proceedings of the ISCA 24th International Conference on Computers and Their Applications, 2009

Detecting Stepping-Stone Intruders with Long Connection Chains.

Wei Ding, Matthew J. Hausknecht, Shou-Hsuan Stephen Huang, Zach Riggle

Proceedings of the Fifth International Conference on Information Assurance and Security, 2009

2008

Parsing Tree Matching Based Question Answering.

Ping Chen, Timothy Simmons, Carlos Lacayo, Wei Ding

Proceedings of the First Text Analysis Conference, 2008

Towards Region Discovery in Spatial Datasets.

Wei Ding, Rachsuda Jiamthapthaksin, Rachana Parmar, Dan Jiang, Tomasz F. Stepinski, Christoph F. Eick

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2008

Discovering controlling factors of geospatial variables.

Tomasz F. Stepinski, Wei Ding, Christoph F. Eick

Proceedings of the 16th ACM SIGSPATIAL International Symposium on Advances in Geographic Information Systems, 2008

Finding regional co-location patterns for sets of continuous variables in spatial datasets.

Christoph F. Eick, Rachana Parmar, Wei Ding, Tomasz F. Stepinski, Jean-Philippe Nicot

Proceedings of the 16th ACM SIGSPATIAL International Symposium on Advances in Geographic Information Systems, 2008

2007

On Regional Association Rule Scoping.

Wei Ding, Christoph F. Eick, Xiaojing Yuan, Jing Wang, Jean-Philippe Nicot

Proceedings of the Workshops Proceedings of the 7th IEEE International Conference on Data Mining (ICDM 2007), 2007

2006

A Framework for Regional Association Rule Mining in Spatial Datasets.

Wei Ding, Christoph F. Eick, Jing Wang, Xiaojing Yuan

Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 2006

SenseNet: A Knowledge Representation Model for Computational Semantics.

Ping Chen, Wei Ding, Chengmin Ding

Proceedings of the Firth IEEE International Conference on Cognitive Informatics, 2006

2005

Using a pre-assessment exam to construct an effective concept-based genetic program for predicting course success.

Gary D. Boetticher, Wei Ding, Charles Moen, Kwok-Bun Yue

Proceedings of the 36th SIGCSE Technical Symposium on Computer Science Education, 2005

Web-Based Interactive Visualization of Data Cubes.

Xusheng Wang, Ping Chen, Wei Ding

Proceedings of The 2005 International Conference on Modeling, 2005

2004

Design and evolution of an undergraduate course on web application development.

Kwok-Bun Yue, Wei Ding

Proceedings of the 9th Annual SIGCSE Conference on Innovation and Technology in Computer Science Education, 2004

2003

Icon-based Visualization of Large High-Dimensional Datasets.

Ping Chen, Chenyi Hu, Wei Ding, Heloise Lynn, Yves Simon

Proceedings of the 3rd IEEE International Conference on Data Mining (ICDM 2003), 2003

2001

Using a Model Checker to Test Safety Properties.

Paul Ammann, Wei Ding, Daling Xu

Proceedings of the 7th International Conference on Engineering of Complex Computer Systems (ICECCS 2001), 2001

2000

Evaluation of Three Specification-Based Testing Criteria.

Aynur Abdurazik, Paul Ammann, Wei Ding, A. Jefferson Offutt

Proceedings of the 6th International Conference on Engineering of Complex Computer Systems (ICECCS 2000), 2000