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Yifan (Evan) Peng
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2020 – today
- 2024
[j66]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, Arielle Marks-Anglin, Yuchen Yang, Xu Zuo, Yulun Liu, Jiang Bian, Stephen E. Kimmel, Keith Hamilton, Adam Cuker, Rebecca A. Hubbard, Hua Xu, Yong Chen:
Confidence score: a data-driven measure for inclusive systematic reviews considering unpublished preprints. J. Am. Medical Informatics Assoc. 31(4): 809-819 (2024)- [j65]Gongbo Zhang, Yiliang Zhou, Yan Hu, Hua Xu, Chunhua Weng, Yifan Peng:
A span-based model for extracting overlapping PICO entities from randomized controlled trial publications. J. Am. Medical Informatics Assoc. 31(5): 1163-1171 (2024) - [j64]Yishu Wei, Yu Deng, Cong Sun, Mingquan Lin, Hongmei Jiang, Yifan Peng:
Deep learning with noisy labels in medical prediction problems: a scoping review. J. Am. Medical Informatics Assoc. 31(7): 1596-1607 (2024) - [j63]Zhiyong Lu, Yifan Peng, Trevor Cohen, Marzyeh Ghassemi, Chunhua Weng, Shubo Tian:
Large language models in biomedicine and health: current research landscape and future directions. J. Am. Medical Informatics Assoc. 31(9): 1801-1811 (2024) - [j62]Gongbo Zhang, Qiao Jin, Denis Jered McInerney, Yong Chen, Fei Wang, Curtis L. Cole, Qian Yang, Yanshan Wang, Bradley A. Malin, Mor Peleg, Byron C. Wallace, Zhiyong Lu, Chunhua Weng, Yifan Peng:
Leveraging generative AI for clinical evidence synthesis needs to ensure trustworthiness. J. Biomed. Informatics 153: 104640 (2024) - [j61]Zehao Yu, Cheng Peng, Xi Yang, 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, Yi Guo, Jiang Bian, Yonghui Wu:
Identifying social determinants of health from clinical narratives: A study of performance, documentation ratio, and potential bias. J. Biomed. Informatics 153: 104642 (2024) - [j60]Yifan Yang, Mingquan Lin, Han Zhao, Yifan Peng, Furong Huang, Zhiyong Lu:
A survey of recent methods for addressing AI fairness and bias in biomedicine. J. Biomed. Informatics 154: 104646 (2024) - [j59]Jiang Bian, Yifan Peng, Eneida A. Mendonça, Imon Banerjee, Hua Xu, Hong Sun, Ye Ye, Casey Overby Taylor, Anália Maria Garcia Lourenço, Alejandro Rodríguez González, Elena Tutubalina:
Call for papers: Special issue on biomedical multimodal large language models - novel approaches and applications. J. Biomed. Informatics 157: 104703 (2024) - [j58]Leilei Su, Jian Chen, Yifan Peng, Cong Sun:
Demonstration-based learning for few-shot biomedical named entity recognition under machine reading comprehension. J. Biomed. Informatics 159: 104739 (2024) - [j57]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, Jongbin Ryu, Feng Hong, Arsh Verma, Yosuke Yamagishi, Changhyun Kim, Hyeryeong Seo, Myungjoo Kang, Leo Anthony Celi, Zhiyong Lu, Ronald M. Summers, George Shih, Zhangyang Wang, Yifan Peng:
Towards long-tailed, multi-label disease classification from chest X-ray: Overview of the CXR-LT challenge. Medical Image Anal. 97: 103224 (2024) - [j56]Qinghua Gu, Yifan Peng, Qian Wang, Song Jiang:
Multimodal multi-objective optimization based on local optimal neighborhood crowding distance differential evolution algorithm. Neural Comput. Appl. 36(1): 461-481 (2024) - [j55]Gregory Holste, Mingquan Lin, Ruiwen Zhou, Fei Wang, Lei Liu, Qi Yan, Sarah Van Tassel, Kyle Kovacs, Emily Y. Chew, Zhiyong Lu, Zhangyang Wang, Yifan Peng:
Harnessing the power of longitudinal medical imaging for eye disease prognosis using Transformer-based sequence modeling. npj Digit. Medicine 7(1) (2024) - [j54]Gregory Holste, Mingquan Lin, Ruiwen Zhou, Fei Wang, Lei Liu, Qi Yan, Sarah Van Tassel, Kyle Kovacs, Emily Y. Chew, Zhiyong Lu, Zhangyang Wang, Yifan Peng:
Author Correction: Harnessing the power of longitudinal medical imaging for eye disease prognosis using Transformer-based sequence modeling. npj Digit. Medicine 7(1) (2024) - [j53]Qiao Jin, 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, Yijia Li, Alexander Chen, Josef A. Brejt, Michael F. Chiang, Yifan Peng, Zhiyong Lu:
Hidden flaws behind expert-level accuracy of multimodal GPT-4 vision in medicine. npj Digit. Medicine 7(1) (2024) - [j52]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, Cong Sun, Yifan Peng, Yanshan Wang:
A framework for human evaluation of large language models in healthcare derived from literature review. npj Digit. Medicine 7(1) (2024) - [j51]Gongbo Zhang, Qiao Jin, Yiliang Zhou, Song Wang, Betina Idnay, Yiming Luo, Elizabeth Park, Jordan G. Nestor, Matthew E. Spotnitz, Ali Soroush, Thomas Campion, Zhiyong Lu, Chunhua Weng, Yifan Peng:
Closing the gap between open source and commercial large language models for medical evidence summarization. npj Digit. Medicine 7(1) (2024) - [j50]Haocheng Ren, Yuchi Huo, Yifan Peng, Hongtao Sheng, Weidong Xue, Hongxiang Huang, Jingzhen Lan, Rui Wang, Hujun Bao:
LightFormer: Light-Oriented Global Neural Rendering in Dynamic Scene. ACM Trans. Graph. 43(4): 75:1-75:14 (2024) - [j49]Zheng Shi, Xiong Dun, Haoyu Wei, Siyu Dong, Zhanshan Wang, Xinbin Cheng, Felix Heide, Yifan Peng:
Learned Multi-aperture Color-coded Optics for Snapshot Hyperspectral Imaging. ACM Trans. Graph. 43(6): 208:1-208:11 (2024) - [c100]Yifan Peng, Yui Sudo, Muhammad Shakeel, Shinji Watanabe:
OWSM-CTC: An Open Encoder-Only Speech Foundation Model for Speech Recognition, Translation, and Language Identification. ACL (1) 2024: 10192-10209 - [c99]Kanglong Fan, Wen Wen, Mu Li, Yifan Peng, Kede Ma:
Learned Scanpaths Aid Blind Panoramic Video Quality Assessment. CVPR 2024: 2599-2608 - [c98]William Chen, Wangyou Zhang, Yifan Peng, Xinjian Li, Jinchuan Tian, Jiatong Shi, Xuankai Chang, Soumi Maiti, Karen Livescu, Shinji Watanabe:
Towards Robust Speech Representation Learning for Thousands of Languages. EMNLP 2024: 10205-10224 - [c97]Muhammad Shakeel, Yui Sudo, Yifan Peng, Shinji Watanabe:
Joint Optimization of Streaming and Non-Streaming Automatic Speech Recognition with Multi-Decoder and Knowledge Distillation. ICASSP Workshops 2024: 570-574 - [c96]Yui Sudo, Muhammad Shakeel, Yosuke Fukumoto, Yifan Peng, Shinji Watanabe:
Contextualized Automatic Speech Recognition With Attention-Based Bias Phrase Boosted Beam Search. ICASSP 2024: 10896-10900 - [c95]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, Bhiksha Ramakrishnan, Shady Shehata, Hung-Yi Lee:
Dynamic-Superb: Towards a Dynamic, Collaborative, and Comprehensive Instruction-Tuning Benchmark For Speech. ICASSP 2024: 12136-12140 - [c94]Soumi Maiti, Yifan Peng, Shukjae Choi, Jee-Weon Jung, Xuankai Chang, Shinji Watanabe:
VoxtLM: Unified Decoder-Only Models for Consolidating Speech Recognition, Synthesis and Speech, Text Continuation Tasks. ICASSP 2024: 13326-13330 - [c93]Richard Li Xu, Song Wang, Zewei Wang, Yuhan Zhang, Yunyu Xiao, Jyotishman Pathak, David Hodge, Yan Leng, S. Craig Watkins, Ying Ding, Yifan Peng:
Analyzing Social Factors to Enhance Suicide Prevention Across Population Groups. ICHI 2024: 189-199 - [c92]Yanshan Wang, Yifan Peng, Mei Liu, Xinning Gui, Zhengxing Huang, Gregor Stiglic:
Message from the Program Chairs; ICHI 2024. ICHI 2024: xxiii-xxiv - [c91]Siddhant Arora, Hayato Futami, Jee-weon Jung, Yifan Peng, Roshan S. Sharma, Yosuke Kashiwagi, Emiru Tsunoo, Karen Livescu, Shinji Watanabe:
UniverSLU: Universal Spoken Language Understanding for Diverse Tasks with Natural Language Instructions. NAACL-HLT 2024: 2754-2774 - [c90]Xiuchao Wu, Jiamin Xu, Chi Wang, Yifan Peng, Qixing Huang, James Tompkin, Weiwei Xu:
Local Gaussian Density Mixtures for Unstructured Lumigraph Rendering. SIGGRAPH Asia 2024: 16:1-16:11 - [c89]David Mandl, Shohei Mori, Peter Mohr, Yifan Peng, Tobias Langlotz, Dieter Schmalstieg, Denis Kalkofen:
Neural Bokeh: Learning Lens Blur for Computational Videography and Out-of-Focus Mixed Reality. VR 2024: 870-880 - [i113]Gongbo Zhang, Yiliang Zhou, Yan Hu, Hua Xu, Chunhua Weng, Yifan Peng:
A Span-based Model for Extracting Overlapping PICO Entities from RCT Publications. CoRR abs/2401.06791 (2024) - [i112]Qiao Jin, 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, Yijia Li, Michael F. Chiang, Yifan Peng, Zhiyong Lu:
Hidden Flaws Behind Expert-Level Accuracy of GPT-4 Vision in Medicine. CoRR abs/2401.08396 (2024) - [i111]Yui Sudo, Muhammad Shakeel, Yosuke Fukumoto, Yifan Peng, Shinji Watanabe:
Contextualized Automatic Speech Recognition with Attention-Based Bias Phrase Boosted Beam Search. CoRR abs/2401.10449 (2024) - [i110]Yuehaw Khoo, Yifan Peng, Daren Wang:
Nonparametric Estimation via Variance-Reduced Sketching. CoRR abs/2401.11646 (2024) - [i109]Mingquan Lin, Tianhao Li, Zhaoyi Sun, Gregory Holste, Ying Ding, Fei Wang, George Shih, Yifan Peng:
Improving Fairness of Automated Chest X-ray Diagnosis by Contrastive Learning. CoRR abs/2401.15111 (2024) - [i108]Yifan Peng, Jinchuan Tian, William Chen, Siddhant Arora, Brian Yan, Yui Sudo, Muhammad Shakeel, Kwanghee Choi, Jiatong Shi, Xuankai Chang, Jee-weon Jung, Shinji Watanabe:
OWSM v3.1: Better and Faster Open Whisper-Style Speech Models based on E-Branchformer. CoRR abs/2401.16658 (2024) - [i107]Yihan Wu, Soumi Maiti, Yifan Peng, Wangyou Zhang, Chenda Li, Yuyue Wang, Xihua Wang, Shinji Watanabe, Ruihua Song:
SpeechComposer: Unifying Multiple Speech Tasks with Prompt Composition. CoRR abs/2401.18045 (2024) - [i106]Yifan Yang, Mingquan Lin, Han Zhao, Yifan Peng, Furong Huang, Zhiyong Lu:
A survey of recent methods for addressing AI fairness and bias in biomedicine. CoRR abs/2402.08250 (2024) - [i105]Yifan Peng, Yui Sudo, Muhammad Shakeel, Shinji Watanabe:
OWSM-CTC: An Open Encoder-Only Speech Foundation Model for Speech Recognition, Translation, and Language Identification. CoRR abs/2402.12654 (2024) - [i104]Yifan Peng, Ilia Kulikov, Yilin Yang, Sravya Popuri, Hui Lu, Changhan Wang, Hongyu Gong:
An Empirical Study of Speech Language Models for Prompt-Conditioned Speech Synthesis. CoRR abs/2403.12402 (2024) - [i103]Yifan Peng, Ilia Kulikov, Yilin Yang, Sravya Popuri, Hui Lu, Changhan Wang, Hongyu Gong:
MSLM-S2ST: A Multitask Speech Language Model for Textless Speech-to-Speech Translation with Speaker Style Preservation. CoRR abs/2403.12408 (2024) - [i102]Yishu Wei, Yu Deng, Cong Sun, Mingquan Lin, Hongmei Jiang, Yifan Peng:
Deep learning with noisy labels in medical prediction problems: a scoping review. CoRR abs/2403.13111 (2024) - [i101]Yiliang Zhou, Hanley Ong, Patrick Kennedy, Carol C. Wu, Jacob Kazam, Keith Hentel, Adam E. Flanders, George Shih, Yifan Peng:
Evaluating GPT-4 with Vision on Detection of Radiological Findings on Chest Radiographs. CoRR abs/2403.15528 (2024) - [i100]Song Wang, Yiliang Zhou, Ziqiang Han, Cui Tao, Yunyu Xiao, Ying Ding, Joydeep Ghosh, Yifan Peng:
Uncovering Misattributed Suicide Causes through Annotation Inconsistency Detection in Death Investigation Notes. CoRR abs/2403.19432 (2024) - [i99]Kanglong Fan, Wen Wen, Mu Li, Yifan Peng, Kede Ma:
Learned Scanpaths Aid Blind Panoramic Video Quality Assessment. CoRR abs/2404.00252 (2024) - [i98]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, Cong Sun, Yifan Peng, Yanshan Wang:
A Literature Review and Framework for Human Evaluation of Generative Large Language Models in Healthcare. CoRR abs/2405.02559 (2024) - [i97]Rongxin Chen, Yifan Peng, Xingda Wei, Hongrui Xie, Rong Chen, Sijie Shen, Haibo Chen:
Characterizing the Dilemma of Performance and Index Size in Billion-Scale Vector Search and Breaking It with Second-Tier Memory. CoRR abs/2405.03267 (2024) - [i96]Zhenyang Li, Zilong Chen, Feifan Qu, Mingqing Wang, Yizhou Zhao, Kai Zhang, Yifan Peng:
Point Resampling and Ray Transformation Aid to Editable NeRF Models. CoRR abs/2405.07306 (2024) - [i95]Gregory Holste, Mingquan Lin, Ruiwen Zhou, Fei Wang, Lei Liu, Qi Yan, Sarah Van Tassel, Kyle Kovacs, Emily Y. Chew, Zhiyong Lu, Zhangyang Wang, Yifan Peng:
Harnessing the power of longitudinal medical imaging for eye disease prognosis using Transformer-based sequence modeling. CoRR abs/2405.08780 (2024) - [i94]Yui Sudo, Yosuke Fukumoto, Muhammad Shakeel, Yifan Peng, Shinji Watanabe:
Contextualized Automatic Speech Recognition with Dynamic Vocabulary. CoRR abs/2405.13344 (2024) - [i93]Muhammad Shakeel, Yui Sudo, Yifan Peng, Shinji Watanabe:
Joint Optimization of Streaming and Non-Streaming Automatic Speech Recognition with Multi-Decoder and Knowledge Distillation. CoRR abs/2405.13514 (2024) - [i92]Yui Sudo, Muhammad Shakeel, Yosuke Fukumoto, Brian Yan, Jiatong Shi, Yifan Peng, Shinji Watanabe:
4D ASR: Joint Beam Search Integrating CTC, Attention, Transducer, and Mask Predict Decoders. CoRR abs/2406.02950 (2024) - [i91]Jinchuan Tian, Yifan Peng, William Chen, Kwanghee Choi, Karen Livescu, Shinji Watanabe:
On the Effects of Heterogeneous Data Sources on Speech-to-Text Foundation Models. CoRR abs/2406.09282 (2024) - [i90]Muhammad Shakeel, Yui Sudo, Yifan Peng, Shinji Watanabe:
Contextualized End-to-end Automatic Speech Recognition with Intermediate Biasing Loss. CoRR abs/2406.16120 (2024) - [i89]William Chen, Wangyou Zhang, Yifan Peng, Xinjian Li, Jinchuan Tian, Jiatong Shi, Xuankai Chang, Soumi Maiti, Karen Livescu, Shinji Watanabe:
Towards Robust Speech Representation Learning for Thousands of Languages. CoRR abs/2407.00837 (2024) - [i88]Darshan Prabhu, Yifan Peng, Preethi Jyothi, Shinji Watanabe:
Multi-Convformer: Extending Conformer with Multiple Convolution Kernels. CoRR abs/2407.03718 (2024) - [i87]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, Ying Ding:
SDoH-GPT: Using Large Language Models to Extract Social Determinants of Health (SDoH). CoRR abs/2407.17126 (2024) - [i86]Gongbo Zhang, Qiao Jin, Yiliang Zhou, Song Wang, Betina Ross S. Idnay, Yiming Luo, Elizabeth Park, Jordan G. Nestor, Matthew E. Spotnitz, Ali Soroush, Thomas Campion, Zhiyong Lu, Chunhua Weng, Yifan Peng:
Closing the gap between open-source and commercial large language models for medical evidence summarization. CoRR abs/2408.00588 (2024) - [i85]Masao Someki, Kwanghee Choi, Siddhant Arora, William Chen, Samuele Cornell, Jionghao Han, Yifan Peng, Jiatong Shi, Vaibhav Srivastav, Shinji Watanabe:
ESPnet-EZ: Python-only ESPnet for Easy Fine-tuning and Integration. CoRR abs/2409.09506 (2024) - [i84]Yihan Wu, Yifan Peng, Yichen Lu, Xuankai Chang, Ruihua Song, Shinji Watanabe:
Robust Audiovisual Speech Recognition Models with Mixture-of-Experts. CoRR abs/2409.12370 (2024) - [i83]Yishu Wei, Xindi Wang, Hanley Ong, Yiliang Zhou, Adam E. Flanders, George Shih, Yifan Peng:
Enhancing disease detection in radiology reports through fine-tuning lightweight LLM on weak labels. CoRR abs/2409.16563 (2024) - [i82]Betina Idnay, Zihan Xu, William G. Adams, Mohammad Adibuzzaman, Nicholas R. Anderson, Neil Bahroos, Douglas S. Bell, Cody Bumgardner, Thomas R. Campion Jr., Victor M. Castro, James J. Cimino, I. Glenn Cohen, David A. Dorr, Peter L. Elkin, Jungwei W. Fan, Todd Ferris, David J. Foran, David A. Hanauer, Mike Hogarth, Kun Huang, Jayashree Kalpathy-Cramer, Manoj Kandpal, Niranjan S. Karnik, Avnish Katoch, Albert M. Lai, Christophe G. Lambert, Lang Li, Christopher Lindsell, Jinze Liu, Zhiyong Lu, Yuan Luo, Peter McGarvey, Eneida A. Mendonça, Parsa Mirhaji, Shawn N. Murphy, John D. Osborne, Ioannis Ch. Paschalidis, Paul A. Harris, Fred W. Prior, Nicholas J. Shaheen, Nawar Shara, Ida Sim, Umberto Tachinardi, Lemuel R. Waitman, Rosalind J. Wright, Adrian H. Zai, Kai Zheng, Sandra Soo-Jin Lee, Bradley A. Malin, Karthik Natarajan, W. Nicholson Price, Rui Zhang, Yiye Zhang, Hua Xu, Jiang Bian, Chunhua Weng, Yifan Peng:
Environment Scan of Generative AI Infrastructure for Clinical and Translational Science. CoRR abs/2410.12793 (2024) - [i81]John X. Morris, Thomas R. Campion Jr., Sri Laasya Nutheti, Yifan Peng, Akhil Raj, Ramin Zabih, Curtis L. Cole:
DIRI: Adversarial Patient Reidentification with Large Language Models for Evaluating Clinical Text Anonymization. CoRR abs/2410.17035 (2024) - [i80]Yifan Peng, Krishna C. Puvvada, Zhehuai Chen, Piotr Zelasko, He Huang, Kunal Dhawan, Ke Hu, Shinji Watanabe, Jagadeesh Balam, Boris Ginsburg:
VoiceTextBlender: Augmenting Large Language Models with Speech Capabilities via Single-Stage Joint Speech-Text Supervised Fine-Tuning. CoRR abs/2410.17485 (2024) - [i79]Qiao Jin, Nicholas Wan, Robert Leaman, Shubo Tian, Zhizheng Wang, Yifan Yang, Zifeng Wang, Guangzhi Xiong, Po-Ting Lai, Qingqing Zhu, Benjamin Hou, Maame Sarfo-Gyamfi, Gongbo Zhang, Aidan Gilson, Balu Bhasuran, Zhe He, Aidong Zhang, Jimeng Sun, Chunhua Weng, Ronald M. Summers, Qingyu Chen, Yifan Peng, Zhiyong Lu:
Demystifying Large Language Models for Medicine: A Primer. CoRR abs/2410.18856 (2024) - 2023
- [j48]Mingquan Lin, Bo-Jian Hou, Swati Mishra, Tianyuan Yao, Yuankai Huo, Qian Yang, Fei Wang, George Shih, Yifan Peng:
Enhancing thoracic disease detection using chest X-rays from PubMed Central Open Access. Comput. Biol. Medicine 159: 106962 (2023) - [j47]Inci M. Baytas, Yifan Peng, Arzucan Özgür:
Editorial: Pattern recognition for healthcare analytics. Frontiers Digit. Health 5 (2023) - [j46]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:
EvidenceMap: a three-level knowledge representation for medical evidence computation and comprehension. J. Am. Medical Informatics Assoc. 30(6): 1022-1031 (2023) - [j45]Song Wang, Yifang Dang, Zhaoyi Sun, Ying Ding, Jyotishman Pathak, Cui Tao, Yunyu Xiao, Yifan Peng:
An NLP approach to identify SDoH-related circumstance and suicide crisis from death investigation narratives. J. Am. Medical Informatics Assoc. 30(8): 1408-1417 (2023) - [j44]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, Ruth M. Reeves, Masoud Rouhizadeh, Jianlin Shi, Xiaoyan Wang, Yanshan Wang, Wei-Qi Wei, Andrew E. Williams, Rui Zhang, Rimma Belenkaya, Christian G. Reich, Clair Blacketer, Patrick B. Ryan, George Hripcsak, Noémie Elhadad, Hua Xu:
Representing and utilizing clinical textual data for real world studies: An OHDSI approach. J. Biomed. Informatics 142: 104343 (2023) - [j43]Zhaoyi Sun, Mingquan Lin, Qingqing Zhu, Qianqian Xie, Fei Wang, Zhiyong Lu, Yifan Peng:
A scoping review on multimodal deep learning in biomedical images and texts. J. Biomed. Informatics 146: 104482 (2023) - [j42]Yifan Peng, Dan Hu, Zin-Qin John Xu:
A non-gradient method for solving elliptic partial differential equations with deep neural networks. J. Comput. Phys. 472: 111690 (2023) - [j41]Yifan Peng, Lin Lin, Lexing Ying, Leonardo Zepeda-Núñez:
Efficient long-range convolutions for point clouds. J. Comput. Phys. 473: 111692 (2023) - [j40]David Oniani, Jordan Hilsman, Yifan Peng, Ronald K. Poropatich, Jeremy C. Pamplin, Gary L. Legault, Yanshan Wang:
Adopting and expanding ethical principles for generative artificial intelligence from military to healthcare. npj Digit. Medicine 6 (2023) - [j39]Liyan Tang, Zhaoyi Sun, Betina Ross S. Idnay, Jordan G. Nestor, Ali Soroush, Pierre A. Elias, Ziyang Xu, Ying Ding, Greg Durrett, Justin F. Rousseau, Chunhua Weng, Yifan Peng:
Evaluating large language models on medical evidence summarization. npj Digit. Medicine 6 (2023) - [j38]Yan Han, Gregory Holste, Ying Ding, Ahmed H. Tewfik, Yifan Peng, Zhangyang Wang:
Radiomics-Guided Global-Local Transformer for Weakly Supervised Pathology Localization in Chest X-Rays. IEEE Trans. Medical Imaging 42(3): 750-761 (2023) - [j37]Christoph Ebner, Peter Mohr, Tobias Langlotz, Yifan Peng, Dieter Schmalstieg, Gordon Wetzstein, Denis Kalkofen:
Off-Axis Layered Displays: Hybrid Direct-View/Near-Eye Mixed Reality with Focus Cues. IEEE Trans. Vis. Comput. Graph. 29(5): 2816-2825 (2023) - [c88]Brian Yan, Jiatong Shi, Yun Tang, Hirofumi Inaguma, Yifan Peng, Siddharth Dalmia, Peter Polak, Patrick Fernandes, Dan Berrebbi, Tomoki Hayashi, Xiaohui Zhang, Zhaoheng Ni, Moto Hira, Soumi Maiti, Juan Pino, Shinji Watanabe:
ESPnet-ST-v2: Multipurpose Spoken Language Translation Toolkit. ACL (demo) 2023: 400-411 - [c87]Liyan Tang, Yifan Peng, Yanshan Wang, Ying Ding, Greg Durrett, Justin F. Rousseau:
Less Likely Brainstorming: Using Language Models to Generate Alternative Hypotheses. ACL (Findings) 2023: 12532-12555 - [c86]William Chen, Jiatong Shi, Brian Yan, Dan Berrebbi, Wangyou Zhang, Yifan Peng, Xuankai Chang, Soumi Maiti, Shinji Watanabe:
Joint Prediction and Denoising for Large-Scale Multilingual Self-Supervised Learning. ASRU 2023: 1-8 - [c85]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, Muhammad Shakeel, Jee-Weon Jung, Soumi Maiti, Shinji Watanabe:
Reproducing Whisper-Style Training Using An Open-Source Toolkit And Publicly Available Data. ASRU 2023: 1-8 - [c84]Siddhant Arora, Hayato Futami, Shih-Lun Wu, Jessica Huynh, Yifan Peng, Yosuke Kashiwagi, Emiru Tsunoo, Brian Yan, Shinji Watanabe:
A Study on the Integration of Pipeline and E2E SLU Systems for Spoken Semantic Parsing Toward Stop Quality Challenge. ICASSP 2023: 1-2 - [c83]William Chen, Brian Yan, Jiatong Shi, Yifan Peng, Soumi Maiti, Shinji Watanabe:
Improving Massively Multilingual ASR with Auxiliary CTC Objectives. ICASSP 2023: 1-5 - [c82]Hayato Futami, Jessica Huynh, Siddhant Arora, Shih-Lun Wu, Yosuke Kashiwagi, Yifan Peng, Brian Yan, Emiru Tsunoo, Shinji Watanabe:
The Pipeline System of ASR and NLU with MLM-based data Augmentation Toward Stop Low-Resource Challenge. ICASSP 2023: 1-2 - [c81]Yosuke Kashiwagi, Siddhant Arora, Hayato Futami, Jessica Huynh, Shih-Lun Wu, Yifan Peng, Brian Yan, Emiru Tsunoo, Shinji Watanabe:
E-Branchformer-Based E2E SLU Toward Stop on-Device Challenge. ICASSP 2023: 1-2 - [c80]Soumi Maiti, Yifan Peng, Takaaki Saeki, Shinji Watanabe:
Speechlmscore: Evaluating Speech Generation Using Speech Language Model. ICASSP 2023: 1-5 - [c79]Yifan Peng, Kwangyoun Kim, Felix Wu, Prashant Sridhar, Shinji Watanabe:
Structured Pruning of Self-Supervised Pre-Trained Models for Speech Recognition and Understanding. ICASSP 2023: 1-5 - [c78]Yifan Peng, Jaesong Lee, Shinji Watanabe:
I3D: Transformer Architectures with Input-Dependent Dynamic Depth for Speech Recognition. ICASSP 2023: 1-5 - [c77]Xiaoyang Lyu, Peng Dai, Zizhang Li, Dongyu Yan, Yi Lin, Yifan Peng, Xiaojuan Qi:
Learning A Room with the Occ-SDF Hybrid: Signed Distance Function Mingled with Occupancy Aids Scene Representation. ICCV 2023: 8906-8916 - [c76]Tingyi Wanyan, Mingquan Lin, Ying Ding, Benjamin S. Glicksberg, Fei Wang, Yifan Peng:
Optimizing Embedding Space with Sub-categorical Supervised Pre-training: A Theoretical Approach Towards Improving Sepsis Prediction. ICHI 2023: 101-110 - [c75]Leilei Su, Zezheng Wang, Yifan Peng, Cong Sun:
Identification of Offensive Language in Social Media Using Prompt Learning. ICHI 2023: 690-691 - [c74]Yifan Peng, Yui Sudo, Muhammad Shakeel, Shinji Watanabe:
DPHuBERT: Joint Distillation and Pruning of Self-Supervised Speech Models. INTERSPEECH 2023: 62-66 - [c73]Yosuke Kashiwagi, Siddhant Arora, Hayato Futami, Jessica Huynh, Shih-Lun Wu, Yifan Peng, Brian Yan, Emiru Tsunoo, Shinji Watanabe:
Tensor decomposition for minimization of E2E SLU model toward on-device processing. INTERSPEECH 2023: 710-714 - [c72]Yifan Peng, Kwangyoun Kim, Felix Wu, Brian Yan, Siddhant Arora, William Chen, Jiyang Tang, Suwon Shon, Prashant Sridhar, Shinji Watanabe:
A Comparative Study on E-Branchformer vs Conformer in Speech Recognition, Translation, and Understanding Tasks. INTERSPEECH 2023: 2208-2212 - [c71]William Chen, Xuankai Chang, Yifan Peng, Zhaoheng Ni, Soumi Maiti, Shinji Watanabe:
Reducing Barriers to Self-Supervised Learning: HuBERT Pre-training with Academic Compute. INTERSPEECH 2023: 4404-4408 - [c70]Yui Sudo, Muhammad Shakeel, Yifan Peng, Shinji Watanabe:
Time-synchronous one-pass Beam Search for Parallel Online and Offline Transducers with Dynamic Block Training. INTERSPEECH 2023: 4479-4483 - [c69]Gerd Bruder, Anne-Hélène Olivier, Andrew Cunningham, Yifan (Evan) Peng, Jens Grubert, Ian Williams:
Message from the ISMAR 2023 Science and Technology Conference Program Chairs. ISMAR 2023: xiii - [c68]Brian Yan, Jiatong Shi, Soumi Maiti, William Chen, Xinjian Li, Yifan Peng, Siddhant Arora, Shinji Watanabe:
CMU's IWSLT 2023 Simultaneous Speech Translation System. IWSLT@ACL 2023: 235-240 - [c67]Qingqing Zhu, Tejas Sudharshan Mathai, Pritam Mukherjee, Yifan Peng, Ronald M. Summers, Zhiyong Lu:
Utilizing Longitudinal Chest X-Rays and Reports to Pre-fill Radiology Reports. MICCAI (5) 2023: 189-198 - [c66]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, Ronald M. Summers, George Shih, Yifan Peng, Zhangyang Wang:
How Does Pruning Impact Long-Tailed Multi-label Medical Image Classifiers? MICCAI (5) 2023: 663-673 - [c65]Hao Liu, Yifan Peng, Chunhua Weng:
How Good Is ChatGPT for Medication Evidence Synthesis? MIE 2023: 1062-1066 - [c64]Zhizhen Wu, Chenyu Zuo, Yuchi Huo, Yazhen Yuan, Yifan Peng, Guiyang Pu, Rui Wang, Hujun Bao:
Adaptive Recurrent Frame Prediction with Learnable Motion Vectors. SIGGRAPH Asia 2023: 10:1-10:11 - [c63]Ajay Jaiswal, Tianlong Chen, Justin F. Rousseau, Yifan Peng, Ying Ding, Zhangyang Wang:
Attend Who is Weak: Pruning-assisted Medical Image Localization under Sophisticated and Implicit Imbalances. WACV 2023: 4976-4985 - [e2]Gerd Bruder, Anne-Hélène Olivier, Andrew Cunningham, Yifan (Evan) Peng, Jens Grubert, Ian Williams:
IEEE International Symposium on Mixed and Augmented Reality, ISMAR 2023, Sydney, Australia, October 16-20, 2023. IEEE 2023, ISBN 979-8-3503-2838-7 [contents] - [e1]Gerd Bruder, Anne-Hélène Olivier, Andrew Cunningham, Yifan (Evan) Peng, Jens Grubert, Ian Williams:
IEEE International Symposium on Mixed and Augmented Reality Adjunct, ISMAR 2023, Sydney, Australia, October 16-20, 2023. IEEE 2023, ISBN 979-8-3503-2891-2 [contents] - [i78]Mingquan Lin, Yuyun Xiao, Bo-Jian Hou, Tingyi Wanyan, Mohit Manoj Sharma, Zhangyang Wang, Fei Wang, Sarah Van Tassel, Yifan Peng:
Evaluate underdiagnosis and overdiagnosis bias of deep learning model on primary open-angle glaucoma diagnosis in under-served patient populations. CoRR abs/2301.11315 (2023) - [i77]William Chen, Brian Yan, Jiatong Shi, Yifan Peng, Soumi Maiti, Shinji Watanabe:
Improving Massively Multilingual ASR With Auxiliary CTC Objectives. CoRR abs/2302.12829 (2023) - [i76]Yifan Peng, Kwangyoun Kim, Felix Wu, Prashant Sridhar, Shinji Watanabe:
Structured Pruning of Self-Supervised Pre-trained Models for Speech Recognition and Understanding. CoRR abs/2302.14132 (2023) - [i75]Yifan Peng, Jaesong Lee, Shinji Watanabe:
I3D: Transformer architectures with input-dependent dynamic depth for speech recognition. CoRR abs/2303.07624 (2023) - [i74]Qianqian Xie, Jiayu Zhou, Yifan Peng, Fei Wang:
FactReranker: Fact-guided Reranker for Faithful Radiology Report Summarization. CoRR abs/2303.08335 (2023) - [i73]Xiaoyang Lyu, Peng Dai, Zizhang Li, Dongyu Yan, Yi Lin, Yifan Peng, Xiaojuan Qi:
Learning a Room with the Occ-SDF Hybrid: Signed Distance Function Mingled with Occupancy Aids Scene Representation. CoRR abs/2303.09152 (2023) - [i72]Yifan Peng, Yian Chen, E. Miles Stoudenmire, Yuehaw Khoo:
Generative Modeling via Hierarchical Tensor Sketching. CoRR abs/2304.05305 (2023) - [i71]Hayato Futami, Jessica Huynh, Siddhant Arora, Shih-Lun Wu, Yosuke Kashiwagi, Yifan Peng, Brian Yan, Emiru Tsunoo, Shinji Watanabe:
The Pipeline System of ASR and NLU with MLM-based Data Augmentation toward STOP Low-resource Challenge. CoRR abs/2305.01194 (2023) - [i70]Siddhant Arora, Hayato Futami, Shih-Lun Wu, Jessica Huynh, Yifan Peng, Yosuke Kashiwagi, Emiru Tsunoo, Brian Yan, Shinji Watanabe:
A Study on the Integration of Pipeline and E2E SLU systems for Spoken Semantic Parsing toward STOP Quality Challenge. CoRR abs/2305.01620 (2023) - [i69]Yifan Peng, Kwangyoun Kim, Felix Wu, Brian Yan, Siddhant Arora, William Chen, Jiyang Tang, Suwon Shon, Prashant Sridhar, Shinji Watanabe:
A Comparative Study on E-Branchformer vs Conformer in Speech Recognition, Translation, and Understanding Tasks. CoRR abs/2305.11073 (2023) - [i68]Yifan Peng, Yui Sudo, Muhammad Shakeel, Shinji Watanabe:
DPHuBERT: Joint Distillation and Pruning of Self-Supervised Speech Models. CoRR abs/2305.17651 (2023) - [i67]Liyan Tang, Yifan Peng, Yanshan Wang, Ying Ding, Greg Durrett, Justin F. Rousseau:
Less Likely Brainstorming: Using Language Models to Generate Alternative Hypotheses. CoRR abs/2305.19339 (2023) - [i66]William Chen, Xuankai Chang, Yifan Peng, Zhaoheng Ni, Soumi Maiti, Shinji Watanabe:
Reducing Barriers to Self-Supervised Learning: HuBERT Pre-training with Academic Compute. CoRR abs/2306.06672 (2023) - [i65]Qingqing Zhu, Tejas Sudharshan Mathai, Pritam Mukherjee, Yifan Peng, Ronald M. Summers, Zhiyong Lu:
Utilizing Longitudinal Chest X-Rays and Reports to Pre-Fill Radiology Reports. CoRR abs/2306.08749 (2023) - [i64]Zhaoyi Sun, Mingquan Lin, Qingqing Zhu, Qianqian Xie, Fei Wang, Zhiyong Lu, Yifan Peng:
A scoping review on multimodal deep learning in biomedical images and texts. CoRR abs/2307.07362 (2023) - [i63]Mingquan Lin, Song Wang, Ying Ding, Lihui Zhao, Fei Wang, Yifan Peng:
An empirical study of using radiology reports and images to improve ICU mortality prediction. CoRR abs/2307.07513 (2023) - [i62]David Oniani, Jordan Hilsman, Yifan Peng, Ronald K. Poropatich, Jeremy C. Pamplin, Gary L. Legault, Yanshan Wang:
From Military to Healthcare: Adopting and Expanding Ethical Principles for Generative Artificial Intelligence. CoRR abs/2308.02448 (2023) - [i61]Haoju Leng, Ruining Deng, Shunxing Bao, Dazheng Fang, Bryan A. Millis, Yucheng Tang, Haichun Yang, Xiao Wang, Yifan Peng, Lipeng Wan, Yuankai Huo:
High-performance Data Management for Whole Slide Image Analysis in Digital Pathology. CoRR abs/2308.05784 (2023) - [i60]Leilei Su, Jian Chen, Yifan Peng, Cong Sun:
Demonstration-based learning for few-shot biomedical named entity recognition under machine reading comprehension. CoRR abs/2308.06454 (2023) - [i59]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, Ronald M. Summers, George Shih, Yifan Peng, Zhangyang Wang:
How Does Pruning Impact Long-Tailed Multi-Label Medical Image Classifiers? CoRR abs/2308.09180 (2023) - [i58]Soumi Maiti, Yifan Peng, Shukjae Choi, Jee-weon Jung, Xuankai Chang, Shinji Watanabe:
Voxtlm: unified decoder-only models for consolidating speech recognition/synthesis and speech/text continuation tasks. CoRR abs/2309.07937 (2023) - [i57]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, Bhiksha Ramakrishnan, Shady Shehata, Hung-yi Lee:
Dynamic-SUPERB: Towards A Dynamic, Collaborative, and Comprehensive Instruction-Tuning Benchmark for Speech. CoRR abs/2309.09510 (2023) - [i56]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, Muhammad Shakeel, Jee-weon Jung, Soumi Maiti, Shinji Watanabe:
Reproducing Whisper-Style Training Using an Open-Source Toolkit and Publicly Available Data. CoRR abs/2309.13876 (2023) - [i55]William Chen, Jiatong Shi, Brian Yan, Dan Berrebbi, Wangyou Zhang, Yifan Peng, Xuankai Chang, Soumi Maiti, Shinji Watanabe:
Joint Prediction and Denoising for Large-scale Multilingual Self-supervised Learning. CoRR abs/2309.15317 (2023) - [i54]Siddhant Arora, Hayato Futami, Jee-weon Jung, Yifan Peng, Roshan S. Sharma, Yosuke Kashiwagi, Emiru Tsunoo, Shinji Watanabe:
UniverSLU: Universal Spoken Language Understanding for Diverse Classification and Sequence Generation Tasks with a Single Network. CoRR abs/2310.02973 (2023) - [i53]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, Jongbin Ryu, Feng Hong, Arsh Verma, Yosuke Yamagishi, Changhyun Kim, Hyeryeong Seo, Myungjoo Kang, Leo Anthony Celi, Zhiyong Lu, Ronald M. Summers, George Shih, Zhangyang Wang, Yifan Peng:
Towards long-tailed, multi-label disease classification from chest X-ray: Overview of the CXR-LT challenge. CoRR abs/2310.16112 (2023) - [i52]Gongbo Zhang, Qiao Jin, Denis Jered McInerney, Yong Chen, Fei Wang, Curtis L. Cole, Qian Yang, Yanshan Wang, Bradley A. Malin, Mor Peleg, Byron C. Wallace, Zhiyong Lu, Chunhua Weng, Yifan Peng:
Leveraging Generative AI for Clinical Evidence Summarization Needs to Achieve Trustworthiness. CoRR abs/2311.11211 (2023) - 2022
- [j36]Wei Chen, Bingyun Qi, Xu Liu, Haifeng Li, Xiang Hao, Yifan Peng:
Temperature-Robust Learned Image Recovery for Shallow-Designed Imaging Systems. Adv. Intell. Syst. 4(10) (2022) - [j35]Pascal S. Brandt, Jennifer A. Pacheco, Prakash Adekkanattu, Evan Sholle, Sajjad Abedian, Daniel J. Stone, David Knaack, Jie Xu, Zhenxing Xu, Yifan Peng, Natalie C. Benda, Fei Wang, Yuan Luo, Guoqian Jiang, Jyotishman Pathak, Luke V. Rasmussen:
Design and validation of a FHIR-based EHR-driven phenotyping toolbox. J. Am. Medical Informatics Assoc. 29(9): 1449-1460 (2022) - [j34]Song Wang, Liyan Tang, Akash Majety, Justin F. Rousseau, George Shih, Ying Ding, Yifan Peng:
Trustworthy assertion classification through prompting. J. Biomed. Informatics 132: 104139 (2022) - [j33]Shuai Wang, Yingying Zhu, Sungwon Lee, Daniel C. Elton, Thomas C. Shen, Youbao Tang, Yifan Peng, Zhiyong Lu, Ronald M. Summers:
Global-Local attention network with multi-task uncertainty loss for abnormal lymph node detection in MR images. Medical Image Anal. 77: 102345 (2022) - [j32]Xuelun Shen, Cheng Wang, Xin Li, Yifan Peng, Zijian He, Chenglu Wen, Ming Cheng:
Learning scale awareness in keypoint extraction and description. Pattern Recognit. 121: 108221 (2022) - [j31]Xiaoshuang Shi, Yifan Peng, Qingyu Chen, Tiarnan D. Keenan, Alisa T. Thavikulwat, Sungwon Lee, Yuxing Tang, Emily Y. Chew, Ronald M. Summers, Zhiyong Lu:
Robust convolutional neural networks against adversarial attacks on medical images. Pattern Recognit. 132: 108923 (2022) - [j30]Rui Hou, 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:
Anomaly Detection of Calcifications in Mammography Based on 11, 000 Negative Cases. IEEE Trans. Biomed. Eng. 69(5): 1639-1650 (2022) - [j29]Christoph Ebner, Shohei Mori, Peter Mohr, Yifan Peng, Dieter Schmalstieg, Gordon Wetzstein, Denis Kalkofen:
Video See-Through Mixed Reality with Focus Cues. IEEE Trans. Vis. Comput. Graph. 28(5): 2256-2266 (2022) - [j28]Yunjin Zhang, Rui Wang, Yifan Peng, Wei Hua, Hujun Bao:
Color Contrast Enhanced Rendering for Optical See-Through Head-Mounted Displays. IEEE Trans. Vis. Comput. Graph. 28(12): 4490-4502 (2022) - [c62]Song Wang, Liyan Tang, Akash Majety, Justin F. Rousseau, George Shih, Ying Ding, Yifan Peng:
Prompt-based Learning for Assertion Classification in Clinical Notes. AMIA 2022 - [c61]Tingyi Wanyan, Mingquan Lin, Eyal Klang, Kartikeya M. Menon, Faris F. Gulamali, Ariful Azad, Yiye Zhang, Ying Ding, Zhangyang Wang, Fei Wang, Benjamin S. Glicksberg, Yifan Peng:
Supervised pretraining through contrastive categorical positive samplings to improve COVID-19 mortality prediction. BCB 2022: 9:1-9:9 - [c60]Liyan Tang, Shravan Kooragayalu, Yanshan Wang, Ying Ding, Greg Durrett, Justin F. Rousseau, Yifan Peng:
EchoGen: Generating Conclusions from Echocardiogram Notes. BioNLP@ACL 2022: 359-368 - [c59]Suzanna Schmeelk, Martins Samuel Dogo, Braja Gopal Patra, Yifan Peng:
Classifying Cyber-Risky Clinical Notes by Employing Natural Language Processing. HICSS 2022: 1-7 - [c58]Siddhant Arora, Siddharth Dalmia, Pavel Denisov, Xuankai Chang, Yushi Ueda, Yifan Peng, Yuekai Zhang, Sujay Kumar, Karthik Ganesan, Brian Yan, Ngoc Thang Vu, Alan W. Black, Shinji Watanabe:
ESPnet-SLU: Advancing Spoken Language Understanding Through ESPnet. ICASSP 2022: 7167-7171 - [c57]Ajay Jaiswal, Kumar Ashutosh, Justin F. Rousseau, Yifan Peng, Zhangyang Wang, Ying Ding:
RoS-KD: A Robust Stochastic Knowledge Distillation Approach for Noisy Medical Imaging. ICDM 2022: 981-986 - [c56]Song Wang, Mingquan Lin, Ying Ding, George Shih, Zhiyong Lu, Yifan Peng:
Radiology Text Analysis System (RadText): Architecture and Evaluation. ICHI 2022: 288-296 - [c55]Yifan Peng, Siddharth Dalmia, Ian R. Lane, Shinji Watanabe:
Branchformer: Parallel MLP-Attention Architectures to Capture Local and Global Context for Speech Recognition and Understanding. ICML 2022: 17627-17643 - [c54]Takashi Maekaku, Yuya Fujita, Yifan Peng, Shinji Watanabe:
Attention Weight Smoothing Using Prior Distributions for Transformer-Based End-to-End ASR. INTERSPEECH 2022: 1071-1075 - [c53]Brian Yan, Patrick Fernandes, Siddharth Dalmia, Jiatong Shi, Yifan Peng, Dan Berrebbi, Xinyi Wang, Graham Neubig, Shinji Watanabe:
CMU's IWSLT 2022 Dialect Speech Translation System. IWSLT@ACL 2022: 298-307 - [c52]Tejas Sudharshan Mathai, Sungwon Lee, Daniel C. Elton, Thomas C. Shen, Yifan Peng, Zhiyong Lu, Ronald M. Summers:
Lymph node detection in T2 MRI with transformers. Computer-Aided Diagnosis 2022 - [c51]Junghwan Lee, Tingyi Wanyan, Qingyu Chen, Tiarnan D. L. Keenan, Benjamin S. Glicksberg, Emily Y. Chew, Zhiyong Lu, Fei Wang, Yifan Peng:
Predicting Age-related Macular Degeneration Progression with Longitudinal Fundus Images Using Deep Learning. MLMI@MICCAI 2022: 11-20 - [c50]Gregory Holste, Song Wang, Ziyu Jiang, Thomas C. Shen, George Shih, Ronald M. Summers, Yifan Peng, Zhangyang Wang:
Long-Tailed Classification of Thorax Diseases on Chest X-Ray: A New Benchmark Study. DALI@MICCAI 2022: 22-32 - [c49]Dana Moukheiber, Saurabh Mahindre, Lama Moukheiber, Mira Moukheiber, Song Wang, Chunwei Ma, George Shih, Yifan Peng, Mingchen Gao:
Few-Shot Learning Geometric Ensemble for Multi-label Classification of Chest X-Rays. DALI@MICCAI 2022: 112-122 - [c48]Mingquan Lin, Lei Liu, Mae Gorden, Michael Kass, Sarah Van Tassel, Fei Wang, Yifan Peng:
Multi-scale Multi-structure Siamese Network (MMSNet) for Primary Open-Angle Glaucoma Prediction. MLMI@MICCAI 2022: 436-445 - [c47]Suyeon Choi, Manu Gopakumar, Yifan Peng, Jonghyun Kim, Matthew O'Toole, Gordon Wetzstein:
Time-multiplexed Neural Holography: A Flexible Framework for Holographic Near-eye Displays with Fast Heavily-quantized Spatial Light Modulators. SIGGRAPH (Conference Paper Track) 2022: 32:1-32:9 - [c46]Jonghyun Kim, Manu Gopakumar, Suyeon Choi, Yifan Peng, Ward Lopes, Gordon Wetzstein:
Holographic Glasses for Virtual Reality. SIGGRAPH (Conference Paper Track) 2022: 33:1-33:9 - [c45]Kwangyoun Kim, Felix Wu, Yifan Peng, Jing Pan, Prashant Sridhar, Kyu Jeong Han, Shinji Watanabe:
E-Branchformer: Branchformer with Enhanced Merging for Speech Recognition. SLT 2022: 84-91 - [c44]Yifan Peng, Siddhant Arora, Yosuke Higuchi, Yushi Ueda, Sujay Kumar, Karthik Ganesan, Siddharth Dalmia, Xuankai Chang, Shinji Watanabe:
A Study on the Integration of Pre-Trained SSL, ASR, LM and SLU Models for Spoken Language Understanding. SLT 2022: 406-413 - [c43]Yan Han, Chongyan Chen, Ahmed H. Tewfik, Benjamin S. Glicksberg, Ying Ding, Yifan Peng, Zhangyang Wang:
Knowledge-Augmented Contrastive Learning for Abnormality Classification and Localization in Chest X-rays with Radiomics using a Feedback Loop. WACV 2022: 1789-1798 - [i51]Song Wang, Liyan Tang, Mingquan Lin, George Shih, Ying Ding, Yifan Peng:
Prior Knowledge Enhances Radiology Report Generation. CoRR abs/2201.03761 (2022) - [i50]Suzanna Schmeelk, Martins Samuel Dogo, Yifan Peng, Braja Gopal Patra:
Classifying Cyber-Risky Clinical Notes by Employing Natural Language Processing. CoRR abs/2203.12781 (2022) - [i49]Song Wang, Mingquan Lin, Ying Ding, George Shih, Zhiyong Lu, Yifan Peng:
Radiology Text Analysis System (RadText): Architecture and Evaluation. CoRR abs/2204.09599 (2022) - [i48]Suyeon Choi, Manu Gopakumar, Yifan Peng, Jonghyun Kim, Matthew O'Toole, Gordon Wetzstein:
Time-multiplexed Neural Holography: A flexible framework for holographic near-eye displays with fast heavily-quantized spatial light modulators. CoRR abs/2205.02367 (2022) - [i47]Yifan Peng, Siddharth Dalmia, Ian R. Lane, Shinji Watanabe:
Branchformer: Parallel MLP-Attention Architectures to Capture Local and Global Context for Speech Recognition and Understanding. CoRR abs/2207.02971 (2022) - [i46]Yan Han, Gregory Holste, Ying Ding, Ahmed H. Tewfik, Yifan Peng, Zhangyang Wang:
Radiomics-Guided Global-Local Transformer for Weakly Supervised Pathology Localization in Chest X-Rays. CoRR abs/2207.04394 (2022) - [i45]Gregory Holste, Song Wang, Ziyu Jiang, Thomas C. Shen, George Shih, Ronald M. Summers, Yifan Peng, Zhangyang Wang:
Long-Tailed Classification of Thorax Diseases on Chest X-Ray: A New Benchmark Study. CoRR abs/2208.13365 (2022) - [i44]Kwangyoun Kim, Felix Wu, Yifan Peng, Jing Pan, Prashant Sridhar, Kyu Jeong Han, Shinji Watanabe:
E-Branchformer: Branchformer with Enhanced merging for speech recognition. CoRR abs/2210.00077 (2022) - [i43]Ajay Jaiswal, Kumar Ashutosh, Justin F. Rousseau, Yifan Peng, Zhangyang Wang, Ying Ding:
RoS-KD: A Robust Stochastic Knowledge Distillation Approach for Noisy Medical Imaging. CoRR abs/2210.08388 (2022) - [i42]Yifan Peng, Siddhant Arora, Yosuke Higuchi, Yushi Ueda, Sujay Kumar, Karthik Ganesan, Siddharth Dalmia, Xuankai Chang, Shinji Watanabe:
A Study on the Integration of Pre-trained SSL, ASR, LM and SLU Models for Spoken Language Understanding. CoRR abs/2211.05869 (2022) - [i41]Ajay Jaiswal, Tianlong Chen, Justin F. Rousseau, Yifan Peng, Ying Ding, Zhangyang Wang:
Attend Who is Weak: Pruning-assisted Medical Image Localization under Sophisticated and Implicit Imbalances. CoRR abs/2212.02675 (2022) - [i40]Zehao Yu, Xi Yang, 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, Yi Guo, Jiang Bian, Yonghui Wu:
SODA: A Natural Language Processing Package to Extract Social Determinants of Health for Cancer Studies. CoRR abs/2212.03000 (2022) - [i39]Soumi Maiti, Yifan Peng, Takaaki Saeki, Shinji Watanabe:
SpeechLMScore: Evaluating speech generation using speech language model. CoRR abs/2212.04559 (2022) - 2021
- [j27]Qingyu Chen, 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, Chantal Cousineau-Krieger, Wai T. Wong, Yingying Zhu, Emily Y. Chew, Zhiyong Lu:
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. 28(6): 1135-1148 (2021) - [j26]Yifan Peng, Yuxing Tang, Sungwon Lee, Yingying Zhu, Ronald M. Summers, Zhiyong Lu:
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 7(1): 3-12 (2021) - [j25]Angshuman Paul, Thomas C. Shen, Sungwon Lee, Niranjan Balachandar, Yifan Peng, Zhiyong Lu, Ronald M. Summers:
Generalized Zero-Shot Chest X-Ray Diagnosis Through Trait-Guided Multi-View Semantic Embedding With Self-Training. IEEE Trans. Medical Imaging 40(10): 2642-2655 (2021) - [j24]Ethan Tseng, Ali Mosleh, Fahim Mannan, Karl St. Arnaud, Avinash Sharma, Yifan Peng, Alexander Braun, Derek Nowrouzezahrai, Jean-François Lalonde, Felix Heide:
Differentiable Compound Optics and Processing Pipeline Optimization for End-to-end Camera Design. ACM Trans. Graph. 40(2): 18:1-18:19 (2021) - [j23]Suyeon Choi, Manu Gopakumar, Yifan Peng, Jonghyun Kim, Gordon Wetzstein:
Neural 3D holography: learning accurate wave propagation models for 3D holographic virtual and augmented reality displays. ACM Trans. Graph. 40(6): 240:1-240:12 (2021) - [c42]Gregory C. Ghahramani, Matthew Brendel, Mingquan Lin, Qingyu Chen, Tiarnan D. Keenan, Kun Chen, Emily Y. Chew, Zhiyong Lu, Yifan Peng, Fei Wang:
Multi-task deep learning-based survival analysis on the prognosis of late AMD using the longitudinal data in AREDS. AMIA 2021 - [c41]Yan Han, Chongyan Chen, Liyan Tang, Mingquan Lin, Ajay Jaiswal, Song Wang, Ahmed H. Tewfik, George Shih, Ying Ding, Yifan Peng:
Using Radiomics as Prior Knowledge for Thorax Disease Classification and Localization in Chest X-rays. AMIA 2021 - [c40]Peng Su, Yifan Peng, K. Vijay-Shanker:
Improving BERT Model Using Contrastive Learning for Biomedical Relation Extraction. BioNLP@NAACL-HLT 2021: 1-10 - [c39]Hayato Ikoma, Cindy M. Nguyen, Christopher A. Metzler, Yifan Peng, Gordon Wetzstein:
Depth from Defocus with Learned Optics for Imaging and Occlusion-aware Depth Estimation. ICCP 2021: 1-12 - [c38]Ajay Jaiswal, Tianhao Li, Cyprian Zander, Yan Han, Justin F. Rousseau, Yifan Peng, Ying Ding:
SCALP - Supervised Contrastive Learning for Cardiopulmonary Disease Classification and Localization in Chest X-rays using Patient Metadata. ICDM 2021: 1132-1137 - [c37]Mingquan Lin, Song Wang, Ying Ding, Lihui Zhao, Fei Wang, Yifan Peng:
An empirical study of using radiology reports and images to improve ICU-mortality prediction. ICHI 2021: 497-498 - [c36]Yan Han, Chongyan Chen, Ahmed H. Tewfik, Ying Ding, Yifan Peng:
Pneumonia Detection On Chest X-Ray Using Radiomic Features And Contrastive Learning. ISBI 2021: 247-251 - [c35]Angshuman Paul, Thomas C. Shen, Yifan Peng, Zhiyong Lu, Ronald M. Summers:
Learning Few-Shot Chest X-Ray Diagnosis Using Images From The Published Scientific Literature. ISBI 2021: 344-348 - [c34]Zhanghexuan Ji, Mohammad Abuzar Shaikh, Dana Moukheiber, Sargur N. Srihari, Yifan Peng, Mingchen Gao:
Improving Joint Learning of Chest X-Ray and Radiology Report by Word Region Alignment. MLMI@MICCAI 2021: 110-119 - [c33]Tejas Sudharshan Mathai, Sungwon Lee, Daniel C. Elton, Thomas C. Shen, Yifan Peng, Zhiyong Lu, Ronald M. Summers:
Detection of Lymph Nodes in T2 MRI Using Neural Network Ensembles. MLMI@MICCAI 2021: 682-691 - [c32]Ajay Jaiswal, Liyan Tang, Meheli Ghosh, Justin F. Rousseau, Yifan Peng, Ying Ding:
RadBERT-CL: Factually-Aware Contrastive Learning For Radiology Report Classification. ML4H@NeurIPS 2021: 196-208 - [c31]Hyun Gi Lee, Evan Sholle, Ashley Beecy, Subhi J. Al'Aref, Yifan Peng:
Leveraging Deep Representations of Radiology Reports in Survival Analysis for Predicting Heart Failure Patient Mortality. NAACL-HLT 2021: 4533-4538 - [i38]Yunjin Zhang, Rui Wang, Yifan Peng, Wei Hua, Hujun Bao:
Color Contrast Enhanced Rendering for Optical See-through Head-mounted Displays. CoRR abs/2101.02847 (2021) - [i37]Yan Han, Chongyan Chen, Ahmed H. Tewfik, Ying Ding, Yifan Peng:
Pneumonia Detection on Chest X-ray using Radiomic Features and Contrastive Learning. CoRR abs/2101.04269 (2021) - [i36]Yan Han, Chongyan Chen, Ahmed H. Tewfik, Benjamin S. Glicksberg, Ying Ding, Yifan Peng, Zhangyang Wang:
Cross-Modal Contrastive Learning for Abnormality Classification and Localization in Chest X-rays with Radiomics using a Feedback Loop. CoRR abs/2104.04968 (2021) - [i35]Peng Su, Yifan Peng, K. Vijay-Shanker:
Improving BERT Model Using Contrastive Learning for Biomedical Relation Extraction. CoRR abs/2104.13913 (2021) - [i34]Hyun Gi Lee, Evan Sholle, Ashley Beecy, Subhi J. Al'Aref, Yifan Peng:
Leveraging Deep Representations of Radiology Reports in Survival Analysis for Predicting Heart Failure Patient Mortality. CoRR abs/2105.01009 (2021) - [i33]Yitao Shen, Yue Wang, Xingyu Lu, Feng Qi, Jia Yan, Yixiang Mu, Yao Yang, Yifan Peng, Jinjie Gu:
A framework for massive scale personalized promotion. CoRR abs/2108.12100 (2021) - [i32]Zhanghexuan Ji, Mohammad Abuzar Shaikh, Dana Moukheiber, Sargur N. Srihari, Yifan Peng, Mingchen Gao:
Improving Joint Learning of Chest X-Ray and Radiology Report by Word Region Alignment. CoRR abs/2109.01949 (2021) - [i31]Ajay Jaiswal, Tianhao Li, Cyprian Zander, Yan Han, Justin F. Rousseau, Yifan Peng, Ying Ding:
SCALP - Supervised Contrastive Learning for Cardiopulmonary Disease Classification and Localization in Chest X-rays using Patient Metadata. CoRR abs/2110.14787 (2021) - [i30]Ajay Jaiswal, Liyan Tang, Meheli Ghosh, Justin F. Rousseau, Yifan Peng, Ying Ding:
RadBERT-CL: Factually-Aware Contrastive Learning For Radiology Report Classification. CoRR abs/2110.15426 (2021) - [i29]Tejas Sudharshan Mathai, Sungwon Lee, Daniel C. Elton, Thomas C. Shen, Yifan Peng, Zhiyong Lu, Ronald M. Summers:
Lymph Node Detection in T2 MRI with Transformers. CoRR abs/2111.04885 (2021) - [i28]Siddhant Arora, Siddharth Dalmia, Pavel Denisov, Xuankai Chang, Yushi Ueda, Yifan Peng, Yuekai Zhang, Sujay Kumar, Karthik Ganesan, Brian Yan, Ngoc Thang Vu, Alan W. Black, Shinji Watanabe:
ESPnet-SLU: Advancing Spoken Language Understanding through ESPnet. CoRR abs/2111.14706 (2021) - [i27]Mehmet Efruz Karabulut, K. Vijay-Shanker, Yifan Peng:
CU-UD: text-mining drug and chemical-protein interactions with ensembles of BERT-based models. CoRR abs/2112.03004 (2021) - 2020
- [j22]Yifan Peng, Tiarnan D. Keenan, Qingyu Chen, Elvira Agrón, Alexis Allot, Wai T. Wong, Emily Y. Chew, Zhiyong Lu:
Predicting risk of late age-related macular degeneration using deep learning. npj Digit. Medicine 3 (2020) - [j21]Yuxing Tang, Youbao Tang, Yifan Peng, Ke Yan, Mohammadhadi Bagheri, Bernadette A. Redd, Catherine J. Brandon, Zhiyong Lu, Mei Han, Jing Xiao, Ronald M. Summers:
Automated abnormality classification of chest radiographs using deep convolutional neural networks. npj Digit. Medicine 3 (2020) - [j20]Qilin Sun, Jian Zhang, Xiong Dun, Bernard Ghanem, Yifan Peng, Wolfgang Heidrich:
End-to-end Learned, Optically Coded Super-resolution SPAD Camera. ACM Trans. Graph. 39(2): 9:1-9:14 (2020) - [j19]Yifan Peng, Suyeon Choi, Nitish Padmanaban, Gordon Wetzstein:
Neural holography with camera-in-the-loop training. ACM Trans. Graph. 39(6): 185:1-185:14 (2020) - [c30]Yifan Peng, Sungwon Lee, Daniel C. Elton, Thomas C. Shen, Yuxing Tang, Qingyu Chen, Shuai Wang, Yingying Zhu, Ronald M. Summers, Zhiyong Lu:
Automatic recognition of abdominal lymph nodes from clinical text. ClinicalNLP@EMNLP 2020: 101-110 - [c29]Gordon Wetzstein, Hayato Ikoma, Christopher A. Metzler, Yifan Peng:
Deep Optics: Learning Cameras and Optical Computing Systems. ACSSC 2020: 1313-1315 - [c28]Qingyu Chen, Tiarnan D. Keenan, Yifan Peng, Elvira Agrón, Christopher Hwang, Alisa T. Thavikulwat, Debora Lee, Wai T. Wong, Emily Y. Chew, Zhiyong Lu:
Detection of reticular pseudodrusen using deep learning. AMIA 2020 - [c27]Yifan Peng, Qingyu Chen, Zhiyong Lu:
An Empirical Study of Multi-Task Learning on BERT for Biomedical Text Mining. BioNLP 2020: 205-214 - [c26]Christopher A. Metzler, Hayato Ikoma, Yifan Peng, Gordon Wetzstein:
Deep Optics for Single-Shot High-Dynamic-Range Imaging. CVPR 2020: 1372-1382 - [c25]Yifan Peng, Rui Hou, Yinhao Ren, Lars J. Grimm, Jeffrey R. Marks, Eun-Sil Shelley Hwang, Joseph Y. Lo:
Microcalcification localization and cluster detection using unsupervised convolutional autoencoders and structural similarity index. Computer-Aided Diagnosis 2020 - [c24]Angshuman Paul, Thomas C. Shen, Niranjan Balachandar, Yuxing Tang, Yifan Peng, Zhiyong Lu, Ronald M. Summers:
COMe-SEE: Cross-modality Semantic Embedding Ensemble for Generalized Zero-Shot Diagnosis of Chest Radiographs. iMIMIC/MIL3ID/LABELS@MICCAI 2020: 103-111 - [c23]Yifan (Evan) Peng, Ashok Veeraraghavan, Wolfgang Heidrich, Gordon Wetzstein:
Deep optics: joint design of optics and image recovery algorithms for domain specific cameras. SIGGRAPH Courses 2020: 7:1-7:133 - [c22]Yifan Peng, Suyeon Choi, Nitish Padmanaban, Jonghyun Kim, Gordon Wetzstein:
Neural Holography. SIGGRAPH Emerging Technologies 2020: 8:1-8:2 - [i26]Yifan Peng, Qingyu Chen, Zhiyong Lu:
An Empirical Study of Multi-Task Learning on BERT for Biomedical Text Mining. CoRR abs/2005.02799 (2020) - [i25]Yifan Peng, Yuxing Tang, Sungwon Lee, Yingying Zhu, Ronald M. Summers, Zhiyong Lu:
COVID-19-CT-CXR: a freely accessible and weakly labeled chest X-ray and CT image collection on COVID-19 from biomedical literature. CoRR abs/2006.06177 (2020) - [i24]Xing He, Rui Zhang, Jordan Alpert, Sicheng Zhou, Terrence J. Adam, Aantaki Raisa, Yifan Peng, Hansi Zhang, Jiang Bian:
When text simplification is not enough: could a graph-based visualization facilitate consumers' comprehension of dietary supplement information? CoRR abs/2007.02333 (2020) - [i23]Yifan Peng, Tiarnan D. Keenan, Qingyu Chen, Elvira Agrón, Alexis Allot, Wai T. Wong, Emily Y. Chew, Zhiyong Lu:
Predicting risk of late age-related macular degeneration using deep learning. CoRR abs/2007.09550 (2020) - [i22]Lana Yeganova, Rezarta Islamaj Dogan, Qingyu Chen, Robert Leaman, Alexis Allot, Chih-Hsuan Wei, Donald C. Comeau, Won Kim, Yifan Peng, W. John Wilbur, Zhiyong Lu:
Navigating the landscape of COVID-19 research through literature analysis: A bird's eye view. CoRR abs/2008.03397 (2020) - [i21]Suyeon Choi, Jonghyun Kim, Yifan Peng, Gordon Wetzstein:
Michelson Holography: Dual-SLM Holography with Camera-in-the-loop Optimization. CoRR abs/2009.09302 (2020) - [i20]Yifan Peng, Lin Lin, Lexing Ying, Leonardo Zepeda-Núñez:
Efficient Long-Range Convolutions for Point Clouds. CoRR abs/2010.05295 (2020) - [i19]Qingyu Chen, 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, Chantal Cousineau-Krieger, Wai T. Wong, Yingying Zhu, Emily Y. Chew, Zhiyong Lu:
Multi-modal, multi-task, multi-attention (M3) deep learning detection of reticular pseudodrusen: towards automated and accessible classification of age-related macular degeneration. CoRR abs/2011.05142 (2020) - [i18]Yan Han, Chongyan Chen, Liyan Tang, Mingquan Lin, Ajay Jaiswal, Ying Ding, Yifan Peng:
Using Radiomics as Prior Knowledge for Abnormality Classification and Localization in Chest X-rays. CoRR abs/2011.12506 (2020)
2010 – 2019
- 2019
- [j18]Jingcheng Du, Qingyu Chen, Yifan Peng, Yang Xiang, Cui Tao, Zhiyong Lu:
ML-Net: multi-label classification of biomedical texts with deep neural networks. J. Am. Medical Informatics Assoc. 26(11): 1279-1285 (2019) - [j17]Praneeth Chakravarthula, Yifan Peng, Joel S. Kollin, Henry Fuchs, Felix Heide:
Wirtinger holography for near-eye displays. ACM Trans. Graph. 38(6): 213:1-213:13 (2019) - [j16]Nitish Padmanaban, Yifan Peng, Gordon Wetzstein:
Holographic near-eye displays based on overlap-add stereograms. ACM Trans. Graph. 38(6): 214:1-214:13 (2019) - [j15]Yifan Peng, Qilin Sun, Xiong Dun, Gordon Wetzstein, Wolfgang Heidrich, Felix Heide:
Learned large field-of-view imaging with thin-plate optics. ACM Trans. Graph. 38(6): 219:1-219:14 (2019) - [c21]Yifan Peng, Tiarnan D. Keenan, Qingyu Chen, Elvira Agrón, Wai T. Wong, Emily Y. Chew, Zhiyong Lu:
A deep learning-based survival model for prediction of progression in late Age-related Macular Degeneration (AMD) from color fundus photographs. AMIA 2019 - [c20]Yifan Peng, Shankai Yan, Zhiyong Lu:
Transfer Learning in Biomedical Natural Language Processing: An Evaluation of BERT and ELMo on Ten Benchmarking Datasets. BioNLP@ACL 2019: 58-65 - [c19]Ke Yan, Yifan Peng, Veit Sandfort, Mohammadhadi Bagheri, Zhiyong Lu, Ronald M. Summers:
Holistic and Comprehensive Annotation of Clinically Significant Findings on Diverse CT Images: Learning From Radiology Reports and Label Ontology. CVPR 2019: 8523-8532 - [c18]Qingyu Chen, Yifan Peng, Zhiyong Lu:
BioSentVec: creating sentence embeddings for biomedical texts. ICHI 2019: 1-5 - [c17]Yifan Peng, Ke Yan, Veit Sandfort, Ronald M. Summers, Zhiyong Lu:
A self-attention based deep learning method for lesion attribute detection from CT reports. ICHI 2019: 1-5 - [c16]Ke Yan, Yifan Peng, Zhiyong Lu, Ronald M. Summers:
Fine-Grained Lesion Annotation in CT Images With Knowledge Mined From Radiology Reports. ISBI 2019: 285-288 - [c15]Ke Yan, Youbao Tang, Yifan Peng, Veit Sandfort, Mohammadhadi Bagheri, Zhiyong Lu, Ronald M. Summers:
MULAN: Multitask Universal Lesion Analysis Network for Joint Lesion Detection, Tagging, and Segmentation. MICCAI (6) 2019: 194-202 - [p2]Xiaosong Wang, Yifan Peng, Le Lu, Zhiyong Lu, Mohammadhadi Bagheri, Ronald M. Summers:
ChestX-ray: Hospital-Scale Chest X-ray Database and Benchmarks on Weakly Supervised Classification and Localization of Common Thorax Diseases. Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics 2019: 369-392 - [p1]Xiaosong Wang, Yifan Peng, Le Lu, Zhiyong Lu, Ronald M. Summers:
Automatic Classification and Reporting of Multiple Common Thorax Diseases Using Chest Radiographs. Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics 2019: 393-412 - [i17]Ke Yan, Yifan Peng, Zhiyong Lu, Ronald M. Summers:
Fine-grained lesion annotation in CT images with knowledge mined from radiology reports. CoRR abs/1903.01505 (2019) - [i16]Ke Yan, Yifan Peng, Veit Sandfort, Mohammadhadi Bagheri, Zhiyong Lu, Ronald M. Summers:
Holistic and Comprehensive Annotation of Clinically Significant Findings on Diverse CT Images: Learning from Radiology Reports and Label Ontology. CoRR abs/1904.04661 (2019) - [i15]Yifan Peng, Ke Yan, Veit Sandfort, Ronald M. Summers, Zhiyong Lu:
A self-attention based deep learning method for lesion attribute detection from CT reports. CoRR abs/1904.13018 (2019) - [i14]Tiarnan D. Keenan, Shazia Dharssi, Yifan Peng, Qingyu Chen, Elvira Agrón, Wai T. Wong, Zhiyong Lu, Emily Y. Chew:
A deep learning approach for automated detection of geographic atrophy from color fundus photographs. CoRR abs/1906.03153 (2019) - [i13]Yifan Peng, Shankai Yan, Zhiyong Lu:
Transfer Learning in Biomedical Natural Language Processing: An Evaluation of BERT and ELMo on Ten Benchmarking Datasets. CoRR abs/1906.05474 (2019) - [i12]Christopher A. Metzler, Hayato Ikoma, Yifan Peng, Gordon Wetzstein:
Deep Optics for Single-shot High-dynamic-range Imaging. CoRR abs/1908.00620 (2019) - [i11]Ke Yan, Youbao Tang, Yifan Peng, Veit Sandfort, Mohammadhadi Bagheri, Zhiyong Lu, Ronald M. Summers:
MULAN: Multitask Universal Lesion Analysis Network for Joint Lesion Detection, Tagging, and Segmentation. CoRR abs/1908.04373 (2019) - 2018
- [j14]Yifan Peng, Anthony Rios, Ramakanth Kavuluru, Zhiyong Lu:
Extracting chemical-protein relations with ensembles of SVM and deep learning models. Database J. Biol. Databases Curation 2018: bay073 (2018) - [j13]Alexis Allot, Yifan Peng, Chih-Hsuan Wei, Kyubum Lee, Lon Phan, Zhiyong Lu:
LitVar: a semantic search engine for linking genomic variant data in PubMed and PMC. Nucleic Acids Res. 46(Webserver-Issue): W530-W536 (2018) - [j12]Vincent Sitzmann, Steven Diamond, Yifan Peng, Xiong Dun, Stephen P. Boyd, Wolfgang Heidrich, Felix Heide, Gordon Wetzstein:
End-to-end optimization of optics and image processing for achromatic extended depth of field and super-resolution imaging. ACM Trans. Graph. 37(4): 114 (2018) - [c14]Qilin Sun, Xiong Dun, Yifan Peng, Wolfgang Heidrich:
Depth and Transient Imaging With Compressive SPAD Array Cameras. CVPR 2018: 273-282 - [c13]Xiaosong Wang, Yifan Peng, Le Lu, Zhiyong Lu, Ronald M. Summers:
TieNet: Text-Image Embedding Network for Common Thorax Disease Classification and Reporting in Chest X-Rays. CVPR 2018: 9049-9058 - [c12]Yifan Peng, Xiong Dun, Qilin Sun, Felix Heide, Wolfgang Heidrich:
Focal sweep imaging with multi-focal diffractive optics. ICCP 2018: 1-8 - [i10]Xiaosong Wang, Yifan Peng, Le Lu, Zhiyong Lu, Ronald M. Summers:
TieNet: Text-Image Embedding Network for Common Thorax Disease Classification and Reporting in Chest X-rays. CoRR abs/1801.04334 (2018) - [i9]Yifan Peng, Anthony Rios, Ramakanth Kavuluru, Zhiyong Lu:
Chemical-protein relation extraction with ensembles of SVM, CNN, and RNN models. CoRR abs/1802.01255 (2018) - [i8]Xiaoran Wang, Yifan Peng, Benwen Zhang:
Comment Generation for Source Code: State of the Art, Challenges and Opportunities. CoRR abs/1802.02971 (2018) - [i7]Qingyu Chen, Yifan Peng, Zhiyong Lu:
BioSentVec: creating sentence embeddings for biomedical texts. CoRR abs/1810.09302 (2018) - [i6]Jingcheng Du, Qingyu Chen, Yifan Peng, Yang Xiang, Cui Tao, Zhiyong Lu:
ML-Net: multi-label classification of biomedical texts with deep neural networks. CoRR abs/1811.05475 (2018) - [i5]Yifan Peng, Shazia Dharssi, Qingyu Chen, Tiarnan D. Keenan, Elvira Agrón, Wai T. Wong, Emily Y. Chew, Zhiyong Lu:
DeepSeeNet: A deep learning model for automated classification of patient-based age-related macular degeneration severity from color fundus photographs. CoRR abs/1811.07492 (2018) - [i4]Qingyu Chen, Yifan Peng, Tiarnan D. Keenan, Shazia Dharssi, Elvira Agrón, Wai T. Wong, Emily Y. Chew, Zhiyong Lu:
A multi-task deep learning model for the classification of Age-related Macular Degeneration. CoRR abs/1812.00422 (2018) - 2017
- [j11]Yifan Peng, Xiong Dun, Qilin Sun, Wolfgang Heidrich:
Mix-and-match holography. ACM Trans. Graph. 36(6): 191:1-191:12 (2017) - [c11]Yifan Peng, Xiaosong Wang, Le Lu, Mohammadhadi Bagheri, Ronald M. Summers, Zhiyong Lu:
Text Mining Radiology Reports for Deep Learning Radiology Images. AMIA 2017 - [c10]Yifan Peng, Zhiyong Lu:
Deep learning for extracting protein-protein interactions from biomedical literature. BioNLP 2017: 29-38 - [c9]Rezarta Islamaj Dogan, Andrew Chatr-aryamontri, Sun Kim, Chih-Hsuan Wei, Yifan Peng, Donald C. Comeau, Zhiyong Lu:
BioCreative VI Precision Medicine Track: creating a training corpus for mining protein-protein interactions affected by mutations. BioNLP 2017: 171-175 - [c8]Xiaosong Wang, Yifan Peng, Le Lu, Zhiyong Lu, Mohammadhadi Bagheri, Ronald M. Summers:
ChestX-Ray8: Hospital-Scale Chest X-Ray Database and Benchmarks on Weakly-Supervised Classification and Localization of Common Thorax Diseases. CVPR 2017: 3462-3471 - [c7]Tiancheng Sun, Yifan Peng, Wolfgang Heidrich:
Revisiting Cross-Channel Information Transfer for Chromatic Aberration Correction. ICCV 2017: 3268-3276 - [i3]Xiaosong Wang, Yifan Peng, Le Lu, Zhiyong Lu, Mohammadhadi Bagheri, Ronald M. Summers:
ChestX-ray8: Hospital-scale Chest X-ray Database and Benchmarks on Weakly-Supervised Classification and Localization of Common Thorax Diseases. CoRR abs/1705.02315 (2017) - [i2]Yifan Peng, Zhiyong Lu:
Deep learning for extracting protein-protein interactions from biomedical literature. CoRR abs/1706.01556 (2017) - [i1]Yifan Peng, Xiaosong Wang, Le Lu, Mohammadhadi Bagheri, Ronald M. Summers, Zhiyong Lu:
NegBio: a high-performance tool for negation and uncertainty detection in radiology reports. CoRR abs/1712.05898 (2017) - 2016
- [j10]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, José Luís Oliveira, Onkar Singh, Jitendra Jonnagaddala, Hong-Jie Dai, Emily Chia-Yu Su, Yung-Chun Chang, Yu-Chen Su, Chun-Han Chu, Chien Chin Chen, Wen-Lian Hsu, Yifan Peng, Cecilia N. Arighi, Cathy H. Wu, K. Vijay-Shanker, Ferhat Aydin, Zehra Melce Hüsünbeyi, Arzucan Özgür, Soo-Yong Shin, Dongseop Kwon, Kara Dolinski, Mike Tyers, W. John Wilbur, Donald C. Comeau:
BioCreative V BioC track overview: collaborative biocurator assistant task for BioGRID. Database J. Biol. Databases Curation 2016 (2016) - [j9]Yifan Peng, Cecilia N. Arighi, Cathy H. Wu, K. Vijay-Shanker:
BioC-compatible full-text passage detection for protein-protein interactions using extended dependency graph. Database J. Biol. Databases Curation 2016 (2016) - [j8]Chih-Hsuan Wei, Yifan Peng, Robert Leaman, Allan Peter Davis, Carolyn J. Mattingly, Jiao Li, Thomas C. Wiegers, Zhiyong Lu:
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 (2016) - [j7]Yifan Peng, Chih-Hsuan Wei, Zhiyong Lu:
Improving chemical disease relation extraction with rich features and weakly labeled data. J. Cheminformatics 8(1): 53:1-53:12 (2016) - [j6]Yifan Peng, Qiang Fu, Felix Heide, Wolfgang Heidrich:
The diffractive achromat full spectrum computational imaging with diffractive optics. ACM Trans. Graph. 35(4): 31:1-31:11 (2016) - [c6]Yifan Peng, Qiang Fu, Felix Heide, Wolfgang Heidrich:
The diffractive achromat full spectrum computational imaging with diffractive optics. SIGGRAPH ASIA Virtual Reality meets Physical Reality 2016: 4:1-4:2 - [c5]Chen Su, Yifan Peng, Qing Zhong, Haifeng Li, Rui Wang, Wolfgang Heidrich, Xu Liu:
Towards VR and AR: 360° light field display with mid-air interaction. SIGGRAPH ASIA Emerging Technologies 2016: 5:1-5:2 - [c4]Chen Su, Yifan Peng, Qing Zhong, Haifeng Li, Rui Wang, Wolfgang Heidrich, Xu Liu:
Towards VR and AR enhancement: light field display with mid-air interaction. SIGGRAPH ASIA Virtual Reality meets Physical Reality 2016: 7:1-7:2 - 2015
- [j5]Gang Li, Karen E. Ross, Cecilia N. Arighi, Yifan Peng, Cathy H. Wu, K. Vijay-Shanker:
miRTex: A Text Mining System for miRNA-Gene Relation Extraction. PLoS Comput. Biol. 11(9) (2015) - [c3]Yifan Peng, Samir Gupta, Cathy H. Wu, K. Vijay-Shanker:
An extended dependency graph for relation extraction in biomedical texts. BioNLP@IJCNLP 2015: 21-30 - 2014
- [j4]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, Fabio Rinaldi, Richard Tzong-Han Tsai, Karin Verspoor, Thomas C. Wiegers, Cathy H. Wu, W. John Wilbur:
BioC interoperability track overview. Database J. Biol. Databases Curation 2014 (2014) - [j3]Yifan Peng, Catalina O. Tudor, Manabu Torii, Cathy H. Wu, K. Vijay-Shanker:
iSimp in BioC standard format: enhancing the interoperability of a sentence simplification system. Database J. Biol. Databases Curation 2014 (2014) - [j2]Yifan Peng, Manabu Torii, Cathy H. Wu, K. Vijay-Shanker:
A Generalizable NLP Framework for Fast Development of Pattern-based Biomedical Relation Extraction Systems. BMC Bioinform. 15: 285 (2014) - 2013
- [j1]Donald C. Comeau, Rezarta Islamaj Dogan, Paolo Ciccarese, Kevin Bretonnel Cohen, Martin Krallinger, Florian Leitner, Zhiyong Lu, Yifan Peng, Fabio Rinaldi, Manabu Torii, Alfonso Valencia, Karin Verspoor, Thomas C. Wiegers, Cathy H. Wu, W. John Wilbur:
BioC: a minimalist approach to interoperability for biomedical text processing. Database J. Biol. Databases Curation 2013 (2013) - [c2]Kiwon Yun, Yifan Peng, Dimitris Samaras, Gregory J. Zelinsky, Tamara L. Berg:
Studying Relationships between Human Gaze, Description, and Computer Vision. CVPR 2013: 739-746 - 2012
- [c1]Yifan Peng, Catalina O. Tudor, Manabu Torii, Cathy H. Wu, K. Vijay-Shanker:
iSimp: A sentence simplification system for biomedicail text. BIBM 2012: 1-6
Coauthor Index
Tiarnan D. Keenan
aka: Tiarnan D. L. Keenan
aka: Tiarnan D. L. Keenan
[j63] [j62] [j60] [j57] [j55] [j54] [j53] [j51] [i112] [i106] [i95] [i86] [i82] [i79] [j43] [c67] [i65] [i64] [i53] [i52] [j33] [j31] [c56] [c52] [c51] [i49] [j27] [j26] [j25] [c42] [c35] [c33] [i29] [j22] [j21] [c30] [c28] [c27] [c24] [i26] [i25] [i23] [i22] [i19] [j18] [c21] [c20] [c19] [c18] [c17] [c16] [c15] [p2] [p1] [i17] [i16] [i15] [i14] [i13] [i11] [j14] [j13] [c13] [i10] [i9] [i7] [i6] [i5] [i4] [c11] [c10] [c9] [c8] [i3] [i2] [i1] [j8] [j7] [j4] [j1]
[c100] [c98] [c97] [c96] [c95] [c94] [c91] [i111] [i108] [i107] [i105] [i94] [i93] [i92] [i91] [i90] [i89] [i88] [i85] [i84] [i80] [c88] [c86] [c85] [c84] [c83] [c82] [c81] [c80] [c79] [c78] [c74] [c73] [c72] [c71] [c70] [c68] [i77] [i76] [i75] [i71] [i70] [i69] [i68] [i66] [i58] [i57] [i56] [i55] [i54] [c58] [c55] [c54] [c53] [c45] [c44] [i47] [i44] [i42] [i39] [i28]
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Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
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OpenAlex data
Load additional information about publications from 
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last updated on 2024-12-23 20:30 CET by the dblp team
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