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Publication search results
found 70 matches
- 2024
- Young-Eun Kim, Yu-Won Lee, Seong-Whan Lee:
LC-MSM: Language-Conditioned Masked Segmentation Model for unsupervised domain adaptation. Pattern Recognit. 148: 110201 (2024) - Soowon Kim, Seo-Hyun Lee, Young-Eun Lee, Ji-Won Lee, Ji-Ha Park, Peter Kazanzides, Seong-Whan Lee:
Brain-Driven Representation Learning Based on Diffusion Model. BCI 2024: 1-4 - Seo-Hyun Lee, Young-Eun Lee, Soowon Kim, Byung-Kwan Ko, Jun-Young Kim:
Neural Speech Embeddings for Speech Synthesis Based on Deep Generative Networks. BCI 2024: 1-4 - Young-Eun Lee, Seo-Hyun Lee, Soowon Kim, Jung-Sun Lee, Deok-Seon Kim:
Enhanced Generative Adversarial Networks for Unseen Word Generation from EEG Signals. BCI 2024: 1-4 - Donghyun Lee, Ruokai Yin, Youngeun Kim, Abhishek Moitra, Yuhang Li, Priyadarshini Panda:
TT-SNN: Tensor Train Decomposition for Efficient Spiking Neural Network Training. DATE 2024: 1-6 - Wonsuk Jang, Youngeun Cho, Chang-Gun Lee:
Improved Conditionally Optimal DAG Task Parallelization for Global EDF. ICICT 2024: 117-125 - Minyoung Bae, Yooju Shin, Youngeun Nam, Youngseop Lee, Jae-Gil Lee:
Semi-Supervised Learning for Time Series Collected at a Low Sampling Rate. KDD 2024: 59-70 - Daniel Shrewsbury, Suneung Kim, Young-Eun Kim, Heejo Kong, Seong-Whan Lee:
Instance-Ambiguity Weighting for Multi-label Recognition with Limited Annotations. PAKDD (1) 2024: 156-167 - Youngeun Nam, Susik Yoon, Yooju Shin, Minyoung Bae, Hwanjun Song, Jae-Gil Lee, Byung Suk Lee:
Breaking the Time-Frequency Granularity Discrepancy in Time-Series Anomaly Detection. WWW 2024: 4204-4215 - Patara Trirat, Yooju Shin, Junhyeok Kang, Youngeun Nam, Jihye Na, Minyoung Bae, Joeun Kim, Byunghyun Kim, Jae-Gil Lee:
Universal Time-Series Representation Learning: A Survey. CoRR abs/2401.03717 (2024) - Donghyun Lee, Ruokai Yin, Youngeun Kim, Abhishek Moitra, Yuhang Li, Priyadarshini Panda:
TT-SNN: Tensor Train Decomposition for Efficient Spiking Neural Network Training. CoRR abs/2401.08001 (2024) - Dojun Park, Jiwoo Lee, Seohyun Park, Hyeyun Jeong, Youngeun Koo, Soonha Hwang, Seonwoo Park, Sungeun Lee:
MultiPragEval: Multilingual Pragmatic Evaluation of Large Language Models. CoRR abs/2406.07736 (2024) - Shiting Xiao, Yuhang Li, Youngeun Kim, Donghyun Lee, Priyadarshini Panda:
ReSpike: Residual Frames-based Hybrid Spiking Neural Networks for Efficient Action Recognition. CoRR abs/2409.01564 (2024) - Donghyun Lee, Yuhang Li, Youngeun Kim, Shiting Xiao, Priyadarshini Panda:
Spiking Transformer with Spatial-Temporal Attention. CoRR abs/2409.19764 (2024) - 2023
- Young-Eun Kim, Woo-Jeoung Nam, Kyungseo Min, Seong-Whan Lee:
Style selective normalization with meta learning for test-time adaptive face anti-spoofing. Expert Syst. Appl. 214: 119106 (2023) - Kyeongtak Han, Youngeun Kim, Dongyoon Han, Hojun Lee, Sungeun Hong:
TL-ADA: Transferable Loss-based Active Domain Adaptation. Neural Networks 161: 670-681 (2023) - Young-Eun Lee, Seo-Hyun Lee, Sang-Ho Kim, Seong-Whan Lee:
Towards Voice Reconstruction from EEG during Imagined Speech. AAAI 2023: 6030-6038 - Patara Trirat, Youngeun Nam, Taeyoon Kim, Jae-Gil Lee:
AnoViz: A Visual Inspection Tool of Anomalies in Multivariate Time Series. AAAI 2023: 16488-16490 - Soowon Kim, Ji-Won Lee, Young-Eun Lee, Seo-Hyun Lee:
Subject-Independent Classification of Brain Signals using Skip Connections. BCI 2023: 1-4 - Young-Eun Lee, Sang-Ho Kim, Seo-Hyun Lee, Jung-Sun Lee, Soowon Kim, Seong-Whan Lee:
Speech Synthesis from Brain Signals Based on Generative Model. BCI 2023: 1-4 - Seo-Hyun Lee, Young-Eun Lee, Soowon Kim, Byung-Kwan Ko, Seong-Whan Lee:
Towards Neural Decoding of Imagined Speech based on Spoken Speech. BCI 2023: 1-4 - Soowon Kim, Young-Eun Lee, Seo-Hyun Lee, Seong-Whan Lee:
Diff-E: Diffusion-based Learning for Decoding Imagined Speech EEG. INTERSPEECH 2023: 1159-1163 - Youngeun Nam, Patara Trirat, Taeyoon Kim, Youngseop Lee, Jae-Gil Lee:
Context-Aware Deep Time-Series Decomposition for Anomaly Detection in Businesses. ECML/PKDD (6) 2023: 330-345 - Ji-Won Lee, Seo-Hyun Lee, Young-Eun Lee, Soowon Kim, Seong-Whan Lee:
Sentence Reconstruction Leveraging Contextual Meaning from Speech-Related Brain Signals. SMC 2023: 3721-3726 - Young-Eun Lee, Seo-Hyun Lee, Sang-Ho Kim, Seong-Whan Lee:
Towards Voice Reconstruction from EEG during Imagined Speech. CoRR abs/2301.07173 (2023) - Soowon Kim, Ji-Won Lee, Young-Eun Lee, Seo-Hyun Lee:
Subject-Independent Classification of Brain Signals using Skip Connections. CoRR abs/2301.07918 (2023) - Soowon Kim, Young-Eun Lee, Seo-Hyun Lee, Seong-Whan Lee:
Diff-E: Diffusion-based Learning for Decoding Imagined Speech EEG. CoRR abs/2307.14389 (2023) - Soowon Kim, Seo-Hyun Lee, Young-Eun Lee, Ji-Won Lee, Ji-Ha Park, Seong-Whan Lee:
Brain-Driven Representation Learning Based on Diffusion Model. CoRR abs/2311.07925 (2023) - Young-Eun Lee, Seo-Hyun Lee, Soowon Kim, Jung-Sun Lee, Deok-Seon Kim, Seong-Whan Lee:
Enhanced Generative Adversarial Networks for Unseen Word Generation from EEG Signals. CoRR abs/2311.17923 (2023) - Yuhang Li, Youngeun Kim, Donghyun Lee, Priyadarshini Panda:
StableQ: Enhancing Data-Scarce Quantization with Text-to-Image Data. CoRR abs/2312.05272 (2023)
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