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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.org/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
- 2024
[j52]Tianyu Kang, Wei Ding, Ping Chen:
CRESPR: Modular sparsification of DNNs to improve pruning performance and model interpretability. Neural Networks 172: 106067 (2024)- [j51]Wei Li, Wei Liu, Jinlin Chen, Libing Wu, Patrick D. Flynn, Wei Ding, Ping Chen:
Reducing Mode Collapse With Monge-Kantorovich Optimal Transport for Generative Adversarial Networks. IEEE Trans. Cybern. 54(8): 4539-4552 (2024) - [c86]Wei Ding, Gustau Camps-Valls:
Overview of ACM SIGKDD 2024 AI4Science4AI Special Day. KDD 2024: 6693-6694 - [c85]Zihan Li, Wei Ding, Inal Mashukov, Scott E. Crouter, Ping Chen:
A Multi-view Feature Construction and Multi-Encoder-Decoder Transformer Architecture for Time Series Classification. PAKDD (6) 2024: 239-250 - 2023
- [j50]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:
A Summary of ICDE 2022 Research Session Panels. IEEE Data Eng. Bull. 46(4): 4-17 (2023) - [j49]Wenbin An, Feng Tian, Ping Chen, Qinghua Zheng, Wei Ding:
New User Intent Discovery With Robust Pseudo Label Training and Source Domain Joint Training. IEEE Intell. Syst. 38(4): 21-31 (2023) - [c84]Wenbin An, Feng Tian, Qinghua Zheng, Wei Ding, Qianying Wang, Ping Chen:
Generalized Category Discovery with Decoupled Prototypical Network. AAAI 2023: 12527-12535 - [c83]Yong Zhuang, David L. Small, Patrick D. Flynn, Wahid Palash, Shafiqul Islam, Ping Chen, Wei Ding:
CASTLE: A Cascaded Spatio-Temporal Approach for Long-lead Streamflow Forecasting. IEEE Big Data 2023: 1031-1038 - 2022
- [j48]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) - [j47]Olga Andreeva, Matthew Almeida, Wei Ding, Scott E. Crouter, Ping Chen:
Maximizing Fairness in Deep Neural Networks via Mode Connectivity. IEEE Intell. Syst. 37(3): 36-44 (2022) - [j46]Kevin Amaral, Zihan Li, Wei Ding, Scott E. Crouter, Ping Chen:
SummerTime: Variable-length Time Series Summarization with Application to Physical Activity Analysis. ACM Trans. Comput. Heal. 3(4): 47:1-47:15 (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) - [c82]Yong Zhuang, Matthew Almeida, Wei Ding, Patrick D. Flynn, Shafiqul Islam, Ping Chen:
Widening the Time Horizon: Predicting the Long-Term Behavior of Chaotic Systems. ICDM 2022: 833-842 - [i13]Wenbin An, Feng Tian, Qinghua Zheng, Wei Ding, Qianying Wang, Ping Chen:
Generalized Category Discovery with Decoupled Prototypical Network. CoRR abs/2211.15115 (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: 1627-1628 - [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 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, Yun Yang, Tomasz F. Stepinski:
Effective classification for crater detection: A case study on Mars. IEEE ICCI 2010: 688-695 - [c25]Ying-Wei Kuo, Shou-Hsuan Stephen Huang, Wei Ding, Rebecca Kern, Jianhua Yang:
Using Dynamic Programming Techniques to Detect Multi-hop Stepping-Stone Pairs in a Connection Chain. AINA 2010: 198-205 - [c24]Wei Ding, Tomasz F. Stepinski, Lourenço P. C. Bandeira, Ricardo Vilalta, Youxi Wu, Zhenyu Lu, Tianyu Cao:
Automatic detection of craters in planetary images: an embedded framework using feature selection and boosting. CIKM 2010: 749-758 - [c23]Tomasz F. Stepinski, Josue Salazar, Wei Ding:
Discovering spatio-social motifs of electoral support using discriminative pattern mining. COM.Geo 2010 - [c22]Tomasz F. Stepinski, Josue Salazar, Wei Ding, Denis White:
ESTATE: Strategy for Exploring Labeled Spatial Datasets Using Association Analysis. Discovery Science 2010: 326-340 - [c21]Tomasz F. Stepinski, Josue Salazar, Wei Ding:
Exploring labeled spatial datasets using association analysis. GIS 2010: 530-531 - [c20]Kui Yu, Xindong Wu, Hao Wang, Wei Ding:
Causal Discovery from Streaming Features. ICDM 2010: 1163-1168 - [c19]Xindong Wu, Kui Yu, Hao Wang, Wei Ding:
Online Streaming Feature Selection. ICML 2010: 1159-1166 - [c18]Andrew Tran, Chris Bowes, David Brown, Ping Chen, Max Choly, Wei Ding:
TreeMatch: A Fully Unsupervised WSD System Using Dependency Knowledge on a Specific Domain. SemEval@ACL 2010: 396-401
2000 – 2009
- 2009
- [j2]Wei Ding, Tomasz F. Stepinski, Rachana Parmar, Dan Jiang, Christoph F. Eick:
Discovery of feature-based hot spots using supervised clustering. Comput. Geosci. 35(7): 1508-1516 (2009) - [j1]Ping Chen, Wei Ding, Chengmin Ding:
A Lexical Knowledge Representation Model for Natural Language Understanding. Int. J. Softw. Sci. Comput. Intell. 1(4): 17-35 (2009) - [c17]Wei Ding, Matthew J. Hausknecht, Shou-Hsuan Stephen Huang, Zach Riggle:
Detecting Stepping-Stone Intruders with Long Connection Chains. IAS 2009: 665-669 - [c16]Wei Ding, Hisham Al-Mubaid, Srikanth Kotagiri:
Word Classification: An Experimental Approach with Naïve Bayes. CATA 2009: 215-221 - [c15]Ping Chen, Wei Ding, Chris Bowes, David Brown:
Large-Scale Dependency Knowledge Acquisition and its Extrinsic Evaluation Through Word Sense Disambiguation. ICTAI 2009: 314-318 - [c14]Ping Chen, Wei Ding, Chris Bowes, David Brown:
A Fully Unsupervised Word Sense Disambiguation Method Using Dependency Knowledge. HLT-NAACL 2009: 28-36 - [c13]Wei Ding, Tomasz F. Stepinski, Josue Salazar:
Discovery of Geospatial Discriminating Patterns from Remote Sensing Datasets. SDM 2009: 425-436 - 2008
- [c12]Christoph F. Eick, Rachana Parmar, Wei Ding, Tomasz F. Stepinski, Jean-Philippe Nicot:
Finding regional co-location patterns for sets of continuous variables in spatial datasets. GIS 2008: 30 - [c11]Tomasz F. Stepinski, Wei Ding, Christoph F. Eick:
Discovering controlling factors of geospatial variables. GIS 2008: 47 - [c10]Wei Ding, Rachsuda Jiamthapthaksin, Rachana Parmar, Dan Jiang, Tomasz F. Stepinski, Christoph F. Eick:
Towards Region Discovery in Spatial Datasets. PAKDD 2008: 88-99 - [i1]Ping Chen, Timothy Simmons, Carlos Lacayo, Wei Ding:
Parsing Tree Matching Based Question Answering. TAC 2008 - 2007
- [c9]Wei Ding, Christoph F. Eick, Xiaojing Yuan, Jing Wang, Jean-Philippe Nicot:
On Regional Association Rule Scoping. ICDM Workshops 2007: 595-600 - 2006
- [c8]Ping Chen, Wei Ding, Chengmin Ding:
SenseNet: A Knowledge Representation Model for Computational Semantics. IEEE ICCI 2006: 434-439 - [c7]Wei Ding, Christoph F. Eick, Jing Wang, Xiaojing Yuan:
A Framework for Regional Association Rule Mining in Spatial Datasets. ICDM 2006: 851-856 - 2005
- [c6]Xusheng Wang, Ping Chen, Wei Ding:
Web-Based Interactive Visualization of Data Cubes. MSV 2005: 136-143 - [c5]Gary D. Boetticher, Wei Ding, Charles Moen, Kwok-Bun Yue:
Using a pre-assessment exam to construct an effective concept-based genetic program for predicting course success. SIGCSE 2005: 500-504 - 2004
- [c4]Kwok-Bun Yue, Wei Ding:
Design and evolution of an undergraduate course on web application development. ITiCSE 2004: 22-26 - 2003
- [c3]Ping Chen, Chenyi Hu, Wei Ding, Heloise Lynn, Yves Simon:
Icon-based Visualization of Large High-Dimensional Datasets. ICDM 2003: 505-508 - 2001
- [c2]Paul Ammann, Wei Ding, Daling Xu:
Using a Model Checker to Test Safety Properties. ICECCS 2001: 212-221 - 2000
- [c1]Aynur Abdurazik, Paul Ammann, Wei Ding, A. Jefferson Offutt:
Evaluation of Three Specification-Based Testing Criteria. ICECCS 2000: 179-187
Coauthor Index
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