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ORCIDWei Ding 0003
Person information
- affiliation: University of Massachusetts, Department of Computer Science, Boston, MA, USA
- affiliation (PhD 2008): University of Houston, Department of Computer Science, TX, USA
Other persons with the same name
- Wei Ding — disambiguation page
- Wei Ding 0001 — Southeast University, School of Computer Science and Engineering, Nanjing, China
- Wei Ding 0002 — IBM China Research Laboratory, Beijing, China
- Wei Ding 0004 — Sonic Solutions
- Wei Ding 0005 — China Earthquake Administration, Key Laboratory of Earthquake Geodesy, Wuhan, China
- Wei Ding 0006
![[0000-0002-4353-5385]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0002-4353-5385")
— Zhejiang University of Water Resources and Electric Power, Hangzhou, China - Wei Ding 0007 — Barclays Investment Bank, New York, NY, USA
- Wei Ding 0008 — Qualcomm Innovation Center Inc., San Diego, CA, USA (and 1 more)
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2020 – today
- 2022
[j46]Olga Andreeva, Wei Ding, Suzanne G. Leveille, Yurun Cai, Ping Chen:
Fall risk assessment through a synergistic multi-source DNN learning model. Artif. Intell. Medicine 127: 102280 (2022)- [j45]Kui Yu, Yajing Yang, Wei Ding:
Causal Feature Selection with Missing Data. ACM Trans. Knowl. Discov. Data 16(4): 66:1-66:24 (2022) - 2021
- [j44]Matthew Almeida, Yong Zhuang, Wei Ding, Scott E. Crouter, Ping Chen:
Mitigating Class-Boundary Label Uncertainty to Reduce Both Model Bias and Variance. ACM Trans. Knowl. Discov. Data 15(2): 27:1-27:18 (2021) - 2020
- [j43]Jipeng Qiang, Wei Ding, Marieke L. Kuijjer, John Quackenbush, Ping Chen:
Clustering Sparse Data With Feature Correlation With Application to Discover Subtypes in Cancer. IEEE Access 8: 67775-67789 (2020) - [j42]Shima Imani, Frank Madrid, Wei Ding, Scott E. Crouter, Eamonn J. Keogh:
Introducing time series snippets: a new primitive for summarizing long time series. Data Min. Knowl. Discov. 34(6): 1713-1743 (2020) - [j41]Kui Yu, Lin Liu, Jiuyong Li, Wei Ding, Thuc Duy Le:
Multi-Source Causal Feature Selection. IEEE Trans. Pattern Anal. Mach. Intell. 42(9): 2240-2256 (2020) - [c81]Tianyu Kang, Ping Chen, John Quackenbush, Wei Ding:
A Novel Deep Learning Model by Stacking Conditional Restricted Boltzmann Machine and Deep Neural Network. KDD 2020: 1316-1324 - [c80]Olga Andreeva, Wei Li, Wei Ding, Marieke L. Kuijjer, John Quackenbush, Ping Chen:
Catalysis Clustering with GAN by Incorporating Domain Knowledge. KDD 2020: 1344-1352 - [i12]Kevin Michael Amaral, Zihan Li, Wei Ding, Scott E. Crouter, Ping Chen:
SummerTime: Variable-length Time SeriesSummarization with Applications to PhysicalActivity Analysis. CoRR abs/2002.09000 (2020) - [i11]Matthew Almeida, Wei Ding, Scott E. Crouter, Ping Chen:
Mitigating Class Boundary Label Uncertainty to Reduce Both Model Bias and Variance. CoRR abs/2002.09963 (2020)
2010 – 2019
- 2019
- [j40]Shaghayegh Gharghabi, Chin-Chia Michael Yeh, Yifei Ding, Wei Ding, Paul Hibbing, Samuel LaMunion, Andrew Kaplan, Scott E. Crouter, Eamonn J. Keogh:
Domain agnostic online semantic segmentation for multi-dimensional time series. Data Min. Knowl. Discov. 33(1): 96-130 (2019) - [j39]Shaghayegh Gharghabi, Chin-Chia Michael Yeh, Yifei Ding, Wei Ding, Paul Hibbing, Samuel LaMunion, Andrew Kaplan, Scott E. Crouter, Eamonn J. Keogh:
Correction to: Domain agnostic online semantic segmentation for multi-dimensional time series. Data Min. Knowl. Discov. 33(6): 1981-1982 (2019) - [j38]Wei Li, Wei Ding, Rajani S. Sadasivam, Xiaohui Cui, Ping Chen:
His-GAN: A histogram-based GAN model to improve data generation quality. Neural Networks 119: 31-45 (2019) - [j37]Zhaolong Ling, Kui Yu, Hao Wang, Lin Liu, Wei Ding, Xindong Wu:
BAMB: A Balanced Markov Blanket Discovery Approach to Feature Selection. ACM Trans. Intell. Syst. Technol. 10(5): 52:1-52:25 (2019) - [j36]Jipeng Qiang, Ping Chen, Wei Ding, Tong Wang, Fei Xie, Xindong Wu:
Heterogeneous-Length Text Topic Modeling for Reader-Aware Multi-Document Summarization. ACM Trans. Knowl. Discov. Data 13(4): 42:1-42:21 (2019) - 2018
- [c79]Ping Chen, Fei Wu, Tong Wang, Wei Ding:
A Semantic QA-Based Approach for Text Summarization Evaluation. AAAI 2018: 4800-4807 - [c78]Yong Zhuang, David L. Small, Xin Shu, Kui Yu, Shafiqul Islam, Wei Ding:
Galaxy: Towards Scalable and Interpretable Explanation on High-Dimensional and Spatio-Temporal Correlated Climate Data. ICBK 2018: 146-153 - [c77]Zihan Li, Wei Ding, Kui Yu, Suzanne G. Leveille, Pin Chen:
TL-PC: An Interpretable Causal Relationship Networks on Older Adults Fall Influence Factors. ICBK 2018: 213-220 - [c76]Shima Imani, Frank Madrid, Wei Ding, Scott E. Crouter, Eamonn J. Keogh:
Matrix Profile XIII: Time Series Snippets: A New Primitive for Time Series Data Mining. ICBK 2018: 382-389 - [c75]Tianyu Kang, Kourosh Zarringhalam, Marieke L. Kuijjer, Ping Chen, John Quackenbush, Wei Ding:
Clustering on Sparse Data in Non-overlapping Feature Space with Applications to Cancer Subtyping. ICDM 2018: 1079-1084 - 2017
- [j35]Hamidreza Mohebbi, Yang Mu, Wei Ding:
Learning weighted distance metric from group level information and its parallel implementation. Appl. Intell. 46(1): 180-196 (2017) - [j34]Tianyu Kang, Wei Ding, Luoyan Zhang, Daniel Ziemek, Kourosh Zarringhalam:
A biological network-based regularized artificial neural network model for robust phenotype prediction from gene expression data. BMC Bioinform. 18(1): 565:1-565:11 (2017) - [j33]Kui Yu, Xindong Wu, Wei Ding, Yang Mu, Hao Wang:
Markov Blanket Feature Selection Using Representative Sets. IEEE Trans. Neural Networks Learn. Syst. 28(11): 2775-2788 (2017) - [c74]Yong Zhuang, Matthew Almeida, Melissa Morabito, Wei Ding:
Crime Hot Spot Forecasting: A Recurrent Model with Spatial and Temporal Information. ICBK 2017: 143-150 - [i10]Jipeng Qiang, Wei Ding, John Quackenbush, Ping Chen:
Network-based Distance Metric with Application to Discover Disease Subtypes in Cancer. CoRR abs/1703.01900 (2017) - 2016
- [j32]Joseph Paul Cohen, Wei Ding, Caitlin Kuhlman, Aijun Chen, Liping Di:
Rapid building detection using machine learning. Appl. Intell. 45(2): 443-457 (2016) - [j31]Xiang Ren, Wei Ding, Scott E. Crouter, Yang Mu, Rong Xie:
Activity recognition and intensity estimation in youth from accelerometer data aided by machine learning. Appl. Intell. 45(2): 512-529 (2016) - [j30]Jipeng Qiang, Ping Chen, Wei Ding, Fei Xie, Xindong Wu:
Multi-document summarization using closed patterns. Knowl. Based Syst. 99: 28-38 (2016) - [j29]Kui Yu, Wei Ding, Xindong Wu:
LOFS: A library of online streaming feature selection. Knowl. Based Syst. 113: 1-3 (2016) - [j28]Kui Yu, Xindong Wu, Wei Ding, Jian Pei:
Scalable and Accurate Online Feature Selection for Big Data. ACM Trans. Knowl. Discov. Data 11(2): 16:1-16:39 (2016) - [j27]Chung-Hsien Yu, Wei Ding, Melissa Morabito, Ping Chen:
Hierarchical Spatio-Temporal Pattern Discovery and Predictive Modeling. IEEE Trans. Knowl. Data Eng. 28(4): 979-993 (2016) - [j26]Qin Zhang, Peng Zhang, Guodong Long, Wei Ding, Chengqi Zhang, Xindong Wu:
Online Learning from Trapezoidal Data Streams. IEEE Trans. Knowl. Data Eng. 28(10): 2709-2723 (2016) - [c73]Jingwei Li, Wei Ding, Hsing Cheng, Ping Chen, Dehai Di, Wei Huang:
A Comprehensive Literature Review on Big Data in Healthcare. AMCIS 2016 - [c72]Kevin Michael Amaral, Ping Chen, Wei Ding, Rajani S. Sadasivam:
Sacrificing Overall Classification Quality to Improve Classification Accuracy of Well-Sought Classes. ICDM Workshops 2016: 1179-1182 - [c71]Yong Zhuang, Kui Yu, Dawei Wang, Wei Ding:
An evaluation of big data analytics in feature selection for long-lead extreme floods forecasting. ICNSC 2016: 1-6 - [c70]Jipeng Qiang, Ping Chen, Wei Ding, Tong Wang, Fei Xie, Xindong Wu:
Topic Discovery from Heterogeneous Texts. ICTAI 2016: 196-203 - [i9]Joseph Paul Cohen, Henry Z. Lo, Tingting Lu, Wei Ding:
Crater Detection via Convolutional Neural Networks. CoRR abs/1601.00978 (2016) - [i8]Joseph Paul Cohen, Henry Z. Lo, Wei Ding:
RandomOut: Using a convolutional gradient norm to win The Filter Lottery. CoRR abs/1602.05931 (2016) - [i7]Kui Yu, Wei Ding, Xindong Wu:
LOFS: Library of Online Streaming Feature Selection. CoRR abs/1603.00531 (2016) - [i6]Joseph Paul Cohen, Wei Ding, Caitlin Kuhlman, Aijun Chen, Liping Di:
Rapid building detection using machine learning. CoRR abs/1603.04392 (2016) - [i5]Henry Z. Lo, Kevin Amaral, Wei Ding:
Scale Normalization. CoRR abs/1604.07796 (2016) - 2015
- [j25]Zhou Zhang, Yuewen Liu, Wei Ding, Wayne Wei Huang, Qin Su, Ping Chen:
Proposing a new friend recommendation method, FRUTAI, to enhance social media providers' performance. Decis. Support Syst. 79: 46-54 (2015) - [j24]Kui Yu, Wei Ding, Dan A. Simovici, Hao Wang, Jian Pei, Xindong Wu:
Classification with Streaming Features: An Emerging-Pattern Mining Approach. ACM Trans. Knowl. Discov. Data 9(4): 30:1-30:31 (2015) - [c69]Chung-Hsien Yu, Dong Luo, Wei Ding, Joseph Paul Cohen, David L. Small, Shafiqul Islam:
Spatio-temporal asynchronous co-occurrence pattern for big climate data towards long-lead flood prediction. IEEE BigData 2015: 865-870 - [c68]Henry Z. Lo, Joseph Paul Cohen, Wei Ding:
Prediction gradients for feature extraction and analysis from convolutional neural networks. FG 2015: 1-6 - [c67]Dawei Wang, Wei Ding:
A Hierarchical Pattern Learning Framework for Forecasting Extreme Weather Events. ICDM 2015: 1021-1026 - [c66]Qin Zhang, Peng Zhang, Guodong Long, Wei Ding, Chengqi Zhang, Xindong Wu:
Towards Mining Trapezoidal Data Streams. ICDM 2015: 1111-1116 - [c65]Henry Z. Lo, Wei Ding:
Understanding Deep Networks with Gradients. ICDM Workshops 2015: 1548-1555 - [c64]Zhou Zhang, Yuewen Liu, Wei Ding, Wayne Wei Huang:
A Friend Recommendation System Using Users' Information of Total Attributes. ICDS 2015: 34-41 - [c63]Yahui Di, Wei Ding, Yang Mu, David L. Small, Shafiqul Islam, Ni-Bin Chang:
Developing machine learning tools for long-lead heavy precipitation prediction with multi-sensor data. ICNSC 2015: 63-68 - [c62]Kui Yu, Dawei Wang, Wei Ding, Jian Pei, David L. Small, Shafiqul Islam, Xindong Wu:
Tornado Forecasting with Multiple Markov Boundaries. KDD 2015: 2237-2246 - [c61]Daniel D. Garcia, Wei Ding, Joseph Paul Cohen, Barbara Ericson, Jeff Gray, Dale Reed:
One-Day Activities for K-12 Face-to-Face Outreach. SIGCSE 2015: 520-521 - [c60]Ke Huang, Xiang Ding, Jing Xu, Guanling Chen, Wei Ding:
Monitoring Sleep and Detecting Irregular Nights through Unconstrained Smartphone Sensing. UIC/ATC/ScalCom 2015: 36-45 - [i4]Joseph Paul Cohen, Wei Ding, Abraham Bagherjeiran:
Semi-Supervised Web Wrapper Repair via Recursive Tree Matching. CoRR abs/1505.01303 (2015) - [i3]Kui Yu, Xindong Wu, Wei Ding, Jian Pei:
Scalable and Accurate Online Feature Selection for Big Data. CoRR abs/1511.09263 (2015) - [i2]Joseph Paul Cohen, Carla Aravena, Wei Ding:
The cost of reading research. A study of Computer Science publication venues. CoRR abs/1512.00127 (2015) - 2014
- [j23]Youxi Wu, Lingling Wang, Jiadong Ren, Wei Ding, Xindong Wu:
Mining sequential patterns with periodic wildcard gaps. Appl. Intell. 41(1): 99-116 (2014) - [j22]Henry Z. Lo, Wei Ding, Zohreh Nazeri:
Temporality and Context for detecting adverse drug reactions from longitudinal data. Appl. Intell. 41(4): 1069-1080 (2014) - [j21]Chunxia Zhang, Xindong Wu, Zhendong Niu, Wei Ding:
Authorship identification from unstructured texts. Knowl. Based Syst. 66: 99-111 (2014) - [j20]Xindong Wu, Xingquan Zhu, Gong-Qing Wu, Wei Ding:
Data Mining with Big Data. IEEE Trans. Knowl. Data Eng. 26(1): 97-107 (2014) - [j19]Yang Mu, Henry Z. Lo, Wei Ding, Kevin Amaral, Scott E. Crouter:
Bipart: Learning Block Structurefor Activity Detection. IEEE Trans. Knowl. Data Eng. 26(10): 2397-2409 (2014) - [c59]Kui Yu, Xindong Wu, Wei Ding, Jian Pei:
Towards Scalable and Accurate Online Feature Selection for Big Data. ICDM 2014: 660-669 - [c58]Wei Ding, Ligang Lu, Mauricio Araya-Polo, Amik St.-Cyr, Detlef Hohl, Barbara M. Chapman:
Using GPU Shared Memory with a Directive-Based Approach. IPDPS Workshops 2014: 1021-1028 - [c57]Yang Mu, Henry Z. Lo, Wei Ding, Dacheng Tao:
Face Recognition from Multiple Images per Subject. ACM Multimedia 2014: 889-892 - [c56]Chung-Hsien Yu, Wei Ding, Ping Chen, Melissa Morabito:
Crime Forecasting Using Spatio-temporal Pattern with Ensemble Learning. PAKDD (2) 2014: 174-185 - 2013
- [j18]Dawei Wang, Wei Ding, Henry Z. Lo, Tomasz F. Stepinski, Josue Salazar, Melissa Morabito:
Crime hotspot mapping using the crime related factors - a spatial data mining approach. Appl. Intell. 39(4): 772-781 (2013) - [j17]Wei Ding, Chung-Hsing Hsu, Oscar R. Hernandez, Barbara M. Chapman, Richard L. Graham:
KLONOS: Similarity-based planning tool support for porting scientific applications. Concurr. Comput. Pract. Exp. 25(8): 1072-1088 (2013) - [j16]Xindong Wu, Fei Xie, Gong-Qing Wu, Wei Ding:
Pnfs: Personalized Web News Filtering and Summarization. Int. J. Artif. Intell. Tools 22(5) (2013) - [j15]Xindong Wu, Kui Yu, Wei Ding, Hao Wang, Xingquan Zhu:
Online Feature Selection with Streaming Features. IEEE Trans. Pattern Anal. Mach. Intell. 35(5): 1178-1192 (2013) - [j14]Yang Mu, Wei Ding, Dacheng Tao:
Local discriminative distance metrics ensemble learning. Pattern Recognit. 46(8): 2337-2349 (2013) - [j13]Kui Yu, Wei Ding, Hao Wang, Xindong Wu:
Bridging Causal Relevance and Pattern Discriminability: Mining Emerging Patterns from High-Dimensional Data. IEEE Trans. Knowl. Data Eng. 25(12): 2721-2739 (2013) - [j12]Dawei Wang, Wei Ding, Henry Z. Lo, Melissa Morabito, Ping Chen, Josue Salazar, Tomasz F. Stepinski:
Understanding the spatial distribution of crime based on its related variables using geospatial discriminative patterns. Comput. Environ. Urban Syst. 39: 93-106 (2013) - [c55]Wei Ding, Khoa Le, Shou-Hsuan Stephen Huang:
Detecting stepping-stones under the influence of packet jittering. IAS 2013: 31-36 - [c54]Hai-Guang Li, Xindong Wu, Zhao Li, Wei Ding:
Online Group Feature Selection from Feature Streams. AAAI 2013 - [c53]Kui Yu, Xindong Wu, Zan Zhang, Yang Mu, Hao Wang, Wei Ding:
Markov Blanket Feature Selection with Non-faithful Data Distributions. ICDM 2013: 857-866 - [c52]Hai-Guang Li, Xindong Wu, Zhao Li, Wei Ding:
Group Feature Selection with Streaming Features. ICDM 2013: 1109-1114 - [c51]Henry Z. Lo, Wei Ding, Zohreh Nazeri:
Mining Adverse Drug Reactions from Electronic Health Records. ICDM Workshops 2013: 1137-1140 - [c50]Yang Mu, Wei Ding:
Local Discriminative Distance Metrics and their Real World Applications. ICDM Workshops 2013: 1145-1152 - [c49]Yang Mu, Wei Ding, Tianyi Zhou, Dacheng Tao:
Constrained stochastic gradient descent for large-scale least squares problem. KDD 2013: 883-891 - [c48]Dawei Wang, Wei Ding, Kui Yu, Xindong Wu, Ping Chen, David L. Small, Shafiqul Islam:
Towards long-lead forecasting of extreme flood events: a data mining framework for precipitation cluster precursors identification. KDD 2013: 1285-1293 - [c47]Wei Ding, Oscar R. Hernandez, Tony Curtis, Barbara M. Chapman:
Porting Applications with OpenMP Using Similarity Analysis. LCPC 2013: 20-35 - [c46]Wei Ding, Xindong Wu, Shichao Zhang, Xiaofeng Zhu:
Feature Selection by Joint Graph Sparse Coding. SDM 2013: 803-811 - [p1]Wei Ding, Tomasz F. Stepinski, Josue Salazar:
Geospatial Contrast Mining with Applications on Labeled Spatial Data. Contrast Data Mining 2013: 303-316 - [e3]Wei Ding, Takashi Washio, Hui Xiong, George Karypis, Bhavani M. Thuraisingham, Diane J. Cook, Xindong Wu:
13th IEEE International Conference on Data Mining Workshops, ICDM Workshops, TX, USA, December 7-10, 2013. IEEE Computer Society 2013, ISBN 978-0-7695-5109-8 [contents] - 2012
- [j11]Kui Yu, Xindong Wu, Wei Ding, Hao Wang:
Exploring Causal Relationships with Streaming Features. Comput. J. 55(9): 1103-1117 (2012) - [j10]Ping Chen, Chris Bowes, Wei Ding, Max Choly:
Word Sense Disambiguation with Automatically Acquired Knowledge. IEEE Intell. Syst. 27(4): 46-55 (2012) - [j9]Siyi Liu, Wei Ding, Feng Gao, Tomasz F. Stepinski:
Adaptive Selective Learning for automatic identification of sub-kilometer craters. Neurocomputing 92: 78-87 (2012) - [c45]Wei Ding, Oscar R. Hernandez, Barbara M. Chapman:
A Similarity-Based Analysis Tool for Porting OpenMP Applications. Facing the Multicore-Challenge 2012: 13-24 - [c44]Meng Fang, Xingquan Zhu, Bin Li, Wei Ding, Xindong Wu:
Self-Taught Active Learning from Crowds. ICDM 2012: 858-863 - [c43]Henry Z. Lo, Dan A. Simovici, Wei Ding:
Several Remarks on Mining Frequent Trajectories in Graphs. IEA/AIE 2012: 78-87 - [c42]Daiheng Ni, Hong Liu, Wei Ding, Yuanchang Xie, Honggang Wang, Hossein Pishro-Nik, Qian Yu:
Cyber-Physical Integration to Connect Vehicles for Transformed Transportation Safety and Efficiency. IEA/AIE 2012: 88-94 - [c41]Dawei Wang, Wei Ding, Tomasz F. Stepinski, Josue Salazar, Henry Z. Lo, Melissa Morabito:
Optimization of Criminal HotSpots Based on Underlying Crime Controlling Factors Using Geospatial Discriminative Pattern. IEA/AIE 2012: 553-562 - [c40]Kui Yu, Wei Ding, Dan A. Simovici, Xindong Wu:
Mining emerging patterns by streaming feature selection. KDD 2012: 60-68 - [c39]Yin Song, Longbing Cao, Xindong Wu, Gang Wei, Wu Ye, Wei Ding:
Coupled behavior analysis for capturing coupling relationships in group-based market manipulations. KDD 2012: 976-984 - [e2]He Jiang, Wei Ding, Moonis Ali, Xindong Wu:
Advanced Research in Applied Artificial Intelligence - 25th International Conference on Industrial Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2012, Dalian, China, June 9-12, 2012. Proceedings. Lecture Notes in Computer Science 7345, Springer 2012, ISBN 978-3-642-31086-7 [contents] - [e1]Wei Ding, He Jiang, Moonis Ali, Mingchu Li:
Modern Advances in Intelligent Systems and Tools. Studies in Computational Intelligence 431, Springer 2012, ISBN 978-3-642-30731-7 [contents] - 2011
- [j8]Wei Ding, Christoph F. Eick, Xiaojing Yuan, Jing Wang, Jean-Philippe Nicot:
A framework for regional association rule mining and scoping in spatial datasets. GeoInformatica 15(1): 1-28 (2011) - [j7]Tomasz F. Stepinski, Wei Ding, Christoph F. Eick:
Controlling patterns of geospatial phenomena. GeoInformatica 15(3): 399-416 (2011) - [j6]Rosanne Vetro, Dan A. Simovici, Wei Ding:
Entropy Quad-Trees for High Complexity Regions Detection. Int. J. Softw. Sci. Comput. Intell. 3(1): 16-33 (2011) - [j5]Ping Chen, Wei Ding, Walter Garcia:
Adaptive Study Design Through Semantic Association Rule Analysis. Int. J. Softw. Sci. Comput. Intell. 3(2): 34-48 (2011) - [j4]Xingquan Zhu, Wei Ding, Philip S. Yu, Chengqi Zhang:
One-class learning and concept summarization for data streams. Knowl. Inf. Syst. 28(3): 523-553 (2011) - [j3]Wei Ding, Tomasz F. Stepinski, Yang Mu, Lourenço P. C. Bandeira, Ricardo Vilalta, Youxi Wu, Zhenyu Lu, Tianyu Cao, Xindong Wu:
Subkilometer crater discovery with boosting and transfer learning. ACM Trans. Intell. Syst. Technol. 2(4): 39:1-39:22 (2011) - [c38]Wei Ding, Shou-Hsuan Stephen Huang:
Detecting Intruders Using a Long Connection Chain to Connect to a Host. AINA 2011: 121-128 - [c37]Joseph Paul Cohen, Siyi Liu, Wei Ding:
Genetically Enhanced Feature Selection of Discriminative Planetary Crater Image Features. Australasian Conference on Artificial Intelligence 2011: 61-71 - [c36]Siyi Liu, Wei Ding, Joseph Paul Cohen, Dan A. Simovici, Tomasz F. Stepinski:
Bernoulli trials based feature selection for crater detection. GIS 2011: 461-464 - [c35]Oscar R. Hernandez, Wei Ding, Barbara M. Chapman, Christos Kartsaklis, Ramanan Sankaran, Richard L. Graham:
Experiences with High-Level Programming Directives for Porting Applications to GPUs. Facing the Multicore-Challenge 2011: 96-107 - [c34]Chung-Hsien Yu, Max W. Ward, Melissa Morabito, Wei Ding:
Crime Forecasting Using Data Mining Techniques. ICDM Workshops 2011: 779-786 - [c33]Kui Yu, Xindong Wu, Wei Ding, Hao Wang, Hongliang Yao:
Causal Associative Classification. ICDM 2011: 914-923 - [c32]Xindong Wu, Fei Xie, Gong-Qing Wu, Wei Ding:
Personalized News Filtering and Summarization on the Web. ICTAI 2011: 414-421 - [c31]Yang Mu, Wei Ding, Dacheng Tao, Tomasz F. Stepinski:
Biologically inspired model for crater detection. IJCNN 2011: 2487-2494 - [c30]Siyi Liu, Wei Ding, Tomasz F. Stepinski:
Semi-supervised based active class selection for automatic identification of sub-kilometer craters. ISPA 2011: 615-620 - [c29]Yang Mu, Wei Ding, Melissa Morabito, Dacheng Tao:
Empirical Discriminative Tensor Analysis for Crime Forecasting. KSEM 2011: 293-304 - [c28]Hong Liu, Qian Yu, Wei Ding, Daiheng Ni, Honggang Wang, Stephen Shannon:
Feasibility study for automatic calibration of transportation simulation models. SpringSim (ANSS) 2011: 87-94 - 2010
- [c27]Rosanne Vetro, Wei Ding, Dan A. Simovici:
Mining for high complexity regions using entropy and box counting dimension quad-trees. IEEE ICCI 2010: 168-173 - [c26]Jue Wang, Wei Ding, Barry Fradkin, Cuong H. Pham, Peter Sherman, Binh D. Tran, Dawei Wang,