Minxuan Zhou

47 papers A* 10A 11B 4C 1Journal 16Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
RAPID-Graph: Recursive All-Pairs Shortest Paths Using Processing-in-Memory for Dynamic Programming on Graphs.
CoRR
Yanru Chen, Zheyu Li, Keming Fan, Runyang Tian, John Hsu, Weihong Xu, Minxuan Zhou, Tajana Rosing
2025 — conf
Efficient Privacy-Preserving Recommendation on Sparse Data using Fully Homomorphic Encryption.
eScience
Moontaha Nishat Chowdhury, André Bauer, Minxuan Zhou
2025 J jnl
Efficient Privacy-Preserving Recommendation on Sparse Data using Fully Homomorphic Encryption.
CoRR
Moontaha Nishat Chowdhury, André Bauer, Minxuan Zhou
2025 J jnl
FHEmem: A Processing In-Memory Accelerator for Fully Homomorphic Encryption.
IEEE Trans. Emerg. Top. Comput.
Minxuan Zhou, Yujin Nam, Pranav Gangwar, Weihong Xu, Arpan Dutta, Chris Wilkerson, Rosario Cammarota, Saransh Gupta, Tajana Rosing
2025 J jnl
Fast-OverlaPIM: A Fast Overlap-Driven Mapping Framework for Processing In-Memory Neural Network Acceleration.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.
Xuan Wang, Minxuan Zhou, Tajana Rosing
2025 A* conf
HPVM-HDC: A Heterogeneous Programming System for Accelerating Hyperdimensional Computing.
ISCA
Russel Arbore, Xavier Routh, Abdul Rafae Noor, Akash Kothari, Haichao Yang, Weihong Xu, Sumukh Pinge, Minxuan Zhou, Tajana Rosing, Vikram S. Adve
2025 J jnl
Measuring Computational Universality of Fully Homomorphic Encryption.
CoRR
Jiaqi Xue, Xin Xin, Wei Zhang, Mengxin Zheng, Qianqian Song, Minxuan Zhou, Yushun Dong, Dongjie Wang, Xun Chen, Jiafeng Xie, Liqiang Wang, David Mohaisen, Hongyi Wu, Qian Lou
2025 A* conf
OptiPIM: Optimizing Processing-in-Memory Acceleration Using Integer Linear Programming.
ISCA
Jiantao Liu, Minxuan Zhou, Yue Pan, Chien-Yi Yang, Lana Josipovic, Tajana Rosing
2025 A conf
PATHE: A Privacy-Preserving Database Pattern Search Platform with Homomorphic Encryption.
ICCAD
Xuan Wang, Minxuan Zhou, Gabrielle De Micheli, Yujin Nam, Sumukh Pinge, Augusto Vega, Tajana Rosing
2025 J jnl
PIM-FW: Hardware-Software Co-Design of All-pairs Shortest Paths in DRAM.
CoRR
Tsung-Han Lu, Zheyu Li, Minxuan Zhou, Tajana Rosing
2025 J jnl
RelHDx: Hyperdimensional Computing for Learning on Graphs With FeFET Acceleration.
IEEE Trans. Computers
Jaeyoung Kang, Minxuan Zhou, Weihong Xu, Tajana Rosing
2025 A conf
Rhychee-FL: Robust and Efficient Hyperdimensional Federated Learning with Homomorphic Encryption.
DATE
Yujin Nam, Abhishek Moitra, Yeshwanth Venkatesha, Xiaofan Yu, Gabrielle De Micheli, Xuan Wang, Minxuan Zhou, Augusto Vega, Priyadarshini Panda, Tajana Rosing
2025 A* conf
Stratum: System-Hardware Co-Design with Tiered Monolithic 3D-Stackable DRAM for Efficient MoE Serving.
MICRO
Yue Pan, Zihan Xia, Po-Kai Hsu, Lanxiang Hu, Hyungyo Kim, Janak Sharda, Minxuan Zhou, Nam Sung Kim, Shimeng Yu, Tajana Rosing, Mingu Kang
2025 J jnl
Stratum: System-Hardware Co-Design with Tiered Monolithic 3D-Stackable DRAM for Efficient MoE Serving.
CoRR
Yue Pan, Zihan Xia, Po-Kai Hsu, Lanxiang Hu, Hyungyo Kim, Janak Sharda, Minxuan Zhou, Nam Sung Kim, Shimeng Yu, Tajana Rosing, Mingu Kang
2024 J jnl
Abakus: Accelerating
ACM Trans. Archit. Code Optim.
Lingxi Wu, Minxuan Zhou, Weihong Xu, Ashish Venkat, Tajana Rosing, Kevin Skadron
2024 B conf
Efficient Host Intrusion Detection using Hyperdimensional Computing.
IEEE Big Data
Yujin Nam, Rachel King, Quinn Burke, Minxuan Zhou, Patrick D. McDaniel, Tajana Rosing
2024 J jnl
Fast-OverlaPIM: A Fast Overlap-driven Mapping Framework for Processing In-Memory Neural Network Acceleration.
CoRR
Xuan Wang, Minxuan Zhou, Tajana Rosing
2024 J jnl
HPVM-HDC: A Heterogeneous Programming System for Hyperdimensional Computing.
CoRR
Russel Arbore, Xavier Routh, Abdul Rafae Noor, Akash Kothari, Haichao Yang, Weihong Xu, Sumukh Pinge, Minxuan Zhou, Vikram S. Adve, Tajana Rosing
2024 A conf
HygHD: Hyperdimensional Hypergraph Learning.
DATE
Jaeyoung Kang, Youhak Lee, Minxuan Zhou, Weihong Xu, Tajana Rosing
2024 J jnl
MathScape: Evaluating MLLMs in multimodal Math Scenarios through a Hierarchical Benchmark.
CoRR
Minxuan Zhou, Hao Liang, Tianpeng Li, Zhiyu Wu, Mingan Lin, Linzhuang Sun, Yaqi Zhou, Yan Zhang, Xiaoqin Huang, Yicong Chen, Yujing Qiao, Weipeng Chen, Bin Cui, Wentao Zhang, Zenan Zhou
2024 A conf
Multi-Objective Software-Hardware Co-Optimization for HD-PIM via Noise-Aware Bayesian Optimization.
ICCAD
Chien-Yi Yang, Minxuan Zhou, Flavio Ponzina, Suraj Sathya Prakash, Raid Ayoub, Pietro Mercati, Mahesh Subedar, Tajana Rosing
2024 B conf
PRIMATE: Processing in Memory Acceleration for Dynamic Token-pruning Transformers.
ASPDAC
Yue Pan, Minxuan Zhou, Chonghan Lee, Zheyu Li, Rishika Kushwah, Vijaykrishnan Narayanan, Tajana Rosing
2024 A* conf
RL-PTQ: RL-based Mixed Precision Quantization for Hybrid Vision Transformers.
DAC
Eunji Kwon, Minxuan Zhou, Weihong Xu, Tajana Rosing, Seokhyeong Kang
2024 A* conf
UFC: A Unified Accelerator for Fully Homomorphic Encryption.
MICRO
Minxuan Zhou, Yujin Nam, Xuan Wang, Youhak Lee, Chris Wilkerson, Raghavan Kumar, Sachin Taneja, Sanu Mathew, Rosario Cammarota, Tajana Rosing
2023 A conf
Efficient Machine Learning on Encrypted Data Using Hyperdimensional Computing.
ISLPED
Yujin Nam, Minxuan Zhou, Saransh Gupta, Gabrielle De Micheli, Rosario Cammarota, Chris Wilkerson, Daniele Micciancio, Tajana Rosing
2023 J jnl
FHEmem: A Processing In-Memory Accelerator for Fully Homomorphic Encryption.
CoRR
Minxuan Zhou, Yujin Nam, Pranav Gangwar, Weihong Xu, Arpan Dutta, Kartikeyan Subramanyam, Chris Wilkerson, Rosario Cammarota, Saransh Gupta, Tajana Rosing
2023 A* conf
Lightning Talk: Private and Secure Edge AI with Hyperdimensional Computing.
DAC
Xiaofan Yu, Minxuan Zhou, Fatemeh Asgarinejad, Onat Güngör, Baris Aksanli, Tajana Rosing
2023 A conf
OverlaPIM: Overlap Optimization for Processing In-Memory Neural Network Acceleration.
DATE
Minxuan Zhou, Xuan Wang, Tajana Rosing
2023 J jnl
Proxima: Near-storage Acceleration for Graph-based Approximate Nearest Neighbor Search in 3D NAND.
CoRR
Weihong Xu, Junwei Chen, Po-Kai Hsu, Jaeyoung Kang, Minxuan Zhou, Sumukh Pinge, Shimeng Yu, Tajana Rosing
2023 — —
Software-Hardware Co-design for Processing In-Memory Accelerators
Minxuan Zhou
2022 A conf
PIMProf: An Automated Program Profiler for Processing-in-Memory Offloading Decisions.
DATE
Yizhou Wei, Minxuan Zhou, Sihang Liu, Korakit Seemakhupt, Tajana Rosing, Samira Manabi Khan
2022 C conf
RelHD: A Graph-based Learning on FeFET with Hyperdimensional Computing.
ICCD
Jaeyoung Kang, Minxuan Zhou, Abhinav Bhansali, Weihong Xu, Anthony Thomas, Tajana Rosing
2022 A* conf
TransPIM: A Memory-based Acceleration via Software-Hardware Co-Design for Transformer.
HPCA
Minxuan Zhou, Weihong Xu, Jaeyoung Kang, Tajana Rosing
2021 — conf
DP-Sim: A Full-stack Simulation Infrastructure for Digital Processing In-Memory Architectures.
ASP-DAC
Minxuan Zhou, Mohsen Imani, Yeseong Kim, Saransh Gupta, Tajana Rosing
2021 A conf
FPRA: A Fine-grained Parallel RRAM Architecture.
ISLPED
Xiao Liu, Minxuan Zhou, Rachata Ausavarungnirun, Sean Eilert, Ameen Akel, Tajana Rosing, Vijaykrishnan Narayanan, Jishen Zhao
2021 A conf
HyGraph: Accelerating Graph Processing with Hybrid Memory-centric Computing.
DATE
Minxuan Zhou, Muzhou Li, Mohsen Imani, Tajana Rosing
2021 A* conf
MAT: Processing In-Memory Acceleration for Long-Sequence Attention.
DAC
Minxuan Zhou, Yunhui Guo, Weihong Xu, Bin Li, Kevin W. Eliceiri, Tajana Rosing
2021 A conf
Massively Parallel Big Data Classification on a Programmable Processing In-Memory Architecture.
ICCAD
Yeseong Kim, Mohsen Imani, Saransh Gupta, Minxuan Zhou, Tajana Simunic Rosing
2021 B conf
PIM-DL: Boosting DNN Inference on Digital Processing In-Memory Architectures via Data Layout Optimizations.
PACT
Minxuan Zhou, Guoyang Chen, Mohsen Imani, Saransh Gupta, Weifeng Zhang, Tajana Rosing
2021 B conf
Ultra Efficient Acceleration for De Novo Genome Assembly via Near-Memory Computing.
PACT
Minxuan Zhou, Lingxi Wu, Muzhou Li, Niema Moshiri, Kevin Skadron, Tajana Rosing
2020 A* conf
DUAL: Acceleration of Clustering Algorithms using Digital-based Processing In-Memory.
MICRO
Mohsen Imani, Saikishan Pampana, Saransh Gupta, Minxuan Zhou, Yeseong Kim, Tajana Rosing
2020 J jnl
Temperature-Aware DRAM Cache Management - Relaxing Thermal Constraints in 3-D Systems.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.
Minxuan Zhou, Andreas Prodromou, Rui Wang, Hailong Yang, Depei Qian, Dean M. Tullsen
2019 — conf
DigitalPIM: Digital-based Processing In-Memory for Big Data Acceleration.
ACM Great Lakes Symposium on VLSI
Mohsen Imani, Saransh Gupta, Yeseong Kim, Minxuan Zhou, Tajana Rosing
2019 — conf
GRAM: graph processing in a ReRAM-based computational memory.
ASP-DAC
Minxuan Zhou, Mohsen Imani, Saransh Gupta, Yeseong Kim, Tajana Rosing
2019 A* conf
Thermal-Aware Design and Management for Search-based In-Memory Acceleration.
DAC
Minxuan Zhou, Mohsen Imani, Saransh Gupta, Tajana Rosing
2018 A conf
GAS: A Heterogeneous Memory Architecture for Graph Processing.
ISLPED
Minxuan Zhou, Mohsen Imani, Saransh Gupta, Tajana Rosing
2016 J jnl
HV
J. Syst. Softw.
Kun Cheng, Yuebin Bai, Yongwang Zhao, Yao Ma, Duo Lu, Yuanfeng Peng, Minxuan Zhou