Embedded Files
2023
2023
[2023.03.03] Soomin Chung (presentation link) Keyword: Supervised learning, Loss
• Supervised contrastive learning. Adveances in neural information processing systems 33 (2020) (link)[2023.03.10] Junmo Kim (presentation link) Keyword: Continual Learning, Prompt-based Learning
• Learning To Prompt for Continual Learning. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (2022) (link)
[2023.03.24] Jisoo Lee (presentation link) Keyword: Diffusion model, Generative model
• Denoising Diffusion Probabilistic Model. Adveances in neural information processing systems 33 (2020) (link)
[2023.03.31] Jungyun Oh (presentation link) Keyword: Self-Supervised Learning, Anomaly Detection
• Self-Supervised Predictive Convolutional Attentive Block for Anomaly Detection. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (pp. 13576-13586).(2022) (link)
[2023.04.07] Doyun Kwon (presentation link) Keyword: Continual learning, Training regiems
• Understanding the role of training regimes in continual learning. Advances in Neural Information Processing Systems 33 (pp. 7308-7320).(2020) (link)
[2023.05.03] Soomin Chung (presentation link) Keyword: Curriculum learning, Robust learning
• Robust curriculum learning: from clean label detection to noisy label self-correction. International Conference on Learning Representations, (2021) (link)
[2023.05.12] Junmo Kim (presentation link) Keyword: Multimodal data, Pretrained model, MIMIC-IV
• Integrated multimodal artificial intelligence framework for healthcare applications. NPJ Digital Medicine, 5, 149 (2022) (link)
[2023.05.19] Sayoon Park (presentation link) Keyword: Audio self-supervised learning, Quantization module
• wav2vec 2.0: A framework for self-supervised learning of speech representations. Advances in Neural Information Processing Systems 33 (2020) (link)
[2023.05.26] Jisoo Lee (presentation link) Keyword: Contrastive Learning, Time-series representation learning
• TS2Vec: Towards Universal Representation of Time Series. Proceedings of the AAAI Conference on Artificial Intelligence 36, 8 (2022) (link)
[2023.06.16] Jungyun Oh (presentation link) Keyword: Multi-Time Attention Networks, Irregularly Multivariate Time-series
• Multi-time attention networks for irregularly sampled time series. arXiv preprint arXiv:2101.10318. (2021) (link)
[2023.06.23] Doyun Kwon (presentation link) Keyword: Transformer, Pre-trained Model
• A foundational vision transformer improves diagnostic performance for electrocardiograms. NPJ Digital Medicine, 6(1), 108. (2023) (link)
[2023.07.14] Soomin Chung (presentation link) Keyword : Time-series, Transformer, Representation learning
• TARNet: Task-Aware Reconstruction for Time-Series Transformer . Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, (pp. 212-220). (2022) (link)
[2023.07.21] Junmo Kim (presentation link) Keyword : Calibration
• A tutorial on calibration measurements and calibration models for clinical prediction models. Journal of the American Medical Informatics Association, 27(4) (2020) (link)
[2023.07.28] Sayoon Park (presentation link) Keyword : Audio spectrogram transformer, Self-supervised pretraining
• SSAST: Self-Supervised Audio Spectrogram Transformer. Proceedings of the AAAI Conference on Artificial Intelligence, 36, 10 (2022) (link)
[2023.08.04] Jisoo Lee (presentation link) Keyword : Tree-based models, Tabular data
• Why do tree-based models still outperform deep learning on typical tabular data? Advances in Neural Information Processing Systems, 35 (2022) (link)
[2023.08.11] Jungyun Oh (presentation link) Keyword : Semantic segmentation, Transformer
• Per-Pixel Classification is Not All You Need for Semantic Segmentation, Advances in Neural Information Processing Systems, 34 (2021) (link)
[2023.08.18] Doyun Kwon (presentation link) Keyword : Self-supervised learning, Transformer
• Masked autoencoders are scalable vision learners. Proceedings of the IEEE/CVF conference on computer vision and pattern recognition, (pp. 16000-16009) (2022) (link)
[2023.08.25] Soomin Chung (presentation link) Keyword : Longitudinal study, EHR, GAN
• Clinical-GAN : Trajectory Forecasting of Clinical Events using Transformer and Generative Adversarial Networks. Artificial Intelligence in Medicine, 138 (2023) (link)
[2023.09.01] Junmo Kim (presentation link) Keyword : Causal inference
• Toward Causal Representation Learning. Proceedings of the IEEE, 109, 5 (2021) (link)
[2023.09.07] Sayoon Park (presentation link) Keyword : Self-supervised learning
• Self-supervised learning in medicine and healthcare. Nature Biomedical Engineering, 6, 12 (2022) (link)
[2023.09.21] Jisoo Lee (presentation link) Keyword : Multimodal self-supervised learning, Transformer
• VATT : Transformers for Multimodal Self-Supervised Learning from Raw Video, Audio and Text. Advances in Neural Information Processing Systems, 34 (2021) (link)
[2023.10.05] Jungyun Oh (presentation link) Keyword : CNN based model refinements
• Bag of Tricks for Image Classification with Convolutional Neural Networks. Proceedings of the IEEE/CVF conference on computer vision and pattern recognition, (pp. 558-567) (2019) (link)
[2023.10.12] Doyun Kwon (presentation link) Keyword : Multi-modal, Transformer
• Multimodal Learning with Transformers: A Survey. IEEE Transactions on Pattern Analysis and Machine Intelligence, (2023) (link)
[2023.10.19] Sumin Chung (presentation link) Keyword : Pretraining, BERT, ECG Language Processing
• ECGBERT: Understanding Hidden Language of ECGs with Self-Supervised Representation Learning. arXiv preprint, (2023) (link)
[2023.11.2] Junmo Kim (presentation link) Keyword :
• Learning of Cluster-based Feature Importance for Electronic Health Record Time-series. International Conference on Machine Learning, PMLR, (pp. 161-179) (2022) (link)
[2023.11.9] Sayoon Park (presentation link) Keyword : Auscultation sound, Deep learning
• DeepBreath—automated detection of respiratory pathology from lung auscultation in 572 pediatric outpatients across 5 countries. NPJ digital medicine, 6, 1 (2023) (link)
[2023.11.16] Jisoo Lee (presentation link) Keyword : Self-/Semi- Supervised Learning, Tabular data
• VIME: Extending the Success of Self- and Semi-supervised Learning to Tabular Domain. Advances in Neural Information Processing Systems, 33, (2020) (link)
[2023.11.23] Jungyun Oh (presentation link) Keyword : Time series forecasting, Isometric convolution
• MICN: Multi-scale Local and Global Context Modeling for Long-term Series Forecasting. International Conference on Learning Representations, (2023) (link)
[2023.12.14] Doyun Kwon (presentation link) Keyword : Self-supervised learning, Masked Time-series Modeling
• SimMTM: A Simple Pre-Training Framework for Masked Time-Series Modeling. Advances in Neural Information Processing Systems, (2023) (link)
[2023.12.21] Sumin Chung (presentation link) Keyword : Domain transfer, pretraining
• One Fits All:Power General Time Series Analysis by Pretrained LM. Advances in Neural Information Processing Systems, (2023) (link)
2024
2024
[2024.01.10] Junmo Kim (presentation link) Keyword: Digital Twin, Electronic Health Records(EHR), Pre-training
• About Digital Twin & Pretrained EHR - (1)[2024.01.10] SaYoon Park (presentation link) Keyword: EEG, Self-supervised learning, Pre-trained model
• Neuro-GPT: Developing A Foundation Model for EEG. arXiv preprint (2023) (link)[2024.01.17] Jisoo Lee (presentation link) Keyword: Multi-modal self-spervised learning, Time series
• Sequential Multi-Dimensional Self-Supervised Learning for Clinical Time Series. International Conference on Machine Learning (pp. 28531-28548) (2023) (link)[2024.01.17] Jungyun Oh (presentation link) Keyword: Pruning, Depth-wise convolution
• Pruning-as-Search: Efficient Neural Architecture Search via Channel Pruning and Structural Reparameterization. Thirty-First International Joint Conference on Artificial Intelligence (2022) (link)[2024.01.24] Doyun Kwon (presentation link) Keyword: Transformer, Self-supervised learning, Forecasting
• A Time Series is Worth 64 Words: Long-term Forecasting with Transformer. The Eleventh International Conference on Learning Representations (2023) (link)[2024.01.24] Soomin Chung (presentation link) Keyword: Time series, Transformer, Multi-variate
• iTransformer: Inverted Transformers Are Effective for Time Series Forecasting. The Twelfth International Conference on Learning Representations (2024) (link)[2024.01.31] Dareen Eom (presentation link) Keyword: Selective prediction, Self-evaluation, Soft prompt tuning
• Adaptation with Self-Evaluation to Improve Selective Prediction in LLMs. Conference on Empirical Methods in Natural Language Processing (2023) (link)[2024.01.31] Chaiho Shin (presentation link) Keyword: Large corpus similarity search, In-context pre-training
• In-Context Pretraining: Language Modeling Beyond Document Boundaries. The Twelfth International Conference on Learning Representations (2024) (link)[2024.02.07] Junmo Kim (presentation link) Keyword: Digital Twin, Electronic Health Records(EHR), Pre-training
• About Digital Twin & Pretrained EHR - (2)[2024.02.07] Sayoon Park (presentation link) Keyword: Self-supervised learning, Phonocardiogram (PCG)
• On the Out-Of-Distribution Robustness of Self-Supervised Representation Learning for Phonocardiogram Signals. arXiv preprint (2023) (link)[2024.02.14] Jisoo Lee (presentation link) Keyword: Adversarial fine-tuning, Diffusion probabilistic model, Respiratory sound
• Adversarial Fine-tuning using Generated Respiratory Sound to Address Class Imbalance. Deep Generative Models for Health Workshop NeurIPS (2023) (link)[2024.02.14] Jungyun Oh (presentation link) Keyword: Unsupervised representation learning, Temporal neighborhood
• Unsupervised Representation Learning for Time Series with Temporal Neighborhood Coding. International Conference on Learning Representations (2021) (link)[2024.02.21] Doyun Kwon (presentation link) Keyword: LLM, Multi-modal, Forecasting
• Time-LLM: Time Series Forecasting by Reprogramming Large Language Models. International Conference on Learning Representations (2024) (link)[2024.02.21] Soomin Chung (presentation link) Keyword: Self-supervised learning, Contrastive learning, Masked modeling
• Contrastive Masked Autoencoders are Stronger Vision Learners. IEEE Transactions on Pattern Analysis and Machine Intelligence (2023) (link)[2024.02.28] Chaiho Shin (presentation link) Keyword: Representation learning, Compositional operations in embedding space, Contrastive objective
• Bridging Continuous and Discrete Spaces: Interpretable Sentence Representation Learning via Compositional Operations. Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing (2023) (link)[2024.02.28] Dareen Eom (presentation link) Keyword: LLM, Reasoning capability, Negative data
• Turning Dust into Gold: Distilling Complex Reasoning Capabilities from LLMs by Leveraging Negative Data. Thirty-Eighth AAAI Conference on Artificial Intelligence (2024) (link)[2024.03.08] Kyuhee Lim (presentation link) Keyword: Keyword extraction, Keyword generation, Contrastive learning
• SimCKP: Simple Contrastive Learning of Keyphrase Representations. The 2023 Conference on Empirical Methods in Natural Language Processing. (2023) (link)[2024.03.15] Dongwoo Hyeon (presentation link) Keyword: Histopathology , Image retrieval, Self-supervised learning, Feature extraction
• RetCCL: Clustering-guided contrastive learning for whole-slide image retrieval. Medical Image Analysis. (2023) (link)[2024.03.15] Jisoo Lee (presentation link) Keyword: Biosignal, Cross-data Learning, Transformer
• BIOT: Biosignal Transformer for Cross-data Learning in the Wild. Advances in Neural Information Processing Systems. (2024) (link)[2024.03.22] Sayoon Park (presentation link) Keyword: Object detection
• Rethinking Pseudo Labels for Semi-supervised Object Detection. AAAI conference on artificial intelligence 36, 2 (pp. 1314-1322). (2024) (link)[2024.03.22] Junmo Kim (presentation link)
• 논문 제출부터 게재까지의 프로세스[2024.03.29] Jungyun Oh (presentation link) Keyword: Data pruning
• Deep Learning on a Data Diet: Finding Important Examples Early in Training. Advances in Neural Information Processing Systems. (2021) (link)[2024.03.29] Doyun Kwon (presentation link) Keyword: Contrastive learning, Foundation model, Biosignals
• Large-scale Training of Foundation Models for Wearable Biosignals. International Conference on Learning Representations. (2024) (link)[2024.04.05] Soomin Chung (presentation link) Keyword: SSL, MiM, CNN
• Designing BERT for Convolutional Networks: Sparse and Hierarchical Masked Modeling. International Conference on Learning Representations. (2023) (link)[2024.04.05] Chaiho Shin (presentation link) Keyword: LLM based dataset construction, LLM based evaluation
• Gecko: Versatile Text Embeddings Distilled from Large Language Models. arXiv preprint. (2024) (link)[2024.04.12] Dareen Eom (presentation link) Keyword: Evolutionary algorithm, Prompt engineering
• Connecting Large Language Models with Evolutionary Algorithms Yields Powerful Prompt Optimizers. nternational Conference on Learning Representations (2024) (link)[2024.04.12] Kyuhee Lim (presentation link) Keyword: DEFT, LoRA, Active learning
• STAR: Constraint LoRA with Dynamic Active Learning for Data-Efficient Fine-Tuning of Large Language Models. arXiv preprint. (2024) (link)[2024.05.03] Sayoon Park (presentation link) Keyword: Online active learning, Deep learning
• Online Active Learning For Sound Event Detection. arXiv preprint. (2023) (link)[2024.05.10] Junmo Kim (presentation link) Keyword: Drug recommendation, Electronic Health Record, Graph attention network, Transformer
• REFINE: A Fine-Grained Medication Recommendation System Using Deep Learning and Personalized Drug Interaction Modeling. Advances in Neural Information Processing Systems. (2024) (link)[2024.05.10] Jisoo Lee (presentation link) Keyword: SSL, Periodic video
• CycleCL: Self-supervised Learning for Periodic Videos. IEEE/CVF Winter Conference on Applications of Computer Vision (pp. 2861-2870). (2024) (link)[2024.05.17] Jungyun Oh (presentation link) Keyword: Continuous sampling, Interval sampling, MLP
• Less Is More: Fast Multivariate Time Series Forecasting with Light Sampling-oriented MLP Structures. arXiv preprint. (2022) (link)[2024.05.17] Doyun Kwon (presentation link) Keyword: Masked modeling, Foundation model, Forecasting
• Unified Training of Universal Time Series Forecasting Transformers. arXiv preprint. (2024) (link)[2024.05.24] Soomin Chung (presentation link) Keyword: Longitudinal ECG, LMM
• Development and validation of a dynamic deep learning algorithm using electrocardiogram to predict dyskalaemias in patients with multiple visits . European Heart Journal-Digital Health, 4(1), 22-32 . (2023) (link)[2024.05.24] Chaiho Shin (presentation link) Keyword: MLM, Sentence representation
• Representation Deficiency in Masked Language Modeling. arXiv preprint. (2023) (link)[2024.05.31] Dareen Eom (presentation link) Keyword: Prompt Compression, Question-aware, LLM
• LongLLMLingua: Accelerating and Enhancing LLMs in Long Context Scenarios via Prompt Compression. The 62nd Annual Meeting of the Association for Computational Linguistics and ICLR 2024 Workshop on Mathematical and Empirical Understanding of Foundation Models. (2024) (link)[2024.05.31] Kyuhee Lim (presentation link) Keyword: LLM, SQL Generation
• Knowledge-to-SQL: Enhancing SQL Generation with Data Expert LLM. arXiv preprint. (2024) (link)[2024.06.07] Sayoon Park (presentation link) Keyword: EHR, Transformer, Explainable AI
• ExBEHRT: Extended Transformer for Electronic Health Records to Predict Disease Subtypes & Progressions. International Workshop on Trustworthy Machine Learning for Healthcare. (2023) (link)[2024.06.07] Junmo Kim (presentation link) Keyword: EHR foundation model
• Foresight—a generative pretrained transformer for modelling of patient timelines using electronic health records: a retrospective modelling study. The Lancet Digital Health, 6(4), e281-e290. (2024) (link)[2024.06.14] Jisoo Lee (presentation link) Keyword: Audio signal, Multi-instance learning (MIL) with attention mechanism, Transfer learning
• Listen2cough: Leveraging end-to-end deep learning cough detection model to enhance lung health assessment using passively sensed audio. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, 5(1), 1-22. (2021) (link)[2024.06.14] Jungyun Oh (presentation link) Keyword: STAD module, MLP
• SOFTS: Efficient Multivariate Time Series Forecasting with Series-Core Fusion. arXiv preprint. (2024) (link)[2024.07.01] Chaiho Shin (presentation link) Keyword: EHR based RAG
• RAM-EHR:Retrieval Augmentation Meets Clinical Predictions on Electronic Health Records. arXiv preprint. (2024) (link)[2024.07.01] Dareen Eom (presentation link) Keyword: LLM inference, parallel decoding, bottleneck
• Medusa: Simple LLM Inference Acceleration Framework with Multiple Decoding Heads. International Conference on Machine Learning. (2024) (link)[2024.07.08] Kyuhee Lim (presentation link) Keyword: TOD(Task-oriented Dialogue) task, prompt engineering
• An Adaptive Prompt Generation Framework for Task-oriented Dialogue System. Findings of the Association for Computational Linguistics: EMNLP 2023 (pp. 1078-1089). (2023) (link)[2024.07.08] Junmo Kim (presentation link) Keyword: EHR foundation model
• A multi-center study on the adaptability of a shared foundation model for electronic health records. npj Digital Medicine, 7(1), 171. (2024) (link)[2024.07.15] Sayoon Park (presentation link) Keyword: Self-supervised learning, Active learning
• Active Learning Guided Fine-Tuning for enhancing Self-Supervised Based Multi-Label Classification of Remote Sensing Images. IGARSS 2023-2023 IEEE International Geoscience and Remote Sensing Symposium (pp. 4986-4989). (2023) (link)[2024.07.15] Jiwon Kim (presentation link) Keyword: LLM, Information Extraction, In-Context Learning
• Guideline Learning for In-Context Information Extraction. The 2023 Conference on Empirical Methods in Natural Language Processing. (2023) (link)[2024.07.22] Yelin Kim (presentation link) Keyword: Self-supervised learning, masked prediction, audio, general-purpose audio representation, specialization
• Masked Modeling Duo: Towards a Universal Audio Pre-Training Framework. IEEE/ACM Transactions on Audio, Speech, and Language Processing. (2024) (link)[2024.07.22] Jisoo Lee (presentation link) Keyword: ECG representation learning, Contrastive learning, Generative learning
• Lead-agnostic Self-supervised Learning for Local and Global Representations of Electrocardiogram. Conference on Health, Inference, and Learning (pp. 338-353) (2022) (link)
• Guiding Masked Representation Learning to Capture Spatio-Temporal Relationship of Electrocardiogram. The Twelfth International Conference on Learning Representations. (2024) (link)
• Foundation Models for Electrocardiogram. arXiv preprint. (2024) (link)[2024.07.29] Minjung Kang (presentation link) Keyword: Interpretability, Multiple Instance Learning, Digital Pathology
• Additive MIL: Intrinsically Interpretable Multiple Instance Learning for Pathology. Advances in Neural Information Processing Systems, 35 (2022) (link)[2024.07.29] Taehyun Kim (presentation link) Keyword: Pediatric ECG
• Pediatric sex estimation using AI-enabled ECG analysis: influence of pubertal development. npj Digital Medicine, 7(1), 176 (2024) (link)[2024.08.05] Donghyeon Seo (presentation link) Keyword: Self-supervised learning, Masked time series modeling, Patch independence
• Learning to Embed Time Series Patches Independently. The Twelfth International Conference on Learning Representations (2024) (link)[2024.08.05] Chaeeun Cho (presentation link) Keyword: Peadiatric holter, Mortality prediction
• Electrocardiographic deep learning for predicting post-procedural mortality: a model development and validation study. Lancet Digital Health, 6(1), e70-e78 (2024) (link)[2024.08.12] Junmo Kim (presentation link) Keyword: Backpropagation, Multi-gpu
• Backpropagation and multigpu[2024.08.12] Sayoon Park (presentation link) Keyword: Self-supervised learning, ECG augmentation
• Self-supervised ECG pre-training. Biomedical Signal Processing and Control, 70, 10301 (2021) (link)[2024.08.19] Yelin Kim (presentation link) Keyword: Active learning, Query Strategy, Derivative-based Test
• How to select which active learning strategy is best suited for your specific problem and budget. Advances in Neural Information Processing Systems, 36 (2024) (link)[2024.08.19] Jisoo Lee (presentation link) Keyword: Time series Contrastive learning
• Lead-agnostic Self-supervised Learning for Local and Global Representations of Electrocardiogram. Advances in Neural Information Processing Systems, 36 (2024) (link)[2024.08.26] Minjung Kang (presentation link) Keyword: Attention based MIL, Multi-scale, Pathology
• Cross-scale multi-instance learning for pathological image diagnosis. Medical image analysis, 94, 103124 (2024) (link)[2024.08.26] Taehyun Kim (presentation link) Keyword: Cross-Channel Embedding, Multi-Granularity Attention
• Medformer: A Multi-Granularity Patching Transformer for Medical Time-Series Classification. arXiv preprint (2024) (link)[2024.09.02] Donghyeon Seo (presentation link) Keyword: Multi-instance learning, Long-term ECG
• Cross-modal multiscale multi-instance learning for long-term ECG classification. Information Sciences, 643, 119230 (2023) (link)[2024.09.02] Chaeeun Cho (presentation link) Keyword: Blood pressure prediction, RF feature selection
• Continuous blood pressure monitoring using photoplethysmography and electrocardiogram signals by random forest feature selection and GWO-GBRT prediction model. Biomedical Signal Processing and Control, 88, 105354 (2024) (link)[2024.09.09] Junmo Kim (presentation link) Keyword: Eletronic Health Record, Recurrent Neural Network, Antibiotics, Clostridioides difficile infection
• Deep learning-based prediction of Clostridioides difficile infection caused by antibiotics using longitudinal electronic health records. NPJ Digital Medicine, 7(1), 224 (2024) (link)[2024.09.23] Sayoon Park (presentation link) Keyword: 12 lead ECG, Self-Supervised Learning, Data Augmentation
• Practical intelligent diagnostic algorithm for wearable 12-lead ECG via self-supervised learning on large-scale dataset. Nature Communications, 14(1), 3741 (2023) (link)[2024.09.30] Jisoo Lee (presentation link) Keyword: Multi-Lead ECG, Self-Supervised Learning
• Reading Your Heart: Learning ECG Words and Sentences via Pre-training ECG Language Model. Artificial Intelligence and Data Science for Healthcare: Bridging Data-Centric AI and People-Centric Healthcare (2024) (link)[2024.10.07] Yelin Kim (presentation link) Keyword: Time Series Classification, Contrastive Learning, Augmentation, Signal Decomposition, Self-Supervised Learning
• Guidelines for Augmentation Selection in Contrastive Learning for Time Series Classification. arXiv preprint (2024) (link)[2024.10.14] Taehyun Kim (presentation link) Keyword: Tabular data, GBDT, TabFPN
• When do neural nets outperform boosted trees on tabular data. Advances in Neural Information Processing Systems (2024) (link)[2024.10.21] Minjung Kang (presentation link) Keyword: Multiple Instance Learning, Data Augmentation, Pathology
• Pseudo-Bag Mixup Augmentation for Multiple Instance Learning-Based Whole Slide Image Classification. IEEE Transactions on Medical Imaging (2024) (link)[2024.10.28] Donghyeon Seo (presentation link) Keyword: Pediatric ECG, Echocardiography
• Pediatric ECG-Based Deep Learning to Predict Left Ventricular Dysfunction and Remodeling. Circulation, 149(12) (2023) (link)[2024.11.04] Chaeeun Cho (presentation link) Keyword:
• Machine-learning-derived online prediction models of outcomes for patients with cholelithiasis-induced acute cholangitis: development and validation in two retrospective cohorts. EClinicalMedicine, 76 (2024) (link)[2024.11.11] Sungyun Kim (presentation link) Keyword: Computer Vision, Local feature matching
• LightGlue: Local Feature Matching at Light Speed. Proceedings of the IEEE/CVF International Conference on Computer Vision (pp. 17627-17638) (2023) (link)[2024.11.18] Junmo Kim (presentation link) Keyword: time series, multimodal, ehr
• Temporal cross-attention for dynamic embedding and tokenization of multimodal electronic health records. ICLR 2024 Workshop on Learning from Time Series For Health (2024) (link)[2024.11.25] Sayoon Park (presentation link) Keyword: 24h Holter ECG, Signals without Arrhythmia, Atrial fibrillation risk stratification
• Prediction of atrial fibrillation from at-home single-lead ECG signals without arrhythmias. NPJ Digital Medicine, 6(1), 229 (2023) (link)[2024.12.02] Jisoo Lee (presentation link) Keyword: Zero-shot Learning, Patient Health Timeline, Foundation Model
• Zero shot health trajectory prediction using transformer. NPJ Digital Medicine, 7(1), 256 (2024) (link)[2024.12.09] Yelin Kim (presentation link) Keyword: domain adaptation, contrastive learning, time-series
• Contrastive Domain Adaptation for Time-Series via Temporal Mixup. IEEE Transactions on Artificial Intelligence (2023) (link)
• Recall and Refine: A Simple but Effective Source-free Open-set Domain Adaptation Framework. arXiv preprint (2024) (link)[2024.12.16] Minjung Kang (presentation link) Keyword: Multiple Instance Learning, Multi-Scale, Contrastive Learning, Pathology
• Multi-scale multi-instance contrastive learning for whole slide image classification. Engineering Applications of Artificial Intelligence, 138, 109300 (2024) (link)[2024.12.23] Taehyun Kim (presentation link) Keyword: multimodal contrastive learning, tabular data, integrated gradients
• Best of Both Worlds: Multimodal Contrastive Learning with Tabular and Imaging Data. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (2023) (link)
2025
2025
[2025.01.06] Donghyeon Seo (presentation link) Keyword: source-free domain adaptation, selective pseudo-labelling, curriculum learning
• C-SFDA: A Curriculum Learning Aided Self-Training Framework for Efficient Source Free Domain Adaptation. IEEE/CVF Conference on Computer Vision and Pattern Recognition (2023) (link)[2025.01.20] Chaeeun Cho (presentation link) Keyword: Self-supervised Learning, Tabular Data, Binning
• Binning as a Pretext Task: Improving Self-Supervised Learning in Tabular Domains. International Conference on Machine Learning (2024) (link)[2025.02.03] Sungyun Kim (presentation link) Keyword: Fast Attention, GPU Optimization, Low-precision
• FlashAttention-3: Fast and Accurate Attention with Asynchrony and Low-precision. arXiv preprint (2024) (link)[2025.02.10] Junmo Kim (presentation link) Keyword: Electornic health records,Iirregular time series, Language model, Multimodal
• Improving Medical Predictions by Irregular Multimodal Electronic Health Records Modeling. International Conference on Machine Learning (2023) (link)[2025.02.17] Sayoon Park (presentation link) Keyword:
• Semi-supervised domain generalization with evolving intermediate domain. Pattern Recognition (2024) (link)[2025.02.24] Yelin Kim (presentation link) Keyword: Universal Domain Adaptation, Semi-supervised Domain Adaptation, Pseudo-Label Refinement
• Universal Semi-Supervised Domain Adaptation by Mitigating Common-Class Bias. IEEE/CVF Conference on Computer Vision and Pattern Recognition (2024) (link)[2025.03.10] Minjung Kang (presentation link) Keyword: Digital Pathology, Multiple Instance Learning, Transformer based Feature Re-embedding
• Feature Re-Embedding: Towards Foundation Model-Level Performance in Computational Pathology. IEEE/CVF Conference on Computer Vision and Pattern Recognition (2024) (link)[2025.03.17] Donghyeon Seo (presentation link) Keyword: Electrocardiogram, Foundation Model, Self-supervised Learning
• Foundation Models in Electrocardiogram: A Review. arXiv preprint (2024) (link)[2025.03.24] Chi Shin Hwang (presentation link) Keyword: Feature extraction, Hypotension, Intraoperative Monitoring, Interpretable Deep Learning, Signal Processing
• Intraoperative hypotension prediction based on features automatically generated within an interpretable deep learning model. IEEE Transactions on Neural Networks and Learning Systems (2023) (link)[2025.03.31] Sungyun Kim (presentation link) Keyword: Electrocardiogram, Multimodal, Masked Autoencoder, Self-supervised Learning
• Bimodal Masked Autoencoders with internal representation connections for electrocardiogram classification. Pattern Recognition, 161, 111311. (2025) (link)[2025.04.07] Byeong Tak Lee (presentation link) Keyword: 머신러닝 파이프라인, AutoML, MLOps
• 머신러닝 파이프라인과 MLOps[2025.04.21] Dong Gyun Kang (presentation link) Keyword: Causal Inference, Target Trial Emulation, Longitudinal Study Design
• The target trial framework for causal inference from observational data: why and when is it helpful?. Annals of Internal Medicine, 178(3), 402-407. (2025) (link)[2025.04.28] Junmo Kim (presentation link) Keyword: EHR foundation model
• MedRep: Medical Concept Representation for General Electronic Health Record Foundation Models. arXiv preprint (2025) (link)[2025.05.12] Donghyeon Seo (presentation link) Keyword: Multiple Instance Learning, Multivariate Time Series Classification
• TimeMIL: Advancing multivariate time series classification via a time-aware multiple instance learning. International Conference on Machine Learning (2024) (link)[2025.05.19] Yohan Lee (presentation link) Keyword: Out-of-Distribution Generalization, Domain Adaptation, Test-Time Adaptation, Entropy Minimization
• Towards Stable Test-Time Adaptation in Dynamic Wild World. International Conference on Learning Representations (2023) (link)[2025.05.26] Sungyun Kim (presentation link) Keyword: SSL, Embeddings Evaluate, KNN, K-means
• Using representation expressiveness and learnability to evaluate self-supervised learning methods. Transactions of Machine Learning Research (2023) (link)[2025.06.02] Byeong Tak Lee (presentation link) Keyword: Adversarial Data Augmentation, Domain Generalization
• Generalizing to unseen domains via adversarial data augmentation. Advances in neural information processing systems. (2018) (link)[2025.06.09] Chi Shin Hwang (presentation link) Keyword: Time Series Analysis, Deep Learning
• Moderntcn: A modern pure convolution structure for general time series analysis. International Conference on Learning Representations (2024) (link)[2025.06.16] Dong Gyun Kang (presentation link) Keyword: Feature Importance, Temporal Dependence, Model Explainability
• Temporal Dependencies in Feature Importance for Time Series Predictions. International Conference on Learning Representations (2023) (link)[2025.07.07] Junmo Kim (presentation link) Keyword: EHR Foundation Model, Adverse Drug Event
• Pretrained patient trajectories for adverse drug event prediction using common data model-based electronic health records. Communications Medicine, 5(1), 232. (2025) (link)[2025.07.14] Donghyeon Seo (presentation link) Keyword: Time Series Analysis, Inter-period Variation
• Timesnet: Temporal 2d-variation modeling for general time series analysis. International Conference on Learning Representations (2023) (link)[2025.07.21] Yohan Lee (presentation link) Keyword: Semi-Supervised Learning, Parameter-Efficient Fine-Tuning, Consistency Regularization
• Erasing the bias: Fine-tuning foundation models for semi-supervised learning. International Conference on Machine Learning (2024) (link)[2025.07.28] Jae Eun Song (presentation link) Keyword: MRI, Dimensionality Reduction
• Dimensionality Reduction methods for Spatiotemporal MRI datasets. (2020) (link)[2025.08.04] Chi Shin Hwang (presentation link) Keyword:: Multi-scale, Multi-resolution, Time Series, Attention, Time Image Decomposition
• Timemixer++: A general time series pattern machine for universal predictive analysis. International Conference on Learning Representations (2025) (link)[2025.08.11] Dong Gyun Kang (presentation link) Keyword: Foundational Model, Electronic Health Record, Transformer, Survival Analysis
• MOTOR: A time-to-event foundation model for structured medical records. International Conference on Learning Representations (2024) (link)[2025.08.18] Sungyun Kim (presentation link) Keyword: SSL, CNN, Time Series
• Tslanet: Rethinking transformers for time series representation learning. International Conference on Machine Learning (2024) (link)[2025.08.25] Junmo Kim (presentation link) Keyword: EHR, Proteomics, Transfer Learning
• A machine learning approach to leveraging electronic health records for enhanced omics analysis. Nature Machine Intelligence, 7(2), 293-306. (2025) (link)[2025.09.01] Donghyeon Seo
• Peri-midformer: Periodic pyramid transformer for time series analysis. Advances in Neural Information Processing Systems, 37, 13035-13073. (2024) (link)[2025.09.08] Yohan Lee
• A Square Peg in a Square Hole: Meta-Expert for Long-Tailed Semi-Supervised Learning. International Conference on Machine Learning (2025) (link)[2025.09.15] Chi Shin Hwang
• TIMING: Temporality-Aware Integrated Gradients for Time Series Explanation. International Conference on Machine Learning (2025) (link)[2025.09.22] Sungyun Kim
• S-TREK: Sequential Translation and Rotation Equivariant Keypoints for local feature extraction. IEEE/CVF International Conference on Computer Vision (2023) (link)
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