Gharibi_FaceCard for Contacts and Easy Personal - Information Exchange. - Wajeb Gharibi; Gharib Gharibi (CoRR, 2014)

ArchFeature: A Modeling Environment Integrating Features into Product Line Architecture. - Gharib Gharibi; Yongjie Zheng (D&P@MoDELS, 2016)

ArchFeature: integrating features into product line architecture. - Gharib Gharibi; Yongjie Zheng (SAC, 2016)

Automatic Hierarchical Clustering of Static Call Graphs for Program Comprehension. - Gharib Gharibi; Rakan Alanazi; Yugyung Lee (IEEE BigData, 2018)

Code2graph: automatic generation of static call graphs for Python source code. - Gharib Gharibi; Rashmi Tripathi; Yugyung Lee (ASE, 2018)

GraphEvo: Characterizing and Understanding Software Evolution using Call Graphs. - Vijay Walunj; Gharib Gharibi; Duy H. Ho; Yugyung Lee (IEEE BigData, 2019)

ModelKB: towards automated management of the modeling lifecycle in deep learning. - Gharib Gharibi; Vijay Walunj; Sirisha Rella; Yugyung Lee (RAISE@ICSE, 2019)

Automated Management of Deep Learning Experiments. - Gharib Gharibi; Vijay Walunj; Rakan Alanazi; Sirisha Rella; Yugyung Lee (DEEM@SIGMOD, 2019)

SCAT: Second Chance Autoencoder for Textual Data. - Somaieh Goudarzvand; Gharib Gharibi; Yugyung Lee (CoRR, 2020)

TripleBlind: A Privacy-Preserving Framework for Decentralized Data and Algorithms. - Gharib Gharibi; Babak Poorebrahim Gilkalaye; Ravi Patel; Andrew Rademacher; David Wagner 009; Jack Fay; Gary Moore; Steve Penrod; Greg Storm; Riddhiman Das (NeurIPS (Competition and Demos), 2021)

Automated end-to-end management of the modeling lifecycle in deep learning. - Gharib Gharibi; Vijay Walunj; Raju Nekadi; Raj Marri; Yugyung Lee (Empir. Softw. Eng., 2021)

Facilitating program comprehension with call graph multilevel hierarchical abstractions. - Rakan Alanazi; Gharib Gharibi; Yugyung Lee (J. Syst. Softw., 2021)

Coherence-based Second Chance Autoencoders for Document Understanding. - Saria Goudarzvand; Gharib Gharibi; Yugyung Lee (SDU@AAAI, 2022)

Blind Inference: An Automated Privacy-Preserving Prediction Service using Secure Multi-Party Computation for Medical Applications. - Gharib Gharibi; Babak Poorebrahim Gilkalaye; Praneeth Vepakomma; Zachi Attia; Riddhiman Das; Suraj Kapa; Ramesh Raskar (AMIA, 2022)

An Automated Framework for Distributed Deep Learning-A Tool Demo. - Gharib Gharibi; Ravi Patel; Anissa Khan; Babak Poorebrahim Gilkalaye; Praneeth Vepakomma; Ramesh Raskar; Steve Penrod; Greg Storm; Riddhiman Das (ICDCS, 2022)

Similarity-based second chance autoencoders for textual data. - Saria Goudarzvand; Gharib Gharibi; Yugyung Lee (Appl. Intell., 2022)

Defect prediction using deep learning with Network Portrait Divergence for software evolution. - Vijay Walunj; Gharib Gharibi; Rakan Alanazi; Yugyung Lee (Empir. Softw. Eng., 2022)

Split Learning for Distributed Collaborative Training of Deep Learning Models in Health Informatics. - Zhuohang Li; Chao Yan 004; Xinmeng Zhang; Gharib Gharibi; Zhijun Yin; Xiaoqian Jiang; Bradley A. Malin (CoRR, 2023)

STOP-HCV-HCC Program: Privacy-Preserving Innovation for Remote Data Access Analytics at Federally Qualified Health Centers in South Texas. - Catherine K. Craven; Raudel Bobadilla; Edward Yao; Caleb Castillo; Julio Cerroblanco; Bertha E. Flores; Mamta Jain; Alex Radunsky; Mikulas Plesak; Craig Gentry; Riddhiman Das; Gharib Gharibi (MIE, 2024)