| 2025 | ICDM | Measuring and Mitigating Gender Entropy Bias in Large Language Models. | Sonal Prabhune, Balaji Padmanabhan, Kaushik Dutta |
| 2024 | ACSAC | Efficient Secure Aggregation for Privacy-Preserving Federated Machine Learning. | Rouzbeh Behnia, Arman Riasi, Reza Ebrahimi, Sherman S. M. Chow, Balaji Padmanabhan, Thang Hoang |
| 2023 | ICDM | Leveraging Implicit Knowledge in Recommender Systems for Maternal Health. | Negar Maleki, Balaji Padmanabhan, Kaushik Dutta |
| 2022 | ICDM | EW-Tune: A Framework for Privately Fine-Tuning Large Language Models with Differential Privacy. | Rouzbeh Behnia, Mohammadreza Ebrahimi, Jason Pacheco, Balaji Padmanabhan |
| 2022 | ICDM | Representing Social Networks as Dynamic Heterogeneous Graphs. | Negar Maleki, Balaji Padmanabhan, Kaushik Dutta |
| 2021 | ICIS | Panel: Digital Resilience During Covid: Fleeting or Enduring. | Waifong Boh, Panos Constantinides, Balaji Padmanabhan, Siva Viswanathan, Ola Henfridsson, Arun Rai, Soumya Sen |
| 2016 | AMIA | Opioid-Related Side Effects and Adverse Reactions: Mining of Patient Secure Messages. | Lina Bouayad, Robert D. Kerns, William Becker, Thomas K. Houston, Stephen L. Luther, Stephanie L. Shimada, Balaji Padmanabhan |
| 2015 | AMIA | Reducing Healthcare Costs through Medical Recommendations. | Lina Bouayad, Balaji Padmanabhan, Kaushal Chari |
| 2012 | ICIS | News Recommender Systems with Feedback. | Shankar Prawesh, Balaji Padmanabhan |
| 2012 | RecSys | Probabilistic news recommender systems with feedback. | Shankar Prawesh, Balaji Padmanabhan |
| 2011 | RecSys | The "top N" news recommender: count distortion and manipulation resistance. | Shankar Prawesh, Balaji Padmanabhan |
| 2011 | SIGIR | SCENE: a scalable two-stage personalized news recommendation system. | Lei Li, Dingding Wang, Tao Li, Daniel Knox, Balaji Padmanabhan |
| 2006 | ICDM | Cluster Evolution and Interpretation via Penalties. | Daniel Fleder, Balaji Padmanabhan |
| 2004 | KDD | On the discovery of significant statistical quantitative rules. | Hong Zhang, Balaji Padmanabhan, Alexander Tuzhilin |
| 2004 | KDD | A DEA approach for model combination. | Zhiqiang (Eric) Zheng, Balaji Padmanabhan, Haoqiang Zheng |
| 2003 | ICAIL | On Original Generation of Structure in Legal Documents. | Steven Orla Kimbrough, Thomas Y. Lee, Balaji Padmanabhan, Yinghui Yang |
| 2003 | ICDM | Segmenting Customer Transactions Using a Pattern-Based Clustering Approach. | Yinghui Yang, Balaji Padmanabhan |
| 2002 | ICDM | On Active Learning for Data Acquisition. | Zhiqiang Zheng, Balaji Padmanabhan |
| 2001 | KDD | Personalization from incomplete data: what you don't know can hurt. | Balaji Padmanabhan, Zhiqiang (Eric) Zheng, Steven Orla Kimbrough |
| 2000 | KDD | Small is beautiful: discovering the minimal set of unexpected patterns. | Balaji Padmanabhan, Alexander Tuzhilin |
| 1998 | KDD | A Belief-Driven Method for Discovering Unexpected Patterns. | Balaji Padmanabhan, Alexander Tuzhilin |
| 1996 | ICIS | Web Living Case: A Web Based Business Case Delivery System for Collaborative Work. | Raghav Madhavan, Balaji Padmanabhan, Jon Turner |
| 1996 | KDD | Pattern Discovery in Temporal Databases: A Temporal Logic Approach. | Balaji Padmanabhan, Alexander Tuzhilin |