S3Net: Semantic-Aware Self-supervised Depth Estimation with Monocular Videos and Synthetic Data. - Bin Cheng 002; Inderjot Singh Saggu; Raunak Shah; Gaurav Bansal; Dinesh Bharadia (ECCV (30), 2020)

AI-based Monitoring and Response System for Hospital Preparedness towards COVID-19 in Southeast Asia. - Tushar Goswamy; Naishadh Parmar; Ayush Gupta; Vatsalya Tandon; Raunak Shah; Varun Goyal; Sanyog Gupta; Karishma Laud; Shivam Gupta; Sudhanshu Mishra; Ashutosh Modi (CoRR, 2020)

IIT Kanpur Consulting Group: Using Machine Learning and Management Consulting for Social Good. - Tushar Goswamy; Vatsalya Tandon; Naishadh Parmar; Raunak Shah; Ayush Gupta (CoRR, 2020)

DELFI: Deep Mixture Models for Long-term Air Quality Forecasting in the Delhi National Capital Region. - Naishadh Parmar; Raunak Shah; Tushar Goswamy; Vatsalya Tandon; Ravi Sahu; Ronak Sutaria; Purushottam Kar; Sachchida Nand Tripathi (CoRR, 2022)

Towards Optimizing Storage Costs on the Cloud. - Koyel Mukherjee; Raunak Shah; Shiv Kumar Saini; Karanpreet Singh; Khushi; Harsh Kesarwani; Kavya Barnwal; Ayush Chauhan (ICDE, 2023)

R2D2: Reducing Redundancy and Duplication in Data Lakes. - Raunak Shah; Koyel Mukherjee; Atharv Tyagi; Sai Keerthana Karnam; Dhruv Joshi; Shivam Pravin Bhosale; Subrata Mitra (Proc. ACM Manag. Data, 2023)

Lance: Efficient Random Access in Columnar Storage through Adaptive Structural Encodings. - Weston Pace; Chang She; Lei Xu; Will Jones; Albert Lockett; Jun Wang; Raunak Shah (CoRR, 2025)

QStore: Quantization-Aware Compressed Model Storage. - Raunak Shah; Zhaoheng Li; Yongjoo Park (CoRR, 2025)