Tian Ye

Introduction

I am currently a PhD candidate in Computer Science at University of Southern California under the supervision of Prof. Viktor Prasanna. I have been working in FPGA/Parallel Computing Lab since August 2019.

Email: tye69227 AT usc DOT edu

Research Interest

My research interests include distributed computing, privacy-preserving computing, homomorphic encryption, and FPGA accelerator design. Currently I am working on adversarial attack and defense on machine learning.

Education

• Ph.D. student in Computer Science, Department of Computer Science, University of Southern California, 2019 - Present

• B.S. in Computer Science, School of Electronic Engineering and Computer Science, Peking University, 2015 - 2019

Publication

• Jacob Fein-Ashley, Tian Ye, Rajgopal Kannan, Viktor K Prasanna, Carl Busart. “Benchmarking Deep Learning Classifiers for SAR Automatic Target Recognition.” Accepted by IEEE High Performance Extreme Computing Conference (HPEC). 2023.

• Tian Ye, Rajgopal Kannan, Viktor K Prasanna, Carl Busart, Lance Kaplan. “Realistic Scatterer Based Adversarial Attacks on SAR Image Classifiers.” Accepted by IEEE International Radar Conference. 2023.

• Bingyi Zhang, Sasindu Wijeratne, Tian Ye, Rajgopal Kannan, Viktor K Prasanna, Carl Busart, Lance Kaplan. “How can Human-in-the-loop Improve the Performance of SAR ATR? A Reinforcement Learning Based Approach.” Accepted by IEEE International Radar Conference. 2023.

• Tian Ye, Rajgopal Kannan, Viktor K Prasanna, Carl Busart. “Adversarial Attack on GNN-based SAR Image Classifier.” SPIE Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications V. 2023.

• Tian Ye, Rajgopal Kannan, Viktor K Prasanna. “FPGA Acceleration of Fully Homomorphic Encryption over the Torus.” IEEE High Performance Extreme Computing Conference (HPEC). 2022.

• Tian Ye, Sanmukh R Kuppannagari, Cesar Augusto F De Rose, Sasindu Wijeratne, Rajgopal Kannan, Viktor K Prasanna. “Estimating the Impact of Communication Schemes for Distributed Graph Processing.” IEEE International Symposium on Parallel and Distributed Computing (ISPDC). 2022.

• Tian Ye, Sanmukh R Kuppannagari, Rajgopal Kannan, Viktor K Prasanna. Performance Modeling and FPGA Acceleration of Homomorphic Encrypted Convolution. The International Conference on Field-Programmable Logic and Applications (FPL). 2021.

• Tian Ye*, Yang Yang*, Sanmukh R Kuppannagari, Rajgopal Kannan, Viktor K Prasanna. FPGA Acceleration of Number Theoretic Transform. ISC High Performance. 2021. (Co-first author)

• Tian Ye, Rajgopal Kannan, Viktor K Prasanna. Accelerator Design and Performance Modeling for Homomorphic Encrypted CNN Inference. IEEE High Performance Extreme Computing Conference (HPEC). 2020.

Teaching Assistant

• Introduction to Computer Systems, University of Southern California, Fall 2022

• Introduction to Computer Systems, University of Southern California, Fall 2021

• Introduction to Computer Systems, University of Southern California, Spring 2021

• Introduction to Computer Systems, University of Southern California, Fall 2020

• Introduction to Computer Systems, University of Southern California, Spring 2020

• Introduction to Computer Systems, University of Southern California, Fall 2019

• Introduction to Computer Systems, Peking University, Fall 2017

Service

• Sub-Reviewer for FPGA 2023, IPDPS 2023, SC 2022, FPGA 2022, HPEC 2022, FPT 2022, ASAP2022, HPEC 2021, FPT 2021, and ACM Transactions on Reconfigurable Technology and Systems

• Reviewer for IEEE Transactions on Very Large Scale Integration, IEEE Transactions on Circuits and Systems