Youngeun Kim

CoRR, January, 2026

2025

MD-SNN: Membrane Potential-aware Distillation on Quantized Spiking Neural Network.

[BibT_eX]

[DOI]

CoRR, December, 2025

CAT-TPT: Class-Agnostic Text-based Test-time Prompt Tuning for Vision-Language Models.

[BibT_eX]

[DOI]

Int. J. Comput. Vis., October, 2025

Training-Free Token Pruning via Zeroth-Order Gradient Estimation in Vision-Language Models.

[BibT_eX]

[DOI]

CoRR, September, 2025

Backpropagation-Free Test-Time Adaptation via Probabilistic Gaussian Alignment.

[BibT_eX]

[DOI]

CoRR, August, 2025

TReX- Reusing Vision Transformer's Attention for Efficient Xbar-Based Computing.

[BibT_eX]

[DOI]

IEEE Trans. Emerg. Top. Comput., 2025

Artificial to Spiking Neural Networks Conversion with Calibration in Scientific Machine Learning.

[BibT_eX]

[DOI]

Qian Zhang

Chenxi Wu

Adar Kahana

George Em Karniadakis

Yuhang Li

SIAM J. Sci. Comput., 2025

ReSpike: residual frames-based hybrid spiking neural networks for efficient action recognition.

[BibT_eX]

[DOI]

Neuromorph. Comput. Eng., 2025

Data-Driven Policy Making Framework Utilizing TOWS Analysis.

[BibT_eX]

[DOI]

Yeonbin Son

Yerim Choi

IEEE Access, 2025

Optimizing Nursing Data for Al and CDSS: SNOMED CT Mapping Using K-MIMIC.

[BibT_eX]

[DOI]

Proceedings of the MEDINFO 2025 - Healthcare Smart × Medicine Deep, 2025

Task Vector Quantization for Memory-Efficient Model Merging.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

Spiking Transformer with Spatial-Temporal Attention.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024

Workload-Balanced Pruning for Sparse Spiking Neural Networks.

[BibT_eX]

[DOI]

IEEE Trans. Emerg. Top. Comput. Intell., August, 2024

RobustEdge: Low Power Adversarial Detection for Cloud-Edge Systems.

[BibT_eX]

[DOI]

IEEE Trans. Emerg. Top. Comput. Intell., April, 2024

Do we really need a large number of visual prompts?

[BibT_eX]

[DOI]

Neural Networks, 2024

When In-memory Computing Meets Spiking Neural Networks - A Perspective on Device-Circuit-System-and-Algorithm Co-design.

[BibT_eX]

[DOI]

Yuhang Li

CoRR, 2024

LoAS: Fully Temporal-Parallel Datatflow for Dual-Sparse Spiking Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2024

LoAS: Fully Temporal-Parallel Dataflow for Dual-Sparse Spiking Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the 57th IEEE/ACM International Symposium on Microarchitecture, 2024

GenQ: Quantization in Low Data Regimes with Generative Synthetic Data.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2024, 2024

One-Stage Prompt-Based Continual Learning.

[BibT_eX]

[DOI]

Yuhang Li

Proceedings of the Computer Vision - ECCV 2024, 2024

Open-World Dynamic Prompt and Continual Visual Representation Learning.

[BibT_eX]

[DOI]

Dripta S. Raychaudhuri

Zhuowen Tu

Yifan Xing

Onkar Dabeer

Proceedings of the Computer Vision - ECCV 2024, 2024

TT-SNN: Tensor Train Decomposition for Efficient Spiking Neural Network Training.

[BibT_eX]

[DOI]

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2024

2023

Divide-and-conquer the NAS puzzle in resource-constrained federated learning systems.

[BibT_eX]

[DOI]

Neural Networks, November, 2023

SATA: Sparsity-Aware Training Accelerator for Spiking Neural Networks.

[BibT_eX]

[DOI]

Ruokai Yin

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., June, 2023

TL-ADA: Transferable Loss-based Active Domain Adaptation.

[BibT_eX]

[DOI]

Neural Networks, April, 2023

Uncovering the Representation of Spiking Neural Networks Trained with Surrogate Gradient.

[BibT_eX]

[DOI]

Trans. Mach. Learn. Res., 2023

StableQ: Enhancing Data-Scarce Quantization with Text-to-Image Data.

[BibT_eX]

[DOI]

CoRR, 2023

Artificial to Spiking Neural Networks Conversion for Scientific Machine Learning.

[BibT_eX]

[DOI]

George Em Karniadakis

CoRR, 2023

Sharing Leaky-Integrate-and-Fire Neurons for Memory-Efficient Spiking Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2023

Do We Really Need a Large Number of Visual Prompts?

[BibT_eX]

[DOI]

CoRR, 2023

SEENN: Towards Temporal Spiking Early Exit Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Examining the Role and Limits of Batchnorm Optimization to Mitigate Diverse Hardware-noise in In-memory Computing.

[BibT_eX]

[DOI]

Proceedings of the Great Lakes Symposium on VLSI 2023, 2023

XPert: Peripheral Circuit & Neural Architecture Co-search for Area and Energy-efficient Xbar-based Computing.

[BibT_eX]

[DOI]

Proceedings of the 60th ACM/IEEE Design Automation Conference, 2023

Exploring Temporal Information Dynamics in Spiking Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Beyond classification: directly training spiking neural networks for semantic segmentation.

[BibT_eX]

[DOI]

Joshua Chough

Neuromorph. Comput. Eng., December, 2022

Adaptive Graph Adversarial Networks for Partial Domain Adaptation.

[BibT_eX]

[DOI]

Sungeun Hong

IEEE Trans. Circuits Syst. Video Technol., 2022

NEAT: Nonlinearity Aware Training for Accurate, Energy-Efficient, and Robust Implementation of Neural Networks on 1T-1R Crossbars.

[BibT_eX]

[DOI]

Lakshya Bhatnagar

Martin Ejsing Christensen

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022

2022 roadmap on neuromorphic computing and engineering.

[BibT_eX]

[DOI]

Dennis V. Christensen

Regina Dittmann

Bernabé Linares-Barranco

Wolfram H. P. Pernice

Arnab Neelim Mazumder

Sune Holm

Daniele Ielmini

Nini Pryds

Neuromorph. Comput. Eng., 2022

Wearable-based Human Activity Recognition with Spatio-Temporal Spiking Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2022

Loss-based Sequential Learning for Active Domain Adaptation.

[BibT_eX]

[DOI]

CoRR, 2022

Addressing Client Drift in Federated Continual Learning with Adaptive Optimization.

[BibT_eX]

[DOI]

CoRR, 2022

Adversarial Detection without Model Information.

[BibT_eX]

[DOI]

CoRR, 2022

Examining the Robustness of Spiking Neural Networks on Non-ideal Memristive Crossbars.

[BibT_eX]

[DOI]

Proceedings of the ISLPED '22: ACM/IEEE International Symposium on Low Power Electronics and Design, Boston, MA, USA, August 1, 2022

Rate Coding Or Direct Coding: Which One Is Better For Accurate, Robust, And Energy-Efficient Spiking Neural Networks?

[BibT_eX]

[DOI]

Hyoungseob Park

Yeshwanth Venkatesha

Proceedings of the IEEE International Conference on Acoustics, 2022

Neuromorphic Data Augmentation for Training Spiking Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022, 2022

Exploring Lottery Ticket Hypothesis in Spiking Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022, 2022

Neural Architecture Search for Spiking Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision, 2022

Gradient-based Bit Encoding Optimization for Noise-Robust Binary Memristive Crossbar.

[BibT_eX]

[DOI]

Proceedings of the 2022 Design, Automation & Test in Europe Conference & Exhibition, 2022

PrivateSNN: Privacy-Preserving Spiking Neural Networks.

[BibT_eX]

[DOI]

Yeshwanth Venkatesha

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Federated Learning With Spiking Neural Networks.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2021

Domain Adaptation Without Source Data.

[BibT_eX]

[DOI]

IEEE Trans. Artif. Intell., 2021

Optimizing Deeper Spiking Neural Networks for Dynamic Vision Sensing.

[BibT_eX]

[DOI]

Martin Ejsing Christensen

Neural Networks, 2021

2021 Roadmap on Neuromorphic Computing and Engineering.

[BibT_eX]

[DOI]

Dennis V. Christensen

Regina Dittmann

Bernabé Linares-Barranco

Wolfram H. P. Pernice

Arnab Neelim Mazumder

Sune Holm

Daniele Ielmini

Nini Pryds

CoRR, 2021

PrivateSNN: Fully Privacy-Preserving Spiking Neural Networks.

[BibT_eX]

[DOI]

Yeshwanth Venkatesha

CoRR, 2021

Visual Explanations from Spiking Neural Networks using Interspike Intervals.

[BibT_eX]

[DOI]

CoRR, 2021

2020

Towards Privacy-Preserving Domain Adaptation.

[BibT_eX]

[DOI]

Donghyeon Cho

Sungeun Hong

IEEE Signal Process. Lett., 2020

NEAT: Non-linearity Aware Training for Accurate and Energy-Efficient Implementation of Neural Networks on 1T-1R Memristive Crossbars.

[BibT_eX]

[DOI]

Lakshya Bhatnagar

CoRR, 2020

Revisiting Batch Normalization for Training Low-latency Deep Spiking Neural Networks from Scratch.

[BibT_eX]

[DOI]

CoRR, 2020

Associative Partial Domain Adaptation.

[BibT_eX]

[DOI]

CoRR, 2020

Domain Adaptation without Source Data.

[BibT_eX]

[DOI]

CoRR, 2020

Partial Domain Adaptation Using Graph Convolutional Networks.

[BibT_eX]

[DOI]

CoRR, 2020

Combinational Class Activation Maps for Weakly Supervised Object Localization.

[BibT_eX]

[DOI]

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

RPM-Net: Robust Pixel-Level Matching Networks for Self-Supervised Video Object Segmentation.

[BibT_eX]

[DOI]

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

Self-Training Of Graph Neural Networks Using Similarity Reference For Robust Training With Noisy Labels.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Image Processing, 2020

Reinforcement Learning-Based Layer-Wise Quantization For Lightweight Deep Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Image Processing, 2020

Hi-CMD: Hierarchical Cross-Modality Disentanglement for Visible-Infrared Person Re-Identification.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

CNN-Based Semantic Segmentation Using Level Set Loss.

[BibT_eX]

[DOI]

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2019

Bilinear Siamese Networks with Background Suppression for Visual Object Tracking.

[BibT_eX]

[DOI]

Proceedings of the 30th British Machine Vision Conference 2019, 2019

2018

Weakly Supervised Semantic Segmentation Using Color Adjacency Loss.

[BibT_eX]

[DOI]

Proceedings of the IEEE Visual Communications and Image Processing, 2018

Modeling and position control of a high performance twisted-coiled polymer actuator.

[BibT_eX]

[DOI]

Proceedings of the 15th International Conference on Ubiquitous Robots, 2018

Soft Fabric Actuator for Robotic Applications.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018

Impedance Control of a High Performance Twisted-Coiled Polymer Actuator.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018

2008

Joint Kinetics and Lumbar Curvatures during Symmetric Lifting: Squat and Stoop.

[BibT_eX]

[DOI]

Seonhong Hwang