Publications

• INFERF: Declarative Factorization of AI/ML Inferences over Joins
  • To Appear in ACM SIGMOD International Conference on Management of Data 2026
  • Authors: Kanchan Chowdhury, Lixi Zhou, Lulu Xie, Xinwei Fu, Jia Zou
  • Preprint Link: Here
• Privacy and Accuracy-Aware AI/ML Model Deduplication
  • Published in ACM SIGMOD International Conference on Management of Data 2025
  • Authors: Hong Guan, Lixi Zhou, Lei Yu, Li Xiong, Kanchan Chowdhury, Lulu Xie, Xusheng Xiao, Jia Zou
  • Publication Link: Here
• ExBoost: Out-of-Box Co-Optimization of Machine Learning and Join Queries
  • Published in the 30th International Conference on Database Systems for Advanced Applications (DASFAA) 2025
  • Authors: Kanchan Chowdhury, Lulu Xie, Lixi Zhou, Jia Zou
  • Preprint Link: Here
• Declarative Privacy-Preserving Inference Queries
  • Published in the 30th International Conference on Database Systems for Advanced Applications (DASFAA) 2025
  • Authors: Hong Guan, Ansh Tiwari, Summer Gautier, Rajan Hari Ambrish, Lixi Zhou, Deepti Gupta, Yancheng Wang, Yingzhen Yang, Chaowei Xiao, Kanchan Chowdhury, Jia Zou
  • Preprint Link: Here
• Deep Learning with Spatiotemporal Data: A Deep Dive into GeotorchAI
  • Published in the IEEE 40th International Conference on Data Engineering (ICDE) 2024
  • Authors: Kanchan Chowdhury, Mohamed Sarwat
  • Publication Link: Here
• Serving Deep Learning Models from Relational Databases
  • Published in the 27th International Conference on Extending Database Technology (EDBT) 2024
  • Authors: Lixi Zhou, Qi Lin, Kanchan Chowdhury, Saif Masood, Alexandre Eichenberger, Hong Min, Alexander Sim, Jie Wang, Yida Wang, Kesheng Wu, Binhang Yuan, Jia Zou
  • Publication Link: Here
• A Demonstration of GeoTorchAI: A Spatiotemporal Deep Learning Framework
  • Published in the ACM SIGMOD International Conference on Management of Data 2023
  • Authors: Kanchan Chowdhury, Mohamed Sarwat
  • Publication Link: Visit ACM or Download
• GeoTorch: A Spatiotemporal Deep Learning Framework
  • Published in the 30th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems 2022
  • Authors: Kanchan Chowdhury, Mohamed Sarwat
  • Publication Link: Here
• A Machine Learning-Aware Data Re-partitioning Framework for Spatial Datasets
  • Published in the 38th International Conference on Data Engineering (ICDE) 2022
  • Authors: Kanchan Chowdhury, Venkata VamsiKrishna Meduri, Mohamed Sarwat
  • Publication Link: Here
• Evaluation of Machine Learning Algorithms in Predicting the Next SQL Query From the Future
  • Published in the ACM Transactions on Database Systems (ACM TODS), 2021
  • Authors: Venkata VamsiKrishna Meduri, Kanchan Chowdhury, Mohamed Sarwat
  • Publication Link: Here
• Tabula in Action: A Sampling Middleware for Interactive Geospatial Visualization dashboards
  • Published in the International Conference on Very Large Databases (VLDB), 2020
  • Authors: Jia Yu, Kanchan Chowdhury, Mohamed Sarwat
  • Publication Link: Here
• Recurrent Neural Networks for Dynamic User Intent Prediction in Human-Database Interaction
  • Published in the 22nd International Conference on Extending Database Technology (EDBT), 2019
  • Authors: Venkata VamsiKrishna Meduri, Kanchan Chowdhury, Mohamed Sarwat
  • Publication Link: Here
• A fuzzy features based online handwritten Bangla word recognition framework
  • Published in the 18th International Conference on Computer and Information Technology (ICCIT), 2015
  • Authors: Kanchan Chowdhury, Lamia Alam, Shyla Sarmin, Safayet Arefin, Mohammed Moshiul Hoque
  • Publication Link: IEEE
• Finding, Counting, and Highlighting all Triangles in Large Graphs
  • Published in the International Conference on Robotics,Electrical and Signal Processing Techniques (ICREST), 2019
  • Authors: Md. Ashraf Uddin, Kanchan Chowdhury, Liton Kumar Ray
  • Publication Link: IEEE