Publications 2026

Ko Lab publications appearing in 2026. Lab members are shown in bold. See all publications.

  • 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.
  • S. V. Manda, A. Alagarsamy, E. Ravindran, Y.-C. Hu, G. C. Cardarilli, S.-B. Ko. Error-Resilient Quantum Circuit Design of Hybrid Approximate-Exact 5:2 Compressors for Arithmetic Applications. 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.
  • K. E. Lindenschmidt, M. Jandaghian, S. Ansari, D. Sudom, S. Gomez, et al. Increasing Computational Efficiency of a River Ice Model to Help Investigate the Impact of Ice Booms on Ice Covers Formed in a Regulated River. Water, 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.