Feifan Liu

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 21

Top Topics

Transfer Learning

Information Extraction

Fuzzy Clustering Algorithm

Top Venues

J. Am. Medical Informatics Assoc.

CLEF (Working Notes)

Publications

Feifan Liu, Shuang Zhang, Haoxiang Xia
Science as exploration in a knowledge landscape: tracing hotspots or seeking opportunity? EPJ Data Sci. 13 (1) (2024)
Sunyang Fu, Liwei Wang, Huan He, Andrew Wen, Nansu Zong, Anamika Kumari, Feifan Liu, Sicheng Zhou, Rui Zhang, Chenyu Li, Yanshan Wang, Jennifer St Sauver, Hongfang Liu, Sunghwan Sohn
A taxonomy for advancing systematic error analysis in multi-site electronic health record-based clinical concept extraction. J. Am. Medical Informatics Assoc. 31 (7) (2024)
Anna Ostropolets, Yasser Albogami, Mitchell Conover, Juan M. Banda, William A. Baumgartner Jr., Clair Blacketer, Priyamvada Desai, Scott L. DuVall, Stephen P. Fortin, James P. Gilbert, Asieh Golozar, Joshua Ide, Andrew S. Kanter, David M. Kern, Chungsoo Kim, Lana Y. H. Lai, Chenyu Li, Feifan Liu, Kristine E. Lynch, Evan Minty, Maria Inês Neves, Ding Quan Ng, Tontel Obene, Victor Pera, Nicole Pratt, Gowtham Rao, Nadav Rappoport, Ines Reinecke, Paola Saroufim, Azza Shoaibi, Katherine Simon, Marc A. Suchard, Joel N. Swerdel, Erica A. Voss, James Weaver, Linying Zhang, George Hripcsak, Patrick B. Ryan
Reproducible variability: assessing investigator discordance across 9 research teams attempting to reproduce the same observational study. J. Am. Medical Informatics Assoc. 30 (5) (2023)
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 (2023)
Qi Su, Feifan Liu, Hongquan Shi, Haoxiang Xia, Zhengwei Ma
Research on Resilience of Maritime Distributed Combat Network Under Targeted Attacks. DSA (2023)
Shuang Zhang, Feifan Liu, Haoxiang Xia
Scientists' bounded mobility on the epistemic landscape. CoRR (2023)
Feifan Liu, Fulin Zhou, Lei Ma
An Automatic Detection Framework for Electrical Anomalies in Electrified Rail Transit System. IEEE Trans. Instrum. Meas. 72 (2023)
Feifan Liu, Noha Sharafeldin, Vithal Madhira, Katie R. Bradwell, Qianqian Song, Benjamin Bates, Yu R. Shao, Jing Su, Alfred Anzalone, Timothym Bergquist, Sarah Cutrona, Ben S. Gerber, Peter N. Robinson, Justin Guinney, Umit Topaloglu
COVID-19 Mortality Prediction among Patients with Cancer Using a Large National Cohort. AMIA (2021)
Feifan Liu, Baoyou Zhu, Gaopeng Lu, Ming Ma
Outbreak of Negative Narrow Bipolar Events in Two Mid-Latitude Thunderstorms Featuring Overshooting Tops. Remote. Sens. 13 (24) (2021)
Feng Zhao, Feifan Liu, Chaoqi Li, Hanqiang Liu, Rong Lan, JiuLun Fan
Coarse-fine surrogate model driven multiobjective evolutionary fuzzy clustering algorithm with dual memberships for noisy image segmentation. Appl. Soft Comput. 112 (2021)
Feifan Liu, Xiaoyu Zheng, Hong Yu, Jennifer Tjia
Neural Multi-Task Learning for Adverse Drug Reaction Extraction. AMIA (2020)
Bhanu Pratap Singh Rawat, Abhyuday Jagannatha, Feifan Liu, Hong Yu
Inferring ADR causality by predicting the Naranjo Score from Clinical Notes. AMIA (2020)
Lei Shi, Feifan Liu, Max P. Rosen
Deep Multimodal Learning for Medical Visual Question Answering. CLEF (Working Notes) (2019)
Feifan Liu, Yalei Peng, Max P. Rosen
An Effective Deep Transfer Learning and Information Fusion Framework for Medical Visual Question Answering. CLEF (2019)
Feifan Liu, Richeek Pradhan, Emily Druhl, Elaine T. Freund, Weisong Liu, Brian C. Sauer, Fran Cunningham, Adam J. Gordon, Celena B. Peters, Hong Yu
Learning to detect and understand drug discontinuation events from clinical narratives. J. Am. Medical Informatics Assoc. 26 (10) (2019)
Feifan Liu, Xiaoyu Zheng, Bo Wang, Catarina I. Kiefe
DeepGeneMD: A Joint Deep Learning Model for Extracting Gene Mutation-Disease Knowledge from PubMed Literature. BioNLP-OST@EMNLP-IJNCLP (2019)
Yalei Peng, Feifan Liu
UMass at ImageCLEF Medical Visual Question Answering(Med-VQA) 2018 Task. CLEF (Working Notes) (2018)
Celena B. Peters, Fran Cunningham, Hong Yu, Adam J. Gordon, Cedric L. Salone, Jessica Zacher, Ronald Carico, Jianwei Leng, Nikolh Smith-Nemard, Weisong Liu, Sophia Lu, Emily Druhl, Tina Huynh, Zachary Burningham, Feifan Liu, Brian C. Sauer
Reference Standard Development to Train Natural Language Processing Algorithms to Detect Problematic Buprenorphine-Naloxone Therapy. AMIA (2018)
Yupeng Su, Feifan Liu, Max P. Rosen
UMass at ImageCLEF Caption Prediction 2018 Task. CLEF (Working Notes) (2018)
Feifan Liu, Shuangling Luo, Haoxiang Xia
A model of fuzzy opinion dynamics. ICNC-FSKD (2017)
Feifan Liu, Jinying Chen, Abhyuday Jagannatha, Hong Yu
Learning for Biomedical Information Extraction: Methodological Review of Recent Advances. CoRR (2016)
Feifan Liu, Soheil Moosavinasab, Shashank Agarwal, Andrew S. Bennett, Hong Yu
Automatically Identifying Health- and Clinical-Related Content in Wikipedia. MedInfo (2013)
Changling Li, Fengjiao Guo, Ling Zhi, Zhiping Han, Feifan Liu
Knowledge management research status in China from 2006 to 2010: based on analysis of the degree theses. Scientometrics 94 (1) (2013)
Feifan Liu, Soheil Moosavinasab, Thomas K. Houston, Hong Yu
MedTxting: Learning based and Knowledge Rich SMS-style Medical Text Contraction. AMIA (2012)
Fei Liu, Feifan Liu, Yang Liu
A Supervised Framework for Keyword Extraction From Meeting Transcripts. IEEE Trans. Speech Audio Process. 19 (3) (2011)
Martin Krallinger, Miguel Vazquez, Florian Leitner, David Salgado, Andrew Chatr-aryamontri, Andrew G. Winter, Livia Perfetto, Leonardo Briganti, Luana Licata, Marta Iannuccelli, Luisa Castagnoli, Gianni Cesareni, Mike Tyers, Gerold Schneider, Fabio Rinaldi, Robert Leaman, Graciela Gonzalez, Sérgio Matos, Sun Kim, W. John Wilbur, Luis Mateus Rocha, Hagit Shatkay, Ashish V. Tendulkar, Shashank Agarwal, Feifan Liu, Xinglong Wang, Rafal Rak, Keith Noto, Charles Elkan, Zhiyong Lu
The Protein-Protein Interaction tasks of BioCreative III: classification/ranking of articles and linking bio-ontology concepts to full text. BMC Bioinform. 12 (S-8) (2011)
Cecilia N. Arighi, Phoebe M. Roberts, Shashank Agarwal, Sanmitra Bhattacharya, Gianni Cesareni, Andrew Chatr-aryamontri, Simon Clematide, Pascale Gaudet, Michelle G. Giglio, Ian Harrow, Eva Huala, Martin Krallinger, Ulf Leser, Donghui Li, Feifan Liu, Zhiyong Lu, Lois J. Maltais, Naoaki Okazaki, Livia Perfetto, Fabio Rinaldi, Rune Sætre, David Salgado, Padmini Srinivasan, Philippe E. Thomas, Luca Toldo, Lynette Hirschman, Cathy H. Wu
BioCreative III interactive task: an overview. BMC Bioinform. 12 (S-8) (2011)
Feifan Liu, Lamont D. Antieau, Hong Yu
Toward automated consumer question answering: Automatically separating consumer questions from professional questions in the healthcare domain. J. Biomed. Informatics 44 (6) (2011)
Shashank Agarwal, Feifan Liu, Hong Yu
Simple and efficient machine learning frameworks for identifying protein-protein interaction relevant articles and experimental methods used to study the interactions. BMC Bioinform. 12 (S-8) (2011)
Yonggang Cao, Feifan Liu, Pippa Simpson, Lamont D. Antieau, Andrew S. Bennett, James J. Cimino, John W. Ely, Hong Yu
AskHERMES: An online question answering system for complex clinical questions. J. Biomed. Informatics 44 (2) (2011)
Zhiyong Lu, Hung-Yu Kao, Chih-Hsuan Wei, Minlie Huang, Jingchen Liu, Cheng-Ju Kuo, Chun-Nan Hsu, Richard Tzong-Han Tsai, Hong-Jie Dai, Naoaki Okazaki, Han-Cheol Cho, Martin Gerner, Illés Solt, Shashank Agarwal, Feifan Liu, Dina Vishnyakova, Patrick Ruch, Martin Romacker, Fabio Rinaldi, Sanmitra Bhattacharya, Padmini Srinivasan, Hongfang Liu, Manabu Torii, Sérgio Matos, David Campos, Karin Verspoor, Kevin M. Livingston, W. John Wilbur
The gene normalization task in BioCreative III. BMC Bioinform. 12 (S-8) (2011)
Feifan Liu, Fei Liu, Yang Liu
Learning from Chinese-English Parallel Data for Chinese Tense Prediction. IJCNLP (2011)
Feifan Liu, Gökhan Tür, Dilek Hakkani-Tür, Hong Yu
Towards spoken clinical-question answering: evaluating and adapting automatic speech-recognition systems for spoken clinical questions. J. Am. Medical Informatics Assoc. 18 (5) (2011)
Feifan Liu, Yang Liu
Identification of Soundbite and Its Speaker Name Using Transcripts of Broadcast News Speech. ACM Trans. Asian Lang. Inf. Process. 9 (1) (2010)
Zuofeng Li, Feifan Liu, Lamont D. Antieau, Yonggang Cao, Hong Yu
Lancet: a high precision medication event extraction system for clinical text. J. Am. Medical Informatics Assoc. 17 (5) (2010)
Feifan Liu, Dong Wang, Bin Li, Yang Liu
Improving Blog Polarity Classification via Topic Analysis and Adaptive Methods. HLT-NAACL (2010)
Yonggang Cao, Zuofeng Li, Feifan Liu, Shashank Agarwal, Qing Zhang, Hong Yu
An IR-Aided Machine Learning Framework for the BioCreative II.5 Challenge. IEEE ACM Trans. Comput. Biol. Bioinform. 7 (3) (2010)
Feifan Liu, Yang Liu
Exploring Correlation Between ROUGE and Human Evaluation on Meeting Summaries. IEEE Trans. Speech Audio Process. 18 (1) (2010)
Feifan Liu, Deana Pennell, Fei Liu, Yang Liu
Unsupervised Approaches for Automatic Keyword Extraction Using Meeting Transcripts. HLT-NAACL (2009)
Feifan Liu, Bin Li, Yang Liu
Finding Opinionated Blogs Using Statistical Classifiers and Lexical Features. ICWSM (2009)
Feifan Liu, Yang Liu
Correlation between ROUGE and Human Evaluation of Extractive Meeting Summaries. ACL (2) (2008)
Jun Zhao, Feifan Liu
Product named entity recognition in Chinese text. Lang. Resour. Evaluation 42 (2) (2008)
Fan Yang, Jun Zhao, Bo Zou, Kang Liu, Feifan Liu
Chinese-English Backward Transliteration Assisted with Mining Monolingual Web Pages. ACL (2008)
Bin Li, Feifan Liu, Yang Liu
UTDallas at TREC 2008 Blog Track. TREC (2008)
Fei Liu, Feifan Liu, Yang Liu
Automatic keyword extraction for the meeting corpus using supervised approach and bigram expansion. SLT (2008)
Yang Liu, Feifan Liu
Unsupervised language model adaptation via topic modeling based on named entity hypotheses. ICASSP (2008)
Feifan Liu, Yang Liu
Look Who is Talking: Soundbite Speaker Name Recognition in Broadcast News Speech. HLT-NAACL (Short Papers) (2007)
Feifan Liu, Yang Liu
Soundbite identification using reference and automatic transcripts of broadcast news speech. ASRU (2007)
Feifan Liu, Yang Liu
Unsupervised Language Model Adaptation Incorporating Named Entity Information. ACL (2007)
Jun Zhao, Feifan Liu
Linguistic Theory Based Contextual Evidence Mining for Statistical Chinese Co-Reference Resolution. J. Comput. Sci. Technol. 22 (4) (2007)
Feifan Liu, Jun Zhao
A Learning Based Model for Chinese Co-reference Resolution by Mining Contextual Evidence. FSKD (2006)
Feifan Liu, Jun Zhao, Bibo Lv, Bo Xu, Hao Yu
Product Named Entity Recognition Based on Hierarchical Hidden Markov Model. SIGHAN@IJCNLP 2005 (2005)
Wei Cheng, Jun Zhao, Feifan Liu, Bo Xu
A co-chunk based method for spoken-language translation. J. Chin. Lang. Comput. 14 (1) (2004)
Feifan Liu, Qianli Jin, Jun Zhao, Bo Xu
Bilingual Chunk Alignment Based on Interactional Matching and Probabilistic Latent Semantic Indexing. IJCNLP (2004)