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Efficient Neural Computing Lab

Efficient Neural Computing Lab

Kyung Hee University · Computer Science and Engineering

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Professor

Prof. 배성호

Professor's page · publications

About

배성호 교수 연구실(Efficient Neural Computing Lab, 고효율신경망연구실)은 경희대 컴퓨터공학과 소속으로, 확장 가능하고 효율적이며 강건한 AI 시스템을 연구한다. 비전-언어-행동(VLA) 기반 임베디드/체화 AI, 데이터 압축·증류·합성을 통한 학습 효율화, 신경망 양자화 및 데이터셋 응축 등 효율적 신경망 컴퓨팅을 다룬다.

Research keywords

Efficient neural networks / deep learning (model compressionknowledge distillationdata augmentationefficient computer vision)

Selected publications

  • Post Training Quantization for Efficient Dataset CondensationAAAI Conference on Artificial Intelligence (Oral) · 2026
  • I-INR: Iterative Implicit Neural RepresentationsAAAI Conference on Artificial Intelligence · 2026
  • Trimming the Fat: Efficient Compression of 3D Gaussian Splats through PruningBMVC (British Machine Vision Conference) · 2024
  • Towards Efficient Image Compression Without Autoregressive ModelsNeurIPS (Advances in Neural Information Processing Systems) · 2023
  • GLAMD: Global and Local Attention Mask Distillation for Object DetectorsECCV (European Conference on Computer Vision) · 2022
  • SaliencyMix: A Saliency Guided Data Augmentation Strategy for Better RegularizationICLR (International Conference on Learning Representations) · 2021

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