iSimp: A sentence simplification system for biomedicail text. - Yifan Peng; Catalina O. Tudor; Manabu Torii; Cathy H. Wu; K. Vijay-Shanker (BIBM, 2012)

Studying Relationships between Human Gaze, Description, and Computer Vision. - Kiwon Yun; Yifan Peng; Dimitris Samaras; Gregory J. Zelinsky; Tamara L. Berg (CVPR, 2013)

BioC: a minimalist approach to interoperability for biomedical text processing. - Donald C. Comeau; Rezarta Islamaj Dogan; Paolo Ciccarese; Kevin Bretonnel Cohen; Martin Krallinger; Florian Leitner; Zhiyong Lu; Yifan Peng; Fabio Rinaldi 001; Manabu Torii; Alfonso Valencia; Karin Verspoor; et al. (Database J. Biol. Databases Curation, 2013)

BioC interoperability track overview. - Donald C. Comeau; Riza Theresa Batista-Navarro; Hong-Jie Dai; Rezarta Islamaj Dogan; Antonio Jimeno-Yepes; Ritu Khare; Zhiyong Lu; Hernani Marques; Carolyn J. Mattingly; Mariana L. Neves; Yifan Peng; Rafal Rak; et al. (Database J. Biol. Databases Curation, 2014)

iSimp in BioC standard format: enhancing the interoperability of a sentence simplification system. - Yifan Peng; Catalina O. Tudor; Manabu Torii; Cathy H. Wu; K. Vijay-Shanker (Database J. Biol. Databases Curation, 2014)

A Generalizable NLP Framework for Fast Development of Pattern-based Biomedical Relation Extraction Systems. - Yifan Peng; Manabu Torii; Cathy H. Wu; K. Vijay-Shanker (BMC Bioinform., 2014)

An extended dependency graph for relation extraction in biomedical texts. - Yifan Peng; Samir Gupta; Cathy H. Wu; K. Vijay-Shanker (BioNLP@IJCNLP, 2015)

miRTex: A Text Mining System for miRNA-Gene Relation Extraction. - Gang Li 021; Karen E. Ross; Cecilia N. Arighi; Yifan Peng; Cathy H. Wu; K. Vijay-Shanker (PLoS Comput. Biol., 2015)

Towards VR and AR: 360° light field display with mid-air interaction. - Chen Su; Yifan Peng; Qing Zhong 001; Haifeng Li 002; Rui Wang 004; Wolfgang Heidrich; Xu Liu 022 (SIGGRAPH ASIA Emerging Technologies, 2016)

Towards VR and AR enhancement: light field display with mid-air interaction. - Chen Su; Yifan Peng; Qing Zhong 001; Haifeng Li 002; Rui Wang 004; Wolfgang Heidrich; Xu Liu 022 (SIGGRAPH ASIA Virtual Reality meets Physical Reality, 2016)

BioCreative V BioC track overview: collaborative biocurator assistant task for BioGRID. - Sun Kim; Rezarta Islamaj Dogan; Andrew Chatr-aryamontri; Christie S. Chang; Rose Oughtred; Jennifer M. Rust; Riza Batista-Navarro; Jacob Carter; Sophia Ananiadou; Sérgio Matos; André Santos; David Campos 001; et al. (Database J. Biol. Databases Curation, 2016)

BioC-compatible full-text passage detection for protein-protein interactions using extended dependency graph. - Yifan Peng; Cecilia N. Arighi; Cathy H. Wu; K. Vijay-Shanker (Database J. Biol. Databases Curation, 2016)

Assessing the state of the art in biomedical relation extraction: overview of the BioCreative V chemical-disease relation (CDR) task. - Chih-Hsuan Wei; Yifan Peng; Robert Leaman; Allan Peter Davis; Carolyn J. Mattingly; Jiao Li 001; Thomas C. Wiegers; Zhiyong Lu (Database J. Biol. Databases Curation, 2016)

Improving chemical disease relation extraction with rich features and weakly labeled data. - Yifan Peng; Chih-Hsuan Wei; Zhiyong Lu (J. Cheminformatics, 2016)

The diffractive achromat full spectrum computational imaging with diffractive optics. - Yifan Peng; Qiang Fu 002; Felix Heide; Wolfgang Heidrich (ACM Trans. Graph., 2016)

Text Mining Radiology Reports for Deep Learning Radiology Images. - Yifan Peng; Xiaosong Wang; Le Lu 001; Mohammadhadi Bagheri; Ronald M. Summers; Zhiyong Lu (AMIA, 2017)

BioCreative VI Precision Medicine Track: creating a training corpus for mining protein-protein interactions affected by mutations. - Rezarta Islamaj Dogan; Andrew Chatr-aryamontri; Sun Kim; Chih-Hsuan Wei; Yifan Peng; Donald C. Comeau; Zhiyong Lu (BioNLP, 2017)

Deep learning for extracting protein-protein interactions from biomedical literature. - Yifan Peng; Zhiyong Lu (BioNLP, 2017)

ChestX-Ray8: Hospital-Scale Chest X-Ray Database and Benchmarks on Weakly-Supervised Classification and Localization of Common Thorax Diseases. - Xiaosong Wang; Yifan Peng; Le Lu 001; Zhiyong Lu; Mohammadhadi Bagheri; Ronald M. Summers (CVPR, 2017)

Revisiting Cross-Channel Information Transfer for Chromatic Aberration Correction. - Tiancheng Sun; Yifan Peng; Wolfgang Heidrich (ICCV, 2017)

NegBio: a high-performance tool for negation and uncertainty detection in radiology reports. - Yifan Peng; Xiaosong Wang; Le Lu 001; Mohammadhadi Bagheri; Ronald M. Summers; Zhiyong Lu (CoRR, 2017)

Mix-and-match holography. - Yifan Peng; Xiong Dun; Qilin Sun 001; Wolfgang Heidrich (ACM Trans. Graph., 2017)

Depth and Transient Imaging With Compressive SPAD Array Cameras. - Qilin Sun 001; Xiong Dun; Yifan Peng; Wolfgang Heidrich (CVPR, 2018)

TieNet: Text-Image Embedding Network for Common Thorax Disease Classification and Reporting in Chest X-Rays. - Xiaosong Wang; Yifan Peng; Le Lu 001; Zhiyong Lu; Ronald M. Summers (CVPR, 2018)

Focal sweep imaging with multi-focal diffractive optics. - Yifan Peng; Xiong Dun; Qilin Sun 001; Felix Heide; Wolfgang Heidrich (ICCP, 2018)

Extracting chemical-protein relations with ensembles of SVM and deep learning models. - Yifan Peng; Anthony Rios; Ramakanth Kavuluru; Zhiyong Lu (Database J. Biol. Databases Curation, 2018)

Chemical-protein relation extraction with ensembles of SVM, CNN, and RNN models. - Yifan Peng; Anthony Rios; Ramakanth Kavuluru; Zhiyong Lu (CoRR, 2018)

Comment Generation for Source Code: State of the Art, Challenges and Opportunities. - Xiaoran Wang; Yifan Peng; Benwen Zhang (CoRR, 2018)

DeepSeeNet: A deep learning model for automated classification of patient-based age-related macular degeneration severity from color fundus photographs. - Yifan Peng; Shazia Dharssi; Qingyu Chen 001; Tiarnan D. Keenan; Elvira Agrón; Wai T. Wong; Emily Y. Chew; Zhiyong Lu (CoRR, 2018)

A multi-task deep learning model for the classification of Age-related Macular Degeneration. - Qingyu Chen 001; Yifan Peng; Tiarnan D. Keenan; Shazia Dharssi; Elvira Agrón; Wai T. Wong; Emily Y. Chew; Zhiyong Lu (CoRR, 2018)

LitVar: a semantic search engine for linking genomic variant data in PubMed and PMC. - Alexis Allot; Yifan Peng; Chih-Hsuan Wei; Kyubum Lee; Lon Phan; Zhiyong Lu (Nucleic Acids Res., 2018)

End-to-end optimization of optics and image processing for achromatic extended depth of field and super-resolution imaging. - Vincent Sitzmann; Steven Diamond; Yifan Peng; Xiong Dun; Stephen P. Boyd; Wolfgang Heidrich; Felix Heide; Gordon Wetzstein (ACM Trans. Graph., 2018)

ChestX-ray: Hospital-Scale Chest X-ray Database and Benchmarks on Weakly Supervised Classification and Localization of Common Thorax Diseases. - Xiaosong Wang; Yifan Peng; Le Lu 001; Zhiyong Lu; Mohammadhadi Bagheri; Ronald M. Summers (Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics, 2019)

Automatic Classification and Reporting of Multiple Common Thorax Diseases Using Chest Radiographs. - Xiaosong Wang; Yifan Peng; Le Lu 001; Zhiyong Lu; Ronald M. Summers (Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics, 2019)

A deep learning-based survival model for prediction of progression in late Age-related Macular Degeneration (AMD) from color fundus photographs. - Yifan Peng; Tiarnan D. Keenan; Qingyu Chen 001; Elvira Agrón; Wai T. Wong; Emily Y. Chew; Zhiyong Lu (AMIA, 2019)

Transfer Learning in Biomedical Natural Language Processing: An Evaluation of BERT and ELMo on Ten Benchmarking Datasets. - Yifan Peng; Shankai Yan; Zhiyong Lu (BioNLP@ACL, 2019)

Holistic and Comprehensive Annotation of Clinically Significant Findings on Diverse CT Images: Learning From Radiology Reports and Label Ontology. - Ke Yan 006; Yifan Peng; Veit Sandfort; Mohammadhadi Bagheri; Zhiyong Lu; Ronald M. Summers (CVPR, 2019)

BioSentVec: creating sentence embeddings for biomedical texts. - Qingyu Chen 001; Yifan Peng; Zhiyong Lu (ICHI, 2019)

A self-attention based deep learning method for lesion attribute detection from CT reports. - Yifan Peng; Ke Yan 006; Veit Sandfort; Ronald M. Summers; Zhiyong Lu (ICHI, 2019)

Fine-Grained Lesion Annotation in CT Images With Knowledge Mined From Radiology Reports. - Ke Yan 006; Yifan Peng; Zhiyong Lu; Ronald M. Summers (ISBI, 2019)

MULAN: Multitask Universal Lesion Analysis Network for Joint Lesion Detection, Tagging, and Segmentation. - Ke Yan 006; Youbao Tang; Yifan Peng; Veit Sandfort; Mohammadhadi Bagheri; Zhiyong Lu; Ronald M. Summers (MICCAI (6), 2019)

A deep learning approach for automated detection of geographic atrophy from color fundus photographs. - Tiarnan D. Keenan; Shazia Dharssi; Yifan Peng; Qingyu Chen 001; Elvira Agrón; Wai T. Wong; Zhiyong Lu; Emily Y. Chew (CoRR, 2019)

ML-Net: multi-label classification of biomedical texts with deep neural networks. - Jingcheng Du; Qingyu Chen 001; Yifan Peng; Yang Xiang 003; Cui Tao; Zhiyong Lu (J. Am. Medical Informatics Assoc., 2019)

Wirtinger holography for near-eye displays. - Praneeth Chakravarthula; Yifan Peng; Joel S. Kollin; Henry Fuchs; Felix Heide (ACM Trans. Graph., 2019)

Holographic near-eye displays based on overlap-add stereograms. - Nitish Padmanaban; Yifan Peng; Gordon Wetzstein (ACM Trans. Graph., 2019)

Learned large field-of-view imaging with thin-plate optics. - Yifan Peng; Qilin Sun 001; Xiong Dun; Gordon Wetzstein; Wolfgang Heidrich; Felix Heide (ACM Trans. Graph., 2019)

Automatic recognition of abdominal lymph nodes from clinical text. - Yifan Peng; Sungwon Lee; Daniel C. Elton; Thomas C. Shen; Yuxing Tang; Qingyu Chen 001; Shuai Wang; Yingying Zhu 003; Ronald M. Summers; Zhiyong Lu (ClinicalNLP@EMNLP, 2020)

Deep Optics: Learning Cameras and Optical Computing Systems. - Gordon Wetzstein; Hayato Ikoma; Christopher A. Metzler; Yifan Peng (ACSSC, 2020)

Detection of reticular pseudodrusen using deep learning. - Qingyu Chen 001; Tiarnan D. Keenan; Yifan Peng; Elvira Agrón; Christopher Hwang; Alisa T. Thavikulwat; Debora Lee; Wai T. Wong; Emily Y. Chew; Zhiyong Lu (AMIA, 2020)

An Empirical Study of Multi-Task Learning on BERT for Biomedical Text Mining. - Yifan Peng; Qingyu Chen 001; Zhiyong Lu (BioNLP, 2020)

Deep Optics for Single-Shot High-Dynamic-Range Imaging. - Christopher A. Metzler; Hayato Ikoma; Yifan Peng; Gordon Wetzstein (CVPR, 2020)

Microcalcification localization and cluster detection using unsupervised convolutional autoencoders and structural similarity index. - Yifan Peng; Rui Hou 002; Yinhao Ren; Lars J. Grimm; Jeffrey R. Marks; Eun-Sil Shelley Hwang; Joseph Y. Lo (Medical Imaging: Computer-Aided Diagnosis, 2020)

COMe-SEE: Cross-modality Semantic Embedding Ensemble for Generalized Zero-Shot Diagnosis of Chest Radiographs. - Angshuman Paul; Thomas C. Shen; Niranjan Balachandar; Yuxing Tang; Yifan Peng; Zhiyong Lu; Ronald M. Summers (iMIMIC/MIL3ID/LABELS@MICCAI, 2020)

Neural Holography. - Yifan Peng; Suyeon Choi; Nitish Padmanaban; Jonghyun Kim; Gordon Wetzstein (SIGGRAPH Emerging Technologies, 2020)

Deep optics: joint design of optics and image recovery algorithms for domain specific cameras. - Yifan (Evan) Peng; Ashok Veeraraghavan; Wolfgang Heidrich; Gordon Wetzstein (SIGGRAPH Courses, 2020)

When text simplification is not enough: could a graph-based visualization facilitate consumers' comprehension of dietary supplement information? - Xing He 003; Rui Zhang 028; Jordan Alpert; Sicheng Zhou; Terrence J. Adam; Aantaki Raisa; Yifan Peng; Hansi Zhang; Jiang Bian 001 (CoRR, 2020)

Navigating the landscape of COVID-19 research through literature analysis: A bird's eye view. - Lana Yeganova; Rezarta Islamaj Dogan; Qingyu Chen 001; Robert Leaman; Alexis Allot; Chih-Hsuan Wei; Donald C. Comeau; Won Kim 003; Yifan Peng; W. John Wilbur; Zhiyong Lu (CoRR, 2020)

Michelson Holography: Dual-SLM Holography with Camera-in-the-loop Optimization. - Suyeon Choi; Jonghyun Kim; Yifan Peng; Gordon Wetzstein (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. - Qingyu Chen 001; Tiarnan D. L. Keenan; Alexis Allot; Yifan Peng; Elvira Agrón; Amitha Domalpally; Caroline C. W. Klaver; Daniel T. Luttikhuizen; Marcus H. Colyer; Catherine A. Cukras; Henry E. Wiley; M. Teresa Magone; et al. (CoRR, 2020)

Using Radiomics as Prior Knowledge for Abnormality Classification and Localization in Chest X-rays. - Yan Han; Chongyan Chen; Liyan Tang; Mingquan Lin; Ajay Jaiswal; Ying Ding 001; Yifan Peng (CoRR, 2020)

Predicting risk of late age-related macular degeneration using deep learning. - Yifan Peng; Tiarnan D. Keenan; Qingyu Chen 001; Elvira Agrón; Alexis Allot; Wai T. Wong; Emily Y. Chew; Zhiyong Lu (npj Digit. Medicine, 2020)

Automated abnormality classification of chest radiographs using deep convolutional neural networks. - Yuxing Tang; Youbao Tang; Yifan Peng; Ke Yan 006; Mohammadhadi Bagheri; Bernadette A. Redd; Catherine J. Brandon; Zhiyong Lu; Mei Han; Jing Xiao 006; Ronald M. Summers (npj Digit. Medicine, 2020)

Neural holography with camera-in-the-loop training. - Yifan Peng; Suyeon Choi; Nitish Padmanaban; Gordon Wetzstein (ACM Trans. Graph., 2020)

End-to-end Learned, Optically Coded Super-resolution SPAD Camera. - Qilin Sun 001; Jian Zhang 018; Xiong Dun; Bernard Ghanem; Yifan Peng; Wolfgang Heidrich (ACM Trans. Graph., 2020)

Multi-task deep learning-based survival analysis on the prognosis of late AMD using the longitudinal data in AREDS. - Gregory C. Ghahramani; Matthew Brendel; Mingquan Lin; Qingyu Chen 001; Tiarnan D. Keenan; Kun Chen 002; Emily Y. Chew; Zhiyong Lu; Yifan Peng; Fei Wang 001 (AMIA, 2021)

Using Radiomics as Prior Knowledge for Thorax Disease Classification and Localization in Chest X-rays. - Yan Han; Chongyan Chen; Liyan Tang; Mingquan Lin; Ajay Jaiswal; Song Wang; Ahmed H. Tewfik; George Shih; Ying Ding 001; Yifan Peng (AMIA, 2021)

Improving BERT Model Using Contrastive Learning for Biomedical Relation Extraction. - Peng Su; Yifan Peng; K. Vijay-Shanker (BioNLP@NAACL-HLT, 2021)

Depth from Defocus with Learned Optics for Imaging and Occlusion-aware Depth Estimation. - Hayato Ikoma; Cindy M. Nguyen; Christopher A. Metzler; Yifan Peng; Gordon Wetzstein (ICCP, 2021)

SCALP - Supervised Contrastive Learning for Cardiopulmonary Disease Classification and Localization in Chest X-rays using Patient Metadata. - Ajay Jaiswal; Tianhao Li; Cyprian Zander; Yan Han; Justin F. Rousseau; Yifan Peng; Ying Ding 001 (ICDM, 2021)

An empirical study of using radiology reports and images to improve ICU-mortality prediction. - Mingquan Lin; Song Wang; Ying Ding 001; Lihui Zhao; Fei Wang 001; Yifan Peng (ICHI, 2021)

Pneumonia Detection On Chest X-Ray Using Radiomic Features And Contrastive Learning. - Yan Han; Chongyan Chen; Ahmed H. Tewfik; Ying Ding 001; Yifan Peng (ISBI, 2021)

Learning Few-Shot Chest X-Ray Diagnosis Using Images From The Published Scientific Literature. - Angshuman Paul; Thomas C. Shen; Yifan Peng; Zhiyong Lu; Ronald M. Summers (ISBI, 2021)

Improving Joint Learning of Chest X-Ray and Radiology Report by Word Region Alignment. - Zhanghexuan Ji; Mohammad Abuzar Shaikh; Dana Moukheiber; Sargur N. Srihari; Yifan Peng; Mingchen Gao (MLMI@MICCAI, 2021)

Detection of Lymph Nodes in T2 MRI Using Neural Network Ensembles. - Tejas Sudharshan Mathai; Sungwon Lee; Daniel C. Elton; Thomas C. Shen; Yifan Peng; Zhiyong Lu; Ronald M. Summers (MLMI@MICCAI, 2021)

RadBERT-CL: Factually-Aware Contrastive Learning For Radiology Report Classification. - Ajay Jaiswal; Liyan Tang; Meheli Ghosh; Justin F. Rousseau; Yifan Peng; Ying Ding 001 (ML4H@NeurIPS, 2021)

Leveraging Deep Representations of Radiology Reports in Survival Analysis for Predicting Heart Failure Patient Mortality. - Hyun Gi Lee; Evan Sholle; Ashley Beecy; Subhi J. Al'Aref; Yifan Peng (NAACL-HLT, 2021)

Cross-Modal Contrastive Learning for Abnormality Classification and Localization in Chest X-rays with Radiomics using a Feedback Loop. - Yan Han; Chongyan Chen; Ahmed H. Tewfik; Benjamin S. Glicksberg; Ying Ding 001; Yifan Peng; Zhangyang Wang (CoRR, 2021)

A framework for massive scale personalized promotion. - Yitao Shen; Yue Wang; Xingyu Lu; Feng Qi; Jia Yan; Yixiang Mu; Yao Yang; Yifan Peng; Jinjie Gu (CoRR, 2021)

CU-UD: text-mining drug and chemical-protein interactions with ensembles of BERT-based models. - Mehmet Efruz Karabulut; K. Vijay-Shanker; Yifan Peng (CoRR, 2021)

Multimodal, multitask, multiattention (M3) deep learning detection of reticular pseudodrusen: Toward automated and accessible classification of age-related macular degeneration. - Qingyu Chen 001; Tiarnan D. L. Keenan; Alexis Allot; Yifan Peng; Elvira Agrón; Amitha Domalpally; Caroline C. W. Klaver; Daniel T. Luttikhuizen; Marcus H. Colyer; Catherine A. Cukras; Henry E. Wiley; M. Teresa Magone; et al. (J. Am. Medical Informatics Assoc., 2021)

COVID-19-CT-CXR: A Freely Accessible and Weakly Labeled Chest X-Ray and CT Image Collection on COVID-19 From Biomedical Literature. - Yifan Peng; Yuxing Tang; Sungwon Lee; Yingying Zhu 003; Ronald M. Summers; Zhiyong Lu (IEEE Trans. Big Data, 2021)

Generalized Zero-Shot Chest X-Ray Diagnosis Through Trait-Guided Multi-View Semantic Embedding With Self-Training. - Angshuman Paul; Thomas C. Shen; Sungwon Lee; Niranjan Balachandar; Yifan Peng; Zhiyong Lu; Ronald M. Summers (IEEE Trans. Medical Imaging, 2021)

Neural 3D holography: learning accurate wave propagation models for 3D holographic virtual and augmented reality displays. - Suyeon Choi; Manu Gopakumar; Yifan Peng; Jonghyun Kim; Gordon Wetzstein (ACM Trans. Graph., 2021)

Differentiable Compound Optics and Processing Pipeline Optimization for End-to-end Camera Design. - Ethan Tseng; Ali Mosleh 002; Fahim Mannan; Karl St. Arnaud; Avinash Sharma; Yifan Peng; Alexander Braun; Derek Nowrouzezahrai; Jean-François Lalonde; Felix Heide (ACM Trans. Graph., 2021)

Prompt-based Learning for Assertion Classification in Clinical Notes. - Song Wang; Liyan Tang; Akash Majety; Justin F. Rousseau; George Shih; Ying Ding 001; Yifan Peng (AMIA, 2022)

Supervised pretraining through contrastive categorical positive samplings to improve COVID-19 mortality prediction. - Tingyi Wanyan; Mingquan Lin; Eyal Klang; Kartikeya M. Menon; Faris F. Gulamali; Ariful Azad; Yiye Zhang; Ying Ding 001; Zhangyang Wang; Fei Wang 001; Benjamin S. Glicksberg; Yifan Peng (BCB, 2022)

EchoGen: Generating Conclusions from Echocardiogram Notes. - Liyan Tang; Shravan Kooragayalu; Yanshan Wang; Ying Ding 001; Greg Durrett; Justin F. Rousseau; Yifan Peng (BioNLP@ACL, 2022)

Classifying Cyber-Risky Clinical Notes by Employing Natural Language Processing. - Suzanna Schmeelk; Martins Samuel Dogo; Braja Gopal Patra; Yifan Peng (HICSS, 2022)

ESPnet-SLU: Advancing Spoken Language Understanding Through ESPnet. - Siddhant Arora; Siddharth Dalmia; Pavel Denisov; Xuankai Chang; Yushi Ueda; Yifan Peng; Yuekai Zhang; Sujay Kumar; Karthik Ganesan 003; Brian Yan; Ngoc Thang Vu; Alan W. Black; et al. (ICASSP, 2022)

RoS-KD: A Robust Stochastic Knowledge Distillation Approach for Noisy Medical Imaging. - Ajay Jaiswal; Kumar Ashutosh; Justin F. Rousseau; Yifan Peng; Zhangyang Wang; Ying Ding 001 (ICDM, 2022)

Radiology Text Analysis System (RadText): Architecture and Evaluation. - Song Wang; Mingquan Lin; Ying Ding 001; George Shih; Zhiyong Lu; Yifan Peng (ICHI, 2022)

Branchformer: Parallel MLP-Attention Architectures to Capture Local and Global Context for Speech Recognition and Understanding. - Yifan Peng; Siddharth Dalmia; Ian R. Lane; Shinji Watanabe 001 (ICML, 2022)

Attention Weight Smoothing Using Prior Distributions for Transformer-Based End-to-End ASR. - Takashi Maekaku; Yuya Fujita; Yifan Peng; Shinji Watanabe 001 (INTERSPEECH, 2022)

CMU's IWSLT 2022 Dialect Speech Translation System. - Brian Yan; Patrick Fernandes; Siddharth Dalmia; Jiatong Shi; Yifan Peng; Dan Berrebbi; Xinyi Wang 001; Graham Neubig; Shinji Watanabe 001 (IWSLT@ACL, 2022)

Lymph node detection in T2 MRI with transformers. - Tejas Sudharshan Mathai; Sungwon Lee; Daniel C. Elton; Thomas C. Shen; Yifan Peng; Zhiyong Lu; Ronald M. Summers (Medical Imaging: Computer-Aided Diagnosis, 2022)

Long-Tailed Classification of Thorax Diseases on Chest X-Ray: A New Benchmark Study. - Gregory Holste; Song Wang; Ziyu Jiang; Thomas C. Shen; George Shih; Ronald M. Summers; Yifan Peng; Zhangyang Wang (DALI@MICCAI, 2022)

Predicting Age-related Macular Degeneration Progression with Longitudinal Fundus Images Using Deep Learning. - Junghwan Lee; Tingyi Wanyan; Qingyu Chen 001; Tiarnan D. L. Keenan; Benjamin S. Glicksberg; Emily Y. Chew; Zhiyong Lu; Fei Wang 001; Yifan Peng (MLMI@MICCAI, 2022)

Multi-scale Multi-structure Siamese Network (MMSNet) for Primary Open-Angle Glaucoma Prediction. - Mingquan Lin; Lei Liu; Mae Gorden; Michael Kass; Sarah Van Tassel; Fei Wang 001; Yifan Peng (MLMI@MICCAI, 2022)

Few-Shot Learning Geometric Ensemble for Multi-label Classification of Chest X-Rays. - Dana Moukheiber; Saurabh Mahindre; Lama Moukheiber; Mira Moukheiber; Song Wang; Chunwei Ma; George Shih; Yifan Peng; Mingchen Gao (DALI@MICCAI, 2022)

Time-multiplexed Neural Holography: A Flexible Framework for Holographic Near-eye Displays with Fast Heavily-quantized Spatial Light Modulators. - Suyeon Choi; Manu Gopakumar; Yifan Peng; Jonghyun Kim; Matthew O'Toole; Gordon Wetzstein (SIGGRAPH (Conference Paper Track), 2022)

Holographic Glasses for Virtual Reality. - Jonghyun Kim; Manu Gopakumar; Suyeon Choi; Yifan Peng; Ward Lopes; Gordon Wetzstein (SIGGRAPH (Conference Paper Track), 2022)

E-Branchformer: Branchformer with Enhanced Merging for Speech Recognition. - Kwangyoun Kim; Felix Wu; Yifan Peng; Jing Pan; Prashant Sridhar; Kyu Jeong Han; Shinji Watanabe 001 (SLT, 2022)

A Study on the Integration of Pre-Trained SSL, ASR, LM and SLU Models for Spoken Language Understanding. - Yifan Peng; Siddhant Arora; Yosuke Higuchi; Yushi Ueda; Sujay Kumar; Karthik Ganesan 003; Siddharth Dalmia; Xuankai Chang; Shinji Watanabe 001 (SLT, 2022)

Knowledge-Augmented Contrastive Learning for Abnormality Classification and Localization in Chest X-rays with Radiomics using a Feedback Loop. - Yan Han; Chongyan Chen; Ahmed H. Tewfik; Benjamin S. Glicksberg; Ying Ding 001; Yifan Peng; Zhangyang Wang (WACV, 2022)

Temperature-Robust Learned Image Recovery for Shallow-Designed Imaging Systems. - Wei Chen 097; Bingyun Qi; Xu Liu 022; Haifeng Li 002; Xiang Hao; Yifan Peng (Adv. Intell. Syst., 2022)

Prior Knowledge Enhances Radiology Report Generation. - Song Wang; Liyan Tang; Mingquan Lin; George Shih; Ying Ding 001; Yifan Peng (CoRR, 2022)

SODA: A Natural Language Processing Package to Extract Social Determinants of Health for Cancer Studies. - Zehao Yu; Xi Yang 015; Chong Dang; Prakash Adekkanattu; Braja Gopal Patra; Yifan Peng; Jyotishman Pathak; Debbie L. Wilson; Ching-Yuan Chang; Wei-Hsuan Lo-Ciganic; Thomas J. George; William R. Hogan; et al. (CoRR, 2022)

Design and validation of a FHIR-based EHR-driven phenotyping toolbox. - Pascal S. Brandt; Jennifer A. Pacheco; Prakash Adekkanattu; Evan Sholle; Sajjad Abedian; Daniel J. Stone; David Knaack; Jie Xu 012; Zhenxing Xu; Yifan Peng; Natalie C. Benda; Fei Wang 001; et al. (J. Am. Medical Informatics Assoc., 2022)

Trustworthy assertion classification through prompting. - Song Wang; Liyan Tang; Akash Majety; Justin F. Rousseau; George Shih; Ying Ding 001; Yifan Peng (J. Biomed. Informatics, 2022)

Global-Local attention network with multi-task uncertainty loss for abnormal lymph node detection in MR images. - Shuai Wang; Yingying Zhu 003; Sungwon Lee; Daniel C. Elton; Thomas C. Shen; Youbao Tang; Yifan Peng; Zhiyong Lu; Ronald M. Summers (Medical Image Anal., 2022)

Learning scale awareness in keypoint extraction and description. - Xuelun Shen; Cheng Wang 003; Xin Li 003; Yifan Peng; Zijian He; Chenglu Wen; Ming Cheng 002 (Pattern Recognit., 2022)

Robust convolutional neural networks against adversarial attacks on medical images. - Xiaoshuang Shi; Yifan Peng; Qingyu Chen 001; Tiarnan D. Keenan; Alisa T. Thavikulwat; Sungwon Lee; Yuxing Tang; Emily Y. Chew; Ronald M. Summers; Zhiyong Lu (Pattern Recognit., 2022)

Anomaly Detection of Calcifications in Mammography Based on 11, 000 Negative Cases. - Rui Hou 002; Yifan Peng; Lars J. Grimm; Yinhao Ren; Maciej A. Mazurowski; Jeffrey R. Marks; Lorraine M. King; Carlo C. Maley; Eun-Sil Shelley Hwang; Joseph Y. Lo (IEEE Trans. Biomed. Eng., 2022)

Video See-Through Mixed Reality with Focus Cues. - Christoph Ebner; Shohei Mori; Peter Mohr; Yifan Peng; Dieter Schmalstieg; Gordon Wetzstein; Denis Kalkofen (IEEE Trans. Vis. Comput. Graph., 2022)

Color Contrast Enhanced Rendering for Optical See-Through Head-Mounted Displays. - Yunjin Zhang; Rui Wang 004; Yifan Peng; Wei Hua; Hujun Bao (IEEE Trans. Vis. Comput. Graph., 2022)

Less Likely Brainstorming: Using Language Models to Generate Alternative Hypotheses. - Liyan Tang; Yifan Peng; Yanshan Wang; Ying Ding 001; Greg Durrett; Justin F. Rousseau (ACL (Findings), 2023)

ESPnet-ST-v2: Multipurpose Spoken Language Translation Toolkit. - Brian Yan; Jiatong Shi; Yun Tang 002; Hirofumi Inaguma; Yifan Peng; Siddharth Dalmia; Peter Polak; Patrick Fernandes; Dan Berrebbi; Tomoki Hayashi; Xiaohui Zhang 007; Zhaoheng Ni; et al. (ACL (demo), 2023)

Joint Prediction and Denoising for Large-Scale Multilingual Self-Supervised Learning. - William Chen; Jiatong Shi; Brian Yan; Dan Berrebbi; Wangyou Zhang; Yifan Peng; Xuankai Chang; Soumi Maiti; Shinji Watanabe 001 (ASRU, 2023)

Reproducing Whisper-Style Training Using An Open-Source Toolkit And Publicly Available Data. - Yifan Peng; Jinchuan Tian; Brian Yan; Dan Berrebbi; Xuankai Chang; Xinjian Li; Jiatong Shi; Siddhant Arora; William Chen; Roshan S. Sharma; Wangyou Zhang; Yui Sudo; et al. (ASRU, 2023)

A Study on the Integration of Pipeline and E2E SLU Systems for Spoken Semantic Parsing Toward Stop Quality Challenge. - Siddhant Arora; Hayato Futami; Shih-Lun Wu; Jessica Huynh; Yifan Peng; Yosuke Kashiwagi; Emiru Tsunoo; Brian Yan; Shinji Watanabe 001 (ICASSP, 2023)

Improving Massively Multilingual ASR with Auxiliary CTC Objectives. - William Chen; Brian Yan; Jiatong Shi; Yifan Peng; Soumi Maiti; Shinji Watanabe 001 (ICASSP, 2023)

The Pipeline System of ASR and NLU with MLM-based data Augmentation Toward Stop Low-Resource Challenge. - Hayato Futami; Jessica Huynh; Siddhant Arora; Shih-Lun Wu; Yosuke Kashiwagi; Yifan Peng; Brian Yan; Emiru Tsunoo; Shinji Watanabe 001 (ICASSP, 2023)

E-Branchformer-Based E2E SLU Toward Stop on-Device Challenge. - Yosuke Kashiwagi; Siddhant Arora; Hayato Futami; Jessica Huynh; Shih-Lun Wu; Yifan Peng; Brian Yan; Emiru Tsunoo; Shinji Watanabe 001 (ICASSP, 2023)

Speechlmscore: Evaluating Speech Generation Using Speech Language Model. - Soumi Maiti; Yifan Peng; Takaaki Saeki; Shinji Watanabe 001 (ICASSP, 2023)

Structured Pruning of Self-Supervised Pre-Trained Models for Speech Recognition and Understanding. - Yifan Peng; Kwangyoun Kim; Felix Wu; Prashant Sridhar; Shinji Watanabe 001 (ICASSP, 2023)

I3D: Transformer Architectures with Input-Dependent Dynamic Depth for Speech Recognition. - Yifan Peng; Jaesong Lee; Shinji Watanabe 001 (ICASSP, 2023)

Learning A Room with the Occ-SDF Hybrid: Signed Distance Function Mingled with Occupancy Aids Scene Representation. - Xiaoyang Lyu; Peng Dai 003; Zizhang Li; Dongyu Yan; Yi Lin; Yifan Peng; Xiaojuan Qi 001 (ICCV, 2023)

Identification of Offensive Language in Social Media Using Prompt Learning. - Leilei Su; Zezheng Wang; Yifan Peng; Cong Sun 004 (ICHI, 2023)

Optimizing Embedding Space with Sub-categorical Supervised Pre-training: A Theoretical Approach Towards Improving Sepsis Prediction. - Tingyi Wanyan; Mingquan Lin; Ying Ding 001; Benjamin S. Glicksberg; Fei Wang 001; Yifan Peng (ICHI, 2023)

Reducing Barriers to Self-Supervised Learning: HuBERT Pre-training with Academic Compute. - William Chen; Xuankai Chang; Yifan Peng; Zhaoheng Ni; Soumi Maiti; Shinji Watanabe 001 (INTERSPEECH, 2023)

Tensor decomposition for minimization of E2E SLU model toward on-device processing. - Yosuke Kashiwagi; Siddhant Arora; Hayato Futami; Jessica Huynh; Shih-Lun Wu; Yifan Peng; Brian Yan; Emiru Tsunoo; Shinji Watanabe 001 (INTERSPEECH, 2023)

A Comparative Study on E-Branchformer vs Conformer in Speech Recognition, Translation, and Understanding Tasks. - Yifan Peng; Kwangyoun Kim; Felix Wu; Brian Yan; Siddhant Arora; William Chen; Jiyang Tang; Suwon Shon; Prashant Sridhar; Shinji Watanabe 001 (INTERSPEECH, 2023)

DPHuBERT: Joint Distillation and Pruning of Self-Supervised Speech Models. - Yifan Peng; Yui Sudo; Muhammad Shakeel 001; Shinji Watanabe 001 (INTERSPEECH, 2023)

Time-synchronous one-pass Beam Search for Parallel Online and Offline Transducers with Dynamic Block Training. - Yui Sudo; Muhammad Shakeel 001; Yifan Peng; Shinji Watanabe 001 (INTERSPEECH, 2023)

Message from the ISMAR 2023 Science and Technology Conference Program Chairs. - Gerd Bruder; Anne-Hélène Olivier; Andrew Cunningham; Yifan (Evan) Peng; Jens Grubert; Ian Williams 001 (ISMAR, 2023)

CMU's IWSLT 2023 Simultaneous Speech Translation System. - Brian Yan; Jiatong Shi; Soumi Maiti; William Chen; Xinjian Li; Yifan Peng; Siddhant Arora; Shinji Watanabe 001 (IWSLT@ACL, 2023)

How Does Pruning Impact Long-Tailed Multi-label Medical Image Classifiers? - Gregory Holste; Ziyu Jiang; Ajay Jaiswal; Maria Hanna; Shlomo Minkowitz; Alan C. Legasto; Joanna G. Escalon; Sharon Steinberger; Mark Bittman; Thomas C. Shen; Ying Ding 001; Ronald M. Summers; et al. (MICCAI (5), 2023)

Utilizing Longitudinal Chest X-Rays and Reports to Pre-fill Radiology Reports. - Qingqing Zhu; Tejas Sudharshan Mathai; Pritam Mukherjee; Yifan Peng; Ronald M. Summers; Zhiyong Lu (MICCAI (5), 2023)

How Good Is ChatGPT for Medication Evidence Synthesis? - Hao Liu 054; Yifan Peng; Chunhua Weng (MIE, 2023)

Adaptive Recurrent Frame Prediction with Learnable Motion Vectors. - Zhizhen Wu; Chenyu Zuo; Yuchi Huo; Yazhen Yuan; Yifan Peng; Guiyang Pu; Rui Wang 004; Hujun Bao (SIGGRAPH Asia, 2023)

Attend Who is Weak: Pruning-assisted Medical Image Localization under Sophisticated and Implicit Imbalances. - Ajay Jaiswal; Tianlong Chen; Justin F. Rousseau; Yifan Peng; Ying Ding 001; Zhangyang Wang (WACV, 2023)

Evaluate underdiagnosis and overdiagnosis bias of deep learning model on primary open-angle glaucoma diagnosis in under-served patient populations. - Mingquan Lin; Yuyun Xiao; Bo-Jian Hou; Tingyi Wanyan; Mohit Manoj Sharma; Zhangyang Wang; Fei Wang 001; Sarah Van Tassel; Yifan Peng (CoRR, 2023)

FactReranker: Fact-guided Reranker for Faithful Radiology Report Summarization. - Qianqian Xie; Jiayu Zhou; Yifan Peng; Fei Wang 001 (CoRR, 2023)

Generative Modeling via Hierarchical Tensor Sketching. - Yifan Peng; Yian Chen; E. Miles Stoudenmire; Yuehaw Khoo (CoRR, 2023)

From Military to Healthcare: Adopting and Expanding Ethical Principles for Generative Artificial Intelligence. - David Oniani; Jordan Hilsman; Yifan Peng; Ronald K. Poropatich; Jeremy C. Pamplin; Gary L. Legault; Yanshan Wang (CoRR, 2023)

High-performance Data Management for Whole Slide Image Analysis in Digital Pathology. - Haoju Leng; Ruining Deng; Shunxing Bao; Dazheng Fang; Bryan A. Millis; Yucheng Tang; Haichun Yang; Xiao Wang 004; Yifan Peng; Lipeng Wan; Yuankai Huo (CoRR, 2023)

Demonstration-based learning for few-shot biomedical named entity recognition under machine reading comprehension. - Leilei Su; Jian Chen; Yifan Peng; Cong Sun 004 (CoRR, 2023)

Dynamic-SUPERB: Towards A Dynamic, Collaborative, and Comprehensive Instruction-Tuning Benchmark for Speech. - Chien-yu Huang; Ke-Han Lu; Shih-Heng Wang; Chi-Yuan Hsiao; Chun-Yi Kuan; Haibin Wu; Siddhant Arora; Kai-Wei Chang; Jiatong Shi; Yifan Peng; Roshan S. Sharma; Shinji Watanabe 001; et al. (CoRR, 2023)

UniverSLU: Universal Spoken Language Understanding for Diverse Classification and Sequence Generation Tasks with a Single Network. - Siddhant Arora; Hayato Futami; Jee-weon Jung; Yifan Peng; Roshan S. Sharma; Yosuke Kashiwagi; Emiru Tsunoo; Shinji Watanabe 001 (CoRR, 2023)

Leveraging Generative AI for Clinical Evidence Summarization Needs to Achieve Trustworthiness. - Gongbo Zhang; Qiao Jin 001; Denis Jered McInerney; Yong Chen 016; Fei Wang 001; Curtis L. Cole; Qian Yang 004; Yanshan Wang; Bradley A. Malin; Mor Peleg; Byron C. Wallace; Zhiyong Lu; et al. (CoRR, 2023)

EvidenceMap: a three-level knowledge representation for medical evidence computation and comprehension. - Tian Kang; Yingcheng Sun; Jae Hyun Kim; Casey N. Ta; Adler J. Perotte; Kayla Schiffer; Mutong Wu; Yang Zhao; Nour Moustafa-Fahmy; Yifan Peng; Chunhua Weng (J. Am. Medical Informatics Assoc., 2023)

A non-gradient method for solving elliptic partial differential equations with deep neural networks. - Yifan Peng; Dan Hu; Zin-Qin John Xu (J. Comput. Phys., 2023)

Efficient long-range convolutions for point clouds. - Yifan Peng; Lin Lin 001; Lexing Ying; Leonardo Zepeda-Núñez (J. Comput. Phys., 2023)

Adopting and expanding ethical principles for generative artificial intelligence from military to healthcare. - David Oniani; Jordan Hilsman; Yifan Peng; Ronald K. Poropatich; Jeremy C. Pamplin; Gary L. Legault; Yanshan Wang (npj Digit. Medicine, 2023)

Evaluating large language models on medical evidence summarization. - Liyan Tang; Zhaoyi Sun; Betina Ross S. Idnay; Jordan G. Nestor; Ali Soroush; Pierre A. Elias; Ziyang Xu; Ying Ding 001; Greg Durrett; Justin F. Rousseau; Chunhua Weng; Yifan Peng (npj Digit. Medicine, 2023)

Off-Axis Layered Displays: Hybrid Direct-View/Near-Eye Mixed Reality with Focus Cues. - Christoph Ebner; Peter Mohr; Tobias Langlotz; Yifan Peng; Dieter Schmalstieg; Gordon Wetzstein; Denis Kalkofen (IEEE Trans. Vis. Comput. Graph., 2023)

Editorial: Pattern recognition for healthcare analytics. - Inci M. Baytas; Yifan Peng; Arzucan Özgür (Frontiers Digit. Health, 2023)

Radiomics-Guided Global-Local Transformer for Weakly Supervised Pathology Localization in Chest X-Rays. - Yan Han; Gregory Holste; Ying Ding 001; Ahmed H. Tewfik; Yifan Peng; Zhangyang Wang (IEEE Trans. Medical Imaging, 2023)

Enhancing thoracic disease detection using chest X-rays from PubMed Central Open Access. - Mingquan Lin; Bo-Jian Hou; Swati Mishra 006; Tianyuan Yao; Yuankai Huo; Qian Yang 004; Fei Wang 001; George Shih; Yifan Peng (Comput. Biol. Medicine, 2023)

Representing and utilizing clinical textual data for real world studies: An OHDSI approach. - Vipina Kuttichi Keloth; Juan M. Banda; Michael J. Gurley; Paul M. Heider; Georgina Kennedy; Hongfang Liu; Feifan Liu; Timothy A. Miller; Karthik Natarajan; Olga V. Patterson; Yifan Peng; Kalpana Raja; et al. (J. Biomed. Informatics, 2023)

An NLP approach to identify SDoH-related circumstance and suicide crisis from death investigation narratives. - Song Wang; Yifang Dang; Zhaoyi Sun; Ying Ding 001; Jyotishman Pathak; Cui Tao; Yunyu Xiao; Yifan Peng (J. Am. Medical Informatics Assoc., 2023)

A scoping review on multimodal deep learning in biomedical images and texts. - Zhaoyi Sun; Mingquan Lin; Qingqing Zhu; Qianqian Xie; Fei Wang 001; Zhiyong Lu; Yifan Peng (J. Biomed. Informatics, 2023)

OWSM-CTC: An Open Encoder-Only Speech Foundation Model for Speech Recognition, Translation, and Language Identification. - Yifan Peng; Yui Sudo; Muhammad Shakeel 001; Shinji Watanabe 001 (ACL (1), 2024)

Learned Scanpaths Aid Blind Panoramic Video Quality Assessment. - Kanglong Fan; Wen Wen; Mu Li 005; Yifan Peng; Kede Ma (CVPR, 2024)

Dynamic-Superb: Towards a Dynamic, Collaborative, and Comprehensive Instruction-Tuning Benchmark For Speech. - Chien-Yu Huang; Ke-Han Lu; Shih-Heng Wang; Chi-Yuan Hsiao; Chun-Yi Kuan; Haibin Wu; Siddhant Arora; Kai-Wei Chang; Jiatong Shi; Yifan Peng; Roshan S. Sharma; Shinji Watanabe 001; et al. (ICASSP, 2024)

VoxtLM: Unified Decoder-Only Models for Consolidating Speech Recognition, Synthesis and Speech, Text Continuation Tasks. - Soumi Maiti; Yifan Peng; Shukjae Choi; Jee-Weon Jung; Xuankai Chang; Shinji Watanabe 001 (ICASSP, 2024)

Joint Optimization of Streaming and Non-Streaming Automatic Speech Recognition with Multi-Decoder and Knowledge Distillation. - Muhammad Shakeel 001; Yui Sudo; Yifan Peng; Shinji Watanabe 001 (ICASSP Workshops, 2024)

Contextualized Automatic Speech Recognition With Attention-Based Bias Phrase Boosted Beam Search. - Yui Sudo; Muhammad Shakeel 001; Yosuke Fukumoto; Yifan Peng; Shinji Watanabe 001 (ICASSP, 2024)

Message from the Program Chairs; ICHI 2024. - Yanshan Wang; Yifan Peng; Mei Liu; Xinning Gui; Zhengxing Huang; Gregor Stiglic (ICHI, 2024)

Analyzing Social Factors to Enhance Suicide Prevention Across Population Groups. - Richard Li Xu; Song Wang; Zewei Wang; Yuhan Zhang; Yunyu Xiao; Jyotishman Pathak; David Hodge; Yan Leng; S. Craig Watkins; Ying Ding 001; Yifan Peng (ICHI, 2024)

UniverSLU: Universal Spoken Language Understanding for Diverse Tasks with Natural Language Instructions. - Siddhant Arora; Hayato Futami; Jee-weon Jung; Yifan Peng; Roshan S. Sharma; Yosuke Kashiwagi; Emiru Tsunoo; Karen Livescu; Shinji Watanabe 001 (NAACL-HLT, 2024)

Neural Bokeh: Learning Lens Blur for Computational Videography and Out-of-Focus Mixed Reality. - David Mandl; Shohei Mori; Peter Mohr; Yifan Peng; Tobias Langlotz; Dieter Schmalstieg; Denis Kalkofen (VR, 2024)

A Span-based Model for Extracting Overlapping PICO Entities from RCT Publications. - Gongbo Zhang; Yiliang Zhou; Yan Hu; Hua Xu 001; Chunhua Weng; Yifan Peng (CoRR, 2024)

Hidden Flaws Behind Expert-Level Accuracy of GPT-4 Vision in Medicine. - Qiao Jin 001; Fangyuan Chen; Yiliang Zhou; Ziyang Xu; Justin M. Cheung; Robert Chen; Ronald M. Summers; Justin F. Rousseau; Peiyun Ni; Marc J. Landsman; Sally L. Baxter; Subhi J. Al'Aref; et al. (CoRR, 2024)

Nonparametric Estimation via Variance-Reduced Sketching. - Yuehaw Khoo; Yifan Peng; Daren Wang (CoRR, 2024)

Improving Fairness of Automated Chest X-ray Diagnosis by Contrastive Learning. - Mingquan Lin; Tianhao Li; Zhaoyi Sun; Gregory Holste; Ying Ding 001; Fei Wang 001; George Shih; Yifan Peng (CoRR, 2024)

OWSM v3.1: Better and Faster Open Whisper-Style Speech Models based on E-Branchformer. - Yifan Peng; Jinchuan Tian; William Chen; Siddhant Arora; Brian Yan; Yui Sudo; Muhammad Shakeel 001; Kwanghee Choi; Jiatong Shi; Xuankai Chang; Jee-weon Jung; Shinji Watanabe 001 (CoRR, 2024)

SpeechComposer: Unifying Multiple Speech Tasks with Prompt Composition. - Yihan Wu; Soumi Maiti; Yifan Peng; Wangyou Zhang; Chenda Li; Yuyue Wang 003; Xihua Wang; Shinji Watanabe 001; Ruihua Song (CoRR, 2024)

An Empirical Study of Speech Language Models for Prompt-Conditioned Speech Synthesis. - Yifan Peng; Ilia Kulikov; Yilin Yang; Sravya Popuri; Hui Lu; Changhan Wang; Hongyu Gong (CoRR, 2024)

MSLM-S2ST: A Multitask Speech Language Model for Textless Speech-to-Speech Translation with Speaker Style Preservation. - Yifan Peng; Ilia Kulikov; Yilin Yang; Sravya Popuri; Hui Lu; Changhan Wang; Hongyu Gong (CoRR, 2024)

Evaluating GPT-4 with Vision on Detection of Radiological Findings on Chest Radiographs. - Yiliang Zhou; Hanley Ong; Patrick Kennedy; Carol C. Wu; Jacob Kazam; Keith Hentel; Adam E. Flanders; George Shih; Yifan Peng (CoRR, 2024)

Uncovering Misattributed Suicide Causes through Annotation Inconsistency Detection in Death Investigation Notes. - Song Wang; Yiliang Zhou; Ziqiang Han; Cui Tao; Yunyu Xiao; Ying Ding 001; Joydeep Ghosh; Yifan Peng (CoRR, 2024)

A Literature Review and Framework for Human Evaluation of Generative Large Language Models in Healthcare. - Thomas Yu Chow Tam; Sonish Sivarajkumar; Sumit Kapoor; Alisa V. Stolyar; Katelyn Polanska; Karleigh R. McCarthy; Hunter Osterhoudt; Xizhi Wu; Shyam Visweswaran; Sunyang Fu; Piyush Mathur; Giovanni E. Cacciamani; et al. (CoRR, 2024)

Characterizing the Dilemma of Performance and Index Size in Billion-Scale Vector Search and Breaking It with Second-Tier Memory. - Rongxin Chen; Yifan Peng; Xingda Wei; Hongrui Xie; Rong Chen 001; Sijie Shen; Haibo Chen 001 (CoRR, 2024)

Point Resampling and Ray Transformation Aid to Editable NeRF Models. - Zhenyang Li; Zilong Chen; Feifan Qu; Mingqing Wang; Yizhou Zhao; Kai Zhang; Yifan Peng (CoRR, 2024)

Contextualized Automatic Speech Recognition with Dynamic Vocabulary. - Yui Sudo; Yosuke Fukumoto; Muhammad Shakeel 001; Yifan Peng; Shinji Watanabe 001 (CoRR, 2024)

4D ASR: Joint Beam Search Integrating CTC, Attention, Transducer, and Mask Predict Decoders. - Yui Sudo; Muhammad Shakeel 001; Yosuke Fukumoto; Brian Yan; Jiatong Shi; Yifan Peng; Shinji Watanabe 001 (CoRR, 2024)

On the Effects of Heterogeneous Data Sources on Speech-to-Text Foundation Models. - Jinchuan Tian; Yifan Peng; William Chen; Kwanghee Choi; Karen Livescu; Shinji Watanabe 001 (CoRR, 2024)

Contextualized End-to-end Automatic Speech Recognition with Intermediate Biasing Loss. - Muhammad Shakeel 001; Yui Sudo; Yifan Peng; Shinji Watanabe 001 (CoRR, 2024)

Towards Robust Speech Representation Learning for Thousands of Languages. - William Chen; Wangyou Zhang; Yifan Peng; Xinjian Li; Jinchuan Tian; Jiatong Shi; Xuankai Chang; Soumi Maiti; Karen Livescu; Shinji Watanabe 001 (CoRR, 2024)

Multi-Convformer: Extending Conformer with Multiple Convolution Kernels. - Darshan Prabhu; Yifan Peng; Preethi Jyothi; Shinji Watanabe 001 (CoRR, 2024)

SDoH-GPT: Using Large Language Models to Extract Social Determinants of Health (SDoH). - Bernardo Consoli; Xizhi Wu; Song Wang; Xinyu Zhao; Yanshan Wang; Justin F. Rousseau; Tom Hartvigsen; Li Shen; Huanmei Wu; Yifan Peng; Qi Long; Tianlong Chen; et al. (CoRR, 2024)

ESPnet-EZ: Python-only ESPnet for Easy Fine-tuning and Integration. - Masao Someki; Kwanghee Choi; Siddhant Arora; William Chen; Samuele Cornell; Jionghao Han; Yifan Peng; Jiatong Shi; Vaibhav Srivastav; Shinji Watanabe 001 (CoRR, 2024)

Robust Audiovisual Speech Recognition Models with Mixture-of-Experts. - Yihan Wu; Yifan Peng; Yichen Lu; Xuankai Chang; Ruihua Song; Shinji Watanabe 001 (CoRR, 2024)

Enhancing disease detection in radiology reports through fine-tuning lightweight LLM on weak labels. - Yishu Wei; Xindi Wang; Hanley Ong; Yiliang Zhou; Adam E. Flanders; George Shih; Yifan Peng (CoRR, 2024)

Large language models in biomedicine and health: current research landscape and future directions. - Zhiyong Lu; Yifan Peng; Trevor Cohen; Marzyeh Ghassemi; Chunhua Weng; Shubo Tian (J. Am. Medical Informatics Assoc., 2024)

Confidence score: a data-driven measure for inclusive systematic reviews considering unpublished preprints. - Jiayi Tong; Chongliang Luo; Yifei Sun; Rui Duan; M. Elle Saine; Lifeng Lin; Yifan Peng; Yiwen Lu; Anchita Batra; Anni Pan; Olivia Wang; Ruowang Li; et al. (J. Am. Medical Informatics Assoc., 2024)

Deep learning with noisy labels in medical prediction problems: a scoping review. - Yishu Wei; Yu Deng; Cong Sun 004; Mingquan Lin; Hongmei Jiang; Yifan Peng (J. Am. Medical Informatics Assoc., 2024)

A span-based model for extracting overlapping PICO entities from randomized controlled trial publications. - Gongbo Zhang; Yiliang Zhou; Yan Hu; Hua Xu 001; Chunhua Weng; Yifan Peng (J. Am. Medical Informatics Assoc., 2024)

Call for papers: Special issue on biomedical multimodal large language models - novel approaches and applications. - Jiang Bian 001; Yifan Peng; Eneida A. Mendonça; Imon Banerjee; Hua Xu 001; Hong Sun; Ye Ye; Casey Overby Taylor; Anália Maria Garcia Lourenço; Alejandro Rodríguez González; Elena Tutubalina (J. Biomed. Informatics, 2024)

A survey of recent methods for addressing AI fairness and bias in biomedicine. - Yifan Yang; Mingquan Lin; Han Zhao 002; Yifan Peng; Furong Huang; Zhiyong Lu (J. Biomed. Informatics, 2024)

Identifying social determinants of health from clinical narratives: A study of performance, documentation ratio, and potential bias. - Zehao Yu; Cheng Peng 009; Xi Yang 015; Chong Dang; Prakash Adekkanattu; Braja Gopal Patra; Yifan Peng; Jyotishman Pathak; Debbie L. Wilson; Ching-Yuan Chang; Wei-Hsuan Lo-Ciganic; Thomas J. George; et al. (J. Biomed. Informatics, 2024)

Leveraging generative AI for clinical evidence synthesis needs to ensure trustworthiness. - Gongbo Zhang; Qiao Jin 001; Denis Jered McInerney; Yong Chen 016; Fei Wang 001; Curtis L. Cole; Qian Yang 004; Yanshan Wang; Bradley A. Malin; Mor Peleg; Byron C. Wallace; Zhiyong Lu; et al. (J. Biomed. Informatics, 2024)

Towards long-tailed, multi-label disease classification from chest X-ray: Overview of the CXR-LT challenge. - Gregory Holste; Yiliang Zhou; Song Wang; Ajay Jaiswal; Mingquan Lin; Sherry Zhuge; Yuzhe Yang; Dongkyun Kim; Trong-Hieu Nguyen Mau; Minh-Triet Tran; Jaehyup Jeong; Wongi Park; et al. (Medical Image Anal., 2024)

Harnessing the power of longitudinal medical imaging for eye disease prognosis using Transformer-based sequence modeling. - Gregory Holste; Mingquan Lin; Ruiwen Zhou; Fei Wang 001; Lei Liu; Qi Yan 008; Sarah Van Tassel; Kyle Kovacs; Emily Y. Chew; Zhiyong Lu; Zhangyang Wang; Yifan Peng (npj Digit. Medicine, 2024)

Author Correction: Harnessing the power of longitudinal medical imaging for eye disease prognosis using Transformer-based sequence modeling. - Gregory Holste; Mingquan Lin; Ruiwen Zhou; Fei Wang 001; Lei Liu; Qi Yan 008; Sarah Van Tassel; Kyle Kovacs; Emily Y. Chew; Zhiyong Lu; Zhangyang Wang; Yifan Peng (npj Digit. Medicine, 2024)

Hidden flaws behind expert-level accuracy of multimodal GPT-4 vision in medicine. - Qiao Jin 001; Fangyuan Chen; Yiliang Zhou; Ziyang Xu; Justin M. Cheung; Robert Chen; Ronald M. Summers; Justin F. Rousseau; Peiyun Ni; Marc J. Landsman; Sally L. Baxter; Subhi J. Al'Aref; et al. (npj Digit. Medicine, 2024)

A framework for human evaluation of large language models in healthcare derived from literature review. - Thomas Yu Chow Tam; Sonish Sivarajkumar; Sumit Kapoor; Alisa V. Stolyar; Katelyn Polanska; Karleigh R. McCarthy; Hunter Osterhoudt; Xizhi Wu; Shyam Visweswaran; Sunyang Fu; Piyush Mathur; Giovanni E. Cacciamani; et al. (npj Digit. Medicine, 2024)

Closing the gap between open source and commercial large language models for medical evidence summarization. - Gongbo Zhang; Qiao Jin 001; Yiliang Zhou; Song Wang; Betina Idnay; Yiming Luo; Elizabeth Park; Jordan G. Nestor; Matthew E. Spotnitz; Ali Soroush; Thomas Campion; Zhiyong Lu; et al. (npj Digit. Medicine, 2024)

Multimodal multi-objective optimization based on local optimal neighborhood crowding distance differential evolution algorithm. - Qinghua Gu; Yifan Peng; Qian Wang; Song Jiang 003 (Neural Comput. Appl., 2024)

LightFormer: Light-Oriented Global Neural Rendering in Dynamic Scene. - Haocheng Ren; Yuchi Huo; Yifan Peng; Hongtao Sheng; Weidong Xue; Hongxiang Huang; Jingzhen Lan; Rui Wang 004; Hujun Bao (ACM Trans. Graph., 2024)