Mohsen Imani - RankMe

339 papers A* 41A 69B 4C 10Misc 7Journal 151Unranked 55

Year	Rank	Type	Title / Venue / Authors
2026	Misc	`conf`	AAMLA: An Autonomous Agentic Framework for Memory-Aware LLM-Aided Hardware Generation. VLSID Rajat Bhattacharjya, Juhee Sung, Hangyeol Jung, Hyunwoo Oh, Arnab Sarkar, Mohsen Imani, Nikil D. Dutt
2026	J	`jnl`	Contextual Fusion Strategies for Multimodal GNN-Based Reasoning: Performance and Computational Trade-Offs. IEEE Access Sanggeon Yun, Ryozo Masukawa, Raheeb Hassan, Minhyoung Na, Mohsen Imani
2026	J	`jnl`	Coupled Inference in Diffusion Models for Semantic Decomposition. CoRR Calvin Yeung, Ali Zakeri, Zhuowen Zou, Mohsen Imani
2026	A	`conf`	Debias Once for All: A Data-Centric Strategy for Fair Machine Learning. WSDM Yezi Liu, Hanning Chen, Yanning Shen, Mohsen Imani
2026	J	`jnl`	Fair Context Learning for Evidence-Balanced Test-Time Adaptation in Vision-Language Models. CoRR Sanggeon Yun, Ryozo Masukawa, Sungheon Jeong, Wenjun Huang, Hanning Chen, Mohsen Imani
2026	J	`jnl`	Geometric Priors for Generalizable World Models via Vector Symbolic Architecture. CoRR William Youngwoo Chung, Calvin Yeung, Hansen Jin Lillemark, Zhuowen Zou, Xiangjian Liu, Mohsen Imani
2026	J	`jnl`	HEAL: Brain-Inspired Hyperdimensional Efficient Active Learning. IEEE Trans. Artif. Intell. Yang Ni, Zhuowen Zou, Wenjun Huang, Hanning Chen, William Youngwoo Chung, Samuel Cho, Ranganath Krishnan, Pietro Mercati, Mohsen Imani
2026	J	`jnl`	HopFormer: Sparse Graph Transformers with Explicit Receptive Field Control. CoRR Sanggeon Yun, Raheeb Hassan, Ryozo Masukawa, Sungheon Jeong, Mohsen Imani
2026	J	`jnl`	Internal Flow Signatures for Self-Checking and Refinement in LLMs. CoRR Sungheon Jeong, Sanggeon Yun, Ryozo Masukawa, Wenjun Haung, Hanning Chen, Mohsen Imani
2026	J	`jnl`	MERIT: Multi-domain Efficient RAW Image Translation. CoRR Wenjun Huang, Shenghao Fu, Yian Jin, Yang Ni, Ziteng Cui, Hanning Chen, Yirui He, Yezi Liu, Sanggeon Yun, Sungheon Jeong, Ryozo Masukawa, William Youngwoo Chung, Mohsen Imani
2026	J	`jnl`	Optimal hyperdimensional representation for learning and cognitive computation. Frontiers Artif. Intell. Prathyush Poduval, Hamza Errahmouni Barkam, Xiangjian Liu, Sanggeon Yun, Yang Ni, Zhuowen Zou, Nathaniel D. Bastian, Mohsen Imani
2026	J	`jnl`	Opto-Aligner: Optical Near-Sensor Architecture for Accelerating DNA Pre-Alignment Filtering. IEEE J. Emerg. Sel. Topics Circuits Syst. Deniz Najafi, Hamza Errahmouni Barkam, Zahra Ghanaatian, Mehrdad Morsali, Hanning Chen, Tamoghno Das, Arman Roohi, Pietro Mercati, Mahdi Nikdast, Mohsen Imani, Shaahin Angizi
2026	J	`jnl`	TRINE: A Token-Aware, Runtime-Adaptive FPGA Inference Engine for Multimodal AI. CoRR Hyunwoo Oh, Hanning Chen, Sanggeon Yun, Yang Ni, Suyeon Jang, Behnam Khaleghi, Fei Wen, Mohsen Imani
2026	J	`jnl`	TorR: Towards Brain-Inspired Task-Oriented Reasoning via Cache-Oriented Algorithm-Architecture Co-design. CoRR Hyunwoo Oh, Sungheon Jeong, Suyeon Jang, Hanning Chen, Sanggeon Yun, Tamoghno Das, Mohsen Imani
2025	J	`jnl`	A Few Large Shifts: Layer-Inconsistency Based Minimal Overhead Adversarial Example Detection. CoRR Sanggeon Yun, Ryozo Masukawa, Hyunwoo Oh, Nathaniel D. Bastian, Mohsen Imani
2025	J	`jnl`	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. 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
2025	Misc	`conf`	A Multimodal AI Acceleration with Dynamic Pruning and Run-Time Configuration. FCCM Hyun Woo Oh, Hanning Chen, Sanggeon Yun, Yang Ni, Behnam Khaleghi, Fei Wen, Mohsen Imani
2025	J	`jnl`	A Scalable 2T-1FeFET-Based Content Addressable Memory Design for Energy Efficient Data Search. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Jiahao Cai, Hamza Errahmouni Barkam, Mohsen Imani, Kai Ni, Grace Li Zhang, Bing Li, Ulf Schlichtmann, Cheng Zhuo, Xunzhao Yin
2025	J	`jnl`	ASTER: Attention-based Spiking Transformer Engine for Event-driven Reasoning. CoRR Tamoghno Das, Khanh Phan Vu, Hanning Chen, Hyunwoo Oh, Mohsen Imani
2025	J	`jnl`	AVERY: Adaptive VLM Split Computing through Embodied Self-Awareness for Efficient Disaster Response Systems. CoRR Rajat Bhattacharjya, Sing-Yao Wu, Hyunwoo Oh, Chaewon Nam, Suyeon Koo, Mohsen Imani, Elaheh Bozorgzadeh, Nikil D. Dutt
2025	J	`jnl`	Are Hypervectors Enough? Single-Call LLM Reasoning over Knowledge Graphs. CoRR Yezi Liu, William Youngwoo Chung, Hanning Chen, Calvin Yeung, Mohsen Imani
2025	J	`jnl`	Can Multimodal Large Language Models be Guided to Improve Industrial Anomaly Detection? CoRR Zhiling Chen, Hanning Chen, Mohsen Imani, Farhad Imani
2025	J	`jnl`	Cauchy-Schwarz Fairness Regularizer. CoRR Yezi Liu, Hanning Chen, Wenjun Huang, Yang Ni, Mohsen Imani
2025	J	`jnl`	Cognitive map formation under uncertainty via local prediction learning. Intell. Syst. Appl. Calvin Yeung, Zhuowen Zou, Nathaniel D. Bastian, Mohsen Imani
2025	J	`jnl`	Configurable hyperdimensional graph representation. Artif. Intell. Ali Zakeri, Zhuowen Zou, Hanning Chen, Mohsen Imani
2025	A	`conf`	Continuous GNN-Based Anomaly Detection on Edge Using Efficient Adaptive Knowledge Graph Learning. DATE Sanggeon Yun, Ryozo Masukawa, William Youngwoo Chung, Minhyoung Na, Nathaniel D. Bastian, Mohsen Imani
2025	J	`jnl`	CyberRL: Brain-Inspired Reinforcement Learning for Efficient Network Intrusion Detection. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Mariam Issa, Hanning Chen, Junyao Wang, Mohsen Imani
2025	J	`jnl`	DecoHD: Decomposed Hyperdimensional Classification under Extreme Memory Budgets. CoRR Sanggeon Yun, Hyunwoo Oh, Ryozo Masukawa, Mohsen Imani
2025	J	`jnl`	Draft and Refine with Visual Experts. CoRR Sungheon Jeong, Ryozo Masukawa, Jihong Park, Sanggeon Yun, Wenjun Huang, Hanning Chen, Mahdi Imani, Mohsen Imani
2025	J	`jnl`	DynHD: Hyperdimensional Computing Approach for Efficient Radar Spectrum Classification. IEEE Embed. Syst. Lett. Zhuowen Zou, Yang Ni, Sungheon Jeong, Satish Ravindran, Binbin Shi, Phil Chen, Mohsen Imani
2025	—	`conf`	Dyna-Optics: Architecting a Channel-Adaptive DNN Near-Sensor Optical Accelerator for Dynamic Inference. COINS Deniz Najafi, Wanhao Yu, Mehrdad Morsali, Pietro Mercati, Mohsen Imani, Mahdi Nikdast, Li Yang, Shaahin Angizi
2025	J	`jnl`	Enabling Efficient and Interpretable Cybersecurity Reasoning Through Hyperdimensional Computing. IEEE Trans. Artif. Intell. Ali Zakeri, Hanning Chen, Narayan Srinivasa, Hugo Latapie, Mohsen Imani
2025	J	`jnl`	Enabling Group Fairness in Graph Unlearning via Bi-level Debiasing. CoRR Yezi Liu, Prathyush Poduval, Wenjun Huang, Yang Ni, Hanning Chen, Mohsen Imani
2025	—	`conf`	Event-Driven Spatiotemporal Processing-In-Sensor with Phase Change Memory-based Optical Acceleration. ACM Great Lakes Symposium on VLSI Mehrdad Morsali, Deniz Najafi, Amin Shafiee, Sepehr Tabrizchi, Pietro Mercati, Mohsen Imani, Arman Roohi, Navid Khoshavi, Mahdi Nikdast, Shaahin Angizi
2025	J	`jnl`	Explainable Differential Privacy-Hyperdimensional Computing for Balancing Privacy and Transparency in Additive Manufacturing Monitoring. Eng. Appl. Artif. Intell. Fardin Jalil Piran, Prathyush Poduval, Hamza Errahmouni Barkam, Mohsen Imani, Farhad Imani
2025	A	`conf`	Exploiting Boosting in Hyperdimensional Computing for Enhanced Reliability in Healthcare. DATE Sungheon Jeong, Hamza Errahmouni Barkam, Sanggeon Yun, Yeseong Kim, Shaahin Angizi, Mohsen Imani
2025	—	`conf`	From Pixels to Reasoning: A Cross-Layer Photonic Design for Edge Visual Intelligence. ISVLSI Deniz Najafi, Mehrdad Morsali, Hamza Errahmouni Barkam, Brendan Reidy, Sepehr Tabrizchi, Arman Roohi, Mahdi Nikdast, Ramtin Zand, Mohsen Imani, Shaahin Angizi
2025	J	`jnl`	HYPERDOA: Robust and Efficient DoA Estimation using Hyperdimensional Computing. CoRR Rajat Bhattacharjya, Woohyeok Park, Arnab Sarkar, Hyunwoo Oh, Mohsen Imani, Nikil D. Dutt
2025	J	`jnl`	Hyperdimensional Intelligent Sensing for Efficient Real-Time Audio Processing on Extreme Edge. IEEE Access Sanggeon Yun, Ryozo Masukawa, Hanning Chen, Sungheon Jeong, Wenjun Huang, Arghavan Rezvani, Minhyoung Na, Yoshiki Yamaguchi, Mohsen Imani
2025	J	`jnl`	Hyperdimensional Intelligent Sensing for Efficient Real-Time Audio Processing on Extreme Edge. CoRR Sanggeon Yun, Ryozo Masukawa, Hanning Chen, Sungheon Jeong, Wenjun Huang, Arghavan Rezvani, Minhyoung Na, Yoshiki Yamaguchi, Mohsen Imani
2025	A	`conf`	Hyperdimensional Representation for Adaptive Information Association and Memorization. WACV Zhuowen Zou, Prathyush Poduval, Narayan Srinivasa, Mohsen Imani
2025	—	`conf`	KGAccel: A Domain-Specific Reconfigurable Accelerator for Knowledge Graph Reasoning. NeuS Hanning Chen, Ali Zakeri, Yang Ni, Fei Wen, Behnam Khaleghi, Hugo Latapie, Alvaro Velasquez, Mohsen Imani
2025	J	`jnl`	LUNE: Efficient LLM Unlearning via LoRA Fine-Tuning with Negative Examples. CoRR Yezi Liu, Hanning Chen, Wenjun Huang, Yang Ni, Mohsen Imani
2025	A*	`conf`	LVLM_CSP: Accelerating Large Vision Language Models via Clustering, Scattering, and Pruning for Reasoning Segmentation. ACM Multimedia Hanning Chen, Yang Ni, Wenjun Huang, Hyunwoo Oh, Yezi Liu, Tamoghno Das, Mohsen Imani
2025	J	`jnl`	LVLM_CSP: Accelerating Large Vision Language Models via Clustering, Scattering, and Pruning for Reasoning Segmentation. CoRR Hanning Chen, Yang Ni, Wenjun Huang, Hyunwoo Oh, Yezi Liu, Tamoghno Das, Mohsen Imani
2025	A	`conf`	Late Breaking Results: Hyperdimensional Regression with Fine-Grained and Scalable Confidence-Based Learning. DATE Jiseung Kim, Hyunsei Lee, Tajana Rosing, Mohsen Imani, Yeseong Kim
2025	J	`jnl`	Lipschitz-based robustness estimation for hyperdimensional learning. Frontiers Artif. Intell. Calvin Yeung, Hamza Errahmouni Barkam, Zhuowen Zou, Sanggeon Yun, Nathaniel D. Bastian, Mohsen Imani
2025	J	`jnl`	LogHD: Robust Compression of Hyperdimensional Classifiers via Logarithmic Class-Axis Reduction. CoRR Sanggeon Yun, Hyunwoo Oh, Ryozo Masukawa, Pietro Mercati, Nathaniel D. Bastian, Mohsen Imani
2025	J	`jnl`	MissionHD: Data-Driven Refinement of Reasoning Graph Structure through Hyperdimensional Causal Path Encoding and Decoding. CoRR Sanggeon Yun, Raheeb Hassan, Ryozo Masukawa, Mohsen Imani
2025	A	`conf`	Missiongnn: Hierarchical Multimodal GNN-Based Weakly Supervised Video Anomaly Recognition with Mission-Specific Knowledge Graph Generation. WACV Sanggeon Yun, Ryozo Masukawa, Minhyoung Na, Mohsen Imani
2025	J	`jnl`	Mitigating Bias in Graph Hyperdimensional Computing. CoRR Yezi Liu, William Youngwoo Chung, Yang Ni, Hanning Chen, Mohsen Imani
2025	J	`jnl`	Neuro-Photonix: Enabling Near-Sensor Neuro-Symbolic AI Computing on Silicon Photonics Substrate. IEEE Trans. Circuits Syst. Artif. Intell. Deniz Najafi, Hamza Errahmouni Barkam, Mehrdad Morsali, Sungheon Jeong, Tamoghno Das, Arman Roohi, Mahdi Nikdast, Mohsen Imani, Shaahin Angizi
2025	J	`jnl`	PACKETCLIP: multi-modal embedding of network traffic and language for cybersecurity reasoning. Frontiers Artif. Intell. Ryozo Masukawa, Sanggeon Yun, SungHeon Evan Jeong, Wenjun Huang, Yang Ni, Ian Bryant, Nathaniel D. Bastian, Mohsen Imani
2025	A	`conf`	PV-VTT: A Privacy-Centric Dataset for Mission-Specific Anomaly Detection and Natural Language Interpretation. WACV Ryozo Masukwa, Sanggeon Yun, Yoshiki Yamaguchi, Mohsen Imani
2025	J	`jnl`	PacketCLIP: Multi-Modal Embedding of Network Traffic and Language for Cybersecurity Reasoning. CoRR Ryozo Masukawa, Sanggeon Yun, Sungheon Jeong, Wenjun Huang, Yang Ni, Ian Bryant, Nathaniel D. Bastian, Mohsen Imani
2025	J	`jnl`	PredicTor: A Global, Machine Learning Approach to Tor Path Selection. ACM Trans. Priv. Secur. Armon Barton, Timothy Walsh, Mohsen Imani, Jiang Ming, Matthew Wright
2025	J	`jnl`	Privacy-Preserving Federated Learning with Differentially Private Hyperdimensional Computing. Comput. Electr. Eng. Fardin Jalil Piran, Zhiling Chen, Mohsen Imani, Farhad Imani
2025	J	`jnl`	QUILL: An Algorithm-Architecture Co-Design for Cache-Local Deformable Attention. CoRR Hyunwoo Oh, Hanning Chen, Sanggeon Yun, Yang Ni, Wenjun Huang, Tamoghno Das, Suyeon Jang, Mohsen Imani
2025	J	`jnl`	Recover-to-Forget: Gradient Reconstruction from LoRA for Efficient LLM Unlearning. CoRR Yezi Liu, Hanning Chen, Wenjun Huang, Yang Ni, Mohsen Imani
2025	A	`conf`	Recoverable Anonymization for Pose Estimation: A Privacy-Enhancing Approach. WACV Wenjun Huang, Yang Ni, Arghavan Rezvani, Sungheon Jeong, Hanning Chen, Yezi Liu, Fei Wen, Mohsen Imani
2025	A	`conf`	Revisiting Reconfigurable Acceleration of Vision Transformer with Patch Pruning. ISLPED Hanning Chen, Yang Ni, Wenjun Huang, Hyunwoo Oh, Tamoghno Das, Fei Wen, Mohsen Imani
2025	—	`conf`	Robust Reasoning and Learning with Brain-Inspired Representations under Hardware-Induced Nonlinearities. ACM Great Lakes Symposium on VLSI William Youngwoo Chung, Hamza Errahmouni Barkam, Tamoghno Das, Mohsen Imani
2025	J	`jnl`	T-SAR: A Full-Stack Co-design for CPU-Only Ternary LLM Inference via In-Place SIMD ALU Reorganization. CoRR Hyunwoo Oh, KyungIn Nam, Rajat Bhattacharjya, Hanning Chen, Tamoghno Das, Sanggeon Yun, Suyeon Jang, Andrew Ding, Nikil D. Dutt, Mohsen Imani
2025	J	`jnl`	TAP-CAM: A Tunable Approximate Matching Engine based on Ferroelectric Content Addressable Memory. CoRR 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
2025	J	`jnl`	TorchTraceAP: A New Benchmark Dataset for Detecting Performance Anti-Patterns in Computer Vision Models. CoRR Hanning Chen, Keyu Man, Kevin Zhu, Chenguang Zhu, Haonan Li, Tongbo Luo, Xizhou Feng, Wei Sun, Sreen Tallam, Mohsen Imani, Partha Kanuparthy
2025	J	`jnl`	Tri-HD: Energy-Efficient On-Chip Learning With In-Memory Hyperdimensional Computing. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Weihong Xu, Saransh Gupta, Justin Morris, Xincheng Shen, Mohsen Imani, Baris Aksanli, Tajana Rosing
2025	J	`jnl`	TriageHD: A Hyper-Dimensional Learning-to-Rank Framework for Dynamic Micro-Segmentation in Zero-Trust Network Security. IEEE Access Ryozo Masukawa, Sanggeon Yun, Sungheon Jeong, Nathaniel D. Bastian, Mohsen Imani
2025	J	`jnl`	Uncertainty-Weighted Image-Event Multimodal Fusion for Video Anomaly Detection. CoRR Sungheon Jeong, Jihong Park, Mohsen Imani
2025	—	`conf`	Universal Adversarial Perturbations for Two-Stage Black-Box Object Detectors. IEEECONF Peng Wu, Amidu Kamara, Mohsen Imani, Nathaniel D. Bastian, Mahdi Imani
2025	A	`conf`	VLTP: Vision-Language Guided Token Pruning for Task-Oriented Segmentation. WACV Hanning Chen, Yang Ni, Wenjun Huang, Yezi Liu, Sungheon Jeong, Fei Wen, Nathaniel D. Bastian, Hugo Latapie, Mohsen Imani
2025	J	`jnl`	Vision language model for interpretable and fine-grained detection of safety compliance in diverse workplaces. Expert Syst. Appl. Zhiling Chen, Hanning Chen, Mohsen Imani, Ruimin Chen, Farhad Imani
2025	—	`conf`	White Admitted by Stanford, Black Got Rejections: Exploring Racial Stereotypes in Text-to-Image Generation from a College Admissions Lens. WWW (Companion Volume) Yezi Liu, Wenjun Huang, Yang Ni, Hanning Chen, Mohsen Imani
2025	A*	`conf`	iTaskSense: Task-Oriented Object Detection in Resource-Constrained Environments. DAC Sungheon Jeong, Hamza Errahmouni Barkam, Hyunwoo Oh, Hanning Chen, Tamoghno Das, Zhen Ye, Mohsen Imani
2024	A	`conf`	A FeFET-based Time-Domain Associative Memory for Multi-bit Similarity Computation. DATE 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
2024	J	`jnl`	A Plug-in Tiny AI Module for Intelligent and Selective Sensor Data Transmission. CoRR Wenjun Huang, Arghavan Rezvani, Hanning Chen, Yang Ni, Sanggeon Yun, Sungheon Jeong, Mohsen Imani
2024	J	`jnl`	A Remedy to Compute-in-Memory with Dynamic Random Access Memory: 1FeFET-1C Technology for Neuro-Symbolic AI. CoRR 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
2024	J	`jnl`	Advancing Hyperdimensional Computing Based on Trainable Encoding and Adaptive Training for Efficient and Accurate Learning. ACM Trans. Design Autom. Electr. Syst. Jiseung Kim, Hyunsei Lee, Mohsen Imani, Yeseong Kim
2024	A	`conf`	Bayesian-Informed Hyperdimensional Learning for Intelligent and Efficient Data Processing. ICCAD Hamza Errahmouni Barkam, Tamoghno Das, Prathyush Poduval, Sungheon Jeong, Calvin Yeung, Mostafa A. Solitan, Mohsen Imani
2024	A*	`conf`	Brain-Inspired Hyperdimensional Computing in the Wild: Lightweight Symbolic Learning for Sensorimotor Controls of Wheeled Robots. ICRA Hyukjun Kwon, Kangwon Kim, Junyoung Lee, Hyunsei Lee, Jiseung Kim, Jinhyung Kim, TaeHyung Kim, Yongnyeon Kim, Yang Ni, Mohsen Imani, Ilhong Suh, Yeseong Kim
2024	J	`jnl`	Conjunctive block coding for hyperdimensional graph representation. Intell. Syst. Appl. Ali Zakeri, Zhuowen Zou, Hanning Chen, Hugo Latapie, Mohsen Imani
2024	J	`jnl`	Continuous GNN-based Anomaly Detection on Edge using Efficient Adaptive Knowledge Graph Learning. CoRR Sanggeon Yun, Ryozo Masukawa, William Youngwoo Chung, Minhyoung Na, Nathaniel D. Bastian, Mohsen Imani
2024	J	`jnl`	Dynamic MAC Protocol for Wireless Spectrum Sharing via Hyperdimensional Self-Learning. IEEE Access Yang Ni, Danny Abraham, Mariam Issa, Alejandro Hernández-Cano, Mahdi Imani, Pietro Mercati, Mohsen Imani
2024	J	`jnl`	EcoSense: Energy-Efficient Intelligent Sensing for In-Shore Ship Detection through Edge-Cloud Collaboration. CoRR Wenjun Huang, Hanning Chen, Yang Ni, Arghavan Rezvani, Sanggeon Yun, Sungheon Jeong, Eric Pedley, Mohsen Imani
2024	—	`conf`	Efficient Exploration in Edge-Friendly Hyperdimensional Reinforcement Learning. ACM Great Lakes Symposium on VLSI Yang Ni, William Youngwoo Chung, Samuel Cho, Zhuowen Zou, Mohsen Imani
2024	C	`conf`	Efficient Forward-Only Training for Brain-Inspired Hyperdimensional Computing. ICCD Hyunsei Lee, Jiseung Kim, Seohyun Kim, Hyukjun Kwon, Mohsen Imani, Ilhong Suh, Yeseong Kim
2024	J	`jnl`	Efficient event-based robotic grasping perception using hyperdimensional computing. Internet Things Eman Hassan, Zhuowen Zou, Hanning Chen, Mohsen Imani, Yahya H. Zweiri, Hani Saleh, Baker Mohammad
2024	—	`conf`	Energy-Efficient Near-Sensor Event Detector Based on Multilevel Ga2O3 RRAM. ISVLSI Mehrdad Morsali, Sepehr Tabrizchi, Ravi Teja Velpula, Mano Bala Sankar Muthu, Hieu Pham Trung Nguyen, Mohsen Imani, Arman Roohi, Shaahin Angizi
2024	J	`jnl`	Expanding Event Modality Applications through a Robust CLIP-Based Encoder. CoRR Sungheon Jeong, Hanning Chen, Sanggeon Yun, Suhyeon Cho, Wenjun Huang, Xiangjian Liu, Mohsen Imani
2024	J	`jnl`	Explainable Hyperdimensional Computing for Balancing Privacy and Transparency in Additive Manufacturing Monitoring. CoRR Fardin Jalil Piran, Prathyush Poduval, Hamza Errahmouni Barkam, Mohsen Imani, Farhad Imani
2024	J	`jnl`	Exploiting Boosting in Hyperdimensional Computing for Enhanced Reliability in Healthcare. CoRR Sungheon Jeong, Hamza Errahmouni Barkam, Sanggeon Yun, Yeseong Kim, Shaahin Angizi, Mohsen Imani
2024	A	`conf`	FeReX: A Reconfigurable Design of Multi-Bit Ferroelectric Compute-in-Memory for Nearest Neighbor Search. DATE Zhicheng Xu, Che-Kai Liu, Chao Li, Ruibin Mao, Jianyi Yang, Thomas Kämpfe, Mohsen Imani, Can Li, Cheng Zhuo, Xunzhao Yin
2024	J	`jnl`	FeReX: A Reconfigurable Design of Multi-bit Ferroelectric Compute-in-Memory for Nearest Neighbor Search. CoRR Zhicheng Xu, Che-Kai Liu, Chao Li, Ruibin Mao, Jianyi Yang, Thomas Kämpfe, Mohsen Imani, Can Li, Cheng Zhuo, Xunzhao Yin
2024	J	`jnl`	Generalized Holographic Reduced Representations. CoRR Calvin Yeung, Zhuowen Zou, Mohsen Imani
2024	A*	`conf`	HDQMF: Holographic Feature Decomposition using Quantum Algorithms. CVPR Prathyush Poduval, Zhuowen Zou, Mohsen Imani
2024	J	`jnl`	HDRLPIM: A Simulator for Hyper-Dimensional Reinforcement Learning Based on Processing In-Memory. ACM J. Emerg. Technol. Comput. Syst. Mariam Rakka, Walaa Amer, Hanning Chen, Mohsen Imani, Fadi J. Kurdahi
2024	J	`jnl`	HDReason: Algorithm-Hardware Codesign for Hyperdimensional Knowledge Graph Reasoning. CoRR Hanning Chen, Yang Ni, Ali Zakeri, Zhuowen Zou, Sanggeon Yun, Fei Wen, Behnam Khaleghi, Narayan Srinivasa, Hugo Latapie, Mohsen Imani
2024	J	`jnl`	HEAL: Brain-inspired Hyperdimensional Efficient Active Learning. CoRR Yang Ni, Zhuowen Zou, Wenjun Huang, Hanning Chen, William Youngwoo Chung, Samuel Cho, Ranganath Krishnan, Pietro Mercati, Mohsen Imani
2024	Misc	`conf`	High-Performance Reconfigurable Accelerator for Knowledge Graph Reasoning. FCCM Hanning Chen, Ali Zakeri, Yang Ni, Fei Wen, Behnam Khaleghi, Hugo Latapie, Mohsen Imani
2024	J	`jnl`	HyperSense: Accelerating Hyper-Dimensional Computing for Intelligent Sensor Data Processing. CoRR Sanggeon Yun, Hanning Chen, Ryozo Masukawa, Hamza Errahmouni Barkam, Andrew Ding, Wenjun Huang, Arghavan Rezvani, Shaahin Angizi, Mohsen Imani
2024	J	`jnl`	HyperSense: Hyperdimensional Intelligent Sensing for Energy-Efficient Sparse Data Processing. Adv. Intell. Syst. Sanggeon Yun, Hanning Chen, Ryozo Masukawa, Hamza Errahmouni Barkam, Andrew Ding, Wenjun Huang, Arghavan Rezvani, Shaahin Angizi, Mohsen Imani
2024	J	`jnl`	Hyperdimensional Brain-Inspired Learning for Phoneme Recognition With Large-Scale Inferior Colliculus Neural Activities. IEEE Trans. Biomed. Eng. Yang Ni, Ye Yang, Hanning Chen, Xianhui Wang, Nicholas Lesica, Fan-Gang Zeng, Mohsen Imani
2024	J	`jnl`	Hyperdimensional Quantum Factorization. CoRR Prathyush Poduval, Zhuowen Zou, Alvaro Velasquez, Mohsen Imani
2024	J	`jnl`	Hyperdimensional computing with holographic and adaptive encoder. Frontiers Artif. Intell. Alejandro Hernández-Cano, Yang Ni, Zhuowen Zou, Ali Zakeri, Mohsen Imani
2024	J	`jnl`	In-Memory Acceleration of Hyperdimensional Genome Matching on Unreliable Emerging Technologies. IEEE Trans. Circuits Syst. I Regul. Pap. Hamza Errahmouni Barkam, Sanggeon Yun, Paul R. Genssler, Che-Kai Liu, Zhuowen Zou, Hussam Amrouch, Mohsen Imani
2024	A*	`conf`	Lightator: An Optical Near-Sensor Accelerator with Compressive Acquisition Enabling Versatile Image Processing. DAC Mehrdad Morsali, Brendan Reidy, Deniz Najafi, Sepehr Tabrizchi, Mohsen Imani, Mahdi Nikdast, Arman Roohi, Ramtin Zand, Shaahin Angizi
2024	J	`jnl`	Lightator: An Optical Near-Sensor Accelerator with Compressive Acquisition Enabling Versatile Image Processing. CoRR Mehrdad Morsali, Brendan Reidy, Deniz Najafi, Sepehr Tabrizchi, Mohsen Imani, Mahdi Nikdast, Arman Roohi, Ramtin Zand, Shaahin Angizi
2024	J	`jnl`	MissionGNN: Hierarchical Multimodal GNN-based Weakly Supervised Video Anomaly Recognition with Mission-Specific Knowledge Graph Generation. CoRR Sanggeon Yun, Ryozo Masukawa, Minhyoung Na, Mohsen Imani
2024	J	`jnl`	NetHD: Neurally Inspired Integration of Communication and Learning in Hyperspace. Adv. Intell. Syst. Prathyush Poduval, Yang Ni, Zhuowen Zou, Kai Ni, Mohsen Imani
2024	J	`jnl`	Neuro-Photonix: Enabling Near-Sensor Neuro-Symbolic AI Computing on Silicon Photonics Substrate. CoRR Deniz Najafi, Hamza Errahmouni Barkam, Mehrdad Morsali, Sungheon Jeong, Tamoghno Das, Arman Roohi, Mahdi Nikdast, Mohsen Imani, Shaahin Angizi
2024	A	`conf`	OISA: Architecting an Optical In-Sensor Accelerator for Efficient Visual Computing. DATE Mehrdad Morsali, Sepehr Tabrizchi, Deniz Najafi, Mohsen Imani, Mahdi Nikdast, Arman Roohi, Shaahin Angizi
2024	J	`jnl`	PV-VTT: A Privacy-Centric Dataset for Mission-Specific Anomaly Detection and Natural Language Interpretation. CoRR Ryozo Masukawa, Sanggeon Yun, Yoshiki Yamaguchi, Mohsen Imani
2024	J	`jnl`	Privacy-Preserving Federated Learning with Differentially Private Hyperdimensional Computing. CoRR Fardin Jalil Piran, Zhiling Chen, Mohsen Imani, Farhad Imani
2024	J	`jnl`	Promoting Fairness in Link Prediction with Graph Enhancement. CoRR Yezi Liu, Hanning Chen, Mohsen Imani
2024	J	`jnl`	Promoting fairness in link prediction with graph enhancement. Frontiers Big Data Yezi Liu, Hanning Chen, Mohsen Imani
2024	J	`jnl`	Recoverable Anonymization for Pose Estimation: A Privacy-Enhancing Approach. CoRR Wenjun Huang, Yang Ni, Arghavan Rezvani, Sungheon Jeong, Hanning Chen, Yezi Liu, Fei Wen, Mohsen Imani
2024	—	`conf`	Scalable and Interpretable Brain-Inspired Hyper-Dimensional Computing Intelligence with Hardware-Software Co-Design. CICC Hanning Chen, Yang Ni, Wenjun Huang, Mohsen Imani
2024	J	`jnl`	Self-Attention Based Semantic Decomposition in Vector Symbolic Architectures. CoRR Calvin Yeung, Prathyush Poduval, Mohsen Imani
2024	J	`jnl`	Self-trainable and adaptive sensor intelligence for selective data generation. Frontiers Artif. Intell. Arghavan Rezvani, Wenjun Huang, Hanning Chen, Yang Ni, Mohsen Imani
2024	J	`jnl`	Spatial-Aware Image Retrieval: A Hyperdimensional Computing Approach for Efficient Similarity Hashing. CoRR Sanggeon Yun, Ryozo Masukawa, Sungheon Jeong, Mohsen Imani
2024	A	`conf`	TAP-CAM: A Tunable Approximate Matching Engine based on Ferroelectric Content Addressable Memory. ICCAD 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
2024	—	`conf`	TaskCLIP: Extend Large Vision-Language Model for Task Oriented Object Detection. ECCV Workshops (20) Hanning Chen, Wenjun Huang, Yang Ni, Sanggeon Yun, Yezi Liu, Fei Wen, Alvaro Velasquez, Hugo Latapie, Mohsen Imani
2024	J	`jnl`	TaskCLIP: Extend Large Vision-Language Model for Task Oriented Object Detection. CoRR Hanning Chen, Wenjun Huang, Yang Ni, Sanggeon Yun, Fei Wen, Hugo Latapie, Mohsen Imani
2024	J	`jnl`	Tell Me What to Track: Infusing Robust Language Guidance for Enhanced Referring Multi-Object Tracking. CoRR Wenjun Huang, Yang Ni, Hanning Chen, Yirui He, Ian Bryant, Yezi Liu, Mohsen Imani
2024	A	`conf`	Towards Forward-Only Learning for Hyperdimensional Computing. DATE Hyunsei Lee, Hyukjun Kwon, Jiseung Kim, Seohyun Kim, Mohsen Imani, Yeseong Kim
2024	J	`jnl`	VLTP: Vision-Language Guided Token Pruning for Task-Oriented Segmentation. CoRR Hanning Chen, Yang Ni, Wenjun Huang, Yezi Liu, Sungheon Jeong, Fei Wen, Nathaniel D. Bastian, Hugo Latapie, Mohsen Imani
2024	J	`jnl`	Vision Language Model for Interpretable and Fine-grained Detection of Safety Compliance in Diverse Workplaces. CoRR Zhiling Chen, Hanning Chen, Mohsen Imani, Ruimin Chen, Farhad Imani
2023	A	`conf`	A Linear-Time, Optimization-Free, and Edge Device-Compatible Hypervector Encoding. DATE Sercan Aygun, M. Hassan Najafi, Mohsen Imani
2023	J	`jnl`	Agile Simulation of Stochastic Computing Image Processing With Contingency Tables. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Sercan Aygun, M. Hassan Najafi, Mohsen Imani, Ece Olcay Günes
2023	A*	`conf`	Algorithm-Hardware Co-Design for Efficient Brain-Inspired Hyperdimensional Learning on Edge (Extended Abstract). IJCAI Yang Ni, Yeseong Kim, Tajana Rosing, Mohsen Imani
2023	J	`jnl`	An Ultracompact Single-Ferroelectric Field-Effect Transistor Binary and Multibit Associative Search Engine. Adv. Intell. Syst. 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
2023	A*	`conf`	BP-NTT: Fast and Compact in-SRAM Number Theoretic Transform with Bit-Parallel Modular Multiplication. DAC Jingyao Zhang, Mohsen Imani, Elaheh Sadredini
2023	J	`jnl`	BP-NTT: Fast and Compact in-SRAM Number Theoretic Transform with Bit-Parallel Modular Multiplication. CoRR Jingyao Zhang, Mohsen Imani, Elaheh Sadredini
2023	—	`conf`	Beyond von Neumann Era: Brain-Inspired Hyperdimensional Computing to the Rescue. ASP-DAC Hussam Amrouch, Paul R. Genssler, Mohsen Imani, Mariam Issa, Xun Jiao, Wegdan Mohammad, Gloria Sepanta, Ruixuan Wang
2023	—	`conf`	Bit-Stream Processing with No Bit-Stream: Efficient Software Simulation of Stochastic Vision Machines. ACM Great Lakes Symposium on VLSI Sercan Aygun, M. Hassan Najafi, Mohsen Imani, Ece Olcay Günes
2023	A	`conf`	Brain-Inspired Trustworthy Hyperdimensional Computing with Efficient Uncertainty Quantification. ICCAD Yang Ni, Hanning Chen, Prathyush Poduval, Zhuowen Zou, Pietro Mercati, Mohsen Imani
2023	A	`conf`	Comprehensive Analysis of Hyperdimensional Computing Against Gradient Based Attacks. DATE Hamza Errahmouni Barkam, SungHeon Evan Jeong, Calvin Yeung, Zhuowen Zou, Xun Jiao, Mohsen Imani
2023	A*	`conf`	Comprehensive Integration of Hyperdimensional Computing with Deep Learning towards Neuro-Symbolic AI. DAC Hyunsei Lee, Jiseung Kim, Hanning Chen, Ariela Zeira, Narayan Srinivasa, Mohsen Imani, Yeseong Kim
2023	—	`conf`	Deep Mapper: A Multi-Channel Single-Cycle Near-Sensor DNN Accelerator. ICRC Mehrdad Morsali, Sepehr Tabrizchi, Maximilian Liehr, Nathaniel C. Cady, Mohsen Imani, Arman Roohi, Shaahin Angizi
2023	J	`jnl`	Design of Ultracompact Content Addressable Memory Exploiting 1T-1MTJ Cell. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Cheng Zhuo, Zeyu Yang, Kai Ni, Mohsen Imani, Yuxuan Luo, Shaodi Wang, Deming Zhang, Xunzhao Yin
2023	A*	`conf`	DistHD: A Learner-Aware Dynamic Encoding Method for Hyperdimensional Classification. DAC Junyao Wang, Sitao Huang, Mohsen Imani
2023	J	`jnl`	DistHD: A Learner-Aware Dynamic Encoding Method for Hyperdimensional Classification. CoRR Junyao Wang, Sitao Huang, Mohsen Imani
2023	A	`conf`	Efficient Hyperdimensional Learning with Trainable, Quantizable, and Holistic Data Representation. DATE Jiseung Kim, Hyunsei Lee, Mohsen Imani, Yeseong Kim
2023	—	`conf`	Efficient Off-Policy Reinforcement Learning via Brain-Inspired Computing. ACM Great Lakes Symposium on VLSI Yang Ni, Danny Abraham, Mariam Issa, Yeseong Kim, Pietro Mercati, Mohsen Imani
2023	J	`jnl`	FeFET-Based In-Memory Hyperdimensional Encoding Design. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Qingrong Huang, Zeyu Yang, Kai Ni, Mohsen Imani, Cheng Zhuo, Xunzhao Yin
2023	J	`jnl`	Ferroelectric Ternary Content Addressable Memories for Energy-Efficient Associative Search. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Xunzhao Yin, Yu Qian, Mohsen Imani, Kai Ni, Chao Li, Grace Li Zhang, Bing Li, Ulf Schlichtmann, Cheng Zhuo
2023	A	`conf`	HDGIM: Hyperdimensional Genome Sequence Matching on Unreliable highly scaled FeFET. DATE Hamza Errahmouni Barkam, Sanggeon Yun, Paul R. Genssler, Zhuowen Zou, Che-Kai Liu, Hussam Amrouch, Mohsen Imani
2023	—	`conf`	Hardware-Optimized Hyperdimensional Computing for Real-Time Learning. MWSCAS Hanning Chen, Hamza Errahmouni Barkam, Mohsen Imani
2023	A	`conf`	Hierarchical, Distributed and Brain-Inspired Learning for Internet of Things Systems. ICDCS Mohsen Imani, Yeseong Kim, Behnam Khaleghi, Justin Morris, Haleh Alimohamadi, Farhad Imani, Hugo Latapie
2023	B	`conf`	HyperGRAF: Hyperdimensional Graph-Based Reasoning Acceleration on FPGA. FPL Hanning Chen, Ali Zakeri, Fei Wen, Hamza Errahmouni Barkam, Mohsen Imani
2023	Misc	`conf`	Hyperdimensional Computing for Robust and Efficient Unsupervised Learning. ACSSC Sanggeon Yun, Hamza Errahmouni Barkam, Paul R. Genssler, Hugo Latapie, Hussam Amrouch, Mohsen Imani
2023	A	`conf`	Invited Paper: Hyperdimensional Computing for Resilient Edge Learning. ICCAD Hamza Errahmouni Barkam, SungHeon Evan Jeong, Sanggeon Yun, Calvin Yeung, Zhuowen Zou, Xun Jiao, Narayan Srinivasa, Mohsen Imani
2023	A*	`conf`	Late Breaking Results: Scalable and Efficient Hyperdimensional Computing for Network Intrusion Detection. DAC Junyao Wang, Hanning Chen, Mariam Issa, Sitao Huang, Mohsen Imani
2023	J	`jnl`	Late Breaking Results: Scalable and Efficient Hyperdimensional Computing for Network Intrusion Detection. CoRR Junyao Wang, Hanning Chen, Mariam Issa, Sitao Huang, Mohsen Imani
2023	J	`jnl`	Learning from Hypervectors: A Survey on Hypervector Encoding. CoRR Sercan Aygun, Mehran Shoushtari Moghadam, M. Hassan Najafi, Mohsen Imani
2023	A*	`conf`	Lightning Talk: Bridging Neuro-Dynamics and Cognition. DAC Mohsen Imani
2023	C	`conf`	Memory-Based Computing for Energy-Efficient AI: Grand Challenges. VLSI-SoC Foroozan Karimzadeh, Mohsen Imani, Bahar Asgari, Ningyuan Cao, Yingyan Lin, Yan Fang
2023	J	`jnl`	Modeling and Predicting Transistor Aging Under Workload Dependency Using Machine Learning. IEEE Trans. Circuits Syst. I Regul. Pap. Paul R. Genssler, Hamza Errahmouni Barkam, Karthik Pandaram, Mohsen Imani, Hussam Amrouch
2023	J	`jnl`	OISA: Architecting an Optical In-Sensor Accelerator for Efficient Visual Computing. CoRR Mehrdad Morsali, Sepehr Tabrizchi, Deniz Najafi, Mohsen Imani, Mahdi Nikdast, Arman Roohi, Shaahin Angizi
2023	—	`conf`	Reconvergent Path-aware Simulation of Bit-stream Processing. ACM Great Lakes Symposium on VLSI Sercan Aygun, M. Hassan Najafi, Mohsen Imani, Ece Olcay Günes
2023	A	`conf`	Reliable Hyperdimensional Reasoning on Unreliable Emerging Technologies. ICCAD Hamza Errahmouni Barkam, Sanggeon Yun, Hanning Chen, Paul Gensler, Albi Mema, Andrew Ding, George Michelogiannakis, Hussam Amrouch, Mohsen Imani
2023	A	`conf`	SEE-MCAM: Scalable Multi-Bit FeFET Content Addressable Memories for Energy Efficient Associative Search. ICCAD Shengxi Shou, Che-Kai Liu, Sanggeon Yun, Zishen Wan, Kai Ni, Mohsen Imani, X. Sharon Hu, Jianyi Yang, Cheng Zhuo, Xunzhao Yin
2023	J	`jnl`	SEE-MCAM: Scalable Multi-bit FeFET Content Addressable Memories for Energy Efficient Associative Search. CoRR Shengxi Shou, Che-Kai Liu, Sanggeon Yun, Zishen Wan, Kai Ni, Mohsen Imani, X. Sharon Hu, Jianyi Yang, Cheng Zhuo, Xunzhao Yin
2023	C	`conf`	Sparsity Controllable Hyperdimensional Computing for Genome Sequence Matching Acceleration. VLSI-SoC Hanning Chen, Yeseong Kim, Elaheh Sadredini, Saransh Gupta, Hugo Latapie, Mohsen Imani
2023	—	`conf`	Stochastic Computing for Reliable Memristive In-Memory Computation. ACM Great Lakes Symposium on VLSI Mohsen Riahi Alam, M. Hassan Najafi, Nima Taherinejad, Mohsen Imani, Lu Peng
2023	J	`jnl`	Towards Efficient Hyperdimensional Computing Using Photonics. CoRR Farbin Fayza, Cansu Demirkiran, Hanning Chen, Che-Kai Liu, Avi Mohan, Hamza Errahmouni Barkam, Sanggeon Yun, Mohsen Imani, David Zhang, Darius Bunandar, Ajay Joshi
2022	J	`jnl`	A Homogeneous Processing Fabric for Matrix-Vector Multiplication and Associative Search Using Ferroelectric Time-Domain Compute-in-Memory. CoRR Xunzhao Yin, Qingrong Huang, Franz Müller, Shan Deng, Alptekin Vardar, Sourav De, Zhouhang Jiang, Mohsen Imani, Cheng Zhuo, Thomas Kämpfe, Kai Ni
2022	A*	`conf`	A fast and low-cost comparison-free sorting engine with unary computing: late breaking results. DAC Amir Hossein Jalilvand, Seyedeh Newsha Estiri, Samaneh Naderi, M. Hassan Najafi, Mohsen Imani
2022	A*	`conf`	Adaptive neural recovery for highly robust brain-like representation. DAC Prathyush Poduval, Yang Ni, Yeseong Kim, Kai Ni, Raghavan Kumar, Rosario Cammarota, Mohsen Imani
2022	A	`conf`	Algorithm-Hardware Co-Design for Efficient Brain-Inspired Hyperdimensional Learning on Edge. DATE Yang Ni, Yeseong Kim, Tajana Rosing, Mohsen Imani
2022	J	`jnl`	An Ultra-Compact Single FeFET Binary and Multi-Bit Associative Search Engine. CoRR 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
2022	J	`jnl`	Bayesian Optimization for Expensive Smooth-Varying Functions. IEEE Intell. Syst. Mahdi Imani, Mohsen Imani, Seyede Fatemeh Ghoreishi
2022	A*	`conf`	BioHD: an efficient genome sequence search platform using HyperDimensional memorization. ISCA Zhuowen Zou, Hanning Chen, Prathyush Poduval, Yeseong Kim, Mahdi Imani, Elaheh Sadredini, Rosario Cammarota, Mohsen Imani
2022	Misc	`conf`	Brain-Inspired Hyperdimensional Computing for Ultra-Efficient Edge AI. CODES+ISSS Hussam Amrouch, Mohsen Imani, Xun Jiao, Yiannis Aloimonos, Cornelia Fermüller, Dehao Yuan, Dongning Ma, Hamza Errahmouni Barkam, Paul R. Genssler, Peter Sutor Jr.
2022	A	`conf`	COSIME: FeFET Based Associative Memory for In-Memory Cosine Similarity Search. ICCAD 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	J	`jnl`	COSIME: FeFET based Associative Memory for In-Memory Cosine Similarity Search. CoRR 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	J	`jnl`	COSMO: Computing with Stochastic Numbers in Memory. ACM J. Emerg. Technol. Comput. Syst. Saransh Gupta, Mohsen Imani, Joonseop Sim, Andrew Huang, Fan Wu, Jaeyoung Kang, Yeseong Kim, Tajana Simunic Rosing
2022	J	`jnl`	Computing-In-Memory Using Ferroelectrics: From Single- to Multi-Input Logic. IEEE Des. Test Qingrong Huang, Dayane Reis, Chao Li, Di Gao, Michael T. Niemier, Xiaobo Sharon Hu, Mohsen Imani, Xunzhao Yin, Cheng Zhuo
2022	A	`conf`	DARL: Distributed Reconfigurable Accelerator for Hyperdimensional Reinforcement Learning. ICCAD Hanning Chen, Mariam Issa, Yang Ni, Mohsen Imani
2022	Misc	`conf`	Density-Aware Parallel Hyperdimensional Genome Sequence Matching. FCCM Hanning Chen, Mohsen Imani
2022	J	`jnl`	Efficient Personalized Learning for Wearable Health Applications using HyperDimensional Computing. CoRR Sina Shahhosseini, Yang Ni, Hamidreza Alikhani, Emad Kasaeyan Naeini, Mohsen Imani, Nikil D. Dutt, Amir M. Rahmani
2022	A*	`conf`	Energy efficient data search design and optimization based on a compact ferroelectric FET content addressable memory. DAC Jiahao Cai, Mohsen Imani, Kai Ni, Grace Li Zhang, Bing Li, Ulf Schlichtmann, Cheng Zhuo, Xunzhao Yin
2022	—	`conf`	Flexible and Personalized Learning for Wearable Health Applications using HyperDimensional Computing. ACM Great Lakes Symposium on VLSI Sina Shahhosseini, Yang Ni, Emad Kasaeyan Naeini, Mohsen Imani, Amir M. Rahmani, Nikil D. Dutt
2022	C	`conf`	Full Stack Parallel Online Hyperdimensional Regression on FPGA. ICCD Hanning Chen, M. Hassan Najafi, Elaheh Sadredini, Mohsen Imani
2022	A*	`conf`	HDPG: hyperdimensional policy-based reinforcement learning for continuous control. DAC Yang Ni, Mariam Issa, Danny Abraham, Mahdi Imani, Xunzhao Yin, Mohsen Imani
2022	J	`jnl`	HyDREA: Utilizing Hyperdimensional Computing for a More Robust and Efficient Machine Learning System. ACM Trans. Embed. Comput. Syst. Justin Morris, Kazim Ergun, Behnam Khaleghi, Mohsen Imani, Baris Aksanli, Tajana Simunic
2022	C	`conf`	Hyperdimensional Hybrid Learning on End-Edge-Cloud Networks. ICCD Mariam Issa, Sina Shahhosseini, Yang Ni, Tianyi Hu, Danny Abraham, Amir M. Rahmani, Nikil D. Dutt, Mohsen Imani
2022	J	`jnl`	Locality-Based Encoder and Model Quantization for Efficient Hyper-Dimensional Computing. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Justin Morris, Roshan Fernando, Yilun Hao, Mohsen Imani, Baris Aksanli, Tajana Rosing
2022	J	`jnl`	Modeling and Predicting Transistor Aging under Workload Dependency using Machine Learning. CoRR Paul R. Genssler, Hamza Errahmouni Barkam, Karthik Pandaram, Mohsen Imani, Hussam Amrouch
2022	A*	`conf`	Neural computation for robust and holographic face detection. DAC Mohsen Imani, Ali Zakeri, Hanning Chen, Taehyun Kim, Prathyush Poduval, Hyunsei Lee, Yeseong Kim, Elaheh Sadredini, Farhad Imani
2022	A	`conf`	Neurally-Inspired Hyperdimensional Classification for Efficient and Robust Biosignal Processing. ICCAD Yang Ni, Nicholas A. Lesica, Fan-Gang Zeng, Mohsen Imani
2022	A	`conf`	Online Performance and Power Prediction for Edge TPU via Comprehensive Characterization. DATE Yang Ni, Yeseong Kim, Tajana Rosing, Mohsen Imani
2022	C	`conf`	Optimal Bayesian Biomarker Selection for Gene Regulatory Networks under Regulatory Model Uncertainty. ACC Mahdi Imani, Mohsen Imani, Seyede Fatemeh Ghoreishi
2022	J	`jnl`	PAM: A Piecewise-Linearly-Approximated Floating-Point Multiplier With Unbiasedness and Configurability. IEEE Trans. Computers Chuangtao Chen, Weikang Qian, Mohsen Imani, Xunzhao Yin, Cheng Zhuo
2022	J	`jnl`	QHD: A brain-inspired hyperdimensional reinforcement learning algorithm. CoRR Yang Ni, Danny Abraham, Mariam Issa, Yeseong Kim, Pietro Mercati, Mohsen Imani
2022	A*	`conf`	QuiltNet: efficient deep learning inference on multi-chip accelerators using model partitioning. DAC Jongho Park, Hyukjun Kwon, Seowoo Kim, Junyoung Lee, Minho Ha, Euicheol Lim, Mohsen Imani, Yeseong Kim
2022	A	`conf`	ScaleHD: Robust Brain-Inspired Hyperdimensional Computing via Adapative Scaling. ICCAD Sizhe Zhang, Mohsen Imani, Xun Jiao
2022	J	`jnl`	Stochastic Computing in Beyond Von-Neumann Era: Processing Bit-Streams in Memristive Memory. IEEE Trans. Circuits Syst. II Express Briefs Mohsen Riahi Alam, M. Hassan Najafi, Nima Taherinejad, Mohsen Imani, Raju Gottumukkala
2022	J	`jnl`	Store-n-Learn: Classification and Clustering with Hyperdimensional Computing across Flash Hierarchy. ACM Trans. Embed. Comput. Syst. Saransh Gupta, Behnam Khaleghi, Sahand Salamat, Justin Morris, Ranganathan Ramkumar, Jeffrey Yu, Aniket Tiwari, Jaeyoung Kang, Mohsen Imani, Baris Aksanli, Tajana Simunic Rosing
2021	A	`conf`	A Framework for Efficient and Binary Clustering in High-Dimensional Space. DATE Alejandro Hernández-Cano, Yeseong Kim, Mohsen Imani
2021	A	`conf`	A Low-Cost FSM-based Bit-Stream Generator for Low-Discrepancy Stochastic Computing. DATE Sina Asadi, M. Hassan Najafi, Mohsen Imani
2021	C	`conf`	AdaptBit-HD: Adaptive Model Bitwidth for Hyperdimensional Computing. ICCD Justin Morris, Si Thu Kaung Set, Gadi Rosen, Mohsen Imani, Baris Aksanli, Tajana Rosing
2021	A	`conf`	CORLD: In-Stream Correlation Manipulation for Low-Discrepancy Stochastic Computing. ICCAD Sina Asadi, M. Hassan Najafi, Mohsen Imani
2021	A*	`conf`	CascadeHD: Efficient Many-Class Learning Framework Using Hyperdimensional Computing. DAC Yeseong Kim, Jiseung Kim, Mohsen Imani
2021	A*	`conf`	Cognitive Correlative Encoding for Genome Sequence Matching in Hyperdimensional System. DAC Prathyush Poduval, Zhuowen Zou, Xunzhao Yin, Elaheh Sadredini, Mohsen Imani
2021	—	`conf`	Cross-layer Design for Computing-in-Memory: From Devices, Circuits, to Architectures and Applications. ASP-DAC Hussam Amrouch, Xiaobo Sharon Hu, Mohsen Imani, Ann Franchesca Laguna, Michael T. Niemier, Simon Thomann, Xunzhao Yin, Cheng Zhuo
2021	—	`conf`	DP-Sim: A Full-stack Simulation Infrastructure for Digital Processing In-Memory Architectures. ASP-DAC Minxuan Zhou, Mohsen Imani, Yeseong Kim, Saransh Gupta, Tajana Rosing
2021	B	`conf`	Efficient Brain-Inspired Hyperdimensional Learning with Spatiotemporal Structured Data. MASCOTS Jiseung Kim, Hyunsei Lee, Mohsen Imani, Yeseong Kim
2021	A	`conf`	Energy-Aware Designs of Ferroelectric Ternary Content Addressable Memory. DATE Yu Qian, Zhenhao Fan, Haoran Wang, Chao Li, Mohsen Imani, Kai Ni, Grace Li Zhang, Bing Li, Ulf Schlichtmann, Cheng Zhuo, Xunzhao Yin
2021	A	`conf`	FPGA Acceleration of Protein Back-Translation and Alignment. DATE Sahand Salamat, Jaeyoung Kang, Yeseong Kim, Mohsen Imani, Niema Moshiri, Tajana Rosing
2021	A	`conf`	HyDREA: Towards More Robust and Efficient Machine Learning Systems with Hyperdimensional Computing. DATE Justin Morris, Kazim Ergun, Behnam Khaleghi, Mohsen Imani, Baris Aksanli, Tajana Rosing
2021	A	`conf`	HyGraph: Accelerating Graph Processing with Hybrid Memory-centric Computing. DATE Minxuan Zhou, Muzhou Li, Mohsen Imani, Tajana Rosing
2021	—	`conf`	HyperRec: Efficient Recommender Systems with Hyperdimensional Computing. ASP-DAC Yunhui Guo, Mohsen Imani, Jaeyoung Kang, Sahand Salamat, Justin Morris, Baris Aksanli, Yeseong Kim, Tajana Rosing
2021	—	`conf`	MACcelerator: Approximate Arithmetic Unit for Computational Acceleration. ISQED Alice Sokolova, Mohsen Imani, Andrew Huang, Ricardo Garcia, Justin Morris, Tajana Rosing, Baris Aksanli
2021	A	`conf`	MIMHD: Accurate and Efficient Hyperdimensional Inference Using Multi-Bit In-Memory Computing. ISLPED Arman Kazemi, Mohammad Mehdi Sharifi, Zhuowen Zou, Michael T. Niemier, X. Sharon Hu, Mohsen Imani
2021	J	`jnl`	MIMHD: Accurate and Efficient Hyperdimensional Inference Using Multi-Bit In-Memory Computing. CoRR Arman Kazemi, Mohammad Mehdi Sharifi, Zhuowen Zou, Michael T. Niemier, X. Sharon Hu, Mohsen Imani
2021	A	`conf`	ManiHD: Efficient Hyper-Dimensional Learning Using Manifold Trainable Encoder. DATE Zhuowen Zou, Yeseong Kim, M. Hassan Najafi, Mohsen Imani
2021	A	`conf`	Massively Parallel Big Data Classification on a Programmable Processing In-Memory Architecture. ICCAD Yeseong Kim, Mohsen Imani, Saransh Gupta, Minxuan Zhou, Tajana Simunic Rosing
2021	J	`jnl`	Mockingbird: Defending Against Deep-Learning-Based Website Fingerprinting Attacks With Adversarial Traces. IEEE Trans. Inf. Forensics Secur. Mohammad Saidur Rahman, Mohsen Imani, Nate Mathews, Matthew Wright
2021	A	`conf`	OnlineHD: Robust, Efficient, and Single-Pass Online Learning Using Hyperdimensional System. DATE Alejandro Hernández-Cane, Namiko Matsumoto, Eric Ping, Mohsen Imani
2021	B	`conf`	PIM-DL: Boosting DNN Inference on Digital Processing In-Memory Architectures via Data Layout Optimizations. PACT Minxuan Zhou, Guoyang Chen, Mohsen Imani, Saransh Gupta, Weifeng Zhang, Tajana Rosing
2021	A*	`conf`	PRID: Model Inversion Privacy Attacks in Hyperdimensional Learning Systems. DAC Alejandro Hernández-Cano, Rosario Cammarota, Mohsen Imani
2021	—	`conf`	Real-Time and Robust Hyperdimensional Classification. ACM Great Lakes Symposium on VLSI Alejandro Hernández-Cano, Cheng Zhuo, Xunzhao Yin, Mohsen Imani
2021	A*	`conf`	RegHD: Robust and Efficient Regression in Hyper-Dimensional Learning System. DAC Alejandro Hernández-Cano, Cheng Zhuo, Xunzhao Yin, Mohsen Imani
2021	A*	`conf`	Revisiting HyperDimensional Learning for FPGA and Low-Power Architectures. HPCA Mohsen Imani, Zhuowen Zou, Samuel Bosch, Sanjay Anantha Rao, Sahand Salamat, Venkatesh Kumar, Yeseong Kim, Tajana Rosing
2021	—	`conf`	Robust In-Memory Computing with Hyperdimensional Stochastic Representation. NANOARCH Prathyush Poduval, Mariam Issa, Farhad Imani, Cheng Zhuo, Xunzhao Yin, M. Hassan Najafi, Mohsen Imani
2021	A	`conf`	Scalable edge-based hyperdimensional learning system with brain-like neural adaptation. SC Zhuowen Zou, Yeseong Kim, Farhad Imani, Haleh Alimohamadi, Rosario Cammarota, Mohsen Imani
2021	J	`jnl`	Spiking Hyperdimensional Network: Neuromorphic Models Integrated with Memory-Inspired Framework. CoRR Zhuowen Zou, Haleh Alimohamadi, Farhad Imani, Yeseong Kim, Mohsen Imani
2021	A*	`conf`	StocHD: Stochastic Hyperdimensional System for Efficient and Robust Learning from Raw Data. DAC Prathyush Poduval, Zhuowen Zou, M. Hassan Najafi, Houman Homayoun, Mohsen Imani
2021	A*	`conf`	Sunder: Enabling Low-Overhead and Scalable Near-Data Pattern Matching Acceleration. MICRO Elaheh Sadredini, Reza Rahimi, Mohsen Imani, Kevin Skadron
2021	A	`conf`	TruLook: A Framework for Configurable GPU Approximation. DATE Ricardo Garcia, Fatemeh Asgarinejad, Behnam Khaleghi, Tajana Rosing, Mohsen Imani
2020	J	`jnl`	Accelerating Hyperdimensional Computing on FPGAs by Exploiting Computational Reuse. IEEE Trans. Computers Sahand Salamat, Mohsen Imani, Tajana Rosing
2020	A*	`conf`	CryptoPIM: In-memory Acceleration for Lattice-based Cryptographic Hardware. DAC Hamid Nejatollahi, Saransh Gupta, Mohsen Imani, Tajana Simunic Rosing, Rosario Cammarota, Nikil D. Dutt
2020	J	`jnl`	CryptoPIM: In-memory Acceleration for Lattice-based Cryptographic Hardware. IACR Cryptol. ePrint Arch. Hamid Nejatollahi, Saransh Gupta, Mohsen Imani, Tajana Simunic Rosing, Rosario Cammarota, Nikil D. Dutt
2020	A*	`conf`	DUAL: Acceleration of Clustering Algorithms using Digital-based Processing In-Memory. MICRO Mohsen Imani, Saikishan Pampana, Saransh Gupta, Minxuan Zhou, Yeseong Kim, Tajana Rosing
2020	J	`jnl`	Data Reuse for Accelerated Approximate Warps. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Daniel Peroni, Mohsen Imani, Hamid Nejatollahi, Nikil D. Dutt, Tajana Rosing
2020	—	`conf`	Deep Learning Acceleration using Digital-Based Processing In-Memory. SoCC Mohsen Imani, Saransh Gupta, Yeseong Kim, Tajana Rosing
2020	A*	`conf`	Deep Learning Acceleration with Neuron-to-Memory Transformation. HPCA Mohsen Imani, Mohammad Samragh Razlighi, Yeseong Kim, Saransh Gupta, Farinaz Koushanfar, Tajana Rosing
2020	J	`jnl`	Efficient Associative Search in Brain-Inspired Hyperdimensional Computing. IEEE Des. Test Mohsen Imani, Justin Morris, Helen Shu, Shou Li, Tajana Rosing
2020	A	`conf`	GenieHD: Efficient DNA Pattern Matching Accelerator Using Hyperdimensional Computing. DATE Yeseong Kim, Mohsen Imani, Niema Moshiri, Tajana Rosing
2020	A	`conf`	Implementing binary neural networks in memory with approximate accumulation. ISLPED Saransh Gupta, Mohsen Imani, Hengyu Zhao, Fan Wu, Jishen Zhao, Tajana Simunic Rosing
2020	—	`—`	Machine Learning in IoT Systems: From Deep Learning to Hyperdimensional Computing. Mohsen Imani
2020	C	`conf`	Multi-label HD Classification in 3D Flash. VLSI-SOC Justin Morris, Yilun Hao, Saransh Gupta, Ranganathan Ramkumar, Jeffrey Yu, Mohsen Imani, Baris Aksanli, Tajana Rosing
2020	A	`conf`	Optimally Approximated and Unbiased Floating-Point Multiplier with Runtime Configurability. ICCAD Chuangtao Chen, Sen Yang, Weikang Qian, Mohsen Imani, Xunzhao Yin, Cheng Zhuo
2020	A*	`conf`	Prive-HD: Privacy-Preserved Hyperdimensional Computing. DAC Behnam Khaleghi, Mohsen Imani, Tajana Rosing
2020	J	`jnl`	Prive-HD: Privacy-Preserved Hyperdimensional Computing. CoRR Behnam Khaleghi, Mohsen Imani, Tajana Rosing
2020	J	`jnl`	QuantHD: A Quantization Framework for Hyperdimensional Computing. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Mohsen Imani, Samuel Bosch, Sohum Datta, Sharadhi Ramakrishna, Sahand Salamat, Jan M. Rabaey, Tajana Rosing
2020	J	`jnl`	Runtime Efficiency-Accuracy Tradeoff Using Configurable Floating Point Multiplier. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Daniel Peroni, Mohsen Imani, Tajana Simunic Rosing
2020	A	`conf`	SCRIMP: A General Stochastic Computing Architecture using ReRAM in-Memory Processing. DATE Saransh Gupta, Mohsen Imani, Joonseop Sim, Andrew Huang, Fan Wu, M. Hassan Najafi, Tajana Rosing
2020	J	`jnl`	SearcHD: A Memory-Centric Hyperdimensional Computing With Stochastic Training. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Mohsen Imani, Xunzhao Yin, John Messerly, Saransh Gupta, Michael T. Niemier, Xiaobo Sharon Hu, Tajana Rosing
2020	A	`conf`	THRIFTY: Training with Hyperdimensional Computing across Flash Hierarchy. ICCAD Saransh Gupta, Justin Morris, Mohsen Imani, Ranganathan Ramkumar, Jeffrey Yu, Aniket Tiwari, Baris Aksanli, Tajana Simunic Rosing
2020	J	`jnl`	Trustworthy AI Inference Systems: An Industry Research View. CoRR 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
2019	A	`conf`	A Binary Learning Framework for Hyperdimensional Computing. DATE Mohsen Imani, John Messerly, Fan Wu, Wang Pi, Tajana Rosing
2019	B	`conf`	A Framework for Collaborative Learning in Secure High-Dimensional Space. CLOUD Mohsen Imani, Yeseong Kim, M. Sadegh Riazi, John Messerly, Patric Liu, Farinaz Koushanfar, Tajana Rosing
2019	—	`conf`	ALook: adaptive lookup for GPGPU acceleration. ASP-DAC Daniel Peroni, Mohsen Imani, Tajana Rosing
2019	A*	`conf`	ARGA: Approximate Reuse for GPGPU Acceleration. DAC Daniel Peroni, Mohsen Imani, Hamid Nejatollahi, Nikil D. Dutt, Tajana Rosing
2019	—	`conf`	AdaptHD: Adaptive Efficient Training for Brain-Inspired Hyperdimensional Computing. BioCAS Mohsen Imani, Justin Morris, Samuel Bosch, Helen Shu, Giovanni De Micheli, Tajana Rosing
2019	J	`jnl`	Adv-DWF: Defending Against Deep-Learning-Based Website Fingerprinting Attacks with Adversarial Traces. CoRR Mohsen Imani, Mohammad Saidur Rahman, Nate Mathews, Aneesh Yogesh Joshi, Matthew Wright
2019	A*	`conf`	ApproxLP: Approximate Multiplication with Linearization and Iterative Error Control. DAC Mohsen Imani, Alice Sokolova, Ricardo Garcia, Andrew Huang, Fan Wu, Baris Aksanli, Tajana Rosing
2019	—	`ch.`	Approximate CPU and GPU Design Using Emerging Memory Technologies. Approximate Circuits Mohsen Imani, Tajana Simunic Rosing
2019	A*	`conf`	BRIC: Locality-based Encoding for Energy-Efficient Brain-Inspired Hyperdimensional Computing. DAC Mohsen Imani, Justin Morris, John Messerly, Helen Shu, Yaobang Deng, Tajana Rosing
2019	A	`conf`	CADE: Configurable Approximate Divider for Energy Efficiency. DATE Mohsen Imani, Ricardo Garcia, Andrew Huang, Tajana Rosing
2019	A	`conf`	CompHD: Efficient Hyperdimensional Computing Using Model Compression. ISLPED Justin Morris, Mohsen Imani, Samuel Bosch, Anthony Thomas, Helen Shu, Tajana Rosing
2019	—	`conf`	Digital-based processing in-memory: a highly-parallel accelerator for data intensive applications. MEMSYS Mohsen Imani, Saransh Gupta, Tajana Rosing
2019	—	`conf`	DigitalPIM: Digital-based Processing In-Memory for Big Data Acceleration. ACM Great Lakes Symposium on VLSI Mohsen Imani, Saransh Gupta, Yeseong Kim, Minxuan Zhou, Tajana Rosing
2019	—	`conf`	Exploring Processing In-Memory for Different Technologies. ACM Great Lakes Symposium on VLSI Saransh Gupta, Mohsen Imani, Tajana Rosing
2019	A	`conf`	F5-HD: Fast Flexible FPGA-based Framework for Refreshing Hyperdimensional Computing. FPGA Sahand Salamat, Mohsen Imani, Behnam Khaleghi, Tajana Rosing
2019	—	`conf`	FACH: FPGA-based acceleration of hyperdimensional computing by reducing computational complexity. ASP-DAC Mohsen Imani, Sahand Salamat, Saransh Gupta, Jiani Huang, Tajana Rosing
2019	C	`conf`	FPGA Energy Efficiency by Leveraging Thermal Margin. ICCD Behnam Khaleghi, Sahand Salamat, Mohsen Imani, Tajana Rosing
2019	J	`jnl`	FPGA Energy Efficiency by Leveraging Thermal Margin. CoRR Behnam Khaleghi, Sahand Salamat, Mohsen Imani, Tajana Rosing
2019	A*	`conf`	FloatPIM: in-memory acceleration of deep neural network training with high precision. ISCA Mohsen Imani, Saransh Gupta, Yeseong Kim, Tajana Rosing
2019	—	`conf`	GRAM: graph processing in a ReRAM-based computational memory. ASP-DAC Minxuan Zhou, Mohsen Imani, Saransh Gupta, Yeseong Kim, Tajana Rosing
2019	A	`conf`	HDCluster: An Accurate Clustering Using Brain-Inspired High-Dimensional Computing. DATE Mohsen Imani, Yeseong Kim, Thomas Worley, Saransh Gupta, Tajana Rosing
2019	J	`jnl`	Hardware-Software Co-design to Accelerate Neural Network Applications. ACM J. Emerg. Technol. Comput. Syst. Mohsen Imani, Ricardo Garcia, Saransh Gupta, Tajana Rosing
2019	J	`jnl`	Image Recognition Accelerator Design Using In-Memory Processing. IEEE Micro Yeseong Kim, Mohsen Imani, Tajana Simunic Rosing
2019	J	`jnl`	Modified relay selection and circuit selection for faster Tor. IET Commun. Mohsen Imani, Mehrdad Amirabadi, Matthew Wright
2019	J	`jnl`	NNPIM: A Processing In-Memory Architecture for Neural Network Acceleration. IEEE Trans. Computers Saransh Gupta, Mohsen Imani, Harveen Kaur, Tajana Simunic Rosing
2019	J	`jnl`	NVQuery: Efficient Query Processing in Nonvolatile Memory. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Mohsen Imani, Saransh Gupta, Sahil Sharma, Tajana Simunic Rosing
2019	J	`jnl`	QubitHD: A Stochastic Acceleration Method for HD Computing-Based Machine Learning. CoRR Samuel Bosch, Alexander Sanchez de la Cerda, Mohsen Imani, Tajana Simunic Rosing, Giovanni De Micheli
2019	A	`conf`	RAPID: A ReRAM Processing in-Memory Architecture for DNA Sequence Alignment. ISLPED Saransh Gupta, Mohsen Imani, Behnam Khaleghi, Venkatesh Kumar, Tajana Rosing
2019	J	`jnl`	Resistive CAM Acceleration for Tunable Approximate Computing. IEEE Trans. Emerg. Top. Comput. Mohsen Imani, Daniel Peroni, Abbas Rahimi, Tajana Simunic Rosing
2019	A	`conf`	SemiHD: Semi-Supervised Learning Using Hyperdimensional Computing. ICCAD Mohsen Imani, Samuel Bosch, Mojan Javaheripi, Bita Darvish Rouhani, Xinyu Wu, Farinaz Koushanfar, Tajana Rosing
2019	Misc	`conf`	SparseHD: Algorithm-Hardware Co-optimization for Efficient High-Dimensional Computing. FCCM Mohsen Imani, Sahand Salamat, Behnam Khaleghi, Mohammad Samragh, Farinaz Koushanfar, Tajana Rosing
2019	A*	`conf`	Thermal-Aware Design and Management for Search-based In-Memory Acceleration. DAC Minxuan Zhou, Mohsen Imani, Saransh Gupta, Tajana Rosing
2019	—	`conf`	UPIM: Unipolar Switching Logic for High Density Processing-in-Memory Applications. ACM Great Lakes Symposium on VLSI Joonseop Sim, Saransh Gupta, Mohsen Imani, Yeseong Kim, Tajana Rosing
2019	A	`conf`	Workload-Aware Opportunistic Energy Efficiency in Multi-FPGA Platforms. ICCAD Sahand Salamat, Behnam Khaleghi, Mohsen Imani, Tajana Rosing
2019	J	`jnl`	Workload-Aware Opportunistic Energy Efficiency in Multi-FPGA Platforms. CoRR Sahand Salamat, Behnam Khaleghi, Mohsen Imani, Tajana Rosing
2018	A*	`conf`	Adversarial Traces for Website Fingerprinting Defense. CCS Mohsen Imani, Mohammad Saidur Rahman, Matthew Wright
2018	J	`jnl`	Approximate Computing Using Multiple-Access Single-Charge Associative Memory. IEEE Trans. Emerg. Top. Comput. Mohsen Imani, Shruti Patil, Tajana Simunic Rosing
2018	—	`conf`	CANNA: Neural network acceleration using configurable approximation on GPGPU. ASP-DAC Mohsen Imani, Max Masich, Daniel Peroni, Pushen Wang, Tajana Rosing
2018	A*	`conf`	Deep Fingerprinting: Undermining Website Fingerprinting Defenses with Deep Learning. CCS Payap Sirinam, Mohsen Imani, Marc Juarez, Matthew Wright
2018	J	`jnl`	Deep Fingerprinting: Undermining Website Fingerprinting Defenses with Deep Learning. CoRR Payap Sirinam, Mohsen Imani, Marc Juarez, Matthew Wright
2018	—	`conf`	Deep neural network acceleration framework under hardware uncertainty. ISQED Mohsen Imani, Pushen Wang, Tajana Rosing
2018	—	`conf`	Efficient human activity recognition using hyperdimensional computing. IOT Yeseong Kim, Mohsen Imani, Tajana Simunic Rosing
2018	A	`conf`	FELIX: fast and energy-efficient logic in memory. ICCAD Saransh Gupta, Mohsen Imani, Tajana Rosing
2018	A	`conf`	GAS: A Heterogeneous Memory Architecture for Graph Processing. ISLPED Minxuan Zhou, Mohsen Imani, Saransh Gupta, Tajana Rosing
2018	A	`conf`	GenPIM: Generalized processing in-memory to accelerate data intensive applications. DATE Mohsen Imani, Saransh Gupta, Tajana Rosing
2018	J	`jnl`	Guard Sets in Tor using AS Relationships. Proc. Priv. Enhancing Technol. Mohsen Imani, Armon Barton, Matthew Wright
2018	—	`conf`	HDNA: Energy-efficient DNA sequencing using hyperdimensional computing. BHI Mohsen Imani, Tarek Nassar, Abbas Rahimi, Tajana Rosing
2018	A*	`conf`	Hierarchical hyperdimensional computing for energy efficient classification. DAC Mohsen Imani, Chenyu Huang, Deqian Kong, Tajana Rosing
2018	—	`conf`	LUPIS: Latch-up based ultra efficient processing in-memory system. ISQED Joonseop Sim, Mohsen Imani, Woojin Choi, Yeseong Kim, Tajana Rosing
2018	J	`jnl`	Multi-Stage Tunable Approximate Search in Resistive Associative Memory. IEEE Trans. Multi Scale Comput. Syst. Mohsen Imani, Abbas Rahimi, Pietro Mercati, Tajana Simunic Rosing
2018	J	`jnl`	Nvalt: Nonvolatile Approximate Lookup Table for GPU Acceleration. IEEE Embed. Syst. Lett. Mohsen Imani, Daniel Peroni, Tajana Rosing
2018	—	`conf`	Program acceleration using nearest distance associative search. ISQED Mohsen Imani, Daniel Peroni, Tajana Rosing
2018	J	`jnl`	RAPIDNN: In-Memory Deep Neural Network Acceleration Framework. CoRR Mohsen Imani, Mohammad Samragh, Yeseong Kim, Saransh Gupta, Farinaz Koushanfar, Tajana Rosing
2018	A	`conf`	RMAC: Runtime Configurable Floating Point Multiplier for Approximate Computing. ISLPED Mohsen Imani, Ricardo Garcia, Saransh Gupta, Tajana Rosing
2018	—	`conf`	RNSnet: In-Memory Neural Network Acceleration Using Residue Number System. ICRC Sahand Salamat, Mohsen Imani, Saransh Gupta, Tajana Rosing
2018	A*	`conf`	Towards Predicting Efficient and Anonymous Tor Circuits. USENIX Security Symposium Armon Barton, Matthew Wright, Jiang Ming, Mohsen Imani
2018	J	`jnl`	Towards Predicting Efficient and Anonymous Tor Circuits. CoRR Armon Barton, Mohsen Imani, Jiang Ming, Matthew Wright
2017	—	`conf`	CAP: Configurable resistive associative processor for near-data computing. ISQED Mohsen Imani, Tajana Rosing
2017	A*	`conf`	CFPU: Configurable Floating Point Multiplier for Energy-Efficient Computing. DAC Mohsen Imani, Daniel Peroni, Tajana Rosing
2017	A	`conf`	Efficient neural network acceleration on GPGPU using content addressable memory. DATE Mohsen Imani, Daniel Peroni, Yeseong Kim, Abbas Rahimi, Tajana Rosing
2017	A	`conf`	Efficient query processing in crossbar memory. ISLPED Mohsen Imani, Saransh Gupta, Atl Arredondo, Tajana Rosing
2017	C	`conf`	Enabling efficient system design using vertical nanowire transistor current mode logic. VLSI-SoC Joonseop Sim, Mohsen Imani, Yeseong Kim, Tajana Rosing
2017	A*	`conf`	Exploring Hyperdimensional Associative Memory. HPCA Mohsen Imani, Abbas Rahimi, Deqian Kong, Tajana Rosing, Jan M. Rabaey
2017	J	`jnl`	Forming Guard Sets using AS Relationships. CoRR Mohsen Imani, Armon Barton, Matthew Wright
2017	A	`conf`	LookNN: Neural network with no multiplication. DATE Mohammad Samragh Razlighi, Mohsen Imani, Farinaz Koushanfar, Tajana Rosing
2017	J	`jnl`	Low-Power Sparse Hyperdimensional Encoder for Language Recognition. IEEE Des. Test Mohsen Imani, John Hwang, Tajana Rosing, Abbas Rahimi, Jan M. Rabaey
2017	—	`conf`	MPIM: Multi-purpose in-memory processing using configurable resistive memory. ASP-DAC Mohsen Imani, Yeseong Kim, Tajana Rosing
2017	—	`conf`	NNgine: Ultra-Efficient Nearest Neighbor Accelerator Based on In-Memory Computing. ICRC Mohsen Imani, Yeseong Kim, Tajana Rosing
2017	A	`conf`	ORCHARD: Visual object recognition accelerator based on approximate in-memory processing. ICCAD Yeseong Kim, Mohsen Imani, Tajana Rosing
2017	J	`jnl`	The Evaluation of Circuit Selection Methods on Tor. CoRR Mohsen Imani, Mehrdad Amirabadi, Matthew Wright
2017	A*	`conf`	Ultra-Efficient Processing In-Memory for Data Intensive Applications. DAC Mohsen Imani, Saransh Gupta, Tajana Rosing
2017	—	`conf`	VoiceHD: Hyperdimensional Computing for Efficient Speech Recognition. ICRC Mohsen Imani, Deqian Kong, Abbas Rahimi, Tajana Rosing
2016	—	`conf`	A low-power hybrid magnetic cache architecture exploiting narrow-width values. NVMSA Mohsen Imani, Abbas Rahimi, Yeseong Kim, Tajana Rosing
2016	A	`conf`	ACAM: Approximate Computing Based on Adaptive Associative Memory with Online Learning. ISLPED Mohsen Imani, Yeseong Kim, Abbas Rahimi, Tajana Rosing
2016	—	`conf`	DCC: Double Capacity Cache Architecture for Narrow-Width Values. ACM Great Lakes Symposium on VLSI Mohsen Imani, Shruti Patil, Tajana Simunic Rosing
2016	—	`conf`	Low power data-aware STT-RAM based hybrid cache architecture. ISQED Mohsen Imani, Shruti Patil, Tajana Simunic Rosing
2016	A	`conf`	MASC: Ultra-low energy multiple-access single-charge TCAM for approximate computing. DATE Mohsen Imani, Shruti Patil, Tajana Simunic Rosing
2016	J	`jnl`	Modified Relay Selection and Circuit Selection for Faster Tor. CoRR Mohsen Imani, Mehrdad Amirabadi, Matthew Wright
2016	—	`conf`	Processing Acceleration with Resistive Memory-based Computation. MEMSYS Mohsen Imani, Yan Cheng, Tajana Rosing
2016	—	`conf`	ReMAM: Low energy Resistive Multi-stage Associative Memory for energy efficient computing. ISQED Mohsen Imani, Pietro Mercati, Tajana Rosing
2016	A	`conf`	Resistive configurable associative memory for approximate computing. DATE Mohsen Imani, Abbas Rahimi, Tajana Simunic Rosing
2016	—	`conf`	Toward an Efficient Website Fingerprinting Defense. ESORICS (1) Marc Juarez, Mohsen Imani, Mike Perry, Claudia Díaz, Matthew Wright
2016	—	`conf`	VarDroid: Online Variability Emulation in Android/Linux Platforms. ACM Great Lakes Symposium on VLSI Pietro Mercati, Francesco Paterna, Andrea Bartolini, Mohsen Imani, Luca Benini, Tajana Simunic Rosing
2015	A	`conf`	CAUSE: Critical Application Usage-Aware Memory System using Non-volatile Memory for Mobile Devices. ICCAD Yeseong Kim, Mohsen Imani, Shruti Patil, Tajana Simunic Rosing
2015	—	`conf`	Hierarchical design of robust and low data dependent FinFET based SRAM array. NANOARCH Mohsen Imani, Shruti Patil, Tajana Simunic Rosing
2015	J	`jnl`	WTF-PAD: Toward an Efficient Website Fingerprinting Defense for Tor. CoRR Marc Juarez, Mohsen Imani, Mike Perry, Claudia Díaz, Matthew Wright
2013	—	`conf`	Bottom-up design of a high performance ultra-low power DFT utilizing multiple-VDD, multiple-Vth and gate sizing. DTIS Mohsen Jafari, Mohsen Imani, Morteza Fathipour, Nader Sehatbakhsh
2013	—	`conf`	Design of an ultra-low power 32-bit adder operating at subthreshold voltages in 45-nm FinFET. DTIS Mohsen Jafari, Mohsen Imani, Mohammad Ansari, Morteza Fathipour, Nader Sehatbakhsh