Large Scale Web Page Optimization of Virtual Labs. - Jatin Agarwal; Utkarsh Rastogiy; Prateek Pandey; Nurendra Choudhary; Venkatesh Choppella; Raghu Reddy (T4E, 2014)

Any Time Virtual Labs: On Portable Media and as Debian Packages. - Nurendra Choudhary; Venkatesh Choppella; Raghu Reddy; Thirumal Ravula (T4E, 2014)

Enhanced Sentiment Classification of Telugu Text using ML Techniques. - Sandeep Sricharan Mukku; Nurendra Choudhary; Radhika Mamidi (SAAIP@IJCAI, 2016)

Sentiment Analysis of Code-Mixed Languages Leveraging Resource Rich Languages. - Nurendra Choudhary; Rajat Singh; Ishita Bindlish; Manish Shrivastava 001 (CICLing (2), 2018)

Emotions Are Universal: Learning Sentiment Based Representations of Resource-Poor Languages Using Siamese Networks. - Nurendra Choudhary; Rajat Singh; Ishita Bindlish; Manish Shrivastava 001 (CICLing (2), 2018)

Contrastive Learning of Emoji-Based Representations for Resource-Poor Languages. - Nurendra Choudhary; Rajat Singh; Ishita Bindlish; Manish Shrivastava 001 (CICLing (2), 2018)

Neural Network Architecture for Credibility Assessment of Textual Claims (Best Paper Award, First Place). - Nurendra Choudhary; Rajat Singh; Ishita Bindlish; Manish Shrivastava 001 (CICLing (2), 2018)

Automatic Normalization of Word Variations in Code-Mixed Social Media Text. - Rajat Singh; Nurendra Choudhary; Manish Shrivastava 001 (CICLing (1), 2018)

Twitter corpus of Resource-Scarce Languages for Sentiment Analysis and Multilingual Emoji Prediction. - Nurendra Choudhary; Rajat Singh; Vijjini Anvesh Rao; Manish Shrivastava 001 (COLING, 2018)

Neural Network Architecture for Credibility Assessment of Textual Claims. - Rajat Singh; Nurendra Choudhary; Ishita Bindlish; Manish Shrivastava 001 (CoRR, 2018)

Cross-Lingual Task-Specific Representation Learning for Text Classification in Resource Poor Languages. - Nurendra Choudhary; Rajat Singh; Manish Shrivastava 001 (CoRR, 2018)

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Multimodal Representation Learning for Textual Reasoning over Knowledge Graphs. - Nurendra Choudhary (2023)

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

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

All Against Some: Efficient Integration of Large Language Models for Message Passing in Graph Neural Networks. - Ajay Jaiswal; Nurendra Choudhary; Ravinarayana Adkathimar; Muthu P. Alagappan; Gaurush Hiranandani; Ying Ding 001; Zhangyang Wang; Edward W. Huang; Karthik Subbian (CoRR, 2024)

Unleashing the Power of LLMs as Multi-Modal Encoders for Text and Graph-Structured Data. - Jiacheng Lin; Kun Qian 018; Haoyu Han; Nurendra Choudhary; Tianxin Wei; Zhongruo Wang; Sahika Genc; Edward W. Huang; Sheng Wang 012; Karthik Subbian; Danai Koutra; Jimeng Sun 001 (CoRR, 2024)

An Efficient Plugin Method for Metric Optimization of Black-Box Models. - Siddartha Devic; Nurendra Choudhary; Anirudh Srinivasan; Sahika Genc; Branislav Kveton; Gaurush Hiranandani (CoRR, 2025)

Optimas: Optimizing Compound AI Systems with Globally Aligned Local Rewards. - Shirley Wu; Parth Sarthi; Shiyu Zhao; Aaron Lee; Herumb Shandilya; Adrian Mladenic Grobelnik; Nurendra Choudhary; Edward W. Huang; Karthik Subbian; Linjun Zhang; Diyi Yang; James Zou 001; et al. (CoRR, 2025)