Mobile Face Capture for Virtual Face Videos. - Chandan K. Reddy; George C. Stockman; Jannick P. Rolland; Frank A. Biocca (CVPR Workshops, 2004)

Finding saddle points using stability boundaries. - Chandan K. Reddy; Hsiao-Dong Chiang (SAC, 2005)

Stability Region Based Expectation Maximization for Model-based Clustering. - Chandan K. Reddy; Hsiao-Dong Chiang; Bala Rajaratnam (ICDM, 2006)

Refining motifs by improving information content scores using neighborhood profile search. - Chandan K. Reddy; Yao-Chung Weng; Hsiao-Dong Chiang (Algorithms Mol. Biol., 2006)

A Stability Boundary Based Method for Finding Saddle Points on Potential Energy Surfaces. - Chandan K. Reddy; Hsiao-Dong Chiang (J. Comput. Biol., 2006)

Scale-Space Based Weak Regressors for Boosting. - Jin Hyeong Park; Chandan K. Reddy (ECML, 2007)

TRUST-TECH Based Neural Network Training. - Hsiao-Dong Chiang; Chandan K. Reddy (IJCNN, 2007)

Looking for Great Ideas: Analyzing the Innovation Jam. - Wojciech Gryc; Mary E. Helander; Richard D. Lawrence; Yan Liu 002; Claudia Perlich; Chandan K. Reddy; Saharon Rosset (WebKDD/SNA-KDD, 2007)

TRUST-TECH based Methods for Optimization and Learning - Chandan K. Reddy (CoRR, 2007)

Retrieval and ranking of biomedical images using boosted haar features. - Chandan K. Reddy; Fahima A. Bhuyan (BIBE, 2008)

Boosting Methods for Protein Fold Recognition: An Empirical Comparison. - Yazhene Krishnaraj; Chandan K. Reddy (BIBM, 2008)

Component-wise parameter smoothing for learning mixture models. - Chandan K. Reddy; Bala Rajaratnam (ICPR, 2008)

Generating hypotheses of trends in high-dimensional data skeletons. - Chandan K. Reddy; Snehal Pokharkar; Tin Kam Ho (IEEE VAST, 2008)

Scale-Space Kernels for Additive Modeling. - Chandan K. Reddy; Jin Hyeong Park (SSPR/SPR, 2008)

TRUST-TECH-Based Expectation Maximization for Learning Finite Mixture Models. - Chandan K. Reddy; Hsiao-Dong Chiang; Bala Rajaratnam (IEEE Trans. Pattern Anal. Mach. Intell., 2008)

Differential Predictive Modeling for Racial Disparities in Breast Cancer. - Indranil Palit; Chandan K. Reddy; Kendra L. Schwartz (BIBM, 2009)

Identifying Information-Rich Subspace Trends in High-Dimensional Data. - Snehal Pokharkar; Chandan K. Reddy (SDM, 2009)

Theory and Practice of Expectation Maximization (EM) Algorithm. - Chandan K. Reddy; Bala Rajaratnam (Encyclopedia of Data Warehousing and Mining, 2009)

Differential biclustering for gene expression analysis. - Omar Odibat; Chandan K. Reddy; Craig N. Giroux (BCB, 2010)

Robust prediction from multiple heterogeneous data sources with partial information. - Mohammad S. Aziz; Chandan K. Reddy (CIKM, 2010)

Noise and Outlier Filtering in Heterogeneous Medical Data Sources. - Noor Alaydie; Farshad Fotouhi; Chandan K. Reddy; Hamid Soltanian-Zadeh (DEXA Workshops, 2010)

Parallelized Boosting with Map-Reduce. - Indranil Palit; Chandan K. Reddy (ICDM Workshops, 2010)

Optimizing debt collections using constrained reinforcement learning. - Naoki Abe; Prem Melville; Cezar Pendus; Chandan K. Reddy; David L. Jensen; Vince P. Thomas; James J. Bennett; Gary F. Anderson; Brent R. Cooley; Melissa Kowalczyk; Mark Domick; Timothy Gardinier (KDD, 2010)

A Robust Seedless Algorithm for Correlation Clustering. - Mohammad S. Aziz; Chandan K. Reddy (PAKDD (1), 2010)

p-ISOMAP: An Efficient Parametric Update for ISOMAP for Visual Analytics. - Jaegul Choo; Chandan K. Reddy; Hanseung Lee; Haesun Park (SDM, 2010)

Learning mixture models via component-wise parameter smoothing. - Chandan K. Reddy; Bala Rajaratnam (Comput. Stat. Data Anal., 2010)

Modeling local nonlinear correlations using subspace principal curves. - Chandan K. Reddy; Mohammad S. Aziz (Stat. Anal. Data Min., 2010)

A Bayesian integration model for improved gene functional inference from heterogeneous data sources. - Noor Alaydie; Chandan K. Reddy; Farshad Fotouhi (BCB, 2011)

Ranking differential genes in co-expression networks. - Omar Odibat; Chandan K. Reddy (BCB, 2011)

Graph-Based Clustering with Constraints. - Rajul Anand; Chandan K. Reddy (PAKDD (2), 2011)

Adaptive Boosting for Transfer Learning Using Dynamic Updates. - Samir Al-Stouhi; Chandan K. Reddy (ECML/PKDD (1), 2011)

Constrained Logistic Regression for Discriminative Pattern Mining. - Rajul Anand; Chandan K. Reddy (ECML/PKDD (1), 2011)

A Generalized Framework for Mining Arbitrarily Positioned Overlapping Co-clusters. - Omar Odibat; Chandan K. Reddy (SDM, 2011)

Multi-resolution boosting for classification and regression problems. - Chandan K. Reddy; Jin Hyeong Park (Knowl. Inf. Syst., 2011)

Label Space Transfer Learning. - Samir Al-Stouhi; Chandan K. Reddy; David E. Lanfear (ICTAI, 2012)

Exploiting Label Dependency for Hierarchical Multi-label Classification. - Noor Alaydie; Chandan K. Reddy; Farshad Fotouhi (PAKDD (1), 2012)

Query-based Biclustering using Formal Concept Analysis. - Faris Alqadah; Joel S. Bader; Rajul Anand; Chandan K. Reddy (SDM, 2012)

Tax Collections Optimization for New York State. - Gerard Miller; Melissa Weatherwax; Timothy Gardinier; Naoki Abe; Prem Melville; Cezar Pendus; David L. Jensen; Chandan K. Reddy; Vince P. Thomas; James J. Bennett; Gary F. Anderson; Brent R. Cooley (Interfaces, 2012)

Ranking differential Hubs in gene Co-Expression Networks. - Omar Odibat; Chandan K. Reddy (J. Bioinform. Comput. Biol., 2012)

Scalable and Parallel Boosting with MapReduce. - Indranil Palit; Chandan K. Reddy (IEEE Trans. Knowl. Data Eng., 2012)

Educational and Software Resources for Data Clustering. - Charu C. Aggarwal; Chandan K. Reddy (Data Clustering: Algorithms and Applications, 2013)

Clustering Biological Data. - Chandan K. Reddy; Mohammad Al Hasan; Mohammed J. Zaki (Data Clustering: Algorithms and Applications, 2013)

A Survey of Partitional and Hierarchical Clustering Algorithms. - Chandan K. Reddy; Bhanukiran Vinzamuri (Data Clustering: Algorithms and Applications, 2013)

Location-specific tweet detection and topic summarization in Twitter. - Vineeth Rakesh; Chandan K. Reddy; Dilpreet Singh; Ramachandran M. S. (ASONAM, 2013)

Cox Regression with Correlation Based Regularization for Electronic Health Records. - Bhanukiran Vinzamuri; Chandan K. Reddy (ICDM, 2013)

Big data analytics for healthcare. - Jimeng Sun 001; Chandan K. Reddy (KDD, 2013)

Systems analysis reveals a transcriptional reversal of the mesenchymal phenotype induced by SNAIL-inhibitor GN-25. - Asfar S. Azmi; Aliccia Bollig-Fischer; Bin Bao; Bum-Joon Park; Sun-Hye Lee; Gyu Yong-Song; Gregory Dyson; Chandan K. Reddy; Fazlul H. Sarkar; Ramzi M. Mohammad (BMC Syst. Biol., 2013)

Introduction to the special section on intelligent systems for health informatics. - Chandan K. Reddy; Cristopher C. Yang (ACM Trans. Intell. Syst. Technol., 2013)

UTOPIAN: User-Driven Topic Modeling Based on Interactive Nonnegative Matrix Factorization. - Jaegul Choo; Changhyun Lee; Chandan K. Reddy; Haesun Park (IEEE Trans. Vis. Comput. Graph., 2013)

Active Learning based Survival Regression for Censored Data. - Bhanukiran Vinzamuri; Yan Li 052; Chandan K. Reddy (CIKM, 2014)

Personalized Recommendation of Twitter Lists using Content and Network Information. - Vineeth Rakesh; Dilpreet Singh; Bhanukiran Vinzamuri; Chandan K. Reddy (ICWSM, 2014)

PIVE: Per-Iteration visualization environment for supporting real-time interactions with computational methods. - Jaegul Choo; Changhyun Lee; Hannah Kim 001; Hanseung Lee; Chandan K. Reddy; Barry L. Drake; Haesun Park (IEEE VAST, 2014)

Multi-Task Clustering using Constrained Symmetric Non-Negative Matrix Factorization. - Samir Al-Stouhi; Chandan K. Reddy (SDM, 2014)

Efficient mining of discriminative co-clusters from gene expression data. - Omar Odibat; Chandan K. Reddy (Knowl. Inf. Syst., 2014)

Clinical Decision Support Systems. - Martin Alther; Chandan K. Reddy (Healthcare Data Analytics, 2015)

Electronic Health Records: A Survey. - Rajiur Rahman; Chandan K. Reddy (Healthcare Data Analytics, 2015)

An Introduction to Healthcare Data Analytics. - Chandan K. Reddy; Charu C. Aggarwal (Healthcare Data Analytics, 2015)

A Review of Clinical Prediction Models. - Chandan K. Reddy; Yan Li 052 (Healthcare Data Analytics, 2015)

Geographical Latent Variable Models for Microblog Retrieval. - Alexander Kotov 001; Vineeth Rakesh; Eugene Agichtein; Chandan K. Reddy (ECIR, 2015)

Project Recommendation Using Heterogeneous Traits in Crowdfunding. - Vineeth Rakesh; Jaegul Choo; Chandan K. Reddy (ICWSM, 2015)

Simultaneous Discovery of Common and Discriminative Topics via Joint Nonnegative Matrix Factorization. - Hannah Kim 001; Jaegul Choo; Jingu Kim; Chandan K. Reddy; Haesun Park (KDD, 2015)

Weakly supervised nonnegative matrix factorization for user-driven clustering. - Jaegul Choo; Changhyun Lee; Chandan K. Reddy; Haesun Park (Data Min. Knowl. Discov., 2015)

Constrained elastic net based knowledge transfer for healthcare information exchange. - Yan Li 052; Bhanukiran Vinzamuri; Chandan K. Reddy (Data Min. Knowl. Discov., 2015)

Predicting gene functions from multiple biological sources using novel ensemble methods. - Chandan K. Reddy; Mohammad S. Aziz (Int. J. Data Min. Bioinform., 2015)

Doubly supervised embedding based on class labels and intrinsic clusters for high-dimensional data visualization. - Hannah Kim 001; Jaegul Choo; Chandan K. Reddy; Haesun Park (Neurocomputing, 2015)

A survey on platforms for big data analytics. - Dilpreet Singh; Chandan K. Reddy (J. Big Data, 2015)

Biclustering neighborhood-based collaborative filtering method for top-n recommender systems. - Faris Alqadah; Chandan K. Reddy; Junling Hu; Hatim F. Alqadah (Knowl. Inf. Syst., 2015)

Survival Analysis based Framework for Early Prediction of Student Dropouts. - Sattar Ameri; Mahtab Jahanbani Fard; Ratna Babu Chinnam; Chandan K. Reddy (CIKM, 2016)

CRISP: Consensus Regularized Selection based Prediction. - Ping Wang 024; Karthik K. Padthe; Bhanukiran Vinzamuri; Chandan K. Reddy (CIKM, 2016)

Transfer Learning for Survival Analysis via Efficient L2, 1-Norm Regularized Cox Regression. - Yan Li 052; Lu Wang 004; Jie Wang 005; Jieping Ye; Chandan K. Reddy (ICDM, 2016)

L-EnsNMF: Boosted Local Topic Discovery via Ensemble of Nonnegative Matrix Factorization. - Sangho Suh; Jaegul Choo; Joonseok Lee; Chandan K. Reddy (ICDM, 2016)

Feature Grouping Using Weighted l1 Norm for High-Dimensional Data. - Bhanukiran Vinzamuri; Karthik K. Padthe; Chandan K. Reddy (ICDM, 2016)

A Multi-Task Learning Formulation for Survival Analysis. - Yan Li 052; Jie Wang 005; Jieping Ye; Chandan K. Reddy (KDD, 2016)

Early-Stage Event Prediction for Longitudinal Data. - Mahtab Jahanbani Fard; Sanjay Chawla; Chandan K. Reddy (PAKDD (1), 2016)

Regularized Weighted Linear Regression for High-dimensional Censored Data. - Yan Li 052; Bhanukiran Vinzamuri; Chandan K. Reddy (SDM, 2016)

Regularized Parametric Regression for High-dimensional Survival Analysis. - Yan Li 052; Kevin S. Xu 001; Chandan K. Reddy (SDM, 2016)

Project Success Prediction in Crowdfunding Environments. - Yan Li 052; Vineeth Rakesh; Chandan K. Reddy (WSDM, 2016)

Probabilistic Group Recommendation Model for Crowdfunding Domains. - Vineeth Rakesh; Wang-Chien Lee; Chandan K. Reddy (WSDM, 2016)

Predicting Complications in Critical Care Using Heterogeneous Clinical Data. - Vijay Huddar; Bapu Koundinya Desiraju; Vaibhav Rajan; Sakyajit Bhattacharya; Shourya Roy; Chandan K. Reddy (IEEE Access, 2016)

A distributed ensemble approach for mining healthcare data under privacy constraints. - Yan Li 052; Changxin Bai; Chandan K. Reddy (Inf. Sci., 2016)

Transfer learning for class imbalance problems with inadequate data. - Samir Al-Stouhi; Chandan K. Reddy (Knowl. Inf. Syst., 2016)

RODS: Rarity based Outlier Detection in a Sparse Coding Framework. - Jayanta K. Dutta; Bonny Banerjee; Chandan K. Reddy (IEEE Trans. Knowl. Data Eng., 2016)

A Bayesian Perspective on Early Stage Event Prediction in Longitudinal Data. - Mahtab Jahanbani Fard; Ping Wang 024; Sanjay Chawla; Chandan K. Reddy (IEEE Trans. Knowl. Data Eng., 2016)

PIVE: Per-Iteration Visualization Environment for Real-Time Interactions with Dimension Reduction and Clustering. - Hannah Kim 001; Jaegul Choo; Changhyun Lee; Hanseung Lee; Chandan K. Reddy; Haesun Park (AAAI, 2017)

Prediction and imputation in irregularly sampled clinical time series data using hierarchical linear dynamical models. - Abhishek Sengupta; A. P. Prathosh; Satya Narayan Shukla; Vaibhav Rajan; Chandan K. Reddy (EMBC, 2017)

A Probabilistic Geographical Aspect-Opinion Model for Geo-Tagged Microblogs. - Aman Ahuja; Wei Wei 019; Wei Lu 011; Kathleen M. Carley; Chandan K. Reddy (ICDM, 2017)

How Fast Will You Get a Response? Predicting Interval Time for Reciprocal Link Creation. - Vachik S. Dave; Mohammad Al Hasan; Chandan K. Reddy (ICWSM, 2017)

Local Topic Discovery via Boosted Ensemble of Nonnegative Matrix Factorization. - Sangho Suh; Jaegul Choo; Joonseok Lee; Chandan K. Reddy (IJCAI, 2017)

Probabilistic Social Sequential Model for Tour Recommendation. - Vineeth Rakesh; Niranjan Jadhav; Alexander Kotov 001; Chandan K. Reddy (WSDM, 2017)

Pre-Processing Censored Survival Data Using Inverse Covariance Matrix Based Calibration. - Bhanukiran Vinzamuri; Yan Li 052; Chandan K. Reddy (IEEE Trans. Knowl. Data Eng., 2017)

Recurrent Spatio-Temporal Point Process for Check-in Time Prediction. - Guolei Yang; Ying Cai; Chandan K. Reddy (CIKM, 2018)

Social Media based Simulation Models for Understanding Disease Dynamics. - Ting Hua; Chandan K. Reddy; Lei Zhang 158; Lijing Wang 001; Liang Zhao 002; Chang-Tien Lu; Naren Ramakrishnan (IJCAI, 2018)

Spatio-Temporal Check-in Time Prediction with Recurrent Neural Network based Survival Analysis. - Guolei Yang; Ying Cai; Chandan K. Reddy (IJCAI, 2018)

STAPLE: Spatio-Temporal Precursor Learning for Event Forecasting. - Yue Ning 001; Rongrong Tao; Chandan K. Reddy; Huzefa Rangwala; James C. Starz; Naren Ramakrishnan (SDM, 2018)

A Sparse Topic Model for Extracting Aspect-Specific Summaries from Online Reviews. - Vineeth Rakesh; Weicong Ding; Aman Ahuja; Nikhil Rao 001; Yifan Sun 001; Chandan K. Reddy (WWW, 2018)

Short-Text Topic Modeling via Non-negative Matrix Factorization Enriched with Local Word-Context Correlations. - Tian Shi; Kyeongpil Kang; Jaegul Choo; Chandan K. Reddy (WWW, 2018)

DyLink2Vec: Effective Feature Representation for Link Prediction in Dynamic Networks. - Mahmudur Rahman; Tanay Kumar Saha; Mohammad Al Hasan; Kevin S. Xu 001; Chandan K. Reddy (CoRR, 2018)

Localized user-driven topic discovery via boosted ensemble of nonnegative matrix factorization. - Sangho Suh; Sungbok Shin; Joonseok Lee; Chandan K. Reddy; Jaegul Choo (Knowl. Inf. Syst., 2018)

Predicting interval time for reciprocal link creation using survival analysis. - Vachik S. Dave; Mohammad Al Hasan; Baichuan Zhang; Chandan K. Reddy (Soc. Netw. Anal. Min., 2018)

Adversarial Factorization Autoencoder for Look-alike Modeling. - Khoa D. Doan; Pranjul Yadav; Chandan K. Reddy (CIKM, 2019)

Document-Level Multi-Aspect Sentiment Classification for Online Reviews of Medical Experts. - Tian Shi; Vineeth Rakesh; Suhang Wang; Chandan K. Reddy (CIKM, 2019)

Active Learning Technique for Multimodal Brain Tumor Segmentation Using Limited Labeled Images. - Dhruv Sharma; Zahil Shanis; Chandan K. Reddy; Samuel Gerber; Andinet Enquobahrie (DART/MIL3ID@MICCAI, 2019)

LeafNATS: An Open-Source Toolkit and Live Demo System for Neural Abstractive Text Summarization. - Tian Shi; Ping Wang 024; Chandan K. Reddy (NAACL-HLT (Demonstrations), 2019)

Spatio-Temporal Event Detection from Multiple Data Sources. - Aman Ahuja; Ashish Baghudana; Wei Lu 011; Edward A. Fox; Chandan K. Reddy (PAKDD (1), 2019)

An Attentive Spatio-Temporal Neural Model for Successive Point of Interest Recommendation. - Khoa D. Doan; Guolei Yang; Chandan K. Reddy (PAKDD (3), 2019)

Deep Transfer Reinforcement Learning for Text Summarization. - Yaser Keneshloo; Naren Ramakrishnan; Chandan K. Reddy (SDM, 2019)

Discovering Product Defects and Solutions from Online User Generated Contents. - Xuan Zhang 005; Zhilei Qiao; Aman Ahuja; Weiguo Fan; Edward A. Fox; Chandan K. Reddy (WWW, 2019)

A Hierarchical Attention Retrieval Model for Healthcare Question Answering. - Ming Zhu; Aman Ahuja; Wei Wei 019; Chandan K. Reddy (WWW, 2019)

A Translate-Edit Model for Natural Language Question to SQL Query Generation on Multi-relational Healthcare Data. - Ping Wang 024; Tian Shi; Chandan K. Reddy (CoRR, 2019)

Machine Learning for Survival Analysis: A Survey. - Ping Wang 024; Yan Li 052; Chandan K. Reddy (ACM Comput. Surv., 2019)

LATTE: Latent Type Modeling for Biomedical Entity Linking. - Ming Zhu; Busra Celikkaya; Parminder Bhatia; Chandan K. Reddy (AAAI, 2020)

NoiseScope: Detecting Deepfake Images in a Blind Setting. - Jiameng Pu; Neal Mangaokar; Bolun Wang; Chandan K. Reddy; Bimal Viswanath (ACSAC, 2020)

Question Answering with Long Multiple-Span Answers. - Ming Zhu; Aman Ahuja; Da-Cheng Juan; Wei Wei 019; Chandan K. Reddy (EMNLP (Findings), 2020)

Jekyll: Attacking Medical Image Diagnostics using Deep Generative Models. - Neal Mangaokar; Jiameng Pu; Parantapa Bhattacharya; Chandan K. Reddy; Bimal Viswanath (EuroS&P, 2020)

Language-Agnostic Representation Learning for Product Search on E-Commerce Platforms. - Aman Ahuja; Nikhil Rao 001; Sumeet Katariya; Karthik Subbian; Chandan K. Reddy (WSDM, 2020)

Efficient Implicit Unsupervised Text Hashing using Adversarial Autoencoder. - Khoa D. Doan; Chandan K. Reddy (WWW, 2020)

Text-to-SQL Generation for Question Answering on Electronic Medical Records. - Ping Wang 024; Tian Shi; Chandan K. Reddy (WWW, 2020)

Image Hashing by Minimizing Independent Relaxed Wasserstein Distance. - Khoa D. Doan; Amir Kimiyaie; Saurav Manchanda; Chandan K. Reddy (CoRR, 2020)

Image Generation Via Minimizing Fréchet Distance in Discriminator Feature Space. - Khoa D. Doan; Saurav Manchanda; Fengjiao Wang; S. Sathiya Keerthi; Avradeep Bhowmik; Chandan K. Reddy (CoRR, 2020)

A Concept-based Abstraction-Aggregation Deep Neural Network for Interpretable Document Classification. - Tian Shi; Xuchao Zhang; Ping Wang 024; Chandan K. Reddy (CoRR, 2020)

Deliberate Self-Attention Network with Uncertainty Estimation for Multi-Aspect Review Rating Prediction. - Tian Shi; Ping Wang 024; Chandan K. Reddy (CoRR, 2020)

Probabilistic Topic Modeling for Comparative Analysis of Document Collections. - Ting Hua; Chang-Tien Lu; Jaegul Choo; Chandan K. Reddy (ACM Trans. Knowl. Discov. Data, 2020)

Semi-Supervised Deep Learning Approach for Transportation Mode Identification Using GPS Trajectory Data. - Sina Dabiri; Chang-Tien Lu; Kevin P. Heaslip; Chandan K. Reddy (IEEE Trans. Knowl. Data Eng., 2020)

Deep Reinforcement Learning for Sequence-to-Sequence Models. - Yaser Keneshloo; Tian Shi; Naren Ramakrishnan; Chandan K. Reddy (IEEE Trans. Neural Networks Learn. Syst., 2020)

A Simple and Effective Self-Supervised Contrastive Learning Framework for Aspect Detection. - Tian Shi; Liuqing Li; Ping Wang 024; Chandan K. Reddy (AAAI, 2021)

Tracking the Evolution of COVID-19 via Temporal Comorbidity Analysis from Multi-Modal Data. - Sutanay Choudhury; Khushbu Agarwal; Colby Ham; Pritam Mukherjee; Siyi Tang; Sindhu Tipirneni; Veysel Kocaman; Suzanne Tamang; Robert Rallo; Chandan K. Reddy (AMIA, 2021)

Recurrent Neural Network based Time-Series Modeling for Long-term Prognosis Following Acute Traumatic Brain Injury. - Amin Nayebi; Sindhu Tipirneni; Brandon Foreman; Jonathan J. Ratcliff; Chandan K. Reddy; Vignesh Subbian (AMIA, 2021)

Collaborative Graph Learning with Auxiliary Text for Temporal Event Prediction in Healthcare. - Chang Lu; Chandan K. Reddy; Prithwish Chakraborty; Samantha Kleinberg; Yue Ning 001 (IJCAI, 2021)

Workshop on Data-Efficient Machine Learning (DeMaL). - Sumeet Katariya; Nikhil Rao 001; Chandan K. Reddy (KDD, 2021)

Probabilistic Entity Representation Model for Reasoning over Knowledge Graphs. - Nurendra Choudhary; Nikhil Rao 001; Sumeet Katariya; Karthik Subbian; Chandan K. Reddy (NeurIPS, 2021)

Interpretable Graph Similarity Computation via Differentiable Optimal Alignment of Node Embeddings. - Khoa D. Doan; Saurav Manchanda; Suchismit Mahapatra; Chandan K. Reddy (SIGIR, 2021)

T-Miner: A Generative Approach to Defend Against Trojan Attacks on DNN-based Text Classification. - Ahmadreza Azizi; Ibrahim Asadullah Tahmid; Asim Waheed; Neal Mangaokar; Jiameng Pu; Mobin Javed; Chandan K. Reddy; Bimal Viswanath (USENIX Security Symposium, 2021)

Self-Supervised Hyperboloid Representations from Logical Queries over Knowledge Graphs. - Nurendra Choudhary; Nikhil Rao 001; Sumeet Katariya; Karthik Subbian; Chandan K. Reddy (WWW, 2021)

Self-Supervised Learning of Contextual Embeddings for Link Prediction in Heterogeneous Networks. - Ping Wang 024; Khushbu Agarwal; Colby Ham; Sutanay Choudhury; Chandan K. Reddy (WWW, 2021)

Self-supervised Transformer for Multivariate Clinical Time-Series with Missing Values. - Sindhu Tipirneni; Chandan K. Reddy (CoRR, 2021)

Fair Representation Learning using Interpolation Enabled Disentanglement. - Akshita Jha; Bhanukiran Vinzamuri; Chandan K. Reddy (CoRR, 2021)

Supervised Contrastive Learning for Interpretable Long Document Comparison. - Akshita Jha; Vineeth Rakesh; Jaideep Chandrashekar; Adithya Samavedhi; Chandan K. Reddy (CoRR, 2021)

Neural Abstractive Text Summarization with Sequence-to-Sequence Models. - Tian Shi; Yaser Keneshloo; Naren Ramakrishnan; Chandan K. Reddy (Trans. Data Sci., 2021)

A Novel Tensor-Based Temporal Multi-Task Survival Analysis Model. - Ping Wang 024; Tian Shi; Chandan K. Reddy (IEEE Trans. Knowl. Data Eng., 2021)

Multilingual Code Snippets Training for Program Translation. - Ming Zhu; Karthik Suresh 003; Chandan K. Reddy (AAAI, 2022)

Unified Energy-Based Generative Network for Supervised Image Hashing. - Khoa D. Doan; Sarkhan Badirli; Chandan K. Reddy (ACCV (6), 2022)

An Empirical Comparison of Explainable Artificial Intelligence Methods for Clinical Data: A Case Study on Traumatic Brain Injury. - Amin Nayebi; Sindhu Tipirneni; Brandon Foreman; Chandan K. Reddy; Vignesh Subbian (AMIA, 2022)

Attention-based aspect reasoning for knowledge base question answering on clinical notes. - Ping Wang 024; Tian Shi; Khushbu Agarwal; Sutanay Choudhury; Chandan K. Reddy (BCB, 2022)

Graph-based Multilingual Language Model: Leveraging Product Relations for Search Relevance. - Nurendra Choudhary; Nikhil Rao 001; Karthik Subbian; Chandan K. Reddy (KDD, 2022)

Hyperbolic Neural Networks: Theory, Architectures and Applications. - Nurendra Choudhary; Nikhil Rao 001; Karthik Subbian; Srinivasan H. Sengamedu; Chandan K. Reddy (KDD, 2022)

ANTHEM: Attentive Hyperbolic Entity Model for Product Search. - Nurendra Choudhary; Nikhil Rao 001; Sumeet Katariya; Karthik Subbian; Chandan K. Reddy (WSDM, 2022)

Accepted Tutorials at The Web Conference 2022. - Riccardo Tommasini 001; Senjuti Basu Roy; Xuan Wang 008; Hongwei Wang; Heng Ji; Jiawei Han 001; Preslav Nakov; Giovanni Da San Martino; Firoj Alam; Markus Schedl; Elisabeth Lex; Akash Bharadwaj; et al. (WWW (Companion Volume), 2022)

GraphZoo: A Development Toolkit for Graph Neural Networks with Hyperbolic Geometries. - Anoushka Vyas; Nurendra Choudhary; Mehrdad Khatir; Chandan K. Reddy (WWW (Companion Volume), 2022)

Multi-Label Clinical Time-Series Generation via Conditional GAN. - Chang Lu; Chandan K. Reddy; Ping Wang; Dong Nie; Yue Ning 001 (CoRR, 2022)

Towards Scalable Hyperbolic Neural Networks using Taylor Series Approximations. - Nurendra Choudhary; Chandan K. Reddy (CoRR, 2022)

Pseudo-Poincaré: A Unification Framework for Euclidean and Hyperbolic Graph Neural Networks. - Mehrdad Khatir; Nurendra Choudhary; Sutanay Choudhury; Khushbu Agarwal; Chandan K. Reddy (CoRR, 2022)

Shopping Queries Dataset: A Large-Scale ESCI Benchmark for Improving Product Search. - Chandan K. Reddy; Lluís Màrquez; Fran Valero; Nikhil Rao 001; Hugo Zaragoza; Sambaran Bandyopadhyay; Arnab Biswas; Anlu Xing; Karthik Subbian (CoRR, 2022)

XLCoST: A Benchmark Dataset for Cross-lingual Code Intelligence. - Ming Zhu; Aneesh Jain; Karthik Suresh 003; Roshan Ravindran; Sindhu Tipirneni; Chandan K. Reddy (CoRR, 2022)

Text Enriched Sparse Hyperbolic Graph Convolutional Networks. - Nurendra Choudhary; Nikhil Rao 001; Karthik Subbian; Chandan K. Reddy (CoRR, 2022)

Differentially private synthetic medical data generation using convolutional GANs. - Amirsina Torfi; Edward A. Fox; Chandan K. Reddy (Inf. Sci., 2022)

Self-supervised Short-text Modeling through Auxiliary Context Generation. - Nurendra Choudhary; Charu C. Aggarwal; Karthik Subbian; Chandan K. Reddy (ACM Trans. Intell. Syst. Technol., 2022)

Corpus-level and Concept-based Explanations for Interpretable Document Classification. - Tian Shi; Xuchao Zhang; Ping Wang 024; Chandan K. Reddy (ACM Trans. Knowl. Discov. Data, 2022)

Self-Supervised Transformer for Sparse and Irregularly Sampled Multivariate Clinical Time-Series. - Sindhu Tipirneni; Chandan K. Reddy (ACM Trans. Knowl. Discov. Data, 2022)

CodeAttack: Code-Based Adversarial Attacks for Pre-trained Programming Language Models. - Akshita Jha; Chandan K. Reddy (AAAI, 2023)

SeeGULL: A Stereotype Benchmark with Broad Geo-Cultural Coverage Leveraging Generative Models. - Akshita Jha; Aida Mostafazadeh Davani; Chandan K. Reddy; Shachi Dave; Vinodkumar Prabhakaran; Sunipa Dev (ACL (1), 2023)

Transformer-based Models for Long-Form Document Matching: Challenges and Empirical Analysis. - Akshita Jha; Adithya Samavedhi; Vineeth Rakesh; Jaideep Chandrashekar; Chandan K. Reddy (EACL (Findings), 2023)

A Unification Framework for Euclidean and Hyperbolic Graph Neural Networks. - Mehrdad Khatir; Nurendra Choudhary; Sutanay Choudhury; Khushbu Agarwal; Chandan K. Reddy (IJCAI, 2023)

International Workshop on Multimodal Learning - 2023 Theme: Multimodal Learning with Foundation Models. - Yuan Ling; Fanyou Wu; Shujing Dong; Yarong Feng; George Karypis; Chandan K. Reddy (KDD, 2023)

Hyperbolic Graph Neural Networks at Scale: A Meta Learning Approach. - Nurendra Choudhary; Nikhil Rao 001; Chandan K. Reddy (NeurIPS, 2023)

Towards Semi-Structured Automatic ICD Coding via Tree-based Contrastive Learning. - Chang Lu; Chandan K. Reddy; Ping Wang; Yue Ning 001 (NeurIPS, 2023)

Transformer-based Planning for Symbolic Regression. - Parshin Shojaee; Kazem Meidani; Amir Barati Farimani; Chandan K. Reddy (NeurIPS, 2023)

Execution-based Code Generation using Deep Reinforcement Learning. - Parshin Shojaee; Aneesh Jain; Sindhu Tipirneni; Chandan K. Reddy (CoRR, 2023)

A Self-Supervised Learning-based Approach to Clustering Multivariate Time-Series Data with Missing Values (SLAC-Time): An Application to Traumatic Brain Injury Phenotyping. - Hamid Ghaderi; Brandon Foreman; Amin Nayebi; Sindhu Tipirneni; Chandan K. Reddy; Vignesh Subbian (CoRR, 2023)

Identifying TBI Physiological States by Clustering of Multivariate Clinical Time-Series. - Hamid Ghaderi; Brandon Foreman; Amin Nayebi; Sindhu Tipirneni; Chandan K. Reddy; Vignesh Subbian (CoRR, 2023)

Complex Logical Reasoning over Knowledge Graphs using Large Language Models. - Nurendra Choudhary; Chandan K. Reddy (CoRR, 2023)

SNIP: Bridging Mathematical Symbolic and Numeric Realms with Unified Pre-training. - Kazem Meidani; Parshin Shojaee; Chandan K. Reddy; Amir Barati Farimani (CoRR, 2023)

A self-supervised learning-based approach to clustering multivariate time-series data with missing values (SLAC-Time): An application to TBI phenotyping. - Hamid Ghaderi; Brandon Foreman; Amin Nayebi; Sindhu Tipirneni; Chandan K. Reddy; Vignesh Subbian (J. Biomed. Informatics, 2023)

Graph-based Multi-ODE Neural Networks for Spatio-Temporal Traffic Forecasting. - Zibo Liu; Parshin Shojaee; Chandan K. Reddy (Trans. Mach. Learn. Res., 2023)

Supervised Contrastive Learning for Interpretable Long-Form Document Matching. - Akshita Jha; Vineeth Rakesh; Jaideep Chandrashekar; Adithya Samavedhi; Chandan K. Reddy (ACM Trans. Knowl. Discov. Data, 2023)

Self-Supervised Graph Learning With Hyperbolic Embedding for Temporal Health Event Prediction. - Chang Lu; Chandan K. Reddy; Yue Ning 001 (IEEE Trans. Cybern., 2023)

WindowSHAP: An efficient framework for explaining time-series classifiers based on Shapley values. - Amin Nayebi; Sindhu Tipirneni; Chandan K. Reddy; Brandon Foreman; Vignesh Subbian (J. Biomed. Informatics, 2023)

An Interpretable Ensemble of Graph and Language Models for Improving Search Relevance in E-Commerce. - Nurendra Choudhary; Edward W. Huang; Karthik Subbian; Chandan K. Reddy (WWW (Companion Volume), 2024)

Beyond the Surface: A Global-Scale Analysis of Visual Stereotypes in Text-to-Image Generation. - Akshita Jha; Vinodkumar Prabhakaran; Remi Denton; Sarah Laszlo; Shachi Dave; Rida Qadri; Chandan K. Reddy; Sunipa Dev (CoRR, 2024)

Discovery of Generalizable TBI Phenotypes Using Multivariate Time-Series Clustering. - Hamid Ghaderi; Brandon Foreman; Chandan K. Reddy; Vignesh Subbian (CoRR, 2024)

LLM-SR: Scientific Equation Discovery via Programming with Large Language Models. - Parshin Shojaee; Kazem Meidani; Shashank Gupta; Amir Barati Farimani; Chandan K. Reddy (CoRR, 2024)

Context-Aware Clustering using Large Language Models. - Sindhu Tipirneni; Ravinarayana Adkathimar; Nurendra Choudhary; Gaurush Hiranandani; Rana Ali Amjad; Vassilis N. Ioannidis; Changhe Yuan; Chandan K. Reddy (CoRR, 2024)

Evolutionary Large Language Model for Automated Feature Transformation. - Nanxu Gong; Chandan K. Reddy; Wangyang Ying; Yanjie Fu (CoRR, 2024)

Synthesizing Conversations from Unlabeled Documents using Automatic Response Segmentation. - Fanyou Wu; Weijie Xu; Chandan K. Reddy; Srinivasan H. Sengamedu (CoRR, 2024)

Concept Formation and Alignment in Language Models: Bridging Statistical Patterns in Latent Space to Concept Taxonomy. - Mehrdad Khatir; Chandan K. Reddy (CoRR, 2024)

StructCoder: Structure-Aware Transformer for Code Generation. - Sindhu Tipirneni; Ming Zhu; Chandan K. Reddy (ACM Trans. Knowl. Discov. Data, 2024)

Multi-Label Clinical Time-Series Generation via Conditional GAN. - Chang Lu; Chandan K. Reddy; Ping Wang 024; Dong Nie; Yue Ning 001 (IEEE Trans. Knowl. Data Eng., 2024)