Chandan K. Reddy

Affiliations:
  • Virginia Tech, Department of Computer Science, Blacksburg, VA, USA
  • Cornell University, Ithaca, NY, USA (PhD)


According to our database1, Chandan K. Reddy authored at least 144 papers between 2004 and 2022.

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Bibliography

2022
Corpus-level and Concept-based Explanations for Interpretable Document Classification.
ACM Trans. Knowl. Discov. Data, 2022

Differentially private synthetic medical data generation using convolutional GANs.
Inf. Sci., 2022

Multi-Label Clinical Time-Series Generation via Conditional GAN.
CoRR, 2022

ANTHEM: Attentive Hyperbolic Entity Model for Product Search.
Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

2021
A Novel Tensor-Based Temporal Multi-Task Survival Analysis Model.
IEEE Trans. Knowl. Data Eng., 2021

Neural Abstractive Text Summarization with Sequence-to-Sequence Models.
Trans. Data Sci., 2021

Supervised Contrastive Learning for Interpretable Long Document Comparison.
CoRR, 2021

Attention-based Aspect Reasoning for Knowledge Base Question Answering on Clinical Notes.
CoRR, 2021

Fair Representation Learning using Interpolation Enabled Disentanglement.
CoRR, 2021

Self-supervised Transformer for Multivariate Clinical Time-Series with Missing Values.
CoRR, 2021

Self-Supervised Graph Learning with Hyperbolic Embedding for Temporal Health Event Prediction.
CoRR, 2021

Self-Supervised Learning of Contextual Embeddings for Link Prediction in Heterogeneous Networks.
Proceedings of the WWW '21: The Web Conference 2021, 2021

Self-Supervised Hyperboloid Representations from Logical Queries over Knowledge Graphs.
Proceedings of the WWW '21: The Web Conference 2021, 2021

T-Miner: A Generative Approach to Defend Against Trojan Attacks on DNN-based Text Classification.
Proceedings of the 30th USENIX Security Symposium, 2021

Interpretable Graph Similarity Computation via Differentiable Optimal Alignment of Node Embeddings.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Probabilistic Entity Representation Model for Reasoning over Knowledge Graphs.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Workshop on Data-Efficient Machine Learning (DeMaL).
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Collaborative Graph Learning with Auxiliary Text for Temporal Event Prediction in Healthcare.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

A Simple and Effective Self-Supervised Contrastive Learning Framework for Aspect Detection.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Deep Reinforcement Learning for Sequence-to-Sequence Models.
IEEE Trans. Neural Networks Learn. Syst., 2020

Semi-Supervised Deep Learning Approach for Transportation Mode Identification Using GPS Trajectory Data.
IEEE Trans. Knowl. Data Eng., 2020

Probabilistic Topic Modeling for Comparative Analysis of Document Collections.
ACM Trans. Knowl. Discov. Data, 2020

Deliberate Self-Attention Network with Uncertainty Estimation for Multi-Aspect Review Rating Prediction.
CoRR, 2020

A Concept-based Abstraction-Aggregation Deep Neural Network for Interpretable Document Classification.
CoRR, 2020

Image Generation Via Minimizing Fréchet Distance in Discriminator Feature Space.
CoRR, 2020

Image Hashing by Minimizing Independent Relaxed Wasserstein Distance.
CoRR, 2020

Text-to-SQL Generation for Question Answering on Electronic Medical Records.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Efficient Implicit Unsupervised Text Hashing using Adversarial Autoencoder.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Language-Agnostic Representation Learning for Product Search on E-Commerce Platforms.
Proceedings of the WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, 2020

Jekyll: Attacking Medical Image Diagnostics using Deep Generative Models.
Proceedings of the IEEE European Symposium on Security and Privacy, 2020

Question Answering with Long Multiple-Span Answers.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

NoiseScope: Detecting Deepfake Images in a Blind Setting.
Proceedings of the ACSAC '20: Annual Computer Security Applications Conference, 2020

LATTE: Latent Type Modeling for Biomedical Entity Linking.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Machine Learning for Survival Analysis: A Survey.
ACM Comput. Surv., 2019

A Translate-Edit Model for Natural Language Question to SQL Query Generation on Multi-relational Healthcare Data.
CoRR, 2019

A Hierarchical Attention Retrieval Model for Healthcare Question Answering.
Proceedings of the World Wide Web Conference, 2019

Discovering Product Defects and Solutions from Online User Generated Contents.
Proceedings of the World Wide Web Conference, 2019

Deep Transfer Reinforcement Learning for Text Summarization.
Proceedings of the 2019 SIAM International Conference on Data Mining, 2019

An Attentive Spatio-Temporal Neural Model for Successive Point of Interest Recommendation.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2019

Spatio-Temporal Event Detection from Multiple Data Sources.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2019

LeafNATS: An Open-Source Toolkit and Live Demo System for Neural Abstractive Text Summarization.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Active Learning Technique for Multimodal Brain Tumor Segmentation Using Limited Labeled Images.
Proceedings of the Domain Adaptation and Representation Transfer and Medical Image Learning with Less Labels and Imperfect Data, 2019

Document-Level Multi-Aspect Sentiment Classification for Online Reviews of Medical Experts.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

Adversarial Factorization Autoencoder for Look-alike Modeling.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

2018
Predicting <i>interval time</i> for reciprocal link creation using survival analysis.
Soc. Netw. Anal. Min., 2018

Localized user-driven topic discovery via boosted ensemble of nonnegative matrix factorization.
Knowl. Inf. Syst., 2018

DyLink2Vec: Effective Feature Representation for Link Prediction in Dynamic Networks.
CoRR, 2018

Short-Text Topic Modeling via Non-negative Matrix Factorization Enriched with Local Word-Context Correlations.
Proceedings of the 2018 World Wide Web Conference on World Wide Web, 2018

A Sparse Topic Model for Extracting Aspect-Specific Summaries from Online Reviews.
Proceedings of the 2018 World Wide Web Conference on World Wide Web, 2018

STAPLE: Spatio-Temporal Precursor Learning for Event Forecasting.
Proceedings of the 2018 SIAM International Conference on Data Mining, 2018

Spatio-Temporal Check-in Time Prediction with Recurrent Neural Network based Survival Analysis.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Social Media based Simulation Models for Understanding Disease Dynamics.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Recurrent Spatio-Temporal Point Process for Check-in Time Prediction.
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

2017
Pre-Processing Censored Survival Data Using Inverse Covariance Matrix Based Calibration.
IEEE Trans. Knowl. Data Eng., 2017

Machine Learning for Survival Analysis: A Survey.
CoRR, 2017

Probabilistic Social Sequential Model for Tour Recommendation.
Proceedings of the Tenth ACM International Conference on Web Search and Data Mining, 2017

Local Topic Discovery via Boosted Ensemble of Nonnegative Matrix Factorization.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

How Fast Will You Get a Response? Predicting Interval Time for Reciprocal Link Creation.
Proceedings of the Eleventh International Conference on Web and Social Media, 2017

A Probabilistic Geographical Aspect-Opinion Model for Geo-Tagged Microblogs.
Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

Prediction and imputation in irregularly sampled clinical time series data using hierarchical linear dynamical models.
Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017

PIVE: Per-Iteration Visualization Environment for Real-Time Interactions with Dimension Reduction and Clustering.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
A Bayesian Perspective on Early Stage Event Prediction in Longitudinal Data.
IEEE Trans. Knowl. Data Eng., 2016

RODS: Rarity based Outlier Detection in a Sparse Coding Framework.
IEEE Trans. Knowl. Data Eng., 2016

Transfer learning for class imbalance problems with inadequate data.
Knowl. Inf. Syst., 2016

A distributed ensemble approach for mining healthcare data under privacy constraints.
Inf. Sci., 2016

Predicting Complications in Critical Care Using Heterogeneous Clinical Data.
IEEE Access, 2016

Probabilistic Group Recommendation Model for Crowdfunding Domains.
Proceedings of the Ninth ACM International Conference on Web Search and Data Mining, 2016

Project Success Prediction in Crowdfunding Environments.
Proceedings of the Ninth ACM International Conference on Web Search and Data Mining, 2016

Regularized Parametric Regression for High-dimensional Survival Analysis.
Proceedings of the 2016 SIAM International Conference on Data Mining, 2016

Regularized Weighted Linear Regression for High-dimensional Censored Data.
Proceedings of the 2016 SIAM International Conference on Data Mining, 2016

Early-Stage Event Prediction for Longitudinal Data.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2016

A Multi-Task Learning Formulation for Survival Analysis.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Feature Grouping Using Weighted l1 Norm for High-Dimensional Data.
Proceedings of the IEEE 16th International Conference on Data Mining, 2016

L-EnsNMF: Boosted Local Topic Discovery via Ensemble of Nonnegative Matrix Factorization.
Proceedings of the IEEE 16th International Conference on Data Mining, 2016

Transfer Learning for Survival Analysis via Efficient L2, 1-Norm Regularized Cox Regression.
Proceedings of the IEEE 16th International Conference on Data Mining, 2016

CRISP: Consensus Regularized Selection based Prediction.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

Survival Analysis based Framework for Early Prediction of Student Dropouts.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

2015
Biclustering neighborhood-based collaborative filtering method for top-n recommender systems.
Knowl. Inf. Syst., 2015

A survey on platforms for big data analytics.
J. Big Data, 2015

Doubly supervised embedding based on class labels and intrinsic clusters for high-dimensional data visualization.
Neurocomputing, 2015

Predicting gene functions from multiple biological sources using novel ensemble methods.
Int. J. Data Min. Bioinform., 2015

Constrained elastic net based knowledge transfer for healthcare information exchange.
Data Min. Knowl. Discov., 2015

Weakly supervised nonnegative matrix factorization for user-driven clustering.
Data Min. Knowl. Discov., 2015

Simultaneous Discovery of Common and Discriminative Topics via Joint Nonnegative Matrix Factorization.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

Project Recommendation Using Heterogeneous Traits in Crowdfunding.
Proceedings of the Ninth International Conference on Web and Social Media, 2015

Geographical Latent Variable Models for Microblog Retrieval.
Proceedings of the Advances in Information Retrieval, 2015

A Review of Clinical Prediction Models.
Proceedings of the Healthcare Data Analytics., 2015

An Introduction to Healthcare Data Analytics.
Proceedings of the Healthcare Data Analytics., 2015

Electronic Health Records: A Survey.
Proceedings of the Healthcare Data Analytics., 2015

Clinical Decision Support Systems.
Proceedings of the Healthcare Data Analytics., 2015

2014
Efficient mining of discriminative co-clusters from gene expression data.
Knowl. Inf. Syst., 2014

Multi-Task Clustering using Constrained Symmetric Non-Negative Matrix Factorization.
Proceedings of the 2014 SIAM International Conference on Data Mining, 2014

PIVE: Per-Iteration visualization environment for supporting real-time interactions with computational methods.
Proceedings of the 9th IEEE Conference on Visual Analytics Science and Technology, 2014

Personalized Recommendation of Twitter Lists using Content and Network Information.
Proceedings of the Eighth International Conference on Weblogs and Social Media, 2014

Active Learning based Survival Regression for Censored Data.
Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, 2014

2013
UTOPIAN: User-Driven Topic Modeling Based on Interactive Nonnegative Matrix Factorization.
IEEE Trans. Vis. Comput. Graph., 2013

Introduction to the special section on intelligent systems for health informatics.
ACM Trans. Intell. Syst. Technol., 2013

Systems analysis reveals a transcriptional reversal of the mesenchymal phenotype induced by SNAIL-inhibitor GN-25.
BMC Syst. Biol., 2013

Big data analytics for healthcare.
Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

Cox Regression with Correlation Based Regularization for Electronic Health Records.
Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013

Location-specific tweet detection and topic summarization in Twitter.
Proceedings of the Advances in Social Networks Analysis and Mining 2013, 2013

A Survey of Partitional and Hierarchical Clustering Algorithms.
Proceedings of the Data Clustering: Algorithms and Applications, 2013

Clustering Biological Data.
Proceedings of the Data Clustering: Algorithms and Applications, 2013

Educational and Software Resources for Data Clustering.
Proceedings of the Data Clustering: Algorithms and Applications, 2013

2012
Scalable and Parallel Boosting with MapReduce.
IEEE Trans. Knowl. Data Eng., 2012

Ranking differential Hubs in gene Co-Expression Networks.
J. Bioinform. Comput. Biol., 2012

Tax Collections Optimization for New York State.
Interfaces, 2012

Query-based Biclustering using Formal Concept Analysis.
Proceedings of the Twelfth SIAM International Conference on Data Mining, 2012

Exploiting Label Dependency for Hierarchical Multi-label Classification.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2012

Label Space Transfer Learning.
Proceedings of the IEEE 24th International Conference on Tools with Artificial Intelligence, 2012

2011
Multi-resolution boosting for classification and regression problems.
Knowl. Inf. Syst., 2011

A Generalized Framework for Mining Arbitrarily Positioned Overlapping Co-clusters.
Proceedings of the Eleventh SIAM International Conference on Data Mining, 2011

Constrained Logistic Regression for Discriminative Pattern Mining.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2011

Adaptive Boosting for Transfer Learning Using Dynamic Updates.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2011

Graph-Based Clustering with Constraints.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2011

Ranking differential genes in co-expression networks.
Proceedings of the ACM International Conference on Bioinformatics, 2011

A Bayesian integration model for improved gene functional inference from heterogeneous data sources.
Proceedings of the ACM International Conference on Bioinformatics, 2011

2010
Modeling local nonlinear correlations using subspace principal curves.
Stat. Anal. Data Min., 2010

Learning mixture models via component-wise parameter smoothing.
Comput. Stat. Data Anal., 2010

p-ISOMAP: An Efficient Parametric Update for ISOMAP for Visual Analytics.
Proceedings of the SIAM International Conference on Data Mining, 2010

A Robust Seedless Algorithm for Correlation Clustering.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2010

Optimizing debt collections using constrained reinforcement learning.
Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2010

Parallelized Boosting with Map-Reduce.
Proceedings of the ICDMW 2010, 2010

Noise and Outlier Filtering in Heterogeneous Medical Data Sources.
Proceedings of the Database and Expert Systems Applications, 2010

Robust prediction from multiple heterogeneous data sources with partial information.
Proceedings of the 19th ACM Conference on Information and Knowledge Management, 2010

Differential biclustering for gene expression analysis.
Proceedings of the First ACM International Conference on Bioinformatics and Computational Biology, 2010

2009
Theory and Practice of Expectation Maximization (EM) Algorithm.
Proceedings of the Encyclopedia of Data Warehousing and Mining, Second Edition (4 Volumes), 2009

Identifying Information-Rich Subspace Trends in High-Dimensional Data.
Proceedings of the SIAM International Conference on Data Mining, 2009

Differential Predictive Modeling for Racial Disparities in Breast Cancer.
Proceedings of the 2009 IEEE International Conference on Bioinformatics and Biomedicine, 2009

2008
TRUST-TECH-Based Expectation Maximization for Learning Finite Mixture Models.
IEEE Trans. Pattern Anal. Mach. Intell., 2008

Scale-Space Kernels for Additive Modeling.
Proceedings of the Structural, 2008

Generating hypotheses of trends in high-dimensional data skeletons.
Proceedings of the 3rd IEEE Symposium on Visual Analytics Science and Technology, 2008

Component-wise parameter smoothing for learning mixture models.
Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008

Boosting Methods for Protein Fold Recognition: An Empirical Comparison.
Proceedings of the 2008 IEEE International Conference on Bioinformatics and Biomedicine, 2008

Retrieval and ranking of biomedical images using boosted haar features.
Proceedings of the 8th IEEE International Conference on Bioinformatics and Bioengineering, 2008

2007
TRUST-TECH based Methods for Optimization and Learning
CoRR, 2007

Looking for Great Ideas: Analyzing the Innovation Jam.
Proceedings of the Advances in Web Mining and Web Usage Analysis, 2007

TRUST-TECH Based Neural Network Training.
Proceedings of the International Joint Conference on Neural Networks, 2007

Scale-Space Based Weak Regressors for Boosting.
Proceedings of the Machine Learning: ECML 2007, 2007

2006
A Stability Boundary Based Method for Finding Saddle Points on Potential Energy Surfaces.
J. Comput. Biol., 2006

Refining motifs by improving information content scores using neighborhood profile search.
Algorithms Mol. Biol., 2006

Stability Region Based Expectation Maximization for Model-based Clustering.
Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 2006

2005
Finding saddle points using stability boundaries.
Proceedings of the 2005 ACM Symposium on Applied Computing (SAC), 2005

2004
Mobile Face Capture for Virtual Face Videos.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2004


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