IITP at SemEval-2017 Task 5: An Ensemble of Deep Learning and Feature Based Models for Financial Sentiment Analysis. - Deepanway Ghosal; Shobhit Bhatnagar; Md. Shad Akhtar; Asif Ekbal; Pushpak Bhattacharyya (SemEval@ACL, 2017)

A Deep Learning Based Multi-task Ensemble Model for Intent Detection and Slot Filling in Spoken Language Understanding. - Mauajama Firdaus; Shobhit Bhatnagar; Asif Ekbal; Pushpak Bhattacharyya (ICONIP (4), 2018)

Intent Detection for Spoken Language Understanding Using a Deep Ensemble Model. - Mauajama Firdaus; Shobhit Bhatnagar; Asif Ekbal; Pushpak Bhattacharyya (PRICAI (1), 2018)

Streaming Codes for Handling a Combination of Burst and Random Erasures. - Shobhit Bhatnagar; Biswadip Chakraborti; P. Vijay Kumar (ITW, 2021)

Rate-Optimal Streaming Codes with Smaller Field Size Under Less-Stringent Decoding-Delay Requirements. - Shobhit Bhatnagar; Vinayak Ramkumar; P. Vijay Kumar (ITW, 2022)

Performance of new relay selection scheme for buffer-assisted multihop decode-and-forward networks. - Shobhit Bhatnagar; Dharmendra Dixit; Sunil Kumar Gauttam; Divyang Rawal (Int. J. Commun. Syst., 2022)

Near-Optimal Streaming Codes with Linear Field Size. - Vinayak Ramkumar; Shobhit Bhatnagar; P. Vijay Kumar (ISIT, 2023)

On Streaming Codes for Simultaneously Correcting Burst and Random Erasures. - Shobhit Bhatnagar; Biswadip Chakraborty; P. Vijay Kumar (ISIT, 2024)

On Streaming Codes for Burst and Random Errors. - Shobhit Bhatnagar; P. Vijay Kumar (ISIT, 2024)

A Tighter Distance Upper-Bound for Gottesman-Kitaev-Preskill Codes. - Shobhit Bhatnagar; P. Vijay Kumar (ITW, 2024)

On Multi-Path Streaming Codes. - Vinayak Ramkumar; Shobhit Bhatnagar; P. Vijay Kumar (NCC, 2024)

On the Efficacy of the Peeling Decoder for the Quantum Expander Code. - Jefrin Sharmitha Prabhu; Abhinav Vaishya; Shobhit Bhatnagar; Aryaman Manish Kolhe; V. Lalitha 001; P. Vijay Kumar (CoRR, 2025)