Reusing Deep Learning Models: Challenges and Directions in Software Engineering. - James C. Davis 001; Purvish Jajal; Wenxin Jiang 001; Taylor R. Schorlemmer; Nicholas Synovic; George K. Thiruvathukal (JVA, 2023)

PTMTorrent: A Dataset for Mining Open-source Pre-trained Model Packages. - Wenxin Jiang 001; Nicholas Synovic; Purvish Jajal; Taylor R. Schorlemmer; Arav Tewari; Bhavesh Pareek; George K. Thiruvathukal; James C. Davis 001 (MSR, 2023)

Analysis of Failures and Risks in Deep Learning Model Converters: A Case Study in the ONNX Ecosystem. - Purvish Jajal; Wenxin Jiang 001; Arav Tewari; Joseph Woo; Yung-Hsiang Lu; George K. Thiruvathukal; James C. Davis 001 (CoRR, 2023)

An automated approach for improving the inference latency and energy efficiency of pretrained CNNs by removing irrelevant pixels with focused convolutions. - Caleb Tung; Nicholas Eliopoulos; Purvish Jajal; Gowri Ramshankar; Chen-Yung Yang; Nicholas Synovic; Xuecen Zhang; Vipin Chaudhary; George K. Thiruvathukal; Yung-Hsiang Lu (CoRR, 2023)

SoftwareSystemsLaboratory/PTMTorrent. - Wenxin Jiang 001; Nicholas Synovic; Purvish Jajal; Taylor R. Schorlemmer; Arav Tewari; Bhavesh Pareek; George K. Thiruvathukal; James C. Davis 001 (Zenodo, 2023)

SoftwareSystemsLaboratory/PTMTorrent. - Wenxin Jiang 001; Nicholas Synovic; Purvish Jajal; Taylor R. Schorlemmer; Arav Tewari; Bhavesh Pareek; George K. Thiruvathukal; James C. Davis 001 (Zenodo, 2023)

SoftwareSystemsLaboratory/PTMTorrent. - Wenxin Jiang 001; Nicholas Synovic; Purvish Jajal; Taylor R. Schorlemmer; Arav Tewari; Bhavesh Pareek; George K. Thiruvathukal; James C. Davis 001 (Zenodo, 2023)

SoftwareSystemsLaboratory/PTMTorrent. - Wenxin Jiang 001; Nicholas Synovic; Purvish Jajal; Taylor R. Schorlemmer; Arav Tewari; Bhavesh Pareek; George K. Thiruvathukal; James C. Davis 001 (Zenodo, 2023)

SoftwareSystemsLaboratory/PTMTorrent. - Wenxin Jiang 001; Nicholas Synovic; Purvish Jajal; Taylor R. Schorlemmer; Arav Tewari; Bhavesh Pareek; George K. Thiruvathukal; James C. Davis 001 (Zenodo, 2023)

SoftwareSystemsLaboratory/PTMTorrent. - Wenxin Jiang 001; Nicholas Synovic; Purvish Jajal; Taylor R. Schorlemmer; Arav Tewari; Bhavesh Pareek; George K. Thiruvathukal; James C. Davis 001 (Zenodo, 2023)

SoftwareSystemsLaboratory/PTMTorrent. - Wenxin Jiang 001; Nicholas Synovic; Purvish Jajal; Taylor R. Schorlemmer; Arav Tewari; Bhavesh Pareek; George K. Thiruvathukal; James C. Davis 001 (Zenodo, 2023)

An automated approach for improving the inference latency and energy efficiency of pretrained CNNs by removing irrelevant pixels with focused convolutions. - Caleb Tung; Nicholas Eliopoulos; Purvish Jajal; Gowri Ramshankar; Cheng-Yun Yang; Nicholas Synovic; Xuecen Zhang; Vipin Chaudhary; George K. Thiruvathukal; Yung-Hsiang Lu (ASPDAC, 2024)

Securing Deep Neural Networks on Edge from Membership Inference Attacks Using Trusted Execution Environments. - Cheng-Yun Yang; Gowri Ramshankar; Nicholas Eliopoulos; Purvish Jajal; Sudarshan Nambiar; Evan Miller; Xun Zhang; Dave (Jing) Tian; Shuo-Han Chen; Chiy-Ferng Perng; Yung-Hsiang Lu (ISLPED, 2024)

Interoperability in Deep Learning: A User Survey and Failure Analysis of ONNX Model Converters. - Purvish Jajal; Wenxin Jiang 001; Arav Tewari; Erik Kocinare; Joseph Woo; Anusha Sarraf; Yung-Hsiang Lu; George K. Thiruvathukal; James C. Davis 001 (ISSTA, 2024)

Detecting Music Performance Errors with Transformers. - Benjamin Shiue-Hal Chou; Purvish Jajal; Nicholas John Eliopoulos; Tim Nadolsky; Cheng-Yun Yang; Nikita Ravi; James C. Davis 001; Kristen Yeon-Ji Yun; Yung-Hsiang Lu (AAAI, 2025)

Pruning One More Token is Enough: Leveraging Latency-Workload Non-Linearities for Vision Transformers on the Edge. - Nicholas John Eliopoulos; Purvish Jajal; James C. Davis 001; Gaowen Liu; George K. Thiravathukal; Yung-Hsiang Lu (WACV, 2025)

Token Turing Machines are Efficient Vision Models. - Purvish Jajal; Nick John Eliopoulos; Benjamin Shiue-Hal Chou; George K. Thiravathukal; James C. Davis 001; Yung-Hsiang Lu (WACV, 2025)

Inference-Time Alignment of Diffusion Models with Evolutionary Algorithms. - Purvish Jajal; Nick John Eliopoulos; Benjamin Shiue-Hal Chou; George K. Thiruvathukal; James C. Davis 001; Yung-Hsiang Lu (CoRR, 2025)