A+ Indexes: Lightweight and Highly Flexible Adjacency Lists for Graph Database Management Systems. - Amine Mhedhbi; Pranjal Gupta; Shahid Khaliq; Semih Salihoglu (CoRR, 2020)

Multilevel Event Detection, Storyline Generation, and Summarization for Tweet Streams. - Poonam Goyal; Prerna Kaushik; Pranjal Gupta; Dev Vashisth; Shavak Agarwal; Navneet Goyal (IEEE Trans. Comput. Soc. Syst., 2020)

Adversarial and Auxiliary Features-Aware BERT for Sarcasm Detection. - Avinash Kumar 006; Vishnu Teja Narapareddy; Pranjal Gupta; Veerubhotla Aditya Srikanth; Lalita Bhanu Murthy Neti; Aruna Malapati (COMAD/CODS, 2021)

A+ Indexes: Tunable and Space-Efficient Adjacency Lists in Graph Database Management Systems. - Amine Mhedhbi; Pranjal Gupta; Shahid Khaliq; Semih Salihoglu (ICDE, 2021)

Bubblewrap: Online tiling and real-time flow prediction on neural manifolds. - Anne Draelos; Pranjal Gupta; Na Young Jun; Chaichontat Sriworarat; John M. Pearson (NeurIPS, 2021)

BERT based Adverse Drug Effect Tweet Classification. - Tanay Kayastha; Pranjal Gupta; Pushpak Bhattacharyya (SMM4H@NAACL-HLT, 2021)

Integrating Column-Oriented Storage and Query Processing Techniques Into Graph Database Management Systems. - Pranjal Gupta; Amine Mhedhbi; Semih Salihoglu (CoRR, 2021)

BERT Based Semi-Supervised Hybrid Approach for Aspect and Sentiment Classification. - Avinash Kumar 006; Pranjal Gupta; Raghunathan Balan; Lalita Bhanu Murthy Neti; Aruna Malapati (Neural Process. Lett., 2021)

Columnar Storage and List-based Processing for Graph Database Management Systems. - Pranjal Gupta; Amine Mhedhbi; Semih Salihoglu (Proc. VLDB Endow., 2021)

BILEAT: a highly generalized and robust approach for unified aspect-based sentiment analysis. - Avinash Kumar 006; Raghunathan Balan; Pranjal Gupta; Lalita Bhanu Murthy Neti; Aruna Malapati (Appl. Intell., 2022)

BARLAT: A Nearly Unsupervised Approach for Aspect Category Detection. - Avinash Kumar 006; Pranjal Gupta; Nisarg Kotak; Raghunathan Balan; Lalita Bhanu Murthy Neti; Aruna Malapati (Neural Process. Lett., 2022)

Learning Representations on Logs for AIOps. - Pranjal Gupta; Harshit Kumar; Debanjana Kar; Karan Bhukar; Pooja Aggarwal; Prateeti Mohapatra (CLOUD, 2023)

Gender of the online influencer and follower: the differential persuasive impact of homophily, attractiveness and product-match. - Pranjal Gupta; Jennifer L. Burton; Letícia Costa Barros (Internet Res., 2023)

Intent-Driven Multi-Engine Observability Dataflows for Heterogeneous Geo-Distributed Clouds. - Aishwariya Chakraborty; Anand Eswaran; Pankaj Thorat; Mudit Verma; Pranjal Gupta; Praveen Jayachandran (CLOUD, 2024)

Decoding Logs for Automatic Metric Identification. - Pranjal Gupta; Prateeti Mohapatra; Debanjana Kar; Seema Nagar; Jae-wook Ahn; Amit M. Paradkar; Mudhakar Srivatsa (CLOUD, 2024)

InstantOps: A Joint Approach to System Failure Prediction and Root Cause Identification in Microserivces Cloud-Native Applications. - Raphael Rouf; Mohammadreza Rasolroveicy; Marin Litoiu; Seema Nagar; Prateeti Mohapatra; Pranjal Gupta; Ian Watts (ICPE, 2024)

Few-Shot Learning for Structure Extraction from Heterogeneous Log Data. - Pranjal Gupta; Debanjana Kar; Harshit Kumar; Prateeti Mohapatra; Pooja Aggarwal (COMSNETS, 2025)

LogAn: An LLM-Based Log Analytics Tool with Causal Inferencing. - Pranjal Gupta; Karan Bhukar; Harshit Kumar; Seema Nagar; Prateeti Mohapatra; Debanjana Kar (ICPE (Companion), 2025)

ITBench: Evaluating AI Agents across Diverse Real-World IT Automation Tasks. - Saurabh Jha; Rohan R. Arora; Yuji Watanabe; Takumi Yanagawa; Yinfang Chen; Jackson Clark; Bhavya; Mudit Verma; Harshit Kumar; Hirokuni Kitahara; Noah Zheutlin; Saki Takano; et al. (CoRR, 2025)