I’m an Assistant Professor in the Department of Computer Science at Illinois Institute of Technology. I am leading the Emerging Computing Systems (ECS or X) Lab. My research interest includes computer architecture, software-hardware co-design, emerging memory/storage technologies, machine learning acceleration, and privacy-preserving computing.

Prospective students: I am actively looking for self-motivated students at all levels for various research projects in the fields of computer architectures, systems, compilers, software-hardware co-design, privacy-preserving computing, and machine learning. The projects will involve active collaborations with UCSD, UIUC, ETH Zurich, UT Dallas, Intel Labs, IBM Research, and other groups at IIT. If you are interested in working with me, please send an email with a subject of “Potential Student” to mzhou26 at iit dot edu.

News

03/2025: Two papers accepted in ISCA 2025!
03/2025: Serve as TPC member for ISCA 2025 Industry Track.
02/2025: Serve as TPC member for DAC 2025.
01/2025: FHEmem paper accepted in IEEE TETC!
11/2024: UFC paper presented in MICRO 2024!

Publications

OptiPIM: Optimizing Processing In-Memory Acceleration Using Integer Linear Programming
Jiantao Liu*, Minxuan Zhou*, Yue Pan, Chien-Yi Yang, Lana Josipovic, and Tajana Rosing
ISCA 2025 (to appear)
* equal contribution

HPVM-HDC: A Heterogeneous Programming System for Accelerating Hyperdimensional Computing
Russel Arbore, Xavier Routh, Abdul Rafae, Akash Kothari, Haichao Yang, Weihong Xu, Sumukh Pinge, Minxuan Zhou, Tajana Rosing, and Vikram Adve
ISCA 2025 (to appear)

FHEmem: A Processing In-Memory Accelerator for Fully Homomorphic Encryption
Minxuan Zhou, Yujin Nam, Pranav Gangwar, Weihong Xu, Arpan Dutta, Chris Wilkerson, Rosario Cammarota, Saransh Gupta, and Tajana Rosing
IEEE TETC 2025

RelHDx: Hyperdimensional Computing for Learning on Graphs with FeFET Acceleration
Jaeyoung Kang, Minxuan Zhou, Weihong Xu, and Tajana Rosing
IEEE TC 2025

Rhychee-FL: Robust and Efficient Hyperdimensional Federated Learning with Homomorphic Encryption
Yujin Nam, Abhishek Moitra, Yeshwanth Venkatesha, Xiaofan Yu, Gabrielle De Micheli, Xuan Wang, Minxuan Zhou, Augusto Vega, Priyadarshini Panda and Tajana Rosing
DATE 2025

UFC: A Unified Accelerator for Fully Homomorphic Encryption
Minxuan Zhou, Yujin Nam, Xuan Wang, Youhak Lee, Chris Wilkerson, Raghavan Kumar, Sachin Taneja, Sanu Mathew, Rosario Cammarota, and Tajana Rosing
MICRO 2024

Multi-Objective Software-Hardware Co-Optimizationfor HD-PIM via Noise-Aware Bayesian Optimization
Chien-Yi Yang, Minxuan Zhou, Flavio Ponzina, Suraj Sathya Prakash, Raid Ayoub, Pietro Mercati, Mahesh Subedar, and Tajana Rosing
ICCAD 2024

RL-PTQ: RL-based Mixed Precision Quantization for Hybrid Vision Transformers
Eunji Kwon, Minxuan Zhou, Weihong Xu, Tajana Rosing and Seokhyeong Kang
DAC 2024

Fast-OverlaPIM: A Fast Overlap-driven Mapping Framework for Processing In-Memory Neural Network Acceleration
Xuan Wang*, Minxuan Zhou*,and Tajana Rosing
IEEE TCAD 2024
* equal contribution

HygHD: Hyperdimensional Hypergraph Learning
Jaeyoung Kang, You Hak Lee, Minxuan Zhou, Weihong Xu and Tajana Rosing
DATE 2024

PRIMATE: Processing in Memory Acceleration for Dynamic Token-pruning Transformers
Yue Pan,Minxuan Zhou, Chonghan Lee, Zheyu Li, Rishika Kushwah, Vijaykrishnan Narayanan, and Tajana Rosing
ASP-DAC 2024

Abakus: Accelerating k-mer Counting With Storage Technology
Lingxi Wu*, Minxuan Zhou*, Weihong Xu, Ashish Venkat, Tajana Rosing, and Kevin Skadron
ACM TACO 2024
* equal contribution

Efficient Machine Learning on Encrypted Data using Hyperdimensional Computing
Yujin Nam, Minxuan Zhou, Saransh Gupta, Gabrielle De Micheli, Rosario Cammarota, Chris Wilkerson, Daniele Micciancio, and Tajana Rosing
ISLPED 2023

OverlaPIM: Overlap Optimization for Processing In-Memory Neural Network Acceleration
Minxuan Zhou*, Xuan Wang*, and Tajana Rosing
DATE 2023
* equal contribution

RelHD: A Lightweight Graph-based Learning with Hyperdimensional Computing
Jaeyoung Kang, Minxuan Zhou, Abhinav Bhansali, Weihong Xu, Anthony Thomas and Tajana Rosing
ICCD 2022

TransPIM: A Memory-based Acceleration via SoftwareHardware Co-Design for Transformers
Minxuan Zhou*, Weihong Xu*, Jaeyoung Kang, and Tajana Rosing
HPCA 2022
* equal contribution

PIMProf: An Automated Program Profiler for Processing-in-Memory Offloading Decisions
Yizhou Wei, Minxuan Zhou, Sihang Liu, Korakit Seemakhupt, Tajana Rosing and Samira Khan
DATE 2022

Massively Parallel Big Data Classification on a Programmable Processing In-Memory Architecture
Yeseong Kim, Mohsen Imani, Saransh Gupta, Minxuan Zhou, and Tajana Rosing
ICCAD 2021

Ultra Efficient Acceleration for De Novo Genome Assembly via Near-Memory Computing
Minxuan Zhou*, Lingxi Wu*, Muzhou Li, Niema Moshiri, Kevin Skadron, and Tajana Rosing
PACT 2021
* equal contribution

PIM-DL: Boosting DNN Inference on Digital Processing In-Memory Architectures via Data Layout Optimizations
Minxuan Zhou, Guoyang Chen, Mohsen Imani, Saransh Gupta, Weifeng Zhang, and Tajana Rosing PACT 2021

MAT: Processing In-Memory Acceleration for Long-Sequence Attention
Minxuan Zhou, Yunhui Guo, Weihong Xu, Bin Li, Kevin Eliceiri, and Tajana Rosing
DAC 2021

FPRA: A Fine-grained Parallel RRAM Architecture
Xiao Liu,Minxuan Zhou, Rachata Ausavarungnirun, Sean Eilert, Ameen Akel, Tajana Rosing, Vijaykrishnan Narayanan, Jishen Zhao
ISLPED 2021

HyGraph: Accelerating Graph Processing with Hybrid Memorycentric Computing
Minxuan Zhou, Muzhou Li, Mohsen Imani, and Tajana Rosing
DATE 2021

DPSim: A Full-stack Simulation Infrastructure for Digital Processing In-Memory Architecture
Minxuan Zhou, Mohsen Imani, Yeseong Kim, Saransh Gupta, and Tajana Rosing
ASP-DAC 2021

Dual: Acceleration of clustering algorithms using digital-based processing in-memory
Mohsen Imani, Saikishan Pampana, Saransh Gupta, Minxuan Zhou, Yeseong Kim, and Tajana Rosing
MICRO 2021

Temperature-Aware DRAM Cache Management -Relaxing Thermal Constraints in 3D Systems
Minxuan Zhou, Andreas Prodromou, Rui Wang, Hailong Yang, Depei Qian, and Dean Tullsen
IEEE TCAD 2019

HR3AM: A Heat Resilient Design for RRAM-based Neuromorphic Computing
Xiao Liu, Minxuan Zhou, Tajana Rosing, and Jishen Zhao
ISLPED 2019

DigitalPIM: Digital-based Processing InMemory for Big Data Acceleration
Mohsen Imani, Saransh Gupta, Yeseong Kim, Minxuan Zhou, and Tajana Rosing
GLS-VLSI 2019

Thermal-Aware Design and Management for Searchbased In-Memory Acceleration
Minxuan Zhou, Mohsen Imani, Saransh Gupta, and Tajana Rosing
DAC 2019

GRAM: Graph Processing in a ReRAM-based Computational Memory
Minxuan Zhou, Mohsen Imani, Saransh Gupta, Yeseong Kim, and Tajana Rosing
ASP-DAC 2019

GAS: A Heterogeneous Memory Acceleration for Graph Processing
Minxuan Zhou, Mohsen Imani, Saransh Gupta, and Tajana Rosing
ISLPED 2018

HV 2 M: A novel approach to boost inter-VM network performance for Xen-based HVMs
Cheng Kun, Yuebin Bai, Yongwang Zhao, Yao Ma, Duo Lu, Yuanfeng Peng, and Minxuan Zhou
JSS 2016