Yifan Peng
Orcid: 0000-0002-8581-8674
According to our database1,
Yifan Peng
authored at least 179 papers
between 2012 and 2024.
Collaborative distances:
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Bibliography
2024
Multimodal multi-objective optimization based on local optimal neighborhood crowding distance differential evolution algorithm.
Neural Comput. Appl., January, 2024
Uncovering Misattributed Suicide Causes through Annotation Inconsistency Detection in Death Investigation Notes.
CoRR, 2024
Evaluating GPT-4 with Vision on Detection of Radiological Findings on Chest Radiographs.
CoRR, 2024
CoRR, 2024
MSLM-S2ST: A Multitask Speech Language Model for Textless Speech-to-Speech Translation with Speaker Style Preservation.
CoRR, 2024
An Empirical Study of Speech Language Models for Prompt-Conditioned Speech Synthesis.
CoRR, 2024
OWSM-CTC: An Open Encoder-Only Speech Foundation Model for Speech Recognition, Translation, and Language Identification.
CoRR, 2024
CoRR, 2024
OWSM v3.1: Better and Faster Open Whisper-Style Speech Models based on E-Branchformer.
CoRR, 2024
CoRR, 2024
Contextualized Automatic Speech Recognition with Attention-Based Bias Phrase Boosted Beam Search.
CoRR, 2024
CoRR, 2024
Neural Bokeh: Learning Lens Blur for Computational Videography and Out-of-Focus Mixed Reality.
Proceedings of the IEEE Conference Virtual Reality and 3D User Interfaces, 2024
2023
J. Biomed. Informatics, October, 2023
An NLP approach to identify SDoH-related circumstance and suicide crisis from death investigation narratives.
J. Am. Medical Informatics Assoc., July, 2023
Representing and utilizing clinical textual data for real world studies: An OHDSI approach.
J. Biomed. Informatics, June, 2023
Enhancing thoracic disease detection using chest X-rays from PubMed Central Open Access.
Comput. Biol. Medicine, June, 2023
Radiomics-Guided Global-Local Transformer for Weakly Supervised Pathology Localization in Chest X-Rays.
IEEE Trans. Medical Imaging, March, 2023
Frontiers Digit. Health, March, 2023
Off-Axis Layered Displays: Hybrid Direct-View/Near-Eye Mixed Reality with Focus Cues.
IEEE Trans. Vis. Comput. Graph., 2023
npj Digit. Medicine, 2023
Adopting and expanding ethical principles for generative artificial intelligence from military to healthcare.
npj Digit. Medicine, 2023
A non-gradient method for solving elliptic partial differential equations with deep neural networks.
J. Comput. Phys., 2023
<i>EvidenceMap</i>: a three-level knowledge representation for medical evidence computation and comprehension.
J. Am. Medical Informatics Assoc., 2023
Leveraging Generative AI for Clinical Evidence Summarization Needs to Achieve Trustworthiness.
CoRR, 2023
Towards long-tailed, multi-label disease classification from chest X-ray: Overview of the CXR-LT challenge.
CoRR, 2023
UniverSLU: Universal Spoken Language Understanding for Diverse Classification and Sequence Generation Tasks with a Single Network.
CoRR, 2023
Dynamic-SUPERB: Towards A Dynamic, Collaborative, and Comprehensive Instruction-Tuning Benchmark for Speech.
CoRR, 2023
Voxtlm: unified decoder-only models for consolidating speech recognition/synthesis and speech/text continuation tasks.
CoRR, 2023
Demonstration-based learning for few-shot biomedical named entity recognition under machine reading comprehension.
CoRR, 2023
High-performance Data Management for Whole Slide Image Analysis in Digital Pathology.
CoRR, 2023
From Military to Healthcare: Adopting and Expanding Ethical Principles for Generative Artificial Intelligence.
CoRR, 2023
An empirical study of using radiology reports and images to improve ICU mortality prediction.
CoRR, 2023
Reducing Barriers to Self-Supervised Learning: HuBERT Pre-training with Academic Compute.
CoRR, 2023
CoRR, 2023
A Comparative Study on E-Branchformer vs Conformer in Speech Recognition, Translation, and Understanding Tasks.
CoRR, 2023
CoRR, 2023
Evaluate underdiagnosis and overdiagnosis bias of deep learning model on primary open-angle glaucoma diagnosis in under-served patient populations.
CoRR, 2023
Attend Who is Weak: Pruning-assisted Medical Image Localization under Sophisticated and Implicit Imbalances.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023
Proceedings of the SIGGRAPH Asia 2023 Conference Papers, 2023
Proceedings of the Caring is Sharing - Exploiting the Value in Data for Health and Innovation - Proceedings of MIE 2023, Gothenburg, Sweden, 22, 2023
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Proceedings of the 20th International Conference on Spoken Language Translation, 2023
Proceedings of the IEEE International Symposium on Mixed and Augmented Reality, 2023
Optimizing Embedding Space with Sub-categorical Supervised Pre-training: A Theoretical Approach Towards Improving Sepsis Prediction.
Proceedings of the 11th IEEE International Conference on Healthcare Informatics, 2023
Proceedings of the 11th IEEE International Conference on Healthcare Informatics, 2023
Learning A Room with the Occ-SDF Hybrid: Signed Distance Function Mingled with Occupancy Aids Scene Representation.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
I3D: Transformer Architectures with Input-Dependent Dynamic Depth for Speech Recognition.
Proceedings of the IEEE International Conference on Acoustics, 2023
Structured Pruning of Self-Supervised Pre-Trained Models for Speech Recognition and Understanding.
Proceedings of the IEEE International Conference on Acoustics, 2023
Proceedings of the IEEE International Conference on Acoustics, 2023
Proceedings of the IEEE International Conference on Acoustics, 2023
The Pipeline System of ASR and NLU with MLM-based data Augmentation Toward Stop Low-Resource Challenge.
Proceedings of the IEEE International Conference on Acoustics, 2023
Proceedings of the IEEE International Conference on Acoustics, 2023
A Study on the Integration of Pipeline and E2E SLU Systems for Spoken Semantic Parsing Toward Stop Quality Challenge.
Proceedings of the IEEE International Conference on Acoustics, 2023
Reproducing Whisper-Style Training Using An Open-Source Toolkit And Publicly Available Data.
Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2023
Joint Prediction and Denoising for Large-Scale Multilingual Self-Supervised Learning.
Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2023
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics: System Demonstrations, 2023
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023
2022
IEEE Trans. Vis. Comput. Graph., 2022
IEEE Trans. Vis. Comput. Graph., 2022
IEEE Trans. Biomed. Eng., 2022
Pattern Recognit., 2022
Pattern Recognit., 2022
Global-Local attention network with multi-task uncertainty loss for abnormal lymph node detection in MR images.
Medical Image Anal., 2022
J. Am. Medical Informatics Assoc., 2022
SODA: A Natural Language Processing Package to Extract Social Determinants of Health for Cancer Studies.
CoRR, 2022
Adv. Intell. Syst., 2022
Knowledge-Augmented Contrastive Learning for Abnormality Classification and Localization in Chest X-rays with Radiomics using a Feedback Loop.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022
A Study on the Integration of Pre-Trained SSL, ASR, LM and SLU Models for Spoken Language Understanding.
Proceedings of the IEEE Spoken Language Technology Workshop, 2022
Proceedings of the IEEE Spoken Language Technology Workshop, 2022
Proceedings of the SIGGRAPH '22: Special Interest Group on Computer Graphics and Interactive Techniques Conference, Vancouver, BC, Canada, August 7, 2022
Time-multiplexed Neural Holography: A Flexible Framework for Holographic Near-eye Displays with Fast Heavily-quantized Spatial Light Modulators.
Proceedings of the SIGGRAPH '22: Special Interest Group on Computer Graphics and Interactive Techniques Conference, Vancouver, BC, Canada, August 7, 2022
Proceedings of the Data Augmentation, Labelling, and Imperfections, 2022
Multi-scale Multi-structure Siamese Network (MMSNet) for Primary Open-Angle Glaucoma Prediction.
Proceedings of the Machine Learning in Medical Imaging - 13th International Workshop, 2022
Predicting Age-related Macular Degeneration Progression with Longitudinal Fundus Images Using Deep Learning.
Proceedings of the Machine Learning in Medical Imaging - 13th International Workshop, 2022
Proceedings of the Data Augmentation, Labelling, and Imperfections, 2022
Proceedings of the Medical Imaging 2022: Computer-Aided Diagnosis, 2022
Proceedings of the 19th International Conference on Spoken Language Translation, 2022
Attention Weight Smoothing Using Prior Distributions for Transformer-Based End-to-End ASR.
Proceedings of the Interspeech 2022, 2022
Branchformer: Parallel MLP-Attention Architectures to Capture Local and Global Context for Speech Recognition and Understanding.
Proceedings of the International Conference on Machine Learning, 2022
Proceedings of the 10th IEEE International Conference on Healthcare Informatics, 2022
RoS-KD: A Robust Stochastic Knowledge Distillation Approach for Noisy Medical Imaging.
Proceedings of the IEEE International Conference on Data Mining, 2022
Proceedings of the IEEE International Conference on Acoustics, 2022
Proceedings of the 55th Hawaii International Conference on System Sciences, 2022
Proceedings of the 21st Workshop on Biomedical Language Processing, 2022
Supervised pretraining through contrastive categorical positive samplings to improve COVID-19 mortality prediction.
Proceedings of the BCB '22: 13th ACM International Conference on Bioinformatics, Computational Biology and Health Informatics, Northbrook, Illinois, USA, August 7, 2022
Proceedings of the AMIA 2022, 2022
2021
Differentiable Compound Optics and Processing Pipeline Optimization for End-to-end Camera Design.
ACM Trans. Graph., 2021
Neural 3D holography: learning accurate wave propagation models for 3D holographic virtual and augmented reality displays.
ACM Trans. Graph., 2021
Generalized Zero-Shot Chest X-Ray Diagnosis Through Trait-Guided Multi-View Semantic Embedding With Self-Training.
IEEE Trans. Medical Imaging, 2021
COVID-19-CT-CXR: A Freely Accessible and Weakly Labeled Chest X-Ray and CT Image Collection on COVID-19 From Biomedical Literature.
IEEE Trans. Big Data, 2021
Multimodal, multitask, multiattention (M3) deep learning detection of reticular pseudodrusen: Toward automated and accessible classification of age-related macular degeneration.
J. Am. Medical Informatics Assoc., 2021
CU-UD: text-mining drug and chemical-protein interactions with ensembles of BERT-based models.
CoRR, 2021
Cross-Modal Contrastive Learning for Abnormality Classification and Localization in Chest X-rays with Radiomics using a Feedback Loop.
CoRR, 2021
Leveraging Deep Representations of Radiology Reports in Survival Analysis for Predicting Heart Failure Patient Mortality.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021
RadBERT-CL: Factually-Aware Contrastive Learning For Radiology Report Classification.
Proceedings of the Machine Learning for Health, 2021
Proceedings of the Machine Learning in Medical Imaging - 12th International Workshop, 2021
Improving Joint Learning of Chest X-Ray and Radiology Report by Word Region Alignment.
Proceedings of the Machine Learning in Medical Imaging - 12th International Workshop, 2021
Learning Few-Shot Chest X-Ray Diagnosis Using Images From The Published Scientific Literature.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021
An empirical study of using radiology reports and images to improve ICU-mortality prediction.
Proceedings of the 9th IEEE International Conference on Healthcare Informatics, 2021
SCALP - Supervised Contrastive Learning for Cardiopulmonary Disease Classification and Localization in Chest X-rays using Patient Metadata.
Proceedings of the IEEE International Conference on Data Mining, 2021
Depth from Defocus with Learned Optics for Imaging and Occlusion-aware Depth Estimation.
Proceedings of the IEEE International Conference on Computational Photography, 2021
Proceedings of the 20th Workshop on Biomedical Language Processing, 2021
Using Radiomics as Prior Knowledge for Thorax Disease Classification and Localization in Chest X-rays.
Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021
Multi-task deep learning-based survival analysis on the prognosis of late AMD using the longitudinal data in AREDS.
Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021
2020
ACM Trans. Graph., 2020
Automated abnormality classification of chest radiographs using deep convolutional neural networks.
npj Digit. Medicine, 2020
npj Digit. Medicine, 2020
Using Radiomics as Prior Knowledge for Abnormality Classification and Localization in Chest X-rays.
CoRR, 2020
Multi-modal, multi-task, multi-attention (M3) deep learning detection of reticular pseudodrusen: towards automated and accessible classification of age-related macular degeneration.
CoRR, 2020
CoRR, 2020
Navigating the landscape of COVID-19 research through literature analysis: A bird's eye view.
CoRR, 2020
When text simplification is not enough: could a graph-based visualization facilitate consumers' comprehension of dietary supplement information?
CoRR, 2020
Deep optics: joint design of optics and image recovery algorithms for domain specific cameras.
Proceedings of the SIGGRAPH 2020: Special Interest Group on Computer Graphics and Interactive Techniques Conference, 2020
Proceedings of the SIGGRAPH 2020: Special Interest Group on Computer Graphics and Interactive Techniques Conference, 2020
COMe-SEE: Cross-modality Semantic Embedding Ensemble for Generalized Zero-Shot Diagnosis of Chest Radiographs.
Proceedings of the Interpretable and Annotation-Efficient Learning for Medical Image Computing, 2020
Microcalcification localization and cluster detection using unsupervised convolutional autoencoders and structural similarity index.
Proceedings of the Medical Imaging 2020: Computer-Aided Diagnosis, 2020
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020
Proceedings of the 19th SIGBioMed Workshop on Biomedical Language Processing, 2020
Proceedings of the AMIA 2020, 2020
Proceedings of the 54th Asilomar Conference on Signals, Systems, and Computers, 2020
Proceedings of the 3rd Clinical Natural Language Processing Workshop, 2020
2019
ACM Trans. Graph., 2019
J. Am. Medical Informatics Assoc., 2019
A deep learning approach for automated detection of geographic atrophy from color fundus photographs.
CoRR, 2019
MULAN: Multitask Universal Lesion Analysis Network for Joint Lesion Detection, Tagging, and Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Fine-Grained Lesion Annotation in CT Images With Knowledge Mined From Radiology Reports.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019
A self-attention based deep learning method for lesion attribute detection from CT reports.
Proceedings of the 2019 IEEE International Conference on Healthcare Informatics, 2019
Proceedings of the 2019 IEEE International Conference on Healthcare Informatics, 2019
Holistic and Comprehensive Annotation of Clinically Significant Findings on Diverse CT Images: Learning From Radiology Reports and Label Ontology.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019
Transfer Learning in Biomedical Natural Language Processing: An Evaluation of BERT and ELMo on Ten Benchmarking Datasets.
Proceedings of the 18th BioNLP Workshop and Shared Task, 2019
A deep learning-based survival model for prediction of progression in late Age-related Macular Degeneration (AMD) from color fundus photographs.
Proceedings of the AMIA 2019, 2019
Automatic Classification and Reporting of Multiple Common Thorax Diseases Using Chest Radiographs.
Proceedings of the Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics, 2019
ChestX-ray: Hospital-Scale Chest X-ray Database and Benchmarks on Weakly Supervised Classification and Localization of Common Thorax Diseases.
Proceedings of the Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics, 2019
2018
End-to-end optimization of optics and image processing for achromatic extended depth of field and super-resolution imaging.
ACM Trans. Graph., 2018
Nucleic Acids Res., 2018
A multi-task deep learning model for the classification of Age-related Macular Degeneration.
CoRR, 2018
DeepSeeNet: A deep learning model for automated classification of patient-based age-related macular degeneration severity from color fundus photographs.
CoRR, 2018
CoRR, 2018
CoRR, 2018
Extracting chemical-protein relations with ensembles of SVM and deep learning models.
Database J. Biol. Databases Curation, 2018
Proceedings of the 2018 IEEE International Conference on Computational Photography, 2018
TieNet: Text-Image Embedding Network for Common Thorax Disease Classification and Reporting in Chest X-Rays.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018
2017
NegBio: a high-performance tool for negation and uncertainty detection in radiology reports.
CoRR, 2017
Proceedings of the IEEE International Conference on Computer Vision, 2017
ChestX-Ray8: Hospital-Scale Chest X-Ray Database and Benchmarks on Weakly-Supervised Classification and Localization of Common Thorax Diseases.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017
Deep learning for extracting protein-protein interactions from biomedical literature.
Proceedings of the BioNLP 2017, Vancouver, Canada, August 4, 2017, 2017
BioCreative VI Precision Medicine Track: creating a training corpus for mining protein-protein interactions affected by mutations.
Proceedings of the BioNLP 2017, Vancouver, Canada, August 4, 2017, 2017
Proceedings of the AMIA 2017, 2017
2016
The diffractive achromat full spectrum computational imaging with diffractive optics.
ACM Trans. Graph., 2016
Improving chemical disease relation extraction with rich features and weakly labeled data.
J. Cheminformatics, 2016
Assessing the state of the art in biomedical relation extraction: overview of the BioCreative V chemical-disease relation (CDR) task.
Database J. Biol. Databases Curation, 2016
BioC-compatible full-text passage detection for protein-protein interactions using extended dependency graph.
Database J. Biol. Databases Curation, 2016
BioCreative V BioC track overview: collaborative biocurator assistant task for BioGRID.
Database J. Biol. Databases Curation, 2016
Proceedings of the SIGGRAPH ASIA 2016, Macao, December 5-8, 2016, 2016
Proceedings of the SIGGRAPH ASIA 2016, Macao, December 5-8, 2016 - Emerging Technologies, 2016
2015
PLoS Comput. Biol., 2015
Proceedings of the Workshop on Biomedical Natural Language Processing, BioNLP@IJCNLP 2015, 2015
2014
A Generalizable NLP Framework for Fast Development of Pattern-based Biomedical Relation Extraction Systems.
BMC Bioinform., 2014
iSimp in BioC standard format: enhancing the interoperability of a sentence simplification system.
Database J. Biol. Databases Curation, 2014
2013
Database J. Biol. Databases Curation, 2013
Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013
2012
Proceedings of the 2012 IEEE International Conference on Bioinformatics and Biomedicine, 2012