Census 2: isobaric labeling data analysis. - Sung Kyu Robin Park; Aaron Aslanian; Daniel B. McClatchy; Xuemei Han; Harshil Shah; Meha Singh; Navin Rauniyar; James J. Moresco; Antonio F. M. Pinto; Jolene K. Diedrich; Claire Delahunty; John R. Yates III (Bioinform., 2014)

Network analysis for identifying and characterizing disease outbreak influence from voluminous epidemiology data. - Naman Shah 001; Harshil Shah; Matthew Malensek; Sangmi Lee Pallickara; Shrideep Pallickara (IEEE BigData, 2016)

A Novel Implementation of 2D3V Particle-in-Cell (PIC) Algorithm for Kepler GPU Architecture. - Harshil Shah; Siddharth Kamaria; Riddhesh Markandeya; Miral Shah; Bhaskar Chaudhury (HiPC, 2017)

Overdispersed variational autoencoders. - Harshil Shah; David Barber; Aleksandar Botev (IJCNN, 2017)

An efficient hardware implementation of vector-based odd-even merge sorting. - Uday A. Korat; Pratik Yadav; Harshil Shah (UEMCON, 2017)

Generating Sentences Using a Dynamic Canvas. - Harshil Shah; Bowen Zheng 004; David Barber (AAAI, 2018)

Generative Neural Machine Translation. - Harshil Shah; David Barber (NeurIPS, 2018)

MPP: Model Performance Predictor. - Sindhu Ghanta; Sriram Subramanian; Lior Khermosh; Harshil Shah; Yakov Goldberg; Swaminathan Sundararaman; Drew S. Roselli; Nisha Talagala (OpML, 2019)

Scalable network analytics for characterization of outbreak influence in voluminous epidemiology datasets. - Naman Shah 001; Matthew Malensek; Harshil Shah; Shrideep Pallickara; Sangmi Lee Pallickara (Concurr. Comput. Pract. Exp., 2019)

ML Health: Fitness Tracking for Production Models. - Sindhu Ghanta; Sriram Subramanian; Lior Khermosh; Swaminathan Sundararaman; Harshil Shah; Yakov Goldberg; Drew S. Roselli; Nisha Talagala (CoRR, 2019)

Learning Informative Representations of Biomedical Relations with Latent Variable Models. - Harshil Shah; Julien Fauqueur (SustaiNLP@EMNLP, 2020)

The shape of view: an alert system for video viewership anomalies. - Antonis Manousis; Harshil Shah; Henry Milner; Yan Li; Hui Zhang 001; Vyas Sekar (Internet Measurement Conference, 2021)

Locally-Contextual Nonlinear CRFs for Sequence Labeling. - Harshil Shah; Tim Z. Xiao; David Barber (CoRR, 2021)

NURBS-Diff: A Differentiable NURBS Layer for Machine Learning CAD Applications. - Anjana Deva Prasad; Aditya Balu; Harshil Shah; Soumik Sarkar; Adarsh Krishnamurthy (CoRR, 2021)

Tackling Hate Speech in Low-resource Languages with Context Experts. - Daniel Nkemelu; Harshil Shah; Michael L. Best; Irfan Essa (ICTD, 2022)

NURBS-Diff: A Differentiable Programming Module for NURBS. - Anjana Deva Prasad; Aditya Balu; Harshil Shah; Soumik Sarkar; Chinmay Hegde; Adarsh Krishnamurthy (Comput. Aided Des., 2022)

GPU-Accelerated Collision Analysis of Vehicles in a Point Cloud Environment. - Harshil Shah; Sambit Ghadai; Dhruv Gamdha; Alex Schuster; Ivan Thomas; Nathan Greiner; Adarsh Krishnamurthy (IEEE Computer Graphics and Applications, 2022)

Generalized Multiple Intent Conditioned Slot Filling. - Harshil Shah; Arthur Wilcke; Marius Cobzarenco; Cristi Cobzarenco; Edward Challis; David Barber (CoRR, 2023)

Toward Autonomous UI Exploration: The UIExplorer Benchmark. - Andrei Cristian Nica; Akshaya Vishnu Kudlu Shanbhogue; Harshil Shah; Aleix Cambray; Tudor Berariu; Lucas Maystre; David Barber (CoRR, 2025)