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2020 – today
- 2025
[j42]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)- 2024
- [j41]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) - [j40]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) - [j39]Alejandro Hernández-Cano, Yang Ni, Zhuowen Zou, Ali Zakeri, Mohsen Imani:
Hyperdimensional computing with holographic and adaptive encoder. 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) - [c161]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 - [c160]Prathyush Poduval, Zhuowen Zou, Mohsen Imani:
HDQMF: Holographic Feature Decomposition using Quantum Algorithms. CVPR 2024: 10978-10987 - [c159]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 - [c158]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 - [c157]Hyunsei Lee, Hyukjun Kwon, Jiseung Kim, Seohyun Kim, Mohsen Imani, Yeseong Kim:
Towards Forward-Only Learning for Hyperdimensional Computing. DATE 2024: 1-2 - [c156]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 - [c155]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 - [c154]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 - [c153]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 - [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 - [i52]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) - [i51]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) - [i50]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) - [i49]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) - [i48]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) - [i47]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) - [i46]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) - [i45]Calvin Yeung, Prathyush Poduval, Mohsen Imani:
Self-Attention Based Semantic Decomposition in Vector Symbolic Architectures. CoRR abs/2403.13218 (2024) - [i44]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) - [i43]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) - [i42]Calvin Yeung, Zhuowen Zou, Mohsen Imani:
Generalized Holographic Reduced Representations. CoRR abs/2405.09689 (2024) - [i41]Prathyush Poduval, Zhuowen Zou, Alvaro Velasquez, Mohsen Imani:
Hyperdimensional Quantum Factorization. CoRR abs/2406.11889 (2024) - [i40]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) - [i39]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) - [i38]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) - [i37]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) - [i36]Hanning Chen, Yang Ni, Wenjun Huang, Yezi Liu, Sungheon Jeong, Fei Wen, Nathaniel Bastian, Hugo Latapie, Mohsen Imani:
VLTP: Vision-Language Guided Token Pruning for Task-Oriented Segmentation. CoRR abs/2409.08464 (2024) - [i35]Yezi Liu, Hanning Chen, Mohsen Imani:
Promoting Fairness in Link Prediction with Graph Enhancement. CoRR abs/2409.08658 (2024) - [i34]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) - [i33]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) - [i32]Fardin Jalil Piran, Zhiling Chen, Mohsen Imani, Farhad Imani:
Privacy-Preserving Federated Learning with Differentially Private Hyperdimensional Computing. CoRR abs/2411.01140 (2024) - [i31]Sanggeon Yun, Ryozo Masukawa, William Youngwoo Chung, Minhyoung Na, Nathaniel Bastian, Mohsen Imani:
Continuous GNN-based Anomaly Detection on Edge using Efficient Adaptive Knowledge Graph Learning. CoRR abs/2411.09072 (2024) - [i30]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) - 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 Eavn Jeon, 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 Eavn Jeon, 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]