Mohsen Imani

ORCID

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 233

Top Venues

Publications

Hanning Chen, Yang Ni, Wenjun Huang, Mohsen Imani
Scalable and Interpretable Brain-Inspired Hyper-Dimensional Computing Intelligence with Hardware-Software Co-Design. CICC (2024)
Sanggeon Yun, Hanning Chen, Ryozo Masukawa, Hamza Errahmouni Barkam, Andrew Ding, Wenjun Huang, Arghavan Rezvani, Shaahin Angizi, Mohsen Imani
HyperSense: Accelerating Hyper-Dimensional Computing for Intelligent Sensor Data Processing. CoRR (2024)
Wenjun Huang, Arghavan Rezvani, Hanning Chen, Yang Ni, Sanggeon Yun, Sungheon Jeong, Mohsen Imani
A Plug-in Tiny AI Module for Intelligent and Selective Sensor Data Transmission. CoRR (2024)
Prathyush Poduval, Zhuowen Zou, Alvaro Velasquez, Mohsen Imani
Hyperdimensional Quantum Factorization. CoRR (2024)
Alejandro Hernández-Cano, Yang Ni, Zhuowen Zou, Ali Zakeri, Mohsen Imani
Hyperdimensional computing with holographic and adaptive encoder. Frontiers Artif. Intell. 7 (2024)
Yang Ni, William Youngwoo Chung, Samuel Cho, Zhuowen Zou, Mohsen Imani
Efficient Exploration in Edge-Friendly Hyperdimensional Reinforcement Learning. ACM Great Lakes Symposium on VLSI (2024)
Sanggeon Yun, Ryozo Masukawa, Minhyoung Na, Mohsen Imani
MissionGNN: Hierarchical Multimodal GNN-based Weakly Supervised Video Anomaly Recognition with Mission-Specific Knowledge Graph Generation. CoRR (2024)
Fardin Jalil Piran, Prathyush Poduval, Hamza Errahmouni Barkam, Mohsen Imani, Farhad Imani
Explainable Hyperdimensional Computing for Balancing Privacy and Transparency in Additive Manufacturing Monitoring. CoRR (2024)
Wenjun Huang, Hanning Chen, Yang Ni, Arghavan Rezvani, Sanggeon Yun, Sungheon Jeon, Eric Pedley, Mohsen Imani
EcoSense: Energy-Efficient Intelligent Sensing for In-Shore Ship Detection through Edge-Cloud Collaboration. CoRR (2024)
Zhicheng Xu, Che-Kai Liu, Chao Li, Ruibin Mao, Jianyi Yang, Thomas Kämpfe, Mohsen Imani, Can Li, Cheng Zhuo, Xunzhao Yin
FeReX: A Reconfigurable Design of Multi-bit Ferroelectric Compute-in-Memory for Nearest Neighbor Search. CoRR (2024)
Hanning Chen, Wenjun Huang, Yang Ni, Sanggeon Yun, Fei Wen, Hugo Latapie, Mohsen Imani
TaskCLIP: Extend Large Vision-Language Model for Task Oriented Object Detection. CoRR (2024)
Hyunsei Lee, Hyukjun Kwon, Jiseung Kim, Seohyun Kim, Mohsen Imani, Yeseong Kim
Towards Forward-Only Learning for Hyperdimensional Computing. DATE (2024)
Zhicheng Xu, Che-Kai Liu, Chao Li, Ruibin Mao, Jianyi Yang, Thomas Kämpfe, Mohsen Imani, Can Li, Cheng Zhuo, Xunzhao Yin
FeReX: A Reconfigurable Design of Multi-Bit Ferroelectric Compute-in-Memory for Nearest Neighbor Search. DATE (2024)
Calvin Yeung, Prathyush Poduval, Mohsen Imani
Self-Attention Based Semantic Decomposition in Vector Symbolic Architectures. CoRR (2024)
Hamza Errahmouni Barkam, Sanggeon Yun, Paul R. Genssler, Che-Kai Liu, Zhuowen Zou, Hussam Amrouch, Mohsen Imani
In-Memory Acceleration of Hyperdimensional Genome Matching on Unreliable Emerging Technologies. IEEE Trans. Circuits Syst. I Regul. Pap. 71 (4) (2024)
Calvin Yeung, Zhuowen Zou, Mohsen Imani
Generalized Holographic Reduced Representations. CoRR (2024)
Hyukjun Kwon, Kangwon Kim, Junyoung Lee, Hyunsei Lee, Jiseung Kim, Jinhyung Kim, Taehyung Kim, Yongnyeon Kim, Yang Ni, Mohsen Imani, Ilhong Suh, Yeseong Kim
Brain-Inspired Hyperdimensional Computing in the Wild: Lightweight Symbolic Learning for Sensorimotor Controls of Wheeled Robots. ICRA (2024)
Ali Zakeri, Zhuowen Zou, Hanning Chen, Hugo Latapie, Mohsen Imani
Conjunctive block coding for hyperdimensional graph representation. Intell. Syst. Appl. 22 (2024)
Mehrdad Morsali, Brendan Reidy, Deniz Najafi, Sepehr Tabrizchi, Mohsen Imani, Mahdi Nikdast, Arman Roohi, Ramtin Zand, Shaahin Angizi
Lightator: An Optical Near-Sensor Accelerator with Compressive Acquisition Enabling Versatile Image Processing. CoRR (2024)
Sanggeon Yun, Ryozo Masukawa, Sungheon Jeong, Mohsen Imani
Spatial-Aware Image Retrieval: A Hyperdimensional Computing Approach for Efficient Similarity Hashing. CoRR (2024)
Qingrong Huang, Hamza Errahmouni Barkam, Zeyu Yang, Jianyi Yang, Thomas Kämpfe, Kai Ni, Grace Li Zhang, Bing Li, Ulf Schlichtmann, Mohsen Imani, Cheng Zhuo, Xunzhao Yin
A FeFET-based Time-Domain Associative Memory for Multi-bit Similarity Computation. DATE (2024)
Mehrdad Morsali, Sepehr Tabrizchi, Deniz Najafi, Mohsen Imani, Mahdi Nikdast, Arman Roohi, Shaahin Angizi
OISA: Architecting an Optical In-Sensor Accelerator for Efficient Visual Computing. DATE (2024)
Yang Ni, Zhuowen Zou, Wenjun Huang, Hanning Chen, William Youngwoo Chung, Samuel Cho, Ranganath Krishnan, Pietro Mercati, Mohsen Imani
HEAL: Brain-inspired Hyperdimensional Efficient Active Learning. CoRR (2024)
Hanning Chen, Yang Ni, Ali Zakeri, Zhuowen Zou, Sanggeon Yun, Fei Wen, Behnam Khaleghi, Narayan Srinivasa, Hugo Latapie, Mohsen Imani
HDReason: Algorithm-Hardware Codesign for Hyperdimensional Knowledge Graph Reasoning. CoRR (2024)
Prathyush Poduval, Yang Ni, Zhuowen Zou, Kai Ni, Mohsen Imani
NetHD: Neurally Inspired Integration of Communication and Learning in Hyperspace. Adv. Intell. Syst. 6 (7) (2024)
Sercan Aygun, M. Hassan Najafi, Mohsen Imani, Ece Olcay Günes
Reconvergent Path-aware Simulation of Bit-stream Processing. ACM Great Lakes Symposium on VLSI (2023)
Qingrong Huang, Zeyu Yang, Kai Ni, Mohsen Imani, Cheng Zhuo, Xunzhao Yin
FeFET-Based In-Memory Hyperdimensional Encoding Design. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 42 (11) (2023)
Yang Ni, Hanning Chen, Prathyush Poduval, Zhuowen Zou, Pietro Mercati, Mohsen Imani
Brain-Inspired Trustworthy Hyperdimensional Computing with Efficient Uncertainty Quantification. ICCAD (2023)
Hamza Errahmouni Barkam, Sanggeon Yun, Paul R. Genssler, Zhuowen Zou, Che-Kai Liu, Hussam Amrouch, Mohsen Imani
HDGIM: Hyperdimensional Genome Sequence Matching on Unreliable highly scaled FeFET. DATE (2023)
Xunzhao Yin, Franz Müller, Qingrong Huang, Chao Li, Mohsen Imani, Zeyu Yang, Jiahao Cai, Maximilian Lederer, Ricardo Olivo, Nellie Laleni, Shan Deng, Zijian Zhao, Zhiguo Shi, Yiyu Shi, Cheng Zhuo, Thomas Kämpfe, Kai Ni
An Ultracompact Single-Ferroelectric Field-Effect Transistor Binary and Multibit Associative Search Engine. Adv. Intell. Syst. 5 (7) (2023)
Junyao Wang, Sitao Huang, Mohsen Imani
DistHD: A Learner-Aware Dynamic Encoding Method for Hyperdimensional Classification. CoRR (2023)
Xunzhao Yin, Yu Qian, Mohsen Imani, Kai Ni, Chao Li, Grace Li Zhang, Bing Li, Ulf Schlichtmann, Cheng Zhuo
Ferroelectric Ternary Content Addressable Memories for Energy-Efficient Associative Search. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 42 (4) (2023)
Sercan Aygun, M. Hassan Najafi, Mohsen Imani, Ece Olcay Günes
Agile Simulation of Stochastic Computing Image Processing With Contingency Tables. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 42 (10) (2023)
Hanning Chen, Hamza Errahmouni Barkam, Mohsen Imani
Hardware-Optimized Hyperdimensional Computing for Real-Time Learning. MWSCAS (2023)
Junyao Wang, Hanning Chen, Mariam Issa, Sitao Huang, Mohsen Imani
Late Breaking Results: Scalable and Efficient Hyperdimensional Computing for Network Intrusion Detection. CoRR (2023)
Sercan Aygun, M. Hassan Najafi, Mohsen Imani, Ece Olcay Günes
Bit-Stream Processing with No Bit-Stream: Efficient Software Simulation of Stochastic Vision Machines. ACM Great Lakes Symposium on VLSI (2023)
Shengxi Shou, Che-Kai Liu, Sanggeon Yun, Zishen Wan, Kai Ni, Mohsen Imani, X. Sharon Hu, Jianyi Yang, Cheng Zhuo, Xunzhao Yin
SEE-MCAM: Scalable Multi-Bit FeFET Content Addressable Memories for Energy Efficient Associative Search. ICCAD (2023)
Mohsen Imani
Lightning Talk: Bridging Neuro-Dynamics and Cognition. DAC (2023)
Foroozan Karimzadeh, Mohsen Imani, Bahar Asgari, Ningyuan Cao, Yingyan Lin, Yan Fang
Memory-Based Computing for Energy-Efficient AI: Grand Challenges. VLSI-SoC (2023)
Sercan Aygun, Mehran Shoushtari Moghadam, M. Hassan Najafi, Mohsen Imani
Learning from Hypervectors: A Survey on Hypervector Encoding. CoRR (2023)
Hamza Errahmouni Barkam, Sanggeon Yun, Hanning Chen, Paul Gensler, Albi Mema, Andrew Ding, George Michelogiannakis, Hussam Amrouch, Mohsen Imani
Reliable Hyperdimensional Reasoning on Unreliable Emerging Technologies. ICCAD (2023)
Hyunsei Lee, Jiseung Kim, Hanning Chen, Ariela Zeira, Narayan Srinivasa, Mohsen Imani, Yeseong Kim
Comprehensive Integration of Hyperdimensional Computing with Deep Learning towards Neuro-Symbolic AI. DAC (2023)
Junyao Wang, Sitao Huang, Mohsen Imani
DistHD: A Learner-Aware Dynamic Encoding Method for Hyperdimensional Classification. DAC (2023)
Farbin Fayza, Cansu Demirkiran, Hanning Chen, Che-Kai Liu, Avi Mohan, Hamza Errahmouni Barkam, Sanggeon Yun, Mohsen Imani, David Zhang, Darius Bunandar, Ajay Joshi
Towards Efficient Hyperdimensional Computing Using Photonics. CoRR (2023)
Shengxi Shou, Che-Kai Liu, Sanggeon Yun, Zishen Wan, Kai Ni, Mohsen Imani, X. Sharon Hu, Jianyi Yang, Cheng Zhuo, Xunzhao Yin
SEE-MCAM: Scalable Multi-bit FeFET Content Addressable Memories for Energy Efficient Associative Search. CoRR (2023)
Junyao Wang, Hanning Chen, Mariam Issa, Sitao Huang, Mohsen Imani
Late Breaking Results: Scalable and Efficient Hyperdimensional Computing for Network Intrusion Detection. DAC (2023)
Jiseung Kim, Hyunsei Lee, Mohsen Imani, Yeseong Kim
Efficient Hyperdimensional Learning with Trainable, Quantizable, and Holistic Data Representation. DATE (2023)
Paul R. Genssler, Hamza Errahmouni Barkam, Karthik Pandaram, Mohsen Imani, Hussam Amrouch
Modeling and Predicting Transistor Aging Under Workload Dependency Using Machine Learning. IEEE Trans. Circuits Syst. I Regul. Pap. 70 (9) (2023)
Jingyao Zhang, Mohsen Imani, Elaheh Sadredini
BP-NTT: Fast and Compact in-SRAM Number Theoretic Transform with Bit-Parallel Modular Multiplication. DAC (2023)
Hussam Amrouch, Paul R. Genssler, Mohsen Imani, Mariam Issa, Xun Jiao, Wegdan Mohammad, Gloria Sepanta, Ruixuan Wang
Beyond von Neumann Era: Brain-Inspired Hyperdimensional Computing to the Rescue. ASP-DAC (2023)
Yang Ni, Danny Abraham, Mariam Issa, Yeseong Kim, Pietro Mercati, Mohsen Imani
Efficient Off-Policy Reinforcement Learning via Brain-Inspired Computing. ACM Great Lakes Symposium on VLSI (2023)
Hanning Chen, Yeseong Kim, Elaheh Sadredini, Saransh Gupta, Hugo Latapie, Mohsen Imani
Sparsity Controllable Hyperdimensional Computing for Genome Sequence Matching Acceleration. VLSI-SoC (2023)
Mohsen Imani, Yeseong Kim, Behnam Khaleghi, Justin Morris, Haleh Alimohamadi, Farhad Imani, Hugo Latapie
Hierarchical, Distributed and Brain-Inspired Learning for Internet of Things Systems. ICDCS (2023)
Yang Ni, Yeseong Kim, Tajana Rosing, Mohsen Imani
Algorithm-Hardware Co-Design for Efficient Brain-Inspired Hyperdimensional Learning on Edge (Extended Abstract). IJCAI (2023)
Jingyao Zhang, Mohsen Imani, Elaheh Sadredini
BP-NTT: Fast and Compact in-SRAM Number Theoretic Transform with Bit-Parallel Modular Multiplication. CoRR (2023)
Sanggeon Yun, Hamza Errahmouni Barkam, Paul R. Genssler, Hugo Latapie, Hussam Amrouch, Mohsen Imani
Hyperdimensional Computing for Robust and Efficient Unsupervised Learning. ACSSC (2023)
Mehrdad Morsali, Sepehr Tabrizchi, Deniz Najafi, Mohsen Imani, Mahdi Nikdast, Arman Roohi, Shaahin Angizi
OISA: Architecting an Optical In-Sensor Accelerator for Efficient Visual Computing. CoRR (2023)
Mohsen Riahi Alam, M. Hassan Najafi, Nima TaheriNejad, Mohsen Imani, Lu Peng
Stochastic Computing for Reliable Memristive In-Memory Computation. ACM Great Lakes Symposium on VLSI (2023)
Hamza Errahmouni Barkam, SungHeon Eavn Jeon, Sanggeon Yun, Calvin Yeung, Zhuowen Zou, Xun Jiao, Narayan Srinivasa, Mohsen Imani
Invited Paper: Hyperdimensional Computing for Resilient Edge Learning. ICCAD (2023)
Cheng Zhuo, Zeyu Yang, Kai Ni, Mohsen Imani, Yuxuan Luo, Shaodi Wang, Deming Zhang, Xunzhao Yin
Design of Ultracompact Content Addressable Memory Exploiting 1T-1MTJ Cell. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 42 (5) (2023)
Sercan Aygun, M. Hassan Najafi, Mohsen Imani
A Linear-Time, Optimization-Free, and Edge Device-Compatible Hypervector Encoding. DATE (2023)
Hanning Chen, Ali Zakeri, Fei Wen, Hamza Errahmouni Barkam, Mohsen Imani
HyperGRAF: Hyperdimensional Graph-Based Reasoning Acceleration on FPGA. FPL (2023)
Hamza Errahmouni Barkam, SungHeon Eavn Jeon, Calvin Yeung, Zhuowen Zou, Xun Jiao, Mohsen Imani
Comprehensive Analysis of Hyperdimensional Computing Against Gradient Based Attacks. DATE (2023)
Mehrdad Morsali, Sepehr Tabrizchi, Maximilian Liehr, Nathaniel C. Cady, Mohsen Imani, Arman Roohi, Shaahin Angizi
Deep Mapper: A Multi-Channel Single-Cycle Near-Sensor DNN Accelerator. ICRC (2023)
Sina Shahhosseini, Yang Ni, Hamidreza Alikhani, Emad Kasaeyan Naeini, Mohsen Imani, Nikil D. Dutt, Amir M. Rahmani
Efficient Personalized Learning for Wearable Health Applications using HyperDimensional Computing. CoRR (2022)
Mahdi Imani, Mohsen Imani, Seyede Fatemeh Ghoreishi
Optimal Bayesian Biomarker Selection for Gene Regulatory Networks under Regulatory Model Uncertainty. ACC (2022)
Qingrong Huang, Dayane Reis, Chao Li, Di Gao, Michael T. Niemier, Xiaobo Sharon Hu, Mohsen Imani, Xunzhao Yin, Cheng Zhuo
Computing-In-Memory Using Ferroelectrics: From Single- to Multi-Input Logic. IEEE Des. Test 39 (2) (2022)
Yang Ni, Yeseong Kim, Tajana Rosing, Mohsen Imani
Algorithm-Hardware Co-Design for Efficient Brain-Inspired Hyperdimensional Learning on Edge. DATE (2022)
Sina Shahhosseini, Yang Ni, Emad Kasaeyan Naeini, Mohsen Imani, Amir M. Rahmani, Nikil D. Dutt
Flexible and Personalized Learning for Wearable Health Applications using HyperDimensional Computing. ACM Great Lakes Symposium on VLSI (2022)
Mahdi Imani, Mohsen Imani, Seyede Fatemeh Ghoreishi
Bayesian Optimization for Expensive Smooth-Varying Functions. IEEE Intell. Syst. 37 (4) (2022)
Hanning Chen, Mohsen Imani
Density-Aware Parallel Hyperdimensional Genome Sequence Matching. FCCM (2022)
Mohsen Imani, Ali Zakeri, Hanning Chen, TaeHyun Kim, Prathyush Poduval, Hyunsei Lee, Yeseong Kim, Elaheh Sadredini, Farhad Imani
Neural computation for robust and holographic face detection. DAC (2022)
Mohsen Riahi Alam, M. Hassan Najafi, Nima Taherinejad, Mohsen Imani, Raju Gottumukkala
Stochastic Computing in Beyond Von-Neumann Era: Processing Bit-Streams in Memristive Memory. IEEE Trans. Circuits Syst. II Express Briefs 69 (5) (2022)
Prathyush Poduval, Yang Ni, Yeseong Kim, Kai Ni, Raghavan Kumar, Rosario Cammarota, Mohsen Imani
Adaptive neural recovery for highly robust brain-like representation. DAC (2022)
Xunzhao Yin, Franz Müller, Qingrong Huang, Chao Li, Mohsen Imani, Zeyu Yang, Jiahao Cai, Maximilian Lederer, Ricardo Olivo, Nellie Laleni, Shan Deng, Zijian Zhao, Cheng Zhuo, Thomas Kämpfe, Kai Ni
An Ultra-Compact Single FeFET Binary and Multi-Bit Associative Search Engine. CoRR (2022)
Mariam Issa, Sina Shahhosseini, Yang Ni, Tianyi Hu, Danny Abraham, Amir M. Rahmani, Nikil D. Dutt, Mohsen Imani
Hyperdimensional Hybrid Learning on End-Edge-Cloud Networks. ICCD (2022)
Saransh Gupta, Behnam Khaleghi, Sahand Salamat, Justin Morris, Ranganathan Ramkumar, Jeffrey Yu, Aniket Tiwari, Jaeyoung Kang, Mohsen Imani, Baris Aksanli, Tajana Simunic Rosing
Store-n-Learn: Classification and Clustering with Hyperdimensional Computing across Flash Hierarchy. ACM Trans. Embed. Comput. Syst. 21 (3) (2022)
Che-Kai Liu, Haobang Chen, Mohsen Imani, Kai Ni, Arman Kazemi, Ann Franchesca Laguna, Michael T. Niemier, Xiaobo Sharon Hu, Liang Zhao, Cheng Zhuo, Xunzhao Yin
COSIME: FeFET based Associative Memory for In-Memory Cosine Similarity Search. CoRR (2022)
Saransh Gupta, Mohsen Imani, Joonseop Sim, Andrew Huang, Fan Wu, Jaeyoung Kang, Yeseong Kim, Tajana Simunic Rosing
COSMO: Computing with Stochastic Numbers in Memory. ACM J. Emerg. Technol. Comput. Syst. 18 (2) (2022)
Paul R. Genssler, Hamza E. Barkam, Karthik Pandaram, Mohsen Imani, Hussam Amrouch
Modeling and Predicting Transistor Aging under Workload Dependency using Machine Learning. CoRR (2022)
Chuangtao Chen, Weikang Qian, Mohsen Imani, Xunzhao Yin, Cheng Zhuo
PAM: A Piecewise-Linearly-Approximated Floating-Point Multiplier With Unbiasedness and Configurability. IEEE Trans. Computers 71 (10) (2022)
Che-Kai Liu, Haobang Chen, Mohsen Imani, Kai Ni, Arman Kazemi, Ann Franchesca Laguna, Michael T. Niemier, Xiaobo Sharon Hu, Liang Zhao, Cheng Zhuo, Xunzhao Yin
COSIME: FeFET Based Associative Memory for In-Memory Cosine Similarity Search. ICCAD (2022)
Jiahao Cai, Mohsen Imani, Kai Ni, Grace Li Zhang, Bing Li, Ulf Schlichtmann, Cheng Zhuo, Xunzhao Yin
Energy efficient data search design and optimization based on a compact ferroelectric FET content addressable memory. DAC (2022)
Yang Ni, Danny Abraham, Mariam Issa, Yeseong Kim, Pietro Mercati, Mohsen Imani
QHD: A brain-inspired hyperdimensional reinforcement learning algorithm. CoRR (2022)
Hanning Chen, M. Hassan Najafi, Elaheh Sadredini, Mohsen Imani
Full Stack Parallel Online Hyperdimensional Regression on FPGA. ICCD (2022)
Amir Hossein Jalilvand, Seyedeh Newsha Estiri, Samaneh Naderi, M. Hassan Najafi, Mohsen Imani
A fast and low-cost comparison-free sorting engine with unary computing: late breaking results. DAC (2022)
Sizhe Zhang, Mohsen Imani, Xun Jiao
ScaleHD: Robust Brain-Inspired Hyperdimensional Computing via Adapative Scaling. ICCAD (2022)
Hussam Amrouch, Mohsen Imani, Xun Jiao, Yiannis Aloimonos, Cornelia Fermüller, Dehao Yuan, Dongning Ma, Hamza Errahmouni Barkam, Paul R. Genssler, Peter Sutor Jr.
Brain-Inspired Hyperdimensional Computing for Ultra-Efficient Edge AI. CODES+ISSS (2022)
Hanning Chen, Mariam Issa, Yang Ni, Mohsen Imani
DARL: Distributed Reconfigurable Accelerator for Hyperdimensional Reinforcement Learning. ICCAD (2022)
Yang Ni, Nicholas A. Lesica, Fan-Gang Zeng, Mohsen Imani
Neurally-Inspired Hyperdimensional Classification for Efficient and Robust Biosignal Processing. ICCAD (2022)
Justin Morris, Roshan Fernando, Yilun Hao, Mohsen Imani, Baris Aksanli, Tajana Rosing
Locality-Based Encoder and Model Quantization for Efficient Hyper-Dimensional Computing. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41 (4) (2022)
Jongho Park, HyukJun Kwon, Seowoo Kim, Junyoung Lee, Minho Ha, Euicheol Lim, Mohsen Imani, Yeseong Kim
QuiltNet: efficient deep learning inference on multi-chip accelerators using model partitioning. DAC (2022)
Zhuowen Zou, Hanning Chen, Prathyush Poduval, Yeseong Kim, Mahdi Imani, Elaheh Sadredini, Rosario Cammarota, Mohsen Imani
BioHD: an efficient genome sequence search platform using HyperDimensional memorization. ISCA (2022)
Yang Ni, Mariam Issa, Danny Abraham, Mahdi Imani, Xunzhao Yin, Mohsen Imani
HDPG: hyperdimensional policy-based reinforcement learning for continuous control. DAC (2022)
Yang Ni, Yeseong Kim, Tajana Rosing, Mohsen Imani
Online Performance and Power Prediction for Edge TPU via Comprehensive Characterization. DATE (2022)
Xunzhao Yin, Qingrong Huang, Franz Müller, Shan Deng, Alptekin Vardar, Sourav De, Zhouhang Jiang, Mohsen Imani, Cheng Zhuo, Thomas Kämpfe, Kai Ni
A Homogeneous Processing Fabric for Matrix-Vector Multiplication and Associative Search Using Ferroelectric Time-Domain Compute-in-Memory. CoRR (2022)
Yeseong Kim, Mohsen Imani, Saransh Gupta, Minxuan Zhou, Tajana Simunic Rosing
Massively Parallel Big Data Classification on a Programmable Processing In-Memory Architecture. ICCAD (2021)
Alejandro Hernández-Cano, Rosario Cammarota, Mohsen Imani
PRID: Model Inversion Privacy Attacks in Hyperdimensional Learning Systems. DAC (2021)
Prathyush Poduval, Mariam Issa, Farhad Imani, Cheng Zhuo, Xunzhao Yin, M. Hassan Najafi, Mohsen Imani
Robust In-Memory Computing with Hyperdimensional Stochastic Representation. NANOARCH (2021)
Zhuowen Zou, Haleh Alimohamadi, Farhad Imani, Yeseong Kim, Mohsen Imani
Spiking Hyperdimensional Network: Neuromorphic Models Integrated with Memory-Inspired Framework. CoRR (2021)

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Publication Activity (10 Years)

Top Topics

Top Venues

Mohsen Imani