Sangwoo Hong

According to our database, Sangwoo Hong authored at least 24 papers between 2003 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

PredLM: A Sparse Large Language Model Decoding Accelerator With Hardware-Efficient Zero-Activation Prediction.

Seunghyun Moon, Seowon Ji, Sangwoo Hong, Eunji Kwon

IEEE Trans. Circuits Syst. II Express Briefs, June, 2026

MVP-LAM: Learning Action-Centric Latent Action via Cross-Viewpoint Reconstruction.

Jung Min Lee, Dohyeok Lee, Seokhun Ju, Taehyun Cho, Jin Woo Koo, Li Zhao, Sangwoo Hong, Jungwoo Lee

CoRR, February, 2026

Beyond Prompts: Preserving Semantics in Diffusion-Based Semantic Communication.

Wonjung Kim, Nakyung Lee, Sangwoo Hong, Jungwoo Lee

IEEE Wirel. Commun. Lett., 2026

Bias Alleviation Through Network Pruning for Sparse and Debiased Models.

Sangwoo Hong, Sehwan Kim, Hyungjun Joo, Hyeonggeun Han, Jiyoon Shin, Yoav Wald, Jungwoo Lee

IEEE Trans. Image Process., 2026

Efficient Process Reward Modeling via Contrastive Mutual Information.

Nakyung Lee, Sangwoo Hong, Jungwoo Lee

Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

An Adaptive Sampling Framework for Diffusion-based Dataset Distillation with High Fidelity and Diversity.

Sunbeom Jeong, Sehwan Kim, Hyeonggeun Han, Hyungjun Joo, Sangwoo Hong, Jungwoo Lee

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Adjusting Initial Noise to Mitigate Memorization in Text-to-Image Diffusion Models.

Hyeonggeun Han, Sehwan Kim, Hyungjun Joo, Sangwoo Hong, Jungwoo Lee

CoRR, October, 2025

Prototype-Based Explanation for Semantic Gap Reduction With Distributional Embedding.

Hyungjun Joo, Sangwoo Hong, Hyeonggeun Han, Youngseok Yoon, Jungwoo Lee

IEEE Access, 2025

Constructing Fair Latent Space for Intersection of Fairness and Explainability.

Hyungjun Joo, Hyeonggeun Han, Sehwan Kim, Sangwoo Hong, Jungwoo Lee

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Group-Wise Verifiable Coded Computing Under Byzantine Attacks and Stragglers.

Sangwoo Hong, Heecheol Yang, Youngseok Yoon, Jungwoo Lee

IEEE Trans. Inf. Forensics Secur., 2024

Mix from Failure: Confusion-Pairing Mixup for Long-Tailed Recognition.

Youngseok Yoon, Sangwoo Hong, Hyungjoon Joo, Yao Qin, Haewon Jeong, Jungwoo Lee

CoRR, 2024

NeRFlex: Flexible Neural Radiance Fields With Diffeomorphic Deformation.

Jiyoon Shin, Sangwoo Hong, Jungwoo Lee

IEEE Access, 2024

GBMix: Enhancing Fairness by Group-Balanced Mixup.

Sangwoo Hong, Youngseok Yoon, Hyungjun Joo, Jungwoo Lee

IEEE Access, 2024

Mitigating Spurious Correlations via Disagreement Probability.

Hyeonggeun Han, Sehwan Kim, Hyungjun Joo, Sangwoo Hong, Jungwoo Lee

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Learning Dual Hierarchical Representation for 3D Surface Reconstruction.

Jiyoon Shin, Youngwook Kim, Sangwoo Hong, Jungwoo Lee

Proceedings of the Computer Vision - ACCV 2024, 2024

2023

Straggler-Exploiting Fully Private Distributed Matrix Multiplication With Chebyshev Polynomials.

Sangwoo Hong, Heecheol Yang, Youngseok Yoon, Jungwoo Lee

IEEE Trans. Commun., March, 2023

2022

Hierarchical Group Testing for Byzantine Attack Identification in Distributed Matrix Multiplication.

Sangwoo Hong, Heecheol Yang, Jungwoo Lee

IEEE J. Sel. Areas Commun., 2022

Byzantine Attack Identification in Distributed Matrix Multiplication via locally testable codes.

Sangwoo Hong, Heecheol Yang, Jungwoo Lee

Proceedings of the IEEE International Symposium on Information Theory, 2022

Doppler Analysis and Compensation for Distributed LEO-MIMO Satellite Communications.

Sangwoo Hong, Wonjae Shin, Jungwoo Lee

Proceedings of the 27th Asia Pacific Conference on Communications, 2022

2021

Securely Straggler-Exploiting Coded Computation for Distributed Matrix Multiplication.

Heecheol Yang, Sangwoo Hong, Jungwoo Lee

IEEE Access, 2021

Private and Secure Coded Computation in Straggler-Exploiting Distributed Matrix Multiplication.

Heecheol Yang, Sangwoo Hong, Jungwoo Lee

Proceedings of the IEEE International Symposium on Information Theory, 2021

Chebyshev Polynomial Codes: Task Entanglement-based Coding for Distributed Matrix Multiplication.

Sangwoo Hong, Heecheol Yang, Youngseok Yoon, Taehyun Cho, Jungwoo Lee

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

Squeezed Polynomial Codes: Communication-Efficient Coded Computation in Straggler-Exploiting Distributed Matrix Multiplication.

Sangwoo Hong, Heecheol Yang, Jungwoo Lee

IEEE Access, 2020

2003

The Dichotomy of Presence Elements: The Where and What.

Dongsik Cho, Jihye Park, Gerard Jounghyun Kim, Sangwoo Hong, Sungho Han, Seungyong Lee

Proceedings of the IEEE Virtual Reality Conference 2003 (VR 2003), 2003