Publications

Publications authored with Chandan Reddy

New! Hyperbolic Graph Neural Networks at Scale: A Meta Learning Approach

Nurendra Choudhary, Chandan Reddy
In Cornell University, : , 10/2023
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New! Towards Semi-Structured Automatic ICD Coding via Tree-based Contrastive Learning

Chandan Reddy, Ping Wang, Yue Ning
In Cornell University, : , 10/2023
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New! SNIP: Bridging Mathematical Symbolic and Numeric Realms with Unified Pre-training

Chandan Reddy
In Cornell University, : , 10/2023
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New! Complex Logical Reasoning over Knowledge Graphs using Large Language Models

Nurendra Choudhary, Chandan Reddy
In Cornell University, : , 05/2023
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New! Identifying TBI Physiological States by Clustering of Multivariate Clinical Time-Series

Sindu Tipirneni, Chandan Reddy
In Cornell University, : , 07/2023
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New! Transformer-based Planning for Symbolic Regression

Chandan Reddy
In Cornell University, : , 10/2023
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New! A Self-Supervised Learning-based Approach to Clustering Multivariate Time-Series Data with Missing Values (SLAC-Time): An Application to Traumatic Brain Injury Phenotyping

Chandan Reddy, Sindu Tipirneni
In Cornell University, : , 05/2023
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New! Execution-based Code Generation using Deep Reinforcement Learning

Aneesh Jain, Sindu Tipirneni, Chandan Reddy
In Cornell University, : , 07/2023
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New! International Workshop on Multimodal Learning – 2023 Theme: Multimodal Learning with Foundation Models

Chandan Reddy
In Proceedings of the ACM Transactions on Knowledge Discovery and Data Mining, (pp 5868-5869), 08/2023
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New! Transformer-based Models for Long-Form Document Matching: Challenges and Empirical Analysis

Akshita Jha, Chandan Reddy
In Proceedings of the Association for Computational Linguistics, (pp 2300-2310), 05/2023
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New! SeeGULL: A Stereotype Benchmark with Broad Geo-Cultural Coverage Leveraging Generative Models

Akshita Jha, Chandan Reddy
In Proceedings of the Association for Computational Linguistics, (pp 9851-9870), 07/2023
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New! Graph-based Multi-ODE Neural Networks for Spatio-Temporal Traffic Forecasting

Chandan Reddy
In Transactions on Machine Learning Research, : , 05/2023
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New! Supervised Contrastive Learning for Interpretable Long-Form Document Matching

Akshita Jha, Chandan Reddy
In ACM Transactions on Knowledge Discovery from Data, 17 2: 1-17, 02/2023
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New! A self-supervised learning-based approach to clustering multivariate time-series data with missing values (SLAC-Time): An application to TBI phenotyping

Chandan Reddy, Sindu Tipirneni
In Journal of Bioinformatics and Computational Biology, 143 : , 05/2023
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New! Self-Supervised Transformer for Sparse and Irregularly Sampled Multivariate Clinical Time-Series

Sindu Tipirneni, Chandan Reddy
In ACM Transactions on Knowledge Discovery from Data (TKDD), 16 6: 1-17, 07/2022
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New! Multilingual Code Snippets Training for Program Translation

Ming Zhu, Chandan Reddy
In Proceedings of the 10th AAAI Conference on Artificial Intelligence, (pp 11783-11790), 06/2022
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New! Unified Energy-Based Generative Network for Supervised Image Hashing

Chandan Reddy, Khoa Doan
In Proceedings of the Asian Conference on Computer Vision, (pp 527-543), 02/2023
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New! Graph-based Multilingual Language Model: Leveraging Product Relations for Search Relevance

Chandan Reddy
In Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, (pp 2789-2799), 08/2022
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New! Hyperbolic Neural Networks: Theory, Architectures and Applications

Nurendra Choudhary, Chandan Reddy
In Proceedings of the ACM Transactions on Knowledge Discovery and Data Mining, (pp 4778-4779), 08/2022
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New! GraphZoo: A Development Toolkit for Graph Neural Networks with Hyperbolic Geometries

Chandan Reddy, Nurendra Choudhary
In Proceedings of the WWW: International World Wide Web Conference, (pp 184-188), 08/2022
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New! An Empirical Comparison of Explainable Artificial Intelligence Methods for Clinical Data: A Case Study on Traumatic Brain Injury

Sindu Tipirneni, Chandan Reddy
In Cornell University, : , 08/2022
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New! WindowSHAP: An Efficient Framework for Explaining Time-series Classifiers based on Shapley Values

Chandan Reddy, Sindu Tipirneni
In Cornell University, : , 05/2023
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New! Probabilistic Entity Representation Model for Reasoning over Knowledge Graphs

Chandan Reddy, Nikhil Muralidhar
In Cornell University, : , 10/2021
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New! Text Enriched Sparse Hyperbolic Graph Convolutional Networks

Nurendra Choudhary, Chandan Reddy
In Cornell University, : , 07/2022
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New! XLCoST: A Benchmark Dataset for Cross-lingual Code Intelligence

Ming Zhu, Aneesh Jain, Chandan Reddy
In Cornell University, : , 06/2022
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New! Shopping Queries Dataset: A Large-Scale ESCI Benchmark for Improving Product Search

Chandan Reddy
In Cornell University, : , 06/2022
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New! StructCoder: Structure-Aware Transformer for Code Generation

Sindu Tipirneni, Ming Zhu, Chandan Reddy
In Cornell University, : , 06/2022
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New! Pseudo-Poincaré: A Unification Framework for Euclidean and Hyperbolic Graph Neural Networks

Nurendra Choudhary, Chandan Reddy
In Cornell University, : , 06/2022
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New! Towards Scalable Hyperbolic Neural Networks using Taylor Series Approximations

Nurendra Choudhary, Chandan Reddy
In Cornell University, : , 06/2022
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New! CodeAttack: Code-based Adversarial Attacks for Pre-Trained Programming Language Models

Akshita Jha, Chandan Reddy
In Cornell University, : , 05/2022
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New! Multilingual Code Snippets Training for Program Translation

Ming Zhu, Chandan Reddy
In Proceedings of the 10th AAAI Conference on Artificial Intelligence, (pp 11783-11790), 06/2022
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New! Self-supervised Short-text Modeling through Auxiliary Context Generation

Nurendra Choudhary, Chandan Reddy
In ACM Transactions on Intelligent Systems and Technology, 13 3: 1-21, 04/2022
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New! Multi-Label Clinical Time-Series Generation via Conditional GAN

Chandan Reddy, Ping Wang, Yue Ning
In Cornell University, : , 04/2022
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New! ANTHEM: Attentive Hyperbolic Entity Model for Product Search

Chandan Reddy
In Proceedings of the ACM International Conference on Web Search and Data Mining, (pp 161-171), 02/2022
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New! Aura: Privacy-preserving augmentation to improve test set diversity in noise suppression applications

Chandan Reddy
In Cornell University, : , 10/2021
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New! Supervised Contrastive Learning for Interpretable Long Document Comparison

Akshita Jha, Chandan Reddy
In Cornell University, : , 08/2021
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New! Attention-based Aspect Reasoning for Knowledge Base Question Answering on Clinical Notes

Ping Wang, Tian Shi, Chandan Reddy
In Cornell University, : , 08/2021
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New! Fair Representation Learning using Interpolation Enabled Disentanglement

Akshita Jha, Chandan Reddy
In Cornell University, : , 07/2021
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New! Self-supervised Transformer for Multivariate Clinical Time-Series with Missing Values

Chandan Reddy
In Cornell University, : , 07/2021
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New! Workshop on Data-Efficient Machine Learning (DeMaL)

Chandan Reddy
In Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, (pp 4135–4136), 08/2021
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New! A Novel Tensor-Based Temporal Multi-Task Survival Analysis Model

Ping Wang, Tian Shi, Chandan Reddy
In IEEE Transactions on Knowledge and Data Engineering, 33 9: 3311-3322, 01/2020
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New! Deliberate Self-Attention Network with Uncertainty Estimation for Multi-Aspect Review Rating Prediction

Tian Shi, Ping Wang, Chandan Reddy
In Cornell University, : , 05/2021
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New! Corpus-level and Concept-based Explanations for Interpretable Document Classification

Tian Shi, Xuchao Zhang, Ping Wang, Chandan Reddy
In Cornell University, : , 05/2021
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New! Image Generation Via Minimizing Fréchet Distance in Discriminator Feature Space

Khoa Doan, Chandan Reddy
In Cornell University, : , 03/2020
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New! Image Hashing by Minimizing Discrete Component-wise Wasserstein Distance

Khoa Doan, Chandan Reddy
In Cornell University, : , 05/2020
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New! Efficient Implicit Unsupervised Text Hashing using Adversarial Autoencoder

Khoa Doan, Chandan Reddy
In Proceedings of the World Wide Web conference, (pp 684-694), 04/2020
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New! Question Answering with Long Multiple-Span Answers

Ming Zhu, Aman Ahuja, Chandan Reddy
In Proceedings of the Empirical Methods in Natural Language Processing, (pp 3840-3849),
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New! NoiseScope: Detecting Deepfake Images in a Blind Setting

Chandan Reddy
In Proceedings of the Annual Computer Security Applications, (pp 913–927), 12/2020
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New! Probabilistic Topic Modeling for Comparative Analysis of Document Collections

Ting Hua, Chandan Reddy
In ACM Transactions on Knowledge Discovery from Data (TKDD), 14 2: 1-27, 03/2020
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Self-Supervised Graph Learning with Hyperbolic Embedding for Temporal Health Event Prediction

Chandan Reddy, Yue Ning
In Cornell University, : , 06/2021
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Collaborative Graph Learning with Auxiliary Text for Temporal Event Prediction in Healthcare

Chandan Reddy, Prithwish Chakraborty, Yue Ning
In Cornell University, : , 05/2021
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New! Jekyll: Attacking Medical Image Diagnostics using Deep Generative Models

Chandan Reddy
In Cornell University, : , 04/2021
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New! T-Miner: A Generative Approach to Defend Against Trojan Attacks on DNN-based Text Classification

Chandan Reddy
In Cornell University, : , 03/2021
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New! Self-Supervised Learning of Contextual Embeddings for Link Prediction in Heterogeneous Networks

Ping Wang, Chandan Reddy
In Proceedings of the World Wide Web conference, (pp 2946-2957), 04/2021
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New! Self-Supervised Hyperboloid Representations from Logical Queries over Knowledge Graphs

Nurendra Choudhary, Chandan Reddy
In Proceedings of the World Wide Web conference, (pp 1373-1384), 04/2021
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New! Interpretable Graph Similarity Computation via Differentiable Optimal Alignment of Node Embeddings

Khoa Doan, Chandan Reddy
In Proceedings of the ACM SIGIR conference on Research and Development in Information Retrieval, (pp 665-674), 07/2021
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New! A Simple and Effective Self-Supervised Contrastive Learning Framework for Aspect Detection

Tian Shi, Liuqing Li, Ping Wang, Chandan Reddy
In Proceedings of the 15th AAAI Conference on Artificial Intelligence, (pp 13815-13824), 05/2021
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New! Semi-Supervised Deep Learning Approach for Transportation Mode Identification Using GPS Trajectory Data

Chandan Reddy
In IEEE Transactions on Knowledge and Data Engineering, 32 5: 1010-1023, 05/2020
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New! Probabilistic Topic Modeling for Comparative Analysis of Document Collections

Chandan Reddy
In ACM Transactions on Knowledge Discovery from Data (TKDD), 14 2: 1-27, 03/2020
Citatations: BibTeX

New! Deep Reinforcement Learning for Sequence-to-Sequence Models

Yaser Keneshloo, Tian Shi, Naren Ramakrishnan, Chandan Reddy
In IEEE Transactions on Neural Networks and Learning Systems, 31 7: 2469-2489, 08/2019
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New! Text-to-SQL Generation for Question Answering on Electronic Medical Records

Ping Wang, Tian Shi, Chandan Reddy
In Cornell University, : , 01/2020
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New! Discovering Product Defects and Solutions from Online User Generated Contents

Aman Ahuja, Edward Fox, Chandan Reddy
In Proceedings of the World Wide Web conference, (pp 3441–3447), 05/2019
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New! Spatio-Temporal Event Detection from Multiple Data Sources

Aman Ahuja, Edward Fox, Chandan Reddy
In Proceedings of the Pacific-Asia Conference on Knowledge Discovery and Data Mining, (pp 293-305), 03/2019
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New! Language-Agnostic Representation Learning for Product Search on E-Commerce Platforms

Aman Ahuja, Chandan Reddy
In Proceedings of the Web Search and Data Mining, (pp 7-15), 01/2020
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New! Image Hashing by Minimizing Discrete Component-wise Wasserstein Distance

Khoa Doan, Chandan Reddy
In Cornell University, : , 05/2020
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New! Document-Level Multi-Aspect Sentiment Classification for Online Reviews of Medical Experts

Tian Shi, Chandan Reddy
In Proceedings of the ACM International Conference on Information and Knowledge Management, (pp 2723–2731), 11/2019
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New! Adversarial Factorization Autoencoder for Look-alike Modeling

Khoa Doan, Chandan Reddy
In Proceedings of the ACM International Conference on Information and Knowledge Management, (pp 2803–2812), 11/2019
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New! Active Learning Technique for Multimodal Brain Tumor Segmentation Using Limited Labeled Images

Dhruv Sharma, Chandan Reddy
In Proceedings of the MICCAI Workshop on Domain Adaptation and Representation Transfer, (pp 148-156), 10/2019
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New! LeafNATS: An Open-Source Toolkit and Live Demo System for Neural Abstractive Text Summarization

Tian Shi, Ping Wang, Chandan Reddy
In Cornell University, : , 05/2019
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New! An Attentive Spatio-Temporal Neural Model for Successive Point of Interest Recommendation

Khoa Doan, Chandan Reddy
In Proceedings of the Pacific-Asia Conference on Knowledge Discovery and Data Mining, (pp 346-358), 03/2019
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New! Deep Transfer Reinforcement Learning for Text Summarization

Yaser Keneshloo, Naren Ramakrishnan, Chandan Reddy
In Proceedings of the SIAM International Conference on Data Mining, (pp 675-683),
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New! A Hierarchical Attention Retrieval Model for Healthcare Question Answering

Ming Zhu, Aman Ahuja, Chandan Reddy
In Proceedings of the World Wide Web conference, (pp 2472–2482), 05/2019
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New! LATTE: Latent Type Modeling for Biomedical Entity Linking

Chandan Reddy, Ming Zhu
In Cornell University, : , 11/2019
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New! Predicting interval time for reciprocal link creation using survival analysis

Chandan Reddy
In Social Network Analysis and Mining, 8 16: 1-20, 03/2018
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New! Recurrent Spatio-Temporal Point Process for Check-in Time Prediction

Chandan Reddy
In Proceedings of the CIKM, (pp 2203–2211), 10/2018
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New! Spatio-Temporal Check-in Time Prediction with Recurrent Neural Network based Survival Analysis

Chandan Reddy
In Proceedings of the International Joint Conference on Artificial Intelligence, (pp 2976-2983),
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New! Short-Text Topic Modeling via Non-negative Matrix Factorization Enriched with Local Word-Context Correlations

Tian Shi, Chandan Reddy
In Proceedings of the World Wide Web conference, (pp 1105-1114), 04/2018
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New! A Sparse Topic Model for Extracting Aspect-Specific Summaries from Online Reviews

Aman Ahuja, Chandan Reddy
In Proceedings of the World Wide Web conference, (pp 1573-1582), 04/2018
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New! DyLink2Vec: Effective Feature Representation for Link Prediction in Dynamic Networks

Chandan Reddy
In Cornell University, : , 04/2018
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New! Social Media based Simulation Models for Understanding Disease Dynamics

Ting Hua, Chandan Reddy, Lei Zhang, Liang Zhao, Naren Ramakrishnan
In Proceedings of the International Joint Conference on Artificial Intelligence, (pp 3797-3804),
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New! STAPLE: Spatio-Temporal Precursor Learning for Event Forecasting

Yue Ning, Rongrong Tao, Chandan Reddy, Naren Ramakrishnan
In Proceedings of the SIAM International Conference on Data Mining, (pp 99-107),
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New! Deep Reinforcement Learning For Sequence to Sequence Models

Yaser Keneshloo, Tian Shi, Naren Ramakrishnan, Chandan Reddy
In Cornell University, : , 05/2018
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New! Neural Abstractive Text Summarization with Sequence-to-Sequence Models

Tian Shi, Yaser Keneshloo, Naren Ramakrishnan, Chandan Reddy
In Cornell University, : , 12/2018
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New! Modeling the conflicting demands of parallelism and Temporal/Spatial locality in affine scheduling

Chandan Reddy
In Proceedings of the International Conference on Compiler Construction, (pp 3-13), 02/2018
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New! An Individualized Super-Gaussian Single Microphone Speech Enhancement for Hearing Aid Users With Smartphone as an Assistive Device

Chandan Reddy
In IEEE Signal Processing Letters, 24 11: 1601-1605, 09/2017
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New! Pre-Processing Censored Survival Data Using Inverse Covariance Matrix Based Calibration

Chandan Reddy
In IEEE Transactions on Knowledge and Data Engineering, 29 10: 2111-2124, 06/2017
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New! Prediction and imputation in irregularly sampled clinical time series data using hierarchical linear dynamical models

Chandan Reddy
In Proceedings of the IEEE Engineering in Medicine and Biology Society, (pp 3660-3663), 09/2017
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New! ICA based single microphone Blind Speech Separation technique using non-linear estimation of speech

Chandan Reddy
In Proceedings of the IEEE (ICASSP), (pp 5570-5574), 06/2017
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New! A Probabilistic Geographical Aspect-Opinion Model for Geo-Tagged Microblogs

Aman Ahuja, Chandan Reddy
In Proceedings of the IEEE International Conference on Data Mining, (pp 721-726), 12/2017
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New! How Fast Will You Get a Response? Predicting Interval Time for Reciprocal Link Creation

Chandan Reddy
In Proceedings of the AAAI Conference on Web and Social Media, (pp 508-511),
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New! Probabilistic Social Sequential Model for Tour Recommendation

Chandan Reddy
In Proceedings of the ACM International Conference on Web Search and Data Mining, (pp 631-640), 02/2017
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New! Machine Learning for Survival Analysis: A Survey

Ping Wang, Chandan Reddy
In Cornell University, : , 08/2017
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Simultaneous Discovery of Common and Discriminative Topics via Joint Nonnegative Matrix Factorization

Chandan Reddy
In Proceedings of the ACM ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, (pp ), 08/2015
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Project Recommendation Using Heterogeneous Traits in Crowdfunding

Chandan Reddy
In Proceedings of the AAAI AAAI Conference on Web and Social Media, (pp ), 05/2015
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Geographical Latent Variable Models for Microblog Retrieval

Chandan Reddy
In Proceedings of the European Conference on Information Retrieval, (pp ), 03/2015
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Biclustering neighborhood-based collaborative filtering method for top-n recommender systems

Chandan Reddy
In Knowledge and Information Systems, 44 2: 475-491, 08/2015
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Doubly supervised embedding based on class labels and intrinsic clusters for high-dimensional data visualization

Chandan Reddy
In Neurocomputing, 150 : 570-582, 02/2015
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Predicting gene functions from multiple biological sources using novel ensemble methods

Chandan Reddy
In Int. J. of Data Mining and Bioinformatics, 12 2: 184-206, 05/2015
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Weakly supervised nonnegative matrix factorization for user-driven clustering

Chandan Reddy
In Springer Data Mining and Knowledge Discovery, 29 6: 1598-1621, 11/2015
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Constrained elastic net based knowledge transfer for healthcare information exchange

Chandan Reddy
In Springer Data Mining and Knowledge Discovery, 29 4: 1094-1112, 07/2015
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Probabilistic Group Recommendation Model for Crowdfunding Domains

Chandan Reddy
In Proceedings of the ACM ACM International Conference on Web Search and Data Mining, (pp ), 02/2016
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Project Success Prediction in Crowdfunding Environments

Chandan Reddy
In Proceedings of the ACM ACM International Conference on Web Search and Data Mining, (pp ), 02/2016
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Regularized Parametric Regression for High-dimensional Survival Analysis

Chandan Reddy
In Proceedings of the SIAM International Conference on Data Mining, (pp ), 05/2016
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Regularized Weighted Linear Regression for High-dimensional Censored Data

Chandan Reddy
In Proceedings of the SIAM International Conference on Data Mining, (pp ), 05/2016
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Early-Stage Event Prediction for Longitudinal Data

Chandan Reddy
In Proceedings of the PAKDD, (pp ), 04/2016
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A Multi-Task Learning Formulation for Survival Analysis

Chandan Reddy
In Proceedings of the ACM ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, (pp ), 08/2016
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Feature Grouping Using Weighted l1 Norm for High-Dimensional Data

Chandan Reddy
In Proceedings of the IEEE IEEE International Conference on Data Mining, (pp ), 12/2016
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L-EnsNMF: Boosted Local Topic Discovery via Ensemble of Nonnegative Matrix Factorization

Chandan Reddy
In Proceedings of the IEEE IEEE International Conference on Data Mining, (pp ), 12/2016
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Transfer learning for class imbalance problems with inadequate data

Chandan Reddy
In Proceedings of the IEEE International Conference on Data Mining, (pp ), 12/2016
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CRISP: Consensus Regularized Selection based Prediction

Chandan Reddy
In Proceedings of the ACM CIKM, (pp ), 10/2016
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Survival Analysis based Framework for Early Prediction of Student Dropouts

Chandan Reddy
In Proceedings of the ACM CIKM, (pp ), 10/2016
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A Bayesian Perspective on Early Stage Event Prediction in Longitudinal Data

Chandan Reddy
In IEEE Transactions on Knowledge and Data Engineering, 28 12: 3126-3139, 09/2016
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RODS: Rarity based Outlier Detection in a Sparse Coding Framework

Chandan Reddy
In IEEE Transactions on Knowledge and Data Engineering, 28 2: 483-495, 09/2016
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Transfer learning for class imbalance problems with inadequate data

Chandan Reddy
In Knowledge and Information Systems, 48 1: , 07/2016
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A distributed ensemble approach for mining healthcare data under privacy constraints

Chandan Reddy
In Information Sciences, 330 : 245-259, 02/2016
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Predicting Complications in Critical Care Using Heterogeneous Clinical Data

Chandan Reddy
In IEEE Access, 4 : 7988-8001, 10/2016
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PIVE: Per-Iteration Visualization Environment for Real-Time Interactions with Dimension Reduction and Clustering

Chandan Reddy
In Proceedings of the AAAI The AAAI conference on Artificial Intelligence, (pp ), 02/2017
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