On-Chip Acceleration of RF Signal Modulation Classification With Short-Time Fourier Transform and Convolutional Neural Network. - Kuchul Jung; Jongseok Woo; Saibal Mukhopadhyay (IEEE Access, 2023)

A Hardware Accelerated Autoencoder for RF Communication Using Short-Time-Fourier- Transform Assisted Convolutional Neural Network. - Kuchul Jung; Jongseok Woo; Saibal Mukhopadhyay (DATE, 2024)

Enhancing IoT Security with a Hardware Accelerated Machine Learning Model coupling Autoencoder and Long-Short-Term-Memory for Anomaly Detection. - Kuchul Jung; Jongseok Woo; Saibal Mukhopadhyay (ISCAS, 2024)

Efficient Hardware Design of DNN for RF Signal Modulation Recognition. - Jongseok Woo; Kuchul Jung; Saibal Mukhopadhyay (ISCAS, 2024)

Hardware-friendly Hessian-driven Row-wise Quantization and FPGA Acceleration for Transformer-based Models. - Woohong Byun; Jongseok Woo; Saibal Mukhopadhyay (ISLPED, 2024)

Hessian-Aware KV Cache Quantization for LLMs. - Woohong Byun; Jongseok Woo; Saibal Mukhopadhyay (MWSCAS, 2024)

A Hybrid Approach to Defend Against Adversarial Evasion Attacks. - Kuchul Jung; Jongseok Woo; Saibal Mukhopadhyay (MWSCAS, 2024)

Modulation Recognition with Untrained Deep Neural Network for IoT and Mobile Applications. - Jongseok Woo; Kuchul Jung; Saibal Mukhopadhyay (RWS, 2024)

Efficient Hardware Design of DNN for RF Signal Modulation Recognition Employing Ternary Weights. - Jongseok Woo; Kuchul Jung; Saibal Mukhopadhyay (IEEE Access, 2024)

FPGA Acceleration With Hessian-Based Comprehensive Intra-Layer Mixed-Precision Quantization for Transformer Models. - Woohong Byun; Jongseok Woo; Saibal Mukhopadhyay (IEEE Access, 2025)