| 2022 | AAAI | Federated Nearest Neighbor Classification with a Colony of Fruit-Flies. | Parikshit Ram, Kaushik Sinha |
| 2021 | KDD | Fruit-fly Inspired Neighborhood Encoding for Classification. | Kaushik Sinha, Parikshit Ram |
| 2020 | ICCHP | IBeaconMap: Automated Indoor Space Representation for Beacon-Based Wayfinding. | Seyed Ali Cheraghi, Vinod Namboodiri, Kaushik Sinha |
| 2019 | KDD | Revisiting kd-tree for Nearest Neighbor Search. | Parikshit Ram, Kaushik Sinha |
| 2018 | ICML | Improved nearest neighbor search using auxiliary information and priority functions. | Omid Keivani, Kaushik Sinha |
| 2018 | ICML | K-means clustering using random matrix sparsification. | Kaushik Sinha |
| 2017 | AISTATS | Sparse Randomized Partition Trees for Nearest Neighbor Search. | Kaushik Sinha, Omid Keivani |
| 2017 | IJCNN | A support vector machine approach to identification of proteins relevant to learning in a mouse model of Down Syndrome. | Tara Eicher, Kaushik Sinha |
| 2017 | IJCNN | A novel machine learning framework for phenotype prediction based on genome-wide DNA methylation data. | Vinay Vittal Karagod, Kaushik Sinha |
| 2017 | IJCNN | Improved maximum inner product search with better theoretical guarantees. | Omid Keivani, Kaushik Sinha, Parikshit Ram |
| 2014 | ICMLA | LSH vs Randomized Partition Trees: Which One to Use for Nearest Neighbor Search? | Kaushik Sinha |
| 2013 | COLT | Randomized partition trees for exact nearest neighbor search. | Sanjoy Dasgupta, Kaushik Sinha |
| 2010 | COLT | Toward Learning Gaussian Mixtures with Arbitrary Separation. | Mikhail Belkin, Kaushik Sinha |
| 2010 | FOCS | Polynomial Learning of Distribution Families. | Mikhail Belkin, Kaushik Sinha |
| 2006 | BIBE | Exploratory Tools for FollowUp Studies to Microarray Experiments. | Kaushik Sinha, Ruoming Jin, Gagan Agrawal, Helen Piontkivska |
| 2005 | BIBE | Using Data Mining Techniques to Learn Layouts of Flat-File Biological Datasets. | Kaushik Sinha, Xuan Zhang, Ruoming Jin, Gagan Agrawal |
| 2005 | KDD | Simultaneous optimization of complex mining tasks with a knowledgeable cache. | Ruoming Jin, Kaushik Sinha, Gagan Agrawal |
| 2005 | KDD | A framework to support multiple query optimization for complex mining tasks. | Ruoming Jin, Kaushik Sinha, Gagan Agrawal |