| 2026 | WACV | Segmentation-Aware Latent Diffusion for Satellite Image Super-Resolution: Enabling Smallholder Farm Boundary Delineation. | Aditi Agarwal, Anjali Jain, Nikita Saxena, Ishan Deshpande, Michal Kazmierski, Abigail Annkah, Nadav Sherman, Karthikeyan Shanmugam, Alok Talekar, Vaibhav Rajan |
| 2026 | WACV | X-JEPA: A Novel Joint Learning Cross-Modal Predictive Alignment Framework for Remote Sensing Image Retrieval. | Shabnam Choudhury, Yash Salunkhe, Vaibhav Rajan, Subhasis Chaudhuri, Biplab Banerjee |
| 2025 | ICLR | GANDALF: Generative AttentioN based Data Augmentation and predictive modeLing Framework for personalized cancer treatment. | Aishwarya Jayagopal, Yanrong Zhang, Robert John Walsh, Tuan Zea Tan, Anand D. Jeyasekharan, Vaibhav Rajan |
| 2024 | ICLR | Encoding Unitig-level Assembly Graphs with Heterophilous Constraints for Metagenomic Contigs Binning. | Hansheng Xue, Vijini Mallawaarachchi, Lexing Xie, Vaibhav Rajan |
| 2024 | ICML | WISER: Weak Supervision and Supervised Representation Learning to Improve Drug Response Prediction in Cancer. | Kumar Shubham, Aishwarya Jayagopal, Syed Mohammed Danish, Prathosh A. P., Vaibhav Rajan |
| 2024 | KDD | Personalised Drug Identifier for Cancer Treatment with Transformers using Auxiliary Information. | Aishwarya Jayagopal, Hansheng Xue, Ziyang He, Robert J. Walsh, Krishna Kumar Hariprasannan, David Shao Peng Tan, Tuan Zea Tan, Jason J. Pitt, Anand D. Jeyasekharan, Vaibhav Rajan |
| 2022 | AAAI | RepBin: Constraint-Based Graph Representation Learning for Metagenomic Binning. | Hansheng Xue, Vijini Mallawaarachchi, Yujia Zhang, Vaibhav Rajan, Yu Lin |
| 2022 | ICIS | Towards a Theory-Based Evaluation of Explainable Predictions in Healthcare. | Suparna Ghanvatkar, Vaibhav Rajan |
| 2022 | ICIS | Designing a Healthcare QA Assistant: A Knowledge Based Approach. | Prakash Chandra Sukhwal, Atreyi Kankanhalli, Vaibhav Rajan |
| 2021 | ICIS | Expect the Unexpected: Engaging Users via Serendipitous Recommendations. | Wei Cui, Vaibhav Rajan, Zhenhui Jiang |
| 2021 | ICIS | Dependency Modeling with Copulas in Multi-Armed Bandits. | Siva Rajesh Kasa, Vaibhav Rajan |
| 2021 | WWW | Multiplex Bipartite Network Embedding using Dual Hypergraph Convolutional Networks. | Hansheng Xue, Luwei Yang, Vaibhav Rajan, Wen Jiang, Yi Wei, Yu Lin |
| 2020 | ICIS | Adverse Drug Event Prediction using Noisy Literature-Derived Knowledge Graphs. | Abel Lim Jun Hong, Ragunathan Mariappan, Vaibhav Rajan |
| 2020 | ICIS | An IoT-based DSS using Vehicle Movement Data for Nature Parks. | Prakash Chandra Sukhwal, Atreyi Kankanhalli, Vaibhav Rajan |
| 2020 | ICML | Multi-Task Learning with User Preferences: Gradient Descent with Controlled Ascent in Pareto Optimization. | Debabrata Mahapatra, Vaibhav Rajan |
| 2019 | AAAI | Inferring Concept Prerequisite Relations from Online Educational Resources. | Sudeshna Roy, Meghana Madhyastha, Sheril Lawrence, Vaibhav Rajan |
| 2019 | ICIS | Deep Recurrent Neural Networks for Mortality Prediction in Intensive Care using Clinical Time Series at Multiple Resolutions. | Suparna Ghanvatkar, Vaibhav Rajan |
| 2019 | ICIS | Battling Alzheimer's Disease through Early Detection: A Deep Multimodal Learning Approach. | Lin Qiu, Vaibhav Rajan, Bernard C. Y. Tan |
| 2019 | WWW | Context-Aware Sequential Recommendations withStacked Recurrent Neural Networks. | Lakshmanan Rakkappan, Vaibhav Rajan |
| 2018 | ACL | Extractive Summarization with SWAP-NET: Sentences and Words from Alternating Pointer Networks. | Aishwarya Jadhav, Vaibhav Rajan |
| 2018 | ICIS | Detecting Temporal Pattern Profiles from Smartphones for User Activity Analysis. | Suparna Ghanvatkar, Vaibhav Rajan, Atreyi Kankanhalli |
| 2018 | WWW | Automatic Hierarchical Table of Contents Generation for Educational Videos. | Debabrata Mahapatra, Ragunathan Mariappan, Vaibhav Rajan |
| 2018 | WWW | VideoKen: Automatic Video Summarization and Course Curation to Support Learning. | Debabrata Mahapatra, Ragunathan Mariappan, Vaibhav Rajan, Kuldeep Yadav, Seby A., Sudeshna Roy |
| 2017 | AAAI | ICU Mortality Prediction: A Classification Algorithm for Imbalanced Datasets. | Sakyajit Bhattacharya, Vaibhav Rajan, Harsh Shrivastava |
| 2016 | IJCAI | Dependency Clustering of Mixed Data with Gaussian Mixture Copulas. | Vaibhav Rajan, Sakyajit Bhattacharya |
| 2016 | PAKDD | Clinical Decision Support for Stroke Using Multi-view Learning Based Models for NIHSS Scores. | Vaibhav Rajan, Sakyajit Bhattacharya, Ranjan Shetty, Amith Sitaram, G. Vivek |
| 2015 | WABI | Maximum Parsimony Analysis of Gene Copy Number Changes. | Jun Zhou, Yu Lin, Vaibhav Rajan, William Hoskins, Jijun Tang |
| 2014 | HCOMP | CrowdUtility: A Recommendation System for Crowdsourcing Platforms. | Deepthi Chander, Sakyajit Bhattacharya, L. Elisa Celis, Koustuv Dasgupta, Saraschandra Karanam, Vaibhav Rajan, Avantika Gupta |
| 2014 | HCOMP | Adaptive Performance Optimization over Crowd Labor Channels. | Saraschandra Karanam, Deepthi Chander, L. Elisa Celis, Koustuv Dasgupta, Vaibhav Rajan |
| 2013 | CHI | CrowdUtility: know the crowd that works for you. | Koustuv Dasgupta, Vaibhav Rajan, Saraschandra Karanam, Kovendhan Ponnavaikko, Chithralekha Balamurugan, Nischal M. Piratla |
| 2013 | WWW | Adaptive crowdsourcing for temporal crowds. | L. Elisa Celis, Koustuv Dasgupta, Vaibhav Rajan |
| 2011 | WABI | Bootstrapping Phylogenies Inferred from Rearrangement Data. | Yu Lin, Vaibhav Rajan, Bernard M. E. Moret |
| 2010 | RECOMB | Fast and Accurate Phylogenetic Reconstruction from High-Resolution Whole-Genome Data and a Novel Robustness Estimator. | Yu Lin, Vaibhav Rajan, Bernard M. E. Moret |
| 2009 | RECOMB | Sorting Signed Permutations by Inversions in O(nlogn) Time. | Krister M. Swenson, Vaibhav Rajan, Yu Lin, Bernard M. E. Moret |
| 2008 | RECOMB | Hurdles Hardly Have to Be Heeded. | Krister M. Swenson, Yu Lin, Vaibhav Rajan, Bernard M. E. Moret |