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)

DeepSlice: A Deep Learning Approach towards an Efficient and Reliable Network Slicing in 5G Networks. - Anurag Thantharate; Rahul Arun Paropkari; Vijay Walunj; Cory C. Beard (UEMCON, 2019)

Secure5G: A Deep Learning Framework Towards a Secure Network Slicing in 5G and Beyond. - Anurag Thantharate; Rahul Arun Paropkari; Vijay Walunj; Cory C. Beard; Poonam Kankariya (CCWC, 2020)

Large-Scale Manual Validation of Bug Fixing Commits: A Fine-grained Analysis of Tangling. - Steffen Herbold; Alexander Trautsch; Benjamin Ledel; Alireza Aghamohammadi; Taher Ahmed Ghaleb; Kuljit Kaur Chahal; Tim Bossenmaier; Bhaveet Nagaria; Philip Makedonski; Matin Nili Ahmadabadi; Kristóf Szabados; Helge Spieker; et al. (CoRR, 2020)

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)

A fine-grained data set and analysis of tangling in bug fixing commits. - Steffen Herbold; Alexander Trautsch; Benjamin Ledel; Alireza Aghamohammadi; Taher Ahmed Ghaleb; Kuljit Kaur Chahal; Tim Bossenmaier; Bhaveet Nagaria; Philip Makedonski; Matin Nili Ahmadabadi; Kristóf Szabados; Helge Spieker; et al. (Empir. Softw. Eng., 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)