| 2019 | CIKM | Learning to be Relevant: Evolution of a Course Recommendation System. | Shivani Rao, Konstantin Salomatin, Gungor Polatkan, Mahesh Joshi, Sneha Chaudhari, Vladislav Tcheprasov, Jeffrey D. Gee, Deepak Kumar |
| 2016 | RecSys | An Entity Graph Based Recommender System. | Sneha Chaudhari, Amos Azaria, Tom M. Mitchell |
| 2015 | EMNLP | Improving Distant Supervision for Information Extraction Using Label Propagation Through Lists. | Lidong Bing, Sneha Chaudhari, Richard C. Wang, William W. Cohen |
| 2014 | ICPR | Unsupervised Focus Group Identification from Online Product Reviews. | Sneha Chaudhari, Rashmi Gangadharaiah, Balakrishnan Narayanaswamy |
| 2014 | ICPR | Average Overlap for Clustering Incomplete Data Using Symmetric Non-negative Matrix Factorization. | Sneha Chaudhari, M. Narasimha Murty |
| 2014 | KDD | FoodSIS: a text mining system to improve the state of food safety in singapore. | Kiran Kate, Sneha Chaudhari, Andy Prapanca, Jayant Kalagnanam |
| 2013 | ICONIP | Multi-regularization for Fuzzy Co-clustering. | Vikas K. Garg, Sneha Chaudhari, Ankur Narang |
| 2012 | ICONIP | Learning from Positive and Unlabelled Examples Using Maximum Margin Clustering. | Sneha Chaudhari, Shirish K. Shevade |