Hyeji Kim

116 papers A* 13A 4B 11C 1Misc 1Journal 62Unranked 24
YearRankTypeTitle / Venue / Authors
2026 J jnl
Dynamic Tokenization via Reinforcement Patching: End-to-end Training and Zero-shot Transfer.
CoRR
Yulun Wu, Sravan Kumar Ankireddy, Samuel Sharpe, Nikita Seleznev, Dehao Yuan, Hyeji Kim, Nam H. Nguyen
2026 J jnl
Generating High Dimensional User-Specific Wireless Channels Using Diffusion Models.
IEEE Trans. Wirel. Commun.
Taekyun Lee, Juseong Park, Hyeji Kim, Jeffrey G. Andrews
2026 J jnl
Residual Diffusion Models for Variable-Rate Joint Source-Channel Coding of MIMO CSI.
IEEE J. Sel. Areas Commun.
Sravan Kumar Ankireddy, Heasung Kim, Joonyoung Cho, Hyeji Kim
2026 J jnl
TERMINATOR: Learning Optimal Exit Points for Early Stopping in Chain-of-Thought Reasoning.
CoRR
Alliot Nagle, Jakhongir Saydaliev, Dhia Garbaya, Michael Gastpar, Ashok Vardhan Makkuva, Hyeji Kim
2025 — conf
An End-to-End Learning Framework for MIMO Communications.
IEEECONF
Karl Chahine, Jung Hyun Bae, Dongwoon Bai, Hyeji Kim
2025 A* conf
Attention with Markov: A Curious Case of Single-layer Transformers.
ICLR
Ashok Vardhan Makkuva, Marco Bondaschi, Adway Girish, Alliot Nagle, Martin Jaggi, Hyeji Kim, Michael Gastpar
2025 J jnl
Deep-OFDM: Neural Modulation for High Mobility.
CoRR
Sravan Kumar Ankireddy, S. Ashwin Hebbar, Pramod Viswanath, Hyeji Kim
2025 J jnl
DiffLoc: Diffusion Model-Based High-Precision Positioning for 6G Networks.
CoRR
Taekyun Lee, Tommaso Balercia, Heasung Kim, Hyeji Kim, Jeffrey G. Andrews
2025 J jnl
Enhancing K-User Interference Alignment for Discrete Constellations via Learning.
IEEE J. Sel. Areas Commun.
Rajesh K. Mishra, Syed Ali Jafar, Sriram Vishwanath, Hyeji Kim
2025 J jnl
Fine-Tuning Masked Diffusion for Provable Self-Correction.
CoRR
Jaeyeon Kim, Seunggeun Kim, Taekyun Lee, David Z. Pan, Hyeji Kim, Sham M. Kakade, Sitan Chen
2025 J jnl
Fundamental Limits to Exploiting Side Information for CSI Feedback in Wireless Systems.
IEEE J. Sel. Areas Commun.
Heasung Kim, Gustavo de Veciana, Hyeji Kim
2025 — conf
Generative Diffusion Model-Based Compression of MIMO CSI.
ICC
Heasung Kim, Taekyun Lee, Hyeji Kim, Gustavo de Veciana, Mohamed Amine Arfaoui, Asil Koç, Philip Pietraski, Guodong Zhang, John Kaewell
2025 J jnl
Generative Diffusion Model-based Compression of MIMO CSI.
CoRR
Heasung Kim, Taekyun Lee, Hyeji Kim, Gustavo de Veciana, Mohamed Amine Arfaoui, Asil Koç, Philip Pietraski, Guodong Zhang, John Kaewell
2025 J jnl
Importance Sampling via Score-based Generative Models.
CoRR
Heasung Kim, Taekyun Lee, Hyeji Kim, Gustavo de Veciana
2025 J jnl
Light Code: Light Analytical and Neural Codes for Channels With Feedback.
IEEE J. Sel. Areas Commun.
Sravan Kumar Ankireddy, Krishna R. Narayanan, Hyeji Kim
2025 B conf
Lower Bound of Networked Linear Quadratic Gaussian Plant with Two Linear Sensors and One Controller.
ISIT
Sijie Li, Takashi Tanaka, Hyeji Kim
2025 — conf
NTF-OFDM: Robust Neural Modulation for High Mobility.
IEEECONF
Sravan Kumar Ankireddy, S. Ashwin Hebbar, Pramod Viswanath, Hyeji Kim
2025 — conf
Residual Diffusion Models for Joint Source Channel Coding of MIMO CSI.
IEEECONF
Sravan Kumar Ankireddy, Heasung Kim, Hyeji Kim
2025 J jnl
Residual Diffusion Models for Variable-Rate Joint Source Channel Coding of MIMO CSI.
CoRR
Sravan Kumar Ankireddy, Heasung Kim, Hyeji Kim
2024 J jnl
Attention with Markov: A Framework for Principled Analysis of Transformers via Markov Chains.
CoRR
Ashok Vardhan Makkuva, Marco Bondaschi, Adway Girish, Alliot Nagle, Martin Jaggi, Hyeji Kim, Michael Gastpar
2024 A* conf
Clustered Federated Learning via Gradient-based Partitioning.
ICML
Heasung Kim, Hyeji Kim, Gustavo de Veciana
2024 — conf
Deep Learning-Based Autodetection of 5G NR mm Wave Waveforms.
ICC
Taekyun Lee, Abhinav Mahadevan, Hyeji Kim, Jeffrey G. Andrews
2024 — conf
Deep Learning-Based mmWave Beam Alignment with Only Pilot Channel Measurements.
ICC
Taekyun Lee, Hyeji Kim, Jeffrey G. Andrews
2024 J jnl
DeepIC+: Learning Codes for Interference Channels.
IEEE Trans. Wirel. Commun.
Karl Chahine, Yihan Jiang, Joonyoung Cho, Hyeji Kim
2024 A* conf
DeepPolar: Inventing Nonlinear Large-Kernel Polar Codes via Deep Learning.
ICML
S. Ashwin Hebbar, Sravan Kumar Ankireddy, Hyeji Kim, Sewoong Oh, Pramod Viswanath
2024 J jnl
DeepPolar: Inventing Nonlinear Large-Kernel Polar Codes via Deep Learning.
CoRR
S. Ashwin Hebbar, Sravan Kumar Ankireddy, Hyeji Kim, Sewoong Oh, Pramod Viswanath
2024 B conf
Estimation of Rate- Distortion Function for Computing with Decoder Side Information.
ISIT
Heasung Kim, Hyeji Kim, Gustavo de Veciana
2024 A* conf
Fundamental Limits of Prompt Compression: A Rate-Distortion Framework for Black-Box Language Models.
NeurIPS
Alliot Nagle, Adway Girish, Marco Bondaschi, Michael Gastpar, Ashok Vardhan Makkuva, Hyeji Kim
2024 J jnl
Fundamental Limits of Prompt Compression: A Rate-Distortion Framework for Black-Box Language Models.
CoRR
Adway Girish, Alliot Nagle, Marco Bondaschi, Michael Gastpar, Ashok Vardhan Makkuva, Hyeji Kim
2024 J jnl
Generating High Dimensional User-Specific Wireless Channels using Diffusion Models.
CoRR
Taekyun Lee, Juseong Park, Hyeji Kim, Jeffrey G. Andrews
2024 — conf
High Dimensional User-Specific Channel Generation for CSI Compression Using Diffusion Models.
IEEECONF
Taekyun Lee, Juseong Park, Hyeji Kim, Jeffrey G. Andrews
2024 A* conf
LASER: Linear Compression in Wireless Distributed Optimization.
ICML
Ashok Vardhan Makkuva, Marco Bondaschi, Thijs Vogels, Martin Jaggi, Hyeji Kim, Michael Gastpar
2024 J jnl
LIGHTCODE: Light Analytical and Neural Codes for Channels with Feedback.
CoRR
Sravan Kumar Ankireddy, Krishna Narayanan, Hyeji Kim
2024 A* conf
Local to Global: Learning Dynamics and Effect of Initialization for Transformers.
NeurIPS
Ashok Vardhan Makkuva, Marco Bondaschi, Adway Girish, Alliot Nagle, Hyeji Kim, Michael Gastpar, Chanakya Ekbote
2024 J jnl
Local to Global: Learning Dynamics and Effect of Initialization for Transformers.
CoRR
Ashok Vardhan Makkuva, Marco Bondaschi, Chanakya Ekbote, Adway Girish, Alliot Nagle, Hyeji Kim, Michael Gastpar
2024 A* conf
Neural Cover Selection for Image Steganography.
NeurIPS
Karl Chahine, Hyeji Kim
2024 J jnl
Neural Cover Selection for Image Steganography.
CoRR
Karl Chahine, Hyeji Kim
2024 J jnl
Neural Distributed Source Coding.
IEEE J. Sel. Areas Inf. Theory
Jay Whang, Alliot Nagle, Anish Acharya, Hyeji Kim, Alexandros G. Dimakis
2023 B conf
Compressed Error HARQ: Feedback Communication on Noise-Asymmetric Channels.
ISIT
Sravan Kumar Ankireddy, S. Ashwin Hebbar, Yihan Jiang, Pramod Viswanath, Hyeji Kim
2023 J jnl
Compressed Error HARQ: Feedback Communication on Noise-Asymmetric Channels.
CoRR
Sravan Kumar Ankireddy, S. Ashwin Hebbar, Yihan Jiang, Hyeji Kim, Pramod Viswanath
2023 — conf
Interpreting Neural Min-Sum Decoders.
ICC
Sravan Kumar Ankireddy, Hyeji Kim
2023 J jnl
LASER: Linear Compression in Wireless Distributed Optimization.
CoRR
Ashok Vardhan Makkuva, Marco Bondaschi, Thijs Vogels, Martin Jaggi, Hyeji Kim, Michael C. Gastpar
2023 J jnl
Linear Coding for AWGN Channels With Noisy Output Feedback via Dynamic Programming.
IEEE Trans. Inf. Theory
Rajesh K. Mishra, Deepanshu Vasal, Hyeji Kim
2023 A* conf
Task-aware Distributed Source Coding under Dynamic Bandwidth.
NeurIPS
Po-han Li, Sravan Kumar Ankireddy, Ruihan Philip Zhao, Hossein Nourkhiz Mahjoub, Ehsan Moradi-Pari, Ufuk Topcu, Sandeep Chinchali, Hyeji Kim
2023 J jnl
Task-aware Distributed Source Coding under Dynamic Bandwidth.
CoRR
Po-han Li, Sravan Kumar Ankireddy, Ruihan Zhao, Hossein Nourkhiz Mahjoub, Ehsan Moradi-Pari, Ufuk Topcu, Sandeep Chinchali, Hyeji Kim
2022 J jnl
A High-Throughput Depth Estimation Processor for Accurate Semiglobal Stereo Matching Using Pipelined Inter-Pixel Aggregation.
IEEE Trans. Circuits Syst. Video Technol.
Yeongmin Lee, Hyeji Kim
2022 J jnl
Inventing Codes for Channels With Active Feedback via Deep Learning.
IEEE J. Sel. Areas Inf. Theory
Karl Chahine, Rajesh K. Mishra, Hyeji Kim
2022 B conf
Learning Variable-Rate Codes for CSI Feedback.
GLOBECOM
Heasung Kim, Hyeji Kim, Gustavo de Veciana
2022 — conf
M3FPU: Multiformat Matrix Multiplication FPU Architectures for Neural Network Computations.
AICAS
Won Jeon, Yong Cheol Peter Cho, Hyun-Mi Kim, Hyeji Kim, Jaehoon Chung, Ju-Yeob Kim, Miyoung Lee, Chun-Gi Lyuh, Jinho Han, Youngsu Kwon
2022 J jnl
Neural Augmented Min-Sum Decoding of Short Block Codes for Fading Channels.
CoRR
Sravan Kumar Ankireddy, Hyeji Kim
2022 B conf
TinyTurbo: Efficient Turbo Decoders on Edge.
ISIT
S. Ashwin Hebbar, Rajesh K. Mishra, Sravan Kumar Ankireddy, Ashok Vardhan Makkuva, Hyeji Kim, Pramod Viswanath
2022 J jnl
TinyTurbo: Efficient Turbo Decoders on Edge.
CoRR
S. Ashwin Hebbar, Rajesh K. Mishra, Sravan Kumar Ankireddy, Ashok Vardhan Makkuva, Hyeji Kim, Pramod Viswanath
2022 — conf
Turbo Autoencoder with a Trainable Interleaver.
ICC
Karl Chahine, Yihan Jiang, Pooja Nuti, Hyeji Kim, Joonyoung Cho
2022 A conf
Understanding the Negative Aspects of User Experience in Human-likeness of Voice-based Conversational Agents.
Conference on Designing Interactive Systems
Hyeji Kim, Inchan Jung, Youn-kyung Lim
2021 — conf
A Channel Coding Benchmark for Meta-Learning.
NeurIPS Datasets and Benchmarks
Rui Li, Ondrej Bohdal, Rajesh K. Mishra, Hyeji Kim, Da Li, Nicholas D. Lane, Timothy M. Hospedales
2021 J jnl
A Channel Coding Benchmark for Meta-Learning.
CoRR
Rui Li, Ondrej Bohdal, Rajesh K. Mishra, Hyeji Kim, Da Li, Nicholas D. Lane, Timothy M. Hospedales
2021 B conf
DeepIC: Coding for Interference Channels via Deep Learning.
GLOBECOM
Karl Chahine, Nanyang Ye, Hyeji Kim
2021 J jnl
DeepIC: Coding for Interference Channels via Deep Learning.
CoRR
Karl Chahine, Nanyang Ye, Hyeji Kim
2021 B conf
Distributed Interference Alignment for K-user Interference Channels via Deep Learning.
ISIT
Rajesh K. Mishra, Karl Chahine, Hyeji Kim, Syed Ali Jafar, Sriram Vishwanath
2021 J jnl
Gaussian Channels with Feedback: A Dynamic Programming Approach.
CoRR
Rajesh K. Mishra, Deepanshu Vasal, Hyeji Kim
2021 B conf
Linear Coding for AWGN Channels with Noisy Output Feedback via Dynamic Programming.
ISIT
Rajesh K. Mishra, Deepanshu Vasal, Hyeji Kim
2021 C conf
Live Demonstration: A Neural Processor for AI Acceleration.
ISCAS
Hyeji Kim, Jaehoon Chung, Kyoung-Seon Shin, Chun-Gi Lyuh, Hyun-Mi Kim, Chan Kim, Yong Cheol Peter Cho, Jeongmin Yang, Je-Seok Ham, Minseok Choi, Jinho Han, Youngsu Kwon
2021 J jnl
Neural Distributed Source Coding.
CoRR
Jay Whang, Anish Acharya, Hyeji Kim, Alexandros G. Dimakis
2021 J jnl
Turbo Autoencoder with a Trainable Interleaver.
CoRR
Karl Chahine, Yihan Jiang, Pooja Nuti, Hyeji Kim, Joonyoung Cho
2020 A* conf
BRP-NAS: Prediction-based NAS using GCNs.
NeurIPS
Lukasz Dudziak, Thomas Chau, Mohamed S. Abdelfattah, Royson Lee, Hyeji Kim, Nicholas D. Lane
2020 J jnl
BRP-NAS: Prediction-based NAS using GCNs.
CoRR
Thomas Chau, Lukasz Dudziak, Mohamed S. Abdelfattah, Royson Lee, Hyeji Kim, Nicholas D. Lane
2020 A* conf
Best of Both Worlds: AutoML Codesign of a CNN and its Hardware Accelerator.
DAC
Mohamed S. Abdelfattah, Lukasz Dudziak, Thomas Chau, Royson Lee, Hyeji Kim, Nicholas D. Lane
2020 J jnl
Best of Both Worlds: AutoML Codesign of a CNN and its Hardware Accelerator.
CoRR
Mohamed S. Abdelfattah, Lukasz Dudziak, Thomas Chau, Royson Lee, Hyeji Kim, Nicholas D. Lane
2020 A conf
ClovaCall: Korean Goal-Oriented Dialog Speech Corpus for Automatic Speech Recognition of Contact Centers.
INTERSPEECH
Jung-Woo Ha, Kihyun Nam, Jingu Kang, Sang-Woo Lee, Sohee Yang, Hyunhoon Jung, Hyeji Kim, Eunmi Kim, Soojin Kim, Hyun Ah Kim, Kyoungtae Doh, Chan Kyu Lee, Nako Sung, Sunghun Kim
2020 J jnl
ClovaCall: Korean Goal-Oriented Dialog Speech Corpus for Automatic Speech Recognition of Contact Centers.
CoRR
Jung-Woo Ha, Kihyun Nam, Jin-Gu Kang, Sang-Woo Lee, Sohee Yang, Hyunhoon Jung, Eunmi Kim, Hyeji Kim, Soojin Kim, Hyun Ah Kim, Kyoungtae Doh, Chan Kyu Lee, Sunghun Kim
2020 A conf
Codesign-NAS: Automatic FPGA/CNN Codesign Using Neural Architecture Search.
FPGA
Mohamed S. Abdelfattah, Lukasz Dudziak, Thomas Chau, Royson Lee, Hyeji Kim, Nicholas D. Lane
2020 J jnl
Deepcode and Modulo-SK are Designed for Different Settings.
CoRR
Hyeji Kim, Yihan Jiang, Sreeram Kannan, Sewoong Oh, Pramod Viswanath
2020 J jnl
Deepcode: Feedback Codes via Deep Learning.
IEEE J. Sel. Areas Inf. Theory
Hyeji Kim, Yihan Jiang, Sreeram Kannan, Sewoong Oh, Pramod Viswanath
2020 Misc conf
Feedback Turbo Autoencoder.
ICASSP
Yihan Jiang, Hyeji Kim, Himanshu Asnani, Sewoong Oh, Sreeram Kannan, Pramod Viswanath
2020 A conf
HAPI: Hardware-Aware Progressive Inference.
ICCAD
Stefanos Laskaridis, Stylianos I. Venieris, Hyeji Kim, Nicholas D. Lane
2020 J jnl
HAPI: Hardware-Aware Progressive Inference.
CoRR
Stefanos Laskaridis, Stylianos I. Venieris, Hyeji Kim, Nicholas D. Lane
2020 — conf
Joint Channel Coding and Modulation via Deep Learning.
SPAWC
Yihan Jiang, Hyeji Kim, Himanshu Asnani, Sreeram Kannan, Sewoong Oh, Pramod Viswanath
2020 — conf
Journey Towards Tiny Perceptual Super-Resolution.
ECCV (26)
Royson Lee, Lukasz Dudziak, Mohamed S. Abdelfattah, Stylianos I. Venieris, Hyeji Kim, Hongkai Wen, Nicholas D. Lane
2020 J jnl
Journey Towards Tiny Perceptual Super-Resolution.
CoRR
Royson Lee, Lukasz Dudziak, Mohamed S. Abdelfattah, Stylianos I. Venieris, Hyeji Kim, Hongkai Wen, Nicholas D. Lane
2020 J jnl
LEARN Codes: Inventing Low-Latency Codes via Recurrent Neural Networks.
IEEE J. Sel. Areas Inf. Theory
Yihan Jiang, Hyeji Kim, Himanshu Asnani, Sreeram Kannan, Sewoong Oh, Pramod Viswanath
2020 J jnl
Physical Layer Communication via Deep Learning.
IEEE J. Sel. Areas Inf. Theory
Hyeji Kim, Sewoong Oh, Pramod Viswanath
2020 J jnl
Stealth UAV through Coanda Effect.
CoRR
Dongyoon Shin, Hyeji Kim, Jihyuk Gong, Uijeong Jeong, Yeeun Jo, Eric Matson
2020 — conf
Stealth UAV through Coandă Effect.
IRC
Dongyoon Shin, Hyeji Kim, Jihyuk Gong, Uijeong Jeong, Yeeun Jo, Eric Matson
2020 — conf
Understanding Differences between Heavy Users and Light Users in Difficulties with Voice User Interfaces.
CIU
Hyunhoon Jung, Hyeji Kim, Jung-Woo Ha
2019 — conf
DEEPTURBO: Deep Turbo Decoder.
SPAWC
Yihan Jiang, Sreeram Kannan, Hyeji Kim, Sewoong Oh, Himanshu Asnani, Pramod Viswanath
2019 J jnl
DeepTurbo: Deep Turbo Decoder.
CoRR
Yihan Jiang, Hyeji Kim, Himanshu Asnani, Sreeram Kannan, Sewoong Oh, Pramod Viswanath
2019 A* conf
Efficient Neural Network Compression.
CVPR
Hyeji Kim, Muhammad Umar Karim Khan, Chong-Min Kyung
2019 — conf
Finding contextual meaning of the wake word.
CUI
Hyunhoon Jung, Hyeji Kim
2019 — conf
LEARN Codes: Inventing Low-Latency Codes via Recurrent Neural Networks.
ICC
Yihan Jiang, Hyeji Kim, Himanshu Asnani, Sreeram Kannan, Sewoong Oh, Pramod Viswanath
2019 — conf
MIND: Model Independent Neural Decoder.
SPAWC
Yihan Jiang, Hyeji Kim, Himanshu Asnani, Sreeram Kannan
2019 — conf
Scam Detection Assistant: Automated Protection from Scammers.
SA
Myeongsoo Kim, Changheon Song, Hyeji Kim, Deahyun Park, Yeeji Kwon, Eun Namkung, Ian G. Harris, Marcel Carlsson
2019 A* conf
Turbo Autoencoder: Deep learning based channel codes for point-to-point communication channels.
NeurIPS
Yihan Jiang, Hyeji Kim, Himanshu Asnani, Sreeram Kannan, Sewoong Oh, Pramod Viswanath
2019 J jnl
Turbo Autoencoder: Deep learning based channel codes for point-to-point communication channels.
CoRR
Yihan Jiang, Hyeji Kim, Himanshu Asnani, Sreeram Kannan, Sewoong Oh, Pramod Viswanath
2018 J jnl
A Framework for Fast and Efficient Neural Network Compression.
CoRR
Hyeji Kim, Muhammad Umar Karim Khan, Chong-Min Kyung
2018 J jnl
Automatic Rank Selection for High-Speed Convolutional Neural Network.
CoRR
Hyeji Kim, Chong-Min Kyung
2018 — conf
Communication Algorithms via Deep Learning.
ICLR (Poster)
Hyeji Kim, Yihan Jiang, Ranvir Rana, Sreeram Kannan, Sewoong Oh, Pramod Viswanath
2018 J jnl
Communication Algorithms via Deep Learning.
CoRR
Hyeji Kim, Yihan Jiang, Ranvir Rana, Sreeram Kannan, Sewoong Oh, Pramod Viswanath
2018 A* conf
Deepcode: Feedback Codes via Deep Learning.
NeurIPS
Hyeji Kim, Yihan Jiang, Sreeram Kannan, Sewoong Oh, Pramod Viswanath
2018 J jnl
Deepcode: Feedback Codes via Deep Learning.
CoRR
Hyeji Kim, Yihan Jiang, Sreeram Kannan, Sewoong Oh, Pramod Viswanath
2018 — conf
Dyadic Stance in Natural Language Communication with a Teachable Robot.
HRI (Companion)
Tricia Chaffey, Hyeji Kim, Emilia Nobrega, Nichola Lubold, Heather Pon-Barry
2018 J jnl
LEARN Codes: Inventing Low-latency Codes via Recurrent Neural Networks.
CoRR
Yihan Jiang, Hyeji Kim, Himanshu Asnani, Sreeram Kannan, Sewoong Oh, Pramod Viswanath
2018 — conf
Real-time depth map processor for offset aperture based single camera system.
ASP-DAC
Hyeji Kim, Jinyeon Lim, Yeongmin Lee, Woojin Yun, Young-Gyu Kim, Wonseok Choi, Asim Khan, Muhammad Umar Karim Khan, Said Homidov, Hyun Sang Park, Chong-Min Kyung
2017 — conf
Discovering Potential Correlations via Hypercontractivity.
NIPS
Hyeji Kim, Weihao Gao, Sreeram Kannan, Sewoong Oh, Pramod Viswanath
2017 J jnl
Discovering Potential Correlations via Hypercontractivity.
Entropy
Hyeji Kim, Weihao Gao, Sreeram Kannan, Sewoong Oh, Pramod Viswanath
2016 J jnl
Capacity Theorems for Broadcast Channels With Two Channel State Components Known at the Receivers.
IEEE Trans. Inf. Theory
Hyeji Kim, Abbas El Gamal
2016 B conf
On the optimality of randomized time division and superposition coding for the broadcast channel.
ITW
Chandra Nair, Hyeji Kim, Abbas El Gamal
2016 J jnl
Superposition Coding Is Almost Always Optimal for the Poisson Broadcast Channel.
IEEE Trans. Inf. Theory
Hyeji Kim, Benjamin Nachman, Abbas El Gamal
2015 J jnl
A Note on the Broadcast Channel With Stale State Information at the Transmitter.
IEEE Trans. Inf. Theory
Hyeji Kim, Yeow-Khiang Chia, Abbas El Gamal
2015 J jnl
Capacity Theorems for Broadcast Channels with Two Channel State Components Known at the Receivers.
CoRR
Hyeji Kim, Abbas El Gamal
2015 J jnl
Distributed CRC Architecture for High-Radix Parallel Turbo Decoding in LTE-Advanced Systems.
IEEE Trans. Circuits Syst. II Express Briefs
Hyeji Kim, Injun Choi, Wooseok Byun, Jong-Yeol Lee, Ji-Hoon Kim
2015 J jnl
Superposition Coding is Almost Always Optimal for the Poisson Broadcast Channel.
CoRR
Hyeji Kim, Benjamin Nachman, Abbas El Gamal
2015 B conf
Superposition coding is almost always optimal for the Poisson broadcast channel.
ISIT
Hyeji Kim, Benjamin Nachman, Abbas El Gamal
2014 J jnl
Capacity Region of the Broadcast Channel with Two Deterministic Channel State Components.
CoRR
Hyeji Kim, Abbas El Gamal
2014 B conf
Capacity region of the broadcast channel with two deterministic channel state components.
ISIT
Hyeji Kim, Abbas El Gamal
2013 J jnl
A Note on Broadcast Channels with Stale State Information at the Transmitter.
CoRR
Hyeji Kim, Yeow-Khiang Chia, Abbas El Gamal
2010 J jnl
Greedy Local Routing Strategy for Autonomous Global Load Balancing Based on Three-Dimensional Potential Field.
IEEE Commun. Lett.
Sangsu Jung, Jihoon Sung, Yonghwan Bang, Malaz Kserawi, Hyeji Kim, June-Koo Kevin Rhee