Hyeji Kim

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 76

Top Topics

Distributed Source Coding

Top Venues

IEEE J. Sel. Areas Inf. Theory

Publications

Sravan Kumar Ankireddy, Krishna Narayanan, Hyeji Kim
LIGHTCODE: Light Analytical and Neural Codes for Channels with Feedback. CoRR (2024)
Jay Whang, Alliot Nagle, Anish Acharya, Hyeji Kim, Alexandros G. Dimakis
Neural Distributed Source Coding. IEEE J. Sel. Areas Inf. Theory 5 (2024)
Ashok Vardhan Makkuva, Marco Bondaschi, Adway Girish, Alliot Nagle, Martin Jaggi, Hyeji Kim, Michael Gastpar
Attention with Markov: A Framework for Principled Analysis of Transformers via Markov Chains. CoRR (2024)
Karl Chahine, Yihan Jiang, Joonyoung Cho, Hyeji Kim
DeepIC+: Learning Codes for Interference Channels. IEEE Trans. Wirel. Commun. 23 (4) (2024)
Adway Girish, Alliot Nagle, Marco Bondaschi, Michael Gastpar, Ashok Vardhan Makkuva, Hyeji Kim
Fundamental Limits of Prompt Compression: A Rate-Distortion Framework for Black-Box Language Models. CoRR (2024)
S. Ashwin Hebbar, Sravan Kumar Ankireddy, Hyeji Kim, Sewoong Oh, Pramod Viswanath
DeepPolar: Inventing Nonlinear Large-Kernel Polar Codes via Deep Learning. CoRR (2024)
Ashok Vardhan Makkuva, Marco Bondaschi, Chanakya Ekbote, Adway Girish, Alliot Nagle, Hyeji Kim, Michael Gastpar
Local to Global: Learning Dynamics and Effect of Initialization for Transformers. CoRR (2024)
Sravan Kumar Ankireddy, Hyeji Kim
Interpreting Neural Min-Sum Decoders. ICC (2023)
Ashok Vardhan Makkuva, Marco Bondaschi, Thijs Vogels, Martin Jaggi, Hyeji Kim, Michael C. Gastpar
LASER: Linear Compression in Wireless Distributed Optimization. CoRR (2023)
Sravan Kumar Ankireddy, S. Ashwin Hebbar, Yihan Jiang, Hyeji Kim, Pramod Viswanath
Compressed Error HARQ: Feedback Communication on Noise-Asymmetric Channels. CoRR (2023)
Sravan Kumar Ankireddy, S. Ashwin Hebbar, Yihan Jiang, Pramod Viswanath, Hyeji Kim
Compressed Error HARQ: Feedback Communication on Noise-Asymmetric Channels. ISIT (2023)
Po-han Li, Sravan Kumar Ankireddy, Ruihan Zhao, Hossein Nourkhiz Mahjoub, Ehsan Moradi-Pari, Ufuk Topcu, Sandeep Chinchali, Hyeji Kim
Task-aware Distributed Source Coding under Dynamic Bandwidth. CoRR (2023)
Po-han Li, Sravan Kumar Ankireddy, Ruihan Philip Zhao, Hossein Nourkhiz Mahjoub, Ehsan Moradi-Pari, Ufuk Topcu, Sandeep Chinchali, Hyeji Kim
Task-aware Distributed Source Coding under Dynamic Bandwidth. NeurIPS (2023)
Rajesh K. Mishra, Deepanshu Vasal, Hyeji Kim
Linear Coding for AWGN Channels With Noisy Output Feedback via Dynamic Programming. IEEE Trans. Inf. Theory 69 (8) (2023)
Karl Chahine, Rajesh K. Mishra, Hyeji Kim
Inventing Codes for Channels With Active Feedback via Deep Learning. IEEE J. Sel. Areas Inf. Theory 3 (3) (2022)
Sravan Kumar Ankireddy, Hyeji Kim
Neural Augmented Min-Sum Decoding of Short Block Codes for Fading Channels. CoRR (2022)
Yeongmin Lee, Hyeji Kim
A High-Throughput Depth Estimation Processor for Accurate Semiglobal Stereo Matching Using Pipelined Inter-Pixel Aggregation. IEEE Trans. Circuits Syst. Video Technol. 32 (1) (2022)
S. Ashwin Hebbar, Rajesh K. Mishra, Sravan Kumar Ankireddy, Ashok Vardhan Makkuva, Hyeji Kim, Pramod Viswanath
TinyTurbo: Efficient Turbo Decoders on Edge. ISIT (2022)
Heasung Kim, Hyeji Kim, Gustavo de Veciana
Learning Variable-Rate Codes for CSI Feedback. GLOBECOM (2022)
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
M3FPU: Multiformat Matrix Multiplication FPU Architectures for Neural Network Computations. AICAS (2022)
Karl Chahine, Yihan Jiang, Pooja Nuti, Hyeji Kim, Joonyoung Cho
Turbo Autoencoder with a Trainable Interleaver. ICC (2022)
Hyeji Kim, Inchan Jung, Youn-Kyung Lim
Understanding the Negative Aspects of User Experience in Human-likeness of Voice-based Conversational Agents. Conference on Designing Interactive Systems (2022)
S. Ashwin Hebbar, Rajesh K. Mishra, Sravan Kumar Ankireddy, Ashok Vardhan Makkuva, Hyeji Kim, Pramod Viswanath
TinyTurbo: Efficient Turbo Decoders on Edge. CoRR (2022)
Rajesh K. Mishra, Deepanshu Vasal, Hyeji Kim
Linear Coding for AWGN Channels with Noisy Output Feedback via Dynamic Programming. ISIT (2021)
Karl Chahine, Yihan Jiang, Pooja Nuti, Hyeji Kim, Joonyoung Cho
Turbo Autoencoder with a Trainable Interleaver. CoRR (2021)
Rajesh K. Mishra, Karl Chahine, Hyeji Kim, Syed Ali Jafar, Sriram Vishwanath
Distributed Interference Alignment for K-user Interference Channels via Deep Learning. ISIT (2021)
Karl Chahine, Nanyang Ye, Hyeji Kim
DeepIC: Coding for Interference Channels via Deep Learning. GLOBECOM (2021)
Rui Li, Ondrej Bohdal, Rajesh K. Mishra, Hyeji Kim, Da Li, Nicholas D. Lane, Timothy M. Hospedales
A Channel Coding Benchmark for Meta-Learning. CoRR (2021)
Jay Whang, Anish Acharya, Hyeji Kim, Alexandros G. Dimakis
Neural Distributed Source Coding. CoRR (2021)
Karl Chahine, Nanyang Ye, Hyeji Kim
DeepIC: Coding for Interference Channels via Deep Learning. CoRR (2021)
Rui Li, Ondrej Bohdal, Rajesh K. Mishra, Hyeji Kim, Da Li, Nicholas D. Lane, Timothy M. Hospedales
A Channel Coding Benchmark for Meta-Learning. NeurIPS Datasets and Benchmarks (2021)
Rajesh K. Mishra, Deepanshu Vasal, Hyeji Kim
Gaussian Channels with Feedback: A Dynamic Programming Approach. CoRR (2021)
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
Live Demonstration: A Neural Processor for AI Acceleration. ISCAS (2021)
Stefanos Laskaridis, Stylianos I. Venieris, Hyeji Kim, Nicholas D. Lane
HAPI: Hardware-Aware Progressive Inference. CoRR (2020)
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
ClovaCall: Korean Goal-Oriented Dialog Speech Corpus for Automatic Speech Recognition of Contact Centers. CoRR (2020)
Stefanos Laskaridis, Stylianos I. Venieris, Hyeji Kim, Nicholas D. Lane
HAPI: Hardware-Aware Progressive Inference. ICCAD (2020)
Mohamed S. Abdelfattah, Lukasz Dudziak, Thomas C. P. Chau, Royson Lee, Hyeji Kim, Nicholas D. Lane
Best of Both Worlds: AutoML Codesign of a CNN and its Hardware Accelerator. CoRR (2020)
Hyeji Kim, Sewoong Oh, Pramod Viswanath
Physical Layer Communication via Deep Learning. IEEE J. Sel. Areas Inf. Theory 1 (1) (2020)
Dongyoon Shin, Hyeji Kim, Jihyuk Gong, Uijeong Jeong, Yeeun Jo, Eric Matson
Stealth UAV through Coanda Effect. CoRR (2020)
Thomas C. P. Chau, Lukasz Dudziak, Mohamed S. Abdelfattah, Royson Lee, Hyeji Kim, Nicholas D. Lane
BRP-NAS: Prediction-based NAS using GCNs. CoRR (2020)
Lukasz Dudziak, Thomas C. P. Chau, Mohamed S. Abdelfattah, Royson Lee, Hyeji Kim, Nicholas D. Lane
BRP-NAS: Prediction-based NAS using GCNs. NeurIPS (2020)
Royson Lee, Lukasz Dudziak, Mohamed S. Abdelfattah, Stylianos I. Venieris, Hyeji Kim, Hongkai Wen, Nicholas D. Lane
Journey Towards Tiny Perceptual Super-Resolution. CoRR (2020)
Royson Lee, Lukasz Dudziak, Mohamed S. Abdelfattah, Stylianos I. Venieris, Hyeji Kim, Hongkai Wen, Nicholas D. Lane
Journey Towards Tiny Perceptual Super-Resolution. ECCV (26) (2020)
Hyeji Kim, Yihan Jiang, Sreeram Kannan, Sewoong Oh, Pramod Viswanath
Deepcode and Modulo-SK are Designed for Different Settings. CoRR (2020)
Mohamed S. Abdelfattah, Lukasz Dudziak, Thomas C. P. Chau, Royson Lee, Hyeji Kim, Nicholas D. Lane
Codesign-NAS: Automatic FPGA/CNN Codesign Using Neural Architecture Search. FPGA (2020)
Hyeji Kim, Yihan Jiang, Sreeram Kannan, Sewoong Oh, Pramod Viswanath
Deepcode: Feedback Codes via Deep Learning. IEEE J. Sel. Areas Inf. Theory 1 (1) (2020)
Yihan Jiang, Hyeji Kim, Himanshu Asnani, Sewoong Oh, Sreeram Kannan, Pramod Viswanath
Feedback Turbo Autoencoder. ICASSP (2020)
Dongyoon Shin, Hyeji Kim, Jihyuk Gong, Uijeong Jeong, Yeeun Jo, Eric Matson
Stealth UAV through Coandă Effect. IRC (2020)
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
ClovaCall: Korean Goal-Oriented Dialog Speech Corpus for Automatic Speech Recognition of Contact Centers. INTERSPEECH (2020)
Yihan Jiang, Hyeji Kim, Himanshu Asnani, Sreeram Kannan, Sewoong Oh, Pramod Viswanath
LEARN Codes: Inventing Low-Latency Codes via Recurrent Neural Networks. IEEE J. Sel. Areas Inf. Theory 1 (1) (2020)
Hyunhoon Jung, Hyeji Kim, Jung-Woo Ha
Understanding Differences between Heavy Users and Light Users in Difficulties with Voice User Interfaces. CIU (2020)
Yihan Jiang, Hyeji Kim, Himanshu Asnani, Sreeram Kannan, Sewoong Oh, Pramod Viswanath
Joint Channel Coding and Modulation via Deep Learning. SPAWC (2020)
Mohamed S. Abdelfattah, Lukasz Dudziak, Thomas C. P. Chau, Royson Lee, Hyeji Kim, Nicholas D. Lane
Best of Both Worlds: AutoML Codesign of a CNN and its Hardware Accelerator. DAC (2020)
Myeongsoo Kim, Changheon Song, Hyeji Kim, Deahyun Park, Yeeji Kwon, Eun Namkung, Ian G. Harris, Marcel Carlsson
Scam Detection Assistant: Automated Protection from Scammers. SA (2019)
Yihan Jiang, Hyeji Kim, Himanshu Asnani, Sreeram Kannan, Sewoong Oh, Pramod Viswanath
Turbo Autoencoder: Deep learning based channel codes for point-to-point communication channels. CoRR (2019)
Hyunhoon Jung, Hyeji Kim
Finding contextual meaning of the wake word. CUI (2019)
Hyeji Kim, Muhammad Umar Karim Khan, Chong-Min Kyung
Efficient Neural Network Compression. CVPR (2019)
Yihan Jiang, Sreeram Kannan, Hyeji Kim, Sewoong Oh, Himanshu Asnani, Pramod Viswanath
DEEPTURBO: Deep Turbo Decoder. SPAWC (2019)
Yihan Jiang, Hyeji Kim, Himanshu Asnani, Sreeram Kannan
MIND: Model Independent Neural Decoder. SPAWC (2019)
Yihan Jiang, Hyeji Kim, Himanshu Asnani, Sreeram Kannan, Sewoong Oh, Pramod Viswanath
Turbo Autoencoder: Deep learning based channel codes for point-to-point communication channels. NeurIPS (2019)
Yihan Jiang, Hyeji Kim, Himanshu Asnani, Sreeram Kannan, Sewoong Oh, Pramod Viswanath
LEARN Codes: Inventing Low-Latency Codes via Recurrent Neural Networks. ICC (2019)
Yihan Jiang, Hyeji Kim, Himanshu Asnani, Sreeram Kannan, Sewoong Oh, Pramod Viswanath
DeepTurbo: Deep Turbo Decoder. CoRR (2019)
Hyeji Kim, Muhammad Umar Karim Khan, Chong-Min Kyung
A Framework for Fast and Efficient Neural Network Compression. CoRR (2018)
Hyeji Kim, Yihan Jiang, Sreeram Kannan, Sewoong Oh, Pramod Viswanath
Deepcode: Feedback Codes via Deep Learning. NeurIPS (2018)
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
Real-time depth map processor for offset aperture based single camera system. ASP-DAC (2018)
Hyeji Kim, Yihan Jiang, Ranvir Rana, Sreeram Kannan, Sewoong Oh, Pramod Viswanath
Communication Algorithms via Deep Learning. ICLR (Poster) (2018)
Hyeji Kim, Yihan Jiang, Ranvir Rana, Sreeram Kannan, Sewoong Oh, Pramod Viswanath
Communication Algorithms via Deep Learning. CoRR (2018)
Hyeji Kim, Chong-Min Kyung
Automatic Rank Selection for High-Speed Convolutional Neural Network. CoRR (2018)
Tricia Chaffey, Hyeji Kim, Emilia Nobrega, Nichola Lubold, Heather Pon-Barry
Dyadic Stance in Natural Language Communication with a Teachable Robot. HRI (Companion) (2018)
Yihan Jiang, Hyeji Kim, Himanshu Asnani, Sreeram Kannan, Sewoong Oh, Pramod Viswanath
LEARN Codes: Inventing Low-latency Codes via Recurrent Neural Networks. CoRR (2018)
Hyeji Kim, Yihan Jiang, Sreeram Kannan, Sewoong Oh, Pramod Viswanath
Deepcode: Feedback Codes via Deep Learning. CoRR (2018)
Hyeji Kim, Weihao Gao, Sreeram Kannan, Sewoong Oh, Pramod Viswanath
Discovering Potential Correlations via Hypercontractivity. Entropy 19 (11) (2017)
Hyeji Kim, Weihao Gao, Sreeram Kannan, Sewoong Oh, Pramod Viswanath
Discovering Potential Correlations via Hypercontractivity. NIPS (2017)
Chandra Nair, Hyeji Kim, Abbas El Gamal
On the optimality of randomized time division and superposition coding for the broadcast channel. ITW (2016)
Hyeji Kim, Benjamin Nachman, Abbas El Gamal
Superposition Coding Is Almost Always Optimal for the Poisson Broadcast Channel. IEEE Trans. Inf. Theory 62 (4) (2016)
Hyeji Kim, Abbas El Gamal
Capacity Theorems for Broadcast Channels With Two Channel State Components Known at the Receivers. IEEE Trans. Inf. Theory 62 (12) (2016)
Hyeji Kim, Injun Choi, Wooseok Byun, Jong-Yeol Lee, Ji-Hoon Kim
Distributed CRC Architecture for High-Radix Parallel Turbo Decoding in LTE-Advanced Systems. IEEE Trans. Circuits Syst. II Express Briefs (9) (2015)
Hyeji Kim, Benjamin Nachman, Abbas El Gamal
Superposition Coding is Almost Always Optimal for the Poisson Broadcast Channel. CoRR (2015)
Hyeji Kim, Benjamin Nachman, Abbas El Gamal
Superposition coding is almost always optimal for the Poisson broadcast channel. ISIT (2015)
Hyeji Kim, Abbas El Gamal
Capacity Theorems for Broadcast Channels with Two Channel State Components Known at the Receivers. CoRR (2015)
Hyeji Kim, Yeow-Khiang Chia, Abbas El Gamal
A Note on the Broadcast Channel With Stale State Information at the Transmitter. IEEE Trans. Inf. Theory 61 (7) (2015)
Hyeji Kim, Abbas El Gamal
Capacity Region of the Broadcast Channel with Two Deterministic Channel State Components. CoRR (2014)
Hyeji Kim, Abbas El Gamal
Capacity region of the broadcast channel with two deterministic channel state components. ISIT (2014)
Hyeji Kim, Yeow-Khiang Chia, Abbas El Gamal
A Note on Broadcast Channels with Stale State Information at the Transmitter. CoRR (2013)
Sangsu Jung, Jihoon Sung, Yonghwan Bang, Malaz Kserawi, Hyeji Kim, June-Koo Kevin Rhee
Greedy Local Routing Strategy for Autonomous Global Load Balancing Based on Three-Dimensional Potential Field. IEEE Commun. Lett. 14 (9) (2010)