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ORCIDChandan K. Reddy
Person information
- affiliation: Virginia Tech, Department of Computer Science, Blacksburg, VA, USA
- affiliation (PhD): Cornell University, Ithaca, NY, USA
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2020 – today
- 2024
[j46]Hamid Ghaderi
, Brandon Foreman, Chandan K. Reddy, Vignesh Subbian:
Discovery of generalizable TBI phenotypes using multivariate time-series clustering. Comput. Biol. Medicine 180: 108997 (2024)- [j45]Sindhu Tipirneni, Ming Zhu, Chandan K. Reddy:
StructCoder: Structure-Aware Transformer for Code Generation. ACM Trans. Knowl. Discov. Data 18(3): 70:1-70:20 (2024) - [j44]Chang Lu, Chandan K. Reddy, Ping Wang, Dong Nie, Yue Ning:
Multi-Label Clinical Time-Series Generation via Conditional GAN. IEEE Trans. Knowl. Data Eng. 36(4): 1728-1740 (2024) - [c111]Fanyou Wu, Weijie Xu, Chandan K. Reddy, Srinivasan Sengamedu:
Synthesizing Conversations from Unlabeled Documents using Automatic Response Segmentation. ACL (Findings) 2024: 8012-8026 - [c110]Akshita Jha, Vinodkumar Prabhakaran, Remi Denton, Sarah Laszlo, Shachi Dave, Rida Qadri, Chandan K. Reddy, Sunipa Dev:
ViSAGe: A Global-Scale Analysis of Visual Stereotypes in Text-to-Image Generation. ACL (1) 2024: 12333-12347 - [c109]Kazem Meidani, Parshin Shojaee, Chandan K. Reddy, Amir Barati Farimani:
SNIP: Bridging Mathematical Symbolic and Numeric Realms with Unified Pre-training. ICLR 2024 - [c108]Yuan Ling, Shujing Dong, Yarong Feng, Zongyi Joe Liu, George Karypis, Chandan K. Reddy:
KDD workshop on Evaluation and Trustworthiness of Generative AI Models. KDD 2024: 6729-6730 - [c107]Nurendra Choudhary, Edward W. Huang, Karthik Subbian, Chandan K. Reddy:
An Interpretable Ensemble of Graph and Language Models for Improving Search Relevance in E-Commerce. WWW (Companion Volume) 2024: 206-215 - [i58]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 abs/2401.06310 (2024) - [i57]Hamid Ghaderi, Brandon Foreman, Chandan K. Reddy, Vignesh Subbian:
Discovery of Generalizable TBI Phenotypes Using Multivariate Time-Series Clustering. CoRR abs/2401.08002 (2024) - [i56]Nurendra Choudhary, Edward W. Huang, Karthik Subbian, Chandan K. Reddy:
An Interpretable Ensemble of Graph and Language Models for Improving Search Relevance in E-Commerce. CoRR abs/2403.00923 (2024) - [i55]Parshin Shojaee, Kazem Meidani, Shashank Gupta, Amir Barati Farimani, Chandan K. Reddy:
LLM-SR: Scientific Equation Discovery via Programming with Large Language Models. CoRR abs/2404.18400 (2024) - [i54]Sindhu Tipirneni, Ravinarayana Adkathimar, Nurendra Choudhary, Gaurush Hiranandani, Rana Ali Amjad, Vassilis N. Ioannidis, Changhe Yuan, Chandan K. Reddy:
Context-Aware Clustering using Large Language Models. CoRR abs/2405.00988 (2024) - [i53]Nanxu Gong, Chandan K. Reddy, Wangyang Ying, Yanjie Fu:
Evolutionary Large Language Model for Automated Feature Transformation. CoRR abs/2405.16203 (2024) - [i52]Fanyou Wu, Weijie Xu, Chandan K. Reddy, Srinivasan H. Sengamedu:
Synthesizing Conversations from Unlabeled Documents using Automatic Response Segmentation. CoRR abs/2406.03703 (2024) - [i51]Mehrdad Khatir, Chandan K. Reddy:
Concept Formation and Alignment in Language Models: Bridging Statistical Patterns in Latent Space to Concept Taxonomy. CoRR abs/2406.05315 (2024) - [i50]Nikhil Abhyankar, Vivek Gupta, Dan Roth, Chandan K. Reddy:
H-STAR: LLM-driven Hybrid SQL-Text Adaptive Reasoning on Tables. CoRR abs/2407.05952 (2024) - [i49]Hyeong Kyu Choi, Weijie Xu, Chi Xue, Stephanie Eckman, Chandan K. Reddy:
Mitigating Selection Bias with Node Pruning and Auxiliary Options. CoRR abs/2409.18857 (2024) - [i48]Taicheng Guo, Chaochun Liu, Hai Wang, Varun Mannam, Fang Wang, Xin Chen, Xiangliang Zhang, Chandan K. Reddy:
Knowledge Graph Enhanced Language Agents for Recommendation. CoRR abs/2410.19627 (2024) - 2023
- [j43]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: 104401 (2023) - [j42]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: 104438 (2023) - [j41]Chang Lu, Chandan K. Reddy, Yue Ning:
Self-Supervised Graph Learning With Hyperbolic Embedding for Temporal Health Event Prediction. IEEE Trans. Cybern. 53(4): 2124-2136 (2023) - [j40]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): 27:1-27:17 (2023) - [j39]Zibo Liu, Parshin Shojaee, Chandan K. Reddy:
Graph-based Multi-ODE Neural Networks for Spatio-Temporal Traffic Forecasting. Trans. Mach. Learn. Res. 2023 (2023) - [j38]Parshin Shojaee, Aneesh Jain, Sindhu Tipirneni, Chandan K. Reddy:
Execution-based Code Generation using Deep Reinforcement Learning. Trans. Mach. Learn. Res. 2023 (2023) - [c106]Akshita Jha, Chandan K. Reddy:
CodeAttack: Code-Based Adversarial Attacks for Pre-trained Programming Language Models. AAAI 2023: 14892-14900 - [c105]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: 9851-9870 - [c104]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: 2300-2310 - [c103]Mehrdad Khatir, Nurendra Choudhary, Sutanay Choudhury, Khushbu Agarwal, Chandan K. Reddy:
A Unification Framework for Euclidean and Hyperbolic Graph Neural Networks. IJCAI 2023: 3875-3883 - [c102]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: 5868-5869 - [c101]Nurendra Choudhary, Nikhil Rao, Chandan K. Reddy:
Hyperbolic Graph Neural Networks at Scale: A Meta Learning Approach. NeurIPS 2023 - [c100]Chang Lu, Chandan K. Reddy, Ping Wang, Yue Ning:
Towards Semi-Structured Automatic ICD Coding via Tree-based Contrastive Learning. NeurIPS 2023 - [c99]Parshin Shojaee, Kazem Meidani, Amir Barati Farimani, Chandan K. Reddy:
Transformer-based Planning for Symbolic Regression. NeurIPS 2023 - [i47]Parshin Shojaee, Aneesh Jain, Sindhu Tipirneni, Chandan K. Reddy:
Execution-based Code Generation using Deep Reinforcement Learning. CoRR abs/2301.13816 (2023) - [i46]Akshita Jha, Adithya Samavedhi, Vineeth Rakesh, Jaideep Chandrashekar, Chandan K. Reddy:
Transformer-based Models for Long-Form Document Matching: Challenges and Empirical Analysis. CoRR abs/2302.03765 (2023) - [i45]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 abs/2302.13457 (2023) - [i44]Parshin Shojaee, Kazem Meidani, Amir Barati Farimani, Chandan K. Reddy:
Transformer-based Planning for Symbolic Regression. CoRR abs/2303.06833 (2023) - [i43]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 abs/2303.13024 (2023) - [i42]Nurendra Choudhary, Chandan K. Reddy:
Complex Logical Reasoning over Knowledge Graphs using Large Language Models. CoRR abs/2305.01157 (2023) - [i41]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 abs/2305.11840 (2023) - [i40]Zibo Liu, Parshin Shojaee, Chandan K. Reddy:
Graph-based Multi-ODE Neural Networks for Spatio-Temporal Traffic Forecasting. CoRR abs/2305.18687 (2023) - [i39]Kazem Meidani, Parshin Shojaee, Chandan K. Reddy, Amir Barati Farimani:
SNIP: Bridging Mathematical Symbolic and Numeric Realms with Unified Pre-training. CoRR abs/2310.02227 (2023) - [i38]Chang Lu, Chandan K. Reddy, Ping Wang, Yue Ning:
Towards Semi-Structured Automatic ICD Coding via Tree-based Contrastive Learning. CoRR abs/2310.09672 (2023) - [i37]Nurendra Choudhary, Nikhil Rao, Chandan K. Reddy:
Hyperbolic Graph Neural Networks at Scale: A Meta Learning Approach. CoRR abs/2310.18918 (2023) - 2022
- [j37]Amirsina Torfi, Edward A. Fox, Chandan K. Reddy:
Differentially private synthetic medical data generation using convolutional GANs. Inf. Sci. 586: 485-500 (2022) - [j36]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): 51:1-51:21 (2022) - [j35]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): 48:1-48:17 (2022) - [j34]Sindhu Tipirneni, Chandan K. Reddy:
Self-Supervised Transformer for Sparse and Irregularly Sampled Multivariate Clinical Time-Series. ACM Trans. Knowl. Discov. Data 16(6): 105:1-105:17 (2022) - [c98]Ming Zhu, Karthik Suresh, Chandan K. Reddy:
Multilingual Code Snippets Training for Program Translation. AAAI 2022: 11783-11790 - [c97]Khoa D. Doan, Sarkhan Badirli, Chandan K. Reddy:
Unified Energy-Based Generative Network for Supervised Image Hashing. ACCV (6) 2022: 527-543 - [c96]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 - [c95]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: 10:1-10:6 - [c94]Nurendra Choudhary, Nikhil Rao, Karthik Subbian, Chandan K. Reddy:
Graph-based Multilingual Language Model: Leveraging Product Relations for Search Relevance. KDD 2022: 2789-2799 - [c93]Nurendra Choudhary, Nikhil Rao, Karthik Subbian, Srinivasan H. Sengamedu, Chandan K. Reddy:
Hyperbolic Neural Networks: Theory, Architectures and Applications. KDD 2022: 4778-4779 - [c92]Nurendra Choudhary, Nikhil Rao, Sumeet Katariya, Karthik Subbian, Chandan K. Reddy:
ANTHEM: Attentive Hyperbolic Entity Model for Product Search. WSDM 2022: 161-171 - [c91]Anoushka Vyas, Nurendra Choudhary, Mehrdad Khatir, Chandan K. Reddy:
GraphZoo: A Development Toolkit for Graph Neural Networks with Hyperbolic Geometries. WWW (Companion Volume) 2022: 184-188 - [c90]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: 391-399 - [i36]Chang Lu, Chandan K. Reddy, Ping Wang, Dong Nie, Yue Ning:
Multi-Label Clinical Time-Series Generation via Conditional GAN. CoRR abs/2204.04797 (2022) - [i35]Akshita Jha, Chandan K. Reddy:
CodeAttack: Code-based Adversarial Attacks for Pre-Trained Programming Language Models. CoRR abs/2206.00052 (2022) - [i34]Nurendra Choudhary, Chandan K. Reddy:
Towards Scalable Hyperbolic Neural Networks using Taylor Series Approximations. CoRR abs/2206.03610 (2022) - [i33]Mehrdad Khatir, Nurendra Choudhary, Sutanay Choudhury, Khushbu Agarwal, Chandan K. Reddy:
Pseudo-Poincaré: A Unification Framework for Euclidean and Hyperbolic Graph Neural Networks. CoRR abs/2206.04285 (2022) - [i32]Sindhu Tipirneni, Ming Zhu, Chandan K. Reddy:
StructCoder: Structure-Aware Transformer for Code Generation. CoRR abs/2206.05239 (2022) - [i31]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 abs/2206.06588 (2022) - [i30]Ming Zhu, Aneesh Jain, Karthik Suresh, Roshan Ravindran, Sindhu Tipirneni, Chandan K. Reddy:
XLCoST: A Benchmark Dataset for Cross-lingual Code Intelligence. CoRR abs/2206.08474 (2022) - [i29]Nurendra Choudhary, Nikhil Rao, Karthik Subbian, Chandan K. Reddy:
Text Enriched Sparse Hyperbolic Graph Convolutional Networks. CoRR abs/2207.02368 (2022) - [i28]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 abs/2208.06717 (2022) - [i27]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 abs/2211.06507 (2022) - 2021
- [j33]Tian Shi, Yaser Keneshloo, Naren Ramakrishnan, Chandan K. Reddy:
Neural Abstractive Text Summarization with Sequence-to-Sequence Models. Trans. Data Sci. 2(1): 1:1-1:37 (2021) - [j32]Ping Wang, Tian Shi, Chandan K. Reddy:
A Novel Tensor-Based Temporal Multi-Task Survival Analysis Model. IEEE Trans. Knowl. Data Eng. 33(9): 3311-3322 (2021) - [c89]Tian Shi, Liuqing Li, Ping Wang, Chandan K. Reddy:
A Simple and Effective Self-Supervised Contrastive Learning Framework for Aspect Detection. AAAI 2021: 13815-13824 - [c88]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 - [c87]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 - [c86]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: 3529-3535 - [c85]Sumeet Katariya, Nikhil Rao, Chandan K. Reddy:
Workshop on Data-Efficient Machine Learning (DeMaL). KDD 2021: 4135-4136 - [c84]Nurendra Choudhary, Nikhil Rao, Sumeet Katariya, Karthik Subbian, Chandan K. Reddy:
Probabilistic Entity Representation Model for Reasoning over Knowledge Graphs. NeurIPS 2021: 23440-23451 - [c83]Khoa D. Doan, Saurav Manchanda, Suchismit Mahapatra, Chandan K. Reddy:
Interpretable Graph Similarity Computation via Differentiable Optimal Alignment of Node Embeddings. SIGIR 2021: 665-674 - [c82]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: 2255-2272 - [c81]Nurendra Choudhary, Nikhil Rao, Sumeet Katariya, Karthik Subbian, Chandan K. Reddy:
Self-Supervised Hyperboloid Representations from Logical Queries over Knowledge Graphs. WWW 2021: 1373-1384 - [c80]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: 2946-2957 - [i26]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 abs/2103.04264 (2021) - [i25]Neal Mangaokar, Jiameng Pu, Parantapa Bhattacharya, Chandan K. Reddy, Bimal Viswanath:
Jekyll: Attacking Medical Image Diagnostics using Deep Generative Models. CoRR abs/2104.02107 (2021) - [i24]Chang Lu, Chandan K. Reddy, Prithwish Chakraborty, Samantha Kleinberg, Yue Ning:
Collaborative Graph Learning with Auxiliary Text for Temporal Event Prediction in Healthcare. CoRR abs/2105.07542 (2021) - [i23]Chang Lu, Chandan K. Reddy, Yue Ning:
Self-Supervised Graph Learning with Hyperbolic Embedding for Temporal Health Event Prediction. CoRR abs/2106.04751 (2021) - [i22]Sindhu Tipirneni, Chandan K. Reddy:
Self-supervised Transformer for Multivariate Clinical Time-Series with Missing Values. CoRR abs/2107.14293 (2021) - [i21]Akshita Jha, Bhanukiran Vinzamuri, Chandan K. Reddy:
Fair Representation Learning using Interpolation Enabled Disentanglement. CoRR abs/2108.00295 (2021) - [i20]Ping Wang, Tian Shi, Khushbu Agarwal, Sutanay Choudhury, Chandan K. Reddy:
Attention-based Aspect Reasoning for Knowledge Base Question Answering on Clinical Notes. CoRR abs/2108.00513 (2021) - [i19]Akshita Jha, Vineeth Rakesh, Jaideep Chandrashekar, Adithya Samavedhi, Chandan K. Reddy:
Supervised Contrastive Learning for Interpretable Long Document Comparison. CoRR abs/2108.09190 (2021) - [i18]Nurendra Choudhary, Nikhil Rao, Sumeet Katariya, Karthik Subbian, Chandan K. Reddy:
Probabilistic Entity Representation Model for Reasoning over Knowledge Graphs. CoRR abs/2110.13522 (2021) - 2020
- [j31]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): 24:1-24:27 (2020) - [j30]Sina Dabiri, Chang-Tien Lu, Kevin P. Heaslip, Chandan K. Reddy:
Semi-Supervised Deep Learning Approach for Transportation Mode Identification Using GPS Trajectory Data. IEEE Trans. Knowl. Data Eng. 32(5): 1010-1023 (2020) - [j29]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): 2469-2489 (2020) - [c79]Ming Zhu, Busra Celikkaya, Parminder Bhatia, Chandan K. Reddy:
LATTE: Latent Type Modeling for Biomedical Entity Linking. AAAI 2020: 9757-9764 - [c78]Jiameng Pu, Neal Mangaokar, Bolun Wang, Chandan K. Reddy, Bimal Viswanath:
NoiseScope: Detecting Deepfake Images in a Blind Setting. ACSAC 2020: 913-927 - [c77]Ming Zhu, Aman Ahuja, Da-Cheng Juan, Wei Wei, Chandan K. Reddy:
Question Answering with Long Multiple-Span Answers. EMNLP (Findings) 2020: 3840-3849 - [c76]Neal Mangaokar, Jiameng Pu, Parantapa Bhattacharya, Chandan K. Reddy, Bimal Viswanath:
Jekyll: Attacking Medical Image Diagnostics using Deep Generative Models. EuroS&P 2020: 139-157 - [c75]Aman Ahuja, Nikhil Rao, Sumeet Katariya, Karthik Subbian, Chandan K. Reddy:
Language-Agnostic Representation Learning for Product Search on E-Commerce Platforms. WSDM 2020: 7-15 - [c74]Ping Wang, Tian Shi, Chandan K. Reddy:
Text-to-SQL Generation for Question Answering on Electronic Medical Records. WWW 2020: 350-361 - [c73]Khoa D. Doan, Chandan K. Reddy:
Efficient Implicit Unsupervised Text Hashing using Adversarial Autoencoder. WWW 2020: 684-694 - [i17]Khoa D. Doan, Amir Kimiyaie, Saurav Manchanda, Chandan K. Reddy:
Image Hashing by Minimizing Independent Relaxed Wasserstein Distance. CoRR abs/2003.00134 (2020) - [i16]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 abs/2003.11774 (2020) - [i15]Tian Shi, Xuchao Zhang, Ping Wang, Chandan K. Reddy:
A Concept-based Abstraction-Aggregation Deep Neural Network for Interpretable Document Classification. CoRR abs/2004.13003 (2020) - [i14]Ping Wang, Khushbu Agarwal, Colby Ham, Sutanay Choudhury, Chandan K. Reddy:
Self-Supervised Learning of Contextual Embeddings for Link Prediction in Heterogeneous Networks. CoRR abs/2007.11192 (2020) - [i13]Tian Shi, Liuqing Li, Ping Wang, Chandan K. Reddy:
A Simple and Effective Self-Supervised Contrastive Learning Framework for Aspect Detection. CoRR abs/2009.09107 (2020) - [i12]Tian Shi, Ping Wang, Chandan K. Reddy:
Deliberate Self-Attention Network with Uncertainty Estimation for Multi-Aspect Review Rating Prediction. CoRR abs/2009.09112 (2020) - [i11]Amirsina Torfi, Edward A. Fox, Chandan K. Reddy:
Differentially Private Synthetic Medical Data Generation using Convolutional GANs. CoRR abs/2012.11774 (2020) - [i10]Nurendra Choudhary, Nikhil Rao, Sumeet Katariya, Karthik Subbian, Chandan K. Reddy:
Self-Supervised Hyperboloid Representations from Logical Queries over Knowledge Graphs. CoRR abs/2012.13023 (2020)
2010 – 2019
- 2019
- [j28]Ping Wang, Yan Li, Chandan K. Reddy:
Machine Learning for Survival Analysis: A Survey. ACM Comput. Surv. 51(6): 110:1-110:36 (2019) - [c72]Tian Shi, Vineeth Rakesh, Suhang Wang, Chandan K. Reddy:
Document-Level Multi-Aspect Sentiment Classification for Online Reviews of Medical Experts. CIKM 2019: 2723-2731 - [c71]Khoa D. Doan, Pranjul Yadav, Chandan K. Reddy:
Adversarial Factorization Autoencoder for Look-alike Modeling. CIKM 2019: 2803-2812 - [c70]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: 148-156 - [c69]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: 66-71 - [c68]Aman Ahuja, Ashish Baghudana, Wei Lu, Edward A. Fox, Chandan K. Reddy:
Spatio-Temporal Event Detection from Multiple Data Sources. PAKDD (1) 2019: 293-305 - [c67]