8 citations · 37 across the 15 of their papers we have counts for
15 papers
Quantum Circuit Simulation with Fast Tensor Decision Diagram
Qirui Zhang, Mehdi Saligane, Hun-Seok Kim +3
Quantum circuit simulation is a challenging computational problem crucial for quantum computing research and development. The predominant approaches in this area center on tensor n…
Deep Joint Source-Channel Coding with Iterative Source Error Correction
Changwoo Lee, Xiao Hu, Hun-Seok Kim
In this paper, we propose an iterative source error correction (ISEC) decoding scheme for deep-learning-based joint source-channel coding (Deep JSCC). Given a noisy codeword receiv…
Autocorrelation and Spectrum Analysis for Variable Symbol Length Communications with Feedback
Chin-Wei Hsu, Hun-Seok Kim, Achilleas Anastasopoulos
Variable-length feedback codes can provide advantages over fixed-length feedback or non-feedback codes. This letter focuses on uncoded variable-symbol-length feedback communication…
Learning-Based Near-Orthogonal Superposition Code for MIMO Short Message Transmission
Chenghong Bian, Chin-Wei Hsu, Changwoo Lee +1
Massive machine type communication (mMTC) has attracted new coding schemes optimized for reliable short message transmission. In this paper, a novel deep learning-based near-orthog…
Hardware Acceleration for Third-Generation FHE and PSI Based on It
Zhehong Wang, Dennis Sylvester, Hun-Seok Kim +1
With the expansion of cloud services, serious concerns about the privacy of users' data arise due to the exposure of the unencrypted data to the server during computation. Various…
Millimeter-Scale Ultra-Low-Power Imaging System for Intelligent Edge Monitoring
Andrea Bejarano-Carbo, Hyochan An, Kyojin Choo +5
Millimeter-scale embedded sensing systems have unique advantages over larger devices as they are able to capture, analyze, store, and transmit data at the source while being unobtr…
Deep Learning Based Near-Orthogonal Superposition Code for Short Message Transmission
Chenghong Bian, Mingyu Yang, Chin-Wei Hsu +1
Massive machine type communication (mMTC) has attracted new coding schemes optimized for reliable short message transmission. In this paper, a novel deep learning based near-orthog…
Deep Joint Source-Channel Coding for Wireless Image Transmission with Adaptive Rate Control
Mingyu Yang, Hun-Seok Kim
We present a novel adaptive deep joint source-channel coding (JSCC) scheme for wireless image transmission. The proposed scheme supports multiple rates using a single deep neural n…
Unified Signal Compression Using a GAN with Iterative Latent Representation Optimization
Bowen Liu, Changwoo Lee, Ang Cao +1
We propose a unified signal compression framework that uses a generative adversarial network (GAN) to compress heterogeneous signals. The compressed signal is represented as a late…
OFDM-guided Deep Joint Source Channel Coding for Wireless Multipath Fading Channels
Mingyu Yang, Chenghong Bian, Hun-Seok Kim
We investigate joint source channel coding (JSCC) for wireless image transmission over multipath fading channels. Inspired by recent works on deep learning based JSCC and model-bas…
Versa: A Dataflow-Centric Multiprocessor with 36 Systolic ARM Cortex-M4F Cores and a Reconfigurable Crossbar-Memory Hierarchy in 28nm
Sung Kim, Morteza Fayazi, Alhad Daftardar +10
We present Versa, an energy-efficient processor with 36 systolic ARM Cortex-M4F cores and a runtime-reconfigurable memory hierarchy. Versa exploits algorithm-specific characteristi…
Deep Joint Source Channel Coding for WirelessImage Transmission with OFDM
Mingyu Yang, Chenghong Bian, Hun-Seok Kim
We present a deep learning based joint source channel coding (JSCC) scheme for wireless image transmission over multipath fading channels with non-linear signal clipping. The propo…
Migrating Monarch Butterfly Localization Using Multi-Sensor Fusion Neural Networks
Mingyu Yang, Roger Hsiao, Gordy Carichner +6
Details of Monarch butterfly migration from the U.S. to Mexico remain a mystery due to lack of a proper localization technology to accurately localize and track butterfly migration…
Unified Signal Compression Using Generative Adversarial Networks
Bowen Liu, Ang Cao, Hun-seok Kim
We propose a unified compression framework that uses generative adversarial networks (GAN) to compress image and speech signals. The compressed signal is represented by a latent ve…
Simultaneous Interference-Data Transmission for Secret Key Generation in Distributed IoT Sensor Networks
Najme Ebrahimi, Hun-seok Kim, D Blaauw
Internet of Things (IoT) networks for smart sensor nodes in the next generation of smart wireless sensing systems require a distributed security scheme to prevent the passive (eave…