Kanchan Chowdhury

According to our database, Kanchan Chowdhury authored at least 14 papers between 2019 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

CACTUSDB: Unlock Co-Optimization Opportunities for SQL and AI/ML Inferences.

Lixi Zhou, Kanchan Chowdhury, Lulu Xie, Jaykumar Tandel, Hong Guan, Zhiwei Fan, Xinwei Fu, Jia Zou

CoRR, February, 2026

Natural Language Interfaces for Spatial and Temporal Databases: A Comprehensive Overview of Methods, Taxonomy, and Future Directions.

Samya Acharja, Kanchan Chowdhury

IEEE Access, 2026

2025

InferF: Declarative Factorization of AI/ML Inferences over Joins.

Kanchan Chowdhury, Lixi Zhou, Lulu Xie, Xinwei Fu, Jia Zou

CoRR, November, 2025

Privacy and Accuracy-Aware AI/ML Model Deduplication.

Hong Guan, Lei Yu, Lixi Zhou, Li Xiong, Kanchan Chowdhury, Lulu Xie, Xusheng Xiao, Jia Zou

Proc. ACM Manag. Data, June, 2025

Declarative Privacy-Preserving Inference Queries.

Hong Guan, Ansh Tiwari, Summer Gautier, Rajan Hari Ambrish, Lixi Zhou, Yancheng Wang, Deepti Gupta, Yingzhen Yang, Chaowei Xiao, Kanchan Chowdhury, Jia Zou

Proceedings of the Database Systems for Advanced Applications, 2025

2024

Deep Learning with Spatiotemporal Data: A Deep Dive into GeotorchAI.

Kanchan Chowdhury, Mohamed Sarwat

Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

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

Proceedings of the Proceedings 27th International Conference on Extending Database Technology, 2024

2023

A Demonstration of GeoTorchAI: A Spatiotemporal Deep Learning Framework.

Kanchan Chowdhury, Mohamed Sarwat

Proceedings of the Companion of the 2023 International Conference on Management of Data, 2023

2022

A Machine Learning-Aware Data Re-partitioning Framework for Spatial Datasets.

Kanchan Chowdhury, Venkata Vamsikrishna Meduri, Mohamed Sarwat

Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

GeoTorch: a spatiotemporal deep learning framework.

Kanchan Chowdhury, Mohamed Sarwat

Proceedings of the 30th International Conference on Advances in Geographic Information Systems, 2022

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

Evaluating Deep Learning in SystemML using Layer-wise Adaptive Rate Scaling(LARS) Optimizer.

Kanchan Chowdhury, Ankita Sharma, Arun Deepak Chandrasekar

CoRR, 2021

2020

Tabula in Action: A Sampling Middleware for Interactive Geospatial Visualization Dashboards.

Jia Yu, Kanchan Chowdhury, Mohamed Sarwat

Proc. VLDB Endow., 2020

2019

Recurrent Neural Networks for Dynamic User Intent Prediction in Human-Database Interaction.

Venkata Vamsikrishna Meduri, Kanchan Chowdhury, Mohamed Sarwat

Proceedings of the Advances in Database Technology, 2019