Greedy Local Routing Strategy for Autonomous Global Load Balancing Based on Three-Dimensional Potential Field. - Sangsu Jung; Jihoon Sung; Yonghwan Bang; Malaz Kserawi; Hyeji Kim; June-Koo Kevin Rhee (IEEE Commun. Lett., 2010)

A Note on Broadcast Channels with Stale State Information at the Transmitter. - Hyeji Kim; Yeow-Khiang Chia; Abbas El Gamal (CoRR, 2013)

Capacity region of the broadcast channel with two deterministic channel state components. - Hyeji Kim; Abbas El Gamal (ISIT, 2014)

Distributed CRC Architecture for High-Radix Parallel Turbo Decoding in LTE-Advanced Systems. - Hyeji Kim; Injun Choi; Wooseok Byun; Jong-Yeol Lee; Ji-Hoon Kim (IEEE Trans. Circuits Syst. II Express Briefs, 2015)

A Note on the Broadcast Channel With Stale State Information at the Transmitter. - Hyeji Kim; Yeow-Khiang Chia; Abbas El Gamal (IEEE Trans. Inf. Theory, 2015)

On the optimality of randomized time division and superposition coding for the broadcast channel. - Chandra Nair; Hyeji Kim; Abbas El Gamal (ITW, 2016)

Capacity Theorems for Broadcast Channels With Two Channel State Components Known at the Receivers. - Hyeji Kim; Abbas El Gamal (IEEE Trans. Inf. Theory, 2016)

Superposition Coding Is Almost Always Optimal for the Poisson Broadcast Channel. - Hyeji Kim; Benjamin Nachman; Abbas El Gamal (IEEE Trans. Inf. Theory, 2016)

Discovering Potential Correlations via Hypercontractivity. - Hyeji Kim; Weihao Gao; Sreeram Kannan; Sewoong Oh; Pramod Viswanath (Entropy, 2017)

Real-time depth map processor for offset aperture based single camera system. - Hyeji Kim; Jinyeon Lim; Yeongmin Lee; Woojin Yun; Young-Gyu Kim; Wonseok Choi 013; Asim Khan; Muhammad Umar Karim Khan; Said Homidov; Hyun Sang Park; Chong-Min Kyung (ASP-DAC, 2018)

Dyadic Stance in Natural Language Communication with a Teachable Robot. - Tricia Chaffey; Hyeji Kim; Emilia Nobrega; Nichola Lubold; Heather Pon-Barry (HRI (Companion), 2018)

Communication Algorithms via Deep Learning. - Hyeji Kim; Yihan Jiang; Ranvir Rana; Sreeram Kannan; Sewoong Oh; Pramod Viswanath (ICLR (Poster), 2018)

Automatic Rank Selection for High-Speed Convolutional Neural Network. - Hyeji Kim; Chong-Min Kyung (CoRR, 2018)

A Framework for Fast and Efficient Neural Network Compression. - Hyeji Kim; Muhammad Umar Karim Khan; Chong-Min Kyung (CoRR, 2018)

Finding contextual meaning of the wake word. - Hyunhoon Jung; Hyeji Kim (CUI, 2019)

Efficient Neural Network Compression. - Hyeji Kim; Muhammad Umar Karim Khan; Chong-Min Kyung (CVPR, 2019)

Turbo Autoencoder: Deep learning based channel codes for point-to-point communication channels. - Yihan Jiang; Hyeji Kim; Himanshu Asnani; Sreeram Kannan; Sewoong Oh; Pramod Viswanath (NeurIPS, 2019)

Scam Detection Assistant: Automated Protection from Scammers. - Myeongsoo Kim; Changheon Song; Hyeji Kim; Deahyun Park; Yeeji Kwon; Eun Namkung; Ian G. Harris; Marcel Carlsson (SA, 2019)

MIND: Model Independent Neural Decoder. - Yihan Jiang; Hyeji Kim; Himanshu Asnani; Sreeram Kannan (SPAWC, 2019)

DEEPTURBO: Deep Turbo Decoder. - Yihan Jiang; Sreeram Kannan; Hyeji Kim; Sewoong Oh; Himanshu Asnani; Pramod Viswanath (SPAWC, 2019)

Understanding Differences between Heavy Users and Light Users in Difficulties with Voice User Interfaces. - Hyunhoon Jung; Hyeji Kim; Jung-Woo Ha 001 (CIU, 2020)

Best of Both Worlds: AutoML Codesign of a CNN and its Hardware Accelerator. - Mohamed S. Abdelfattah; Lukasz Dudziak; Thomas Chau 001; Royson Lee; Hyeji Kim; Nicholas D. Lane (DAC, 2020)

Journey Towards Tiny Perceptual Super-Resolution. - Royson Lee; Lukasz Dudziak; Mohamed S. Abdelfattah; Stylianos I. Venieris; Hyeji Kim; Hongkai Wen 001; Nicholas D. Lane (ECCV (26), 2020)

Codesign-NAS: Automatic FPGA/CNN Codesign Using Neural Architecture Search. - Mohamed S. Abdelfattah; Lukasz Dudziak; Thomas Chau 001; Royson Lee; Hyeji Kim; Nicholas D. Lane (FPGA, 2020)

Feedback Turbo Autoencoder. - Yihan Jiang; Hyeji Kim; Himanshu Asnani; Sewoong Oh; Sreeram Kannan; Pramod Viswanath (ICASSP, 2020)

HAPI: Hardware-Aware Progressive Inference. - Stefanos Laskaridis; Stylianos I. Venieris; Hyeji Kim; Nicholas D. Lane (ICCAD, 2020)

ClovaCall: Korean Goal-Oriented Dialog Speech Corpus for Automatic Speech Recognition of Contact Centers. - Jung-Woo Ha 001; Kihyun Nam; Jingu Kang; Sang-Woo Lee 001; Sohee Yang; Hyunhoon Jung; Hyeji Kim; Eunmi Kim; Soojin Kim; Hyun Ah Kim; Kyoungtae Doh; Chan Kyu Lee; et al. (INTERSPEECH, 2020)

Stealth UAV through Coandă Effect. - Dongyoon Shin; Hyeji Kim; Jihyuk Gong; Uijeong Jeong; Yeeun Jo; Eric Matson (IRC, 2020)

BRP-NAS: Prediction-based NAS using GCNs. - Lukasz Dudziak; Thomas Chau 001; Mohamed S. Abdelfattah; Royson Lee; Hyeji Kim; Nicholas D. Lane (NeurIPS, 2020)

Joint Channel Coding and Modulation via Deep Learning. - Yihan Jiang; Hyeji Kim; Himanshu Asnani; Sreeram Kannan; Sewoong Oh; Pramod Viswanath (SPAWC, 2020)

ClovaCall: Korean Goal-Oriented Dialog Speech Corpus for Automatic Speech Recognition of Contact Centers. - Jung-Woo Ha 001; Kihyun Nam; Jin-Gu Kang; Sang-Woo Lee 001; Sohee Yang; Hyunhoon Jung; Eunmi Kim; Hyeji Kim; Soojin Kim; Hyun Ah Kim; Kyoungtae Doh; Chan Kyu Lee; et al. (CoRR, 2020)

Deepcode and Modulo-SK are Designed for Different Settings. - Hyeji Kim; Yihan Jiang; Sreeram Kannan; Sewoong Oh; Pramod Viswanath (CoRR, 2020)

LEARN Codes: Inventing Low-Latency Codes via Recurrent Neural Networks. - Yihan Jiang; Hyeji Kim; Himanshu Asnani; Sreeram Kannan; Sewoong Oh; Pramod Viswanath (IEEE J. Sel. Areas Inf. Theory, 2020)

Deepcode: Feedback Codes via Deep Learning. - Hyeji Kim; Yihan Jiang; Sreeram Kannan; Sewoong Oh; Pramod Viswanath (IEEE J. Sel. Areas Inf. Theory, 2020)

Physical Layer Communication via Deep Learning. - Hyeji Kim; Sewoong Oh; Pramod Viswanath (IEEE J. Sel. Areas Inf. Theory, 2020)

DeepIC: Coding for Interference Channels via Deep Learning. - Karl Chahine; Nanyang Ye 001; Hyeji Kim (GLOBECOM, 2021)

Live Demonstration: A Neural Processor for AI Acceleration. - 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 (ISCAS, 2021)

Distributed Interference Alignment for K-user Interference Channels via Deep Learning. - Rajesh K. Mishra; Karl Chahine; Hyeji Kim; Syed Ali Jafar; Sriram Vishwanath (ISIT, 2021)

A Channel Coding Benchmark for Meta-Learning. - Rui Li 052; Ondrej Bohdal; Rajesh K. Mishra; Hyeji Kim; Da Li 001; Nicholas D. Lane; Timothy M. Hospedales (NeurIPS Datasets and Benchmarks, 2021)

Gaussian Channels with Feedback: A Dynamic Programming Approach. - Rajesh K. Mishra; Deepanshu Vasal; Hyeji Kim (CoRR, 2021)

Neural Distributed Source Coding. - Jay Whang; Anish Acharya; Hyeji Kim; Alexandros G. Dimakis (CoRR, 2021)

Understanding the Negative Aspects of User Experience in Human-likeness of Voice-based Conversational Agents. - Hyeji Kim; Inchan Jung; Youn-Kyung Lim (Conference on Designing Interactive Systems, 2022)

M3FPU: Multiformat Matrix Multiplication FPU Architectures for Neural Network Computations. - 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 (AICAS, 2022)

Learning Variable-Rate Codes for CSI Feedback. - Heasung Kim; Hyeji Kim; Gustavo de Veciana (GLOBECOM, 2022)

Turbo Autoencoder with a Trainable Interleaver. - Karl Chahine; Yihan Jiang; Pooja Nuti; Hyeji Kim; Joonyoung Cho (ICC, 2022)

TinyTurbo: Efficient Turbo Decoders on Edge. - S. Ashwin Hebbar; Rajesh K. Mishra; Sravan Kumar Ankireddy; Ashok Vardhan Makkuva; Hyeji Kim; Pramod Viswanath (ISIT, 2022)

Neural Augmented Min-Sum Decoding of Short Block Codes for Fading Channels. - Sravan Kumar Ankireddy; Hyeji Kim (CoRR, 2022)

A High-Throughput Depth Estimation Processor for Accurate Semiglobal Stereo Matching Using Pipelined Inter-Pixel Aggregation. - Yeongmin Lee; Hyeji Kim (IEEE Trans. Circuits Syst. Video Technol., 2022)

Inventing Codes for Channels With Active Feedback via Deep Learning. - Karl Chahine; Rajesh K. Mishra; Hyeji Kim (IEEE J. Sel. Areas Inf. Theory, 2022)

Interpreting Neural Min-Sum Decoders. - Sravan Kumar Ankireddy; Hyeji Kim (ICC, 2023)

Compressed Error HARQ: Feedback Communication on Noise-Asymmetric Channels. - Sravan Kumar Ankireddy; S. Ashwin Hebbar; Yihan Jiang; Pramod Viswanath; Hyeji Kim (ISIT, 2023)

Task-aware Distributed Source Coding under Dynamic Bandwidth. - Po-han Li; Sravan Kumar Ankireddy; Ruihan Philip Zhao; Hossein Nourkhiz Mahjoub; Ehsan Moradi-Pari; Ufuk Topcu; Sandeep Chinchali; Hyeji Kim (NeurIPS, 2023)

Linear Coding for AWGN Channels With Noisy Output Feedback via Dynamic Programming. - Rajesh K. Mishra; Deepanshu Vasal; Hyeji Kim (IEEE Trans. Inf. Theory, 2023)

High Dimensional User-Specific Channel Generation for CSI Compression Using Diffusion Models. - Taekyun Lee; Juseong Park; Hyeji Kim; Jeffrey G. Andrews (IEEECONF, 2024)

Deep Learning-Based mmWave Beam Alignment with Only Pilot Channel Measurements. - Taekyun Lee; Hyeji Kim; Jeffrey G. Andrews (ICC, 2024)

Deep Learning-Based Autodetection of 5G NR mm Wave Waveforms. - Taekyun Lee; Abhinav Mahadevan; Hyeji Kim; Jeffrey G. Andrews (ICC, 2024)

DeepPolar: Inventing Nonlinear Large-Kernel Polar Codes via Deep Learning. - S. Ashwin Hebbar; Sravan Kumar Ankireddy; Hyeji Kim; Sewoong Oh; Pramod Viswanath (ICML, 2024)

Clustered Federated Learning via Gradient-based Partitioning. - Heasung Kim; Hyeji Kim; Gustavo de Veciana (ICML, 2024)

LASER: Linear Compression in Wireless Distributed Optimization. - Ashok Vardhan Makkuva; Marco Bondaschi; Thijs Vogels; Martin Jaggi; Hyeji Kim; Michael Gastpar (ICML, 2024)

Estimation of Rate- Distortion Function for Computing with Decoder Side Information. - Heasung Kim; Hyeji Kim; Gustavo de Veciana (ISIT, 2024)

Neural Cover Selection for Image Steganography. - Karl Chahine; Hyeji Kim (NeurIPS, 2024)

Local to Global: Learning Dynamics and Effect of Initialization for Transformers. - Ashok Vardhan Makkuva; Marco Bondaschi; Adway Girish; Alliot Nagle; Hyeji Kim; Michael Gastpar; Chanakya Ekbote (NeurIPS, 2024)

Fundamental Limits of Prompt Compression: A Rate-Distortion Framework for Black-Box Language Models. - Alliot Nagle; Adway Girish; Marco Bondaschi; Michael Gastpar; Ashok Vardhan Makkuva; Hyeji Kim (NeurIPS, 2024)

Attention with Markov: A Framework for Principled Analysis of Transformers via Markov Chains. - Ashok Vardhan Makkuva; Marco Bondaschi; Adway Girish; Alliot Nagle; Martin Jaggi; Hyeji Kim; Michael Gastpar (CoRR, 2024)

LIGHTCODE: Light Analytical and Neural Codes for Channels with Feedback. - Sravan Kumar Ankireddy; Krishna Narayanan; Hyeji Kim (CoRR, 2024)

Generating High Dimensional User-Specific Wireless Channels using Diffusion Models. - Taekyun Lee; Juseong Park; Hyeji Kim; Jeffrey G. Andrews (CoRR, 2024)

Neural Distributed Source Coding. - Jay Whang; Alliot Nagle; Anish Acharya; Hyeji Kim; Alexandros G. Dimakis (IEEE J. Sel. Areas Inf. Theory, 2024)

DeepIC+: Learning Codes for Interference Channels. - Karl Chahine; Yihan Jiang; Joonyoung Cho; Hyeji Kim (IEEE Trans. Wirel. Commun., 2024)

Augmented Educators and AI: Shaping the Future of Human-AI Collaboration in Learning. - Hyeji Kim; Jongyoul Park; Hyeongbae Jeon; Sidney S. Fels; Samuel Dodson; Kyoungwon Seo (CHI Extended Abstracts, 2025)

Attention with Markov: A Curious Case of Single-layer Transformers. - Ashok Vardhan Makkuva; Marco Bondaschi; Adway Girish; Alliot Nagle; Martin Jaggi; Hyeji Kim; Michael Gastpar (ICLR, 2025)

Importance Sampling via Score-based Generative Models. - Heasung Kim; Taekyun Lee; Hyeji Kim; Gustavo de Veciana (CoRR, 2025)

Generative Diffusion Model-based Compression of MIMO CSI. - Heasung Kim; Taekyun Lee; Hyeji Kim; Gustavo de Veciana; Mohamed Amine Arfaoui; Asil Koç; Philip Pietraski; Guodong Zhang; John Kaewell (CoRR, 2025)

Light Code: Light Analytical and Neural Codes for Channels With Feedback. - Sravan Kumar Ankireddy; Krishna R. Narayanan; Hyeji Kim (IEEE J. Sel. Areas Commun., 2025)

Residual Diffusion Models for Variable-Rate Joint Source Channel Coding of MIMO CSI. - Sravan Kumar Ankireddy; Heasung Kim; Hyeji Kim (CoRR, 2025)

Deep-OFDM: Neural Modulation for High Mobility. - Sravan Kumar Ankireddy; S. Ashwin Hebbar; Pramod Viswanath; Hyeji Kim (CoRR, 2025)

Fundamental Limits to Exploiting Side Information for CSI Feedback in Wireless Systems. - Heasung Kim; Gustavo de Veciana; Hyeji Kim (IEEE J. Sel. Areas Commun., 2025)

Enhancing K-User Interference Alignment for Discrete Constellations via Learning. - Rajesh K. Mishra; Syed Ali Jafar; Sriram Vishwanath; Hyeji Kim (IEEE J. Sel. Areas Commun., 2025)