Neural Cover Selection for Image Steganography
Advances in Neural Information Processing Systems (NeurIPS), 2024.
by Karl Chahine, Hyeji Kim.
Code repository: https://github.com/karlchahine/Neural-Cover-Selection-for-Image-Steganography

Clustered Federated Learning via Gradient-based Partitioning
International Conference on Machine Learning, 2024.
by Heasung Kim, Hyeji Kim, Gustavo de Veciana.
Code repository: https://github.com/Heasung-Kim/clustered-federated-learning-via-gradient-based-partitioning

Estimation of Rate-Distortion Function for Computing with Decoder Side Information
IEEE International Symposium on Information Theory, 2024.
by Heasung Kim, Hyeji Kim, Gustavo de Veciana.
Code repository: https://github.com/Heasung-Kim/rate-distortion-side-information

LightCode: Light Analytical and Neural Codes for Channels with Feedback
IEEE Journal on Selected Areas in Communications, 2024.
by Sravan Kumar Ankireddy, Krishna Narayanan, Hyeji Kim.
Code repository: https://github.com/sravan-ankireddy/lightcode

Fundamental Limits of Prompt Compression: A Rate-Distortion Framework for Black-Box Language Models
Advances in Neural Information Processing Systems (NeurIPS), 2024. by Alliot Nagle*, Adway Girish*, Marco Bondaschi, Michael Gastpar, Ashok Vardhan Makkuva, Hyeji Kim.
Code repository: https://github.com/acnagle/fundamental-limits

Generating High Dimensional Wireless Channels using Diffusion Models
Under Review at IEEE Transactions on Wireless Communications, 2024. by Taekyun Lee, Juseong Park, Hyeji Kim, Jeffrey Andrews.
Code repository: https://github.com/taekyunl/cDDIM

DeepPolar : Inventing Nonlinear Large-Kernel Polar Codes via Deep Learning
International Conference on Machine Learning, 2024 by Ashwin Hebbar*, Sravan Kumar Ankireddy*, Hyeji Kim, Sewoong Oh, Pramod Viswanath.
Code repository: https://github.com/hebbarashwin/deeppolar

Neural Distributed Source Coding
IEEE Journal on Selected Areas in Information Theory, 2024
by Jay Whang*, Alliot Nagle*, Anish Acharya, Hyeji Kim, and Alexandros G. Dimakis.
Code repository: https://github.com/acnagle/neural-dsc

Task-aware Distributed Source Coding under Dynamic Bandwidth
Advances in Neural Information Processing Systems (NeurIPS), 2023.
by Po-han Li*, Sravan Kumar Ankireddy*, Ruihan Zhao, Hossein Nourkhiz Mahjoub, Ehsan Moradi Pari, Ufuk Topcu, Sandeep P. Chinchali, Hyeji Kim.
Code repository: https://github.com/UTAustin-SwarmLab/Task-aware-Distributed-Source-Coding

Interpreting Neural Min-Sum Decoders
International Conference on Communications, 2023
by Sravan Kumar Ankireddy and Hyeji Kim.
Code repository: https://github.com/sravan-ankireddy/nams

DeepIC+: Learning Codes for Interference Channels
IEEE Transactions on Wireless Communications, 2023
by Karl Chahine, Yihan Jiang, Joonyoung Cho, and Hyeji Kim.
Code repository: https://github.com/karlchahine/DeepIC

CRISP: Curriculum based Sequential Neural Decoders for Polar Code Family
International Conference on Machine Learning, 2023 by Ashwin Hebbar, Viraj Nadkarni, Ashok Vardhan Makkuva, Suma Bhat, Sewoong Oh, Pramod Viswanath Code repository: https://github.com/hebbarashwin/neural_polar_decoder

TinyTurbo: Efficient Turbo Decoders on Edge
International Symposium on Information Theory, 2022 by Ashwin Hebbar, Rajesh Mishra, Sravan Kumar Ankireddy, Ashok Makkuva, Hyeji Kim and Pramod Viswanath.
Code repository: https://github.com/hebbarashwin/tinyturbo

KO codes: Inventing Nonlinear Encoding and Decoding for Reliable Wireless Communication via Deep-learning
International Conference on Machine Learning, 2021 by Ashok Vardhan Makkuva, Xiyang Liu, Mohammad Vahid Jamali, Hessam Mahdavifar, Sewoong Oh, Pramod Viswanath
Code repository: https://github.com/deepcomm/KOcodes

Learning-Based Coded Computation
IEEE Journal on Selected Areas in Information Theory, 2020
by J. Kosaian, K. V. Rashmi, and S. Venkataraman
Code repository: https://github.com/Thesys-lab/parity-models

Parity Models: Erasure-Coded Resilience for Prediction Serving Systems
In ACM Symposium on Operating Systems Principles (SOSP), 2019
by J. Kosaian, K. V. Rashmi, and S. Venkataraman
Code repository: https://github.com/Thesys-lab/parity-models

Communication Algorithms via Deep Learning
International Conference on Learning Representations (ICLR), Vancouver, April 2018
by Hyeji Kim, Yihan Jiang, Ranvir Rana, Sreeram Kannan, Sewoong Oh, Pramod Viswanath Code: https://github.com/yihanjiang/Sequential-RNN-Decoder

Deepcode: Feedback Codes via Deep Learning
IEEE Journal on Selected Areas in Information Theory, 2020
Conference on Neural Information Processing Systems (NeurIPS), Montreal, December 2018
by Hyeji Kim, Yihan Jiang, Sreeram Kannan, Sewoong Oh, Pramod Viswanath Code (Keras): https://github.com/hyejikim1/Deepcode
Code (PyTorch): https://github.com/yihanjiang/feedback_code

Turbo Autoencoder: Deep learning based channel code for point-to-point communication channels
Conference on Neural Information Processing Systems (NeurIPS), Vancouver, December 2019
by Yihan Jiang, Hyeji Kim, Himanshu Asnani, Sreeram Kannan, Sewoong Oh, Pramod Viswanath
Code: https://github.com/yihanjiang/turboae