Kanghyun Choi

According to our database, Kanghyun Choi authored at least 16 papers between 2018 and 2026.

Collaborative distances:

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

2026

DANCE++: Differentiable Accelerator/Network Co-Exploration With Hard Constraints and Data-Free Training for Real-World Scenarios.

Kanghyun Choi, Deokki Hong, Hyeyoon Lee, Joonsang Yu, Noseong Park, Youngsok Kim, Jinho Lee

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., February, 2026

2025

FALQON: Accelerating LoRA Fine-tuning with Low-Bit Floating-Point Arithmetic.

Kanghyun Choi, Hyeyoon Lee, SunJong Park, Dain Kwon, Jinho Lee

CoRR, October, 2025

MangoBoost Alice: Extremely Fast, Seamless, and Versatile FPGA-Accelerated DPU Solutions.

Heetaek Jeong, Wonsik Lee, Eunjin Baek, Changsu Kim, Changyeon Jo, Dongju Chae, Kanghyun Choi, Hamin Jang, Mohamed A. Elgammal, Sungmin Hong, Eriko Nurvitadhi, Dongup Kwon, Jangwoo Kim

IEEE Micro, 2025

FS²: A Fast, Scalable, and Flexible Switching System for Emerging Interconnects.

Heetaek Jeong, Kanghyun Choi, Hamin Jang, Dongup Kwon, Eunjin Baek, Pyeongsu Park, Jangwoo Kim

IEEE Micro, 2025

FALQON: Accelerating LoRA Fine-tuning with Low-Bit Floating-Point Arithmetic.

Kanghyun Choi, Hyeyoon Lee, Sunjong Park, Dain Kwon, Jinho Lee

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

MimiQ: Low-Bit Data-Free Quantization of Vision Transformers with Encouraging Inter-Head Attention Similarity.

Kanghyun Choi, Hyeyoon Lee, Dain Kwon, Sunjong Park, Kyuyeun Kim, Noseong Park, Jonghyun Choi, Jinho Lee

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

2024

MimiQ: Low-Bit Data-Free Quantization of Vision Transformers with Encouraging Inter-Head Attention Similarity.

Kanghyun Choi, Hyeyoon Lee, Dain Kwon, Sunjong Park, Kyuyeun Kim, Noseong Park, Jinho Lee

CoRR, 2024

DataFreeShield: Defending Adversarial Attacks without Training Data.

Hyeyoon Lee, Kanghyun Choi, Dain Kwon, Sunjong Park, Mayoore Selvarasa Jaiswal, Noseong Park, Jonghyun Choi, Jinho Lee

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Fast Adversarial Training with Dynamic Batch-level Attack Control.

Jaewon Jung, Jaeyong Song, Hongsun Jang, Hyeyoon Lee, Kanghyun Choi, Noseong Park, Jinho Lee

Proceedings of the 60th ACM/IEEE Design Automation Conference, 2023

2022

Enabling hard constraints in differentiable neural network and accelerator co-exploration.

Deokki Hong, Kanghyun Choi, Hyeyoon Lee, Joonsang Yu, Noseong Park, Youngsok Kim, Jinho Lee

Proceedings of the DAC '22: 59th ACM/IEEE Design Automation Conference, San Francisco, California, USA, July 10, 2022

It's All In the Teacher: Zero-Shot Quantization Brought Closer to the Teacher.

Kanghyun Choi, Hyeyoon Lee, Deokki Hong, Joonsang Yu, Noseong Park, Youngsok Kim, Jinho Lee

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Performance Modeling and Practical Use Cases for Black-Box SSDs.

Joonsung Kim, Kanghyun Choi, Wonsik Lee, Jangwoo Kim

ACM Trans. Storage, 2021

Qimera: Data-free Quantization with Synthetic Boundary Supporting Samples.

Kanghyun Choi, Deokki Hong, Noseong Park, Youngsok Kim, Jinho Lee

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

DANCE: Differentiable Accelerator/Network Co-Exploration.

Kanghyun Choi, Deokki Hong, Hojae Yoon, Joonsang Yu, Youngsok Kim, Jinho Lee

Proceedings of the 58th ACM/IEEE Design Automation Conference, 2021

2019

Nonlinear Mixed Model and Reliability Prediction for OLED Luminance Degradation.

Kanghyun Choi, Jongwon Lee, Jongwoo Park

Proceedings of the IEEE International Reliability Physics Symposium, 2019

2018

Interactive and Immersive Learning Using 360° Virtual Reality Contents on Mobile Platforms.

Kanghyun Choi, Yeo-Jin Yoon, Oh-Young Song, Soo-Mi Choi

Mob. Inf. Syst., 2018