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  1. StructCoder: Structure-Aware Transformer for Code Generation

    Article • ACM Transactions on Knowledge Discovery from Data, December 2023, ACM (Association for Computing Machinery)

    Prof. Chandan K Reddy, Sindhu Tipirneni

  2. Supervised Contrastive Learning for Interpretable Long-Form Document Matching

    Article • ACM Transactions on Knowledge Discovery from Data, February 2023, ACM (Association for Computing Machinery)

    Prof. Chandan K Reddy

  3. Hyperbolic Neural Networks: Theory, Architectures and Applications

    Article • August 2022, ACM (Association for Computing Machinery)

    Nurendra Choudhary , Karthik Subbian, Prof. Chandan K Reddy

  4. Graph-based Multilingual Language Model

    Article • August 2022, ACM (Association for Computing Machinery)

    Nurendra Choudhary , Karthik Subbian, Prof. Chandan K Reddy

  5. Attention-based aspect reasoning for knowledge base question answering on clinical notes

    Article • August 2022, ACM (Association for Computing Machinery)

    Prof. Chandan K Reddy

  6. Self-supervised Short-text Modeling through Auxiliary Context Generation

    Article • ACM Transactions on Intelligent Systems and Technology, June 2022, ACM (Association for Computing Machinery)

    Nurendra Choudhary , Prof. Chandan K Reddy

  7. Self-Supervised Transformer for Sparse and Irregularly Sampled Multivariate Clinical Time-Series

    Article • ACM Transactions on Knowledge Discovery from Data, June 2022, ACM (Association for Computing Machinery)

    Prof. Chandan K Reddy, Sindhu Tipirneni

  8. Accepted Tutorials at The Web Conference 2022

    Article • April 2022, ACM (Association for Computing Machinery)

    Preslav Nakov, Dr. Firoj Alam, Johannes Frey, Emanuele Della Valle, Hiba Arnaout, Shrestha Ghosh, Nurendra Choudhary , Karthik Subbian, Prof. Chandan K Reddy, Yejing Wang, Yang Zhang

  9. GraphZoo: A Development Toolkit for Graph Neural Networks with Hyperbolic Geometries

    Article • April 2022, ACM (Association for Computing Machinery)

    Prof. Chandan K Reddy, Anoushka Vyas, Nurendra Choudhary

  10. ANTHEM

    Article • February 2022, ACM (Association for Computing Machinery)

    Nurendra Choudhary , Karthik Subbian, Prof. Chandan K Reddy

  11. Workshop on Data-Efficient Machine Learning (DeMaL)

    Article • August 2021, ACM (Association for Computing Machinery)

    Prof. Chandan K Reddy

  12. Interpretable Graph Similarity Computation via Differentiable Optimal Alignment of Node Embeddings

    Article • July 2021, ACM (Association for Computing Machinery)

    Prof. Chandan K Reddy, Suchismit Mahapatra

  13. Self-Supervised Learning of Contextual Embeddings for Link Prediction in Heterogeneous Networks

    Article • April 2021, ACM (Association for Computing Machinery)

    Prof. Chandan K Reddy

  14. Using hyperboloids to embed and query knowledge graphs

    Article • April 2021, ACM (Association for Computing Machinery)

    Prof. Chandan K Reddy, Karthik Subbian, Nurendra Choudhary

  15. Neural Abstractive Text Summarization with Sequence-to-Sequence Models

    Article • ACM/IMS Transactions on Data Science, February 2021, ACM (Association for Computing Machinery)

    Prof. Chandan K Reddy

  16. NoiseScope: Detecting Deepfake Images in a Blind Setting

    Article • December 2020, ACM (Association for Computing Machinery)

    Prof. Chandan K Reddy

  17. Text-to-SQL Generation for Question Answering on Electronic Medical Records

    Article • April 2020, ACM (Association for Computing Machinery)

    Prof. Chandan K Reddy

  18. Efficient Implicit Unsupervised Text Hashing using Adversarial Autoencoder

    Article • April 2020, ACM (Association for Computing Machinery)

    Prof. Chandan K Reddy

  19. Comparative Analysis of Document Collections using Topic Models

    Article • ACM Transactions on Knowledge Discovery from Data, March 2020, ACM (Association for Computing Machinery)

    Prof. Chandan K Reddy

  20. Machine Learning for Survival Analysis

    Article • ACM Computing Surveys, November 2019, ACM (Association for Computing Machinery)

    Prof. Chandan K Reddy

  21. Document-Level Multi-Aspect Sentiment Classification for Online Reviews of Medical Experts

    Article • November 2019, ACM (Association for Computing Machinery)

    Prof. Chandan K Reddy

  22. Adversarial Factorization Autoencoder for Look-alike Modeling

    Article • November 2019, ACM (Association for Computing Machinery)

    Prof. Chandan K Reddy

  23. A Hierarchical Attention Retrieval Model for Healthcare Question Answering

    Article • May 2019, ACM (Association for Computing Machinery)

    Prof. Chandan K Reddy

  24. Article • January 2019, Association for Computational Linguistics (ACL)

    Prof. Chandan K Reddy

  25. Recurrent Spatio-Temporal Point Process for Check-in Time Prediction

    Article • October 2018, ACM (Association for Computing Machinery)

    Prof. Chandan K Reddy

  26. STAPLE: Spatio-Temporal Precursor Learning for Event Forecasting

    Article • May 2018, Society for Industrial & Applied Mathematics (SIAM)

    Prof. Chandan K Reddy

  27. Predicting interval time for reciprocal link creation using survival analysis

    Article • Social Network Analysis and Mining, March 2018, Springer Science + Business Media

    Prof. Chandan K Reddy

  28. A dual boundary classifier for predicting acute hypotensive episodes in critical care

    Article • PLoS ONE, February 2018, PLOS

    Prof. Chandan K Reddy

  29. Localized user-driven topic discovery via boosted ensemble of nonnegative matrix factorization

    Article • Knowledge and Information Systems, January 2018, Springer Science + Business Media

    Prof. Chandan K Reddy

  30. A Sparse Topic Model for Extracting Aspect-Specific Summaries from Online Reviews

    Article • January 2018, ACM (Association for Computing Machinery)

    Prof. Chandan K Reddy

  31. Short-Text Topic Modeling via Non-negative Matrix Factorization Enriched with Local Word-Context Correlations

    Article • January 2018, ACM (Association for Computing Machinery)

    Prof. Chandan K Reddy, Kyeongpil Kang

  32. Survival Analysis based Framework for Early Prediction of Student Dropouts

    Article • October 2016, ACM (Association for Computing Machinery)

    Ratna Babu Chinnam, Prof. Chandan K Reddy

  33. CRISP

    Article • October 2016, ACM (Association for Computing Machinery)

    Prof. Chandan K Reddy

  34. Probabilistic Group Recommendation Model for Crowdfunding Domains

    Article • February 2016, ACM (Association for Computing Machinery)

    Prof. Chandan K Reddy

  35. Project Success Prediction in Crowdfunding Environments

    Article • February 2016, ACM (Association for Computing Machinery)

    Prof. Chandan K Reddy

  36. A distributed ensemble approach for mining healthcare data under privacy constraints

    Article • Information Sciences, February 2016, Elsevier

    Prof. Chandan K Reddy

  37. RODS: Rarity based Outlier Detection in a Sparse Coding Framework

    Article • IEEE Transactions on Knowledge and Data Engineering, February 2016, Institute of Electrical & Electronics Engineers (IEEE)

    Prof. Chandan K Reddy

  38. Early-Stage Event Prediction for Longitudinal Data

    Article • January 2016, Springer Science + Business Media

    Prof. Chandan K Reddy

  39. Powerful Tests for Multi-Marker Association Analysis Using Ensemble Learning

    Article • PLoS ONE, November 2015, PLOS

    Prof. Chandan K Reddy

  40. Transfer learning for class imbalance problems with inadequate data

    Article • Knowledge and Information Systems, August 2015, Springer Science + Business Media

    Prof. Chandan K Reddy

  41. Simultaneous Discovery of Common and Discriminative Topics via Joint Nonnegative Matrix Factorization

    Article • August 2015, ACM (Association for Computing Machinery)

    Prof. Chandan K Reddy

  42. Healthcare Data Analytics

    Article • June 2015, Taylor & Francis

    Prof. Chandan K Reddy

  43. Joint Impact of Clinical and Behavioral Variables on the Risk of Unplanned Readmission and Death after a Heart Failure Hospitalization

    Article • PLoS ONE, June 2015, PLOS

    Prof. Chandan K Reddy

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

    Article • Neurocomputing, February 2015, Elsevier

    Prof. Chandan K Reddy

  45. Predicting gene functions from multiple biological sources using novel ensemble methods

    Article • International Journal of Data Mining and Bioinformatics, January 2015, Inderscience Publishers

    Prof. Chandan K Reddy

  46. Constrained elastic net based knowledge transfer for healthcare information exchange

    Article • Data Mining and Knowledge Discovery, December 2014, Springer Science + Business Media

    Prof. Chandan K Reddy

  47. Weakly supervised nonnegative matrix factorization for user-driven clustering

    Article • Data Mining and Knowledge Discovery, October 2014, Springer Science + Business Media

    Prof. Chandan K Reddy

  48. PIVE: Per-Iteration visualization environment for supporting real-time interactions with computational methods

    Article • October 2014, Institute of Electrical & Electronics Engineers (IEEE)

    Prof. Chandan K Reddy

  49. Biclustering neighborhood-based collaborative filtering method for top-n recommender systems

    Article • Knowledge and Information Systems, August 2014, Springer Science + Business Media

    Prof. Chandan K Reddy

  50. Active Learning based Survival Regression for Censored Data

    Article • January 2014, ACM (Association for Computing Machinery)

    Prof. Chandan K Reddy

  51. Cox Regression with Correlation Based Regularization for Electronic Health Records

    Article • December 2013, Institute of Electrical & Electronics Engineers (IEEE)

    Prof. Chandan K Reddy

  52. UTOPIAN: User-Driven Topic Modeling Based on Interactive Nonnegative Matrix Factorization

    Article • IEEE Transactions on Visualization and Computer Graphics, December 2013, Institute of Electrical & Electronics Engineers (IEEE)

    Prof. Chandan K Reddy

  53. Introduction to the special section on intelligent systems for health informatics

    Article • ACM Transactions on Intelligent Systems and Technology, September 2013, ACM (Association for Computing Machinery)

    Prof. Chandan K Reddy

  54. Efficient mining of discriminative co-clusters from gene expression data

    Article • Knowledge and Information Systems, August 2013, Springer Science + Business Media

    Prof. Chandan K Reddy

  55. Location-specific tweet detection and topic summarization in Twitter

    Article • January 2013, ACM (Association for Computing Machinery)

    Prof. Chandan K Reddy

  56. Systems analysis reveals a transcriptional reversal of the mesenchymal phenotype induced by SNAIL-inhibitor GN-25

    Article • BMC Systems Biology, January 2013, Springer Science + Business Media

    Prof. Chandan K Reddy

  57. Label Space Transfer Learning

    Article • November 2012, Institute of Electrical & Electronics Engineers (IEEE)

    Prof. Chandan K Reddy

  58. Scalable and Parallel Boosting with MapReduce

    Article • IEEE Transactions on Knowledge and Data Engineering, October 2012, Institute of Electrical & Electronics Engineers (IEEE)

    Prof. Chandan K Reddy

  59. Tax Collections Optimization for New York State

    Article • INFORMS Journal on Applied Analytics, February 2012, INFORMS

    Prof. Chandan K Reddy

  60. RANKING DIFFERENTIAL HUBS IN GENE CO-EXPRESSION NETWORKS

    Article • Journal of Bioinformatics and Computational Biology, February 2012, World Scientific Pub Co Pte Lt

    Prof. Chandan K Reddy

  61. Exploiting Label Dependency for Hierarchical Multi-label Classification

    Article • January 2012, Springer Science + Business Media

    Prof. Chandan K Reddy

  62. A probabilistic model for predicting the probability of no-show in hospital appointments

    Article • Health Care Management Science, February 2011, Springer Science + Business Media

    Prof. Chandan K Reddy

  63. Constrained Logistic Regression for Discriminative Pattern Mining

    Article • January 2011, Springer Science + Business Media

    Prof. Chandan K Reddy

  64. A Bayesian integration model for improved gene functional inference from heterogeneous data sources

    Article • January 2011, ACM (Association for Computing Machinery)

    Prof. Chandan K Reddy

  65. Adaptive Boosting for Transfer Learning Using Dynamic Updates

    Article • January 2011, Springer Science + Business Media

    Prof. Chandan K Reddy

  66. Ranking differential genes in co-expression networks

    Article • January 2011, ACM (Association for Computing Machinery)

    Prof. Chandan K Reddy

  67. Parallelized Boosting with Map-Reduce

    Article • December 2010, Institute of Electrical & Electronics Engineers (IEEE)

    Prof. Chandan K Reddy

  68. Multi-resolution boosting for classification and regression problems

    Article • Knowledge and Information Systems, November 2010, Springer Science + Business Media

    Prof. Chandan K Reddy

  69. Modeling local nonlinear correlations using subspace principal curves

    Article • Statistical Analysis and Data Mining The ASA Data Science Journal, September 2010, Wiley

    Prof. Chandan K Reddy

  70. Noise and Outlier Filtering in Heterogeneous Medical Data Sources

    Article • August 2010, Institute of Electrical & Electronics Engineers (IEEE)

    Prof. Chandan K Reddy

  71. Learning mixture models via component-wise parameter smoothing

    Article • Computational Statistics & Data Analysis, March 2010, Elsevier

    Prof. Chandan K Reddy

  72. A Robust Seedless Algorithm for Correlation Clustering

    Article • January 2010, Springer Science + Business Media

    Prof. Chandan K Reddy

  73. Differential biclustering for gene expression analysis

    Article • January 2010, ACM (Association for Computing Machinery)

    Prof. Chandan K Reddy

  74. Trends & Controversies

    Article • IEEE Intelligent Systems, January 2010, Institute of Electrical & Electronics Engineers (IEEE)

    Prof. Chandan K Reddy

  75. Optimizing debt collections using constrained reinforcement learning

    Article • January 2010, ACM (Association for Computing Machinery)

    Prof. Chandan K Reddy

  76. Robust prediction from multiple heterogeneous data sources with partial information

    Article • January 2010, ACM (Association for Computing Machinery)

    Prof. Chandan K Reddy

  77. CMEIAS Color Segmentation: An Improved Computing Technology to Process Color Images for Quantitative Microbial Ecology Studies at Single-Cell Resolution

    Article • Microbial Ecology, December 2009, Springer Science + Business Media

    Prof. Chandan K Reddy

  78. Differential Predictive Modeling for Racial Disparities in Breast Cancer

    Article • November 2009, Institute of Electrical & Electronics Engineers (IEEE)

    Prof. Chandan K Reddy

  79. Looking for Great Ideas: Analyzing the Innovation Jam

    Article • January 2009, Springer Science + Business Media

    Prof. Chandan K Reddy

  80. Multi-resolution Boosting for Classification and Regression Problems

    Article • January 2009, Springer Science + Business Media

    Prof. Chandan K Reddy

  81. Generating hypotheses of trends in high-dimensional data skeletons

    Article • October 2008, Institute of Electrical & Electronics Engineers (IEEE)

    Prof. Chandan K Reddy

  82. Retrieval and ranking of biomedical images using boosted haar features

    Article • October 2008, Institute of Electrical & Electronics Engineers (IEEE)

    Prof. Chandan K Reddy

  83. TRUST-TECH-Based Expectation Maximization for Learning Finite Mixture Models

    Article • IEEE Transactions on Pattern Analysis and Machine Intelligence, July 2008, Institute of Electrical & Electronics Engineers (IEEE)

    Prof. Chandan K Reddy

  84. Boosting Methods for Protein Fold Recognition: An Empirical Comparison

    Article • January 2008, Institute of Electrical & Electronics Engineers (IEEE)

    Prof. Chandan K Reddy

  85. Scale-Space Kernels for Additive Modeling

    Article • January 2008, Springer Science + Business Media

    Prof. Chandan K Reddy

  86. TRUST-TECH Based Neural Network Training

    Article • August 2007, Institute of Electrical & Electronics Engineers (IEEE)

    Prof. Chandan K Reddy

  87. Looking for great ideas

    Article • January 2007, ACM (Association for Computing Machinery)

    Prof. Chandan K Reddy

  88. Stability Region Based Expectation Maximization for Model-based Clustering

    Article • December 2006, Institute of Electrical & Electronics Engineers (IEEE)

    Prof. Chandan K Reddy

  89. Refining motifs by improving information content scores using neighborhood profile search

    Article • Algorithms for Molecular Biology, November 2006, Springer Science + Business Media

    Prof. Chandan K Reddy

  90. A Stability Boundary Based Method for Finding Saddle Points on Potential Energy Surfaces

    Article • Journal of Computational Biology, April 2006, Mary Ann Liebert Inc

    Prof. Chandan K Reddy

  91. Finding saddle points using stability boundaries

    Article • January 2005, ACM (Association for Computing Machinery)

    Prof. Chandan K Reddy

  92. Novel information theoretic and Bayesian approach to fMRI data analysis

    Article • May 2003, SPIE

    Prof. Chandan K Reddy

  93. Semi-Automated Segmentation of Microbes in Color Images

    Article • January 2003, SPIE

    Prof. Chandan K Reddy

  94. Neighborhood Profile Search for Motif Refinement

    Article • Wiley

    Prof. Chandan K Reddy

  95. Mobile Face Capture for Virtual Face Videos

    Article • Institute of Electrical & Electronics Engineers (IEEE)

    Prof. Chandan K Reddy

  96. Theory and Practice of Expectation Maximization (EM) Algorithm

    Article • IGI Global

    Prof. Chandan K Reddy