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Feifan Liu
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2020 – today
- 2024
- [j24]Feifan Liu, Shuang Zhang, Haoxiang Xia:
Science as exploration in a knowledge landscape: tracing hotspots or seeking opportunity? EPJ Data Sci. 13(1): 27 (2024) - [j23]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): 1493-1502 (2024) - [c30]Feifan Liu, Shuang Zhang, Haoxiang Xia:
Connector and Provincial Hub Dichotomy in Scientific Collaborations Identified by Reinforcement Learning Algorithm. EEKE/AII@iConference 2024: 106-108 - [c29]Shuang Zhang, Feifan Liu, Haoxiang Xia:
Understanding Citation Mobility in the Knowledge Space. EEKE/AII@iConference 2024: 128-133 - 2023
- [j22]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): 859-868 (2023) - [j21]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) - [j20]Feifan Liu, Fulin Zhou, Lei Ma:
An Automatic Detection Framework for Electrical Anomalies in Electrified Rail Transit System. IEEE Trans. Instrum. Meas. 72: 1-13 (2023) - [c28]Qi Su, Feifan Liu, Hongquan Shi, Haoxiang Xia, Zhengwei Ma:
Research on Resilience of Maritime Distributed Combat Network Under Targeted Attacks. DSA 2023: 519-526 - [i2]Shuang Zhang, Feifan Liu, Haoxiang Xia:
Scientists' bounded mobility on the epistemic landscape. CoRR abs/2307.10096 (2023) - 2021
- [j19]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: 107778 (2021) - [j18]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): 5130 (2021) - [c27]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 - 2020
- [c26]Feifan Liu, Xiaoyu Zheng, Hong Yu, Jennifer Tjia:
Neural Multi-Task Learning for Adverse Drug Reaction Extraction. AMIA 2020 - [c25]Bhanu Pratap Singh Rawat, Abhyuday Jagannatha, Feifan Liu, Hong Yu:
Inferring ADR causality by predicting the Naranjo Score from Clinical Notes. AMIA 2020
2010 – 2019
- 2019
- [j17]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): 943-951 (2019) - [c24]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: 77-83 - [c23]Feifan Liu, Yalei Peng, Max P. Rosen:
An Effective Deep Transfer Learning and Information Fusion Framework for Medical Visual Question Answering. CLEF 2019: 238-247 - [c22]Lei Shi, Feifan Liu, Max P. Rosen:
Deep Multimodal Learning for Medical Visual Question Answering. CLEF (Working Notes) 2019 - 2018
- [c21]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 - [c20]Yalei Peng, Feifan Liu:
UMass at ImageCLEF Medical Visual Question Answering(Med-VQA) 2018 Task. CLEF (Working Notes) 2018 - [c19]Yupeng Su, Feifan Liu, Max P. Rosen:
UMass at ImageCLEF Caption Prediction 2018 Task. CLEF (Working Notes) 2018 - 2017
- [c18]Feifan Liu, Shuangling Luo, Haoxiang Xia:
A model of fuzzy opinion dynamics. ICNC-FSKD 2017: 1371-1377 - 2016
- [i1]Feifan Liu, Jinying Chen, Abhyuday Jagannatha, Hong Yu:
Learning for Biomedical Information Extraction: Methodological Review of Recent Advances. CoRR abs/1606.07993 (2016) - 2013
- [j16]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): 95-111 (2013) - [c17]Feifan Liu, Soheil Moosavinasab, Shashank Agarwal, Andrew S. Bennett, Hong Yu:
Automatically Identifying Health- and Clinical-Related Content in Wikipedia. MedInfo 2013: 637-641 - 2012
- [c16]Feifan Liu, Soheil Moosavinasab, Thomas K. Houston, Hong Yu:
MedTxting: Learning based and Knowledge Rich SMS-style Medical Text Contraction. AMIA 2012 - 2011
- [j15]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): S10 (2011) - [j14]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): S2 (2011) - [j13]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 M. 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): S3 (2011) - [j12]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): S4 (2011) - [j11]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): 625-630 (2011) - [j10]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): 277-288 (2011) - [j9]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): 1032-1038 (2011) - [j8]Fei Liu, Feifan Liu, Yang Liu:
A Supervised Framework for Keyword Extraction From Meeting Transcripts. IEEE Trans. Speech Audio Process. 19(3): 538-548 (2011) - [c15]Feifan Liu, Fei Liu, Yang Liu:
Learning from Chinese-English Parallel Data for Chinese Tense Prediction. IJCNLP 2011: 1116-1124 - 2010
- [j7]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): 563-567 (2010) - [j6]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): 2:1-2:19 (2010) - [j5]Feifan Liu, Yang Liu:
Exploring Correlation Between ROUGE and Human Evaluation on Meeting Summaries. IEEE Trans. Speech Audio Process. 18(1): 187-196 (2010) - [j4]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): 454-461 (2010) - [c14]Feifan Liu, Dong Wang, Bin Li, Yang Liu:
Improving Blog Polarity Classification via Topic Analysis and Adaptive Methods. HLT-NAACL 2010: 309-312
2000 – 2009
- 2009
- [c13]Feifan Liu, Bin Li, Yang Liu:
Finding Opinionated Blogs Using Statistical Classifiers and Lexical Features. ICWSM 2009 - [c12]Feifan Liu, Deana Pennell, Fei Liu, Yang Liu:
Unsupervised Approaches for Automatic Keyword Extraction Using Meeting Transcripts. HLT-NAACL 2009: 620-628 - 2008
- [j3]Jun Zhao, Feifan Liu:
Product named entity recognition in Chinese text. Lang. Resour. Evaluation 42(2): 197-217 (2008) - [c11]Feifan Liu, Yang Liu:
Correlation between ROUGE and Human Evaluation of Extractive Meeting Summaries. ACL (2) 2008: 201-204 - [c10]Fan Yang, Jun Zhao, Bo Zou, Kang Liu, Feifan Liu:
Chinese-English Backward Transliteration Assisted with Mining Monolingual Web Pages. ACL 2008: 541-549 - [c9]Yang Liu, Feifan Liu:
Unsupervised language model adaptation via topic modeling based on named entity hypotheses. ICASSP 2008: 4921-4924 - [c8]Fei Liu, Feifan Liu, Yang Liu:
Automatic keyword extraction for the meeting corpus using supervised approach and bigram expansion. SLT 2008: 181-184 - [c7]Bin Li, Feifan Liu, Yang Liu:
UTDallas at TREC 2008 Blog Track. TREC 2008 - 2007
- [j2]Jun Zhao, Feifan Liu:
Linguistic Theory Based Contextual Evidence Mining for Statistical Chinese Co-Reference Resolution. J. Comput. Sci. Technol. 22(4): 608-617 (2007) - [c6]Feifan Liu, Yang Liu:
Unsupervised Language Model Adaptation Incorporating Named Entity Information. ACL 2007 - [c5]Feifan Liu, Yang Liu:
Soundbite identification using reference and automatic transcripts of broadcast news speech. ASRU 2007: 653-658 - [c4]Feifan Liu, Yang Liu:
Look Who is Talking: Soundbite Speaker Name Recognition in Broadcast News Speech. HLT-NAACL (Short Papers) 2007: 101-104 - 2006
- [c3]Feifan Liu, Jun Zhao:
A Learning Based Model for Chinese Co-reference Resolution by Mining Contextual Evidence. FSKD 2006: 1249-1258 - 2005
- [c2]Feifan Liu, Jun Zhao, Bibo Lv, Bo Xu, Hao Yu:
Product Named Entity Recognition Based on Hierarchical Hidden Markov Model. SIGHAN@IJCNLP 2005 2005 - 2004
- [j1]Wei Cheng, Jun Zhao, Feifan Liu, Bo Xu:
A co-chunk based method for spoken-language translation. J. Chin. Lang. Comput. 14(1) (2004) - [c1]Feifan Liu, Qianli Jin, Jun Zhao, Bo Xu:
Bilingual Chunk Alignment Based on Interactional Matching and Probabilistic Latent Semantic Indexing. IJCNLP 2004: 416-425
Coauthor Index
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last updated on 2024-11-04 21:41 CET by the dblp team
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