| 2026 | ASPDAC | SpANNS: Optimizing Approximate Nearest Neighbor Search for Sparse Vectors Using Near Memory Processing. | Tianqi Zhang, Flavio Ponzina, Tajana Rosing |
| 2026 | DATE | RAPID-Graph: Recursive All-Pairs Shortest Paths Using Processing-in-Memory for Dynamic Programming on Graphs. | Yanru Chen, Zheyu Li, Keming Fan, Runyang Tian, John Hsu, Weihong Xu, Minxuan Zhou, Tajana Rosing |
| 2026 | DATE | CHIME: Chiplet-based Heterogeneous Near-Memory Acceleration for Edge Multimodal LLM Inference. | Yanru Chen, Runyang Tian, Yue Pan, Zheyu Li, Weihong Xu, Tajana Rosing |
| 2026 | DATE | FHEIns: Fully Homomorphic Encryption Acceleration for Large Data Applications with In-Storage Processing. | Xuan Wang, Tianqi Zhang, Keming Fan, Augusto Vega, Minxuan Zhou, Tajana Rosing |
| 2026 | DATE | FaTRQ: Tiered Residual Quantization for LLM Vector Search in Far-Memory-Aware ANNS Systems. | Tianqi Zhang, Flavio Ponzina, Tajana Rosing |
| 2026 | ISCAS | SIMCH: Stochastic In-Memory Computing using High-Density MTJ. | Tianqi Zhang, Qiuyuan Wang, Flavio Ponzina, Luqiao Liu, Tajana Rosing |
| 2026 | ISLPED | QMC: Efficient SLM Edge Inference via Outlier-Aware Quantization and Emergent Memories Co-Design. | Nilesh Prasad Pandey, Jangseon Park, Onat Gngr, Flavio Ponzina, Tajana Rosing |
| 2026 | SIGCOMM | CCSwitch: A Scalable Data Plane for Non-Blocking In-Network Collective Communication. | Sumukh Pinge, Hardik Soni, Bob Lantz, Khaled Diab, Lianjie Cao, Tajana Rosing, Puneet Sharma |
| 2025 | AAAI | Bridging the Gap Between Hyperdimensional Computing and Kernel Methods via the Nystrm Method. | Quanling Zhao, Anthony Hitchcock Thomas, Ari Brin, Xiaofan Yu, Tajana Rosing |
| 2025 | ACL | TrimLLM: Progressive Layer Dropping for Domain-Specific LLMs. | Lanxiang Hu, Tajana Rosing, Hao Zhang |
| 2025 | ASPDAC | E-QUARTIC: Energy Efficient Edge Ensemble of Convolutional Neural Networks for Resource-Optimized Learning. | Le Zhang, Onat Gngr, Flavio Ponzina, Tajana Rosing |
| 2025 | DAC | CND-IDS: Continual Novelty Detection for Intrusion Detection Systems. | Sean Fuhrman, Onat Gngr, Tajana Rosing |
| 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 | Rhychee-FL: Robust and Efficient Hyperdimensional Federated Learning with Homomorphic Encryption. | Yujin Nam, Abhishek Moitra, Yeshwanth Venkatesha, Xiaofan Yu, Gabrielle De Micheli, Xuan Wang, Minxuan Zhou, Augusto Vega, Priyadarshini Panda, Tajana Rosing |
| 2025 | ICCAD | FeNOMS: Enhancing Open Modification Spectral Library Search with In-Storage Processing on Ferroelectric NAND (FeNAND) Flash. | Sumukh Pinge, Ashkan Moradifirouzabadi, Keming Fan, Prasanna Venkatesan Ravindran, Tanvir H. Pantha, Po-Kai Hsu, Zheyu Li, Weihong Xu, Zihan Xia, Flavio Ponzina, Winston Chern, Taeyoung Song, Priyankka Gundlapudi Ravikumar, Mengkun Tian, Lance Fernandes, Huy Tran, Hari Jayasankar, Hang Chen, Chinsung Park, Amrit Garlapati, Kijoon Kim, Jongho Woo, Suhwan Lim, Kwangsoo Kim, Wanki Kim, Daewon Ha, Duygu Kuzum, Shimeng Yu, Sourav Dutta, Asif Khan, Tajana Rosing, Mingu Kang |
| 2025 | ICCAD | PATHE: A Privacy-Preserving Database Pattern Search Platform with Homomorphic Encryption. | Xuan Wang, Minxuan Zhou, Gabrielle De Micheli, Yujin Nam, Sumukh Pinge, Augusto Vega, Tajana Rosing |
| 2025 | ICCD | HyperDrone: An Accurate, Robust, Fast, and Energy-Efficient Approach for Drone Classification. | Shriniwas Kulkarni, Flavio Ponzina, Tajana Rosing |
| 2025 | ICMLA | LIGHT-HIDS: A Lightweight and Effective Machine Learning-Based Framework for Robust Host Intrusion Detection. | Onat Gngr, Ishaan Kale, Jiasheng Zhou, Tajana Rosing |
| 2025 | ICMLA | AQUA-LLM: Evaluating Accuracy, Quantization, and Adversarial Robustness Trade-offs in LLMs for Cybersecurity Question Answering. | Onat Gngr, Roshan Sood, Harold Wang, Tajana Rosing |
| 2025 | ISCA | HPVM-HDC: A Heterogeneous Programming System for Accelerating Hyperdimensional Computing. | Russel Arbore, Xavier Routh, Abdul Rafae Noor, Akash Kothari, Haichao Yang, Weihong Xu, Sumukh Pinge, Minxuan Zhou, Tajana Rosing, Vikram S. Adve |
| 2025 | ISCA | OptiPIM: Optimizing Processing-in-Memory Acceleration Using Integer Linear Programming. | Jiantao Liu, Minxuan Zhou, Yue Pan, Chien-Yi Yang, Lana Josipovic, Tajana Rosing |
| 2025 | ISCA | Hybrid SLC-MLC RRAM Mixed-Signal Processing-in-Memory Architecture for Transformer Acceleration via Gradient Redistribution. | Chang Eun Song, Priyansh Bhatnagar, Zihan Xia, Nam Sung Kim, Tajana Rosing, Mingu Kang |
| 2025 | ISLPED | SmartMS: Efficient Hierarchical Database Search for Mass Spectrometry via Processing-in-Memory. | Flavio Ponzina, Sumukh Pinge, Zheyu Li, Abhijay Deevi, Yilin Ge, Mingu Kang, Tajana Rosing |
| 2025 | MASS | DailyLLM: Context-Aware Activity Log Generation Using Multi-Modal Sensors and LLMs. | Ye Tian, Xiaoyuan Ren, Zihao Wang, Onat Gngr, Xiaofan Yu, Tajana Rosing |
| 2025 | MICRO | Stratum: System-Hardware Co-Design with Tiered Monolithic 3D-Stackable DRAM for Efficient MoE Serving. | Yue Pan, Zihan Xia, Po-Kai Hsu, Lanxiang Hu, Hyungyo Kim, Janak Sharda, Minxuan Zhou, Nam Sung Kim, Shimeng Yu, Tajana Rosing, Mingu Kang |
| 2025 | SP | DYNAMITE: Dynamic Defense Selection for Enhancing Machine Learning-Based Intrusion Detection Against Adversarial Attacks. | Jing Chen, Onat Gngr, Zhengli Shang, Elvin Li, Tajana Rosing |
| 2025 | SENSYS | SensorQA: A Question Answering Benchmark for Daily-Life Monitoring. | Benjamin Z. Reichman, Xiaofan Yu, Lanxiang Hu, Jack Truxal, Atishay Jain, Rushil Chandrupatla, Tajana Rosing, Larry Heck |
| 2025 | SENSYS | Poster Abstract: Fine-grained Contextualized Activity Logs Generation based on Multi-Modal Sensor Data and LLM. | Ye Tian, Onat Gngr, Xiaofan Yu, Tajana Rosing |
| 2025 | SENSYS | Offload Rethinking by Cloud Assistance for Efficient Environmental Sound Recognition on LPWANs. | Le Zhang, Quanling Zhao, Run Wang, Shirley Bian, Onat Gngr, Flavio Ponzina, Tajana Rosing |
| 2024 | ASPDAC | PIONEER: Highly Efficient and Accurate Hyperdimensional Computing using Learned Projection. | Fatemeh Asgarinejad, Justin Morris, Tajana Rosing, Baris Aksanli |
| 2024 | ASPDAC | KalmanHD: Robust On-Device Time Series Forecasting with Hyperdimensional Computing. | Ivannia Gomez Moreno, Xiaofan Yu, Tajana Rosing |
| 2024 | ASPDAC | PRIMATE: Processing in Memory Acceleration for Dynamic Token-pruning Transformers. | Yue Pan, Minxuan Zhou, Chonghan Lee, Zheyu Li, Rishika Kushwah, Vijaykrishnan Narayanan, Tajana Rosing |
| 2024 | BIBE | HyperECG: ECG Signal Inference From Radar With Hyperdimensional Computing. | Matilda Gaddi, Flavio Ponzina, Fatemeh Asgarinejad, Baris Aksanli, Tajana Rosing |
| 2024 | DAC | Efficient Open Modification Spectral Library Searching in High-Dimensional Space with Multi-Level-Cell Memory. | Keming Fan, Wei-Chen Chen, Sumukh Pinge, H.-S. Philip Wong, Tajana Rosing |
| 2024 | DAC | RL-PTQ: RL-based Mixed Precision Quantization for Hybrid Vision Transformers. | Eunji Kwon, Minxuan Zhou, Weihong Xu, Tajana Rosing, Seokhyeong Kang |
| 2024 | DAC | SpectraFlux: Harnessing the Flow of Multi-FPGA in Mass Spectrometry Clustering. | Tianqi Zhang, Neha Prakriya, Sumukh Pinge, Jason Cong, Tajana Rosing |
| 2024 | DATE | HygHD: Hyperdimensional Hypergraph Learning. | Jaeyoung Kang, Youhak Lee, Minxuan Zhou, Weihong Xu, Tajana Rosing |
| 2024 | DATE | ROLDEF: RObust Layered DEFense for Intrusion Detection Against Adversarial Attacks. | Onat Gngr, Tajana Rosing, Baris Aksanli |
| 2024 | DATE | SpecHD: Hyperdimensional Computing Framework for FPGA-Based Mass Spectrometry Clustering. | Sumukh Pinge, Weihong Xu, Jaeyoung Kang, Tianqi Zhang, Niema Moshiri, Wout Bittremieux, Tajana Rosing |
| 2024 | DATE | AttBind: Memory-Efficient Acceleration for Long-Range Attention Using Vector-Derived Symbolic Binding. | Weihong Xu, Jaeyoung Kang, Tajana Rosing |
| 2024 | DATE | MultimodalHD: Federated Learning Over Heterogeneous Sensor Modalities using Hyperdimensional Computing. | Quanling Zhao, Xiaofan Yu, Shengfan Hu, Tajana Rosing |
| 2024 | ICCAD | HDXpose: Harnessing Hyperdimensional Computing's Explainability for Adversarial Attacks. | Fatemeh Asgarinejad, Flavio Ponzina, Onat Gngr, Tajana Rosing, Baris Aksanli |
| 2024 | ICCAD | Multi-Objective Software-Hardware Co-Optimization for HD-PIM via Noise-Aware Bayesian Optimization. | Chien-Yi Yang, Minxuan Zhou, Flavio Ponzina, Suraj Sathya Prakash, Raid Ayoub, Pietro Mercati, Mahesh Subedar, Tajana Rosing |
| 2024 | ICCD | Multi-Model Inference Composition of Hyperdimensional Computing Ensembles. | Flavio Ponzina, Rishikanth Chandrasekaran, Anya Wang, Seiji Minowada, Siddharth Sharma, Tajana Rosing |
| 2024 | ICPR | A Robust Framework for Evaluation of Unsupervised Time-Series Anomaly Detection. | Onat Gngr, Amanda Rios, Priyanka Mudgal, Nilesh A. Ahuja, Tajana Rosing |
| 2024 | ISLPED | VisionHD: Towards Efficient and Privacy-Preserved Hyperdimensional Computing for Image Data. | Fatemeh Asgarinejad, Justin Morris, Tajana Rosing, Baris Aksanli |
| 2024 | ISLPED | Efficient Transformer Acceleration via Reconfiguration for Encoder and Decoder Models and Sparsity-Aware Algorithm Mapping. | Chang Eun Song, Ashkan Moradifirouzabadi, Tajana Rosing, Mingu Kang |
| 2024 | MICRO | UFC: A Unified Accelerator for Fully Homomorphic Encryption. | Minxuan Zhou, Yujin Nam, Xuan Wang, Youhak Lee, Chris Wilkerson, Raghavan Kumar, Sachin Taneja, Sanu Mathew, Rosario Cammarota, Tajana Rosing |
| 2024 | WACV | Evolve: Enhancing Unsupervised Continual Learning with Multiple Experts. | Xiaofan Yu, Tajana Rosing, Yunhui Guo |
| 2024 | SENSYS | Poster: Resource-Efficient Environmental Sound Classification Using Hyperdimensional Computing. | Run Wang, Shirley Bian, Xiaofan Yu, Quanling Zhao, Le Zhang, Tajana Rosing |
| 2024 | SENSYS | Demo: A Real Time Question Answering System for Multimodal Sensors using LLMs. | Xiaofan Yu, Lanxiang Hu, Benjamin Z. Reichman, Rushil Chandrupatla, Dylan Chu, Xiyuan Zhang, Larry Heck, Tajana Rosing |
| 2023 | ACML | Mem-Rec: Memory Efficient Recommendation System using Alternative Representation. | Gopi Krishna Jha, Anthony Thomas, Nilesh Jain, Sameh Gobriel, Tajana Rosing, Ravi R. Iyer |
| 2023 | CVPR | SCALE: Online Self-Supervised Lifelong Learning without Prior Knowledge. | Xiaofan Yu, Yunhui Guo, Sicun Gao, Tajana Rosing |
| 2023 | DAC | Lightning Talk: Private and Secure Edge AI with Hyperdimensional Computing. | Xiaofan Yu, Minxuan Zhou, Fatemeh Asgarinejad, Onat Gngr, Baris Aksanli, Tajana Rosing |
| 2023 | DATE | HD-I-IoT: Hyperdimensional Computing for Resilient Industrial Internet of Things Analytics. | Onat Gngr, Tajana Rosing, Baris Aksanli |
| 2023 | DATE | FSL-HD: Accelerating Few-Shot Learning on ReRAM using Hyperdimensional Computing. | Weihong Xu, Jaeyoung Kang, Tajana Rosing |
| 2023 | DATE | OverlaPIM: Overlap Optimization for Processing In-Memory Neural Network Acceleration. | Minxuan Zhou, Xuan Wang, Tajana Rosing |
| 2023 | ICCD | HyperMetric: Robust Hyperdimensional Computing on Error-prone Memories using Metric Learning. | Weihong Xu, Viji Swaminathan, Sumukh Pinge, Sean Fuhrman, Tajana Rosing |
| 2023 | IJCAI | Algorithm-Hardware Co-Design for Efficient Brain-Inspired Hyperdimensional Learning on Edge (Extended Abstract). | Yang Ni, Yeseong Kim, Tajana Rosing, Mohsen Imani |
| 2023 | ISLPED | Efficient Machine Learning on Encrypted Data Using Hyperdimensional Computing. | Yujin Nam, Minxuan Zhou, Saransh Gupta, Gabrielle De Micheli, Rosario Cammarota, Chris Wilkerson, Daniele Micciancio, Tajana Rosing |
| 2022 | ASPDAC | XCelHD: An Efficient GPU-Powered Hyperdimensional Computing with Parallelized Training. | Jaeyoung Kang, Behnam Khaleghi, Yeseong Kim, Tajana Rosing |
| 2022 | DAC | FHDnn: communication efficient and robust federated learning for AIoT networks. | Rishikanth Chandrasekaran, Kazim Ergun, Jihyun Lee, Dhanush Nanjunda, Jaeyoung Kang, Tajana Rosing |
| 2022 | DAC | GENERIC: highly efficient learning engine on edge using hyperdimensional computing. | Behnam Khaleghi, Jaeyoung Kang, Hanyang Xu, Justin Morris, Tajana Rosing |
| 2022 | DAC | PatterNet: explore and exploit filter patterns for efficient deep neural networks. | Behnam Khaleghi, Uday Mallappa, Duygu Yaldiz, Haichao Yang, Monil Shah, Jaeyoung Kang, Tajana Rosing |
| 2022 | DAC | A near-storage framework for boosted data preprocessing of mass spectrum clustering. | Weihong Xu, Jaeyoung Kang, Tajana Rosing |
| 2022 | DATE | HyperSpike: HyperDimensional Computing for More Efficient and Robust Spiking Neural Networks. | Justin Morris, Hin Wai Lui, Kenneth Michael Stewart, Behnam Khaleghi, Anthony Thomas, Thiago Marback, Baris Aksanli, Emre Neftci, Tajana Rosing |
| 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 | DATE | Remote Sensing with UAV and Mobile Recharging Vehicle Rendezvous. | Michael H. Ostertag, Jason Ma, Tajana Rosing |
| 2022 | DATE | PIMProf: An Automated Program Profiler for Processing-in-Memory Offloading Decisions. | Yizhou Wei, Minxuan Zhou, Sihang Liu, Korakit Seemakhupt, Tajana Rosing, Samira Manabi Khan |
| 2022 | HPCA | TransPIM: A Memory-based Acceleration via Software-Hardware Co-Design for Transformer. | Minxuan Zhou, Weihong Xu, Jaeyoung Kang, Tajana Rosing |
| 2022 | ICCD | RelHD: A Graph-based Learning on FeFET with Hyperdimensional Computing. | Jaeyoung Kang, Minxuan Zhou, Abhinav Bhansali, Weihong Xu, Anthony Thomas, Tajana Rosing |
| 2022 | ICCD | TermiNETor: Early Convolution Termination for Efficient Deep Neural Networks. | Uday Mallappa, Pranav Gangwar, Behnam Khaleghi, Haichao Yang, Tajana Rosing |
| 2022 | IJCAI | A Theoretical Perspective on Hyperdimensional Computing (Extended Abstract). | Anthony Thomas, Sanjoy Dasgupta, Tajana Rosing |
| 2022 | MOBICOM | FedHD: federated learning with hyperdimensional computing. | Quanling Zhao, Kai Lee, Jeffrey Liu, Muhammad Huzaifa, Xiaofan Yu, Tajana Rosing |
| 2021 | ASPDAC | Energy and QoS-Aware Dynamic Reliability Management of IoT Edge Computing Systems. | Kazim Ergun, Raid Ayoub, Pietro Mercati, Dancheng Liu, Tajana Rosing |
| 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 | Residue-Net: Multiplication-free Neural Network by In-situ No-loss Migration to Residue Number Systems. | Sahand Salamat, Sumiran Shubhi, Behnam Khaleghi, 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 | MAT: Processing In-Memory Acceleration for Long-Sequence Attention. | Minxuan Zhou, Yunhui Guo, Weihong Xu, Bin Li, Kevin W. Eliceiri, Tajana Rosing |
| 2021 | DATE | TruLook: A Framework for Configurable GPU Approximation. | Ricardo Garcia, Fatemeh Asgarinejad, Behnam Khaleghi, Tajana Rosing, 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 | 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 | FPGA | NASCENT: Near-Storage Acceleration of Database Sort on SmartSSD. | Sahand Salamat, Armin Haj Aboutalebi, Behnam Khaleghi, Joo Hwan Lee, Yang-Seok Ki, Tajana Rosing |
| 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 | ICCD | Stochastic-HD: Leveraging Stochastic Computing on Hyper-Dimensional Computing. | Yilun Hao, Saransh Gupta, Justin Morris, Behnam Khaleghi, Baris Aksanli, Tajana 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 | INFOCOM | Frequency-aware Trajectory and Power Control for Multi-UAV Systems. | Jason Ma, Michael H. Ostertag, Dinesh Bharadia, Tajana Rosing |
| 2021 | ISLPED | FPRA: A Fine-grained Parallel RRAM Architecture. | Xiao Liu, Minxuan Zhou, Rachata Ausavarungnirun, Sean Eilert, Ameen Akel, Tajana Rosing, Vijaykrishnan Narayanan, Jishen Zhao |
| 2020 | AAAI | AdaFilter: Adaptive Filter Fine-Tuning for Deep Transfer Learning. | Yunhui Guo, Yandong Li, Liqiang Wang, Tajana Rosing |
| 2020 | DAC | Prive-HD: Privacy-Preserved Hyperdimensional Computing. | Behnam Khaleghi, Mohsen Imani, Tajana Rosing |
| 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 | DATE | Efficient Training on Edge Devices Using Online Quantization. | Michael H. Ostertag, Sara A. Al-Doweesh, Tajana Rosing |
| 2020 | DSN | Simulating Reliability of IoT Networks with RelIoT. | Kazim Ergun, Xiaofan Yu, Nitish Nagesh, Ludmila Cherkasova, Pietro Mercati, Raid Ayoub, Tajana Rosing |
| 2020 | ECCV | A Broader Study of Cross-Domain Few-Shot Learning. | Yunhui Guo, Noel Codella, Leonid Karlinsky, James V. Codella, John R. Smith, Kate Saenko, Tajana Rosing, Rogrio Feris |
| 2020 | HPCA | Deep Learning Acceleration with Neuron-to-Memory Transformation. | Mohsen Imani, Mohammad Samragh Razlighi, Yeseong Kim, Saransh Gupta, Farinaz Koushanfar, Tajana Rosing |
| 2020 | ISLPED | SHEAR | Behnam Khaleghi, Sahand Salamat, Anthony Thomas, Fatemeh Asgarinejad, Yeseong Kim, Tajana 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 | AAAI | Depthwise Convolution Is All You Need for Learning Multiple Visual Domains. | Yunhui Guo, Yandong Li, Liqiang Wang, 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 | CVPR | SpotTune: Transfer Learning Through Adaptive Fine-Tuning. | Yunhui Guo, Honghui Shi, Abhishek Kumar, Kristen Grauman, Tajana Rosing, Rogrio Schmidt Feris |
| 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 | DATE | Application Performance Prediction and Optimization Under Cache Allocation Technology. | Yeseong Kim, Ankit More, Emily Shriver, 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 | Dynamic Optimization of Battery Health in IoT Networks. | Kazim Ergun, Raid Ayoub, Pietro Mercati, 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 |
| 2019 | SENSYS | Efficient Sparse Processing in Smart Home Applications. | Rishikanth Chandrasekaran, Yunhui Guo, Anthony Thomas, Massimiliano Menarini, Michael H. Ostertag, Yeseong Kim, Tajana Rosing |
| 2018 | ASPDAC | CANNA: Neural network acceleration using configurable approximation on GPGPU. | Mohsen Imani, Max Masich, Daniel Peroni, Pushen Wang, Tajana Rosing |
| 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 | ICCAD | P | Yeseong Kim, Pietro Mercati, Ankit More, Emily Shriver, Tajana Rosing |
| 2017 | ISLPED | Efficient query processing in crossbar memory. | Mohsen Imani, Saransh Gupta, Atl Arredondo, Tajana Rosing |
| 2016 | ISLPED | ACAM: Approximate Computing Based on Adaptive Associative Memory with Online Learning. | Mohsen Imani, Yeseong Kim, Abbas Rahimi, Tajana Rosing |
| 2014 | DATE | Providing regulation services and managing data center peak power budgets. | Baris Aksanli, Tajana Rosing |
| 2014 | HOTI | Traffic Optimization in Multi-layered WANs Using SDN. | Henrique Rodrigues, Inder Monga, Abhinava Sadasivarao, Sharfuddin Syed, Chin Guok, Eric Pouyoul, Chris Liou, Tajana Rosing |
| 2014 | ISPA | A Proactive Customer-Aware Resource Allocation Approach for Data Centers. | Filippo Seracini, Xiang Zhang, Tajana Rosing, Ingolf Krger |
| 2013 | ASPDAC | On potential design impacts of electromigration awareness. | Andrew B. Kahng, Siddhartha Nath, Tajana Rosing |
| 2013 | ISCC | A comprehensive approach to reduce the energy cost of network of datacenters. | Baris Aksanli, Jagannathan Venkatesh, Tajana Rosing, Inder Monga |
| 2013 | MASCOTS | Architecting Efficient Peak Power Shaving Using Batteries in Data Centers. | Baris Aksanli, Eddie Pettis, Tajana Rosing |
| 2013 | SIGCOMM | Integrating microsecond circuit switching into the data center. | George Porter, Richard D. Strong, Nathan Farrington, Alex Forencich, Pang-Chen Sun, Tajana Rosing, Yeshaiahu Fainman, George Papen, Amin Vahdat |
| 2012 | HPCA | JETC: Joint energy thermal and cooling management for memory and CPU subsystems in servers. | Raid Zuhair Ayoub, Rajib Nath, Tajana Rosing |
| 2012 | ISLPED | TAP: token-based adaptive power gating. | Andrew B. Kahng, Seokhyeong Kang, Tajana Rosing, Richard D. Strong |
| 2011 | ISLPED | OS-level power minimization under tight performance constraints in general purpose systems. | Raid Zuhair Ayoub, mit Y. Ogras, Eugene Gorbatov, Yanqin Jin, Timothy Kam, Paul Diefenbaugh, Tajana Rosing |
| 2011 | SOSP | Utilizing green energy prediction to schedule mixed batch and service jobs in data centers. | Baris Aksanli, Jagannathan Venkatesh, Liuyi Eric Zhang, Tajana Rosing |
| 2010 | DAC | A system for online power prediction in virtualized environments using Gaussian mixture models. | Gaurav Dhiman, Kresimir Mihic, Tajana Rosing |
| 2010 | DATE | DynAHeal: Dynamic energy efficient task assignment for wireless healthcare systems. | Priti Aghera, Dilip Krishnaswamy, Diana Fang, Ayse K. Coskun, Tajana Rosing |
| 2010 | ISLPED | Dynamic workload characterization for power efficient scheduling on CMP systems. | Gaurav Dhiman, Vasileios Kontorinis, Dean M. Tullsen, Tajana Rosing, Eric Saxe, Jonathan Chew |
| 2009 | DAC | PDRAM: a hybrid PRAM and DRAM main memory system. | Gaurav Dhiman, Raid Zuhair Ayoub, Tajana Rosing |
| 2009 | ISLPED | vGreen: a system for energy efficient computing in virtualized environments. | Gaurav Dhiman, Giacomo Marchetti, Tajana Rosing |