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2020 – today
- 2024
[j14]Jay Whang
, Alliot Nagle, Anish Acharya, Hyeji Kim, Alexandros G. Dimakis:
Neural Distributed Source Coding. IEEE J. Sel. Areas Inf. Theory 5: 493-508 (2024)- [j13]Karl Chahine, Yihan Jiang, Joonyoung Cho, Hyeji Kim:
DeepIC+: Learning Codes for Interference Channels. IEEE Trans. Wirel. Commun. 23(4): 2740-2754 (2024) - [c47]Taekyun Lee, Abhinav Mahadevan, Hyeji Kim, Jeffrey G. Andrews:
Deep Learning-Based Autodetection of 5G NR mm Wave Waveforms. ICC 2024: 1625-1630 - [c46]Taekyun Lee, Hyeji Kim, Jeffrey G. Andrews:
Deep Learning-Based mmWave Beam Alignment with Only Pilot Channel Measurements. ICC 2024: 5305-5310 - [c45]S. Ashwin Hebbar, Sravan Kumar Ankireddy, Hyeji Kim, Sewoong Oh, Pramod Viswanath:
DeepPolar: Inventing Nonlinear Large-Kernel Polar Codes via Deep Learning. ICML 2024 - [c44]Heasung Kim, Hyeji Kim, Gustavo de Veciana:
Clustered Federated Learning via Gradient-based Partitioning. ICML 2024 - [c43]Ashok Vardhan Makkuva, Marco Bondaschi, Thijs Vogels, Martin Jaggi, Hyeji Kim, Michael Gastpar:
LASER: Linear Compression in Wireless Distributed Optimization. ICML 2024 - [c42]Heasung Kim, Hyeji Kim, Gustavo de Veciana:
Estimation of Rate- Distortion Function for Computing with Decoder Side Information. ISIT 2024: 422-427 - [c41]Karl Chahine, Hyeji Kim:
Neural Cover Selection for Image Steganography. NeurIPS 2024 - [c40]Ashok Vardhan Makkuva, Marco Bondaschi, Adway Girish, Alliot Nagle, Hyeji Kim, Michael Gastpar, Chanakya Ekbote:
Local to Global: Learning Dynamics and Effect of Initialization for Transformers. NeurIPS 2024 - [c39]Alliot Nagle, Adway Girish, Marco Bondaschi, Michael Gastpar, Ashok Vardhan Makkuva, Hyeji Kim:
Fundamental Limits of Prompt Compression: A Rate-Distortion Framework for Black-Box Language Models. NeurIPS 2024 - [i35]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 abs/2402.04161 (2024) - [i34]S. Ashwin Hebbar, Sravan Kumar Ankireddy, Hyeji Kim, Sewoong Oh, Pramod Viswanath:
DeepPolar: Inventing Nonlinear Large-Kernel Polar Codes via Deep Learning. CoRR abs/2402.08864 (2024) - [i33]Sravan Kumar Ankireddy, Krishna Narayanan, Hyeji Kim:
LIGHTCODE: Light Analytical and Neural Codes for Channels with Feedback. CoRR abs/2403.10751 (2024) - [i32]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 abs/2406.03072 (2024) - [i31]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 abs/2407.15504 (2024) - [i30]Taekyun Lee, Juseong Park, Hyeji Kim, Jeffrey G. Andrews:
Generating High Dimensional User-Specific Wireless Channels using Diffusion Models. CoRR abs/2409.03924 (2024) - [i29]Karl Chahine, Hyeji Kim:
Neural Cover Selection for Image Steganography. CoRR abs/2410.18216 (2024) - 2023
- [j12]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): 4889-4906 (2023) - [c38]Sravan Kumar Ankireddy, Hyeji Kim:
Interpreting Neural Min-Sum Decoders. ICC 2023: 6645-6651 - [c37]Sravan Kumar Ankireddy, S. Ashwin Hebbar, Yihan Jiang, Pramod Viswanath, Hyeji Kim:
Compressed Error HARQ: Feedback Communication on Noise-Asymmetric Channels. ISIT 2023: 1160-1165 - [c36]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 - [i28]Sravan Kumar Ankireddy, S. Ashwin Hebbar, Yihan Jiang, Hyeji Kim, Pramod Viswanath:
Compressed Error HARQ: Feedback Communication on Noise-Asymmetric Channels. CoRR abs/2302.10170 (2023) - [i27]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 abs/2305.15523 (2023) - [i26]Ashok Vardhan Makkuva, Marco Bondaschi, Thijs Vogels, Martin Jaggi, Hyeji Kim, Michael C. Gastpar:
LASER: Linear Compression in Wireless Distributed Optimization. CoRR abs/2310.13033 (2023) - 2022
- [j11]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): 574-586 (2022) - [j10]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): 411-422 (2022) - [c35]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: 1418-1427 - [c34]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: 150-153 - [c33]Heasung Kim, Hyeji Kim, Gustavo de Veciana:
Learning Variable-Rate Codes for CSI Feedback. GLOBECOM 2022: 1435-1441 - [c32]Karl Chahine, Yihan Jiang, Pooja Nuti, Hyeji Kim, Joonyoung Cho:
Turbo Autoencoder with a Trainable Interleaver. ICC 2022: 3886-3891 - [c31]S. Ashwin Hebbar, Rajesh K. Mishra, Sravan Kumar Ankireddy, Ashok Vardhan Makkuva, Hyeji Kim, Pramod Viswanath:
TinyTurbo: Efficient Turbo Decoders on Edge. ISIT 2022: 2797-2802 - [i25]Sravan Kumar Ankireddy, Hyeji Kim:
Neural Augmented Min-Sum Decoding of Short Block Codes for Fading Channels. CoRR abs/2205.10684 (2022) - [i24]S. Ashwin Hebbar, Rajesh K. Mishra, Sravan Kumar Ankireddy, Ashok Vardhan Makkuva, Hyeji Kim, Pramod Viswanath:
TinyTurbo: Efficient Turbo Decoders on Edge. CoRR abs/2209.15614 (2022) - 2021
- [c30]Karl Chahine, Nanyang Ye, Hyeji Kim:
DeepIC: Coding for Interference Channels via Deep Learning. GLOBECOM 2021: 1-6 - [c29]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: 1 - [c28]Rajesh K. Mishra, Deepanshu Vasal, Hyeji Kim:
Linear Coding for AWGN Channels with Noisy Output Feedback via Dynamic Programming. ISIT 2021: 13-18 - [c27]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: 2614-2619 - [c26]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 - [i23]Rajesh K. Mishra, Deepanshu Vasal, Hyeji Kim:
Gaussian Channels with Feedback: A Dynamic Programming Approach. CoRR abs/2103.10807 (2021) - [i22]Jay Whang, Anish Acharya, Hyeji Kim, Alexandros G. Dimakis:
Neural Distributed Source Coding. CoRR abs/2106.02797 (2021) - [i21]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 abs/2107.07579 (2021) - [i20]Karl Chahine, Nanyang Ye, Hyeji Kim:
DeepIC: Coding for Interference Channels via Deep Learning. CoRR abs/2108.06028 (2021) - [i19]Karl Chahine, Yihan Jiang, Pooja Nuti, Hyeji Kim, Joonyoung Cho:
Turbo Autoencoder with a Trainable Interleaver. CoRR abs/2111.11410 (2021) - 2020
- [j9]Hyeji Kim, Sewoong Oh, Pramod Viswanath:
Physical Layer Communication via Deep Learning. IEEE J. Sel. Areas Inf. Theory 1(1): 5-18 (2020) - [j8]Hyeji Kim, Yihan Jiang, Sreeram Kannan, Sewoong Oh, Pramod Viswanath:
Deepcode: Feedback Codes via Deep Learning. IEEE J. Sel. Areas Inf. Theory 1(1): 194-206 (2020) - [j7]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): 207-216 (2020) - [c25]Hyunhoon Jung, Hyeji Kim, Jung-Woo Ha:
Understanding Differences between Heavy Users and Light Users in Difficulties with Voice User Interfaces. CIU 2020: 51:1-51:4 - [c24]Mohamed S. Abdelfattah, Lukasz Dudziak, Thomas Chau, Royson Lee, Hyeji Kim, Nicholas D. Lane:
Best of Both Worlds: AutoML Codesign of a CNN and its Hardware Accelerator. DAC 2020: 1-6 - [c23]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: 85-102 - [c22]Mohamed S. Abdelfattah, Lukasz Dudziak, Thomas Chau, Royson Lee, Hyeji Kim, Nicholas D. Lane:
Codesign-NAS: Automatic FPGA/CNN Codesign Using Neural Architecture Search. FPGA 2020: 315 - [c21]Yihan Jiang, Hyeji Kim, Himanshu Asnani, Sewoong Oh, Sreeram Kannan, Pramod Viswanath:
Feedback Turbo Autoencoder. ICASSP 2020: 8559-8563 - [c20]Stefanos Laskaridis, Stylianos I. Venieris, Hyeji Kim, Nicholas D. Lane:
HAPI: Hardware-Aware Progressive Inference. ICCAD 2020: 91:1-91:9 - [c19]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: 409-413 - [c18]Dongyoon Shin, Hyeji Kim, Jihyuk Gong, Uijeong Jeong, Yeeun Jo, Eric Matson:
Stealth UAV through Coandă Effect. IRC 2020: 202-209 - [c17]Lukasz Dudziak, Thomas Chau, Mohamed S. Abdelfattah, Royson Lee, Hyeji Kim, Nicholas D. Lane:
BRP-NAS: Prediction-based NAS using GCNs. NeurIPS 2020 - [c16]Yihan Jiang, Hyeji Kim, Himanshu Asnani, Sreeram Kannan, Sewoong Oh, Pramod Viswanath:
Joint Channel Coding and Modulation via Deep Learning. SPAWC 2020: 1-5 - [i18]Mohamed S. Abdelfattah, Lukasz Dudziak, Thomas Chau, Royson Lee, Hyeji Kim, Nicholas D. Lane:
Best of Both Worlds: AutoML Codesign of a CNN and its Hardware Accelerator. CoRR abs/2002.05022 (2020) - [i17]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 abs/2004.09367 (2020) - [i16]Dongyoon Shin, Hyeji Kim, Jihyuk Gong, Uijeong Jeong, Yeeun Jo, Eric Matson:
Stealth UAV through Coanda Effect. CoRR abs/2005.14629 (2020) - [i15]Royson Lee, Lukasz Dudziak, Mohamed S. Abdelfattah, Stylianos I. Venieris, Hyeji Kim, Hongkai Wen, Nicholas D. Lane:
Journey Towards Tiny Perceptual Super-Resolution. CoRR abs/2007.04356 (2020) - [i14]Thomas Chau, Lukasz Dudziak, Mohamed S. Abdelfattah, Royson Lee, Hyeji Kim, Nicholas D. Lane:
BRP-NAS: Prediction-based NAS using GCNs. CoRR abs/2007.08668 (2020) - [i13]Stefanos Laskaridis, Stylianos I. Venieris, Hyeji Kim, Nicholas D. Lane:
HAPI: Hardware-Aware Progressive Inference. CoRR abs/2008.03997 (2020) - [i12]Hyeji Kim, Yihan Jiang, Sreeram Kannan, Sewoong Oh, Pramod Viswanath:
Deepcode and Modulo-SK are Designed for Different Settings. CoRR abs/2008.07997 (2020)
2010 – 2019
- 2019
- [c15]Hyunhoon Jung, Hyeji Kim:
Finding contextual meaning of the wake word. CUI 2019: 5:1-5:3 - [c14]Hyeji Kim, Muhammad Umar Karim Khan, Chong-Min Kyung:
Efficient Neural Network Compression. CVPR 2019: 12569-12577 - [c13]Yihan Jiang, Hyeji Kim, Himanshu Asnani, Sreeram Kannan, Sewoong Oh, Pramod Viswanath:
LEARN Codes: Inventing Low-Latency Codes via Recurrent Neural Networks. ICC 2019: 1-7 - [c12]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: 2754-2764 - [c11]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: 1-8 - [c10]Yihan Jiang, Hyeji Kim, Himanshu Asnani, Sreeram Kannan:
MIND: Model Independent Neural Decoder. SPAWC 2019: 1-5 - [c9]Yihan Jiang, Sreeram Kannan, Hyeji Kim, Sewoong Oh, Himanshu Asnani, Pramod Viswanath:
DEEPTURBO: Deep Turbo Decoder. SPAWC 2019: 1-5 - [i11]Yihan Jiang, Hyeji Kim, Himanshu Asnani, Sreeram Kannan, Sewoong Oh, Pramod Viswanath:
DeepTurbo: Deep Turbo Decoder. CoRR abs/1903.02295 (2019) - [i10]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 abs/1911.03038 (2019) - 2018
- [c8]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: 293-294 - [c7]Tricia Chaffey, Hyeji Kim, Emilia Nobrega, Nichola Lubold, Heather Pon-Barry:
Dyadic Stance in Natural Language Communication with a Teachable Robot. HRI (Companion) 2018: 85-86 - [c6]Hyeji Kim, Yihan Jiang, Ranvir Rana, Sreeram Kannan, Sewoong Oh, Pramod Viswanath:
Communication Algorithms via Deep Learning. ICLR (Poster) 2018 - [c5]Hyeji Kim, Yihan Jiang, Sreeram Kannan, Sewoong Oh, Pramod Viswanath:
Deepcode: Feedback Codes via Deep Learning. NeurIPS 2018: 9458-9468 - [i9]Hyeji Kim, Yihan Jiang, Ranvir Rana, Sreeram Kannan, Sewoong Oh, Pramod Viswanath:
Communication Algorithms via Deep Learning. CoRR abs/1805.09317 (2018) - [i8]Hyeji Kim, Chong-Min Kyung:
Automatic Rank Selection for High-Speed Convolutional Neural Network. CoRR abs/1806.10821 (2018) - [i7]Hyeji Kim, Yihan Jiang, Sreeram Kannan, Sewoong Oh, Pramod Viswanath:
Deepcode: Feedback Codes via Deep Learning. CoRR abs/1807.00801 (2018) - [i6]Yihan Jiang, Hyeji Kim, Himanshu Asnani, Sreeram Kannan, Sewoong Oh, Pramod Viswanath:
LEARN Codes: Inventing Low-latency Codes via Recurrent Neural Networks. CoRR abs/1811.12707 (2018) - [i5]Hyeji Kim, Muhammad Umar Karim Khan, Chong-Min Kyung:
A Framework for Fast and Efficient Neural Network Compression. CoRR abs/1811.12781 (2018) - 2017
- [j6]Hyeji Kim, Weihao Gao, Sreeram Kannan, Sewoong Oh, Pramod Viswanath:
Discovering Potential Correlations via Hypercontractivity. Entropy 19(11): 586 (2017) - [c4]Hyeji Kim, Weihao Gao, Sreeram Kannan, Sewoong Oh, Pramod Viswanath:
Discovering Potential Correlations via Hypercontractivity. NIPS 2017: 4577-4587 - 2016
- [j5]Hyeji Kim, Benjamin Nachman, Abbas El Gamal:
Superposition Coding Is Almost Always Optimal for the Poisson Broadcast Channel. IEEE Trans. Inf. Theory 62(4): 1782-1794 (2016) - [j4]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): 6917-6930 (2016) - [c3]Chandra Nair, Hyeji Kim, Abbas El Gamal:
On the optimality of randomized time division and superposition coding for the broadcast channel. ITW 2016: 131-135 - 2015
- [j3]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 62-II(9): 906-910 (2015) - [j2]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): 3622-3631 (2015) - [c2]Hyeji Kim, Benjamin Nachman, Abbas El Gamal:
Superposition coding is almost always optimal for the Poisson broadcast channel. ISIT 2015: 834-838 - [i4]Hyeji Kim, Benjamin Nachman, Abbas El Gamal:
Superposition Coding is Almost Always Optimal for the Poisson Broadcast Channel. CoRR abs/1508.04228 (2015) - [i3]Hyeji Kim, Abbas El Gamal:
Capacity Theorems for Broadcast Channels with Two Channel State Components Known at the Receivers. CoRR abs/1509.04335 (2015) - 2014
- [c1]Hyeji Kim, Abbas El Gamal:
Capacity region of the broadcast channel with two deterministic channel state components. ISIT 2014: 1952-1956 - [i2]Hyeji Kim, Abbas El Gamal:
Capacity Region of the Broadcast Channel with Two Deterministic Channel State Components. CoRR abs/1401.6738 (2014) - 2013
- [i1]Hyeji Kim, Yeow-Khiang Chia, Abbas El Gamal:
A Note on Broadcast Channels with Stale State Information at the Transmitter. CoRR abs/1309.7437 (2013) - 2010
- [j1]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): 839-841 (2010)
Coauthor Index
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