Vector Quantized Spectral Clustering applied to Soybean Whole Genome Sequences. - Aditya A. Shastri; Kapil Ahuja; Milind B. Ratnaparkhe; Aditya Shah; Aishwary Gagrani; Anant Lal (CoRR, 2018)

Using Simulation to Study the Last to Enter Service Delay Announcement in Multiserver Queues with Abandonment. - Aditya Shah; Anders Wikum; Jamol Pender (WSC, 2019)

HiveMind: A Scalable and Serverless Coordination Control Platform for UAV Swarms. - Justin Hu; Ariana Bruno; Brian Ritchken; Brendon Jackson; Mateo Espinosa; Aditya Shah; Christina Delimitrou (CoRR, 2020)

How effective is incongruity? Implications for code-mixed sarcasm detection. - Aditya Shah; Chandresh Maurya (ICON, 2021)

FiLMing Multimodal Sarcasm Detection with Attention. - Sundesh Gupta; Aditya Shah; Miten Shah; Laribok Syiemlieh; Chandresh Maurya (ICONIP (5), 2021)

A Hardware-Software Stack for Serverless Edge Swarms. - Liam Patterson; David Pigorovsky; Brian Dempsey; Nikita Lazarev; Aditya Shah; Clara Steinhoff; Ariana Bruno; Justin Hu; Christina Delimitrou (CoRR, 2021)

A Multi-Modal Dataset for Hate Speech Detection on Social Media: Case-study of Russia-Ukraine Conflict. - Surendrabikram Thapa; Aditya Shah; Farhan Jafri; Usman Naseem; Imran Razzak (CASE@EMNLP, 2022)

HiveMind: a hardware-software system stack for serverless edge swarms. - Liam Patterson; David Pigorovsky; Brian Dempsey; Nikita Lazarev; Aditya Shah; Clara Steinhoff; Ariana Bruno; Justin Hu; Christina Delimitrou (ISCA, 2022)

How Effective is Incongruity? Implications for Code-mix Sarcasm Detection. - Aditya Shah; Chandresh Kumar Maurya (CoRR, 2022)

End-to-End Multimodal Fact-Checking and Explanation Generation: A Challenging Dataset and Models. - Barry Menglong Yao; Aditya Shah; Lichao Sun 001; Jin-Hee Cho; Lifu Huang (SIGIR, 2023)

ADEPT: Adapter-based Efficient Prompt Tuning Approach for Language Models. - Aditya Shah; Surendrabikram Thapa; Aneesh Jain; Lifu Huang (SustaiNLP, 2023)

Retrieval-based Text Selection for Addressing Class-Imbalanced Data in Classification. - Sareh Ahmadi; Aditya Shah; Edward A. Fox (CoRR, 2023)

Enhanced Breast Cancer Tumor Classification using MobileNetV2: A Detailed Exploration on Image Intensity, Error Mitigation, and Streamlit-driven Real-time Deployment. - Aaditya Surya; Aditya Shah; Jarnell Kabore; Subash Sasikumar (CoRR, 2023)

Team Aditya at EXIST 2024 - Detecting Sexism in Multilingual Tweets using Contrastive Learning Approach. - Aditya Shah; Aditya Gokhale (CLEF (Working Notes), 2024)

Did You Tell a Deadly Lie? Evaluating Large Language Models for Health Misinformation Identification. - Surendrabikram Thapa; Kritesh Rauniyar; Hariram Veeramani; Aditya Shah; Imran Razzak; Usman Naseem (WISE (5), 2024)

A Granger-Causal Perspective on Gradient Descent with Application to Pruning. - Aditya Shah; Aditya Challa; Sravan Danda; Archana Mathur; Snehanshu Saha (CoRR, 2024)

Improvised progressive model based on automatic calibration of difficulty level: A practical solution of competitive-based examination. - Aditya Shah; Ajay Devmane; Mehul Ranka; Prathamesh P. Churi (Educ. Inf. Technol., 2024)

An Adaptive Supervised Contrastive Learning Framework for Implicit Sexism Detection in Digital Social Networks. - Mohammad Zia Ur Rehman; Aditya Shah; Nagendra Kumar (CoRR, 2025)