Youngeun Kim
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
27
Venues
14
Active years
2018–2026
Best venue rank
A*
Where they publish
Papers
27 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | DATE | MD-SNN: Membrane Potential-aware Distillation on Quantized Spiking Neural Network. | Donghyun Lee, Abhishek Moitra, Youngeun Kim, Ruokai Yin, Priyadarshini Panda |
| 2025 | CVPR | Spiking Transformer with Spatial-Temporal Attention. | Donghyun Lee, Yuhang Li, Youngeun Kim, Shiting Xiao, Priyadarshini Panda |
| 2025 | ICCV | Task Vector Quantization for Memory-Efficient Model Merging. | Youngeun Kim, Seunghwan Lee, Aecheon Jung, Bogon Ryu, Sungeun Hong |
| 2024 | DATE | TT-SNN: Tensor Train Decomposition for Efficient Spiking Neural Network Training. | Donghyun Lee, Ruokai Yin, Youngeun Kim, Abhishek Moitra, Yuhang Li, Priyadarshini Panda |
| 2024 | ECCV | Open-World Dynamic Prompt and Continual Visual Representation Learning. | Youngeun Kim, Jun Fang, Qin Zhang, Zhaowei Cai, Yantao Shen, Rahul Duggal, Dripta S. Raychaudhuri, Zhuowen Tu, Yifan Xing, Onkar Dabeer |
| 2024 | ECCV | One-Stage Prompt-Based Continual Learning. | Youngeun Kim, Yuhang Li, Priyadarshini Panda |
| 2024 | ECCV | GenQ: Quantization in Low Data Regimes with Generative Synthetic Data. | Yuhang Li, Youngeun Kim, Donghyun Lee, Souvik Kundu, Priyadarshini Panda |
| 2024 | MICRO | LoAS: Fully Temporal-Parallel Dataflow for Dual-Sparse Spiking Neural Networks. | Ruokai Yin, Youngeun Kim, Di Wu, Priyadarshini Panda |
| 2023 | AAAI | Exploring Temporal Information Dynamics in Spiking Neural Networks. | Youngeun Kim, Yuhang Li, Hyoungseob Park, Yeshwanth Venkatesha, Anna Hambitzer, Priyadarshini Panda |
| 2023 | DAC | XPert: Peripheral Circuit & Neural Architecture Co-search for Area and Energy-efficient Xbar-based Computing. | Abhishek Moitra, Abhiroop Bhattacharjee, Youngeun Kim, Priyadarshini Panda |
| 2022 | AAAI | PrivateSNN: Privacy-Preserving Spiking Neural Networks. | Youngeun Kim, Yeshwanth Venkatesha, Priyadarshini Panda |
| 2022 | DATE | Gradient-based Bit Encoding Optimization for Noise-Robust Binary Memristive Crossbar. | Youngeun Kim, Hyunsoo Kim, Seijoon Kim, Sang Joon Kim, Priyadarshini Panda |
| 2022 | ECCV | Neural Architecture Search for Spiking Neural Networks. | Youngeun Kim, Yuhang Li, Hyoungseob Park, Yeshwanth Venkatesha, Priyadarshini Panda |
| 2022 | ECCV | Exploring Lottery Ticket Hypothesis in Spiking Neural Networks. | Youngeun Kim, Yuhang Li, Hyoungseob Park, Yeshwanth Venkatesha, Ruokai Yin, Priyadarshini Panda |
| 2022 | ECCV | Neuromorphic Data Augmentation for Training Spiking Neural Networks. | Yuhang Li, Youngeun Kim, Hyoungseob Park, Tamar Geller, Priyadarshini Panda |
| 2022 | ICASSP | Rate Coding Or Direct Coding: Which One Is Better For Accurate, Robust, And Energy-Efficient Spiking Neural Networks? | Youngeun Kim, Hyoungseob Park, Abhishek Moitra, Abhiroop Bhattacharjee, Yeshwanth Venkatesha, Priyadarshini Panda |
| 2022 | ISLPED | Examining the Robustness of Spiking Neural Networks on Non-ideal Memristive Crossbars. | Abhiroop Bhattacharjee, Youngeun Kim, Abhishek Moitra, Priyadarshini Panda |
| 2020 | CVPR | Hi-CMD: Hierarchical Cross-Modality Disentanglement for Visible-Infrared Person Re-Identification. | Seokeon Choi, Sumin Lee, Youngeun Kim, Taekyung Kim, Changick Kim |
| 2020 | ICIP | Reinforcement Learning-Based Layer-Wise Quantization For Lightweight Deep Neural Networks. | Juri Jung, Jonghee Kim, Youngeun Kim, Changick Kim |
| 2020 | ICIP | Self-Training Of Graph Neural Networks Using Similarity Reference For Robust Training With Noisy Labels. | Hyoungseob Park, Minki Jeong, Youngeun Kim, Changick Kim |
| 2020 | WACV | RPM-Net: Robust Pixel-Level Matching Networks for Self-Supervised Video Object Segmentation. | Youngeun Kim, Seokeon Choi, Hankyeol Lee, Taekyung Kim, Changick Kim |
| 2020 | WACV | Combinational Class Activation Maps for Weakly Supervised Object Localization. | Seunghan Yang, Yoonhyung Kim, Youngeun Kim, Changick Kim |
| 2019 | BMVC | Bilinear Siamese Networks with Background Suppression for Visual Object Tracking. | Hankyeol Lee, Seokeon Choi, Youngeun Kim, Changick Kim |
| 2019 | WACV | CNN-Based Semantic Segmentation Using Level Set Loss. | Youngeun Kim, Seunghyeon Kim, Taekyung Kim, Changick Kim |
| 2018 | IROS | Impedance Control of a High Performance Twisted-Coiled Polymer Actuator. | Tuan Anh Luong, Kihyeon Kim, Sung-Won Seo, Jae Hyeong Park, Youngeun Kim, Sang Yul Yang, Kyeong Ho Cho, Ja Choon Koo, Hyouk Ryeol Choi, Hyungpil Moon |
| 2018 | IROS | Soft Fabric Actuator for Robotic Applications. | Sang Yul Yang, Kyeong Ho Cho, Youngeun Kim, Kihyeon Kim, Jae Hyeong Park, Hosang Jung, Jeong U. Ko, Hyungpil Moon, Ja Choon Koo, Hugo Rodrigue, Ji Won Suk, Jaedo Nam, Hyouk Ryeol Choi |
| 2018 | VCIP | Weakly Supervised Semantic Segmentation Using Color Adjacency Loss. | Youngeun Kim, Taekyung Kim, Seunghyeon Kim, Changick Kim |