Chandan K. Reddy

ORCID

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 147

Top Venues

Publications

Akshita Jha, Vinodkumar Prabhakaran, Remi Denton, Sarah Laszlo, Shachi Dave, Rida Qadri, Chandan K. Reddy, Sunipa Dev
Beyond the Surface: A Global-Scale Analysis of Visual Stereotypes in Text-to-Image Generation. CoRR (2024)
Hamid Ghaderi, Brandon Foreman, Chandan K. Reddy, Vignesh Subbian
Discovery of Generalizable TBI Phenotypes Using Multivariate Time-Series Clustering. CoRR (2024)
Sindhu Tipirneni, Ming Zhu, Chandan K. Reddy
StructCoder: Structure-Aware Transformer for Code Generation. ACM Trans. Knowl. Discov. Data 18 (3) (2024)
Akshita Jha, Adithya Samavedhi, Vineeth Rakesh, Jaideep Chandrashekar, Chandan K. Reddy
Transformer-based Models for Long-Form Document Matching: Challenges and Empirical Analysis. EACL (Findings) (2023)
Zibo Liu, Parshin Shojaee, Chandan K. Reddy
Graph-based Multi-ODE Neural Networks for Spatio-Temporal Traffic Forecasting. Trans. Mach. Learn. Res. 2023 (2023)
Akshita Jha, Aida Mostafazadeh Davani, Chandan K. Reddy, Shachi Dave, Vinodkumar Prabhakaran, Sunipa Dev
SeeGULL: A Stereotype Benchmark with Broad Geo-Cultural Coverage Leveraging Generative Models. CoRR (2023)
Akshita Jha, Chandan K. Reddy
CodeAttack: Code-Based Adversarial Attacks for Pre-trained Programming Language Models. AAAI (2023)
Parshin Shojaee, Kazem Meidani, Amir Barati Farimani, Chandan K. Reddy
Transformer-based Planning for Symbolic Regression. NeurIPS (2023)
Parshin Shojaee, Kazem Meidani, Amir Barati Farimani, Chandan K. Reddy
Transformer-based Planning for Symbolic Regression. CoRR (2023)
Hamid Ghaderi, Brandon Foreman, Amin Nayebi, Sindhu Tipirneni, Chandan K. Reddy, Vignesh Subbian
A Self-Supervised Learning-based Approach to Clustering Multivariate Time-Series Data with Missing Values (SLAC-Time): An Application to Traumatic Brain Injury Phenotyping. CoRR (2023)
Nurendra Choudhary, Chandan K. Reddy
Complex Logical Reasoning over Knowledge Graphs using Large Language Models. CoRR (2023)
Mehrdad Khatir, Nurendra Choudhary, Sutanay Choudhury, Khushbu Agarwal, Chandan K. Reddy
A Unification Framework for Euclidean and Hyperbolic Graph Neural Networks. IJCAI (2023)
Nurendra Choudhary, Nikhil Rao, Chandan K. Reddy
Hyperbolic Graph Neural Networks at Scale: A Meta Learning Approach. CoRR (2023)
Chang Lu, Chandan K. Reddy, Ping Wang, Yue Ning
Towards Semi-Structured Automatic ICD Coding via Tree-based Contrastive Learning. NeurIPS (2023)
Kazem Meidani, Parshin Shojaee, Chandan K. Reddy, Amir Barati Farimani
SNIP: Bridging Mathematical Symbolic and Numeric Realms with Unified Pre-training. CoRR (2023)
Parshin Shojaee, Aneesh Jain, Sindhu Tipirneni, Chandan K. Reddy
Execution-based Code Generation using Deep Reinforcement Learning. CoRR (2023)
Akshita Jha, Adithya Samavedhi, Vineeth Rakesh, Jaideep Chandrashekar, Chandan K. Reddy
Transformer-based Models for Long-Form Document Matching: Challenges and Empirical Analysis. CoRR (2023)
Zibo Liu, Parshin Shojaee, Chandan K. Reddy
Graph-based Multi-ODE Neural Networks for Spatio-Temporal Traffic Forecasting. CoRR (2023)
Nurendra Choudhary, Nikhil Rao, Chandan K. Reddy
Hyperbolic Graph Neural Networks at Scale: A Meta Learning Approach. NeurIPS (2023)
Yuan Ling, Fanyou Wu, Shujing Dong, Yarong Feng, George Karypis, Chandan K. Reddy
International Workshop on Multimodal Learning - 2023 Theme: Multimodal Learning with Foundation Models. KDD (2023)
Chang Lu, Chandan K. Reddy, Yue Ning
Self-Supervised Graph Learning With Hyperbolic Embedding for Temporal Health Event Prediction. IEEE Trans. Cybern. 53 (4) (2023)
Hamid Ghaderi, Brandon Foreman, Amin Nayebi, Sindhu Tipirneni, Chandan K. Reddy, Vignesh Subbian
A self-supervised learning-based approach to clustering multivariate time-series data with missing values (SLAC-Time): An application to TBI phenotyping. J. Biomed. Informatics 143 (2023)
Akshita Jha, Vineeth Rakesh, Jaideep Chandrashekar, Adithya Samavedhi, Chandan K. Reddy
Supervised Contrastive Learning for Interpretable Long-Form Document Matching. ACM Trans. Knowl. Discov. Data 17 (2) (2023)
Chang Lu, Chandan K. Reddy, Ping Wang, Yue Ning
Towards Semi-Structured Automatic ICD Coding via Tree-based Contrastive Learning. CoRR (2023)
Hamid Ghaderi, Brandon Foreman, Amin Nayebi, Sindhu Tipirneni, Chandan K. Reddy, Vignesh Subbian
Identifying TBI Physiological States by Clustering of Multivariate Clinical Time-Series. CoRR (2023)
Akshita Jha, Aida Mostafazadeh Davani, Chandan K. Reddy, Shachi Dave, Vinodkumar Prabhakaran, Sunipa Dev
SeeGULL: A Stereotype Benchmark with Broad Geo-Cultural Coverage Leveraging Generative Models. ACL (1) (2023)
Amin Nayebi, Sindhu Tipirneni, Chandan K. Reddy, Brandon Foreman, Vignesh Subbian
WindowSHAP: An efficient framework for explaining time-series classifiers based on Shapley values. J. Biomed. Informatics 144 (2023)
Sindhu Tipirneni, Chandan K. Reddy
Self-Supervised Transformer for Sparse and Irregularly Sampled Multivariate Clinical Time-Series. ACM Trans. Knowl. Discov. Data 16 (6) (2022)
Nurendra Choudhary, Nikhil Rao, Karthik Subbian, Srinivasan H. Sengamedu, Chandan K. Reddy
Hyperbolic Neural Networks: Theory, Architectures and Applications. KDD (2022)
Amin Nayebi, Sindhu Tipirneni, Brandon Foreman, Chandan K. Reddy, Vignesh Subbian
An Empirical Comparison of Explainable Artificial Intelligence Methods for Clinical Data: A Case Study on Traumatic Brain Injury. CoRR (2022)
Nurendra Choudhary, Nikhil Rao, Sumeet Katariya, Karthik Subbian, Chandan K. Reddy
ANTHEM: Attentive Hyperbolic Entity Model for Product Search. WSDM (2022)
Mehrdad Khatir, Nurendra Choudhary, Sutanay Choudhury, Khushbu Agarwal, Chandan K. Reddy
Pseudo-Poincaré: A Unification Framework for Euclidean and Hyperbolic Graph Neural Networks. CoRR (2022)
Nurendra Choudhary, Nikhil Rao, Karthik Subbian, Chandan K. Reddy
Text Enriched Sparse Hyperbolic Graph Convolutional Networks. CoRR (2022)
Nurendra Choudhary, Chandan K. Reddy
Towards Scalable Hyperbolic Neural Networks using Taylor Series Approximations. CoRR (2022)
Sindhu Tipirneni, Ming Zhu, Chandan K. Reddy
StructCoder: Structure-Aware Transformer for Code Generation. CoRR (2022)
Ping Wang, Tian Shi, Khushbu Agarwal, Sutanay Choudhury, Chandan K. Reddy
Attention-based aspect reasoning for knowledge base question answering on clinical notes. BCB (2022)
Nurendra Choudhary, Nikhil Rao, Karthik Subbian, Chandan K. Reddy
Graph-based Multilingual Language Model: Leveraging Product Relations for Search Relevance. KDD (2022)
Akshita Jha, Chandan K. Reddy
CodeAttack: Code-based Adversarial Attacks for Pre-Trained Programming Language Models. CoRR (2022)
Chandan K. Reddy, Lluís Màrquez, Fran Valero, Nikhil Rao, Hugo Zaragoza, Sambaran Bandyopadhyay, Arnab Biswas, Anlu Xing, Karthik Subbian
Shopping Queries Dataset: A Large-Scale ESCI Benchmark for Improving Product Search. CoRR (2022)
Riccardo Tommasini, Senjuti Basu Roy, Xuan Wang, Hongwei Wang, Heng Ji, Jiawei Han, Preslav Nakov, Giovanni Da San Martino, Firoj Alam, Markus Schedl, Elisabeth Lex, Akash Bharadwaj, Graham Cormode, Milan Dojchinovski, Jan Forberg, Johannes Frey, Pieter Bonte, Marco Balduini, Matteo Belcao, Emanuele Della Valle, Junliang Yu, Hongzhi Yin, Tong Chen, Haochen Liu, Yiqi Wang, Wenqi Fan, Xiaorui Liu, Jamell Dacon, Lingjuan Lye, Jiliang Tang, Aristides Gionis, Stefan Neumann, Bruno Ordozgoiti, Simon Razniewski, Hiba Arnaout, Shrestha Ghosh, Fabian M. Suchanek, Lingfei Wu, Yu Chen, Yunyao Li, Bang Liu, Filip Ilievski, Daniel Garijo, Hans Chalupsky, Pedro A. Szekely, Ilias Kanellos, Dimitris Sacharidis, Thanasis Vergoulis, Nurendra Choudhary, Nikhil Rao, Karthik Subbian, Srinivasan H. Sengamedu, Chandan K. Reddy, Friedhelm Victor, Bernhard Haslhofer, George Katsogiannis-Meimarakis, Georgia Koutrika, Shengmin Jin, Danai Koutra, Reza Zafarani, Yulia Tsvetkov, Vidhisha Balachandran, Sachin Kumar, Xiangyu Zhao, Bo Chen, Huifeng Guo, Yejing Wang, Ruiming Tang, Yang Zhang, Wenjie Wang, Peng Wu, Fuli Feng, Xiangnan He
Accepted Tutorials at The Web Conference 2022. WWW (Companion Volume) (2022)
Amin Nayebi, Sindhu Tipirneni, Brandon Foreman, Chandan K. Reddy, Vignesh Subbian
An Empirical Comparison of Explainable Artificial Intelligence Methods for Clinical Data: A Case Study on Traumatic Brain Injury. AMIA (2022)
Amirsina Torfi, Edward A. Fox, Chandan K. Reddy
Differentially private synthetic medical data generation using convolutional GANs. Inf. Sci. 586 (2022)
Tian Shi, Xuchao Zhang, Ping Wang, Chandan K. Reddy
Corpus-level and Concept-based Explanations for Interpretable Document Classification. ACM Trans. Knowl. Discov. Data 16 (3) (2022)
Anoushka Vyas, Nurendra Choudhary, Mehrdad Khatir, Chandan K. Reddy
GraphZoo: A Development Toolkit for Graph Neural Networks with Hyperbolic Geometries. WWW (Companion Volume) (2022)
Ming Zhu, Aneesh Jain, Karthik Suresh, Roshan Ravindran, Sindhu Tipirneni, Chandan K. Reddy
XLCoST: A Benchmark Dataset for Cross-lingual Code Intelligence. CoRR (2022)
Chang Lu, Chandan K. Reddy, Ping Wang, Dong Nie, Yue Ning
Multi-Label Clinical Time-Series Generation via Conditional GAN. CoRR (2022)
Ming Zhu, Karthik Suresh, Chandan K. Reddy
Multilingual Code Snippets Training for Program Translation. AAAI (2022)
Amin Nayebi, Sindhu Tipirneni, Chandan K. Reddy, Brandon Foreman, Vignesh Subbian
WindowSHAP: An Efficient Framework for Explaining Time-series Classifiers based on Shapley Values. CoRR (2022)
Khoa D. Doan, Sarkhan Badirli, Chandan K. Reddy
Unified Energy-Based Generative Network for Supervised Image Hashing. ACCV (6) (2022)
Nurendra Choudhary, Charu C. Aggarwal, Karthik Subbian, Chandan K. Reddy
Self-supervised Short-text Modeling through Auxiliary Context Generation. ACM Trans. Intell. Syst. Technol. 13 (3) (2022)
Nurendra Choudhary, Nikhil Rao, Sumeet Katariya, Karthik Subbian, Chandan K. Reddy
Self-Supervised Hyperboloid Representations from Logical Queries over Knowledge Graphs. WWW (2021)
Sutanay Choudhury, Khushbu Agarwal, Colby Ham, Pritam Mukherjee, Siyi Tang, Sindhu Tipirneni, Veysel Kocaman, Suzanne Tamang, Robert Rallo, Chandan K. Reddy
Tracking the Evolution of COVID-19 via Temporal Comorbidity Analysis from Multi-Modal Data. AMIA (2021)
Akshita Jha, Bhanukiran Vinzamuri, Chandan K. Reddy
Fair Representation Learning using Interpolation Enabled Disentanglement. CoRR (2021)
Ahmadreza Azizi, Ibrahim Asadullah Tahmid, Asim Waheed, Neal Mangaokar, Jiameng Pu, Mobin Javed, Chandan K. Reddy, Bimal Viswanath
T-Miner: A Generative Approach to Defend Against Trojan Attacks on DNN-based Text Classification. CoRR (2021)
Chang Lu, Chandan K. Reddy, Prithwish Chakraborty, Samantha Kleinberg, Yue Ning
Collaborative Graph Learning with Auxiliary Text for Temporal Event Prediction in Healthcare. IJCAI (2021)
Khoa D. Doan, Saurav Manchanda, Suchismit Mahapatra, Chandan K. Reddy
Interpretable Graph Similarity Computation via Differentiable Optimal Alignment of Node Embeddings. SIGIR (2021)
Chang Lu, Chandan K. Reddy, Yue Ning
Self-Supervised Graph Learning with Hyperbolic Embedding for Temporal Health Event Prediction. CoRR (2021)
Ping Wang, Tian Shi, Chandan K. Reddy
A Novel Tensor-Based Temporal Multi-Task Survival Analysis Model. IEEE Trans. Knowl. Data Eng. 33 (9) (2021)
Akshita Jha, Vineeth Rakesh, Jaideep Chandrashekar, Adithya Samavedhi, Chandan K. Reddy
Supervised Contrastive Learning for Interpretable Long Document Comparison. CoRR (2021)
Amin Nayebi, Sindhu Tipirneni, Brandon Foreman, Jonathan J. Ratcliff, Chandan K. Reddy, Vignesh Subbian
Recurrent Neural Network based Time-Series Modeling for Long-term Prognosis Following Acute Traumatic Brain Injury. AMIA (2021)
Sumeet Katariya, Nikhil Rao, Chandan K. Reddy
Workshop on Data-Efficient Machine Learning (DeMaL). KDD (2021)
Chang Lu, Chandan K. Reddy, Prithwish Chakraborty, Samantha Kleinberg, Yue Ning
Collaborative Graph Learning with Auxiliary Text for Temporal Event Prediction in Healthcare. CoRR (2021)
Nurendra Choudhary, Nikhil Rao, Sumeet Katariya, Karthik Subbian, Chandan K. Reddy
Probabilistic Entity Representation Model for Reasoning over Knowledge Graphs. CoRR (2021)
Tian Shi, Yaser Keneshloo, Naren Ramakrishnan, Chandan K. Reddy
Neural Abstractive Text Summarization with Sequence-to-Sequence Models. Trans. Data Sci. 2 (1) (2021)
Tian Shi, Liuqing Li, Ping Wang, Chandan K. Reddy
A Simple and Effective Self-Supervised Contrastive Learning Framework for Aspect Detection. AAAI (2021)
Ping Wang, Tian Shi, Khushbu Agarwal, Sutanay Choudhury, Chandan K. Reddy
Attention-based Aspect Reasoning for Knowledge Base Question Answering on Clinical Notes. CoRR (2021)
Ahmadreza Azizi, Ibrahim Asadullah Tahmid, Asim Waheed, Neal Mangaokar, Jiameng Pu, Mobin Javed, Chandan K. Reddy, Bimal Viswanath
T-Miner: A Generative Approach to Defend Against Trojan Attacks on DNN-based Text Classification. USENIX Security Symposium (2021)
Ping Wang, Khushbu Agarwal, Colby Ham, Sutanay Choudhury, Chandan K. Reddy
Self-Supervised Learning of Contextual Embeddings for Link Prediction in Heterogeneous Networks. WWW (2021)
Neal Mangaokar, Jiameng Pu, Parantapa Bhattacharya, Chandan K. Reddy, Bimal Viswanath
Jekyll: Attacking Medical Image Diagnostics using Deep Generative Models. CoRR (2021)
Nurendra Choudhary, Nikhil Rao, Sumeet Katariya, Karthik Subbian, Chandan K. Reddy
Probabilistic Entity Representation Model for Reasoning over Knowledge Graphs. NeurIPS (2021)
Sindhu Tipirneni, Chandan K. Reddy
Self-supervised Transformer for Multivariate Clinical Time-Series with Missing Values. CoRR (2021)
Khoa D. Doan, Saurav Manchanda, Fengjiao Wang, S. Sathiya Keerthi, Avradeep Bhowmik, Chandan K. Reddy
Image Generation Via Minimizing Fréchet Distance in Discriminator Feature Space. CoRR (2020)
Aman Ahuja, Nikhil Rao, Sumeet Katariya, Karthik Subbian, Chandan K. Reddy
Language-Agnostic Representation Learning for Product Search on E-Commerce Platforms. WSDM (2020)
Ping Wang, Tian Shi, Chandan K. Reddy
Text-to-SQL Generation for Question Answering on Electronic Medical Records. WWW (2020)
Ting Hua, Chang-Tien Lu, Jaegul Choo, Chandan K. Reddy
Probabilistic Topic Modeling for Comparative Analysis of Document Collections. ACM Trans. Knowl. Discov. Data 14 (2) (2020)
Ming Zhu, Busra Celikkaya, Parminder Bhatia, Chandan K. Reddy
LATTE: Latent Type Modeling for Biomedical Entity Linking. AAAI (2020)
Nurendra Choudhary, Nikhil Rao, Sumeet Katariya, Karthik Subbian, Chandan K. Reddy
Self-Supervised Hyperboloid Representations from Logical Queries over Knowledge Graphs. CoRR (2020)
Sina Dabiri, Chang-Tien Lu, Kevin Heaslip, Chandan K. Reddy
Semi-Supervised Deep Learning Approach for Transportation Mode Identification Using GPS Trajectory Data. IEEE Trans. Knowl. Data Eng. 32 (5) (2020)
Yaser Keneshloo, Tian Shi, Naren Ramakrishnan, Chandan K. Reddy
Deep Reinforcement Learning for Sequence-to-Sequence Models. IEEE Trans. Neural Networks Learn. Syst. 31 (7) (2020)
Khoa D. Doan, Chandan K. Reddy
Efficient Implicit Unsupervised Text Hashing using Adversarial Autoencoder. WWW (2020)
Tian Shi, Liuqing Li, Ping Wang, Chandan K. Reddy
A Simple and Effective Self-Supervised Contrastive Learning Framework for Aspect Detection. CoRR (2020)
Amirsina Torfi, Edward A. Fox, Chandan K. Reddy
Differentially Private Synthetic Medical Data Generation using Convolutional GANs. CoRR (2020)
Ping Wang, Khushbu Agarwal, Colby Ham, Sutanay Choudhury, Chandan K. Reddy
Self-Supervised Learning of Contextual Embeddings for Link Prediction in Heterogeneous Networks. CoRR (2020)
Ming Zhu, Aman Ahuja, Da-Cheng Juan, Wei Wei, Chandan K. Reddy
Question Answering with Long Multiple-Span Answers. EMNLP (Findings) (2020)
Tian Shi, Ping Wang, Chandan K. Reddy
Deliberate Self-Attention Network with Uncertainty Estimation for Multi-Aspect Review Rating Prediction. CoRR (2020)
Tian Shi, Xuchao Zhang, Ping Wang, Chandan K. Reddy
A Concept-based Abstraction-Aggregation Deep Neural Network for Interpretable Document Classification. CoRR (2020)
Neal Mangaokar, Jiameng Pu, Parantapa Bhattacharya, Chandan K. Reddy, Bimal Viswanath
Jekyll: Attacking Medical Image Diagnostics using Deep Generative Models. EuroS&P (2020)
Jiameng Pu, Neal Mangaokar, Bolun Wang, Chandan K. Reddy, Bimal Viswanath
NoiseScope: Detecting Deepfake Images in a Blind Setting. ACSAC (2020)
Khoa D. Doan, Amir Kimiyaie, Saurav Manchanda, Chandan K. Reddy
Image Hashing by Minimizing Independent Relaxed Wasserstein Distance. CoRR (2020)
Ming Zhu, Aman Ahuja, Wei Wei, Chandan K. Reddy
A Hierarchical Attention Retrieval Model for Healthcare Question Answering. WWW (2019)
Tian Shi, Vineeth Rakesh, Suhang Wang, Chandan K. Reddy
Document-Level Multi-Aspect Sentiment Classification for Online Reviews of Medical Experts. CIKM (2019)
Ming Zhu, Busra Celikkaya, Parminder Bhatia, Chandan K. Reddy
LATTE: Latent Type Modeling for Biomedical Entity Linking. CoRR (2019)
Tian Shi, Ping Wang, Chandan K. Reddy
LeafNATS: An Open-Source Toolkit and Live Demo System for Neural Abstractive Text Summarization. NAACL-HLT (Demonstrations) (2019)
Tian Shi, Ping Wang, Chandan K. Reddy
LeafNATS: An Open-Source Toolkit and Live Demo System for Neural Abstractive Text Summarization. CoRR (2019)
Ping Wang, Tian Shi, Chandan K. Reddy
A Translate-Edit Model for Natural Language Question to SQL Query Generation on Multi-relational Healthcare Data. CoRR (2019)
Dhruv Sharma, Zahil Shanis, Chandan K. Reddy, Samuel Gerber, Andinet Enquobahrie
Active Learning Technique for Multimodal Brain Tumor Segmentation Using Limited Labeled Images. DART/MIL3ID@MICCAI (2019)
Khoa D. Doan, Guolei Yang, Chandan K. Reddy
An Attentive Spatio-Temporal Neural Model for Successive Point of Interest Recommendation. PAKDD (3) (2019)
Yaser Keneshloo, Naren Ramakrishnan, Chandan K. Reddy
Deep Transfer Reinforcement Learning for Text Summarization. SDM (2019)
Khoa D. Doan, Pranjul Yadav, Chandan K. Reddy
Adversarial Factorization Autoencoder for Look-alike Modeling. CIKM (2019)
Xuan Zhang, Zhilei Qiao, Aman Ahuja, Weiguo Fan, Edward A. Fox, Chandan K. Reddy
Discovering Product Defects and Solutions from Online User Generated Contents. WWW (2019)

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Publication Activity (10 Years)

Top Topics

Top Venues

Chandan K. Reddy