You can also find my articles on my Google Scholar profile

LiteStage: Latency-aware Layer Skipping for Multi-stage Reasoning

• Beomseok Kang, Jiwon Song, Jae-Joon Kim

• Arxiv preprint 2025

Efficient Domain-Adaptive Multi-Task Dense Prediction with Vision Foundation Models

• Beomseok Kang, Niluthpol Chowdhury Mithun, Mikhail Sizintsev, Han-Pang Chiu, Supun Samarasekera

• Arxiv preprint 2025

QWHA: Quantization-Aware Walsh-Hadamard Adaptation for Parameter-Efficient Fine-Tuning on Large Language Models

• Hyesung Jeon, Seojune Lee, Beomseok Kang, Yulwha Kim, Jae-Joon Kim

• Arxiv preprint 2025

Retrospective Sparse Attention for Efficient Long-Context Generation

• Seonghwan Choi*, Beomseok Kang*, Dongwon Jo, Jae-Joon Kim

• Arxiv preprint 2025

Distilled Unsupervised Domain Adaptation for Lightweight Semantic Segmentation

• Beomseok Kang, Niluthpol Chowdhury Mithun, Abhinav Rajvanshi, Han-Pang Chiu, Supun Samarasekera

• Arxiv preprint 2025

Dynamic Graph Structure Estimation for Learning Multivariate Point Process using Spiking Neural Networks

• Biswadeep Chakraborty, Hemant Kumawat, Beomseok Kang, Saibal Mukhopadhyay

• International Joint Conference on Neural Networks (IJCNN) 2025

Has the Deep Neural Network leanred the Stochastic Process? An Evaluation Viewpoint

• Harshit Kumar, Beomseok Kang, Biswadeep Chakraborty, Saibal Mukhopadhyay

• International Conference on Learning Representations (ICLR) 2025