16 citations · 22 across the 13 of their papers we have counts for
13 papers
Degree-Constrained Interval Optimization for Minimax Polynomial Approximation in Homomorphic Encryption
Jiheon Woo, Donggyun Ryu, Yongjune Kim
Homomorphic encryption (HE) enables privacy-preserving inference under arithmetic constraints that restrict encrypted evaluation to additions and multiplications. As a result, non-…
Spectral-Aligned Pruning for Universal Error-Correcting Code Transformers
Sanghyeon Cho, Taewoo Park, Seong-Joon Park +4
Universal channel decoders based on transformers-such as the Foundation Error Correction Code Transformer (FECCT)-achieve competitive decoding performance across diverse code famil…
Design of Outage-Limit-Approaching Protograph LDPC Codes via Generalized Rootchecks
Inki Kim, Hyuntae Ahn, Yongjune Kim +3
This paper presents a new protograph-based LDPC code design framework that simultaneously achieves full diversity over block-fading channels (BFCs) and near-capacity performance ov…
5G LDPC Codes as Root LDPC Codes via Diversity Alignment
Hyuntae Ahn, Inki Kim, Hee-Youl Kwak +3
This paper studies the diversity of protographbased quasi-cyclic low-density parity-check (QC-LDPC) codes over nonergodic block-fading channels under iterative beliefpropagation de…
Qubit-centric Transformer for Surface Code Decoding
Seong-Joon Park, Hee-Youl Kwak, Yongjune Kim
For reliable large-scale quantum computation, quantum error correction (QEC) is essential to protect logical information distributed across multiple physical qubits. Taking advanta…
Cross-Attention Message-Passing Transformers for Code-Agnostic Decoding in 6G Networks
Seong-Joon Park, Hee-Youl Kwak, Sang-Hyo Kim +2
Channel coding for 6G networks is expected to support a wide range of requirements arising from heterogeneous communication scenarios. These demands challenge traditional code-spec…
Lowering the Error Floor of Error Correction Code Transformer
Taewoo Park, Seong-Joon Park, Hee-Youl Kwak +2
With the success of transformer architectures across diverse applications, the error correction code transformer (ECCT) has gained significant attention for its superior decoding p…
Neural Window Decoder for SC-LDPC Codes
Dae-Young Yun, Hee-Youl Kwak, Yongjune Kim +2
In this paper, we propose a neural window decoder (NWD) for spatially coupled low-density parity-check (SC-LDPC) codes. The proposed NWD retains the conventional window decoder (WD…
Attention-aware Semantic Communications for Collaborative Inference
Jiwoong Im, Nayoung Kwon, Taewoo Park +3
We propose a communication-efficient collaborative inference framework in the domain of edge inference, focusing on the efficient use of vision transformer (ViT) models. The partit…
Boosted Neural Decoders: Achieving Extreme Reliability of LDPC Codes for 6G Networks
Hee-Youl Kwak, Dae-Young Yun, Yongjune Kim +2
Ensuring extremely high reliability in channel coding is essential for 6G networks. The next-generation of ultra-reliable and low-latency communications (xURLLC) scenario within 6G…
CrossMPT: Cross-attention Message-Passing Transformer for Error Correcting Codes
Seong-Joon Park, Hee-Youl Kwak, Sang-Hyo Kim +2
Error correcting codes (ECCs) are indispensable for reliable transmission in communication systems. The recent advancements in deep learning have catalyzed the exploration of ECC d…
Boosting Learning for LDPC Codes to Improve the Error-Floor Performance
Hee-Youl Kwak, Dae-Young Yun, Yongjune Kim +2
Low-density parity-check (LDPC) codes have been successfully commercialized in communication systems due to their strong error correction capabilities and simple decoding process.…
Optimized Layerwise Approximation for Efficient Private Inference on Fully Homomorphic Encryption
Junghyun Lee, Eunsang Lee, Young-Sik Kim +4
Recent studies have explored the deployment of privacy-preserving deep neural networks utilizing homomorphic encryption (HE), especially for private inference (PI). Many works have…