Welcome to the homepage of the Uncharted@IU Research Group in the department of Intelligent Systems Engineering at the Indiana University (IU). The focus of our research group includes privacy preserving machine learning, and hardware accelerator design for emerging applications. The Uncharted@IU is ruled industriously by the iron fist of Dr. Lei Jiang.
Mutiple RAships are available. Email me with CV, if you are interested.
Privacy-Preserving Machine Learning
Algorithm and Hardware Co-design for Genome Sequencing
SMART: A Heterogeneous Scratchpad Memory Architecture ..., MICRO, 2021.
HEMET: A HE-Friendly Privacy-Preserving Mobile Neural ..., ICML, 2021.
SAFENet: A Secure, Accurate and Fast Neural Network Inference, ICLR, 2021.
EXMA: A Genomics Accelerator for Exact-Matching, HPCA, 2021.
Glyph: Fast and Accurately Training Deep Neural ..., NeurIPS, 2020.
AutoPrivacy: Automated Layer-wise Parameter Selection ..., NeurIPS, 2020.
Falcon: Fast Spectral Inference on Encrypted Data ..., NeurIPS, 2020.
Helix: Algorithm/Architecture Co-design ..., PACT, 2020.
AutoQ: Automated Kernel-Wise Neural Network ..., ICLR, 2020.
Mitigating Voltage Drop in Resistive Memories ..., HPCA, 2020.
SHE: A Fast and Accurate Deep Neural Network ..., NeurIPS, 2019.
FindeR: Accelerating FM-Index-based Exact ..., PACT, 2019.
Balancing Performance and Lifetime of MLC PCM ..., HPCA, 2017.
SD-PCM: Constructing Reliable Super Dense PCM ..., ASPLOS, 2015.
A Low Power and Reliable Charge Pump Design ..., ISCA, 2014.
FPB: Fine-grained Power Budgeting to Improve Write ..., MICRO, 2012.
Improving Write Operations in MLC Phase Change Memory, HPCA, 2012.
Captain: Lei Jiang
Mate: Qian Lou
Bosun: Farzaneh Zokaee