Jeimin Jeon

According to our database, Jeimin Jeon authored at least 9 papers between 2024 and 2026.

Collaborative distances:

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

2026

TAS-LoRA: Transformer Architecture Search with Mixture-of-LoRA Experts.

Jeimin Jeon, Hyunju Lee, Bumsub Ham

CoRR, May, 2026

Relational Feature Caching for Accelerating Diffusion Transformers.

Byunggwan Son, Jeimin Jeon, Jeongwoo Choi, Bumsub Ham

CoRR, February, 2026

Token-based dynamic bit-width assignment for ViT quantization.

Dohyung Kim, Jaehyeon Moon, Junghyup Lee, Geon Lee, Jeimin Jeon, Bumsub Ham

Pattern Recognit., 2026

GrowTAS: Progressive Expansion from Small to Large Subnets for Efficient ViT Architecture Search.

Hyunju Lee, Youngmin Oh, Jeimin Jeon, Donghyeon Baek, Bumsub Ham

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2026

2025

AccuQuant: Simulating Multiple Denoising Steps for Quantizing Diffusion Models.

Seunghoon Lee, Jeongwoo Choi, Byunggwan Son, Jaehyeon Moon, Jeimin Jeon, Bumsub Ham

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

Scheduling Weight Transitions for Quantization-Aware Training.

Junghyup Lee, Jeimin Jeon, Dohyung Kim, Bumsub Ham

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

Subnet-Aware Dynamic Supernet Training for Neural Architecture Search.

Jeimin Jeon, Youngmin Oh, Junghyup Lee, Donghyeon Baek, Dohyung Kim, Chanho Eom, Bumsub Ham

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024

Transition Rate Scheduling for Quantization-Aware Training.

Junghyup Lee, Dohyung Kim, Jeimin Jeon, Bumsub Ham

CoRR, 2024

Toward INT4 Fixed-Point Training via Exploring Quantization Error for Gradients.

Dohyung Kim, Junghyup Lee, Jeimin Jeon, Jaehyeon Moon, Bumsub Ham

Proceedings of the Computer Vision - ECCV 2024, 2024