Wei Ding

167 papers A* 25A 6B 15C 9Misc 1Journal 67Unranked 37
YearRankTypeTitle / Venue / Authors
2026 — ed.
Database Systems for Advanced Applications - 30th International Conference, DASFAA 2025, Singapore, Singapore, May 26-29, 2025, Proceedings, Part II
DASFAA (2)
Feida Zhu, Philip S. Yu, Akiyo Nadamoto, Ee-Peng Lim, Kyuseok Shim, Wei Ding, Bingxue Zhang
2026 — ed.
Database Systems for Advanced Applications - 30th International Conference, DASFAA 2025, Singapore, Singapore, May 26-29, 2025, Proceedings, Part III
DASFAA (3)
Feida Zhu, Philip S. Yu, Akiyo Nadamoto, Ee-Peng Lim, Kyuseok Shim, Wei Ding, Bingxue Zhang
2026 — ed.
Database Systems for Advanced Applications - 30th International Conference, DASFAA 2025, Singapore, Singapore, May 26-29, 2025, Proceedings, Part V
DASFAA (5)
Feida Zhu, Philip S. Yu, Akiyo Nadamoto, Ee-Peng Li, Kyuseok Shim, Wei Ding, Bingxue Zhang
2026 — ed.
Database Systems for Advanced Applications - 30th International Conference, DASFAA 2025, Singapore, Singapore, May 26-29, 2025, Proceedings, Part VI
DASFAA (6)
Feida Zhu, Philip S. Yu, Akiyo Nadamoto, Ee-Peng Lim, Kyuseok Shim, Wei Ding, Bingxue Zhang
2025 B conf
FACT: Gated Fusion-Augmented Causal Mask Transformer for Pseudotime Analysis.
IEEE Big Data
Zhen Lu, Chengjie Zheng, Iris Shen, John Quackenbush, Viola Fanfani, Wei Ding, Ping Chen
2025 J jnl
Horizon Forcing: Improving the Recurrent Forecasting of Chaotic Systems.
ACM Trans. Intell. Syst. Technol.
Yong Zhuang, Matthew Almeida, Wei Ding, Shafiqul Islam, Zihan Li, Ping Chen
2025 — conf
Improving Generalization in Deep Neural Networks by Mitigating Memorization.
PAKDD (2)
Yong Zhuang, Tianyu Kang, Zhen Lu, Wei Ding, Ping Chen
2025 — conf
KDD Health Day 2025: Harnessing AI Opportunities in Biomedicine and Healthcare.
KDD (2)
Peipei Ping, Wei Ding, Carl Yang
2025 J jnl
TreeMatch: A Fully Unsupervised WSD System Using Dependency Knowledge on a Specific Domain.
CoRR
Andrew Tran, Chris Bowes, David Brown, Ping Chen, Max Choly, Wei Ding
2024 — conf
A Multi-view Feature Construction and Multi-Encoder-Decoder Transformer Architecture for Time Series Classification.
PAKDD (6)
Zihan Li, Wei Ding, Inal Mashukov, Scott E. Crouter, Ping Chen
2024 A conf
A Tri-Branch Network with Prototype-aware Matching for Universal Category Discovery.
ICME
Haonan Lin, Wenbin An, Yan Chen, Feng Tian, Yuzhe Yao, Wei Ding, Qianying Wang, Ping Chen
2024 J jnl
CRESPR: Modular sparsification of DNNs to improve pruning performance and model interpretability.
Neural Networks
Tianyu Kang, Wei Ding, Ping Chen
2024 B ed.
IEEE International Conference on Big Data, BigData 2024, Washington, DC, USA, December 15-18, 2024
IEEE Big Data
Wei Ding, Chang-Tien Lu, Fusheng Wang, Liping Di, Kesheng Wu, Jun Huan, Raghu Nambiar, Jundong Li, Filip Ilievski, Ricardo Baeza-Yates, Xiaohua Hu
2024 A* conf
Overview of ACM SIGKDD 2024 AI4Science4AI Special Day.
KDD
Wei Ding, Gustau Camps-Valls
2024 J jnl
Reducing Mode Collapse With Monge-Kantorovich Optimal Transport for Generative Adversarial Networks.
IEEE Trans. Cybern.
Wei Li, Wei Liu, Jinlin Chen, Libing Wu, Patrick D. Flynn, Wei Ding, Ping Chen
2023 J jnl
A Summary of ICDE 2022 Research Session Panels.
IEEE Data Eng. Bull.
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
2023 B conf
CASTLE: A Cascaded Spatio-Temporal Approach for Long-lead Streamflow Forecasting.
IEEE Big Data
Yong Zhuang, David L. Small, Patrick D. Flynn, Wahid Palash, Shafiqul Islam, Ping Chen, Wei Ding
2023 A* conf
Generalized Category Discovery with Decoupled Prototypical Network.
AAAI
Wenbin An, Feng Tian, Qinghua Zheng, Wei Ding, Qianying Wang, Ping Chen
2023 J jnl
New User Intent Discovery With Robust Pseudo Label Training and Source Domain Joint Training.
IEEE Intell. Syst.
Wenbin An, Feng Tian, Ping Chen, Qinghua Zheng, Wei Ding
2022 J jnl
Causal Feature Selection with Missing Data.
ACM Trans. Knowl. Discov. Data
Kui Yu, Yajing Yang, Wei Ding
2022 J jnl
Fall risk assessment through a synergistic multi-source DNN learning model.
Artif. Intell. Medicine
Olga Andreeva, Wei Ding, Suzanne G. Leveille, Yurun Cai, Ping Chen
2022 J jnl
Generalized Category Discovery with Decoupled Prototypical Network.
CoRR
Wenbin An, Feng Tian, Qinghua Zheng, Wei Ding, Qianying Wang, Ping Chen
2022 J jnl
Maximizing Fairness in Deep Neural Networks via Mode Connectivity.
IEEE Intell. Syst.
Olga Andreeva, Matthew Almeida, Wei Ding, Scott E. Crouter, Ping Chen
2022 J jnl
SummerTime: Variable-length Time Series Summarization with Application to Physical Activity Analysis.
ACM Trans. Comput. Heal.
Kevin Amaral, Zihan Li, Wei Ding, Scott E. Crouter, Ping Chen
2022 A* conf
Widening the Time Horizon: Predicting the Long-Term Behavior of Chaotic Systems.
ICDM
Yong Zhuang, Matthew Almeida, Wei Ding, Patrick D. Flynn, Shafiqul Islam, Ping Chen
2021 J jnl
Mitigating Class-Boundary Label Uncertainty to Reduce Both Model Bias and Variance.
ACM Trans. Knowl. Discov. Data
Matthew Almeida, Yong Zhuang, Wei Ding, Scott E. Crouter, Ping Chen
2020 A* conf
A Novel Deep Learning Model by Stacking Conditional Restricted Boltzmann Machine and Deep Neural Network.
KDD
Tianyu Kang, Ping Chen, John Quackenbush, Wei Ding
2020 A* conf
Catalysis Clustering with GAN by Incorporating Domain Knowledge.
KDD
Olga Andreeva, Wei Li, Wei Ding, Marieke L. Kuijjer, John Quackenbush, Ping Chen
2020 J jnl
Clustering Sparse Data With Feature Correlation With Application to Discover Subtypes in Cancer.
IEEE Access
Jipeng Qiang, Wei Ding, Marieke L. Kuijjer, John Quackenbush, Ping Chen
2020 J jnl
Introducing time series snippets: a new primitive for summarizing long time series.
Data Min. Knowl. Discov.
Shima Imani, Frank Madrid, Wei Ding, Scott E. Crouter, Eamonn J. Keogh
2020 J jnl
Mitigating Class Boundary Label Uncertainty to Reduce Both Model Bias and Variance.
CoRR
Matthew Almeida, Wei Ding, Scott E. Crouter, Ping Chen
2020 J jnl
Multi-Source Causal Feature Selection.
IEEE Trans. Pattern Anal. Mach. Intell.
Kui Yu, Lin Liu, Jiuyong Li, Wei Ding, Thuc Duy Le
2020 J jnl
SummerTime: Variable-length Time SeriesSummarization with Applications to PhysicalActivity Analysis.
CoRR
Kevin Michael Amaral, Zihan Li, Wei Ding, Scott E. Crouter, Ping Chen
2019 J jnl
BAMB: A Balanced Markov Blanket Discovery Approach to Feature Selection.
ACM Trans. Intell. Syst. Technol.
Zhaolong Ling, Kui Yu, Hao Wang, Lin Liu, Wei Ding, Xindong Wu
2019 J jnl
Correction to: Domain agnostic online semantic segmentation for multi-dimensional time series.
Data Min. Knowl. Discov.
Shaghayegh Gharghabi, Chin-Chia Michael Yeh, Yifei Ding, Wei Ding, Paul Hibbing, Samuel LaMunion, Andrew Kaplan, Scott E. Crouter, Eamonn J. Keogh
2019 J jnl
Domain agnostic online semantic segmentation for multi-dimensional time series.
Data Min. Knowl. Discov.
Shaghayegh Gharghabi, Chin-Chia Michael Yeh, Yifei Ding, Wei Ding, Paul Hibbing, Samuel LaMunion, Andrew Kaplan, Scott E. Crouter, Eamonn J. Keogh
2019 J jnl
Heterogeneous-Length Text Topic Modeling for Reader-Aware Multi-Document Summarization.
ACM Trans. Knowl. Discov. Data
Jipeng Qiang, Ping Chen, Wei Ding, Tong Wang, Fei Xie, Xindong Wu
2019 J jnl
His-GAN: A histogram-based GAN model to improve data generation quality.
Neural Networks
Wei Li, Wei Ding, Rajani S. Sadasivam, Xiaohui Cui, Ping Chen
2018 A* conf
A Semantic QA-Based Approach for Text Summarization Evaluation.
AAAI
Ping Chen, Fei Wu, Tong Wang, Wei Ding
2018 A* conf
Clustering on Sparse Data in Non-overlapping Feature Space with Applications to Cancer Subtyping.
ICDM
Tianyu Kang, Kourosh Zarringhalam, Marieke L. Kuijjer, Ping Chen, John Quackenbush, Wei Ding
2018 — conf
Galaxy: Towards Scalable and Interpretable Explanation on High-Dimensional and Spatio-Temporal Correlated Climate Data.
ICBK
Yong Zhuang, David L. Small, Xin Shu, Kui Yu, Shafiqul Islam, Wei Ding
2018 — conf
Matrix Profile XIII: Time Series Snippets: A New Primitive for Time Series Data Mining.
ICBK
Shima Imani, Frank Madrid, Wei Ding, Scott E. Crouter, Eamonn J. Keogh
2018 — conf
TL-PC: An Interpretable Causal Relationship Networks on Older Adults Fall Influence Factors.
ICBK
Zihan Li, Wei Ding, Kui Yu, Suzanne G. Leveille, Pin Chen
2017 J jnl
A biological network-based regularized artificial neural network model for robust phenotype prediction from gene expression data.
BMC Bioinform.
Tianyu Kang, Wei Ding, Luoyan Zhang, Daniel Ziemek, Kourosh Zarringhalam
2017 — conf
Crime Hot Spot Forecasting: A Recurrent Model with Spatial and Temporal Information.
ICBK
Yong Zhuang, Matthew Almeida, Melissa Morabito, Wei Ding
2017 J jnl
Learning weighted distance metric from group level information and its parallel implementation.
Appl. Intell.
Hamidreza Mohebbi, Yang Mu, Wei Ding
2017 J jnl
Markov Blanket Feature Selection Using Representative Sets.
IEEE Trans. Neural Networks Learn. Syst.
Kui Yu, Xindong Wu, Wei Ding, Yang Mu, Hao Wang
2017 J jnl
Network-based Distance Metric with Application to Discover Disease Subtypes in Cancer.
CoRR
Jipeng Qiang, Wei Ding, John Quackenbush, Ping Chen
2016 — conf
A Comprehensive Literature Review on Big Data in Healthcare.
AMCIS
Jingwei Li, Wei Ding, Hsing Cheng, Ping Chen, Dehai Di, Wei Huang
2016 J jnl
Activity recognition and intensity estimation in youth from accelerometer data aided by machine learning.
Appl. Intell.
Xiang Ren, Wei Ding, Scott E. Crouter, Yang Mu, Rong Xie
2016 — conf
An evaluation of big data analytics in feature selection for long-lead extreme floods forecasting.
ICNSC
Yong Zhuang, Kui Yu, Dawei Wang, Wei Ding
2016 J jnl
Crater Detection via Convolutional Neural Networks.
CoRR
Joseph Paul Cohen, Henry Z. Lo, Tingting Lu, Wei Ding
2016 J jnl
Hierarchical Spatio-Temporal Pattern Discovery and Predictive Modeling.
IEEE Trans. Knowl. Data Eng.
Chung-Hsien Yu, Wei Ding, Melissa Morabito, Ping Chen
2016 J jnl
LOFS: A library of online streaming feature selection.
Knowl. Based Syst.
Kui Yu, Wei Ding, Xindong Wu
2016 J jnl
LOFS: Library of Online Streaming Feature Selection.
CoRR
Kui Yu, Wei Ding, Xindong Wu
2016 J jnl
Multi-document summarization using closed patterns.
Knowl. Based Syst.
Jipeng Qiang, Ping Chen, Wei Ding, Fei Xie, Xindong Wu
2016 J jnl
Online Learning from Trapezoidal Data Streams.
IEEE Trans. Knowl. Data Eng.
Qin Zhang, Peng Zhang, Guodong Long, Wei Ding, Chengqi Zhang, Xindong Wu
2016 J jnl
RandomOut: Using a convolutional gradient norm to win The Filter Lottery.
CoRR
Joseph Paul Cohen, Henry Z. Lo, Wei Ding
2016 J jnl
Rapid building detection using machine learning.
Appl. Intell.
Joseph Paul Cohen, Wei Ding, Caitlin Kuhlman, Aijun Chen, Liping Di
2016 J jnl
Rapid building detection using machine learning.
CoRR
Joseph Paul Cohen, Wei Ding, Caitlin Kuhlman, Aijun Chen, Liping Di
2016 — conf
Sacrificing Overall Classification Quality to Improve Classification Accuracy of Well-Sought Classes.
ICDM Workshops
Kevin Michael Amaral, Ping Chen, Wei Ding, Rajani S. Sadasivam
2016 J jnl
Scalable and Accurate Online Feature Selection for Big Data.
ACM Trans. Knowl. Discov. Data
Kui Yu, Xindong Wu, Wei Ding, Jian Pei
2016 J jnl
Scale Normalization.
CoRR
Henry Z. Lo, Kevin Amaral, Wei Ding
2016 B conf
Topic Discovery from Heterogeneous Texts.
ICTAI
Jipeng Qiang, Ping Chen, Wei Ding, Tong Wang, Fei Xie, Xindong Wu
2015 C conf
A Friend Recommendation System Using Users' Information of Total Attributes.
ICDS
Zhou Zhang, Yuewen Liu, Wei Ding, Wayne Wei Huang
2015 A* conf
A Hierarchical Pattern Learning Framework for Forecasting Extreme Weather Events.
ICDM
Dawei Wang, Wei Ding
2015 J jnl
Classification with Streaming Features: An Emerging-Pattern Mining Approach.
ACM Trans. Knowl. Discov. Data
Kui Yu, Wei Ding, Dan A. Simovici, Hao Wang, Jian Pei, Xindong Wu
2015 — conf
Developing machine learning tools for long-lead heavy precipitation prediction with multi-sensor data.
ICNSC
Yahui Di, Wei Ding, Yang Mu, David L. Small, Shafiqul Islam, Ni-Bin Chang
2015 — conf
Monitoring Sleep and Detecting Irregular Nights through Unconstrained Smartphone Sensing.
UIC/ATC/ScalCom
Ke Huang, Xiang Ding, Jing Xu, Guanling Chen, Wei Ding
2015 A conf
One-Day Activities for K-12 Face-to-Face Outreach.
SIGCSE
Daniel D. Garcia, Wei Ding, Joseph Paul Cohen, Barbara Ericson, Jeff Gray, Dale Reed
2015 B conf
Prediction gradients for feature extraction and analysis from convolutional neural networks.
FG
Henry Z. Lo, Joseph Paul Cohen, Wei Ding
2015 J jnl
Proposing a new friend recommendation method, FRUTAI, to enhance social media providers' performance.
Decis. Support Syst.
Zhou Zhang, Yuewen Liu, Wei Ding, Wayne Wei Huang, Qin Su, Ping Chen
2015 J jnl
Scalable and Accurate Online Feature Selection for Big Data.
CoRR
Kui Yu, Xindong Wu, Wei Ding, Jian Pei
2015 J jnl
Semi-Supervised Web Wrapper Repair via Recursive Tree Matching.
CoRR
Joseph Paul Cohen, Wei Ding, Abraham Bagherjeiran
2015 — conf
Spatio-temporal asynchronous co-occurrence pattern for big climate data towards long-lead flood prediction.
IEEE BigData
Chung-Hsien Yu, Dong Luo, Wei Ding, Joseph Paul Cohen, David L. Small, Shafiqul Islam
2015 J jnl
The cost of reading research. A study of Computer Science publication venues.
CoRR
Joseph Paul Cohen, Carla Aravena, Wei Ding
2015 A* conf
Tornado Forecasting with Multiple Markov Boundaries.
KDD
Kui Yu, Dawei Wang, Wei Ding, Jian Pei, David L. Small, Shafiqul Islam, Xindong Wu
2015 A* conf
Towards Mining Trapezoidal Data Streams.
ICDM
Qin Zhang, Peng Zhang, Guodong Long, Wei Ding, Chengqi Zhang, Xindong Wu
2015 — conf
Understanding Deep Networks with Gradients.
ICDM Workshops
Henry Z. Lo, Wei Ding
2014 J jnl
Authorship identification from unstructured texts.
Knowl. Based Syst.
Chunxia Zhang, Xindong Wu, Zhendong Niu, Wei Ding
2014 J jnl
Bipart: Learning Block Structurefor Activity Detection.
IEEE Trans. Knowl. Data Eng.
Yang Mu, Henry Z. Lo, Wei Ding, Kevin Amaral, Scott E. Crouter
2014 — conf
Crime Forecasting Using Spatio-temporal Pattern with Ensemble Learning.
PAKDD (2)
Chung-Hsien Yu, Wei Ding, Ping Chen, Melissa Morabito
2014 J jnl
Data Mining with Big Data.
IEEE Trans. Knowl. Data Eng.
Xindong Wu, Xingquan Zhu, Gong-Qing Wu, Wei Ding
2014 A* conf
Face Recognition from Multiple Images per Subject.
ACM Multimedia
Yang Mu, Henry Z. Lo, Wei Ding, Dacheng Tao
2014 J jnl
Mining sequential patterns with periodic wildcard gaps.
Appl. Intell.
Youxi Wu, Lingling Wang, Jiadong Ren, Wei Ding, Xindong Wu
2014 J jnl
Temporality and Context for detecting adverse drug reactions from longitudinal data.
Appl. Intell.
Henry Z. Lo, Wei Ding, Zohreh Nazeri
2014 A* conf
Towards Scalable and Accurate Online Feature Selection for Big Data.
ICDM
Kui Yu, Xindong Wu, Wei Ding, Jian Pei
2014 — conf
Using GPU Shared Memory with a Directive-Based Approach.
IPDPS Workshops
Wei Ding, Ligang Lu, Mauricio Araya-Polo, Amik St.-Cyr, Detlef Hohl, Barbara M. Chapman
2013 — ed.
13th IEEE International Conference on Data Mining Workshops, ICDM Workshops, TX, USA, December 7-10, 2013
ICDM Workshops
Wei Ding, Takashi Washio, Hui Xiong, George Karypis, Bhavani Thuraisingham, Diane J. Cook, Xindong Wu
2013 J jnl
Bridging Causal Relevance and Pattern Discriminability: Mining Emerging Patterns from High-Dimensional Data.
IEEE Trans. Knowl. Data Eng.
Kui Yu, Wei Ding, Hao Wang, Xindong Wu
2013 A* conf
Constrained stochastic gradient descent for large-scale least squares problem.
KDD
Yang Mu, Wei Ding, Tianyi Zhou, Dacheng Tao
2013 J jnl
Crime hotspot mapping using the crime related factors - a spatial data mining approach.
Appl. Intell.
Dawei Wang, Wei Ding, Henry Z. Lo, Tomasz F. Stepinski, Josue Salazar, Melissa Morabito
2013 C conf
Detecting stepping-stones under the influence of packet jittering.
IAS
Wei Ding, Khoa Le, Shou-Hsuan Stephen Huang
2013 A conf
Feature Selection by Joint Graph Sparse Coding.
SDM
Wei Ding, Xindong Wu, Shichao Zhang, Xiaofeng Zhu
2013 — ch.
Geospatial Contrast Mining with Applications on Labeled Spatial Data.
Contrast Data Mining
Wei Ding, Tomasz F. Stepinski, Josue Salazar
2013 A* conf
Group Feature Selection with Streaming Features.
ICDM
Hai-Guang Li, Xindong Wu, Zhao Li, Wei Ding
2013 J jnl
KLONOS: Similarity-based planning tool support for porting scientific applications.
Concurr. Comput. Pract. Exp.
Wei Ding, Chung-Hsing Hsu, Oscar R. Hernandez, Barbara M. Chapman, Richard L. Graham
2013 — conf
Local Discriminative Distance Metrics and their Real World Applications.
ICDM Workshops
Yang Mu, Wei Ding
2013 J jnl
Local discriminative distance metrics ensemble learning.
Pattern Recognit.
Yang Mu, Wei Ding, Dacheng Tao
2013 A* conf
Markov Blanket Feature Selection with Non-faithful Data Distributions.
ICDM
Kui Yu, Xindong Wu, Zan Zhang, Yang Mu, Hao Wang, Wei Ding
2013 — conf
Mining Adverse Drug Reactions from Electronic Health Records.
ICDM Workshops
Henry Z. Lo, Wei Ding, Zohreh Nazeri
2013 J jnl
Online Feature Selection with Streaming Features.
IEEE Trans. Pattern Anal. Mach. Intell.
Xindong Wu, Kui Yu, Wei Ding, Hao Wang, Xingquan Zhu
2013 A* conf
Online Group Feature Selection from Feature Streams.
AAAI
Hai-Guang Li, Xindong Wu, Zhao Li, Wei Ding
2013 J jnl
Pnfs: Personalized Web News Filtering and Summarization.
Int. J. Artif. Intell. Tools
Xindong Wu, Fei Xie, Gong-Qing Wu, Wei Ding
2013 — conf
Porting Applications with OpenMP Using Similarity Analysis.
LCPC
Wei Ding, Oscar R. Hernandez, Tony Curtis, Barbara M. Chapman
2013 A* conf
Towards long-lead forecasting of extreme flood events: a data mining framework for precipitation cluster precursors identification.
KDD
Dawei Wang, Wei Ding, Kui Yu, Xindong Wu, Ping Chen, David L. Small, Shafiqul Islam
2013 J jnl
Understanding the spatial distribution of crime based on its related variables using geospatial discriminative patterns.
Comput. Environ. Urban Syst.
Dawei Wang, Wei Ding, Henry Z. Lo, Melissa Morabito, Ping Chen, Josue Salazar, Tomasz F. Stepinski
2012 — conf
A Similarity-Based Analysis Tool for Porting OpenMP Applications.
Facing the Multicore-Challenge
Wei Ding, Oscar R. Hernandez, Barbara M. Chapman
2012 J jnl
Adaptive Selective Learning for automatic identification of sub-kilometer craters.
Neurocomputing
Siyi Liu, Wei Ding, Feng Gao, Tomasz F. Stepinski
2012 C ed.
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
IEA/AIE
He Jiang, Wei Ding, Moonis Ali, Xindong Wu
2012 A* conf
Coupled behavior analysis for capturing coupling relationships in group-based market manipulations.
KDD
Yin Song, Longbing Cao, Xindong Wu, Gang Wei, Wu Ye, Wei Ding
2012 C conf
Cyber-Physical Integration to Connect Vehicles for Transformed Transportation Safety and Efficiency.
IEA/AIE
Daiheng Ni, Hong Liu, Wei Ding, Yuanchang Xie, Honggang Wang, Hossein Pishro-Nik, Qian Yu
2012 J jnl
Exploring Causal Relationships with Streaming Features.
Comput. J.
Kui Yu, Xindong Wu, Wei Ding, Hao Wang
2012 A* conf
Mining emerging patterns by streaming feature selection.
KDD
Kui Yu, Wei Ding, Dan A. Simovici, Xindong Wu
2012 — book
Modern Advances in Intelligent Systems and Tools
Modern Advances in Intelligent Systems and Tools
Wei Ding, He Jiang, Moonis Ali, Mingchu Li
2012 C conf
Optimization of Criminal HotSpots Based on Underlying Crime Controlling Factors Using Geospatial Discriminative Pattern.
IEA/AIE
Dawei Wang, Wei Ding, Tomasz F. Stepinski, Josue Salazar, Henry Z. Lo, Melissa Morabito
2012 A* conf
Self-Taught Active Learning from Crowds.
ICDM
Meng Fang, Xingquan Zhu, Bin Li, Wei Ding, Xindong Wu
2012 C conf
Several Remarks on Mining Frequent Trajectories in Graphs.
IEA/AIE
Henry Z. Lo, Dan A. Simovici, Wei Ding
2012 J jnl
Word Sense Disambiguation with Automatically Acquired Knowledge.
IEEE Intell. Syst.
Ping Chen, Chris Bowes, Wei Ding, Max Choly
2011 J jnl
A framework for regional association rule mining and scoping in spatial datasets.
GeoInformatica
Wei Ding, Christoph F. Eick, Xiaojing Yuan, Jing Wang, Jean-Philippe Nicot
2011 J jnl
Adaptive Study Design Through Semantic Association Rule Analysis.
Int. J. Softw. Sci. Comput. Intell.
Ping Chen, Wei Ding, Walter Garcia
2011 — conf
Bernoulli trials based feature selection for crater detection.
GIS
Siyi Liu, Wei Ding, Joseph Paul Cohen, Dan A. Simovici, Tomasz F. Stepinski
2011 B conf
Biologically inspired model for crater detection.
IJCNN
Yang Mu, Wei Ding, Dacheng Tao, Tomasz F. Stepinski
2011 A* conf
Causal Associative Classification.
ICDM
Kui Yu, Xindong Wu, Wei Ding, Hao Wang, Hongliang Yao
2011 J jnl
Controlling patterns of geospatial phenomena.
GeoInformatica
Tomasz F. Stepinski, Wei Ding, Christoph F. Eick
2011 — conf
Crime Forecasting Using Data Mining Techniques.
ICDM Workshops
Chung-Hsien Yu, Max W. Ward, Melissa Morabito, Wei Ding
2011 B conf
Detecting Intruders Using a Long Connection Chain to Connect to a Host.
AINA
Wei Ding, Shou-Hsuan Stephen Huang
2011 C conf
Empirical Discriminative Tensor Analysis for Crime Forecasting.
KSEM
Yang Mu, Wei Ding, Melissa Morabito, Dacheng Tao
2011 J jnl
Entropy Quad-Trees for High Complexity Regions Detection.
Int. J. Softw. Sci. Comput. Intell.
Rosanne Vetro, Dan A. Simovici, Wei Ding
2011 — conf
Experiences with High-Level Programming Directives for Porting Applications to GPUs.
Facing the Multicore-Challenge
Oscar R. Hernandez, Wei Ding, Barbara M. Chapman, Christos Kartsaklis, Ramanan Sankaran, Richard L. Graham
2011 — conf
Feasibility study for automatic calibration of transportation simulation models.
SpringSim (ANSS)
Hong Liu, Qian Yu, Wei Ding, Daiheng Ni, Honggang Wang, Stephen Shannon
2011 — conf
Genetically Enhanced Feature Selection of Discriminative Planetary Crater Image Features.
Australasian Conference on Artificial Intelligence
Joseph Paul Cohen, Siyi Liu, Wei Ding
2011 J jnl
One-class learning and concept summarization for data streams.
Knowl. Inf. Syst.
Xingquan Zhu, Wei Ding, Philip S. Yu, Chengqi Zhang
2011 B conf
Personalized News Filtering and Summarization on the Web.
ICTAI
Xindong Wu, Fei Xie, Gong-Qing Wu, Wei Ding
2011 C conf
Semi-supervised based active class selection for automatic identification of sub-kilometer craters.
ISPA
Siyi Liu, Wei Ding, Tomasz F. Stepinski
2011 J jnl
Subkilometer crater discovery with boosting and transfer learning.
ACM Trans. Intell. Syst. Technol.
Wei Ding, Tomasz F. Stepinski, Yang Mu, Lourenço P. C. Bandeira, Ricardo Vilalta, Youxi Wu, Zhenyu Lu, Tianyu Cao, Xindong Wu
2010 A conf
Automatic detection of craters in planetary images: an embedded framework using feature selection and boosting.
CIKM
Wei Ding, Tomasz F. Stepinski, Lourenço P. C. Bandeira, Ricardo Vilalta, Youxi Wu, Zhenyu Lu, Tianyu Cao
2010 A* conf
Causal Discovery from Streaming Features.
ICDM
Kui Yu, Xindong Wu, Hao Wang, Wei Ding
2010 — conf
Discovering spatio-social motifs of electoral support using discriminative pattern mining.
COM.Geo
Tomasz F. Stepinski, Josue Salazar, Wei Ding
2010 B conf
ESTATE: Strategy for Exploring Labeled Spatial Datasets Using Association Analysis.
Discovery Science
Tomasz F. Stepinski, Josue Salazar, Wei Ding, Denis White
2010 — conf
Effective classification for crater detection: A case study on Mars.
IEEE ICCI
Jue Wang, Wei Ding, Barry Fradkin, Cuong H. Pham, Peter Sherman, Binh D. Tran, Dawei Wang, Yun Yang, Tomasz F. Stepinski
2010 — conf
Exploring labeled spatial datasets using association analysis.
GIS
Tomasz F. Stepinski, Josue Salazar, Wei Ding
2010 — conf
Mining for high complexity regions using entropy and box counting dimension quad-trees.
IEEE ICCI
Rosanne Vetro, Wei Ding, Dan A. Simovici
2010 A* conf
Online Streaming Feature Selection.
ICML
Xindong Wu, Kui Yu, Hao Wang, Wei Ding
2010 — conf
TreeMatch: A Fully Unsupervised WSD System Using Dependency Knowledge on a Specific Domain.
SemEval@ACL
Andrew Tran, Chris Bowes, David Brown, Ping Chen, Max Choly, Wei Ding
2010 B conf
Using Dynamic Programming Techniques to Detect Multi-hop Stepping-Stone Pairs in a Connection Chain.
AINA
Ying-Wei Kuo, Shou-Hsuan Stephen Huang, Wei Ding, Rebecca Kern, Jianhua Yang
2009 — conf
A Fully Unsupervised Word Sense Disambiguation Method Using Dependency Knowledge.
HLT-NAACL
Ping Chen, Wei Ding, Chris Bowes, David Brown
2009 J jnl
A Lexical Knowledge Representation Model for Natural Language Understanding.
Int. J. Softw. Sci. Comput. Intell.
Ping Chen, Wei Ding, Chengmin Ding
2009 C conf
Detecting Stepping-Stone Intruders with Long Connection Chains.
IAS
Wei Ding, Matthew J. Hausknecht, Shou-Hsuan Stephen Huang, Zach Riggle
2009 A conf
Discovery of Geospatial Discriminating Patterns from Remote Sensing Datasets.
SDM
Wei Ding, Tomasz F. Stepinski, Josue Salazar
2009 J jnl
Discovery of feature-based hot spots using supervised clustering.
Comput. Geosci.
Wei Ding, Tomasz F. Stepinski, Rachana Parmar, Dan Jiang, Christoph F. Eick
2009 B conf
Large-Scale Dependency Knowledge Acquisition and its Extrinsic Evaluation Through Word Sense Disambiguation.
ICTAI
Ping Chen, Wei Ding, Chris Bowes, David Brown
2009 Misc conf
Word Classification: An Experimental Approach with Naïve Bayes.
CATA
Wei Ding, Hisham Al-Mubaid, Srikanth Kotagiri
2008 — conf
Discovering controlling factors of geospatial variables.
GIS
Tomasz F. Stepinski, Wei Ding, Christoph F. Eick
2008 — conf
Finding regional co-location patterns for sets of continuous variables in spatial datasets.
GIS
Christoph F. Eick, Rachana Parmar, Wei Ding, Tomasz F. Stepinski, Jean-Philippe Nicot
2008 — conf
Parsing Tree Matching Based Question Answering.
TAC
Ping Chen, Timothy Simmons, Carlos Lacayo, Wei Ding
2008 B conf
Towards Region Discovery in Spatial Datasets.
PAKDD
Wei Ding, Rachsuda Jiamthapthaksin, Rachana Parmar, Dan Jiang, Tomasz F. Stepinski, Christoph F. Eick
2007 — conf
On Regional Association Rule Scoping.
ICDM Workshops
Wei Ding, Christoph F. Eick, Xiaojing Yuan, Jing Wang, Jean-Philippe Nicot
2006 A* conf
A Framework for Regional Association Rule Mining in Spatial Datasets.
ICDM
Wei Ding, Christoph F. Eick, Jing Wang, Xiaojing Yuan
2006 — conf
SenseNet: A Knowledge Representation Model for Computational Semantics.
IEEE ICCI
Ping Chen, Wei Ding, Chengmin Ding
2005 A conf
Using a pre-assessment exam to construct an effective concept-based genetic program for predicting course success.
SIGCSE
Gary D. Boetticher, Wei Ding, Charles R. Moen, Kwok-Bun Yue
2005 — conf
Web-Based Interactive Visualization of Data Cubes.
MSV
Xusheng Wang, Ping Chen, Wei Ding
2004 B conf
Design and evolution of an undergraduate course on web application development.
ITiCSE
Kwok-Bun Yue, Wei Ding
2004 J jnl
Open courseware and computer science education.
J. Comput. Sci. Coll.
Kwok-Bun Yue, T. Andrew Yang, Wei Ding, Ping Chen
2003 A* conf
Icon-based Visualization of Large High-Dimensional Datasets.
ICDM
Ping Chen, Chenyi Hu, Wei Ding, Heloise Lynn, Yves Simon
2001 B conf
Using a Model Checker to Test Safety Properties.
ICECCS
Paul Ammann, Wei Ding, Daling Xu
2000 B conf
Evaluation of Three Specification-Based Testing Criteria.
ICECCS
Aynur Abdurazik, Paul Ammann, Wei Ding, A. Jefferson Offutt