Hyeji Kim
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
30
Venues
16
Active years
2014–2025
Best venue rank
A*
Where they publish
Papers
30 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ACSSC | NTF-OFDM: Robust Neural Modulation for High Mobility. | Sravan Kumar Ankireddy, S. Ashwin Hebbar, Pramod Viswanath, Hyeji Kim |
| 2025 | ACSSC | Residual Diffusion Models for Joint Source Channel Coding of MIMO CSI. | Sravan Kumar Ankireddy, Heasung Kim, Hyeji Kim |
| 2025 | ACSSC | An End-to-End Learning Framework for MIMO Communications. | Karl Chahine, Jung Hyun Bae, Dongwoon Bai, Hyeji Kim |
| 2025 | ICLR | 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 |
| 2025 | ISIT | Lower Bound of Networked Linear Quadratic Gaussian Plant with Two Linear Sensors and One Controller. | Sijie Li, Takashi Tanaka, Hyeji Kim |
| 2024 | ACSSC | High Dimensional User-Specific Channel Generation for CSI Compression Using Diffusion Models. | Taekyun Lee, Juseong Park, Hyeji Kim, Jeffrey G. Andrews |
| 2024 | ICML | DeepPolar: Inventing Nonlinear Large-Kernel Polar Codes via Deep Learning. | S. Ashwin Hebbar, Sravan Kumar Ankireddy, Hyeji Kim, Sewoong Oh, Pramod Viswanath |
| 2024 | ICML | Clustered Federated Learning via Gradient-based Partitioning. | Heasung Kim, Hyeji Kim, Gustavo de Veciana |
| 2024 | ICML | LASER: Linear Compression in Wireless Distributed Optimization. | Ashok Vardhan Makkuva, Marco Bondaschi, Thijs Vogels, Martin Jaggi, Hyeji Kim, Michael Gastpar |
| 2024 | ISIT | Estimation of Rate- Distortion Function for Computing with Decoder Side Information. | Heasung Kim, Hyeji Kim, Gustavo de Veciana |
| 2023 | ISIT | Compressed Error HARQ: Feedback Communication on Noise-Asymmetric Channels. | Sravan Kumar Ankireddy, S. Ashwin Hebbar, Yihan Jiang, Pramod Viswanath, Hyeji Kim |
| 2022 | GLOBECOM | Learning Variable-Rate Codes for CSI Feedback. | Heasung Kim, Hyeji Kim, Gustavo de Veciana |
| 2022 | ISIT | TinyTurbo: Efficient Turbo Decoders on Edge. | S. Ashwin Hebbar, Rajesh K. Mishra, Sravan Kumar Ankireddy, Ashok Vardhan Makkuva, Hyeji Kim, Pramod Viswanath |
| 2021 | GLOBECOM | DeepIC: Coding for Interference Channels via Deep Learning. | Karl Chahine, Nanyang Ye, Hyeji Kim |
| 2021 | ISCAS | 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 |
| 2021 | ISIT | Distributed Interference Alignment for K-user Interference Channels via Deep Learning. | Rajesh K. Mishra, Karl Chahine, Hyeji Kim, Syed Ali Jafar, Sriram Vishwanath |
| 2021 | ISIT | Linear Coding for AWGN Channels with Noisy Output Feedback via Dynamic Programming. | Rajesh K. Mishra, Deepanshu Vasal, Hyeji Kim |
| 2020 | DAC | Best of Both Worlds: AutoML Codesign of a CNN and its Hardware Accelerator. | Mohamed S. Abdelfattah, Lukasz Dudziak, Thomas Chau, Royson Lee, Hyeji Kim, Nicholas D. Lane |
| 2020 | ECCV | Journey Towards Tiny Perceptual Super-Resolution. | Royson Lee, Lukasz Dudziak, Mohamed S. Abdelfattah, Stylianos I. Venieris, Hyeji Kim, Hongkai Wen, Nicholas D. Lane |
| 2020 | FPGA | Codesign-NAS: Automatic FPGA/CNN Codesign Using Neural Architecture Search. | Mohamed S. Abdelfattah, Lukasz Dudziak, Thomas Chau, Royson Lee, Hyeji Kim, Nicholas D. Lane |
| 2020 | ICASSP | Feedback Turbo Autoencoder. | Yihan Jiang, Hyeji Kim, Himanshu Asnani, Sewoong Oh, Sreeram Kannan, Pramod Viswanath |
| 2020 | ICCAD | HAPI: Hardware-Aware Progressive Inference. | Stefanos Laskaridis, Stylianos I. Venieris, Hyeji Kim, Nicholas D. Lane |
| 2020 | Interspeech | ClovaCall: Korean Goal-Oriented Dialog Speech Corpus for Automatic Speech Recognition of Contact Centers. | 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 |
| 2019 | CVPR | Efficient Neural Network Compression. | Hyeji Kim, Muhammad Umar Karim Khan, Chong-Min Kyung |
| 2018 | ASPDAC | 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, Asim Khan, Muhammad Umar Karim Khan, Said Homidov, Hyun Sang Park, Chong-Min Kyung |
| 2018 | HRI | Dyadic Stance in Natural Language Communication with a Teachable Robot. | Tricia Chaffey, Hyeji Kim, Emilia Nobrega, Nichola Lubold, Heather Pon-Barry |
| 2018 | ICLR | Communication Algorithms via Deep Learning. | Hyeji Kim, Yihan Jiang, Ranvir Rana, Sreeram Kannan, Sewoong Oh, Pramod Viswanath |
| 2016 | ITW | On the optimality of randomized time division and superposition coding for the broadcast channel. | Chandra Nair, Hyeji Kim, Abbas El Gamal |
| 2015 | ISIT | Superposition coding is almost always optimal for the Poisson broadcast channel. | Hyeji Kim, Benjamin Nachman, Abbas El Gamal |
| 2014 | ISIT | Capacity region of the broadcast channel with two deterministic channel state components. | Hyeji Kim, Abbas El Gamal |