WhoDo: automating reviewer suggestions at scale. - Sumit Asthana; Rahul Kumar 002; Ranjita Bhagwan; Christian Bird; Chetan Bansal; Chandra Shekhar Maddila; Sonu Mehta; Balasubramanyan Ashok (ESEC/SIGSOFT FSE, 2019)

Rex: Preventing Bugs and Misconfiguration in Large Services Using Correlated Change Analysis. - Sonu Mehta; Ranjita Bhagwan; Rahul Kumar 002; Chetan Bansal; Chandra Shekhar Maddila; Balasubramanyan Ashok; Sumit Asthana; Christian Bird; Aditya Kumar (NSDI, 2020)

Learning Patterns in Configuration. - Ranjita Bhagwan; Sonu Mehta; Arjun Radhakrishna; Sahil Garg (ASE, 2021)

Data-driven test selection at scale. - Sonu Mehta; Farima Farmahinifarahani; Ranjita Bhagwan; Suraj Guptha; Sina Jafari; Rahul Kumar 002; Vaibhav Saini; Anirudh Santhiar (ESEC/SIGSOFT FSE, 2021)

Assessing the Effectiveness of Syntactic Structure to Learn Code Edit Representations. - Syed Arbaaz Qureshi; Sonu Mehta; Ranjita Bhagwan; Rahul Kumar 002 (CoRR, 2021)

Deep Encoders with Auxiliary Parameters for Extreme Classification. - Kunal Dahiya; Sachin Yadav 002; Sushant Sondhi; Deepak Saini; Sonu Mehta; Jian Jiao 007; Sumeet Agarwal; Purushottam Kar; Manik Varma (KDD, 2023)

NGAME: Negative Mining-aware Mini-batching for Extreme Classification. - Kunal Dahiya; Nilesh Gupta; Deepak Saini; Akshay Soni; Yajun Wang; Kushal Dave 001; Jian Jiao 007; Gururaj K; Prasenjit Dey; Amit Singh 003; Deepesh Hada; Vidit Jain; et al. (WSDM, 2023)

Enhancing Tail Performance in Extreme Classifiers by Label Variance Reduction. - Anirudh Buvanesh; Rahul Chand; Jatin Prakash; Bhawna Paliwal; Mudit Dhawan; Neelabh Madan; Deepesh Hada; Vidit Jain; Sonu Mehta; Yashoteja Prabhu; Manish Gupta; Ramachandran Ramjee; et al. (ICLR, 2024)

ASTRA: Accurate and Scalable ANNS-based Training of Extreme Classifiers. - Sonu Mehta; Jayashree Mohan; Nagarajan Natarajan; Ramachandran Ramjee; Manik Varma (CoRR, 2024)