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ORCIDChun-Nan Hsu
許鈞南
Person information
- unicode name: 許鈞南
- affiliation: University of California San Diego, Center for Microbiome Innovation, La Jolla, CA, USA
- affiliation: Academia Sinica, Institute of Information Science, Taipei, Taiwan
- affiliation (PhD 1996): University of Southern California, Information Sciences Institute (ISI), Los Angeles, CA, USA
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Journal Articles
- 2021
[j35]Adam R. Klie
, Brian Tsui, Shamim Mollah, Dylan Skola, Michelle Dow, Chun-Nan Hsu, Hannah Carter:
Increasing metadata coverage of SRA BioSample entries using deep learning-based named entity recognition. Database J. Biol. Databases Curation 2021 (2021)- [j34]Chun-Nan Hsu, Chia-Hui Chang, Thamolwan Poopradubsil, Amanda Lo, Karen A. William, Ko-Wei Lin, Anita E. Bandrowski, Ibrahim Burak Özyurt, Jeffrey S. Grethe, Maryann E. Martone:
Antibody Watch: Text mining antibody specificity from the literature. PLoS Comput. Biol. 17(5) (2021) - 2020
- [j33]Chun-Nan Hsu, Anita E. Bandrowski, Tom Gillespie, Jon Udell, Ko-Wei Lin, Ibrahim Burak Özyurt, Jeffrey S. Grethe, Maryann E. Martone:
Comparing the Use of Research Resource Identifiers and Natural Language Processing for Citation of Databases, Software, and Other Digital Artifacts. Comput. Sci. Eng. 22(2): 22-32 (2020) - 2018
- [j32]Rodney A. Gabriel, Tsung-Ting Kuo, Julian J. McAuley, Chun-Nan Hsu:
Identifying and characterizing highly similar notes in big clinical note datasets. J. Biomed. Informatics 82: 63-69 (2018) - 2016
- [j31]Suvir Jain, Kashyap R., Tsung-Ting Kuo, Shitij Bhargava, Gordon Lin, Chun-Nan Hsu:
Weakly supervised learning of biomedical information extraction from curated data. BMC Bioinform. 17(S-1): 1 (2016) - [j30]Suvir Jain, Kashyap R. Tumkur, Tsung-Ting Kuo, Shitij Bhargava, Gordon Lin, Chun-Nan Hsu:
Erratum to: Weakly supervised learning of biomedical information extraction from curated data. BMC Bioinform. 17: 84 (2016) - 2012
- [j29]Dorit S. Hochbaum, Chun-Nan Hsu, Yan T. Yang:
Ranking of multidimensional drug profiling data by fractional-adjusted bi-partitional scores. Bioinform. 28(12): 106-114 (2012) - 2011
- [j28]Sung-Chou Li, Wen-Ching Chan, Chun-Hung Lai, Kuo-Wang Tsai, Chun-Nan Hsu, Yuh-Shan Jou, Hua-Chien Chen, Chun-Hong Chen, Wen-Chang Lin:
UMARS: Un-MAppable Reads Solution. BMC Bioinform. 12(S-1): S9 (2011) - [j27]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) - [j26]Cheng-Ju Kuo, Maurice H. T. Ling, Chun-Nan Hsu:
Soft tagging of overlapping high confidence gene mention variants for cross-species full-text gene normalization. BMC Bioinform. 12(S-8): S6 (2011) - [j25]Jyh-Ying Peng, Chung-Chih Lin, Yen-Jen Chen, Lung-Sen Kao, Young-Chau Liu, Chung-Chien Chou, Yi-Hung Huang, Fang-Rong Chang, Yang-Chang Wu, Yuh-Show Tsai, Chun-Nan Hsu:
Automatic Morphological Subtyping Reveals New Roles of Caspases in Mitochondrial Dynamics. PLoS Comput. Biol. 7(10) (2011) - [j24]Chun-Nan Hsu:
Introduction to special issue on large-scale machine learning. ACM Trans. Intell. Syst. Technol. 2(3): 25:1-25:2 (2011) - 2010
- [j23]Yu-Shi Lin, Chung-Chih Lin, Yuh-Show Tsai, Tien-Chuan Ku, Yi-Hung Huang, Chun-Nan Hsu:
A spectral graph theoretic approach to quantification and calibration of collective morphological differences in cell images. Bioinform. 26(12): 29-37 (2010) - [j22]Wen-Ching Chan, Po-Huang Liang, Yan-Ping Shih, Ueng-Cheng Yang, Wen-Chang Lin, Chun-Nan Hsu:
Learning to predict expression efficacy of vectors in recombinant protein production. BMC Bioinform. 11(S-1): 21 (2010) - [j21]Loris Nanni, Alessandra Lumini, Yu-Shi Lin, Chun-Nan Hsu, Chung-Chih Lin:
Fusion of systems for automated cell phenotype image classification. Expert Syst. Appl. 37(2): 1556-1562 (2010) - 2009
- [j20]Cheng-Ju Kuo, Maurice H. T. Ling, Kuan-Ting Lin, Chun-Nan Hsu:
BIOADI: a machine learning approach to identifying abbreviations and definitions in biological literature. BMC Bioinform. 10(S-15): 7 (2009) - [j19]Han-Shen Huang, Bo-Hou Yang, Yu-Ming Chang, Chun-Nan Hsu:
Global and componentwise extrapolations for accelerating training of Bayesian networks and conditional random fields. Data Min. Knowl. Discov. 19(1): 58-94 (2009) - [j18]Chun-Nan Hsu, Han-Shen Huang, Yu-Ming Chang, Yuh-Jye Lee:
Periodic step-size adaptation in second-order gradient descent for single-pass on-line structured learning. Mach. Learn. 77(2-3): 195-224 (2009) - 2008
- [j17]Dau-Cheng Lyu, Ren-Yuan Lyu, Yuang-Chin Chiang, Chun-Nan Hsu:
Cross-lingual audio-to-text alignment for multimedia content management. Decis. Support Syst. 45(3): 554-566 (2008) - 2007
- [j16]Chung-Chih Lin, Yuh-Show Tsai, Yu-Shi Lin, Tai-Yu Chiu, Chia-Cheng Hsiung, May-I Lee, Jeremy C. Simpson, Chun-Nan Hsu:
Boosting multiclass learning with repeating codes and weak detectors for protein subcellular localization. Bioinform. 23(24): 3374-3381 (2007) - [j15]Chun-Nan Hsu, Jin-Mei Lai, Chia-Hung Liu, Huei-Hun Tseng, Chih-Yun Lin, Kuan-Ting Lin, Hsu-Hua Yeh, Ting-Yi Sung, Wen-Lian Hsu, Li-Jen Su, Sheng-An Lee, Chang-Han Chen, Gen-Cher Lee, D. T. Lee, Yow-Ling Shiue, Chang-Wei Yeh, Chao-Hui Chang, Cheng-Yan Kao, Chi-Ying F. Huang:
Detection of the inferred interaction network in hepatocellular carcinoma from EHCO (Encyclopedia of Hepatocellular Carcinoma genes Online). BMC Bioinform. 8 (2007) - 2006
- [j14]Hsiang-Yu Yuan, Jen-Jie Chiou, Wen-Hsien Tseng, Chia-Hung Liu, Chuan-Kun Liu, Yi-Jung Lin, Hui-Hung Wang, Adam Yao, Yuan-Tsong Chen, Chun-Nan Hsu:
FASTSNP: an always up-to-date and extendable service for SNP function analysis and prioritization. Nucleic Acids Res. 34(Web-Server-Issue): 635-641 (2006) - 2005
- [j13]Dau-Cheng Lyu, Ren-Yuan Lyu, Yuang-Chin Chiang, Chun-Nan Hsu:
Modeling Pronunciation Variation for Bi-Lingual Mandarin/Taiwanese Speech Recognition. Int. J. Comput. Linguistics Chin. Lang. Process. 10(3) (2005) - [j12]Chun-Nan Hsu, Chia-Hui Chang, Chang-Huain Hsieh, Jiann-Jyh Lu, Chien-Chi Chang:
Reconfigurable Web wrapper agents for biological information integration. J. Assoc. Inf. Sci. Technol. 56(5): 505-517 (2005) - 2004
- [j11]Chun-Nan Hsu, Hao-Hsiang Chung, Han-Shen Huang:
Mining Skewed and Sparse Transaction Data for Personalized Shopping Recommendation. Mach. Learn. 57(1-2): 35-59 (2004) - 2003
- [j10]Chia-Hui Chang, Chun-Nan Hsu, Shao-Chen Lui:
Automatic information extraction from semi-structured Web pages by pattern discovery. Decis. Support Syst. 35(1): 129-147 (2003) - [j9]Chia-Hui Chang, Harianto Siek, Jiann-Jyh Lu, Chun-Nan Hsu, Jen-Jie Chiou:
Reconfigurable Web Wrapper Agents. IEEE Intell. Syst. 18(5): 34-40 (2003) - [j8]Euna Jeong, Chun-Nan Hsu:
View Inference for Heterogeneous XML Information Integration. J. Intell. Inf. Syst. 20(1): 81-99 (2003) - [j7]Chun-Nan Hsu, Hung-Ju Huang, Tzu-Tsung Wong:
Implications of the Dirichlet Assumption for Discretization of Continuous Variables in Naive Bayesian Classifiers. Mach. Learn. 53(3): 235-263 (2003) - 2002
- [j6]Hung-Ju Huang, Chun-Nan Hsu:
Bayesian classification for data from the same unknown class. IEEE Trans. Syst. Man Cybern. Part B 32(2): 137-145 (2002) - [j5]Chun-Nan Hsu, Hung-Ju Huang, Dietrich Schuschel:
The ANNIGMA-wrapper approach to fast feature selection for neural nets. IEEE Trans. Syst. Man Cybern. Part B 32(2): 207-212 (2002) - 2000
- [j4]Chun-Nan Hsu, Craig A. Knoblock:
Semantic Query Optimization for Query Plans of Heterogeneous Multidatabase Systems. IEEE Trans. Knowl. Data Eng. 12(6): 959-978 (2000) - 1998
- [j3]Chun-Nan Hsu, Craig A. Knoblock:
Discovering Robust Knowledge from Databases that Change. Data Min. Knowl. Discov. 2(1): 69-95 (1998) - [j2]Chun-Nan Hsu, Ming-Tzung Dung:
Generating Finite-State Transducers for Semi-Structured Data Extraction from the Web. Inf. Syst. 23(8): 521-538 (1998) - 1993
- [j1]Yigal Arens, Chin Y. Chee, Chun-Nan Hsu, Craig A. Knoblock:
Retrieving and Integrating Data from Multiple Information Sources. Int. J. Cooperative Inf. Syst. 2(2): 127-158 (1993)
Conference and Workshop Papers
- 2023
- [c59]Zexue He, An Yan, Amilcare Gentili, Julian J. McAuley, Chun-Nan Hsu:
"Nothing Abnormal": Disambiguating Medical Reports via Contrastive Knowledge Infusion. AAAI 2023: 14232-14240 - [c58]Zexue He, Yu Wang, An Yan, Yao Liu, Eric Y. Chang, Amilcare Gentili, Julian J. McAuley, Chun-Nan Hsu:
MedEval: A Multi-Level, Multi-Task, and Multi-Domain Medical Benchmark for Language Model Evaluation. EMNLP 2023: 8725-8744 - 2022
- [c57]Jiacheng Li, Yannis Katsis, Tyler Baldwin, Ho-Cheol Kim, Andrew Bartko, Julian J. McAuley, Chun-Nan Hsu:
SPOT: Knowledge-Enhanced Language Representations for Information Extraction. CIKM 2022: 1124-1134 - [c56]Xing Lu, An Yan, Eric Y. Chang, Chun-Nan Hsu, Julian J. McAuley, Jiang Du, Amilcare Gentili:
Semi-supervised Multi-Label Classification with 3D CBAM Resnet for Tuberculosis Cavern Report. CLEF (Working Notes) 2022: 1474-1479 - [c55]Canlin Zhang, Chun-Nan Hsu, Yannis Katsis, Ho-Cheol Kim, Yoshiki Vazquez-Baeza:
Theoretical Rule-based Knowledge Graph Reasoning by Connectivity Dependency Discovery. IJCNN 2022: 1-9 - 2021
- [c54]William P. Hogan, Molly Huang, Yannis Katsis, Tyler Baldwin, Ho-Cheol Kim, Yoshiki Vazquez-Baeza, Andrew Bartko, Chun-Nan Hsu:
Abstractified Multi-instance Learning (AMIL) for Biomedical Relation Extraction. AKBC 2021 - [c53]William P. Hogan, Yoshiki Vazquez-Baeza, Yannis Katsis, Tyler Baldwin, Ho-Cheol Kim, Chun-Nan Hsu:
BLAR: Biomedical Local Acronym Resolver. BioNLP@NAACL-HLT 2021: 126-130 - [c52]Xing Lu, Eric Y. Chang, Chun-Nan Hsu, Jiang Du, Amilcare Gentili:
Multi-Classification Study of the Tuberculosis with 3D CBAM-ResNet and EfficientNet. CLEF (Working Notes) 2021: 1305-1309 - [c51]An Yan, Zexue He, Xing Lu, Jiang Du, Eric Y. Chang, Amilcare Gentili, Julian J. McAuley, Chun-Nan Hsu:
Weakly Supervised Contrastive Learning for Chest X-Ray Report Generation. EMNLP (Findings) 2021: 4009-4015 - 2020
- [c50]Xing Lu, Eric Y. Chang, Zhaohui Liu, Chun-Nan Hsu, Jiang Du, Amilcare Gentili:
ImageCLEF2020: Laterality-Reduction Three-Dimensional CBAM-Resnet with Balanced Sampler for Multi-Binary Classification of Tuberculosis and CT Auto Reports. CLEF (Working Notes) 2020 - [c49]Jianmo Ni, Chun-Nan Hsu, Amilcare Gentili, Julian J. McAuley:
Learning Visual-Semantic Embeddings for Reporting Abnormal Findings on Chest X-rays. EMNLP (Findings) 2020: 1954-1960 - 2019
- [c48]Dustin Wright, Yannis Katsis, Raghav Mehta, Chun-Nan Hsu:
NormCo: Deep Disease Normalization for Biomedical Knowledge Base Construction. AKBC 2019 - 2017
- [c47]Rodney A. Gabriel, Sanjeev Shenoy, Tsung-Ting Kuo, Julian J. McAuley, Chun-Nan Hsu:
The presence of highly similar notes within the MIMIC-III dataset. AMIA 2017 - 2016
- [c46]Stephanie Feudjio Feupe, Ko-Wei Lin, Tsung-Ting Kuo, Chun-Nan Hsu, Hyeon-Eui Kim:
Review and Evaluation of the State of Standardization of Computable Phenotype. AMIA 2016 - [c45]Tsung-Ting Kuo, Pallavi Rao, Cleo K. Maehara, Son Doan, Juan D. Chaparro, Michele E. Day, Claudiu Farcas, Lucila Ohno-Machado, Chun-Nan Hsu:
Ensembles of NLP Tools for Data Element Extraction from Clinical Notes. AMIA 2016 - [c44]Siddharth Singh, Paulina Paul, Chun-Nan Hsu, Lucila Ohno-Machado:
Developing an Electronic Health Record-Based Cohort of Patients with Inflammatory Bowel Diseases for Observational Patient-Centered Outcomes Research. AMIA 2016 - [c43]Ankit Goyal, Alok Singh, Shitij Bhargava, Daniel Crawl, Ilkay Altintas, Chun-Nan Hsu:
Natural Language Processing using Kepler Workflow System: First Steps. ICCS 2016: 712-721 - 2014
- [c42]Yi-Hung Huang, Ming-Tat Ko, Chun-Nan Hsu:
Identifying Transformative Research in Biomedical Sciences. TAAI 2014: 188-197 - 2013
- [c41]Yi-Hung Huang, Chun-Nan Hsu, Kristina Lerman:
Identifying Transformative Scientific Research. ICDM 2013: 291-300 - [c40]Jyh-Ying Peng, Yen-Jen Chen, Marc D. Green, Susan L. Forsburg, Chun-Nan Hsu:
Robust cell segmentation for schizosaccharomyces pombe images with focus gradient. ISBI 2013: 414-417 - [c39]Ai He, Shefali Sharma, Chun-Nan Hsu:
Reconstructing Big Semantic Similarity Networks. TextGraphs@EMNLP 2013: 20-28 - 2012
- [c38]Shefali Sharma, Leslie Lange, José Luis Ambite, Yigal Arens, Chun-Nan Hsu:
Exploring Label Dependency in Active Learning for Phenotype Mapping. BioNLP@HLT-NAACL 2012: 146-154 - [c37]Jyh-Ying Peng, Yen-Jen Chen, Marc D. Green, Susan L. Forsburg, Chun-Nan Hsu:
Simultaneous Segmentation of Cell and Nucleus in Schizosaccharomyces pombe Images with Focus Gradient. HISB 2012: 116 - 2011
- [c36]Chun-Nan Hsu, Cheng-Ju Kuo, Congxing Cai, Sarah A. Pendergrass, Marylyn D. Ritchie, José Luis Ambite:
Learning Phenotype Mapping for Integrating Large Genetic Data. BioNLP@ACL 2011: 19-27 - [c35]Rumi Ghosh, Tsung-Ting Kuo, Chun-Nan Hsu, Shou-De Lin, Kristina Lerman:
Time-Aware Ranking in Dynamic Citation Networks. ICDM Workshops 2011: 373-380 - [c34]Chun-Nan Hsu, Wee Sun Lee:
Preface. ACML 2011 - 2009
- [c33]Han-Shen Huang, Bo-Hou Yang, Ren-Yuan Lyu, Chun-Nan Hsu:
Accelerating EM by targeted aggressive double extrapolation. ICASSP 2009: 1609-1612 - [c32]Robert F. Murphy, Chun-Nan Hsu, Loris Nanni:
Workshop summary: Automated interpretation and modelling of cell images. ICML 2009: 4 - [c31]Yu-Shi Lin, Yi-Hung Huang, Chung-Chih Lin, Chun-Nan Hsu:
Feature Space Transformation for Semi-Supervised Learning for Protein Subcellular Localization in Fluorescence Microscopy Images. ISBI 2009: 414-417 - [c30]Chun-Nan Hsu, Yu-Ming Chang, Han-Shen Huang, Yuh-Jye Lee:
Periodic Step Size Adaptation for Single Pass On-line Learning. NIPS 2009: 763-771 - 2008
- [c29]Chun-Nan Hsu, Yu-Ming Chang, Cheng-Ju Kuo, Yu-Shi Lin, Han-Shen Huang, I-Fang Chung:
Integrating high dimensional bi-directional parsing models for gene mention tagging. ISMB 2008: 286-294 - 2007
- [c28]Kuan-Ting Lin, Chia-Hung Liu, Jen-Jie Chiou, Wen-Hsien Tseng, Kuang-Lung Lin, Chun-Nan Hsu:
Gene Name Service: No-Nonsense Alias Resolution Service for Homo Sapiens Genes. Web Intelligence/IAT Workshops 2007: 185-188 - [c27]Han-Shen Huang, Yu-Ming Chang, Chun-Nan Hsu:
Training Conditional Random Fields by Periodic Step Size Adaptation for Large-Scale Text Mining. ICDM 2007: 511-516 - [c26]Yu-Ming Chang, Cheng-Ju Kuo, Han-Shen Huang, Yu-Shi Lin, Chun-Nan Hsu:
Analysis and Enhancement of Conditional Random Fields Gene Mention Taggers in BioCreative II Challenge Evaluation. LBM (Short Papers) 2007 - [c25]Dau-Cheng Lyu, Ren-Yuan Lyu, Yung-Jien Chiang, Chun-Nan Hsu:
多語聲學單位分類之最佳化研究 (The Study of Acoustic Model Clustering in Multilingual Speech Recognition) [In Chinese]. ROCLING 2007 - 2006
- [c24]Dau-Cheng Lyu, Ren-Yuan Lyu, Yuang-Chin Chiang, Chun-Nan Hsu:
Speech Recognition on Code-Switching Among the Chinese Dialects. ICASSP (1) 2006: 1105-1108 - [c23]Chun-Nan Hsu, Han-Shen Huang, Bo-Hou Yang:
Global and Componentwise Extrapolation for Accelerating Data Mining from Large Incomplete Data Sets with the EM Algorithm. ICDM 2006: 265-274 - [c22]Dau-Cheng Lyu, Ren-Yuan Lyu, Yuang-Chin Chiang, Chun-Nan Hsu:
Language Identification by Using Syllable-Based Duration Classification on Code-Switching Speech. ISCSLP 2006: 475-484 - 2005
- [c21]Han-Shen Huang, Bou-Ho Yang, Chun-Nan Hsu:
Triple Jump Acceleration for the EM Algorithm. ICDM 2005: 649-652 - [c20]Koung-Lung Lin, Jane Yung-jen Hsu, Han-Shen Huang, Chun-Nan Hsu:
A Recommender for Targeted Advertisement of Unsought Products in E-Commerce. CEC 2005: 101-108 - 2004
- [c19]Ren-Yuan Lyu, Dau-Cheng Lyu, Min-Siong Liang, Min-Hong Wang, Yuang-Chin Chiang, Chun-Nan Hsu:
A unified framework for large vocabulary speech recognition of mutually unintelligible Chinese "regionalects". INTERSPEECH 2004: 1001-1004 - [c18]Dau-Cheng Lyu, Hong-Wen Hsien, Yung-Xian Lee, Zhong-Ing Liou, Chun-Nan Hsu, Yung-Jien Chiang, Ren-Yuan Lyu:
華台雙語發音變異性之語音辨識研究及PDA之應用 (The study of pronunciation variations in Mandarin and Taiwanese and its application in PDA) [In Chinese]. ROCLING 2004 - 2003
- [c17]Chun-Nan Hsu, Hau-Chung Yu, Bo-Hou Yang:
Speaker verification without background speaker models. ICASSP (2) 2003: 233-236 - [c16]Chun-Nan Hsu, Hao-Hsiang Chung, Han-Shen Huang:
The Hybrid Poisson Aspect Model for Personalized Shopping Recommendation. ICDM 2003: 545-548 - [c15]Chun-Nan Hsu, Chia-Hui Chang, Harianto Siek, Jiann-Jyh Lu, Jen-Jie Chiou:
Reconfigurable Web Wrapper Agents for Web Information Integration. IIWeb 2003: 15-20 - [c14]Jiann-Jyh Lu, Chun-Nan Hsu:
Query Answering Using Ontologies in Agent-based Resource Sharing Environment for Biological Web Information Integrating. IIWeb 2003: 197-202 - [c13]Dau-Cheng Lyu, Min-Siong Liang, Yuang-Chin Chiang, Chun-Nan Hsu, Ren-Yuan Lyu:
Large vocabulary taiwanese (min-nan) speech recognition using tone features and statistical pronunciation modeling. INTERSPEECH 2003: 1861-1864 - 2002
- [c12]Hung-Ju Huang, Chun-Nan Hsu:
Recognizing 100 Speakers Using Homologous Naive Bayes. PRICAI 2002: 395-403 - 2001
- [c11]Euna Jeong, Chun-Nan Hsu:
Induction of Integrated View for XML Data with Heterogeneous DTDs. CIKM 2001: 151-158 - 2000
- [c10]Euna Jeong, Chun-Nan Hsu:
Ontology Integration in XML. AAAI/IAAI 2000: 1077 - [c9]Euna Jeong, Chun-Nan Hsu:
Ontology Integration in XML. AAAI 2000: 1105 - [c8]Chun-Nan Hsu, Hung-Ju Huang, Tzu-Tsung Wong:
Why Discretization Works for Naive Bayesian Classifiers. ICML 2000: 399-406 - 1998
- [c7]Dietrich Schuschel, Chun-Nan Hsu:
A weight analysis-based wrapper approach to neural nets feature subset selection. ICTAI 1998: 89-96 - 1996
- [c6]Chun-Nan Hsu, Craig A. Knoblock:
Discovering Robust Knowledge from Dynamic Closed World Data. AAAI/IAAI, Vol. 1 1996: 820-827 - 1995
- [c5]Chun-Nan Hsu, Craig A. Knoblock:
Estimating the Robustness of Discovered Knowledge. KDD 1995: 156-161 - 1994
- [c4]Craig A. Knoblock, Yigal Arens, Chun-Nan Hsu:
Cooperating Agents for Information Retrieval. CoopIS 1994: 122-133 - [c3]Chun-Nan Hsu, Craig A. Knoblock:
Rule Induction for Semantic Query Optimization. ICML 1994: 112-120 - [c2]Chun-Nan Hsu, Craig A. Knoblock:
Rule Induction for Semantic Query Optimization. KDD Workshop 1994: 311-322 - 1993
- [c1]Chun-Nan Hsu, Craig A. Knoblock:
Reformulating Query Plans for Multidatabase Systems. CIKM 1993: 423-432
Parts in Books or Collections
- 1996
- [p1]Chun-Nan Hsu, Craig A. Knoblock:
Using Inductive Learning To Generate Rules for Semantic Query Optimization. Advances in Knowledge Discovery and Data Mining 1996: 425-445
Editorship
- 2011
- [e1]Chun-Nan Hsu, Wee Sun Lee:
Proceedings of the 3rd Asian Conference on Machine Learning, ACML 2011, Taoyuan, Taiwan, November 13-15, 2011. JMLR Proceedings 20, JMLR.org 2011 [contents]
Informal and Other Publications
- 2023
- [i13]Zexue He, An Yan, Amilcare Gentili, Julian J. McAuley, Chun-Nan Hsu:
"Nothing Abnormal": Disambiguating Medical Reports via Contrastive Knowledge Infusion. CoRR abs/2305.08300 (2023) - [i12]An Yan, Yu Wang, Yiwu Zhong, Zexue He, Petros Karypis, Zihan Wang, Chengyu Dong, Amilcare Gentili, Chun-Nan Hsu, Jingbo Shang, Julian J. McAuley:
Robust and Interpretable Medical Image Classifiers via Concept Bottleneck Models. CoRR abs/2310.03182 (2023) - [i11]Zexue He, Yu Wang, An Yan, Yao Liu, Eric Y. Chang, Amilcare Gentili, Julian J. McAuley, Chun-Nan Hsu:
MedEval: A Multi-Level, Multi-Task, and Multi-Domain Medical Benchmark for Language Model Evaluation. CoRR abs/2310.14088 (2023) - 2022
- [i10]Jiacheng Li, Yannis Katsis, Tyler Baldwin, Ho-Cheol Kim, Andrew Bartko, Julian J. McAuley, Chun-Nan Hsu:
Representing Knowledge by Spans: A Knowledge-Enhanced Model for Information Extraction. CoRR abs/2208.09625 (2022) - 2021
- [i9]An Yan, Zexue He, Xing Lu, Jiang Du, Eric Y. Chang, Amilcare Gentili, Julian J. McAuley, Chun-Nan Hsu:
Weakly Supervised Contrastive Learning for Chest X-Ray Report Generation. CoRR abs/2109.12242 (2021) - [i8]William P. Hogan, Molly Huang, Yannis Katsis, Tyler Baldwin, Ho-Cheol Kim, Yoshiki Vazquez-Baeza, Andrew Bartko, Chun-Nan Hsu:
Abstractified Multi-instance Learning (AMIL) for Biomedical Relation Extraction. CoRR abs/2110.12501 (2021) - 2020
- [i7]Chun-Nan Hsu, Chia-Hui Chang, Thamolwan Poopradubsil, Amanda Lo, Karen A. William, Ko-Wei Lin, Anita E. Bandrowski, Ibrahim Burak Özyurt, Jeffrey S. Grethe, Maryann E. Martone:
Antibody Watch: Text Mining Antibody Specificity from the Literature. CoRR abs/2008.01937 (2020) - [i6]Jianmo Ni, Chun-Nan Hsu, Amilcare Gentili, Julian J. McAuley:
Learning Visual-Semantic Embeddings for Reporting Abnormal Findings on Chest X-rays. CoRR abs/2010.02467 (2020) - [i5]Canlin Zhang, Yannis Katsis, Yoshiki Vazquez-Baeza, Andrew Bartko, Ho-Cheol Kim, Chun-Nan Hsu:
Theoretical Knowledge Graph Reasoning via Ending Anchored Rules. CoRR abs/2011.06174 (2020) - 2018
- [i4]Tsung-Ting Kuo, Jina Huh, Jihoon Kim, Robert E. El-Kareh, Siddharth Singh, Stephanie Feudjio Feupe, Vincent Kuri, Gordon Lin, Michele E. Day, Lucila Ohno-Machado, Chun-Nan Hsu:
The Impact of Automatic Pre-annotation in Clinical Note Data Element Extraction - the CLEAN Tool. CoRR abs/1808.03806 (2018) - 2017
- [i3]Sanjeev Shenoy, Tsung-Ting Kuo, Rodney A. Gabriel, Julian J. McAuley, Chun-Nan Hsu:
Deduplication in a massive clinical note dataset. CoRR abs/1704.05617 (2017) - [i2]Chun-Nan Hsu, Anita E. Bandrowski, Jeffrey S. Grethe, Maryann E. Martone:
Assessing value of biomedical digital repositories. PeerJ Prepr. 5: e2688 (2017) - [i1]Shitij Bhargava, Tsung-Ting Kuo, Ankit Goyal, Vincent Kuri, Gordon Lin, Chun-Nan Hsu:
bioPDFX: preparing PDF scientific articles for biomedical text mining. PeerJ Prepr. 5: e2993 (2017)
Coauthor Index
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Citation data
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load citations from opencitations.net
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OpenAlex data
Load additional information about publications from 
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last updated on 2024-05-13 22:55 CEST by the dblp team
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