Selected Publications

Browse by year: 2026 | 2025 | 2024 | 2023

Selected publications from the Ko Lab, 2023 to present. Lab members are shown in bold. For the complete and up-to-date list, see Prof. Ko's Google Scholar profile.

2026

  • S. Muhsin, S.-B. Ko. LYRA: Low-Frequency Rank Adaptation via Factored DCT Coefficients for Parameter Efficient Fine Tuning of Transformers. IEEE Signal Processing Letters, 2026.
  • F. Ferri, Y. Wang, R. Ko, J. Yepez, M. Lagoda, Y. M. Seddon, S.-B. Ko. Computer vision system for assessing pig welfare indicators on carcasses. Veterinary and Animal Science, 2026.
  • E. Fard, J. Arias-Garcia, H. Zhang, S.-B. Ko. FlexPWL: A Flexible, Scalable, and Multiplier-Free Approach for Activation Functions on FPGA. IEEE Transactions on Computers, 2026.
  • M. H. Haider, H. Zhang, S.-B. Ko. Power-Efficient and Reconfigurable Compute Unit for Multi-Precision AI Inference at the Edge. IEEE International Symposium on Circuits and Systems (ISCAS), 2026.
  • M. H. Haider, H. Zhang, S.-B. Ko. Exploring Hardware-Driven Privacy Techniques for Trustworthy Machine Learning. Machine Learning Systems: The Role of Hardware Design for Dependable Systems, 2026.
  • E. Fard, H. Zhang, S.-B. Ko. Machine Learning Systems for High Performance and Dependability: The FPGA Roleplay. Machine Learning Systems: The Role of Hardware Design for Dependable Systems, 2026.
  • N. J. Kim, B. J. Kang, H. I. Lee, S. Yoon, Y. Kim, S. Han, S.-B. Ko, H. Kim. FLASH: Energy-Efficient FPGA Acceleration via Linear Approximation and Streamlined Two-Stage Pipeline Architectures for Quantized CNN-Transformer Hybrid Networks. IEEE Transactions on Neural Networks and Learning Systems, 2026.
  • S. B. Lee, A. B. Carter, M. H. Haider, S.-B. Ko. An Introduction to AI for Clinicians: Tutorial. Interactive Journal of Medical Research, 2026.
  • D. Yu, X. Zhang, C. Chen, S.-B. Ko, H. Zhang. T3: Transformer Accelerator With Efficient Top-K Sorting and Dynamic Tanh Computation for Marine Edge Computing. IEEE Transactions on Very Large Scale Integration (VLSI) Systems, 2026.
  • R. Castro-Zunti, Y. M. Han, K. Y. Kim, A. Vardhan, D. E. Lee, E. S. Ha, Y. Choi, et al. An accurate, straightforward computer vision algorithm for optimal tumor-feeding visualization in cone-beam computed tomography hepatic arteriography. Clinical Radiology, 2026.
  • Y. Wang, S.-B. Ko, Q. Wen, Z. Wei, H. Zhang. When Posit Meets Microscaling: Energy Efficient Posit-Based Processing Element for Edge AI Computation. Asia and South Pacific Design Automation Conference (ASP-DAC), 2026.
  • S. Valarezo-Plaza, A. Erazo, M. H. Haider, J. Bae, P. Canteenwalla, S. Yun, et al. FFT-based deep learning for efficient combustion instability prediction. International Journal of Hydrogen Energy, 2026.
  • M. Shamsoddini, T. Lan, M. Mazhari, S.-B. Ko, C. Y. Chung. An explainable framework for partial discharge detection in power cables through the integration of rough set theory and deep learning. Electric Power Systems Research, 2026.

2025

  • E. Fard, M. Soltani, A. H. Jahangir, S.-B. Ko. LightIDS: a lightweight neural network-based intrusion detection system. The Journal of Supercomputing, 2025.
  • M. H. Haider, H. J. Lee, S.-B. Ko. Reconfigurable Multi-Precision Multipliers for Energy-Efficient CNN Acceleration for Visual AI in ICT Systems. International Journal of Contents, 2025.
  • M. Mostafavi, A. Ayatollahi, S. Rajagopal, S.-B. Ko. EEG-based biometric authentication: advancing security through motor imagery and deep learning. Signal, Image and Video Processing, 2025.
  • R. Castro-Zunti, E. H. Park, A. Satsangi, Y. Choi, G. Y. Jin, H. S. Chae, S.-B. Ko. A Novel Vision Transformer + InceptionV3 Hybrid Network for Accurate Diagnosis of Ankylosing Spondylitis from Computed Tomography Scans. Machine Intelligence Research, 2025.
  • R. Castro-Zunti, E. H. Park, H. N. Park, Y. Choi, G. Y. Jin, H. S. Chae, S.-B. Ko. Diagnosing Ankylosing Spondylitis via Architecture-Modified ResNet and Combined Conventional Magnetic Resonance Imagery. Journal of Imaging Informatics in Medicine, 38(6), 3665-3683, 2025.
  • Y. Choi, R. Castro-Zunti, J. S. Yun, Y. Choi, S.-B. Ko, E. J. Choi, G. Y. Jin, W. H. Yoo, et al. Enhancing diagnosis of gout with deep learning in dual-energy computed tomography. Rheumatology, 64(12), 6071-6078, 2025.
  • M. H. Haider, N. Kim, H. Zhang, J. Arias-Garcia, H. J. Lee, S.-B. Ko. Memory-Efficient Differential Privacy Accelerator. IEEE Asia Pacific Conference on Circuits and Systems (APCCAS), 2025.
  • R. Castro-Zunti, Y. Choi, Y. Choi, H. S. Chae, G. Y. Jin, E. H. Park, S.-B. Ko. DECTGoutSys: Reducing False Positive Gout Diagnoses via a Machine Vision Pipeline for Crystal Tophi Identification and Classification in Dual-Energy Computed Tomography. Journal of Imaging Informatics in Medicine, 2025.
  • P. Shiri, X. Yi, N. P. Mistry, S. Javadinia, M. Chegini, S.-B. Ko, A. Baniasadi, et al. Generating Synthetic Contrast-Enhanced Chest CT Images from Non-contrast Scans Using Slice-Consistent Brownian Bridge Diffusion Network. MICCAI Workshop on Statistical Atlases and Computational Models, 2025.
  • S. Soleimani-Fard, W. G. Jeong, F. Ferri, H. Sasani, Y. Choi, S. Deiva, et al. A lightweight convolutional neural network based on U shape structure and attention mechanism for anterior mediastinum segmentation. Neural Computing and Applications, 37(27), 22875-22889, 2025.
  • E. J. Choi, Y. Wang, H. Choi, J. H. Youk, J. H. Byon, S. Choi, S.-B. Ko, G. Y. Jin. Automated breast ultrasound features associated with diagnostic performance of a multiview convolutional neural network. Ultraschall in der Medizin - European Journal of Ultrasound, 2025.
  • M. Shamsoddini, T. Lan, S.-B. Ko, C. Y. Chung. AI-driven single-end partial discharge localization in power cables. Electric Power Systems Research, 245, 111601, 2025.
  • A. Erazo, A. Morocho, B. Caizaluisa, A. Arcentales, A. V. Guaman, S.-B. Ko. Scalable Leader-Follower Formation for Nonholonomic Robots. IEEE Canadian Conference on Electrical and Computer Engineering (CCECE), 2025.
  • R. Castro-Zunti, J. Yepez, S.-B. Ko. Outdoor Check Stop HAZMAT Placard Detection Using Synthetic Images and YOLOv5-Small. IEEE International Symposium on Circuits and Systems (ISCAS), 2025.
  • N. Si, Q. Wen, S.-B. Ko, H. Zhang. Efficient multi-precision approximate posit multiply-accumulate unit. IEEE International Conference on Communications, Circuits and Systems, 2025.
  • T. Liu, S. J. Trim, S.-B. Ko, R. J. Spiteri. The multi-GPU Wetland DEM Ponding Model. Computers and Geosciences, 199, 105912, 2025.
  • M. M. Moradi, A. Hassanzadeh, A. Haghanifar, S.-B. Ko. Optimized COVID-19 detection using sparse deep learning models from multimodal imaging data. Multimedia Tools and Applications, 84(13), 11451-11474, 2025.
  • M. Mostafavi, S.-B. Ko, S. B. Shokouhi, A. Ayatollahi. Transfer learning and self-distillation for automated detection of schizophrenia using single-channel EEG and scalogram images. Physical and Engineering Sciences in Medicine, 48(1), 3-18, 2025.

2024

  • R. Castro-Zunti, K. Li, A. Vardhan, Y. Choi, G. Y. Jin, S.-B. Ko. RibFractureSys: A gem in the face of acute rib fracture diagnoses. Computerized Medical Imaging and Graphics, 117, 102429, 2024.
  • S. Soleimani-Fard, S.-B. Ko. Res-MGCA-SE: a lightweight convolutional neural network based on vision transformer for medical image classification. Neural Computing and Applications, 36(28), 17631-17644, 2024.
  • A. Erazo, K. R. Pinto, Y. Choi, S.-B. Ko. Assessment of a continuous passive motion assistive device in dogs following stifle surgery. The Veterinary Journal, 306, 106160, 2024.
  • F. Ferri, J. Yepez, M. Ahadi, Y. Wang, R. Ko, Y. M. Seddon, S.-B. Ko. Enhancing welfare assessment: automated detection and imaging of dorsal and lateral views of swine carcasses for identification of welfare indicators. Computers and Electronics in Agriculture, 222, 109058, 2024.
  • S. Valarezo-Plaza, J. Torres-Tello, K. D. Singh, S. J. Shirtliffe, S. Deivalakshmi, et al. A novel optimized deep learning model for canola crop yield prediction on edge devices. IEEE Transactions on AgriFood Electronics, 2(2), 436-444, 2024.
  • C. Du, S.-B. Ko, H. Zhang. Energy efficient FPGA-based binary transformer accelerator for edge devices. IEEE International Symposium on Circuits and Systems (ISCAS), 2024.
  • M. H. Haider, S. Valarezo-Plaza, S. Muhsin, H. Zhang, S.-B. Ko. Optimized Transformer Models: BERT with CNN-like Pruning and Quantization. IEEE International Symposium on Circuits and Systems (ISCAS), 2024.
  • Y. Wang, W. G. Jeong, H. Zhang, Y. Choi, G. Y. Jin, S.-B. Ko. Anterior mediastinal nodular lesion segmentation from chest computed tomography imaging using UNet based neural network with attention mechanisms. Multimedia Tools and Applications, 83(15), 45969-45987, 2024.
  • R. Kadirappa, D. S., P. R., S.-B. Ko. DeepHistoNet: A robust deep-learning model for the classification of hepatocellular, lung, and colon carcinoma. Microscopy Research and Technique, 87(2), 229-256, 2024.
  • M. H. Haider, H. Zhang, S. Deivalaskhmi, G. Lakshmi Narayanan, S.-B. Ko. Is neuromorphic computing the key to power-efficient neural networks: A survey. Design and Applications of Emerging Computer Systems, 91-113, 2024.
  • G. Azarfar, S.-B. Ko, S. J. Adams, P. S. Babyn. Deep learning-based age estimation from chest CT scans. International Journal of Computer Assisted Radiology and Surgery, 19(1), 119-127, 2024.

2023

  • M. H. Haider, H. Zhang, S.-B. Ko. Decoder reduction approximation scheme for Booth multipliers. IEEE Transactions on Computers, 73(3), 735-746, 2023.
  • P. V. Yeswanth, S. Deivalakshmi, S. George, S.-B. Ko. Residual skip network-based super-resolution for leaf disease detection of grape plant. Circuits, Systems, and Signal Processing, 42(11), 6871-6899, 2023.
  • X. Wu, Z. Wei, S.-B. Ko, H. Zhang. Design of energy efficient logarithmic approximate multiplier. International Conference on Circuits and Systems (ICCS), 129-134, 2023.
  • T. Zhang, H. Jiang, W. Liu, F. Lombardi, L. Liu, S.-B. Ko, J. Han. A survey of majority logic designs in emerging nanotechnologies for computing. IEEE Transactions on Nanotechnology, 22, 732-739, 2023.
  • A. Erazo, L. Allauca, G. Guerra, S.-B. Ko. UV-SAFE: Advancing Market Product Disinfection with Automated UV-Technology Device. IEEE Seventh Ecuador Technical Chapters Meeting (ETCM), 2023.