| 2026 | ACL | LUNE: Efficient LLM Unlearning via LoRA Fine-Tuning with Negative Examples. | Yezi Liu, Hanning Chen, Wenjun Huang, Yang Ni, Mohsen Imani |
| 2026 | DATE | Scalable Symbolic Reasoning with Matrix-Based Brain-Inspired Representations and Vector-Space Acceleration. | William Youngwoo Chung, Hyunwoo Oh, Hamza Errahmouni Barkam, Calvin Yeung, Mohsen Imani |
| 2026 | DATE | QUILL: An Algorithm-Architecture Co-Design for Cache-Local Deformable Attention. | Hyunwoo Oh, Hanning Chen, Sanggeon Yun, Yang Ni, Wenjun Huang, Tamoghno Das, Suyeon Jang, Mohsen Imani |
| 2026 | DATE | RIFT: A Single-Bitstream, Runtime-Adaptive FPGA-Based Accelerator for Multimodal AI. | Hyunwoo Oh, Hanning Chen, Sanggeon Yun, Yang Ni, Suyeon Jang, Behnam Khaleghi, Fei Wen, Mohsen Imani |
| 2026 | DATE | T-SAR: A Full-Stack Co-design for CPU-Only Ternary LLM Inference via In-Place SIMD ALU Reorganization. | Hyunwoo Oh, KyungIn Nam, Rajat Bhattacharjya, Hanning Chen, Tamoghno Das, Sanggeon Yun, Suyeon Jang, Andrew Ding, Nikil D. Dutt, Mohsen Imani |
| 2026 | DATE | DecoHD: Decomposed Hyperdimensional Classification under Extreme Memory Budgets. | Sanggeon Yun, Hyunwoo Oh, Ryozo Masukawa, Mohsen Imani |
| 2026 | DATE | LogHD: Robust Compression of Hyperdimensional Classifiers via Logarithmic Class-Axis Reduction. | Sanggeon Yun, Hyunwoo Oh, Ryozo Masukawa, Pietro Mercati, Nathaniel D. Bastian, Mohsen Imani |
| 2026 | ISCAS | A 40 μW 8-bit Accelerator Wake-Up Circuit for Always-on Smart IoT Sensor Monitoring. | Andrew Ding, SungHeon Evan Jeong, Xuyang Liu, Hamza Errahmouni Barkam, Shaahin Angizi, Nader Bagherzadeh, Mohsen Imani |
| 2026 | ISLPED | Integrating Symbolic and Neural Mechanisms for Adversarially Robust Hyperdimensional Computing. | Hamza Errahmouni Barkam, Salaar Saraj, Zhen Ye, Xiangjian Liu, Haleh Alimohamadi, Nathaniel D. Bastian, Mohsen Imani |
| 2026 | ISLPED | Vector-Space Projection and Unified Complex-Valued Acceleration for Scaling Matrix-Based Brain-Inspired Representations. | William Youngwoo Chung, Hyunwoo Oh, Calvin Yeung, Hansen Jin Lillemark, Hamza Errahmouni Barkam, Mohsen Imani |
| 2026 | ISLPED | Algorithm-Hardware Co-Design for Efficient Vector Symbolic Autonomous World Modeling. | Andrew Ding, William Youngwoo Chung, Nader Bagherzadeh, Mohsen Imani |
| 2026 | ISLPED | FusionSense: Tri-Stage Near-Sensor Learning for Runtime-Adaptive Multimodal Edge Intelligence. | Sanggeon Yun, Ryozo Masukawa, Minhyoung Na, Hyunwoo Oh, Yoshiki Yamaguchi, Wenjun Huang, Sungheon Jeong, Mohsen Imani |
| 2026 | WACV | Cross-Modal Event Encoder: Bridging Image-Text Knowledge to Event Streams. | Sungheon Jeong, Hanning Chen, Sanggeon Yun, Suhyeon Cho, Wenjun Huang, Xiangjian Liu, Mohsen Imani |
| 2026 | VLSID | AAMLA: An Autonomous Agentic Framework for Memory-Aware LLM-Aided Hardware Generation. | Rajat Bhattacharjya, Juhee Sung, Hangyeol Jung, Hyunwoo Oh, Arnab Sarkar, Mohsen Imani, Nikil D. Dutt |
| 2026 | WSDM | Debias Once for All: A Data-Centric Strategy for Fair Machine Learning. | Yezi Liu, Hanning Chen, Yanning Shen, Mohsen Imani |
| 2025 | ACSSC | Universal Adversarial Perturbations for Two-Stage Black-Box Object Detectors. | Peng Wu, Amidu Kamara, Mohsen Imani, Nathaniel D. Bastian, Mahdi Imani |
| 2025 | DAC | iTaskSense: Task-Oriented Object Detection in Resource-Constrained Environments. | SungHeon Jeong, Hamza Errahmouni Barkam, Hyunwoo Oh, Hanning Chen, Tamoghno Das, Zhen Ye, Mohsen Imani |
| 2025 | DATE | Late Breaking Results: Hyperdimensional Regression with Fine-Grained and Scalable Confidence-Based Learning. | Jiseung Kim, Hyunsei Lee, Tajana Rosing, Mohsen Imani, Yeseong Kim |
| 2025 | DATE | Exploiting Boosting in Hyperdimensional Computing for Enhanced Reliability in Healthcare. | Sungheon Jeong, Hamza Errahmouni Barkam, Sanggeon Yun, Yeseong Kim, Shaahin Angizi, Mohsen Imani |
| 2025 | DATE | Continuous GNN-Based Anomaly Detection on Edge Using Efficient Adaptive Knowledge Graph Learning. | Sanggeon Yun, Ryozo Masukawa, William Youngwoo Chung, Minhyoung Na, Nathaniel D. Bastian, Mohsen Imani |
| 2025 | FCCM | A Multimodal AI Acceleration with Dynamic Pruning and Run-Time Configuration. | Hyun Woo Oh, Hanning Chen, Sanggeon Yun, Yang Ni, Behnam Khaleghi, Fei Wen, Mohsen Imani |
| 2025 | ISLPED | Revisiting Reconfigurable Acceleration of Vision Transformer with Patch Pruning. | Hanning Chen, Yang Ni, Wenjun Huang, Hyunwoo Oh, Tamoghno Das, Fei Wen, Mohsen Imani |
| 2025 | WWW | White Admitted by Stanford, Black Got Rejections: Exploring Racial Stereotypes in Text-to-Image Generation from a College Admissions Lens. | Yezi Liu, Wenjun Huang, Yang Ni, Hanning Chen, Mohsen Imani |
| 2025 | WACV | VLTP: Vision-Language Guided Token Pruning for Task-Oriented Segmentation. | Hanning Chen, Yang Ni, Wenjun Huang, Yezi Liu, Sungheon Jeong, Fei Wen, Nathaniel D. Bastian, Hugo Latapie, Mohsen Imani |
| 2025 | WACV | Recoverable Anonymization for Pose Estimation: A Privacy-Enhancing Approach. | Wenjun Huang, Yang Ni, Arghavan Rezvani, Sungheon Jeong, Hanning Chen, Yezi Liu, Fei Wen, Mohsen Imani |
| 2025 | WACV | PV-VTT: A Privacy-Centric Dataset for Mission-Specific Anomaly Detection and Natural Language Interpretation. | Ryozo Masukwa, Sanggeon Yun, Yoshiki Yamaguchi, Mohsen Imani |
| 2025 | WACV | Missiongnn: Hierarchical Multimodal GNN-Based Weakly Supervised Video Anomaly Recognition with Mission-Specific Knowledge Graph Generation. | Sanggeon Yun, Ryozo Masukawa, Minhyoung Na, Mohsen Imani |
| 2025 | WACV | Hyperdimensional Representation for Adaptive Information Association and Memorization. | Zhuowen Zou, Prathyush Poduval, Narayan Srinivasa, Mohsen Imani |
| 2024 | CVPR | HDQMF: Holographic Feature Decomposition using Quantum Algorithms. | Prathyush Poduval, Zhuowen Zou, Mohsen Imani |
| 2024 | DAC | Lightator: An Optical Near-Sensor Accelerator with Compressive Acquisition Enabling Versatile Image Processing. | Mehrdad Morsali, Brendan Reidy, Deniz Najafi, Sepehr Tabrizchi, Mohsen Imani, Mahdi Nikdast, Arman Roohi, Ramtin Zand, Shaahin Angizi |
| 2024 | DATE | A FeFET-based Time-Domain Associative Memory for Multi-bit Similarity Computation. | Qingrong Huang, Hamza Errahmouni Barkam, Zeyu Yang, Jianyi Yang, Thomas Kmpfe, Kai Ni, Grace Li Zhang, Bing Li, Ulf Schlichtmann, Mohsen Imani, Cheng Zhuo, Xunzhao Yin |
| 2024 | DATE | Towards Forward-Only Learning for Hyperdimensional Computing. | Hyunsei Lee, Hyukjun Kwon, Jiseung Kim, Seohyun Kim, Mohsen Imani, Yeseong Kim |
| 2024 | DATE | OISA: Architecting an Optical In-Sensor Accelerator for Efficient Visual Computing. | Mehrdad Morsali, Sepehr Tabrizchi, Deniz Najafi, Mohsen Imani, Mahdi Nikdast, Arman Roohi, Shaahin Angizi |
| 2024 | DATE | FeReX: A Reconfigurable Design of Multi-Bit Ferroelectric Compute-in-Memory for Nearest Neighbor Search. | Zhicheng Xu, Che-Kai Liu, Chao Li, Ruibin Mao, Jianyi Yang, Thomas Kmpfe, Mohsen Imani, Can Li, Cheng Zhuo, Xunzhao Yin |
| 2024 | ECCV | TaskCLIP: Extend Large Vision-Language Model for Task Oriented Object Detection. | Hanning Chen, Wenjun Huang, Yang Ni, Sanggeon Yun, Yezi Liu, Fei Wen, Alvaro Velasquez, Hugo Latapie, Mohsen Imani |
| 2024 | FCCM | High-Performance Reconfigurable Accelerator for Knowledge Graph Reasoning. | Hanning Chen, Ali Zakeri, Yang Ni, Fei Wen, Behnam Khaleghi, Hugo Latapie, Mohsen Imani |
| 2024 | ICCAD | Bayesian-Informed Hyperdimensional Learning for Intelligent and Efficient Data Processing. | Hamza Errahmouni Barkam, Tamoghno Das, Prathyush Poduval, Sungheon Jeong, Calvin Yeung, Mostafa A. Solitan, Mohsen Imani |
| 2024 | ICCAD | TAP-CAM: A Tunable Approximate Matching Engine based on Ferroelectric Content Addressable Memory. | Chenyu Ni, Sijie Chen, Che-Kai Liu, Liu Liu, Mohsen Imani, Thomas Kmpfe, Kai Ni, Michael T. Niemier, Xiaobo Sharon Hu, Cheng Zhuo, Xunzhao Yin |
| 2024 | ICCD | Efficient Forward-Only Training for Brain-Inspired Hyperdimensional Computing. | Hyunsei Lee, Jiseung Kim, Seohyun Kim, Hyukjun Kwon, Mohsen Imani, Ilhong Suh, Yeseong Kim |
| 2024 | ICRA | Brain-Inspired Hyperdimensional Computing in the Wild: Lightweight Symbolic Learning for Sensorimotor Controls of Wheeled Robots. | Hyukjun Kwon, Kangwon Kim, Junyoung Lee, Hyunsei Lee, Jiseung Kim, Jinhyung Kim, Taehyung Kim, Yongnyeon Kim, Yang Ni, Mohsen Imani, Ilhong Suh, Yeseong Kim |
| 2023 | ACSSC | Hyperdimensional Computing for Robust and Efficient Unsupervised Learning. | Sanggeon Yun, Hamza Errahmouni Barkam, Paul R. Genssler, Hugo Latapie, Hussam Amrouch, Mohsen Imani |
| 2023 | ASPDAC | Beyond von Neumann Era: Brain-Inspired Hyperdimensional Computing to the Rescue. | Hussam Amrouch, Paul R. Genssler, Mohsen Imani, Mariam Issa, Xun Jiao, Wegdan Mohammad, Gloria Sepanta, Ruixuan Wang |
| 2023 | DAC | Lightning Talk: Bridging Neuro-Dynamics and Cognition. | Mohsen Imani |
| 2023 | DAC | Comprehensive Integration of Hyperdimensional Computing with Deep Learning towards Neuro-Symbolic AI. | Hyunsei Lee, Jiseung Kim, Hanning Chen, Ariela Zeira, Narayan Srinivasa, Mohsen Imani, Yeseong Kim |
| 2023 | DAC | Late Breaking Results: Scalable and Efficient Hyperdimensional Computing for Network Intrusion Detection. | Junyao Wang, Hanning Chen, Mariam Issa, Sitao Huang, Mohsen Imani |
| 2023 | DAC | DistHD: A Learner-Aware Dynamic Encoding Method for Hyperdimensional Classification. | Junyao Wang, Sitao Huang, Mohsen Imani |
| 2023 | DAC | BP-NTT: Fast and Compact in-SRAM Number Theoretic Transform with Bit-Parallel Modular Multiplication. | Jingyao Zhang, Mohsen Imani, Elaheh Sadredini |
| 2023 | DATE | A Linear-Time, Optimization-Free, and Edge Device-Compatible Hypervector Encoding. | Sercan Aygun, M. Hassan Najafi, Mohsen Imani |
| 2023 | DATE | Comprehensive Analysis of Hyperdimensional Computing Against Gradient Based Attacks. | Hamza Errahmouni Barkam, SungHeon Evan Jeong, Calvin Yeung, Zhuowen Zou, Xun Jiao, Mohsen Imani |
| 2023 | DATE | HDGIM: Hyperdimensional Genome Sequence Matching on Unreliable highly scaled FeFET. | Hamza Errahmouni Barkam, Sanggeon Yun, Paul R. Genssler, Zhuowen Zou, Che-Kai Liu, Hussam Amrouch, Mohsen Imani |
| 2023 | DATE | Efficient Hyperdimensional Learning with Trainable, Quantizable, and Holistic Data Representation. | Jiseung Kim, Hyunsei Lee, Mohsen Imani, Yeseong Kim |
| 2023 | FPL | HyperGRAF: Hyperdimensional Graph-Based Reasoning Acceleration on FPGA. | Hanning Chen, Ali Zakeri, Fei Wen, Hamza Errahmouni Barkam, Mohsen Imani |
| 2023 | ICCAD | Invited Paper: Hyperdimensional Computing for Resilient Edge Learning. | Hamza Errahmouni Barkam, SungHeon Evan Jeong, Sanggeon Yun, Calvin Yeung, Zhuowen Zou, Xun Jiao, Narayan Srinivasa, Mohsen Imani |
| 2023 | ICCAD | Reliable Hyperdimensional Reasoning on Unreliable Emerging Technologies. | Hamza Errahmouni Barkam, Sanggeon Yun, Hanning Chen, Paul Gensler, Albi Mema, Andrew Ding, George Michelogiannakis, Hussam Amrouch, Mohsen Imani |
| 2023 | ICCAD | Brain-Inspired Trustworthy Hyperdimensional Computing with Efficient Uncertainty Quantification. | Yang Ni, Hanning Chen, Prathyush Poduval, Zhuowen Zou, Pietro Mercati, Mohsen Imani |
| 2023 | ICCAD | SEE-MCAM: Scalable Multi-Bit FeFET Content Addressable Memories for Energy Efficient Associative Search. | Shengxi Shou, Che-Kai Liu, Sanggeon Yun, Zishen Wan, Kai Ni, Mohsen Imani, X. Sharon Hu, Jianyi Yang, Cheng Zhuo, Xunzhao Yin |
| 2023 | ICDCS | Hierarchical, Distributed and Brain-Inspired Learning for Internet of Things Systems. | Mohsen Imani, Yeseong Kim, Behnam Khaleghi, Justin Morris, Haleh Alimohamadi, Farhad Imani, Hugo Latapie |
| 2023 | IJCAI | Algorithm-Hardware Co-Design for Efficient Brain-Inspired Hyperdimensional Learning on Edge (Extended Abstract). | Yang Ni, Yeseong Kim, Tajana Rosing, Mohsen Imani |
| 2022 | DAC | Energy efficient data search design and optimization based on a compact ferroelectric FET content addressable memory. | Jiahao Cai, Mohsen Imani, Kai Ni, Grace Li Zhang, Bing Li, Ulf Schlichtmann, Cheng Zhuo, Xunzhao Yin |
| 2022 | DAC | Neural computation for robust and holographic face detection. | Mohsen Imani, Ali Zakeri, Hanning Chen, Taehyun Kim, Prathyush Poduval, Hyunsei Lee, Yeseong Kim, Elaheh Sadredini, Farhad Imani |
| 2022 | DAC | A fast and low-cost comparison-free sorting engine with unary computing: late breaking results. | Amir Hossein Jalilvand, Seyedeh Newsha Estiri, Samaneh Naderi, M. Hassan Najafi, Mohsen Imani |
| 2022 | DAC | HDPG: hyperdimensional policy-based reinforcement learning for continuous control. | Yang Ni, Mariam Issa, Danny Abraham, Mahdi Imani, Xunzhao Yin, Mohsen Imani |
| 2022 | DAC | QuiltNet: efficient deep learning inference on multi-chip accelerators using model partitioning. | Jongho Park, Hyukjun Kwon, Seowoo Kim, Junyoung Lee, Minho Ha, Euicheol Lim, Mohsen Imani, Yeseong Kim |
| 2022 | DAC | Adaptive neural recovery for highly robust brain-like representation. | Prathyush Poduval, Yang Ni, Yeseong Kim, Kai Ni, Raghavan Kumar, Rosario Cammarota, Mohsen Imani |
| 2022 | DATE | Algorithm-Hardware Co-Design for Efficient Brain-Inspired Hyperdimensional Learning on Edge. | Yang Ni, Yeseong Kim, Tajana Rosing, Mohsen Imani |
| 2022 | DATE | Online Performance and Power Prediction for Edge TPU via Comprehensive Characterization. | Yang Ni, Yeseong Kim, Tajana Rosing, Mohsen Imani |
| 2022 | FCCM | Density-Aware Parallel Hyperdimensional Genome Sequence Matching. | Hanning Chen, Mohsen Imani |
| 2022 | ICCAD | DARL: Distributed Reconfigurable Accelerator for Hyperdimensional Reinforcement Learning. | Hanning Chen, Mariam Issa, Yang Ni, Mohsen Imani |
| 2022 | ICCAD | COSIME: FeFET Based Associative Memory for In-Memory Cosine Similarity Search. | 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 |
| 2022 | ICCAD | Neurally-Inspired Hyperdimensional Classification for Efficient and Robust Biosignal Processing. | Yang Ni, Nicholas A. Lesica, Fan-Gang Zeng, Mohsen Imani |
| 2022 | ICCAD | ScaleHD: Robust Brain-Inspired Hyperdimensional Computing via Adapative Scaling. | Sizhe Zhang, Mohsen Imani, Xun Jiao |
| 2022 | ICCD | Full Stack Parallel Online Hyperdimensional Regression on FPGA. | Hanning Chen, M. Hassan Najafi, Elaheh Sadredini, Mohsen Imani |
| 2022 | ICCD | Hyperdimensional Hybrid Learning on End-Edge-Cloud Networks. | Mariam Issa, Sina Shahhosseini, Yang Ni, Tianyi Hu, Danny Abraham, Amir M. Rahmani, Nikil D. Dutt, Mohsen Imani |
| 2022 | ISCA | BioHD: an efficient genome sequence search platform using HyperDimensional memorization. | Zhuowen Zou, Hanning Chen, Prathyush Poduval, Yeseong Kim, Mahdi Imani, Elaheh Sadredini, Rosario Cammarota, Mohsen Imani |
| 2021 | ASPDAC | Cross-layer Design for Computing-in-Memory: From Devices, Circuits, to Architectures and Applications. | Hussam Amrouch, Xiaobo Sharon Hu, Mohsen Imani, Ann Franchesca Laguna, Michael T. Niemier, Simon Thomann, Xunzhao Yin, Cheng Zhuo |
| 2021 | ASPDAC | HyperRec: Efficient Recommender Systems with Hyperdimensional Computing. | Yunhui Guo, Mohsen Imani, Jaeyoung Kang, Sahand Salamat, Justin Morris, Baris Aksanli, Yeseong Kim, Tajana Rosing |
| 2021 | ASPDAC | DP-Sim: A Full-stack Simulation Infrastructure for Digital Processing In-Memory Architectures. | Minxuan Zhou, Mohsen Imani, Yeseong Kim, Saransh Gupta, Tajana Rosing |
| 2021 | DAC | PRID: Model Inversion Privacy Attacks in Hyperdimensional Learning Systems. | Alejandro Hernndez-Cano, Rosario Cammarota, Mohsen Imani |
| 2021 | DAC | RegHD: Robust and Efficient Regression in Hyper-Dimensional Learning System. | Alejandro Hernndez-Cano, Cheng Zhuo, Xunzhao Yin, Mohsen Imani |
| 2021 | DAC | CascadeHD: Efficient Many-Class Learning Framework Using Hyperdimensional Computing. | Yeseong Kim, Jiseung Kim, Mohsen Imani |
| 2021 | DAC | StocHD: Stochastic Hyperdimensional System for Efficient and Robust Learning from Raw Data. | Prathyush Poduval, Zhuowen Zou, M. Hassan Najafi, Houman Homayoun, Mohsen Imani |
| 2021 | DAC | Cognitive Correlative Encoding for Genome Sequence Matching in Hyperdimensional System. | Prathyush Poduval, Zhuowen Zou, Xunzhao Yin, Elaheh Sadredini, Mohsen Imani |
| 2021 | DATE | A Low-Cost FSM-based Bit-Stream Generator for Low-Discrepancy Stochastic Computing. | Sina Asadi, M. Hassan Najafi, Mohsen Imani |
| 2021 | DATE | TruLook: A Framework for Configurable GPU Approximation. | Ricardo Garcia, Fatemeh Asgarinejad, Behnam Khaleghi, Tajana Rosing, Mohsen Imani |
| 2021 | DATE | OnlineHD: Robust, Efficient, and Single-Pass Online Learning Using Hyperdimensional System. | Alejandro Hernndez-Cane, Namiko Matsumoto, Eric Ping, Mohsen Imani |
| 2021 | DATE | A Framework for Efficient and Binary Clustering in High-Dimensional Space. | Alejandro Hernndez-Cano, Yeseong Kim, Mohsen Imani |
| 2021 | DATE | HyDREA: Towards More Robust and Efficient Machine Learning Systems with Hyperdimensional Computing. | Justin Morris, Kazim Ergun, Behnam Khaleghi, Mohsen Imani, Baris Aksanli, Tajana Rosing |
| 2021 | DATE | Energy-Aware Designs of Ferroelectric Ternary Content Addressable Memory. | Yu Qian, Zhenhao Fan, Haoran Wang, Chao Li, Mohsen Imani, Kai Ni, Grace Li Zhang, Bing Li, Ulf Schlichtmann, Cheng Zhuo, Xunzhao Yin |
| 2021 | DATE | FPGA Acceleration of Protein Back-Translation and Alignment. | Sahand Salamat, Jaeyoung Kang, Yeseong Kim, Mohsen Imani, Niema Moshiri, Tajana Rosing |
| 2021 | DATE | HyGraph: Accelerating Graph Processing with Hybrid Memory-centric Computing. | Minxuan Zhou, Muzhou Li, Mohsen Imani, Tajana Rosing |
| 2021 | DATE | ManiHD: Efficient Hyper-Dimensional Learning Using Manifold Trainable Encoder. | Zhuowen Zou, Yeseong Kim, M. Hassan Najafi, Mohsen Imani |
| 2021 | HPCA | Revisiting HyperDimensional Learning for FPGA and Low-Power Architectures. | Mohsen Imani, Zhuowen Zou, Samuel Bosch, Sanjay Anantha Rao, Sahand Salamat, Venkatesh Kumar, Yeseong Kim, Tajana Rosing |
| 2021 | ICCAD | CORLD: In-Stream Correlation Manipulation for Low-Discrepancy Stochastic Computing. | Sina Asadi, M. Hassan Najafi, Mohsen Imani |
| 2021 | ICCAD | Massively Parallel Big Data Classification on a Programmable Processing In-Memory Architecture. | Yeseong Kim, Mohsen Imani, Saransh Gupta, Minxuan Zhou, Tajana Simunic Rosing |
| 2021 | ICCD | AdaptBit-HD: Adaptive Model Bitwidth for Hyperdimensional Computing. | Justin Morris, Si Thu Kaung Set, Gadi Rosen, Mohsen Imani, Baris Aksanli, Tajana Rosing |
| 2021 | ISLPED | MIMHD: Accurate and Efficient Hyperdimensional Inference Using Multi-Bit In-Memory Computing. | Arman Kazemi, Mohammad Mehdi Sharifi, Zhuowen Zou, Michael T. Niemier, X. Sharon Hu, Mohsen Imani |
| 2021 | MASCOTS | Efficient Brain-Inspired Hyperdimensional Learning with Spatiotemporal Structured Data. | Jiseung Kim, Hyunsei Lee, Mohsen Imani, Yeseong Kim |
| 2021 | MICRO | Sunder: Enabling Low-Overhead and Scalable Near-Data Pattern Matching Acceleration. | Elaheh Sadredini, Reza Rahimi, Mohsen Imani, Kevin Skadron |
| 2021 | SC | Scalable edge-based hyperdimensional learning system with brain-like neural adaptation. | Zhuowen Zou, Yeseong Kim, Farhad Imani, Haleh Alimohamadi, Rosario Cammarota, Mohsen Imani |
| 2020 | DAC | Prive-HD: Privacy-Preserved Hyperdimensional Computing. | Behnam Khaleghi, Mohsen Imani, Tajana Rosing |
| 2020 | DAC | CryptoPIM: In-memory Acceleration for Lattice-based Cryptographic Hardware. | Hamid Nejatollahi, Saransh Gupta, Mohsen Imani, Tajana Simunic Rosing, Rosario Cammarota, Nikil D. Dutt |
| 2020 | DATE | SCRIMP: A General Stochastic Computing Architecture using ReRAM in-Memory Processing. | Saransh Gupta, Mohsen Imani, Joonseop Sim, Andrew Huang, Fan Wu, M. Hassan Najafi, Tajana Rosing |
| 2020 | DATE | GenieHD: Efficient DNA Pattern Matching Accelerator Using Hyperdimensional Computing. | Yeseong Kim, Mohsen Imani, Niema Moshiri, Tajana Rosing |
| 2020 | HPCA | Deep Learning Acceleration with Neuron-to-Memory Transformation. | Mohsen Imani, Mohammad Samragh Razlighi, Yeseong Kim, Saransh Gupta, Farinaz Koushanfar, Tajana Rosing |
| 2020 | ICCAD | Optimally Approximated and Unbiased Floating-Point Multiplier with Runtime Configurability. | Chuangtao Chen, Sen Yang, Weikang Qian, Mohsen Imani, Xunzhao Yin, Cheng Zhuo |
| 2020 | ICCAD | THRIFTY: Training with Hyperdimensional Computing across Flash Hierarchy. | Saransh Gupta, Justin Morris, Mohsen Imani, Ranganathan Ramkumar, Jeffrey Yu, Aniket Tiwari, Baris Aksanli, Tajana Simunic Rosing |
| 2020 | ISLPED | Implementing binary neural networks in memory with approximate accumulation. | Saransh Gupta, Mohsen Imani, Hengyu Zhao, Fan Wu, Jishen Zhao, Tajana Simunic Rosing |
| 2020 | MICRO | DUAL: Acceleration of Clustering Algorithms using Digital-based Processing In-Memory. | Mohsen Imani, Saikishan Pampana, Saransh Gupta, Minxuan Zhou, Yeseong Kim, Tajana Rosing |
| 2019 | ASPDAC | FACH: FPGA-based acceleration of hyperdimensional computing by reducing computational complexity. | Mohsen Imani, Sahand Salamat, Saransh Gupta, Jiani Huang, Tajana Rosing |
| 2019 | ASPDAC | ALook: adaptive lookup for GPGPU acceleration. | Daniel Peroni, Mohsen Imani, Tajana Rosing |
| 2019 | ASPDAC | GRAM: graph processing in a ReRAM-based computational memory. | Minxuan Zhou, Mohsen Imani, Saransh Gupta, Yeseong Kim, Tajana Rosing |
| 2019 | DAC | BRIC: Locality-based Encoding for Energy-Efficient Brain-Inspired Hyperdimensional Computing. | Mohsen Imani, Justin Morris, John Messerly, Helen Shu, Yaobang Deng, Tajana Rosing |
| 2019 | DAC | ApproxLP: Approximate Multiplication with Linearization and Iterative Error Control. | Mohsen Imani, Alice Sokolova, Ricardo Garcia, Andrew Huang, Fan Wu, Baris Aksanli, Tajana Rosing |
| 2019 | DAC | ARGA: Approximate Reuse for GPGPU Acceleration. | Daniel Peroni, Mohsen Imani, Hamid Nejatollahi, Nikil D. Dutt, Tajana Rosing |
| 2019 | DAC | Thermal-Aware Design and Management for Search-based In-Memory Acceleration. | Minxuan Zhou, Mohsen Imani, Saransh Gupta, Tajana Rosing |
| 2019 | DATE | CADE: Configurable Approximate Divider for Energy Efficiency. | Mohsen Imani, Ricardo Garcia, Andrew Huang, Tajana Rosing |
| 2019 | DATE | HDCluster: An Accurate Clustering Using Brain-Inspired High-Dimensional Computing. | Mohsen Imani, Yeseong Kim, Thomas Worley, Saransh Gupta, Tajana Rosing |
| 2019 | DATE | A Binary Learning Framework for Hyperdimensional Computing. | Mohsen Imani, John Messerly, Fan Wu, Wang Pi, Tajana Rosing |
| 2019 | FCCM | SparseHD: Algorithm-Hardware Co-optimization for Efficient High-Dimensional Computing. | Mohsen Imani, Sahand Salamat, Behnam Khaleghi, Mohammad Samragh, Farinaz Koushanfar, Tajana Rosing |
| 2019 | FPGA | F5-HD: Fast Flexible FPGA-based Framework for Refreshing Hyperdimensional Computing. | Sahand Salamat, Mohsen Imani, Behnam Khaleghi, Tajana Rosing |
| 2019 | ICCAD | SemiHD: Semi-Supervised Learning Using Hyperdimensional Computing. | Mohsen Imani, Samuel Bosch, Mojan Javaheripi, Bita Darvish Rouhani, Xinyu Wu, Farinaz Koushanfar, Tajana Rosing |
| 2019 | ICCAD | Workload-Aware Opportunistic Energy Efficiency in Multi-FPGA Platforms. | Sahand Salamat, Behnam Khaleghi, Mohsen Imani, Tajana Rosing |
| 2019 | ICCD | FPGA Energy Efficiency by Leveraging Thermal Margin. | Behnam Khaleghi, Sahand Salamat, Mohsen Imani, Tajana Rosing |
| 2019 | ISCA | FloatPIM: in-memory acceleration of deep neural network training with high precision. | Mohsen Imani, Saransh Gupta, Yeseong Kim, Tajana Rosing |
| 2019 | ISLPED | RAPID: A ReRAM Processing in-Memory Architecture for DNA Sequence Alignment. | Saransh Gupta, Mohsen Imani, Behnam Khaleghi, Venkatesh Kumar, Tajana Rosing |
| 2019 | ISLPED | CompHD: Efficient Hyperdimensional Computing Using Model Compression. | Justin Morris, Mohsen Imani, Samuel Bosch, Anthony Thomas, Helen Shu, Tajana Rosing |
| 2018 | ASPDAC | CANNA: Neural network acceleration using configurable approximation on GPGPU. | Mohsen Imani, Max Masich, Daniel Peroni, Pushen Wang, Tajana Rosing |
| 2018 | CCS | Adversarial Traces for Website Fingerprinting Defense. | Mohsen Imani, Mohammad Saidur Rahman, Matthew Wright |
| 2018 | CCS | Deep Fingerprinting: Undermining Website Fingerprinting Defenses with Deep Learning. | Payap Sirinam, Mohsen Imani, Marc Juarez, Matthew Wright |
| 2018 | DAC | Hierarchical hyperdimensional computing for energy efficient classification. | Mohsen Imani, Chenyu Huang, Deqian Kong, Tajana Rosing |
| 2018 | DATE | GenPIM: Generalized processing in-memory to accelerate data intensive applications. | Mohsen Imani, Saransh Gupta, Tajana Rosing |
| 2018 | ICCAD | FELIX: fast and energy-efficient logic in memory. | Saransh Gupta, Mohsen Imani, Tajana Rosing |
| 2018 | ISLPED | RMAC: Runtime Configurable Floating Point Multiplier for Approximate Computing. | Mohsen Imani, Ricardo Garcia, Saransh Gupta, Tajana Rosing |
| 2018 | ISLPED | GAS: A Heterogeneous Memory Architecture for Graph Processing. | Minxuan Zhou, Mohsen Imani, Saransh Gupta, Tajana Rosing |
| 2017 | ASPDAC | MPIM: Multi-purpose in-memory processing using configurable resistive memory. | Mohsen Imani, Yeseong Kim, Tajana Rosing |
| 2017 | DAC | Ultra-Efficient Processing In-Memory for Data Intensive Applications. | Mohsen Imani, Saransh Gupta, Tajana Rosing |
| 2017 | DAC | CFPU: Configurable Floating Point Multiplier for Energy-Efficient Computing. | Mohsen Imani, Daniel Peroni, Tajana Rosing |
| 2017 | DATE | Efficient neural network acceleration on GPGPU using content addressable memory. | Mohsen Imani, Daniel Peroni, Yeseong Kim, Abbas Rahimi, Tajana Rosing |
| 2017 | DATE | LookNN: Neural network with no multiplication. | Mohammad Samragh Razlighi, Mohsen Imani, Farinaz Koushanfar, Tajana Rosing |
| 2017 | HPCA | Exploring Hyperdimensional Associative Memory. | Mohsen Imani, Abbas Rahimi, Deqian Kong, Tajana Rosing, Jan M. Rabaey |
| 2017 | ICCAD | ORCHARD: Visual object recognition accelerator based on approximate in-memory processing. | Yeseong Kim, Mohsen Imani, Tajana Rosing |
| 2017 | ISLPED | Efficient query processing in crossbar memory. | Mohsen Imani, Saransh Gupta, Atl Arredondo, Tajana Rosing |
| 2016 | DATE | MASC: Ultra-low energy multiple-access single-charge TCAM for approximate computing. | Mohsen Imani, Shruti Patil, Tajana Simunic Rosing |
| 2016 | DATE | Resistive configurable associative memory for approximate computing. | Mohsen Imani, Abbas Rahimi, Tajana Simunic Rosing |
| 2016 | ESORICS | Toward an Efficient Website Fingerprinting Defense. | Marc Juarez, Mohsen Imani, Mike Perry, Claudia Daz, Matthew Wright |
| 2016 | ISLPED | ACAM: Approximate Computing Based on Adaptive Associative Memory with Online Learning. | Mohsen Imani, Yeseong Kim, Abbas Rahimi, Tajana Rosing |
| 2015 | ICCAD | CAUSE: Critical Application Usage-Aware Memory System using Non-volatile Memory for Mobile Devices. | Yeseong Kim, Mohsen Imani, Shruti Patil, Tajana Simunic Rosing |