Chandan K. Reddy

257 papers A* 45A 27B 5C 1Misc 4Journal 128Unranked 37
YearRankTypeTitle / Venue / Authors
2026 J jnl
Discovering heuristics with Large Language Models (LLMs) for mixed-integer programs: Single-machine scheduling.
Comput. Oper. Res.
Ibrahim Oguz Çetinkaya, I. Esra Büyüktahtakin, Parshin Shojaee, Chandan K. Reddy
2026 J jnl
SURFACEBENCH: A Geometry-Aware Benchmark for Symbolic Surface Discovery.
Trans. Mach. Learn. Res.
Sanchit Kabra, Shobhnik Kriplani, Parshin Shojaee, Chandan K. Reddy
2026 J jnl
Visual Exclusivity Attacks: Automatic Multimodal Red Teaming via Agentic Planning.
CoRR
Yunbei Zhang, Yingqiang Ge, Weijie Xu, Yuhui Xu, Jihun Hamm, Chandan K. Reddy
2025 J jnl
Accelerating Materials Design via LLM-Guided Evolutionary Search.
CoRR
Nikhil Abhyankar, Sanchit Kabra, Saaketh Desai, Chandan K. Reddy
2025 J jnl
Data-Efficient Symbolic Regression via Foundation Model Distillation.
CoRR
Wangyang Ying, Jinghan Zhang, Haoyue Bai, Nanxu Gong, Xinyuan Wang, Kunpeng Liu, Chandan K. Reddy, Yanjie Fu
2025 J jnl
Discovering Heuristics with Large Language Models (LLMs) for Mixed-Integer Programs: Single-Machine Scheduling.
CoRR
Ibrahim Oguz Çetinkaya, I. Esra Büyüktahtakin, Parshin Shojaee, Chandan K. Reddy
2025 J jnl
Distractor Injection Attacks on Large Reasoning Models: Characterization and Defense.
CoRR
Zhehao Zhang, Weijie Xu, Shixian Cui, Chandan K. Reddy
2025 J jnl
Distribution Shift Aware Neural Tabular Learning.
CoRR
Wangyang Ying, Nanxu Gong, Dongjie Wang, Xinyuan Wang, Arun Vignesh Malarkkan, Vivek Gupta, Chandan K. Reddy, Yanjie Fu
2025 J jnl
DriveMind: A Dual-VLM based Reinforcement Learning Framework for Autonomous Driving.
CoRR
Dawood Wasif, Terrence J. Moore, Chandan K. Reddy, Jin-Hee Cho
2025 J jnl
Evaluating Large Language Models in Scientific Discovery.
CoRR
Zhangde Song, Jieyu Lu, Yuanqi Du, Botao Yu, Thomas M. Pruyn, Yue Huang, Kehan Guo, Xiuzhe Luo, Yuanhao Qu, Yi Qu, Yinkai Wang, Haorui Wang, Jeff Guo, Jingru Gan, Parshin Shojaee, Di Luo, Andres M. Bran, Gen Li, Qiyuan Zhao, Shao-Xiong Lennon Luo, Yuxuan Zhang, Xiang Zou, Wanru Zhao, Yifan F. Zhang, Wucheng Zhang, Shunan Zheng, Saiyang Zhang, Sartaaj Takrim Khan, Mahyar Rajabi Kochi, Samantha Paradi-Maropakis, Tony Baltoiu, Fengyu Xie, Tianyang Chen, Kexin Huang, Weiliang Luo, Meijing Fang, Xin Yang, Lixue Cheng, Jiajun He, Soha Hassoun, Xiangliang Zhang, Wei Wang, Chandan K. Reddy, Chao Zhang, Zhiling Zheng, Mengdi Wang, Le Cong, Carla P. Gomes, Chang-Yu Hsieh, Aditya Nandy, Philippe Schwaller, Heather J. Kulik, Haojun Jia, Huan Sun, Seyed Mohamad Moosavi, Chenru Duan
2025 A* conf
Evolutionary Large Language Model for Automated Feature Transformation.
AAAI
Nanxu Gong, Chandan K. Reddy, Wangyang Ying, Haifeng Chen, Yanjie Fu
2025 J jnl
Extracting Structured Labor Market Information from Job Postings with Generative AI.
Digit. Gov. Res. Pract.
Mark Howison, William O. Ensor, Suraj Maharjan, Rahil Parikh, Srinivasan H. Sengamedu, Paul Daniels, Amber Gaither, Carrie Yeats, Chandan K. Reddy, Justine S. Hastings
2025 J jnl
FalseReject: A Resource for Improving Contextual Safety and Mitigating Over-Refusals in LLMs via Structured Reasoning.
CoRR
Zhehao Zhang, Weijie Xu, Fanyou Wu, Chandan K. Reddy
2025 — conf
H-STAR: LLM-driven Hybrid SQL-Text Adaptive Reasoning on Tables.
NAACL (Long Papers)
Nikhil Abhyankar, Vivek Gupta, Dan Roth, Chandan K. Reddy
2025 — conf
KDD Workshop on Evaluation and Trustworthiness of Agentic and Generative AI.
KDD (2)
Yuan Ling, Shujing Dong, Zheng Chen, Yarong Feng, Sadid Hasan, George Karypis, Chandan K. Reddy
2025 J jnl
LLM-FE: Automated Feature Engineering for Tabular Data with LLMs as Evolutionary Optimizers.
CoRR
Nikhil Abhyankar, Parshin Shojaee, Chandan K. Reddy
2025 A* conf
LLM-SR: Scientific Equation Discovery via Programming with Large Language Models.
ICLR
Parshin Shojaee, Kazem Meidani, Shashank Gupta, Amir Barati Farimani, Chandan K. Reddy
2025 A* conf
LLM-SRBench: A New Benchmark for Scientific Equation Discovery with Large Language Models.
ICML
Parshin Shojaee, Ngoc-Hieu Nguyen, Kazem Meidani, Amir Barati Farimani, Khoa D. Doan, Chandan K. Reddy
2025 J jnl
LLM-SRBench: A New Benchmark for Scientific Equation Discovery with Large Language Models.
CoRR
Parshin Shojaee, Ngoc-Hieu Nguyen, Kazem Meidani, Amir Barati Farimani, Khoa D. Doan, Chandan K. Reddy
2025 J jnl
MTSQL-R1: Towards Long-Horizon Multi-Turn Text-to-SQL via Agentic Training.
CoRR
Taicheng Guo, Hai Wang, Chaochun Liu, Mohsen Golalikhani, Xin Chen, Xiangliang Zhang, Chandan K. Reddy
2025 — conf
Mitigating Selection Bias with Node Pruning and Auxiliary Options.
ACL (1)
Hyeong Kyu Choi, Weijie Xu, Chi Xue, Stephanie Eckman, Chandan K. Reddy
2025 J jnl
Quantifying Fairness in LLMs Beyond Tokens: A Semantic and Statistical Perspective.
CoRR
Weijie Xu, Yiwen Wang, Chi Xue, Xiangkun Hu, Xi Fang, Guimin Dong, Chandan K. Reddy
2025 J jnl
RUST-BENCH: Benchmarking LLM Reasoning on Unstructured Text within Structured Tables.
CoRR
Nikhil Abhyankar, Purvi Chaurasia, Sanchit Kabra, Ananya Srivastava, Vivek Gupta, Chandan K. Reddy
2025 J jnl
Reasoning Towards Fairness: Mitigating Bias in Language Models through Reasoning-Guided Fine-Tuning.
CoRR
Sanchit Kabra, Akshita Jha, Chandan K. Reddy
2025 J jnl
SATA-BENCH: Select All That Apply Benchmark for Multiple Choice Questions.
CoRR
Weijie Xu, Shixian Cui, Xi Fang, Chi Xue, Stephanie Eckman, Chandan K. Reddy
2025 J jnl
SURFACEBENCH: Can Self-Evolving LLMs Find the Equations of 3D Scientific Surfaces?
CoRR
Sanchit Kabra, Shobhnik Kriplani, Parshin Shojaee, Chandan K. Reddy
2025 A* conf
Sycophancy Mitigation Through Reinforcement Learning with Uncertainty-Aware Adaptive Reasoning Trajectories.
EMNLP
Mohammad Beigi, Ying Shen, Parshin Shojaee, Qifan Wang, Zichao Wang, Chandan K. Reddy, Ming Jin, Lifu Huang
2025 J jnl
Sycophancy Mitigation Through Reinforcement Learning with Uncertainty-Aware Adaptive Reasoning Trajectories.
CoRR
Mohammad Beigi, Ying Shen, Parshin Shojaee, Qifan Wang, Zichao Wang, Chandan K. Reddy, Ming Jin, Lifu Huang
2025 J jnl
The Personalization Trap: How User Memory Alters Emotional Reasoning in LLMs.
CoRR
Xi Fang, Weijie Xu, Yuchong Zhang, Stephanie Eckman, Scott Nickleach, Chandan K. Reddy
2025 A* conf
Towards Scientific Discovery with Generative AI: Progress, Opportunities, and Challenges.
AAAI
Chandan K. Reddy, Parshin Shojaee
2024 — conf
An Interpretable Ensemble of Graph and Language Models for Improving Search Relevance in E-Commerce.
WWW (Companion Volume)
Nurendra Choudhary, Edward W. Huang, Karthik Subbian, Chandan K. Reddy
2024 J jnl
An Interpretable Ensemble of Graph and Language Models for Improving Search Relevance in E-Commerce.
CoRR
Nurendra Choudhary, Edward W. Huang, Karthik Subbian, Chandan K. Reddy
2024 J jnl
Beyond the Surface: A Global-Scale Analysis of Visual Stereotypes in Text-to-Image Generation.
CoRR
Akshita Jha, Vinodkumar Prabhakaran, Remi Denton, Sarah Laszlo, Shachi Dave, Rida Qadri, Chandan K. Reddy, Sunipa Dev
2024 J jnl
Biased or Flawed? Mitigating Stereotypes in Generative Language Models by Addressing Task-Specific Flaws.
CoRR
Akshita Jha, Sanchit Kabra, Chandan K. Reddy
2024 J jnl
Concept Formation and Alignment in Language Models: Bridging Statistical Patterns in Latent Space to Concept Taxonomy.
CoRR
Mehrdad Khatir, Chandan K. Reddy
2024 J jnl
Context-Aware Clustering using Large Language Models.
CoRR
Sindhu Tipirneni, Ravinarayana Adkathimar, Nurendra Choudhary, Gaurush Hiranandani, Rana Ali Amjad, Vassilis N. Ioannidis, Changhe Yuan, Chandan K. Reddy
2024 J jnl
Discovery of Generalizable TBI Phenotypes Using Multivariate Time-Series Clustering.
CoRR
Hamid Ghaderi, Brandon Foreman, Chandan K. Reddy, Vignesh Subbian
2024 J jnl
Discovery of generalizable TBI phenotypes using multivariate time-series clustering.
Comput. Biol. Medicine
Hamid Ghaderi, Brandon Foreman, Chandan K. Reddy, Vignesh Subbian
2024 J jnl
Evolutionary Large Language Model for Automated Feature Transformation.
CoRR
Nanxu Gong, Chandan K. Reddy, Wangyang Ying, Yanjie Fu
2024 J jnl
H-STAR: LLM-driven Hybrid SQL-Text Adaptive Reasoning on Tables.
CoRR
Nikhil Abhyankar, Vivek Gupta, Dan Roth, Chandan K. Reddy
2024 A* conf
KDD workshop on Evaluation and Trustworthiness of Generative AI Models.
KDD
Yuan Ling, Shujing Dong, Yarong Feng, Zongyi Joe Liu, George Karypis, Chandan K. Reddy
2024 J jnl
Knowledge Graph Enhanced Language Agents for Recommendation.
CoRR
Taicheng Guo, Chaochun Liu, Hai Wang, Varun Mannam, Fang Wang, Xin Chen, Xiangliang Zhang, Chandan K. Reddy
2024 J jnl
LLM-SR: Scientific Equation Discovery via Programming with Large Language Models.
CoRR
Parshin Shojaee, Kazem Meidani, Shashank Gupta, Amir Barati Farimani, Chandan K. Reddy
2024 J jnl
Mitigating Selection Bias with Node Pruning and Auxiliary Options.
CoRR
Hyeong Kyu Choi, Weijie Xu, Chi Xue, Stephanie Eckman, Chandan K. Reddy
2024 J jnl
Multi-Label Clinical Time-Series Generation via Conditional GAN.
IEEE Trans. Knowl. Data Eng.
Chang Lu, Chandan K. Reddy, Ping Wang, Dong Nie, Yue Ning
2024 A* conf
SNIP: Bridging Mathematical Symbolic and Numeric Realms with Unified Pre-training.
ICLR
Kazem Meidani, Parshin Shojaee, Chandan K. Reddy, Amir Barati Farimani
2024 J jnl
StructCoder: Structure-Aware Transformer for Code Generation.
ACM Trans. Knowl. Discov. Data
Sindhu Tipirneni, Ming Zhu, Chandan K. Reddy
2024 — conf
Synthesizing Conversations from Unlabeled Documents using Automatic Response Segmentation.
ACL (Findings)
Fanyou Wu, Weijie Xu, Chandan K. Reddy, Srinivasan Sengamedu
2024 J jnl
Synthesizing Conversations from Unlabeled Documents using Automatic Response Segmentation.
CoRR
Fanyou Wu, Weijie Xu, Chandan K. Reddy, Srinivasan H. Sengamedu
2024 J jnl
Towards Scientific Discovery with Generative AI: Progress, Opportunities, and Challenges.
CoRR
Chandan K. Reddy, Parshin Shojaee
2024 — conf
ViSAGe: A Global-Scale Analysis of Visual Stereotypes in Text-to-Image Generation.
ACL (1)
Akshita Jha, Vinodkumar Prabhakaran, Remi Denton, Sarah Laszlo, Shachi Dave, Rida Qadri, Chandan K. Reddy, Sunipa Dev
2023 J jnl
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
Hamid Ghaderi, Brandon Foreman, Amin Nayebi, Sindhu Tipirneni, Chandan K. Reddy, Vignesh Subbian
2023 A* conf
A Unification Framework for Euclidean and Hyperbolic Graph Neural Networks.
IJCAI
Mehrdad Khatir, Nurendra Choudhary, Sutanay Choudhury, Khushbu Agarwal, Chandan K. Reddy
2023 J jnl
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
Hamid Ghaderi, Brandon Foreman, Amin Nayebi, Sindhu Tipirneni, Chandan K. Reddy, Vignesh Subbian
2023 A* conf
CodeAttack: Code-Based Adversarial Attacks for Pre-trained Programming Language Models.
AAAI
Akshita Jha, Chandan K. Reddy
2023 J jnl
Complex Logical Reasoning over Knowledge Graphs using Large Language Models.
CoRR
Nurendra Choudhary, Chandan K. Reddy
2023 J jnl
Execution-based Code Generation using Deep Reinforcement Learning.
CoRR
Parshin Shojaee, Aneesh Jain, Sindhu Tipirneni, Chandan K. Reddy
2023 J jnl
Execution-based Code Generation using Deep Reinforcement Learning.
Trans. Mach. Learn. Res.
Parshin Shojaee, Aneesh Jain, Sindhu Tipirneni, Chandan K. Reddy
2023 J jnl
Graph-based Multi-ODE Neural Networks for Spatio-Temporal Traffic Forecasting.
CoRR
Zibo Liu, Parshin Shojaee, Chandan K. Reddy
2023 J jnl
Graph-based Multi-ODE Neural Networks for Spatio-Temporal Traffic Forecasting.
Trans. Mach. Learn. Res.
Zibo Liu, Parshin Shojaee, Chandan K. Reddy
2023 A* conf
Hyperbolic Graph Neural Networks at Scale: A Meta Learning Approach.
NeurIPS
Nurendra Choudhary, Nikhil Rao, Chandan K. Reddy
2023 J jnl
Hyperbolic Graph Neural Networks at Scale: A Meta Learning Approach.
CoRR
Nurendra Choudhary, Nikhil Rao, Chandan K. Reddy
2023 J jnl
Identifying TBI Physiological States by Clustering of Multivariate Clinical Time-Series.
CoRR
Hamid Ghaderi, Brandon Foreman, Amin Nayebi, Sindhu Tipirneni, Chandan K. Reddy, Vignesh Subbian
2023 A* conf
International Workshop on Multimodal Learning - 2023 Theme: Multimodal Learning with Foundation Models.
KDD
Yuan Ling, Fanyou Wu, Shujing Dong, Yarong Feng, George Karypis, Chandan K. Reddy
2023 J jnl
SNIP: Bridging Mathematical Symbolic and Numeric Realms with Unified Pre-training.
CoRR
Kazem Meidani, Parshin Shojaee, Chandan K. Reddy, Amir Barati Farimani
2023 — conf
SeeGULL: A Stereotype Benchmark with Broad Geo-Cultural Coverage Leveraging Generative Models.
ACL (1)
Akshita Jha, Aida Mostafazadeh Davani, Chandan K. Reddy, Shachi Dave, Vinodkumar Prabhakaran, Sunipa Dev
2023 J jnl
SeeGULL: A Stereotype Benchmark with Broad Geo-Cultural Coverage Leveraging Generative Models.
CoRR
Akshita Jha, Aida Mostafazadeh Davani, Chandan K. Reddy, Shachi Dave, Vinodkumar Prabhakaran, Sunipa Dev
2023 J jnl
Self-Supervised Graph Learning With Hyperbolic Embedding for Temporal Health Event Prediction.
IEEE Trans. Cybern.
Chang Lu, Chandan K. Reddy, Yue Ning
2023 J jnl
Supervised Contrastive Learning for Interpretable Long-Form Document Matching.
ACM Trans. Knowl. Discov. Data
Akshita Jha, Vineeth Rakesh, Jaideep Chandrashekar, Adithya Samavedhi, Chandan K. Reddy
2023 A* conf
Towards Semi-Structured Automatic ICD Coding via Tree-based Contrastive Learning.
NeurIPS
Chang Lu, Chandan K. Reddy, Ping Wang, Yue Ning
2023 J jnl
Towards Semi-Structured Automatic ICD Coding via Tree-based Contrastive Learning.
CoRR
Chang Lu, Chandan K. Reddy, Ping Wang, Yue Ning
2023 — conf
Transformer-based Models for Long-Form Document Matching: Challenges and Empirical Analysis.
EACL (Findings)
Akshita Jha, Adithya Samavedhi, Vineeth Rakesh, Jaideep Chandrashekar, Chandan K. Reddy
2023 J jnl
Transformer-based Models for Long-Form Document Matching: Challenges and Empirical Analysis.
CoRR
Akshita Jha, Adithya Samavedhi, Vineeth Rakesh, Jaideep Chandrashekar, Chandan K. Reddy
2023 A* conf
Transformer-based Planning for Symbolic Regression.
NeurIPS
Parshin Shojaee, Kazem Meidani, Amir Barati Farimani, Chandan K. Reddy
2023 J jnl
Transformer-based Planning for Symbolic Regression.
CoRR
Parshin Shojaee, Kazem Meidani, Amir Barati Farimani, Chandan K. Reddy
2023 J jnl
WindowSHAP: An efficient framework for explaining time-series classifiers based on Shapley values.
J. Biomed. Informatics
Amin Nayebi, Sindhu Tipirneni, Chandan K. Reddy, Brandon Foreman, Vignesh Subbian
2022 A conf
ANTHEM: Attentive Hyperbolic Entity Model for Product Search.
WSDM
Nurendra Choudhary, Nikhil Rao, Sumeet Katariya, Karthik Subbian, Chandan K. Reddy
2022 — conf
Accepted Tutorials at The Web Conference 2022.
WWW (Companion Volume)
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 Lyu, 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
2022 Misc conf
An Empirical Comparison of Explainable Artificial Intelligence Methods for Clinical Data: A Case Study on Traumatic Brain Injury.
AMIA
Amin Nayebi, Sindhu Tipirneni, Brandon Foreman, Chandan K. Reddy, Vignesh Subbian
2022 J jnl
An Empirical Comparison of Explainable Artificial Intelligence Methods for Clinical Data: A Case Study on Traumatic Brain Injury.
CoRR
Amin Nayebi, Sindhu Tipirneni, Brandon Foreman, Chandan K. Reddy, Vignesh Subbian
2022 — conf
Attention-based aspect reasoning for knowledge base question answering on clinical notes.
BCB
Ping Wang, Tian Shi, Khushbu Agarwal, Sutanay Choudhury, Chandan K. Reddy
2022 J jnl
CodeAttack: Code-based Adversarial Attacks for Pre-Trained Programming Language Models.
CoRR
Akshita Jha, Chandan K. Reddy
2022 J jnl
Corpus-level and Concept-based Explanations for Interpretable Document Classification.
ACM Trans. Knowl. Discov. Data
Tian Shi, Xuchao Zhang, Ping Wang, Chandan K. Reddy
2022 J jnl
Differentially private synthetic medical data generation using convolutional GANs.
Inf. Sci.
Amirsina Torfi, Edward A. Fox, Chandan K. Reddy
2022 A* conf
Graph-based Multilingual Language Model: Leveraging Product Relations for Search Relevance.
KDD
Nurendra Choudhary, Nikhil Rao, Karthik Subbian, Chandan K. Reddy
2022 — conf
GraphZoo: A Development Toolkit for Graph Neural Networks with Hyperbolic Geometries.
WWW (Companion Volume)
Anoushka Vyas, Nurendra Choudhary, Mehrdad Khatir, Chandan K. Reddy
2022 A* conf
Hyperbolic Neural Networks: Theory, Architectures and Applications.
KDD
Nurendra Choudhary, Nikhil Rao, Karthik Subbian, Srinivasan H. Sengamedu, Chandan K. Reddy
2022 J jnl
Multi-Label Clinical Time-Series Generation via Conditional GAN.
CoRR
Chang Lu, Chandan K. Reddy, Ping Wang, Dong Nie, Yue Ning
2022 A* conf
Multilingual Code Snippets Training for Program Translation.
AAAI
Ming Zhu, Karthik Suresh, Chandan K. Reddy
2022 J jnl
Pseudo-Poincaré: A Unification Framework for Euclidean and Hyperbolic Graph Neural Networks.
CoRR
Mehrdad Khatir, Nurendra Choudhary, Sutanay Choudhury, Khushbu Agarwal, Chandan K. Reddy
2022 J jnl
Self-Supervised Transformer for Sparse and Irregularly Sampled Multivariate Clinical Time-Series.
ACM Trans. Knowl. Discov. Data
Sindhu Tipirneni, Chandan K. Reddy
2022 J jnl
Self-supervised Short-text Modeling through Auxiliary Context Generation.
ACM Trans. Intell. Syst. Technol.
Nurendra Choudhary, Charu C. Aggarwal, Karthik Subbian, Chandan K. Reddy
2022 J jnl
Shopping Queries Dataset: A Large-Scale ESCI Benchmark for Improving Product Search.
CoRR
Chandan K. Reddy, Lluís Màrquez, Fran Valero, Nikhil Rao, Hugo Zaragoza, Sambaran Bandyopadhyay, Arnab Biswas, Anlu Xing, Karthik Subbian
2022 J jnl
StructCoder: Structure-Aware Transformer for Code Generation.
CoRR
Sindhu Tipirneni, Ming Zhu, Chandan K. Reddy
2022 J jnl
Text Enriched Sparse Hyperbolic Graph Convolutional Networks.
CoRR
Nurendra Choudhary, Nikhil Rao, Karthik Subbian, Chandan K. Reddy
2022 J jnl
Towards Scalable Hyperbolic Neural Networks using Taylor Series Approximations.
CoRR
Nurendra Choudhary, Chandan K. Reddy
2022 — conf
Unified Energy-Based Generative Network for Supervised Image Hashing.
ACCV (6)
Khoa D. Doan, Sarkhan Badirli, Chandan K. Reddy
2022 J jnl
WindowSHAP: An Efficient Framework for Explaining Time-series Classifiers based on Shapley Values.
CoRR
Amin Nayebi, Sindhu Tipirneni, Chandan K. Reddy, Brandon Foreman, Vignesh Subbian
2022 J jnl
XLCoST: A Benchmark Dataset for Cross-lingual Code Intelligence.
CoRR
Ming Zhu, Aneesh Jain, Karthik Suresh, Roshan Ravindran, Sindhu Tipirneni, Chandan K. Reddy
2021 J jnl
A Novel Tensor-Based Temporal Multi-Task Survival Analysis Model.
IEEE Trans. Knowl. Data Eng.
Ping Wang, Tian Shi, Chandan K. Reddy
2021 A* conf
A Simple and Effective Self-Supervised Contrastive Learning Framework for Aspect Detection.
AAAI
Tian Shi, Liuqing Li, Ping Wang, Chandan K. Reddy
2021 J jnl
Attention-based Aspect Reasoning for Knowledge Base Question Answering on Clinical Notes.
CoRR
Ping Wang, Tian Shi, Khushbu Agarwal, Sutanay Choudhury, Chandan K. Reddy
2021 A* conf
Collaborative Graph Learning with Auxiliary Text for Temporal Event Prediction in Healthcare.
IJCAI
Chang Lu, Chandan K. Reddy, Prithwish Chakraborty, Samantha Kleinberg, Yue Ning
2021 J jnl
Collaborative Graph Learning with Auxiliary Text for Temporal Event Prediction in Healthcare.
CoRR
Chang Lu, Chandan K. Reddy, Prithwish Chakraborty, Samantha Kleinberg, Yue Ning
2021 J jnl
Fair Representation Learning using Interpolation Enabled Disentanglement.
CoRR
Akshita Jha, Bhanukiran Vinzamuri, Chandan K. Reddy
2021 A* conf
Interpretable Graph Similarity Computation via Differentiable Optimal Alignment of Node Embeddings.
SIGIR
Khoa D. Doan, Saurav Manchanda, Suchismit Mahapatra, Chandan K. Reddy
2021 J jnl
Jekyll: Attacking Medical Image Diagnostics using Deep Generative Models.
CoRR
Neal Mangaokar, Jiameng Pu, Parantapa Bhattacharya, Chandan K. Reddy, Bimal Viswanath
2021 J jnl
Neural Abstractive Text Summarization with Sequence-to-Sequence Models.
Trans. Data Sci.
Tian Shi, Yaser Keneshloo, Naren Ramakrishnan, Chandan K. Reddy
2021 A* conf
Probabilistic Entity Representation Model for Reasoning over Knowledge Graphs.
NeurIPS
Nurendra Choudhary, Nikhil Rao, Sumeet Katariya, Karthik Subbian, Chandan K. Reddy
2021 J jnl
Probabilistic Entity Representation Model for Reasoning over Knowledge Graphs.
CoRR
Nurendra Choudhary, Nikhil Rao, Sumeet Katariya, Karthik Subbian, Chandan K. Reddy
2021 Misc conf
Recurrent Neural Network based Time-Series Modeling for Long-term Prognosis Following Acute Traumatic Brain Injury.
AMIA
Amin Nayebi, Sindhu Tipirneni, Brandon Foreman, Jonathan J. Ratcliff, Chandan K. Reddy, Vignesh Subbian
2021 J jnl
Self-Supervised Graph Learning with Hyperbolic Embedding for Temporal Health Event Prediction.
CoRR
Chang Lu, Chandan K. Reddy, Yue Ning
2021 A* conf
Self-Supervised Hyperboloid Representations from Logical Queries over Knowledge Graphs.
WWW
Nurendra Choudhary, Nikhil Rao, Sumeet Katariya, Karthik Subbian, Chandan K. Reddy
2021 A* conf
Self-Supervised Learning of Contextual Embeddings for Link Prediction in Heterogeneous Networks.
WWW
Ping Wang, Khushbu Agarwal, Colby Ham, Sutanay Choudhury, Chandan K. Reddy
2021 J jnl
Self-supervised Transformer for Multivariate Clinical Time-Series with Missing Values.
CoRR
Sindhu Tipirneni, Chandan K. Reddy
2021 J jnl
Supervised Contrastive Learning for Interpretable Long Document Comparison.
CoRR
Akshita Jha, Vineeth Rakesh, Jaideep Chandrashekar, Adithya Samavedhi, Chandan K. Reddy
2021 A* conf
T-Miner: A Generative Approach to Defend Against Trojan Attacks on DNN-based Text Classification.
USENIX Security Symposium
Ahmadreza Azizi, Ibrahim Asadullah Tahmid, Asim Waheed, Neal Mangaokar, Jiameng Pu, Mobin Javed, Chandan K. Reddy, Bimal Viswanath
2021 J jnl
T-Miner: A Generative Approach to Defend Against Trojan Attacks on DNN-based Text Classification.
CoRR
Ahmadreza Azizi, Ibrahim Asadullah Tahmid, Asim Waheed, Neal Mangaokar, Jiameng Pu, Mobin Javed, Chandan K. Reddy, Bimal Viswanath
2021 Misc conf
Tracking the Evolution of COVID-19 via Temporal Comorbidity Analysis from Multi-Modal Data.
AMIA
Sutanay Choudhury, Khushbu Agarwal, Colby Ham, Pritam Mukherjee, Siyi Tang, Sindhu Tipirneni, Veysel Kocaman, Suzanne Tamang, Robert Rallo, Chandan K. Reddy
2021 A* conf
Workshop on Data-Efficient Machine Learning (DeMaL).
KDD
Sumeet Katariya, Nikhil Rao, Chandan K. Reddy
2020 J jnl
A Concept-based Abstraction-Aggregation Deep Neural Network for Interpretable Document Classification.
CoRR
Tian Shi, Xuchao Zhang, Ping Wang, Chandan K. Reddy
2020 J jnl
A Simple and Effective Self-Supervised Contrastive Learning Framework for Aspect Detection.
CoRR
Tian Shi, Liuqing Li, Ping Wang, Chandan K. Reddy
2020 J jnl
Deep Reinforcement Learning for Sequence-to-Sequence Models.
IEEE Trans. Neural Networks Learn. Syst.
Yaser Keneshloo, Tian Shi, Naren Ramakrishnan, Chandan K. Reddy
2020 J jnl
Deliberate Self-Attention Network with Uncertainty Estimation for Multi-Aspect Review Rating Prediction.
CoRR
Tian Shi, Ping Wang, Chandan K. Reddy
2020 J jnl
Differentially Private Synthetic Medical Data Generation using Convolutional GANs.
CoRR
Amirsina Torfi, Edward A. Fox, Chandan K. Reddy
2020 A* conf
Efficient Implicit Unsupervised Text Hashing using Adversarial Autoencoder.
WWW
Khoa D. Doan, Chandan K. Reddy
2020 J jnl
Image Generation Via Minimizing Fréchet Distance in Discriminator Feature Space.
CoRR
Khoa D. Doan, Saurav Manchanda, Fengjiao Wang, S. Sathiya Keerthi, Avradeep Bhowmik, Chandan K. Reddy
2020 J jnl
Image Hashing by Minimizing Independent Relaxed Wasserstein Distance.
CoRR
Khoa D. Doan, Amir Kimiyaie, Saurav Manchanda, Chandan K. Reddy
2020 A conf
Jekyll: Attacking Medical Image Diagnostics using Deep Generative Models.
EuroS&P
Neal Mangaokar, Jiameng Pu, Parantapa Bhattacharya, Chandan K. Reddy, Bimal Viswanath
2020 A* conf
LATTE: Latent Type Modeling for Biomedical Entity Linking.
AAAI
Ming Zhu, Busra Celikkaya, Parminder Bhatia, Chandan K. Reddy
2020 A conf
Language-Agnostic Representation Learning for Product Search on E-Commerce Platforms.
WSDM
Aman Ahuja, Nikhil Rao, Sumeet Katariya, Karthik Subbian, Chandan K. Reddy
2020 A conf
NoiseScope: Detecting Deepfake Images in a Blind Setting.
ACSAC
Jiameng Pu, Neal Mangaokar, Bolun Wang, Chandan K. Reddy, Bimal Viswanath
2020 J jnl
Probabilistic Topic Modeling for Comparative Analysis of Document Collections.
ACM Trans. Knowl. Discov. Data
Ting Hua, Chang-Tien Lu, Jaegul Choo, Chandan K. Reddy
2020 — conf
Question Answering with Long Multiple-Span Answers.
EMNLP (Findings)
Ming Zhu, Aman Ahuja, Da-Cheng Juan, Wei Wei, Chandan K. Reddy
2020 J jnl
Self-Supervised Hyperboloid Representations from Logical Queries over Knowledge Graphs.
CoRR
Nurendra Choudhary, Nikhil Rao, Sumeet Katariya, Karthik Subbian, Chandan K. Reddy
2020 J jnl
Self-Supervised Learning of Contextual Embeddings for Link Prediction in Heterogeneous Networks.
CoRR
Ping Wang, Khushbu Agarwal, Colby Ham, Sutanay Choudhury, Chandan K. Reddy
2020 J jnl
Semi-Supervised Deep Learning Approach for Transportation Mode Identification Using GPS Trajectory Data.
IEEE Trans. Knowl. Data Eng.
Sina Dabiri, Chang-Tien Lu, Kevin P. Heaslip, Chandan K. Reddy
2020 A* conf
Text-to-SQL Generation for Question Answering on Electronic Medical Records.
WWW
Ping Wang, Tian Shi, Chandan K. Reddy
2019 A* conf
A Hierarchical Attention Retrieval Model for Healthcare Question Answering.
WWW
Ming Zhu, Aman Ahuja, Wei Wei, Chandan K. Reddy
2019 J jnl
A Translate-Edit Model for Natural Language Question to SQL Query Generation on Multi-relational Healthcare Data.
CoRR
Ping Wang, Tian Shi, Chandan K. Reddy
2019 — conf
Active Learning Technique for Multimodal Brain Tumor Segmentation Using Limited Labeled Images.
DART/MIL3ID@MICCAI
Dhruv Sharma, Zahil Shanis, Chandan K. Reddy, Samuel Gerber, Andinet Enquobahrie
2019 A conf
Adversarial Factorization Autoencoder for Look-alike Modeling.
CIKM
Khoa D. Doan, Pranjul Yadav, Chandan K. Reddy
2019 — conf
An Attentive Spatio-Temporal Neural Model for Successive Point of Interest Recommendation.
PAKDD (3)
Khoa D. Doan, Guolei Yang, Chandan K. Reddy
2019 A conf
Deep Transfer Reinforcement Learning for Text Summarization.
SDM
Yaser Keneshloo, Naren Ramakrishnan, Chandan K. Reddy
2019 A* conf
Discovering Product Defects and Solutions from Online User Generated Contents.
WWW
Xuan Zhang, Zhilei Qiao, Aman Ahuja, Weiguo Fan, Edward A. Fox, Chandan K. Reddy
2019 A conf
Document-Level Multi-Aspect Sentiment Classification for Online Reviews of Medical Experts.
CIKM
Tian Shi, Vineeth Rakesh, Suhang Wang, Chandan K. Reddy
2019 J jnl
LATTE: Latent Type Modeling for Biomedical Entity Linking.
CoRR
Ming Zhu, Busra Celikkaya, Parminder Bhatia, Chandan K. Reddy
2019 — conf
LeafNATS: An Open-Source Toolkit and Live Demo System for Neural Abstractive Text Summarization.
NAACL-HLT (Demonstrations)
Tian Shi, Ping Wang, Chandan K. Reddy
2019 J jnl
LeafNATS: An Open-Source Toolkit and Live Demo System for Neural Abstractive Text Summarization.
CoRR
Tian Shi, Ping Wang, Chandan K. Reddy
2019 J jnl
Machine Learning for Survival Analysis: A Survey.
ACM Comput. Surv.
Ping Wang, Yan Li, Chandan K. Reddy
2019 — conf
Spatio-Temporal Event Detection from Multiple Data Sources.
PAKDD (1)
Aman Ahuja, Ashish Baghudana, Wei Lu, Edward A. Fox, Chandan K. Reddy
2018 A* conf
A Sparse Topic Model for Extracting Aspect-Specific Summaries from Online Reviews.
WWW
Vineeth Rakesh, Weicong Ding, Aman Ahuja, Nikhil Rao, Yifan Sun, Chandan K. Reddy
2018 J jnl
Deep Reinforcement Learning For Sequence to Sequence Models.
CoRR
Yaser Keneshloo, Tian Shi, Naren Ramakrishnan, Chandan K. Reddy
2018 J jnl
Deep Transfer Reinforcement Learning for Text Summarization.
CoRR
Yaser Keneshloo, Naren Ramakrishnan, Chandan K. Reddy
2018 J jnl
DyLink2Vec: Effective Feature Representation for Link Prediction in Dynamic Networks.
CoRR
Mahmudur Rahman, Tanay Kumar Saha, Mohammad Al Hasan, Kevin S. Xu, Chandan K. Reddy
2018 J jnl
Localized user-driven topic discovery via boosted ensemble of nonnegative matrix factorization.
Knowl. Inf. Syst.
Sangho Suh, Sungbok Shin, Joonseok Lee, Chandan K. Reddy, Jaegul Choo
2018 J jnl
Neural Abstractive Text Summarization with Sequence-to-Sequence Models.
CoRR
Tian Shi, Yaser Keneshloo, Naren Ramakrishnan, Chandan K. Reddy
2018 J jnl
Predicting
Soc. Netw. Anal. Min.
Vachik S. Dave, Mohammad Al Hasan, Baichuan Zhang, Chandan K. Reddy
2018 A conf
Recurrent Spatio-Temporal Point Process for Check-in Time Prediction.
CIKM
Guolei Yang, Ying Cai, Chandan K. Reddy
2018 A conf
STAPLE: Spatio-Temporal Precursor Learning for Event Forecasting.
SDM
Yue Ning, Rongrong Tao, Chandan K. Reddy, Huzefa Rangwala, James C. Starz, Naren Ramakrishnan
2018 A* conf
Short-Text Topic Modeling via Non-negative Matrix Factorization Enriched with Local Word-Context Correlations.
WWW
Tian Shi, Kyeongpil Kang, Jaegul Choo, Chandan K. Reddy
2018 A* conf
Social Media based Simulation Models for Understanding Disease Dynamics.
IJCAI
Ting Hua, Chandan K. Reddy, Lei Zhang, Lijing Wang, Liang Zhao, Chang-Tien Lu, Naren Ramakrishnan
2018 A* conf
Spatio-Temporal Check-in Time Prediction with Recurrent Neural Network based Survival Analysis.
IJCAI
Guolei Yang, Ying Cai, Chandan K. Reddy
2017 A* conf
A Probabilistic Geographical Aspect-Opinion Model for Geo-Tagged Microblogs.
ICDM
Aman Ahuja, Wei Wei, Wei Lu, Kathleen M. Carley, Chandan K. Reddy
2017 A conf
How Fast Will You Get a Response? Predicting Interval Time for Reciprocal Link Creation.
ICWSM
Vachik S. Dave, Mohammad Al Hasan, Chandan K. Reddy
2017 A* conf
Local Topic Discovery via Boosted Ensemble of Nonnegative Matrix Factorization.
IJCAI
Sangho Suh, Jaegul Choo, Joonseok Lee, Chandan K. Reddy
2017 J jnl
Machine Learning for Survival Analysis: A Survey.
CoRR
Ping Wang, Yan Li, Chandan K. Reddy
2017 A* conf
PIVE: Per-Iteration Visualization Environment for Real-Time Interactions with Dimension Reduction and Clustering.
AAAI
Hannah Kim, Jaegul Choo, Changhyun Lee, Hanseung Lee, Chandan K. Reddy, Haesun Park
2017 J jnl
Pre-Processing Censored Survival Data Using Inverse Covariance Matrix Based Calibration.
IEEE Trans. Knowl. Data Eng.
Bhanukiran Vinzamuri, Yan Li, Chandan K. Reddy
2017 — conf
Prediction and imputation in irregularly sampled clinical time series data using hierarchical linear dynamical models.
EMBC
Abhishek Sengupta, A. P. Prathosh, Satya Narayan Shukla, Vaibhav Rajan, Chandan K. Reddy
2017 A conf
Probabilistic Social Sequential Model for Tour Recommendation.
WSDM
Vineeth Rakesh, Niranjan Jadhav, Alexander Kotov, Chandan K. Reddy
2016 J jnl
A Bayesian Perspective on Early Stage Event Prediction in Longitudinal Data.
IEEE Trans. Knowl. Data Eng.
Mahtab Jahanbani Fard, Ping Wang, Sanjay Chawla, Chandan K. Reddy
2016 A* conf
A Multi-Task Learning Formulation for Survival Analysis.
KDD
Yan Li, Jie Wang, Jieping Ye, Chandan K. Reddy
2016 J jnl
A distributed ensemble approach for mining healthcare data under privacy constraints.
Inf. Sci.
Yan Li, Changxin Bai, Chandan K. Reddy
2016 A conf
CRISP: Consensus Regularized Selection based Prediction.
CIKM
Ping Wang, Karthik K. Padthe, Bhanukiran Vinzamuri, Chandan K. Reddy
2016 — conf
Early-Stage Event Prediction for Longitudinal Data.
PAKDD (1)
Mahtab Jahanbani Fard, Sanjay Chawla, Chandan K. Reddy
2016 A* conf
Feature Grouping Using Weighted l1 Norm for High-Dimensional Data.
ICDM
Bhanukiran Vinzamuri, Karthik K. Padthe, Chandan K. Reddy
2016 A* conf
L-EnsNMF: Boosted Local Topic Discovery via Ensemble of Nonnegative Matrix Factorization.
ICDM
Sangho Suh, Jaegul Choo, Joonseok Lee, Chandan K. Reddy
2016 J jnl
Predicting Complications in Critical Care Using Heterogeneous Clinical Data.
IEEE Access
Vijay Huddar, Bapu Koundinya Desiraju, Vaibhav Rajan, Sakyajit Bhattacharya, Shourya Roy, Chandan K. Reddy
2016 A conf
Probabilistic Group Recommendation Model for Crowdfunding Domains.
WSDM
Vineeth Rakesh, Wang-Chien Lee, Chandan K. Reddy
2016 A conf
Project Success Prediction in Crowdfunding Environments.
WSDM
Yan Li, Vineeth Rakesh, Chandan K. Reddy
2016 J jnl
RODS: Rarity based Outlier Detection in a Sparse Coding Framework.
IEEE Trans. Knowl. Data Eng.
Jayanta K. Dutta, Bonny Banerjee, Chandan K. Reddy
2016 A conf
Regularized Parametric Regression for High-dimensional Survival Analysis.
SDM
Yan Li, Kevin S. Xu, Chandan K. Reddy
2016 A conf
Regularized Weighted Linear Regression for High-dimensional Censored Data.
SDM
Yan Li, Bhanukiran Vinzamuri, Chandan K. Reddy
2016 A conf
Survival Analysis based Framework for Early Prediction of Student Dropouts.
CIKM
Sattar Ameri, Mahtab Jahanbani Fard, Ratna Babu Chinnam, Chandan K. Reddy
2016 A* conf
Transfer Learning for Survival Analysis via Efficient L2, 1-Norm Regularized Cox Regression.
ICDM
Yan Li, Lu Wang, Jie Wang, Jieping Ye, Chandan K. Reddy
2016 J jnl
Transfer learning for class imbalance problems with inadequate data.
Knowl. Inf. Syst.
Samir Al-Stouhi, Chandan K. Reddy
2015 — ch.
A Review of Clinical Prediction Models.
Healthcare Data Analytics
Chandan K. Reddy, Yan Li
2015 J jnl
A survey on platforms for big data analytics.
J. Big Data
Dilpreet Singh, Chandan K. Reddy
2015 — ch.
An Introduction to Healthcare Data Analytics.
Healthcare Data Analytics
Chandan K. Reddy, Charu C. Aggarwal
2015 J jnl
Biclustering neighborhood-based collaborative filtering method for top-n recommender systems.
Knowl. Inf. Syst.
Faris Alqadah, Chandan K. Reddy, Junling Hu, Hatim F. Alqadah
2015 — ch.
Clinical Decision Support Systems.
Healthcare Data Analytics
Martin Alther, Chandan K. Reddy
2015 J jnl
Constrained elastic net based knowledge transfer for healthcare information exchange.
Data Min. Knowl. Discov.
Yan Li, Bhanukiran Vinzamuri, Chandan K. Reddy
2015 J jnl
Doubly supervised embedding based on class labels and intrinsic clusters for high-dimensional data visualization.
Neurocomputing
Hannah Kim, Jaegul Choo, Chandan K. Reddy, Haesun Park
2015 — ch.
Electronic Health Records: A Survey.
Healthcare Data Analytics
Rajiur Rahman, Chandan K. Reddy
2015 A conf
Geographical Latent Variable Models for Microblog Retrieval.
ECIR
Alexander Kotov, Vineeth Rakesh, Eugene Agichtein, Chandan K. Reddy
2015 — book
Healthcare Data Analytics.
Chandan K. Reddy, Charu C. Aggarwal
2015 J jnl
Predicting gene functions from multiple biological sources using novel ensemble methods.
Int. J. Data Min. Bioinform.
Chandan K. Reddy, Mohammad S. Aziz
2015 A conf
Project Recommendation Using Heterogeneous Traits in Crowdfunding.
ICWSM
Vineeth Rakesh, Jaegul Choo, Chandan K. Reddy
2015 A* conf
Simultaneous Discovery of Common and Discriminative Topics via Joint Nonnegative Matrix Factorization.
KDD
Hannah Kim, Jaegul Choo, Jingu Kim, Chandan K. Reddy, Haesun Park
2015 J jnl
Weakly supervised nonnegative matrix factorization for user-driven clustering.
Data Min. Knowl. Discov.
Jaegul Choo, Changhyun Lee, Chandan K. Reddy, Haesun Park
2014 A conf
Active Learning based Survival Regression for Censored Data.
CIKM
Bhanukiran Vinzamuri, Yan Li, Chandan K. Reddy
2014 — book
Data Clustering: Algorithms and Applications
Charu C. Aggarwal, Chandan K. Reddy
2014 J jnl
Efficient mining of discriminative co-clusters from gene expression data.
Knowl. Inf. Syst.
Omar Odibat, Chandan K. Reddy
2014 A conf
Multi-Task Clustering using Constrained Symmetric Non-Negative Matrix Factorization.
SDM
Samir Al-Stouhi, Chandan K. Reddy
2014 — conf
PIVE: Per-Iteration visualization environment for supporting real-time interactions with computational methods.
IEEE VAST
Jaegul Choo, Changhyun Lee, Hannah Kim, Hanseung Lee, Chandan K. Reddy, Barry L. Drake, Haesun Park
2014 A conf
Personalized Recommendation of Twitter Lists using Content and Network Information.
ICWSM
Vineeth Rakesh, Dilpreet Singh, Bhanukiran Vinzamuri, Chandan K. Reddy
2013 — ch.
A Survey of Partitional and Hierarchical Clustering Algorithms.
Data Clustering: Algorithms and Applications
Chandan K. Reddy, Bhanukiran Vinzamuri
2013 A* conf
Big data analytics for healthcare.
KDD
Jimeng Sun, Chandan K. Reddy
2013 — ch.
Clustering Biological Data.
Data Clustering: Algorithms and Applications
Chandan K. Reddy, Mohammad Al Hasan, Mohammed J. Zaki
2013 A* conf
Cox Regression with Correlation Based Regularization for Electronic Health Records.
ICDM
Bhanukiran Vinzamuri, Chandan K. Reddy
2013 — ch.
Educational and Software Resources for Data Clustering.
Data Clustering: Algorithms and Applications
Charu C. Aggarwal, Chandan K. Reddy
2013 J jnl
Introduction to the special section on intelligent systems for health informatics.
ACM Trans. Intell. Syst. Technol.
Chandan K. Reddy, Cristopher C. Yang
2013 B conf
Location-specific tweet detection and topic summarization in Twitter.
ASONAM
Vineeth Rakesh, Chandan K. Reddy, Dilpreet Singh, Ramachandran M. S.
2013 J jnl
Systems analysis reveals a transcriptional reversal of the mesenchymal phenotype induced by SNAIL-inhibitor GN-25.
BMC Syst. Biol.
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
2013 J jnl
UTOPIAN: User-Driven Topic Modeling Based on Interactive Nonnegative Matrix Factorization.
IEEE Trans. Vis. Comput. Graph.
Jaegul Choo, Changhyun Lee, Chandan K. Reddy, Haesun Park
2012 — conf
Exploiting Label Dependency for Hierarchical Multi-label Classification.
PAKDD (1)
Noor Alaydie, Chandan K. Reddy, Farshad Fotouhi
2012 B conf
Label Space Transfer Learning.
ICTAI
Samir Al-Stouhi, Chandan K. Reddy, David E. Lanfear
2012 A conf
Query-based Biclustering using Formal Concept Analysis.
SDM
Faris Alqadah, Joel S. Bader, Rajul Anand, Chandan K. Reddy
2012 J jnl
Ranking differential Hubs in gene Co-Expression Networks.
J. Bioinform. Comput. Biol.
Omar Odibat, Chandan K. Reddy
2012 J jnl
Scalable and Parallel Boosting with MapReduce.
IEEE Trans. Knowl. Data Eng.
Indranil Palit, Chandan K. Reddy
2012 J jnl
Tax Collections Optimization for New York State.
Interfaces
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
2011 — conf
A Bayesian integration model for improved gene functional inference from heterogeneous data sources.
BCB
Noor Alaydie, Chandan K. Reddy, Farshad Fotouhi
2011 A conf
A Generalized Framework for Mining Arbitrarily Positioned Overlapping Co-clusters.
SDM
Omar Odibat, Chandan K. Reddy
2011 — conf
Adaptive Boosting for Transfer Learning Using Dynamic Updates.
ECML/PKDD (1)
Samir Al-Stouhi, Chandan K. Reddy
2011 — conf
Constrained Logistic Regression for Discriminative Pattern Mining.
ECML/PKDD (1)
Rajul Anand, Chandan K. Reddy
2011 — conf
Graph-Based Clustering with Constraints.
PAKDD (2)
Rajul Anand, Chandan K. Reddy
2011 J jnl
Multi-resolution boosting for classification and regression problems.
Knowl. Inf. Syst.
Chandan K. Reddy, Jin Hyeong Park
2011 — conf
Ranking differential genes in co-expression networks.
BCB
Omar Odibat, Chandan K. Reddy
2010 — conf
A Robust Seedless Algorithm for Correlation Clustering.
PAKDD (1)
Mohammad S. Aziz, Chandan K. Reddy
2010 — conf
Differential biclustering for gene expression analysis.
BCB
Omar Odibat, Chandan K. Reddy, Craig N. Giroux
2010 J jnl
Learning mixture models via component-wise parameter smoothing.
Comput. Stat. Data Anal.
Chandan K. Reddy, Bala Rajaratnam
2010 J jnl
Modeling local nonlinear correlations using subspace principal curves.
Stat. Anal. Data Min.
Chandan K. Reddy, Mohammad S. Aziz
2010 — conf
Noise and Outlier Filtering in Heterogeneous Medical Data Sources.
DEXA Workshops
Noor Alaydie, Farshad Fotouhi, Chandan K. Reddy, Hamid Soltanian-Zadeh
2010 A* conf
Optimizing debt collections using constrained reinforcement learning.
KDD
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
2010 — conf
Parallelized Boosting with Map-Reduce.
ICDM Workshops
Indranil Palit, Chandan K. Reddy
2010 A conf
Robust prediction from multiple heterogeneous data sources with partial information.
CIKM
Mohammad S. Aziz, Chandan K. Reddy
2010 A conf
p-ISOMAP: An Efficient Parametric Update for ISOMAP for Visual Analytics.
SDM
Jaegul Choo, Chandan K. Reddy, Hanseung Lee, Haesun Park
2009 — conf
Differential Predictive Modeling for Racial Disparities in Breast Cancer.
BIBM
Indranil Palit, Chandan K. Reddy, Kendra L. Schwartz
2009 A conf
Identifying Information-Rich Subspace Trends in High-Dimensional Data.
SDM
Snehal Pokharkar, Chandan K. Reddy
2009 B conf
Multi-resolution Boosting for Classification and Regression Problems.
PAKDD
Chandan K. Reddy, Jin Hyeong Park
2009 — ch.
Theory and Practice of Expectation Maximization (EM) Algorithm.
Encyclopedia of Data Warehousing and Mining
Chandan K. Reddy, Bala Rajaratnam
2008 — conf
Boosting Methods for Protein Fold Recognition: An Empirical Comparison.
BIBM
Yazhene Krishnaraj, Chandan K. Reddy
2008 B conf
Component-wise parameter smoothing for learning mixture models.
ICPR
Chandan K. Reddy, Bala Rajaratnam
2008 — conf
Generating hypotheses of trends in high-dimensional data skeletons.
IEEE VAST
Chandan K. Reddy, Snehal Pokharkar, Tin Kam Ho
2008 C conf
Retrieval and ranking of biomedical images using boosted haar features.
BIBE
Chandan K. Reddy, Fahima A. Bhuyan
2008 — conf
Scale-Space Kernels for Additive Modeling.
SSPR/SPR
Chandan K. Reddy, Jin Hyeong Park
2008 J jnl
TRUST-TECH-Based Expectation Maximization for Learning Finite Mixture Models.
IEEE Trans. Pattern Anal. Mach. Intell.
Chandan K. Reddy, Hsiao-Dong Chiang, Bala Rajaratnam
2007 — conf
Looking for Great Ideas: Analyzing the Innovation Jam.
WebKDD/SNAKDD
Wojciech Gryc, Mary E. Helander, Richard D. Lawrence, Yan Liu, Claudia Perlich, Chandan K. Reddy, Saharon Rosset
2007 — conf
Scale-Space Based Weak Regressors for Boosting.
ECML
Jin Hyeong Park, Chandan K. Reddy
2007 B conf
TRUST-TECH Based Neural Network Training.
IJCNN
Hsiao-Dong Chiang, Chandan K. Reddy
2007 J jnl
TRUST-TECH based Methods for Optimization and Learning
CoRR
Chandan K. Reddy
2006 J jnl
A Stability Boundary Based Method for Finding Saddle Points on Potential Energy Surfaces.
J. Comput. Biol.
Chandan K. Reddy, Hsiao-Dong Chiang
2006 J jnl
Refining motifs by improving information content scores using neighborhood profile search.
Algorithms Mol. Biol.
Chandan K. Reddy, Yao-Chung Weng, Hsiao-Dong Chiang
2006 A* conf
Stability Region Based Expectation Maximization for Model-based Clustering.
ICDM
Chandan K. Reddy, Hsiao-Dong Chiang, Bala Rajaratnam
2005 Misc conf
Finding saddle points using stability boundaries.
SAC
Chandan K. Reddy, Hsiao-Dong Chiang
2004 — conf
Mobile Face Capture for Virtual Face Videos.
CVPR Workshops
Chandan K. Reddy, George C. Stockman, Jannick P. Rolland, Frank A. Biocca