Wei Ding

ORCID

Publication Activity (10 Years)

Years Active: 2000-2024
Publications (10 Years): 50

Top Venues

CoRR

ACM Trans. Knowl. Discov. Data

Appl. Intell.

ICDM

Publications

Tianyu Kang, Wei Ding, Ping Chen
CRESPR: Modular sparsification of DNNs to improve pruning performance and model interpretability. Neural Networks 172 (2024)
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) (2024)
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)
Wenbin An, Feng Tian, Qinghua Zheng, Wei Ding, Qianying Wang, Ping Chen
Generalized Category Discovery with Decoupled Prototypical Network. AAAI (2023)
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) (2023)
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) (2023)
Kui Yu, Yajing Yang, Wei Ding
Causal Feature Selection with Missing Data. ACM Trans. Knowl. Discov. Data 16 (4) (2022)
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) (2022)
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) (2022)
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 (2022)
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)
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) (2021)
Kui Yu, Lin Liu, Jiuyong Li, Wei Ding, Thuc Duy Le
Multi-Source Causal Feature Selection. IEEE Trans. Pattern Anal. Mach. Intell. 42 (9) (2020)
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 (2020)
Olga Andreeva, Wei Li, Wei Ding, Marieke L. Kuijjer, John Quackenbush, Ping Chen
Catalysis Clustering with GAN by Incorporating Domain Knowledge. KDD (2020)
Matthew Almeida, Wei Ding, Scott E. Crouter, Ping Chen
Mitigating Class Boundary Label Uncertainty to Reduce Both Model Bias and Variance. CoRR (2020)
Kevin Michael Amaral, Zihan Li, Wei Ding, Scott E. Crouter, Ping Chen
SummerTime: Variable-length Time SeriesSummarization with Applications to PhysicalActivity Analysis. CoRR (2020)
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) (2020)
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)
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 (2019)
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) (2019)
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) (2019)
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) (2019)
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) (2019)
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)
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)
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)
Ping Chen, Fei Wu, Tong Wang, Wei Ding
A Semantic QA-Based Approach for Text Summarization Evaluation. AAAI (2018)
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)
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) (2017)
Yong Zhuang, Matthew Almeida, Melissa Morabito, Wei Ding
Crime Hot Spot Forecasting: A Recurrent Model with Spatial and Temporal Information. ICBK (2017)
Hamidreza Mohebbi, Yang Mu, Wei Ding
Learning weighted distance metric from group level information and its parallel implementation. Appl. Intell. 46 (1) (2017)
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) (2017)
Jipeng Qiang, Wei Ding, John Quackenbush, Ping Chen
Network-based Distance Metric with Application to Discover Disease Subtypes in Cancer. CoRR (2017)
Kui Yu, Wei Ding, Xindong Wu
LOFS: A library of online streaming feature selection. Knowl. Based Syst. 113 (2016)
Jingwei Li, Wei Ding, Hsing Cheng, Ping Chen, Dehai Di, Wei Huang
A Comprehensive Literature Review on Big Data in Healthcare. AMCIS (2016)
Jipeng Qiang, Ping Chen, Wei Ding, Fei Xie, Xindong Wu
Multi-document summarization using closed patterns. Knowl. Based Syst. 99 (2016)
Joseph Paul Cohen, Henry Z. Lo, Wei Ding
RandomOut: Using a convolutional gradient norm to win The Filter Lottery. CoRR (2016)
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)
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) (2016)
Henry Z. Lo, Kevin Amaral, Wei Ding
Scale Normalization. CoRR (2016)
Kui Yu, Xindong Wu, Wei Ding, Jian Pei
Scalable and Accurate Online Feature Selection for Big Data. ACM Trans. Knowl. Discov. Data 11 (2) (2016)
Jipeng Qiang, Ping Chen, Wei Ding, Tong Wang, Fei Xie, Xindong Wu
Topic Discovery from Heterogeneous Texts. ICTAI (2016)
Chung-Hsien Yu, Wei Ding, Melissa Morabito, Ping Chen
Hierarchical Spatio-Temporal Pattern Discovery and Predictive Modeling. IEEE Trans. Knowl. Data Eng. 28 (4) (2016)
Joseph Paul Cohen, Wei Ding, Caitlin Kuhlman, Aijun Chen, Liping Di
Rapid building detection using machine learning. CoRR (2016)
Joseph Paul Cohen, Wei Ding, Caitlin Kuhlman, Aijun Chen, Liping Di
Rapid building detection using machine learning. Appl. Intell. 45 (2) (2016)
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)
Joseph Paul Cohen, Henry Z. Lo, Tingting Lu, Wei Ding
Crater Detection via Convolutional Neural Networks. CoRR (2016)
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) (2016)
Kui Yu, Wei Ding, Xindong Wu
LOFS: Library of Online Streaming Feature Selection. CoRR (2016)
Henry Z. Lo, Joseph Paul Cohen, Wei Ding
Prediction gradients for feature extraction and analysis from convolutional neural networks. FG (2015)
Henry Z. Lo, Wei Ding
Understanding Deep Networks with Gradients. ICDM Workshops (2015)
Kui Yu, Dawei Wang, Wei Ding, Jian Pei, David L. Small, Shafiqul Islam, Xindong Wu
Tornado Forecasting with Multiple Markov Boundaries. KDD (2015)
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)
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 (2015)
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) (2015)
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)
Joseph Paul Cohen, Wei Ding, Abraham Bagherjeiran
Semi-Supervised Web Wrapper Repair via Recursive Tree Matching. CoRR (2015)
Qin Zhang, Peng Zhang, Guodong Long, Wei Ding, Chengqi Zhang, Xindong Wu
Towards Mining Trapezoidal Data Streams. ICDM (2015)
Zhou Zhang, Yuewen Liu, Wei Ding, Wayne Wei Huang
A Friend Recommendation System Using Users' Information of Total Attributes. ICDS (2015)
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)
Kui Yu, Xindong Wu, Wei Ding, Jian Pei
Scalable and Accurate Online Feature Selection for Big Data. CoRR (2015)
Joseph Paul Cohen, Carla Aravena, Wei Ding
The cost of reading research. A study of Computer Science publication venues. CoRR (2015)
Dawei Wang, Wei Ding
A Hierarchical Pattern Learning Framework for Forecasting Extreme Weather Events. ICDM (2015)
Xindong Wu, Xingquan Zhu, Gong-Qing Wu, Wei Ding
Data Mining with Big Data. IEEE Trans. Knowl. Data Eng. 26 (1) (2014)
Youxi Wu, Lingling Wang, Jiadong Ren, Wei Ding, Xindong Wu
Mining sequential patterns with periodic wildcard gaps. Appl. Intell. 41 (1) (2014)
Chunxia Zhang, Xindong Wu, Zhendong Niu, Wei Ding
Authorship identification from unstructured texts. Knowl. Based Syst. 66 (2014)
Yang Mu, Henry Z. Lo, Wei Ding, Dacheng Tao
Face Recognition from Multiple Images per Subject. ACM Multimedia (2014)
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) (2014)
Kui Yu, Xindong Wu, Wei Ding, Jian Pei
Towards Scalable and Accurate Online Feature Selection for Big Data. ICDM (2014)
Henry Z. Lo, Wei Ding, Zohreh Nazeri
Temporality and Context for detecting adverse drug reactions from longitudinal data. Appl. Intell. 41 (4) (2014)
Chung-Hsien Yu, Wei Ding, Ping Chen, Melissa Morabito
Crime Forecasting Using Spatio-temporal Pattern with Ensemble Learning. PAKDD (2) (2014)
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 (2013)
Henry Z. Lo, Wei Ding, Zohreh Nazeri
Mining Adverse Drug Reactions from Electronic Health Records. ICDM Workshops (2013)
Hai-Guang Li, Xindong Wu, Zhao Li, Wei Ding
Online Group Feature Selection from Feature Streams. AAAI (2013)
Yang Mu, Wei Ding
Local Discriminative Distance Metrics and their Real World Applications. ICDM Workshops (2013)
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) (2013)
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) (2013)
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)
Xindong Wu, Kui Yu, Wei Ding, Hao Wang, Xingquan Zhu
Online Feature Selection with Streaming Features. IEEE Trans. Pattern Anal. Mach. Intell. 35 (5) (2013)
Yang Mu, Wei Ding, Tianyi Zhou, Dacheng Tao
Constrained stochastic gradient descent for large-scale least squares problem. KDD (2013)
Xindong Wu, Fei Xie, Gong-Qing Wu, Wei Ding
Pnfs: Personalized Web News Filtering and Summarization. Int. J. Artif. Intell. Tools 22 (5) (2013)
Yang Mu, Wei Ding, Dacheng Tao
Local discriminative distance metrics ensemble learning. Pattern Recognit. 46 (8) (2013)
Hai-Guang Li, Xindong Wu, Zhao Li, Wei Ding
Group Feature Selection with Streaming Features. ICDM (2013)
Wei Ding, Xindong Wu, Shichao Zhang, Xiaofeng Zhu
Feature Selection by Joint Graph Sparse Coding. SDM (2013)
Kui Yu, Xindong Wu, Zan Zhang, Yang Mu, Hao Wang, Wei Ding
Markov Blanket Feature Selection with Non-faithful Data Distributions. ICDM (2013)
Meng Fang, Xingquan Zhu, Bin Li, Wei Ding, Xindong Wu
Self-Taught Active Learning from Crowds. ICDM (2012)
Henry Z. Lo, Dan A. Simovici, Wei Ding
Several Remarks on Mining Frequent Trajectories in Graphs. IEA/AIE (2012)
Siyi Liu, Wei Ding, Feng Gao, Tomasz F. Stepinski
Adaptive Selective Learning for automatic identification of sub-kilometer craters. Neurocomputing 92 (2012)
Kui Yu, Xindong Wu, Wei Ding, Hao Wang
Exploring Causal Relationships with Streaming Features. Comput. J. 55 (9) (2012)
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)
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)
Kui Yu, Wei Ding, Dan A. Simovici, Xindong Wu
Mining emerging patterns by streaming feature selection. KDD (2012)
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)
Ping Chen, Chris Bowes, Wei Ding, Max Choly
Word Sense Disambiguation with Automatically Acquired Knowledge. IEEE Intell. Syst. 27 (4) (2012)
Chung-Hsien Yu, Max W. Ward, Melissa Morabito, Wei Ding
Crime Forecasting Using Data Mining Techniques. ICDM Workshops (2011)
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) (2011)
Kui Yu, Xindong Wu, Wei Ding, Hao Wang, Hongliang Yao
Causal Associative Classification. ICDM (2011)
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) (2011)
Joseph Paul Cohen, Siyi Liu, Wei Ding
Genetically Enhanced Feature Selection of Discriminative Planetary Crater Image Features. Australasian Conference on Artificial Intelligence (2011)

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Publication Activity (10 Years)

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Wei Ding