Korea University Efficient Machine Intelligence Lab Korea University · School of Electrical Engineering
Publications

Publications

For the complete and most up-to-date list, please see Google Scholar. * denotes equal contribution.

Conference Papers

Journal Papers

  • 2025
    CAT-TPT: Class-Agnostic Text-based Test-time Prompt Tuning for Vision-Language Models
    Y Zhang, H Liu, Y Kim, S Hong
    International Journal of Computer Vision (IJCV) 2025
  • 2025
    Artificial to Spiking Neural Networks Conversion with Calibration in Scientific Machine Learning
    Q Zhang, C Wu, A Kahana, GE Karniadakis, Y Kim, Y Li, P Panda
    SIAM Journal on Scientific Computing 2025
  • 2025
    ReSpike: Residual Frames-based Hybrid Spiking Neural Networks for Efficient Action Recognition
    S Xiao, Y Li, Y Kim, D Lee, P Panda
    Neuromorphic Computing and Engineering 2025
  • 2024
    Rethinking Skip Connections in Spiking Neural Networks with Time-To-First-Spike Coding
    Y Kim, A Kahana, R Yin, Y Li, P Stinis, G Karniadakis, P Panda
    Frontiers in Neuroscience 2024
  • 2024
    TReX: Reusing Vision Transformer's Attention for Efficient Xbar-Based Computing
    A Moitra, A Bhattacharjee, Y Kim, P Panda
    IEEE Transactions on Emerging Topics in Computing 2024
  • 2024
    Workload-Balanced Pruning for Sparse Spiking Neural Networks
    R Yin, Y Kim, Y Li, A Moitra, N Satpute, A Hambitzer, P Panda
    IEEE Transactions on Emerging Topics in Computational Intelligence 2024
  • 2024
    Do We Really Need a Large Number of Visual Prompts?
    Y Kim, Y Li, A Moitra, R Yin, P Panda
    Neural Networks 2024
  • 2024
    When In-Memory Computing Meets Spiking Neural Networks — A Perspective on Device–Circuit–System-and-Algorithm Co-Design
    A Moitra, A Bhattacharjee, Y Li, Y Kim, P Panda
    Applied Physics Reviews 2024
  • 2023
    Uncovering the Representation of Spiking Neural Networks Trained with Surrogate Gradient
    Y Li, Y Kim, H Park, P Panda
    Transactions on Machine Learning Research (TMLR) 2023
  • 2023
    TL-ADA: Transferable Loss-based Active Domain Adaptation
    K Han, Y Kim, D Han, H Lee, S Hong
    Neural Networks 2023
  • 2023
    Divide-and-Conquer the NAS Puzzle in Resource Constrained Federated Learning Systems
    Y Venkatesha, Y Kim, H Park, P Panda
    Neural Networks 2023
  • 2023
    Sharing Leaky-Integrate-and-Fire Neurons for Memory-Efficient Spiking Neural Networks
    Y Kim, Y Li, A Moitra, R Yin, P Panda
    Frontiers in Neuroscience 2023
  • 2023
    RobustEdge: Low Power Adversarial Detection for Cloud-Edge Systems
    A Moitra, A Bhattacharjee, Y Kim, P Panda
    IEEE Transactions on Emerging Topics in Computational Intelligence 2023
  • 2023
    Efficient Human Activity Recognition with Spatio-Temporal Spiking Neural Networks
    Y Li, R Yin, Y Kim, P Panda
    Frontiers in Neuroscience 2023
  • 2022
    2022 Roadmap on Neuromorphic Computing and Engineering
    DV Christensen, R Dittmann, B Linares-Barranco, A Sebastian, et al. (incl. Y Kim)
    Neuromorphic Computing and Engineering 2022
  • 2022
    SATA: Sparsity-Aware Training Accelerator for Spiking Neural Networks
    R Yin, A Moitra, A Bhattacharjee, Y Kim, P Panda
    IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems 2022
  • 2022
    Beyond Classification: Directly Training Spiking Neural Networks for Semantic Segmentation
    Y Kim, J Chough, P Panda
    Neuromorphic Computing and Engineering 2022
  • 2021
    Revisiting Batch Normalization for Training Low-Latency Deep Spiking Neural Networks from Scratch
    Y Kim, P Panda
    Frontiers in Neuroscience 2021
  • 2021
    Optimizing Deeper Spiking Neural Networks for Dynamic Vision Sensing
    Y Kim, P Panda
    Neural Networks 2021
  • 2021
    Visual Explanations from Spiking Neural Networks using Inter-Spike Intervals
    Y Kim, P Panda
    Scientific Reports 2021
  • 2021
    Federated Learning with Spiking Neural Networks
    Y Venkatesha, Y Kim, L Tassiulas, P Panda
    IEEE Transactions on Signal Processing 2021
  • 2021
    Domain Adaptation without Source Data
    Y Kim, D Cho, K Han, P Panda, S Hong
    IEEE Transactions on Artificial Intelligence 2021
  • 2021
    Adaptive Graph Adversarial Networks for Partial Domain Adaptation
    Y Kim, S Hong
    IEEE Transactions on Circuits and Systems for Video Technology 2021
  • 2021
    NEAT: Nonlinearity Aware Training for Accurate, Energy-Efficient, and Robust Implementation of Neural Networks on 1T-1R Crossbars
    A Bhattacharjee, L Bhatnagar, Y Kim, P Panda
    IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems 2021
  • 2020
    Towards Privacy-Preserving Domain Adaptation
    Y Kim, D Cho, S Hong
    IEEE Signal Processing Letters 2020

Preprints