Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

TeleOR: Real-Time Telemedicine System for Full-Scene Operating Room.

[BibT_eX]

[DOI]

Yixuan Wu

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

🐍 LKM-UNet: Large Kernel Vision Mamba UNet for Medical Image Segmentation.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Team up GBDTs and DNNs: Advancing Efficient and Effective Tabular Prediction with Tree-hybrid MLPs.

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[DOI]

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Can a Deep Learning Model be a Sure Bet for Tabular Prediction?

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[DOI]

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Personalized Heart Disease Detection via ECG Digital Twin Generation.

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[DOI]

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Making Pre-trained Language Models Great on Tabular Prediction.

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[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Unraveling Babel: Exploring Multilingual Activation Patterns of LLMs and Their Applications.

[BibT_eX]

[DOI]

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Multi-rater Prompting for Ambiguous Medical Image Segmentation.

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[DOI]

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024

TrialEnroll: Predicting Clinical Trial Enrollment Success with Deep & Cross Network and Large Language Models.

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[DOI]

Proceedings of the 15th ACM International Conference on Bioinformatics, 2024

ClinicalAgent: Clinical Trial Multi-Agent System with Large Language Model-based Reasoning.

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[DOI]

Proceedings of the 15th ACM International Conference on Bioinformatics, 2024

TrialDura: Hierarchical Attention Transformer for Interpretable Clinical Trial Duration Prediction.

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[DOI]

Proceedings of the 15th ACM International Conference on Bioinformatics, 2024

2023

Identifying Electrocardiogram Abnormalities Using a Handcrafted-Rule-Enhanced Neural Network.

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[DOI]

IEEE ACM Trans. Comput. Biol. Bioinform., 2023

D-former: a U-shaped Dilated Transformer for 3D medical image segmentation.

[BibT_eX]

[DOI]

Neural Comput. Appl., 2023

OneSeg: Self-learning and One-shot Learning based Single-slice Annotation for 3D Medical Image Segmentation.

[BibT_eX]

[DOI]

CoRR, 2023

PGformer: Proxy-Bridged Game Transformer for Multi-Person Extremely Interactive Motion Prediction.

[BibT_eX]

[DOI]

CoRR, 2023

ExcelFormer: A Neural Network Surpassing GBDTs on Tabular Data.

[BibT_eX]

[DOI]

CoRR, 2023

Robust Training of Graph Neural Networks via Noise Governance.

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[DOI]

Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

GCL: Gradient-Guided Contrastive Learning for Medical Image Segmentation with Multi-Perspective Meta Labels.

[BibT_eX]

[DOI]

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Cross-Layer Retrospective Retrieving via Layer Attention.

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[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

TabCaps: A Capsule Neural Network for Tabular Data Classification with BoW Routing.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Ord2Seq: Regarding Ordinal Regression as Label Sequence Prediction.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Text2Tree: Aligning Text Representation to the Label Tree Hierarchy for Imbalanced Medical Classification.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

T2G-FORMER: Organizing Tabular Features into Relation Graphs Promotes Heterogeneous Feature Interaction.

[BibT_eX]

[DOI]

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

2022

ChroNet: A multi-task learning based approach for prediction of multiple chronic diseases.

[BibT_eX]

[DOI]

Multim. Tools Appl., 2022

Self-learning and One-Shot Learning Based Single-Slice Annotation for 3D Medical Image Segmentation.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

ME-GAN: Learning Panoptic Electrocardio Representations for Multi-view ECG Synthesis Conditioned on Heart Diseases.

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[DOI]

Proceedings of the International Conference on Machine Learning, 2022

DANets: Deep Abstract Networks for Tabular Data Classification and Regression.

[BibT_eX]

[DOI]

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

2021

Interactive Few-Shot Learning: Limited Supervision, Better Medical Image Segmentation.

[BibT_eX]

[DOI]

IEEE Trans. Medical Imaging, 2021

A Deep Learning Approach for Colonoscopy Pathology WSI Analysis: Accurate Segmentation and Classification.

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[DOI]

IEEE J. Biomed. Health Informatics, 2021

A Transfer Learning Based Super-Resolution Microscopy for Biopsy Slice Images: The Joint Methods Perspective.

[BibT_eX]

[DOI]

IEEE ACM Trans. Comput. Biol. Bioinform., 2021

A semi-supervised deep convolutional framework for signet ring cell detection.

[BibT_eX]

[DOI]

Neurocomputing, 2021

Electrocardio Panorama: Synthesizing New ECG views with Self-supervision.

[BibT_eX]

[DOI]

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

A Receptor Skeleton for Capsule Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

Doctor Imitator: A Graph-Based Bone Age Assessment Framework Using Hand Radiographs.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

A Fully 3D Cascaded Framework for Pancreas Segmentation.

[BibT_eX]

[DOI]

Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

SSN: A Stair-Shape Network for Real-Time Polyp Segmentation in Colonoscopy Images.

[BibT_eX]

[DOI]

Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

A Hierarchical Graph Network for 3D Object Detection on Point Clouds.

[BibT_eX]

[DOI]

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

Flow-Mixup: Classifying Multi-labeled Medical Images with Corrupted Labels.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

2019

Nodule-Plus R-CNN and Deep Self-Paced Active Learning for 3D Instance Segmentation of Pulmonary Nodules.

[BibT_eX]

[DOI]

IEEE Access, 2019

LSRC: A Long-Short Range Context-Fusing Framework for Automatic 3D Vertebra Localization.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Multi-view Learning with Feature Level Fusion for Cervical Dysplasia Diagnosis.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Jintai Chen

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