Presenting efficient features for automatic CAP detection in sleep EEG signals. - Foroozan Karimzadeh; Esmaeil Seraj; Reza Boostani; Mohammad Torabi-Nami (TSP, 2015)

A comparative review on sleep stage classification methods in patients and healthy individuals. - Reza Boostani; Foroozan Karimzadeh; Mohammad Nami (Comput. Methods Programs Biomed., 2017)

Hardware-Aware Pruning of DNNs using LFSR-Generated Pseudo-Random Indices. - Foroozan Karimzadeh; Ningyuan Cao; Brian Crafton; Justin Romberg; Arijit Raychowdhury (ISCAS, 2020)

Memory and Energy Efficient Method Toward Sparse Neural Network Using LFSR Indexing. - Foroozan Karimzadeh; Arijit Raychowdhury (VLSI-SOC, 2020)

A Hardware-Friendly Approach Towards Sparse Neural Networks Based on LFSR-Generated Pseudo-Random Sequences. - Foroozan Karimzadeh; Ningyuan Cao; Brian Crafton; Justin Romberg; Arijit Raychowdhury (IEEE Trans. Circuits Syst. I Regul. Pap., 2021)

Towards Energy Efficient DNN accelerator via Sparsified Gradual Knowledge Distillation. - Foroozan Karimzadeh; Arijit Raychowdhury (VLSI-SoC, 2022)

Towards CIM-friendly and Energy-Efficient DNN Accelerator via Bit-level Sparsity. - Foroozan Karimzadeh; Arijit Raychowdhury (VLSI-SoC, 2022)

BitS-Net: Bit-Sparse Deep Neural Network for Energy-Efficient RRAM-Based Compute-In-Memory. - Foroozan Karimzadeh; Jong-Hyeok Yoon; Arijit Raychowdhury (IEEE Trans. Circuits Syst. I Regul. Pap., 2022)

Memory-Based Computing for Energy-Efficient AI: Grand Challenges. - Foroozan Karimzadeh; Mohsen Imani; Bahar Asgari; Ningyuan Cao; Yingyan Lin; Yan Fang (VLSI-SoC, 2023)

Hardware-Friendly Model Compression techniques for Deep Learning Accelerators. - Foroozan Karimzadeh (2023)

Twofold Sparsity: Joint Bit- and Network-Level Sparsity for Energy-Efficient Deep Neural Network Using RRAM Based Compute-In-Memory. - Foroozan Karimzadeh; Arijit Raychowdhury (IEEE Access, 2024)

CommVQ: Commutative Vector Quantization for KV Cache Compression. - Junyan Li; Yang Zhang 001; Muhammad Yusuf Hassan; Talha Chafekar; Tianle Cai; Zhile Ren; Pengsheng Guo; Foroozan Karimzadeh; Colorado Reed; Chong Wang; Chuang Gan 001 (CoRR, 2025)