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2020 – today
- 2025
[j53]Sanggeon Yun
, Ryozo Masukawa, Hanning Chen, Sungheon Jeong, Wenjun Huang, Arghavan Rezvani, Minhyoung Na, Yoshiki Yamaguchi, Mohsen Imani:
Hyperdimensional Intelligent Sensing for Efficient Real-Time Audio Processing on Extreme Edge. IEEE Access 13: 43947-43955 (2025)- [j52]Fardin Jalil Piran, Zhiling Chen, Mohsen Imani, Farhad Imani:
Privacy-Preserving Federated Learning with Differentially Private Hyperdimensional Computing. Comput. Electr. Eng. 123: 110261 (2025) - [j51]Fardin Jalil Piran, Prathyush Poduval, Hamza Errahmouni Barkam, Mohsen Imani, Farhad Imani:
Explainable Differential Privacy-Hyperdimensional Computing for Balancing Privacy and Transparency in Additive Manufacturing Monitoring. Eng. Appl. Artif. Intell. 147: 110282 (2025) - [j50]Zhuowen Zou, Yang Ni, SungHeon Jeong, Satish Ravindran, Binbin Shi, Phil Chen, Mohsen Imani:
DynHD: Hyperdimensional Computing Approach for Efficient Radar Spectrum Classification. IEEE Embed. Syst. Lett. 17(2): 95-98 (2025) - [j49]Zhiling Chen, Hanning Chen, Mohsen Imani, Ruimin Chen, Farhad Imani:
Vision language model for interpretable and fine-grained detection of safety compliance in diverse workplaces. Expert Syst. Appl. 265: 125769 (2025) - [j48]Mariam Issa, Hanning Chen, Junyao Wang, Mohsen Imani:
CyberRL: Brain-Inspired Reinforcement Learning for Efficient Network Intrusion Detection. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 44(1): 241-250 (2025) - [j47]Weihong Xu, Saransh Gupta, Justin Morris, Xincheng Shen, Mohsen Imani, Baris Aksanli, Tajana Rosing:
Tri-HD: Energy-Efficient On-Chip Learning With In-Memory Hyperdimensional Computing. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 44(2): 525-539 (2025) - [j46]Jiahao Cai, Hamza Errahmouni Barkam, Mohsen Imani, Kai Ni, Grace Li Zhang, Bing Li, Ulf Schlichtmann, Cheng Zhuo, Xunzhao Yin:
A Scalable 2T-1FeFET-Based Content Addressable Memory Design for Energy Efficient Data Search. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 44(5): 1760-1773 (2025) - [j45]Xunzhao Yin, Qingrong Huang, Hamza Errahmouni Barkam, Franz Müller, Shan Deng, Alptekin Vardar, Sourav De, Zhouhang Jiang, Mohsen Imani, Ulf Schlichtmann, Xiaobo Sharon Hu, Cheng Zhuo, Thomas Kämpfe, Kai Ni:
A Homogeneous FeFET-Based Time-Domain Compute-in-Memory Fabric for Matrix-Vector Multiplication and Associative Search. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 44(5): 1856-1868 (2025) - [c169]Sanggeon Yun, Ryozo Masukawa, Minhyoung Na, Mohsen Imani:
Missiongnn: Hierarchical Multimodal GNN-Based Weakly Supervised Video Anomaly Recognition with Mission-Specific Knowledge Graph Generation. WACV 2025: 4736-4745 - [c168]Wenjun Huang, Yang Ni, Arghavan Rezvani, Sungheon Jeong, Hanning Chen, Yezi Liu, Fei Wen, Mohsen Imani:
Recoverable Anonymization for Pose Estimation: A Privacy-Enhancing Approach. WACV 2025: 5239-5249 - [c167]Zhuowen Zou, Prathyush Poduval, Narayan Srinivasa, Mohsen Imani:
Hyperdimensional Representation for Adaptive Information Association and Memorization. WACV 2025: 5666-5675 - [c166]Ryozo Masukwa, Sanggeon Yun, Yoshiki Yamaguchi, Mohsen Imani:
PV-VTT: A Privacy-Centric Dataset for Mission-Specific Anomaly Detection and Natural Language Interpretation. WACV 2025: 6415-6424 - [c165]Hanning Chen, Yang Ni, Wenjun Huang, Yezi Liu, Sungheon Jeong, Fei Wen, Nathaniel D. Bastian, Hugo Latapie, Mohsen Imani:
VLTP: Vision-Language Guided Token Pruning for Task-Oriented Segmentation. WACV 2025: 9353-9363 - [i59]Zhiling Chen, Hanning Chen, Mohsen Imani, Farhad Imani:
Can Multimodal Large Language Models be Guided to Improve Industrial Anomaly Detection? CoRR abs/2501.15795 (2025) - [i58]Chenyu Ni, Sijie Chen, Che-Kai Liu, Liu Liu, Mohsen Imani, Thomas Kämpfe, Kai Ni, Michael T. Niemier, Xiaobo Sharon Hu, Cheng Zhuo, Xunzhao Yin:
TAP-CAM: A Tunable Approximate Matching Engine based on Ferroelectric Content Addressable Memory. CoRR abs/2502.05787 (2025) - [i57]Sanggeon Yun, Ryozo Masukawa, Hanning Chen, Sungheon Jeong, Wenjun Huang, Arghavan Rezvani, Minhyoung Na, Yoshiki Yamaguchi, Mohsen Imani:
Hyperdimensional Intelligent Sensing for Efficient Real-Time Audio Processing on Extreme Edge. CoRR abs/2502.10718 (2025) - [i56]Ryozo Masukawa, Sanggeon Yun, Sungheon Jeong, Wenjun Huang, Yang Ni, Ian Bryant, Nathaniel D. Bastian, Mohsen Imani:
PacketCLIP: Multi-Modal Embedding of Network Traffic and Language for Cybersecurity Reasoning. CoRR abs/2503.03747 (2025) - 2024
- [j44]Yang Ni, Danny Abraham, Mariam Issa, Alejandro Hernández-Cano, Mahdi Imani, Pietro Mercati, Mohsen Imani:
Dynamic MAC Protocol for Wireless Spectrum Sharing via Hyperdimensional Self-Learning. IEEE Access 12: 138519-138534 (2024) - [j43]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) - [j42]Sanggeon Yun, Hanning Chen, Ryozo Masukawa, Hamza Errahmouni Barkam, Andrew Ding, Wenjun Huang, Arghavan Rezvani, Shaahin Angizi, Mohsen Imani:
HyperSense: Hyperdimensional Intelligent Sensing for Energy-Efficient Sparse Data Processing. Adv. Intell. Syst. 6(12) (2024) - [j41]Yezi Liu, Hanning Chen, Mohsen Imani:
Promoting fairness in link prediction with graph enhancement. Frontiers Big Data 7 (2024) - [j40]Alejandro Hernández-Cano, Yang Ni, Zhuowen Zou, Ali Zakeri, Mohsen Imani:
Hyperdimensional computing with holographic and adaptive encoder. Frontiers Artif. Intell. 7 (2024) - [j39]Arghavan Rezvani, Wenjun Huang, Hanning Chen, Yang Ni, Mohsen Imani:
Self-trainable and adaptive sensor intelligence for selective data generation. Frontiers Artif. Intell. 7 (2024) - [j38]Eman Hassan, Zhuowen Zou, Hanning Chen, Mohsen Imani, Yahya H. Zweiri, Hani H. Saleh, Baker Mohammad:
Efficient event-based robotic grasping perception using hyperdimensional computing. Internet Things 26: 101207 (2024) - [j37]Ali Zakeri, Zhuowen Zou, Hanning Chen, Hugo Latapie, Mohsen Imani:
Conjunctive block coding for hyperdimensional graph representation. Intell. Syst. Appl. 22: 200353 (2024) - [j36]Mariam Rakka, Walaa Amer, Hanning Chen, Mohsen Imani, Fadi J. Kurdahi:
HDRLPIM: A Simulator for Hyper-Dimensional Reinforcement Learning Based on Processing In-Memory. ACM J. Emerg. Technol. Comput. Syst. 20(4): 15:1-15:17 (2024) - [j35]Yang Ni, Ye Yang, Hanning Chen, Xianhui Wang, Nicholas Lesica, Fan-Gang Zeng, Mohsen Imani:
Hyperdimensional Brain-Inspired Learning for Phoneme Recognition With Large-Scale Inferior Colliculus Neural Activities. IEEE Trans. Biomed. Eng. 71(11): 3098-3110 (2024) - [j34]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): 1794-1807 (2024) - [j33]Jiseung Kim, Hyunsei Lee, Mohsen Imani, Yeseong Kim:
Advancing Hyperdimensional Computing Based on Trainable Encoding and Adaptive Training for Efficient and Accurate Learning. ACM Trans. Design Autom. Electr. Syst. 29(5): 1-25 (2024) - [c164]Hanning Chen, Yang Ni, Wenjun Huang, Mohsen Imani:
Scalable and Interpretable Brain-Inspired Hyper-Dimensional Computing Intelligence with Hardware-Software Co-Design. CICC 2024: 1-8 - [c163]Prathyush Poduval, Zhuowen Zou, Mohsen Imani:
HDQMF: Holographic Feature Decomposition using Quantum Algorithms. CVPR 2024: 10978-10987 - [c162]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. DAC 2024: 115:1-115:6 - [c161]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: 1-6 - [c160]Hyunsei Lee, Hyukjun Kwon, Jiseung Kim, Seohyun Kim, Mohsen Imani, Yeseong Kim:
Towards Forward-Only Learning for Hyperdimensional Computing. DATE 2024: 1-2 - [c159]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: 1-6 - [c158]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: 1-6 - [c157]Hanning Chen, Ali Zakeri, Yang Ni, Fei Wen, Behnam Khaleghi, Hugo Latapie, Mohsen Imani:
High-Performance Reconfigurable Accelerator for Knowledge Graph Reasoning. FCCM 2024: 219 - [c156]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: 111-118 - [c155]Chenyu Ni, Sijie Chen, Che-Kai Liu, Liu Liu, Mohsen Imani, Thomas Kämpfe, Kai Ni, Michael T. Niemier, Xiaobo Sharon Hu, Cheng Zhuo, Xunzhao Yin:
TAP-CAM: A Tunable Approximate Matching Engine based on Ferroelectric Content Addressable Memory. ICCAD 2024: 88:1-88:9 - [c154]Hamza Errahmouni Barkam, Tamoghno Das, Prathyush Poduval, Sungjeon Jeong, Calvin Yeung, Mostafa A. Solitan, Mohsen Imani:
Bayesian-Informed Hyperdimensional Learning for Intelligent and Efficient Data Processing. ICCAD 2024: 160:1-160:9 - [c153]Hyunsei Lee, Jiseung Kim, Seohyun Kim, Hyukjun Kwon, Mohsen Imani, Ilhong Suh, Yeseong Kim:
Efficient Forward-Only Training for Brain-Inspired Hyperdimensional Computing. ICCD 2024: 707-714 - [c152]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: 5176-5182 - [c151]Mehrdad Morsali, Sepehr Tabrizchi, Ravi Teja Velpula, Mano Bala Sankar Muthu, Hieu Pham Trung Nguyen, Mohsen Imani, Arman Roohi, Shaahin Angizi:
Energy-Efficient Near-Sensor Event Detector Based on Multilevel Ga2O3 RRAM. ISVLSI 2024: 331-336 - [i55]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 abs/2401.05708 (2024) - [i54]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 abs/2401.10267 (2024) - [i53]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 abs/2402.02043 (2024) - [i52]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 abs/2402.11223 (2024) - [i51]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 abs/2403.05037 (2024) - [i50]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 abs/2403.05763 (2024) - [i49]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 abs/2403.08108 (2024) - [i48]Calvin Yeung, Prathyush Poduval, Mohsen Imani:
Self-Attention Based Semantic Decomposition in Vector Symbolic Architectures. CoRR abs/2403.13218 (2024) - [i47]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 abs/2403.14027 (2024) - [i46]Sanggeon Yun, Ryozo Masukawa, Sungheon Jeong, Mohsen Imani:
Spatial-Aware Image Retrieval: A Hyperdimensional Computing Approach for Efficient Similarity Hashing. CoRR abs/2404.11025 (2024) - [i45]Calvin Yeung, Zhuowen Zou, Mohsen Imani:
Generalized Holographic Reduced Representations. CoRR abs/2405.09689 (2024) - [i44]Prathyush Poduval, Zhuowen Zou, Alvaro Velasquez, Mohsen Imani:
Hyperdimensional Quantum Factorization. CoRR abs/2406.11889 (2024) - [i43]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 abs/2406.18815 (2024) - [i42]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 abs/2407.07066 (2024) - [i41]Zhiling Chen, Hanning Chen, Mohsen Imani, Ruimin Chen, Farhad Imani:
Vision Language Model for Interpretable and Fine-grained Detection of Safety Compliance in Diverse Workplaces. CoRR abs/2408.07146 (2024) - [i40]Wenjun Huang, Yang Ni, Arghavan Rezvani, Sungheon Jeong, Hanning Chen, Yezi Liu, Fei Wen, Mohsen Imani:
Recoverable Anonymization for Pose Estimation: A Privacy-Enhancing Approach. CoRR abs/2409.02715 (2024) - [i39]Hanning Chen, Yang Ni, Wenjun Huang, Yezi Liu, Sungheon Jeong, Fei Wen, Nathaniel D. Bastian, Hugo Latapie, Mohsen Imani:
VLTP: Vision-Language Guided Token Pruning for Task-Oriented Segmentation. CoRR abs/2409.08464 (2024) - [i38]Yezi Liu, Hanning Chen, Mohsen Imani:
Promoting Fairness in Link Prediction with Graph Enhancement. CoRR abs/2409.08658 (2024) - [i37]Xunzhao Yin, Hamza Errahmouni Barkam, Franz Müller, Yu Jiang, Mohsen Imani, Sukhrob Abdulazhanov, Alptekin Vardar, Nellie Laleni, Zijian Zhao, Jiahui Duan, Zhiguo Shi, Siddharth Joshi, Michael T. Niemier, Xiaobo Sharon Hu, Cheng Zhuo, Thomas Kämpfe, Kai Ni:
A Remedy to Compute-in-Memory with Dynamic Random Access Memory: 1FeFET-1C Technology for Neuro-Symbolic AI. CoRR abs/2410.15296 (2024) - [i36]Ryozo Masukawa, Sanggeon Yun, Yoshiki Yamaguchi, Mohsen Imani:
PV-VTT: A Privacy-Centric Dataset for Mission-Specific Anomaly Detection and Natural Language Interpretation. CoRR abs/2410.22623 (2024) - [i35]Fardin Jalil Piran, Zhiling Chen, Mohsen Imani, Farhad Imani:
Privacy-Preserving Federated Learning with Differentially Private Hyperdimensional Computing. CoRR abs/2411.01140 (2024) - [i34]Sanggeon Yun, Ryozo Masukawa, William Youngwoo Chung, Minhyoung Na, Nathaniel D. Bastian, Mohsen Imani:
Continuous GNN-based Anomaly Detection on Edge using Efficient Adaptive Knowledge Graph Learning. CoRR abs/2411.09072 (2024) - [i33]Sungheon Jeong, Hamza Errahmouni Barkam, Sanggeon Yun, Yeseong Kim, Shaahin Angizi, Mohsen Imani:
Exploiting Boosting in Hyperdimensional Computing for Enhanced Reliability in Healthcare. CoRR abs/2411.14612 (2024) - [i32]Sungheon Jeong, Hanning Chen, Sanggeon Yun, Suhyeon Cho, Wenjun Huang, Xiangjian Liu, Mohsen Imani:
Expanding Event Modality Applications through a Robust CLIP-Based Encoder. CoRR abs/2412.03093 (2024) - [i31]Deniz Najafi, Hamza Errahmouni Barkam, Mehrdad Morsali, Sungheon Jeong, Tamoghno Das, Arman Roohi, Mahdi Nikdast, Mohsen Imani, Shaahin Angizi:
Neuro-Photonix: Enabling Near-Sensor Neuro-Symbolic AI Computing on Silicon Photonics Substrate. CoRR abs/2412.10187 (2024) - [i30]Wenjun Huang, Yang Ni, Hanning Chen, Yirui He, Ian Bryant, Yezi Liu, Mohsen Imani:
Tell Me What to Track: Infusing Robust Language Guidance for Enhanced Referring Multi-Object Tracking. CoRR abs/2412.12561 (2024) - 2023
- [j32]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) - [j31]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): 1099-1112 (2023) - [j30]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): 1450-1462 (2023) - [j29]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): 3474-3478 (2023) - [j28]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): 3829-3839 (2023) - [j27]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): 3699-3711 (2023) - [c150]Sanggeon Yun, Hamza Errahmouni Barkam, Paul R. Genssler, Hugo Latapie, Hussam Amrouch, Mohsen Imani:
Hyperdimensional Computing for Robust and Efficient Unsupervised Learning. ACSSC 2023: 281-288 - [c149]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: 553-560 - [c148]Mohsen Imani:
Lightning Talk: Bridging Neuro-Dynamics and Cognition. DAC 2023: 1-2 - [c147]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: 1-6 - [c146]Junyao Wang, Hanning Chen, Mariam Issa, Sitao Huang, Mohsen Imani:
Late Breaking Results: Scalable and Efficient Hyperdimensional Computing for Network Intrusion Detection. DAC 2023: 1-2 - [c145]Junyao Wang, Sitao Huang, Mohsen Imani:
DistHD: A Learner-Aware Dynamic Encoding Method for Hyperdimensional Classification. DAC 2023: 1-6 - [c144]Jingyao Zhang, Mohsen Imani, Elaheh Sadredini:
BP-NTT: Fast and Compact in-SRAM Number Theoretic Transform with Bit-Parallel Modular Multiplication. DAC 2023: 1-6 - [c143]Sercan Aygun, M. Hassan Najafi, Mohsen Imani:
A Linear-Time, Optimization-Free, and Edge Device-Compatible Hypervector Encoding. DATE 2023: 1-2 - [c142]Hamza Errahmouni Barkam, SungHeon Evan Jeong, Calvin Yeung, Zhuowen Zou, Xun Jiao, Mohsen Imani:
Comprehensive Analysis of Hyperdimensional Computing Against Gradient Based Attacks. DATE 2023: 1-2 - [c141]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: 1-6 - [c140]Jiseung Kim, Hyunsei Lee, Mohsen Imani, Yeseong Kim:
Efficient Hyperdimensional Learning with Trainable, Quantizable, and Holistic Data Representation. DATE 2023: 1-6 - [c139]Hanning Chen, Ali Zakeri, Fei Wen, Hamza Errahmouni Barkam, Mohsen Imani:
HyperGRAF: Hyperdimensional Graph-Based Reasoning Acceleration on FPGA. FPL 2023: 34-41 - [c138]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: 225-226 - [c137]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: 273-279 - [c136]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: 397-401 - [c135]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: 449-453 - [c134]Hamza Errahmouni Barkam, SungHeon Evan Jeong, Sanggeon Yun, Calvin Yeung, Zhuowen Zou, Xun Jiao, Narayan Srinivasa, Mohsen Imani:
Invited Paper: Hyperdimensional Computing for Resilient Edge Learning. ICCAD 2023: 1-8 - [c133]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: 1-9 - [c132]Yang Ni, Hanning Chen, Prathyush Poduval, Zhuowen Zou, Pietro Mercati, Mohsen Imani:
Brain-Inspired Trustworthy Hyperdimensional Computing with Efficient Uncertainty Quantification. ICCAD 2023: 1-9 - [c131]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: 1-9 - [c130]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: 511-522 - [c129]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: 1-5 - [c128]Yang Ni, Yeseong Kim, Tajana Rosing, Mohsen Imani:
Algorithm-Hardware Co-Design for Efficient Brain-Inspired Hyperdimensional Learning on Edge (Extended Abstract). IJCAI 2023: 6474-6479 - [c127]Hanning Chen, Hamza Errahmouni Barkam, Mohsen Imani:
Hardware-Optimized Hyperdimensional Computing for Real-Time Learning. MWSCAS 2023: 811-815 - [c126]Hanning Chen, Yeseong Kim, Elaheh Sadredini, Saransh Gupta, Hugo Latapie, Mohsen Imani:
Sparsity Controllable Hyperdimensional Computing for Genome Sequence Matching Acceleration. VLSI-SoC 2023: 1-6 - [c125]Foroozan Karimzadeh, Mohsen Imani, Bahar Asgari, Ningyuan Cao, Yingyan Lin, Yan Fang:
Memory-Based Computing for Energy-Efficient AI: Grand Challenges. VLSI-SoC 2023: 1-8 - [i29]Jingyao Zhang, Mohsen Imani, Elaheh Sadredini:
BP-NTT: Fast and Compact in-SRAM Number Theoretic Transform with Bit-Parallel Modular Multiplication. CoRR abs/2303.00173 (2023) - [i28]Junyao Wang, Sitao Huang, Mohsen Imani:
DistHD: A Learner-Aware Dynamic Encoding Method for Hyperdimensional Classification. CoRR abs/2304.05503 (2023) - [i27]Junyao Wang, Hanning Chen, Mariam Issa, Sitao Huang, Mohsen Imani:
Late Breaking Results: Scalable and Efficient Hyperdimensional Computing for Network Intrusion Detection. CoRR abs/2304.06728 (2023) - [i26]Sercan Aygun, Mehran Shoushtari Moghadam, M. Hassan Najafi, Mohsen Imani:
Learning from Hypervectors: A Survey on Hypervector Encoding. CoRR abs/2308.00685 (2023) - [i25]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 abs/2310.04940 (2023) - [i24]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 abs/2311.17801 (2023) - [i23]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 abs/2311.18655 (2023) - 2022
- [j26]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): 56-64 (2022) - [j25]Mahdi Imani, Mohsen Imani, Seyede Fatemeh Ghoreishi:
Bayesian Optimization for Expensive Smooth-Varying Functions. IEEE Intell. Syst. 37(4): 44-55 (2022) - [j24]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): 37:1-37:25 (2022) - [j23]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): 2473-2486 (2022) - [j22]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): 897-907 (2022) - [j21]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): 2423-2427 (2022) - [j20]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): 22:1-22:25 (2022) - [j19]Justin Morris, Kazim Ergun, Behnam Khaleghi, Mohsen Imani, Baris Aksanli, Tajana Simunic:
HyDREA: Utilizing Hyperdimensional Computing for a More Robust and Efficient Machine Learning System. ACM Trans. Embed. Comput. Syst. 21(6): 78:1-78:25 (2022) - [c124]Mahdi Imani, Mohsen Imani, Seyede Fatemeh Ghoreishi:
Optimal Bayesian Biomarker Selection for Gene Regulatory Networks under Regulatory Model Uncertainty. ACC 2022: 1379-1385 - [c123]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: 25-34 - [c122]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: 31-36 - [c121]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: 367-372 - [c120]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: 751-756 - [c119]Yang Ni, Mariam Issa, Danny Abraham, Mahdi Imani, Xunzhao Yin, Mohsen Imani:
HDPG: hyperdimensional policy-based reinforcement learning for continuous control. DAC 2022: 1141-1146 - [c118]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: 1159-1164 - [c117]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: 1390-1391 - [c116]Yang Ni, Yeseong Kim, Tajana Rosing, Mohsen Imani:
Algorithm-Hardware Co-Design for Efficient Brain-Inspired Hyperdimensional Learning on Edge. DATE 2022: 292-297 - [c115]Yang Ni, Yeseong Kim, Tajana Rosing, Mohsen Imani:
Online Performance and Power Prediction for Edge TPU via Comprehensive Characterization. DATE 2022: 612-615 - [c114]Hanning Chen, Mohsen Imani:
Density-Aware Parallel Hyperdimensional Genome Sequence Matching. FCCM 2022: 1-4 - [c113]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: 357-360 - [c112]Sizhe Zhang, Mohsen Imani, Xun Jiao:
ScaleHD: Robust Brain-Inspired Hyperdimensional Computing via Adapative Scaling. ICCAD 2022: 31:1-31:9 - [c111]Yang Ni, Nicholas A. Lesica, Fan-Gang Zeng, Mohsen Imani:
Neurally-Inspired Hyperdimensional Classification for Efficient and Robust Biosignal Processing. ICCAD 2022: 34:1-34:9 - [c110]Hanning Chen, Mariam Issa, Yang Ni, Mohsen Imani:
DARL: Distributed Reconfigurable Accelerator for Hyperdimensional Reinforcement Learning. ICCAD 2022: 84:1-84:9 - [c109]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: 137:1-137:9 - [c108]Hanning Chen, M. Hassan Najafi, Elaheh Sadredini, Mohsen Imani:
Full Stack Parallel Online Hyperdimensional Regression on FPGA. ICCD 2022: 517-524 - [c107]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: 652-655 - [c106]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: 656-669 - [i22]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 abs/2203.07948 (2022) - [i21]Yang Ni, Danny Abraham, Mariam Issa, Yeseong Kim, Pietro Mercati, Mohsen Imani:
QHD: A brain-inspired hyperdimensional reinforcement learning algorithm. CoRR abs/2205.06978 (2022) - [i20]Paul R. Genssler, Hamza Errahmouni Barkam, Karthik Pandaram, Mohsen Imani, Hussam Amrouch:
Modeling and Predicting Transistor Aging under Workload Dependency using Machine Learning. CoRR abs/2207.04134 (2022) - [i19]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 abs/2207.12188 (2022) - [i18]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 abs/2208.01095 (2022) - [i17]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 abs/2209.11971 (2022) - 2021
- [j18]Mohammad Saidur Rahman, Mohsen Imani, Nate Mathews, Matthew Wright:
Mockingbird: Defending Against Deep-Learning-Based Website Fingerprinting Attacks With Adversarial Traces. IEEE Trans. Inf. Forensics Secur. 16: 1594-1609 (2021) - [c105]Minxuan Zhou, Guoyang Chen, Mohsen Imani, Saransh Gupta, Weifeng Zhang, Tajana Rosing:
PIM-DL: Boosting DNN Inference on Digital Processing In-Memory Architectures via Data Layout Optimizations. PACT 2021: 1 - [c104]Hussam Amrouch, Xiaobo Sharon Hu, Mohsen Imani, Ann Franchesca Laguna, Michael T. Niemier, Simon Thomann, Xunzhao Yin, Cheng Zhuo:
Cross-layer Design for Computing-in-Memory: From Devices, Circuits, to Architectures and Applications. ASP-DAC 2021: 132-139 - [c103]Yunhui Guo, Mohsen Imani, Jaeyoung Kang, Sahand Salamat, Justin Morris, Baris Aksanli, Yeseong Kim, Tajana Rosing:
HyperRec: Efficient Recommender Systems with Hyperdimensional Computing. ASP-DAC 2021: 384-389 - [c102]Minxuan Zhou, Mohsen Imani, Yeseong Kim, Saransh Gupta, Tajana Rosing:
DP-Sim: A Full-stack Simulation Infrastructure for Digital Processing In-Memory Architectures. ASP-DAC 2021: 639-644 - [c101]Alejandro Hernández-Cano, Cheng Zhuo, Xunzhao Yin, Mohsen Imani:
RegHD: Robust and Efficient Regression in Hyper-Dimensional Learning System. DAC 2021: 7-12 - [c100]Alejandro Hernández-Cano, Rosario Cammarota, Mohsen Imani:
PRID: Model Inversion Privacy Attacks in Hyperdimensional Learning Systems. DAC 2021: 553-558 - [c99]Yeseong Kim, Jiseung Kim, Mohsen Imani:
CascadeHD: Efficient Many-Class Learning Framework Using Hyperdimensional Computing. DAC 2021: 775-780 - [c98]Prathyush Poduval, Zhuowen Zou, Xunzhao Yin, Elaheh Sadredini, Mohsen Imani:
Cognitive Correlative Encoding for Genome Sequence Matching in Hyperdimensional System. DAC 2021: 781-786 - [c97]Prathyush Poduval, Zhuowen Zou, M. Hassan Najafi, Houman Homayoun, Mohsen Imani:
StocHD: Stochastic Hyperdimensional System for Efficient and Robust Learning from Raw Data. DAC 2021: 1195-1200 - [c96]Alejandro Hernández-Cane, Namiko Matsumoto, Eric Ping, Mohsen Imani:
OnlineHD: Robust, Efficient, and Single-Pass Online Learning Using Hyperdimensional System. DATE 2021: 56-61 - [c95]Minxuan Zhou, Muzhou Li, Mohsen Imani, Tajana Rosing:
HyGraph: Accelerating Graph Processing with Hybrid Memory-centric Computing. DATE 2021: 330-335 - [c94]Ricardo Garcia, Fatemeh Asgarinejad, Behnam Khaleghi, Tajana Rosing, Mohsen Imani:
TruLook: A Framework for Configurable GPU Approximation. DATE 2021: 487-490 - [c93]Justin Morris, Kazim Ergun, Behnam Khaleghi, Mohsen Imani, Baris Aksanli, Tajana Rosing:
HyDREA: Towards More Robust and Efficient Machine Learning Systems with Hyperdimensional Computing. DATE 2021: 723-728 - [c92]Sahand Salamat, Jaeyoung Kang, Yeseong Kim, Mohsen Imani, Niema Moshiri, Tajana Rosing:
FPGA Acceleration of Protein Back-Translation and Alignment. DATE 2021: 822-827 - [c91]Zhuowen Zou, Yeseong Kim, M. Hassan Najafi, Mohsen Imani:
ManiHD: Efficient Hyper-Dimensional Learning Using Manifold Trainable Encoder. DATE 2021: 850-855 - [c90]Sina Asadi, M. Hassan Najafi, Mohsen Imani:
A Low-Cost FSM-based Bit-Stream Generator for Low-Discrepancy Stochastic Computing. DATE 2021: 908-913 - [c89]Yu Qian, Zhenhao Fan, Haoran Wang, Chao Li, Mohsen Imani, Kai Ni, Grace Li Zhang, Bing Li, Ulf Schlichtmann, Cheng Zhuo, Xunzhao Yin:
Energy-Aware Designs of Ferroelectric Ternary Content Addressable Memory. DATE 2021: 1090-1095 - [c88]Alejandro Hernández-Cano, Yeseong Kim, Mohsen Imani:
A Framework for Efficient and Binary Clustering in High-Dimensional Space. DATE 2021: 1859-1864 - [c87]Alejandro Hernández-Cano, Cheng Zhuo, Xunzhao Yin, Mohsen Imani:
Real-Time and Robust Hyperdimensional Classification. ACM Great Lakes Symposium on VLSI 2021: 397-402 - [c86]Mohsen Imani, Zhuowen Zou, Samuel Bosch, Sanjay Anantha Rao, Sahand Salamat, Venkatesh Kumar, Yeseong Kim, Tajana Rosing:
Revisiting HyperDimensional Learning for FPGA and Low-Power Architectures. HPCA 2021: 221-234 - [c85]Sina Asadi, M. Hassan Najafi, Mohsen Imani:
CORLD: In-Stream Correlation Manipulation for Low-Discrepancy Stochastic Computing. ICCAD 2021: 1-9 - [c84]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: 1-9 - [c83]Justin Morris, Si Thu Kaung Set, Gadi Rosen, Mohsen Imani, Baris Aksanli, Tajana Rosing:
AdaptBit-HD: Adaptive Model Bitwidth for Hyperdimensional Computing. ICCD 2021: 93-100 - [c82]Arman Kazemi, Mohammad Mehdi Sharifi, Zhuowen Zou, Michael T. Niemier, X. Sharon Hu, Mohsen Imani:
MIMHD: Accurate and Efficient Hyperdimensional Inference Using Multi-Bit In-Memory Computing. ISLPED 2021: 1-6 - [c81]Alice Sokolova, Mohsen Imani, Andrew Huang, Ricardo Garcia, Justin Morris, Tajana Rosing, Baris Aksanli:
MACcelerator: Approximate Arithmetic Unit for Computational Acceleration. ISQED 2021: 444-449 - [c80]Jiseung Kim, Hyunsei Lee, Mohsen Imani, Yeseong Kim:
Efficient Brain-Inspired Hyperdimensional Learning with Spatiotemporal Structured Data. MASCOTS 2021: 1-8 - [c79]Elaheh Sadredini, Reza Rahimi, Mohsen Imani, Kevin Skadron:
Sunder: Enabling Low-Overhead and Scalable Near-Data Pattern Matching Acceleration. MICRO 2021: 311-323 - [c78]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: 1-6 - [c77]Zhuowen Zou, Yeseong Kim, Farhad Imani, Haleh Alimohamadi, Rosario Cammarota, Mohsen Imani:
Scalable edge-based hyperdimensional learning system with brain-like neural adaptation. SC 2021: 38 - [i16]Arman Kazemi, Mohammad Mehdi Sharifi, Zhuowen Zou, Michael T. Niemier, X. Sharon Hu, Mohsen Imani:
MIMHD: Accurate and Efficient Hyperdimensional Inference Using Multi-Bit In-Memory Computing. CoRR abs/2106.12029 (2021) - [i15]Zhuowen Zou, Haleh Alimohamadi, Farhad Imani, Yeseong Kim, Mohsen Imani:
Spiking Hyperdimensional Network: Neuromorphic Models Integrated with Memory-Inspired Framework. CoRR abs/2110.00214 (2021) - 2020
- [b1]Mohsen Imani:
Machine Learning in IoT Systems: From Deep Learning to Hyperdimensional Computing. University of California, San Diego, USA, 2020 - [j17]Mohsen Imani, Justin Morris, Helen Shu, Shou Li, Tajana Rosing:
Efficient Associative Search in Brain-Inspired Hyperdimensional Computing. IEEE Des. Test 37(1): 28-35 (2020) - [j16]Sahand Salamat, Mohsen Imani, Tajana Rosing:
Accelerating Hyperdimensional Computing on FPGAs by Exploiting Computational Reuse. IEEE Trans. Computers 69(8): 1159-1171 (2020) - [j15]Daniel Peroni, Mohsen Imani, Tajana Simunic Rosing:
Runtime Efficiency-Accuracy Tradeoff Using Configurable Floating Point Multiplier. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 39(2): 346-358 (2020) - [j14]Mohsen Imani, Samuel Bosch, Sohum Datta, Sharadhi Ramakrishna, Sahand Salamat, Jan M. Rabaey, Tajana Rosing:
QuantHD: A Quantization Framework for Hyperdimensional Computing. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 39(10): 2268-2278 (2020) - [j13]Mohsen Imani, Xunzhao Yin, John Messerly, Saransh Gupta, Michael T. Niemier, Xiaobo Sharon Hu, Tajana Rosing:
SearcHD: A Memory-Centric Hyperdimensional Computing With Stochastic Training. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 39(10): 2422-2433 (2020) - [j12]Daniel Peroni, Mohsen Imani, Hamid Nejatollahi, Nikil D. Dutt, Tajana Rosing:
Data Reuse for Accelerated Approximate Warps. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 39(12): 4623-4634 (2020) - [c76]Behnam Khaleghi, Mohsen Imani, Tajana Rosing:
Prive-HD: Privacy-Preserved Hyperdimensional Computing. DAC 2020: 1-6 - [c75]Hamid Nejatollahi, Saransh Gupta, Mohsen Imani, Tajana Simunic Rosing, Rosario Cammarota, Nikil D. Dutt:
CryptoPIM: In-memory Acceleration for Lattice-based Cryptographic Hardware. DAC 2020: 1-6 - [c74]Yeseong Kim, Mohsen Imani, Niema Moshiri, Tajana Rosing:
GenieHD: Efficient DNA Pattern Matching Accelerator Using Hyperdimensional Computing. DATE 2020: 115-120 - [c73]Saransh Gupta, Mohsen Imani, Joonseop Sim, Andrew Huang, Fan Wu, M. Hassan Najafi, Tajana Rosing:
SCRIMP: A General Stochastic Computing Architecture using ReRAM in-Memory Processing. DATE 2020: 1598-1601 - [c72]Mohsen Imani, Mohammad Samragh Razlighi, Yeseong Kim, Saransh Gupta, Farinaz Koushanfar, Tajana Rosing:
Deep Learning Acceleration with Neuron-to-Memory Transformation. HPCA 2020: 1-14 - [c71]Saransh Gupta, Justin Morris, Mohsen Imani, Ranganathan Ramkumar, Jeffrey Yu, Aniket Tiwari, Baris Aksanli, Tajana Simunic Rosing:
THRIFTY: Training with Hyperdimensional Computing across Flash Hierarchy. ICCAD 2020: 27:1-27:9 - [c70]Chuangtao Chen, Sen Yang, Weikang Qian, Mohsen Imani, Xunzhao Yin, Cheng Zhuo:
Optimally Approximated and Unbiased Floating-Point Multiplier with Runtime Configurability. ICCAD 2020: 121:1-121:9 - [c69]Saransh Gupta, Mohsen Imani, Hengyu Zhao, Fan Wu, Jishen Zhao, Tajana Simunic Rosing:
Implementing binary neural networks in memory with approximate accumulation. ISLPED 2020: 247-252 - [c68]Mohsen Imani, Saikishan Pampana, Saransh Gupta, Minxuan Zhou, Yeseong Kim, Tajana Rosing:
DUAL: Acceleration of Clustering Algorithms using Digital-based Processing In-Memory. MICRO 2020: 356-371 - [c67]Mohsen Imani, Saransh Gupta, Yeseong Kim, Tajana Rosing:
Deep Learning Acceleration using Digital-Based Processing In-Memory. SoCC 2020: 123-128 - [c66]Justin Morris, Yilun Hao, Saransh Gupta, Ranganathan Ramkumar, Jeffrey Yu, Mohsen Imani, Baris Aksanli, Tajana Rosing:
Multi-label HD Classification in 3D Flash. VLSI-SOC 2020: 10-15 - [i14]Behnam Khaleghi, Mohsen Imani, Tajana Rosing:
Prive-HD: Privacy-Preserved Hyperdimensional Computing. CoRR abs/2005.06716 (2020) - [i13]Rosario Cammarota, Matthias Schunter, Anand Rajan, Fabian Boemer, Ágnes Kiss, Amos Treiber, Christian Weinert, Thomas Schneider, Emmanuel Stapf, Ahmad-Reza Sadeghi, Daniel Demmler, Huili Chen, Siam Umar Hussain, M. Sadegh Riazi, Farinaz Koushanfar, Saransh Gupta, Tajana Simunic Rosing, Kamalika Chaudhuri, Hamid Nejatollahi, Nikil D. Dutt, Mohsen Imani, Kim Laine, Anuj Dubey, Aydin Aysu, Fateme Sadat Hosseini, Chengmo Yang, Eric Wallace, Pamela Norton:
Trustworthy AI Inference Systems: An Industry Research View. CoRR abs/2008.04449 (2020) - [i12]Hamid Nejatollahi, Saransh Gupta, Mohsen Imani, Tajana Simunic Rosing, Rosario Cammarota, Nikil D. Dutt:
CryptoPIM: In-memory Acceleration for Lattice-based Cryptographic Hardware. IACR Cryptol. ePrint Arch. 2020: 276 (2020)
2010 – 2019
- 2019
- [j11]Mohsen Imani, Mehrdad Amirabadi, Matthew Wright:
Modified relay selection and circuit selection for faster Tor. IET Commun. 13(17): 2723-2734 (2019) - [j10]Mohsen Imani, Ricardo Garcia, Saransh Gupta, Tajana Rosing:
Hardware-Software Co-design to Accelerate Neural Network Applications. ACM J. Emerg. Technol. Comput. Syst. 15(2): 21:1-21:18 (2019) - [j9]Yeseong Kim, Mohsen Imani, Tajana Simunic Rosing:
Image Recognition Accelerator Design Using In-Memory Processing. IEEE Micro 39(1): 17-23 (2019) - [j8]Saransh Gupta, Mohsen Imani, Harveen Kaur, Tajana Simunic Rosing:
NNPIM: A Processing In-Memory Architecture for Neural Network Acceleration. IEEE Trans. Computers 68(9): 1325-1337 (2019) - [j7]Mohsen Imani, Saransh Gupta, Sahil Sharma, Tajana Simunic Rosing:
NVQuery: Efficient Query Processing in Nonvolatile Memory. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 38(4): 628-639 (2019) - [j6]Mohsen Imani, Daniel Peroni, Abbas Rahimi, Tajana Simunic Rosing:
Resistive CAM Acceleration for Tunable Approximate Computing. IEEE Trans. Emerg. Top. Comput. 7(2): 271-280 (2019) - [c65]Mohsen Imani, Yeseong Kim, M. Sadegh Riazi, John Messerly, Patric Liu, Farinaz Koushanfar, Tajana Rosing:
A Framework for Collaborative Learning in Secure High-Dimensional Space. CLOUD 2019: 435-446 - [c64]Mohsen Imani, Sahand Salamat, Saransh Gupta, Jiani Huang, Tajana Rosing:
FACH: FPGA-based acceleration of hyperdimensional computing by reducing computational complexity. ASP-DAC 2019: 493-498 - [c63]Minxuan Zhou, Mohsen Imani, Saransh Gupta, Yeseong Kim, Tajana Rosing:
GRAM: graph processing in a ReRAM-based computational memory. ASP-DAC 2019: 591-596 - [c62]Daniel Peroni, Mohsen Imani, Tajana Rosing:
ALook: adaptive lookup for GPGPU acceleration. ASP-DAC 2019: 739-746 - [c61]Mohsen Imani, Justin Morris, Samuel Bosch, Helen Shu, Giovanni De Micheli, Tajana Rosing:
AdaptHD: Adaptive Efficient Training for Brain-Inspired Hyperdimensional Computing. BioCAS 2019: 1-4 - [c60]Daniel Peroni, Mohsen Imani, Hamid Nejatollahi, Nikil D. Dutt, Tajana Rosing:
ARGA: Approximate Reuse for GPGPU Acceleration. DAC 2019: 8 - [c59]Mohsen Imani, Justin Morris, John Messerly, Helen Shu, Yaobang Deng, Tajana Rosing:
BRIC: Locality-based Encoding for Energy-Efficient Brain-Inspired Hyperdimensional Computing. DAC 2019: 52 - [c58]Mohsen Imani, Alice Sokolova, Ricardo Garcia, Andrew Huang, Fan Wu, Baris Aksanli, Tajana Rosing:
ApproxLP: Approximate Multiplication with Linearization and Iterative Error Control. DAC 2019: 159 - [c57]Minxuan Zhou, Mohsen Imani, Saransh Gupta, Tajana Rosing:
Thermal-Aware Design and Management for Search-based In-Memory Acceleration. DAC 2019: 174 - [c56]Mohsen Imani, John Messerly, Fan Wu, Wang Pi, Tajana Rosing:
A Binary Learning Framework for Hyperdimensional Computing. DATE 2019: 126-131 - [c55]Mohsen Imani, Ricardo Garcia, Andrew Huang, Tajana Rosing:
CADE: Configurable Approximate Divider for Energy Efficiency. DATE 2019: 586-589 - [c54]Mohsen Imani, Yeseong Kim, Thomas Worley, Saransh Gupta, Tajana Rosing:
HDCluster: An Accurate Clustering Using Brain-Inspired High-Dimensional Computing. DATE 2019: 1591-1594 - [c53]Mohsen Imani, Sahand Salamat, Behnam Khaleghi, Mohammad Samragh, Farinaz Koushanfar, Tajana Rosing:
SparseHD: Algorithm-Hardware Co-optimization for Efficient High-Dimensional Computing. FCCM 2019: 190-198 - [c52]Sahand Salamat, Mohsen Imani, Behnam Khaleghi, Tajana Rosing:
F5-HD: Fast Flexible FPGA-based Framework for Refreshing Hyperdimensional Computing. FPGA 2019: 53-62 - [c51]Saransh Gupta, Mohsen Imani, Tajana Rosing:
Exploring Processing In-Memory for Different Technologies. ACM Great Lakes Symposium on VLSI 2019: 201-206 - [c50]Joonseop Sim, Saransh Gupta, Mohsen Imani, Yeseong Kim, Tajana Rosing:
UPIM: Unipolar Switching Logic for High Density Processing-in-Memory Applications. ACM Great Lakes Symposium on VLSI 2019: 255-258 - [c49]Mohsen Imani, Saransh Gupta, Yeseong Kim, Minxuan Zhou, Tajana Rosing:
DigitalPIM: Digital-based Processing In-Memory for Big Data Acceleration. ACM Great Lakes Symposium on VLSI 2019: 429-434 - [c48]Mohsen Imani, Samuel Bosch, Mojan Javaheripi, Bita Darvish Rouhani, Xinyu Wu, Farinaz Koushanfar, Tajana Rosing:
SemiHD: Semi-Supervised Learning Using Hyperdimensional Computing. ICCAD 2019: 1-8 - [c47]Sahand Salamat, Behnam Khaleghi, Mohsen Imani, Tajana Rosing:
Workload-Aware Opportunistic Energy Efficiency in Multi-FPGA Platforms. ICCAD 2019: 1-8 - [c46]Behnam Khaleghi, Sahand Salamat, Mohsen Imani, Tajana Rosing:
FPGA Energy Efficiency by Leveraging Thermal Margin. ICCD 2019: 376-384 - [c45]Mohsen Imani, Saransh Gupta, Yeseong Kim, Tajana Rosing:
FloatPIM: in-memory acceleration of deep neural network training with high precision. ISCA 2019: 802-815 - [c44]Saransh Gupta, Mohsen Imani, Behnam Khaleghi, Venkatesh Kumar, Tajana Rosing:
RAPID: A ReRAM Processing in-Memory Architecture for DNA Sequence Alignment. ISLPED 2019: 1-6 - [c43]Justin Morris, Mohsen Imani, Samuel Bosch, Anthony Thomas, Helen Shu, Tajana Rosing:
CompHD: Efficient Hyperdimensional Computing Using Model Compression. ISLPED 2019: 1-6 - [c42]Mohsen Imani, Saransh Gupta, Tajana Rosing:
Digital-based processing in-memory: a highly-parallel accelerator for data intensive applications. MEMSYS 2019: 38-40 - [p1]Mohsen Imani, Tajana Simunic Rosing:
Approximate CPU and GPU Design Using Emerging Memory Technologies. Approximate Circuits 2019: 383-398 - [i11]Mohsen Imani, Mohammad Saidur Rahman, Nate Mathews, Aneesh Yogesh Joshi, Matthew Wright:
Adv-DWF: Defending Against Deep-Learning-Based Website Fingerprinting Attacks with Adversarial Traces. CoRR abs/1902.06626 (2019) - [i10]Sahand Salamat, Behnam Khaleghi, Mohsen Imani, Tajana Rosing:
Workload-Aware Opportunistic Energy Efficiency in Multi-FPGA Platforms. CoRR abs/1908.06519 (2019) - [i9]Behnam Khaleghi, Sahand Salamat, Mohsen Imani, Tajana Rosing:
FPGA Energy Efficiency by Leveraging Thermal Margin. CoRR abs/1911.07187 (2019) - [i8]Samuel Bosch, Alexander Sanchez de la Cerda, Mohsen Imani, Tajana Simunic Rosing, Giovanni De Micheli:
QubitHD: A Stochastic Acceleration Method for HD Computing-Based Machine Learning. CoRR abs/1911.12446 (2019) - 2018
- [j5]Mohsen Imani, Daniel Peroni, Tajana Rosing:
Nvalt: Nonvolatile Approximate Lookup Table for GPU Acceleration. IEEE Embed. Syst. Lett. 10(1): 14-17 (2018) - [j4]Mohsen Imani, Armon Barton, Matthew Wright:
Guard Sets in Tor using AS Relationships. Proc. Priv. Enhancing Technol. 2018(1): 145-165 (2018) - [j3]Mohsen Imani, Shruti Patil, Tajana Simunic Rosing:
Approximate Computing Using Multiple-Access Single-Charge Associative Memory. IEEE Trans. Emerg. Top. Comput. 6(3): 305-316 (2018) - [j2]Mohsen Imani, Abbas Rahimi, Pietro Mercati, Tajana Simunic Rosing:
Multi-Stage Tunable Approximate Search in Resistive Associative Memory. IEEE Trans. Multi Scale Comput. Syst. 4(1): 17-29 (2018) - [c41]Mohsen Imani, Max Masich, Daniel Peroni, Pushen Wang, Tajana Rosing:
CANNA: Neural network acceleration using configurable approximation on GPGPU. ASP-DAC 2018: 682-689 - [c40]Mohsen Imani, Tarek Nassar, Abbas Rahimi, Tajana Rosing:
HDNA: Energy-efficient DNA sequencing using hyperdimensional computing. BHI 2018: 271-274 - [c39]Payap Sirinam, Mohsen Imani, Marc Juarez, Matthew Wright:
Deep Fingerprinting: Undermining Website Fingerprinting Defenses with Deep Learning. CCS 2018: 1928-1943 - [c38]Mohsen Imani, Mohammad Saidur Rahman, Matthew Wright:
Adversarial Traces for Website Fingerprinting Defense. CCS 2018: 2225-2227 - [c37]Mohsen Imani, Chenyu Huang, Deqian Kong, Tajana Rosing:
Hierarchical hyperdimensional computing for energy efficient classification. DAC 2018: 108:1-108:6 - [c36]Mohsen Imani, Saransh Gupta, Tajana Rosing:
GenPIM: Generalized processing in-memory to accelerate data intensive applications. DATE 2018: 1155-1158 - [c35]Saransh Gupta, Mohsen Imani, Tajana Rosing:
FELIX: fast and energy-efficient logic in memory. ICCAD 2018: 55 - [c34]Sahand Salamat, Mohsen Imani, Saransh Gupta, Tajana Rosing:
RNSnet: In-Memory Neural Network Acceleration Using Residue Number System. ICRC 2018: 1-12 - [c33]Yeseong Kim, Mohsen Imani, Tajana Simunic Rosing:
Efficient human activity recognition using hyperdimensional computing. IOT 2018: 38:1-38:6 - [c32]Mohsen Imani, Ricardo Garcia, Saransh Gupta, Tajana Rosing:
RMAC: Runtime Configurable Floating Point Multiplier for Approximate Computing. ISLPED 2018: 12:1-12:6 - [c31]Minxuan Zhou, Mohsen Imani, Saransh Gupta, Tajana Rosing:
GAS: A Heterogeneous Memory Architecture for Graph Processing. ISLPED 2018: 27:1-27:6 - [c30]Mohsen Imani, Daniel Peroni, Tajana Rosing:
Program acceleration using nearest distance associative search. ISQED 2018: 43-48 - [c29]Joonseop Sim, Mohsen Imani, Woojin Choi, Yeseong Kim, Tajana Rosing:
LUPIS: Latch-up based ultra efficient processing in-memory system. ISQED 2018: 55-60 - [c28]Mohsen Imani, Pushen Wang, Tajana Rosing:
Deep neural network acceleration framework under hardware uncertainty. ISQED 2018: 389-394 - [c27]Armon Barton, Matthew Wright, Jiang Ming, Mohsen Imani:
Towards Predicting Efficient and Anonymous Tor Circuits. USENIX Security Symposium 2018: 429-444 - [i7]Payap Sirinam, Mohsen Imani, Marc Juarez, Matthew Wright:
Deep Fingerprinting: Undermining Website Fingerprinting Defenses with Deep Learning. CoRR abs/1801.02265 (2018) - [i6]Armon Barton, Mohsen Imani, Jiang Ming, Matthew Wright:
Towards Predicting Efficient and Anonymous Tor Circuits. CoRR abs/1805.01977 (2018) - [i5]Mohsen Imani, Mohammad Samragh, Yeseong Kim, Saransh Gupta, Farinaz Koushanfar, Tajana Rosing:
RAPIDNN: In-Memory Deep Neural Network Acceleration Framework. CoRR abs/1806.05794 (2018) - 2017
- [j1]Mohsen Imani, John Hwang, Tajana Rosing, Abbas Rahimi, Jan M. Rabaey:
Low-Power Sparse Hyperdimensional Encoder for Language Recognition. IEEE Des. Test 34(6): 94-101 (2017) - [c26]Mohsen Imani, Yeseong Kim, Tajana Rosing:
MPIM: Multi-purpose in-memory processing using configurable resistive memory. ASP-DAC 2017: 757-763 - [c25]Mohsen Imani, Saransh Gupta, Tajana Rosing:
Ultra-Efficient Processing In-Memory for Data Intensive Applications. DAC 2017: 6:1-6:6 - [c24]Mohsen Imani, Daniel Peroni, Tajana Rosing:
CFPU: Configurable Floating Point Multiplier for Energy-Efficient Computing. DAC 2017: 76:1-76:6 - [c23]Mohsen Imani, Daniel Peroni, Yeseong Kim, Abbas Rahimi, Tajana Rosing:
Efficient neural network acceleration on GPGPU using content addressable memory. DATE 2017: 1026-1031 - [c22]Mohammad Samragh Razlighi, Mohsen Imani, Farinaz Koushanfar, Tajana Rosing:
LookNN: Neural network with no multiplication. DATE 2017: 1775-1780 - [c21]Mohsen Imani, Abbas Rahimi, Deqian Kong, Tajana Rosing, Jan M. Rabaey:
Exploring Hyperdimensional Associative Memory. HPCA 2017: 445-456 - [c20]Yeseong Kim, Mohsen Imani, Tajana Rosing:
ORCHARD: Visual object recognition accelerator based on approximate in-memory processing. ICCAD 2017: 25-32 - [c19]Mohsen Imani, Yeseong Kim, Tajana Rosing:
NNgine: Ultra-Efficient Nearest Neighbor Accelerator Based on In-Memory Computing. ICRC 2017: 1-8 - [c18]Mohsen Imani, Deqian Kong, Abbas Rahimi, Tajana Rosing:
VoiceHD: Hyperdimensional Computing for Efficient Speech Recognition. ICRC 2017: 1-8 - [c17]Mohsen Imani, Saransh Gupta, Atl Arredondo, Tajana Rosing:
Efficient query processing in crossbar memory. ISLPED 2017: 1-6 - [c16]Mohsen Imani, Tajana Rosing:
CAP: Configurable resistive associative processor for near-data computing. ISQED 2017: 346-352 - [c15]Joonseop Sim, Mohsen Imani, Yeseong Kim, Tajana Rosing:
Enabling efficient system design using vertical nanowire transistor current mode logic. VLSI-SoC 2017: 1-6 - [i4]Mohsen Imani, Armon Barton, Matthew Wright:
Forming Guard Sets using AS Relationships. CoRR abs/1706.05592 (2017) - [i3]Mohsen Imani, Mehrdad Amirabadi, Matthew Wright:
The Evaluation of Circuit Selection Methods on Tor. CoRR abs/1706.06457 (2017) - 2016
- [c14]Mohsen Imani, Shruti Patil, Tajana Simunic Rosing:
MASC: Ultra-low energy multiple-access single-charge TCAM for approximate computing. DATE 2016: 373-378 - [c13]Mohsen Imani, Abbas Rahimi, Tajana Simunic Rosing:
Resistive configurable associative memory for approximate computing. DATE 2016: 1327-1332 - [c12]Marc Juarez, Mohsen Imani, Mike Perry, Claudia Díaz, Matthew Wright:
Toward an Efficient Website Fingerprinting Defense. ESORICS (1) 2016: 27-46 - [c11]Mohsen Imani, Shruti Patil, Tajana Simunic Rosing:
DCC: Double Capacity Cache Architecture for Narrow-Width Values. ACM Great Lakes Symposium on VLSI 2016: 113-116 - [c10]Pietro Mercati, Francesco Paterna, Andrea Bartolini, Mohsen Imani, Luca Benini, Tajana Simunic Rosing:
VarDroid: Online Variability Emulation in Android/Linux Platforms. ACM Great Lakes Symposium on VLSI 2016: 269-274 - [c9]Mohsen Imani, Yeseong Kim, Abbas Rahimi, Tajana Rosing:
ACAM: Approximate Computing Based on Adaptive Associative Memory with Online Learning. ISLPED 2016: 162-167 - [c8]Mohsen Imani, Shruti Patil, Tajana Simunic Rosing:
Low power data-aware STT-RAM based hybrid cache architecture. ISQED 2016: 88-94 - [c7]Mohsen Imani, Pietro Mercati, Tajana Rosing:
ReMAM: Low energy Resistive Multi-stage Associative Memory for energy efficient computing. ISQED 2016: 101-106 - [c6]Mohsen Imani, Yan Cheng, Tajana Rosing:
Processing Acceleration with Resistive Memory-based Computation. MEMSYS 2016: 208-210 - [c5]Mohsen Imani, Abbas Rahimi, Yeseong Kim, Tajana Rosing:
A low-power hybrid magnetic cache architecture exploiting narrow-width values. NVMSA 2016: 1-6 - [i2]Mohsen Imani, Mehrdad Amirabadi, Matthew Wright:
Modified Relay Selection and Circuit Selection for Faster Tor. CoRR abs/1608.07343 (2016) - 2015
- [c4]Yeseong Kim, Mohsen Imani, Shruti Patil, Tajana Simunic Rosing:
CAUSE: Critical Application Usage-Aware Memory System using Non-volatile Memory for Mobile Devices. ICCAD 2015: 690-696 - [c3]Mohsen Imani, Shruti Patil, Tajana Simunic Rosing:
Hierarchical design of robust and low data dependent FinFET based SRAM array. NANOARCH 2015: 63-68 - [i1]Marc Juarez, Mohsen Imani, Mike Perry, Claudia Díaz, Matthew Wright:
WTF-PAD: Toward an Efficient Website Fingerprinting Defense for Tor. CoRR abs/1512.00524 (2015) - 2013
- [c2]Mohsen Jafari, Mohsen Imani, Mohammad Ansari, Morteza Fathipour, Nader Sehatbakhsh:
Design of an ultra-low power 32-bit adder operating at subthreshold voltages in 45-nm FinFET. DTIS 2013: 167-168 - [c1]Mohsen Jafari, Mohsen Imani, Morteza Fathipour, Nader Sehatbakhsh:
Bottom-up design of a high performance ultra-low power DFT utilizing multiple-VDD, multiple-Vth and gate sizing. DTIS 2013: 178-179
Coauthor Index
Xiaobo Sharon Hu
aka: X. Sharon Hu
aka: X. Sharon Hu
[j33] [c160] [c153] [c152] [i33] [c147] [c140] [c135] [c130] [c128] [c126] [j24] [c122] [c121] [c118] [c116] [c115] [c106] [i21] [c103] [c102] [c99] [c92] [c91] [c88] [c86] [c84] [c80] [c77] [i15] [c74] [c72] [c68] [c67] [j9] [c65] [c63] [c54] [c50] [c49] [c45] [c33] [c29] [i5] [c26] [c23] [c20] [c19] [c15] [c9] [c5] [c4]
[j47] [c128] [j24] [j22] [j20] [j19] [c116] [c115] [c105] [c103] [c102] [c95] [c94] [c93] [c92] [c86] [c84] [c83] [c81] [j17] [j16] [j15] [j14] [j13] [j12] [c76] [c75] [c74] [c73] [c72] [c71] [c69] [c68] [c67] [c66] [i14] [i13] [i12] [j10] [j9] [j8] [j7] [j6] [c65] [c64] [c63] [c62] [c61] [c60] [c59] [c58] [c57] [c56] [c55] [c54] [c53] [c52] [c51] [c50] [c49] [c48] [c47] [c46] [c45] [c44] [c43] [c42] [p1] [i10] [i9] [i8] [j5] [j3] [j2] [c41] [c40] [c37] [c36] [c35] [c34] [c33] [c32] [c31] [c30] [c29] [c28] [i5] [j1] [c26] [c25] [c24] [c23] [c22] [c21] [c20] [c19] [c18] [c17] [c16] [c15] [c14] [c13] [c11] [c10] [c9] [c8] [c7] [c6] [c5] [c4] [c3]
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