Recurrent Neural Networks for Dynamic User Intent Prediction in Human-Database Interaction. - Venkata Vamsikrishna Meduri; Kanchan Chowdhury; Mohamed Sarwat (EDBT, 2019)

Tabula in Action: A Sampling Middleware for Interactive Geospatial Visualization Dashboards. - Jia Yu 001; Kanchan Chowdhury; Mohamed Sarwat (Proc. VLDB Endow., 2020)

Evaluating Deep Learning in SystemML using Layer-wise Adaptive Rate Scaling(LARS) Optimizer. - Kanchan Chowdhury; Ankita Sharma; Arun Deepak Chandrasekar (CoRR, 2021)

Evaluation of Machine Learning Algorithms in Predicting the Next SQL Query from the Future. - Venkata Vamsikrishna Meduri; Kanchan Chowdhury; Mohamed Sarwat (ACM Trans. Database Syst., 2021)

GeoTorch: a spatiotemporal deep learning framework. - Kanchan Chowdhury; Mohamed Sarwat (SIGSPATIAL/GIS, 2022)

A Machine Learning-Aware Data Re-partitioning Framework for Spatial Datasets. - Kanchan Chowdhury; Venkata Vamsikrishna Meduri; Mohamed Sarwat (ICDE, 2022)

A Demonstration of GeoTorchAI: A Spatiotemporal Deep Learning Framework. - Kanchan Chowdhury; Mohamed Sarwat (SIGMOD Conference Companion, 2023)

Serving Deep Learning Models from Relational Databases. - Lixi Zhou; Qi Lin; Kanchan Chowdhury; Saif Masood; Alexandre E. Eichenberger; Hong Min; Alexander Sim; Jie Wang; Yida Wang; Kesheng Wu; Binhang Yuan; Jia Zou 001 (EDBT, 2024)

Deep Learning with Spatiotemporal Data: A Deep Dive into GeotorchAI. - Kanchan Chowdhury; Mohamed Sarwat (ICDE, 2024)

Privacy and Accuracy-Aware AI/ML Model Deduplication. - Hong Guan; Lei Yu 002; Lixi Zhou; Li Xiong 001; Kanchan Chowdhury; Lulu Xie; Xusheng Xiao; Jia Zou 001 (Proc. ACM Manag. Data, 2025)