Pang-Ning Tan

ORCID

Publication Activity (10 Years)

Years Active: 1999-2024
Publications (10 Years): 54

Top Venues

Publications

Yue Deng, Asadullah Hill Galib, Pang-Ning Tan, Lifeng Luo
Unraveling Block Maxima Forecasting Models with Counterfactual Explanation. KDD (2024)
Barikisu Issaka, Young Anna Argyris, Pang-Ning Tan
Conversational Agents as an Aid for Cancer Survivors' Information Search. HICSS (2024)
Anna Stephens, Francisco Santos, Pang-Ning Tan, Abdol-Hossein Esfahanian
Population Graph Cross-Network Node Classification for Autism Detection Across Sample Groups. CoRR (2024)
Asadullah Hill Galib, Pang-Ning Tan, Lifeng Luo
SimEXT: Self-supervised Representation Learning for Extreme Values in Time Series. ICDM (2023)
Anna Stephens, Francisco Santos, Pang-Ning Tan, Abdol-Hossein Esfahanian
Population Graph Cross-Network Node Classification for Autism Detection Across Sample Groups. ICDM (Workshops) (2023)
Asadullah Hill Galib, Andrew McDonald, Pang-Ning Tan, Lifeng Luo
Self-Recover: Forecasting Block Maxima in Time Series from Predictors with Disparate Temporal Coverage Using Self-Supervised Learning. IJCAI (2023)
Francisco Santos, Anna Stephens, Pang-Ning Tan, Abdol-Hossein Esfahanian
Influence Propagation for Linear Threshold Model with Graph Neural Networks. ICDM (Workshops) (2023)
Tyler Wilson, Pang-Ning Tan, Lifeng Luo
DeepGPD: A Deep Learning Approach for Modeling Geospatio-Temporal Extreme Events. AAAI (2022)
Tyler Wilson, Andrew McDonald, Asadullah Hill Galib, Pang-Ning Tan, Lifeng Luo
Beyond Point Prediction: Capturing Zero-Inflated & Heavy-Tailed Spatiotemporal Data with Deep Extreme Mixture Models. KDD (2022)
Young Anna Argyris, Nan Zhang, Bidhan Bashyal, Pang-Ning Tan
Using Deep Learning to Identify Linguistic Features that Facilitate or Inhibit the Propagation of Anti- and Pro-Vaccine Content on Social Media. ICDH (2022)
Boyang Liu, Pang-Ning Tan, Jiayu Zhou
Unsupervised Anomaly Detection by Robust Density Estimation. AAAI (2022)
Asadullah Hill Galib, Andrew McDonald, Tyler Wilson, Lifeng Luo, Pang-Ning Tan
DeepExtrema: A Deep Learning Approach for Forecasting Block Maxima in Time Series Data. CoRR (2022)
Farzan Masrour, Francisco Santos, Pang-Ning Tan, Abdol-Hossein Esfahanian
Fairness-Aware Graph Sampling for Network Analysis. ICDM (2022)
Andrew McDonald, Pang-Ning Tan, Lifeng Luo
COMET Flows: Towards Generative Modeling of Multivariate Extremes and Tail Dependence. IJCAI (2022)
Francisco Santos, Junke Ye, Farzan Masrour, Pang-Ning Tan, Abdol-Hossein Esfahanian
FACS-GCN: Fairness-Aware Cost-Sensitive Boosting of Graph Convolutional Networks. IJCNN (2022)
Asadullah Hill Galib, Andrew McDonald, Tyler Wilson, Lifeng Luo, Pang-Ning Tan
DeepExtrema: A Deep Learning Approach for Forecasting Block Maxima in Time Series Data. IJCAI (2022)
Andrew McDonald, Pang-Ning Tan, Lifeng Luo
COMET Flows: Towards Generative Modeling of Multivariate Extremes and Tail Dependence. CoRR (2022)
Boyang Liu, Mengying Sun, Ding Wang, Pang-Ning Tan, Jiayu Zhou
Learning Deep Neural Networks under Agnostic Corrupted Supervision. CoRR (2021)
Pouyan Hatami Bahman Beiglou, Lifeng Luo, Pang-Ning Tan, Lisi Pei
Automated Analysis of the US Drought Monitor Maps With Machine Learning and Multiple Drought Indicators. Frontiers Big Data 4 (2021)
Boyang Liu, Ding Wang, Kaixiang Lin, Pang-Ning Tan, Jiayu Zhou
RCA: A Deep Collaborative Autoencoder Approach for Anomaly Detection. IJCAI (2021)
Ding Wang, Pang-Ning Tan
JOHAN: A Joint Online Hurricane Trajectory and Intensity Forecasting Framework. KDD (2021)
Boyang Liu, Mengying Sun, Ding Wang, Pang-Ning Tan, Jiayu Zhou
Learning Deep Neural Networks under Agnostic Corrupted Supervision. ICML (2021)
Jianpeng Xu, Jiayu Zhou, Pang-Ning Tan, Xi Liu, Lifeng Luo
Spatio-Temporal Multi-Task Learning via Tensor Decomposition. IEEE Trans. Knowl. Data Eng. 33 (6) (2021)
Farzan Masrour, Pang-Ning Tan, Abdol-Hossein Esfahanian
Fairness Perception from a Network-Centric Perspective. ICDM (2020)
Farzan Masrour, Tyler Wilson, Heng Yan, Pang-Ning Tan, Abdol-Hossein Esfahanian
Bursting the Filter Bubble: Fairness-Aware Network Link Prediction. AAAI (2020)
Tyler Wilson, Pang-Ning Tan, Lifeng Luo
Convolutional Methods for Predictive Modeling of Geospatial Data. SDM (2020)
Ding Wang, Boyang Liu, Pang-Ning Tan, Lifeng Luo
OMuLeT: Online Multi-Lead Time Location Prediction for Hurricane Trajectory Forecasting. AAAI (2020)
Farzan Masrour, Pang-Ning Tan, Abdol-Hossein Esfahanian
Fairness Perception from a Network-Centric Perspective. CoRR (2020)
Xi Liu, Tyler Wilson, Pang-Ning Tan, Lifeng Luo
Hierarchical LSTM Framework for Long-Term Sea Surface Temperature Forecasting. DSAA (2019)
Courtland VanDam, Farzan Masrour, Pang-Ning Tan, Tyler Wilson
You have been CAUTE!: early detection of compromised accounts on social media. ASONAM (2019)
Shuai Yuan, Pang-Ning Tan, Kendra Spence Cheruvelil, Sarah M. Collins, Patricia A. Soranno
Spatially Constrained Spectral Clustering Algorithms for Region Delineation. CoRR (2019)
Qi Wang, Claire Boudreau, Qixing Luo, Pang-Ning Tan, Jiayu Zhou
Deep Multi-view Information Bottleneck. SDM (2019)
Farzan Masrour, Pang-Ning Tan, Abdol-Hossein Esfahanian
OPTANE: an OPtimal transport algorithm for NEtwork alignment. ASONAM (2019)
Boyang Liu, Pang-Ning Tan, Jiayu Zhou
Augmented Multi-Task Learning by Optimal Transport. SDM (2019)
Boyang Liu, Pang-Ning Tan, Jiayu Zhou
Enhancing Predictive Modeling of Nested Spatial Data through Group-Level Feature Disaggregation. KDD (2018)
Jingbo Meng, Wei Peng, Pang-Ning Tan, Wuyu Liu, Ying Cheng, Arram Bae
Diffusion size and structural virality: The effects of message and network features on spreading health information on twitter. Comput. Hum. Behav. 89 (2018)
Tyler Wilson, Pang-Ning Tan, Lifeng Luo
A Low Rank Weighted Graph Convolutional Approach to Weather Prediction. ICDM (2018)
Qi Wang, Pang-Ning Tan, Jiayu Zhou
Imputing Structured Missing Values in Spatial Data with Clustered Adversarial Matrix Factorization. ICDM (2018)
Jianpeng Xu, Xi Liu, Tyler Wilson, Pang-Ning Tan, Pouyan Hatami, Lifeng Luo
MUSCAT: Multi-Scale Spatio-Temporal Learning with Application to Climate Modeling. IJCAI (2018)
Xi Liu, Pang-Ning Tan, Lei Liu
STARS: Soft Multi-Task Learning for Activity Recognition from Multi-Modal Sensor Data. PAKDD (2) (2018)
Farzan Masrour, Pang-Ning Tan, Abdol-Hossein Esfahanian, Courtland VanDam
Attributed Network Representation Learning Approaches for Link Prediction. ASONAM (2018)
Courtland VanDam, Pang-Ning Tan, Jiliang Tang, Hamid Karimi
CADET: A Multi-View Learning Framework for Compromised Account Detection on Twitter. ASONAM (2018)
Xi Liu, Pang-Ning Tan, Zubin Abraham, Lifeng Luo, Pouyan Hatami
Distribution Preserving Multi-task Regression for Spatio-Temporal Data. ICDM (2018)
Shuai Yuan, Pang-Ning Tan, Kendra Spence Cheruvelil, C. Emi Fergus, Nicholas K. Skaff, Patricia A. Soranno
Hash-Based Feature Learning for Incomplete Continuous-Valued Data. SDM (2017)
Courtland VanDam, Jiliang Tang, Pang-Ning Tan
Understanding compromised accounts on Twitter. WI (2017)
Shuai Yuan, Jiayu Zhou, Pang-Ning Tan, C. Emi Fergus, Tyler Wagner, Patricia A. Soranno
Multi-level Multi-task Learning for Modeling Cross-Scale Interactions in Nested Geospatial Data. ICDM (2017)
Jianpeng Xu, Pang-Ning Tan, Jiayu Zhou, Lifeng Luo
Online Multi-Task Learning Framework for Ensemble Forecasting. IEEE Trans. Knowl. Data Eng. 29 (6) (2017)
Xi Liu, Pang-Ning Tan, Lei Liu, Steven J. Simske
Automated classification of EEG signals for predicting students' cognitive state during learning. WI (2017)
Jianpeng Xu, Kaixiang Lin, Pang-Ning Tan, Jiayu Zhou
Synergies that Matter: Efficient Interaction Selection via Sparse Factorization Machine. SDM (2016)
Jianpeng Xu, Jiayu Zhou, Pang-Ning Tan, Xi Liu, Lifeng Luo
WISDOM: Weighted incremental spatio-temporal multi-task learning via tensor decomposition. IEEE BigData (2016)
Ding Wang, Prakash Mandayam Comar, Pang-Ning Tan
Crowdsourcing of network data. IJCNN (2016)
Courtland VanDam, Pang-Ning Tan
Detecting hashtag hijacking from Twitter. WebSci (2016)
Jianpeng Xu, Pang-Ning Tan, Lifeng Luo, Jiayu Zhou
GSpartan: a Geospatio-Temporal Multi-task Learning Framework for Multi-location Prediction. SDM (2016)
Xi Liu, Han Hee Song, Mario Baldi, Pang-Ning Tan
Macro-scale mobile app market analysis using customized hierarchical categorization. INFOCOM (2016)
Lei Liu, Pang-Ning Tan, Xi Liu
MF-Tree: Matrix Factorization Tree for Large Multi-Class Learning. CIKM (2015)
Jianpeng Xu, Jiayu Zhou, Pang-Ning Tan
FORMULA: FactORized MUlti-task LeArning for task discovery in personalized medical models. SDM (2015)
Shuai Yuan, Pang-Ning Tan, Kendra Spence Cheruvelil, Sarah M. Collins, Patricia A. Soranno
Constrained spectral clustering for regionalization: Exploring the trade-off between spatial contiguity and landscape homogeneity. DSAA (2015)
Zubin Abraham, Pang-Ning Tan, Perdinan, Julie A. Winkler, Shiyuan Zhong, Malgorzata Liszewska
Contour regression: A distribution-regularized regression framework for climate modeling. Stat. Anal. Data Min. 7 (4) (2014)
Jianpeng Xu, Pang-Ning Tan, Lifeng Luo
ORION: Online Regularized Multi-task Regression and Its Application to Ensemble Forecasting. ICDM (2014)
Lei Liu, Sabyasachi Saha, Ruben Torres, Jianpeng Xu, Pang-Ning Tan, Antonio Nucci, Marco Mellia
Detecting malicious clients in ISP networks using HTTP connectivity graph and flow information. ASONAM (2014)
Zubin Abraham, Pang-Ning Tan, Perdinan, Julie Winkler, Shiyuan Zhong, Malgorzata Liszewska
Position Preserving Multi-Output Prediction. ECML/PKDD (2) (2013)
Zubin Abraham, Malgorzata Liszewska, Perdinan, Pang-Ning Tan, Julie Winkler, Shiyuan Zhong
Distribution Regularized Regression Framework for Climate Modeling. SDM (2013)
Lei Liu, Prakash Mandayam Comar, Antonio Nucci, Sabyasachi Saha, Pang-Ning Tan
Missing or Inapplicable: Treatment of Incomplete Continuous-valued Features in Supervised Learning. SDM (2013)
Prakash Mandayam Comar, Lei Liu, Sabyasachi Saha, Pang-Ning Tan, Antonio Nucci
Combining supervised and unsupervised learning for zero-day malware detection. INFOCOM (2013)
Prakash Mandayam Comar, Pang-Ning Tan, Anil K. Jain
A framework for joint community detection across multiple related networks. Neurocomputing 76 (1) (2012)
Lei Liu, Prakash Mandayam Comar, Sabyasachi Saha, Pang-Ning Tan, Antonio Nucci
Recursive NMF: Efficient label tree learning for large multi-class problems. ICPR (2012)
Prakash Mandayam Comar, Pang-Ning Tan, Anil K. Jain
Simultaneous classification and community detection on heterogeneous network data. Data Min. Knowl. Discov. 25 (3) (2012)
Prakash Mandayam Comar, Lei Liu, Sabyasachi Saha, Antonio Nucci, Pang-Ning Tan
Weighted linear kernel with tree transformed features for malware detection. CIKM (2012)
Zubin Abraham, Pang-Ning Tan, Fan Xin
Smoothed Quantile Regression for Statistical Downscaling of Extreme Events in Climate Modeling. CIDU (2011)
Samah Jamal Fodeh, William F. Punch, Pang-Ning Tan
On ontology-driven document clustering using core semantic features. Knowl. Inf. Syst. 28 (2) (2011)
Prakash Mandayam Comar, Pang-Ning Tan, Anil K. Jain
LinkBoost: A Novel Cost-Sensitive Boosting Framework for Community-Level Network Link Prediction. ICDM (2011)
Feilong Chen, Supranamaya Ranjan, Pang-Ning Tan
Detecting bots via incremental LS-SVM learning with dynamic feature adaptation. KDD (2011)
Ronald Nussbaum, Abdol-Hossein Esfahanian, Pang-Ning Tan
Clustering Social Networks Using Distance-Preserving Subgraphs. ASONAM (2010)
Prakash Mandayam Comar, Pang-Ning Tan, Anil Kumar Jain
Identifying Cohesive Subgroups and Their Correspondences in Multiple Related Networks. Web Intelligence (2010)
Haibin Cheng, Pang-Ning Tan, Rong Jin
Efficient Algorithm for Localized Support Vector Machine. IEEE Trans. Knowl. Data Eng. 22 (4) (2010)
Jerry Scripps, Pang-Ning Tan
Constrained overlapping clusters: minimizing the negative effects of bridge-nodes. Stat. Anal. Data Min. 3 (1) (2010)
Lei Liu, Pang-Ning Tan
A Framework for Co-classification of Articles and Users in Wikipedia. Web Intelligence (2010)
Prakash Mandayam Comar, Pang-Ning Tan, Anil Kumar Jain
Multi task learning on multiple related networks. CIKM (2010)
Zubin Abraham, Pang-Ning Tan
An Integrated Framework for Simultaneous Classification and Regression of Time-Series Data. SDM (2010)
Feilong Chen, Pang-Ning Tan, Anil K. Jain
A co-classification framework for detecting web spam and spammers in social media web sites. CIKM (2009)
Zubin Abraham, Pang-Ning Tan
A Semi-supervised Framework for Simultaneous Classification and Regression of Zero-Inflated Time Series Data with Application to Precipitation Prediction. ICDM Workshops (2009)
Ronald Nussbaum, Abdol-Hossein Esfahanian, Pang-Ning Tan
History-Based Email Prioritization. ASONAM (2009)
Samah Jamal Fodeh, William F. Punch, Pang-Ning Tan
Combining statistics and semantics via ensemble model for document clustering. SAC (2009)
Haibin Cheng, Pang-Ning Tan, Christopher Potter, Steven A. Klooster
Detection and Characterization of Anomalies in Multivariate Time Series. SDM (2009)
Jerry Scripps, Pang-Ning Tan, Feilong Chen, Abdol-Hossein Esfahanian
A Matrix Alignment Approach for Collective Classification. ASONAM (2009)
Jerry Scripps, Pang-Ning Tan, Abdol-Hossein Esfahanian
Measuring the effects of preprocessing decisions and network forces in dynamic network analysis. KDD (2009)
Haibin Cheng, Pang-Ning Tan, Christopher Potter, Steven A. Klooster
Data mining for visual exploration and detection of ecosystem disturbances. GIS (2008)
Jerry Scripps, Pang-Ning Tan, Feilong Chen, Abdol-Hossein Esfahanian
A matrix alignment approach for link prediction. ICPR (2008)
Haibin Cheng, Pang-Ning Tan
Semi-supervised learning with data calibration for long-term time series forecasting. KDD (2008)
Feilong Chen, Jerry Scripps, Pang-Ning Tan
Link Mining for a Social Bookmarking Web Site. Web Intelligence (2008)
Haibin Cheng, Pang-Ning Tan, Christopher Potter, Steven A. Klooster
A Robust Graph-Based Algorithm for Detection and Characterization of Anomalies in Noisy Multivariate Time Series. ICDM Workshops (2008)
Haibin Cheng, Ruofei Zhang, Yefei Peng, Jianchang Mao, Pang-Ning Tan
Maximum Margin Active Learning for Sequence Labeling with Different Length. ICDM (2008)
H. D. K. Moonesinghe, Pang-Ning Tan
Outrank: a Graph-Based Outlier Detection Framework Using Random Walk. Int. J. Artif. Intell. Tools 17 (1) (2008)
Haibin Cheng, Pang-Ning Tan, Rong Jin
Localized Support Vector Machine and Its Efficient Algorithm. SDM (2007)
Hamed Valizadegan, Pang-Ning Tan
A Prototype-driven Framework for Change Detection in Data Stream Classification. CIDM (2007)
Samah Jamal Fodeh, Pang-Ning Tan
Incorporating Background Knowledge for Subjective Rule Evaluation. ICTAI (2) (2007)
Hamed Valizadegan, Pang-Ning Tan
Kernel Based Detection of Mislabeled Training Examples. SDM (2007)
H. D. K. Moonesinghe, Hamed Valizadegan, Samah Jamal Fodeh, Pang-Ning Tan
A Probabilistic Substructure-Based Approach for Graph Classification. ICTAI (1) (2007)
Jerry Scripps, Pang-Ning Tan, Abdol-Hossein Esfahanian
Exploration of Link Structure and Community-Based Node Roles in Network Analysis. ICDM (2007)
Haibin Cheng, Pang-Ning Tan, Jon Sticklen, William F. Punch
Recommendation via Query Centered Random Walk on K-Partite Graph. ICDM (2007)

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Publication Activity (10 Years)

Top Topics

Top Venues

Pang-Ning Tan