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2020 – today
- 2024
- [j40]Jiawen Li
, Ronghui Li
, Shiwen Ni, Hung-Yu Kao
:
EPRD: Exploiting prior knowledge for evidence-providing automatic rumor detection. Neurocomputing 563: 126935 (2024) - [j39]Ying-Jia Lin, Ching-Shan Tseng, Hung-Yu Kao:
Relation-Aware Image Captioning with Hybrid-Attention for Explainable Visual Question Answering. J. Inf. Sci. Eng. 40(3): 649-659 (2024) - [j38]Shiwen Ni
, Hung-Yu Kao
:
Masked Siamese Prompt Tuning for Few-Shot Natural Language Understanding. IEEE Trans. Artif. Intell. 5(2): 624-633 (2024) - [j37]Irwan Setiawan
, Hung-Yu Kao
:
SUSTEM: An Improved Rule-based Sundanese Stemmer. ACM Trans. Asian Low Resour. Lang. Inf. Process. 23(6): 77 (2024) - [j36]Shiwen Ni
, Jiawen Li
, Min Yang
, Hung-Yu Kao
:
DropAttack: A Random Dropped Weight Attack Adversarial Training for Natural Language Understanding. IEEE ACM Trans. Audio Speech Lang. Process. 32: 364-373 (2024) - [j35]Reinald Adrian Pugoy
, Hung-Yu Kao
:
NEAR: Non-Supervised Explainability Architecture for Accurate Review-Based Collaborative Filtering. IEEE Trans. Knowl. Data Eng. 36(2): 750-765 (2024) - [c87]Ying-Jia Lin, Chun-Yi Lin, Chia-Jen Yeh, Yi-Ting Li, Yun-Yu Hu, Chih-Hao Hsu, Mei-Feng Lee, Hung-Yu Kao:
CFEVER: A Chinese Fact Extraction and VERification Dataset. AAAI 2024: 18626-18634 - [c86]Yi-Ting Li, Ying-Jia Lin, Chia-Jen Yeh, Chun-Yi Lin, Hung-Yu Kao:
GViG: Generative Visual Grounding Using Prompt-Based Language Modeling for Visual Question Answering. PAKDD (6) 2024: 83-94 - [c85]Chi-Min Chiu, Ying-Jia Lin, Hung-Yu Kao:
Contrastive Learning for Unsupervised Sentence Embedding with False Negative Calibration. PAKDD (3) 2024: 290-301 - [c84]Yu-an Lu, Hung-Yu Kao:
0x.Yuan at SemEval-2024 Task 2: Agents Debating can reach consensus and produce better outcomes in Medical NLI task. SemEval@NAACL 2024: 305-310 - [c83]Yu-an Lu, Hung-Yu Kao:
0x.Yuan at SemEval-2024 Task 5: Enhancing Legal Argument Reasoning with Structured Prompts. SemEval@NAACL 2024: 385-390 - [c82]Kuan-Hung Kuo
, Ming-Hung Wang
, Hung-Yu Kao
, Yu-Chen Dai
:
Advancing Stance Detection of Political Fan Pages: A Multimodal Approach. WWW (Companion Volume) 2024: 702-705 - [i15]Ying-Jia Lin, Chun-Yi Lin, Chia-Jen Yeh, Yi-Ting Li, Yun-Yu Hu, Chih-Hao Hsu, Mei-Feng Lee, Hung-Yu Kao:
CFEVER: A Chinese Fact Extraction and VERification Dataset. CoRR abs/2402.13025 (2024) - [i14]Ching-Wen Yang, Che Wei Chen, Kun-da Wu, Hao Xu, Jui-Feng Yao, Hung-Yu Kao:
MAPLE: Enhancing Review Generation with Multi-Aspect Prompt LEarning in Explainable Recommendation. CoRR abs/2408.09865 (2024) - 2023
- [j34]Yudianto Sujana
, Hung-Yu Kao
:
LiDA: Language-Independent Data Augmentation for Text Classification. IEEE Access 11: 10894-10901 (2023) - [j33]Shiwen Ni
, Hung-Yu Kao
:
KPT++: Refined knowledgeable prompt tuning for few-shot text classification. Knowl. Based Syst. 274: 110647 (2023) - [j32]Ying-Jia Lin
, Kuan-Yu Chen, Hung-Yu Kao
:
LAD: Layer-Wise Adaptive Distillation for BERT Model Compression. Sensors 23(3): 1483 (2023) - [c81]Tzu-Hsuan Chou, Chun-Yi Lin, Hung-Yu Kao:
Advancing Multi-Criteria Chinese Word Segmentation Through Criterion Classification and Denoising. ACL (1) 2023: 6460-6476 - [c80]Yu-Hsuan Wu, Ying-Jia Lin, Hung-Yu Kao:
IKM_Lab at BioLaySumm Task 1: Longformer-based Prompt Tuning for Biomedical Lay Summary Generation. BioNLP@ACL 2023: 602-610 - [c79]Che Chen, Ching Yang, Chun-Yi Lin, Hung-Yu Kao:
Breaking Boundaries in Retrieval Systems: Unsupervised Domain Adaptation with Denoise-Finetuning. EMNLP (Findings) 2023: 1630-1642 - [c78]Hsiu-Wen Li, Ying-Jia Lin, Yi-Ting Li, Chun Lin, Hung-Yu Kao:
Improved Unsupervised Chinese Word Segmentation Using Pre-trained Knowledge and Pseudo-labeling Transfer. EMNLP 2023: 9109-9118 - [c77]Chun Lin, Ying-Jia Lin, Chia-Jen Yeh, Yi-Ting Li, Ching Yang, Hung-Yu Kao:
Improving Multi-Criteria Chinese Word Segmentation through Learning Sentence Representation. EMNLP (Findings) 2023: 12756-12763 - [c76]Chien-Liang Liu, Hung-Yu Kao:
CopyCAT: Masking Strategy Conscious Augmented Text for Machine Generated Text Detection. PAKDD (1) 2023: 367-379 - [c75]Yu-Hsuan Wu, Chi-Min Chiu, Hung-Yu Kao:
Lay Summarization of Biomedical Documents with Discourse Structure-Based Prompt Tuning. TAAI (1) 2023: 314-328 - 2022
- [j31]Shiwen Ni
, Jiawen Li
, Hung-Yu Kao
:
HAT4RD: Hierarchical Adversarial Training for Rumor Detection in Social Media. Sensors 22(17): 6652 (2022) - [c74]Ying-Jia Lin, Yu-Fang Chang, Hung-Yu Kao, Hsin-Yang Wang, Mu Liu:
Few-shot Text Classification with Saliency-equivalent Concatenation. AIKE 2022: 74-81 - [c73]Shiwen Ni, Jiawen Li, Hung-Yu Kao:
R-AT: Regularized Adversarial Training for Natural Language Understanding. EMNLP (Findings) 2022: 6427-6440 - [c72]Jhen-Yi Wu, Ying-Jia Lin, Hung-Yu Kao:
Unsupervised Single Document Abstractive Summarization using Semantic Units. AACL/IJCNLP (1) 2022: 954-966 - [c71]Ching-Shan Tseng, Ying-Jia Lin, Hung-Yu Kao:
Relation-Aware Image Captioning for Explainable Visual Question Answering. TAAI 2022: 149-154 - [i13]Shiwen Ni, Hung-Yu Kao:
ELECTRA is a Zero-Shot Learner, Too. CoRR abs/2207.08141 (2022) - 2021
- [j30]Shiwen Ni
, Jiawen Li
, Hung-Yu Kao:
MVAN: Multi-View Attention Networks for Fake News Detection on Social Media. IEEE Access 9: 106907-106917 (2021) - [c70]Jiawen Li, Shiwen Ni, Hung-Yu Kao:
Meet The Truth: Leverage Objective Facts and Subjective Views for Interpretable Rumor Detection. ACL/IJCNLP (Findings) 2021: 705-715 - [c69]Reinald Adrian Pugoy
, Hung-Yu Kao:
Unsupervised Extractive Summarization-Based Representations for Accurate and Explainable Collaborative Filtering. ACL/IJCNLP (1) 2021: 2981-2990 - [c68]Shiwen Ni, Jiawen Li, Hung-Yu Kao:
True or False: Does the Deep Learning Model Learn to Detect Rumors? TAAI 2021: 119-124 - [i12]Jiawen Li, Shiwen Ni, Hung-Yu Kao:
Meet The Truth: Leverage Objective Facts and Subjective Views for Interpretable Rumor Detection. CoRR abs/2107.10747 (2021) - [i11]Shiwen Ni, Jiawen Li, Hung-Yu Kao:
DropAttack: A Masked Weight Adversarial Training Method to Improve Generalization of Neural Networks. CoRR abs/2108.12805 (2021) - [i10]Shiwen Ni, Jiawen Li, Hung-Yu Kao:
Rumor Detection on Social Media with Hierarchical Adversarial Training. CoRR abs/2110.00425 (2021) - [i9]Shiwen Ni, Jiawen Li, Hung-Yu Kao:
True or False: Does the Deep Learning Model Learn to Detect Rumors? CoRR abs/2112.00245 (2021) - 2020
- [j29]Jiawen Li
, Shiwen Ni
, Hung-Yu Kao:
Birds of a Feather Rumor Together? Exploring Homogeneity and Conversation Structure in Social Media for Rumor Detection. IEEE Access 8: 212865-212875 (2020) - [c67]Kai-Chou Yang, Hung-Yu Kao:
Generalize Sentence Representation with Self-Inference. AAAI 2020: 9394-9401 - [c66]Shiwen Ni, Hung-Yu Kao:
PSForest: Improving Deep Forest via Feature Pooling and Error Screening. ACML 2020: 769-781 - [c65]Ying-Jia Lin
, Daniel Tan, Tzu-Hsuan Chou, Hung-Yu Kao, Hsin-Yang Wang:
Knowledge Distillation on Extractive Summarization. AIKE 2020: 71-76 - [c64]Timothy Niven, Hung-Yu Kao, Hsin-Yang Wang:
Profiling Spreaders of Disinformation on Twitter: IKMLab and Softbank Submission. CLEF (Working Notes) 2020 - [c63]Jiawen Li, Yudianto Sujana
, Hung-Yu Kao:
Exploiting Microblog Conversation Structures to Detect Rumors. COLING 2020: 5420-5429 - [c62]Yudianto Sujana, Jiawen Li, Hung-Yu Kao:
Rumor Detection on Twitter Using Multiloss Hierarchical BiLSTM with an Attenuation Factor. AACL/IJCNLP 2020: 18-26 - [c61]Reinald Adrian Pugoy, Hung-Yu Kao:
BERT-Based Neural Collaborative Filtering and Fixed-Length Contiguous Tokens Explanation. AACL/IJCNLP 2020: 143-153 - [c60]Yu-Yun Wang, Jhen-Yi Wu, Tzu-Hsuan Chou, Ying-Jia Lin, Hung-Yu Kao:
Enhance Content Selection for Multi-Document Summarization with Entailment Relation. TAAI 2020: 119-124 - [i8]Yudianto Sujana, Jiawen Li, Hung-Yu Kao:
Rumor Detection on Twitter Using Multiloss Hierarchical BiLSTM with an Attenuation Factor. CoRR abs/2011.00259 (2020)
2010 – 2019
- 2019
- [j28]TonTon Hsien-De Huang
, Hung-Yu Kao:
C-3PO: Click-sequence-aware deeP neural network (DNN)-based Pop-uPs recOmmendation - I know you'll click. Soft Comput. 23(22): 11793-11799 (2019) - [c59]Timothy Niven, Hung-Yu Kao:
Probing Neural Network Comprehension of Natural Language Arguments. ACL (1) 2019: 4658-4664 - [c58]Timothy Niven, Hung-Yu Kao:
Detecting Argumentative Discourse Acts with Linguistic Alignment. ArgMining@ACL 2019: 104-112 - [c57]Chi-An Wei, Hung-Yu Kao:
基於有向圖與爭論導向摘要的網路辯論之爭論元素辨識(Identifying Argument Components in Online Debates through Directed Graph and Argument-oriented Summarization). ROCLING 2019: 378-387 - [i7]Kai-Chou Yang, Timothy Niven, Hung-Yu Kao:
Fake News Detection as Natural Language Inference. CoRR abs/1907.07347 (2019) - [i6]Timothy Niven, Hung-Yu Kao:
Probing Neural Network Comprehension of Natural Language Arguments. CoRR abs/1907.07355 (2019) - 2018
- [c56]TonTon Hsien-De Huang, Hung-Yu Kao:
R2-D2: ColoR-inspired Convolutional NeuRal Network (CNN)-based AndroiD Malware Detections. IEEE BigData 2018: 2633-2642 - [c55]Tim Niven, Hung-Yu Kao:
NLITrans at SemEval-2018 Task 12: Transfer of Semantic Knowledge for Argument Comprehension. SemEval@NAACL-HLT 2018: 1099-1103 - [i5]TonTon Hsien-De Huang, Hung-Yu Kao:
C-3PO: Click-sequence-aware DeeP Neural Network (DNN)-based Pop-uPs RecOmmendation. CoRR abs/1803.00458 (2018) - [i4]Tim Niven, Hung-Yu Kao:
NLITrans at SemEval-2018 Task 12: Transfer of Semantic Knowledge for Argument Comprehension. CoRR abs/1804.08266 (2018) - [i3]TonTon Hsien-De Huang, Po-Wei Hong, Ying-Tse Lee, Yi-Lun Wang, Chi-Leong Lok, Hung-Yu Kao:
SOC: hunting the underground inside story of the ethereum Social-network Opinion and Comment. CoRR abs/1811.11136 (2018) - 2017
- [j27]Guan-Bin Chen, Hung-Yu Kao:
Word co-occurrence augmented topic model in short text. Intell. Data Anal. 21(S1): S55-S70 (2017) - [j26]Chang-Shing Lee
, Hung-Yu Kao:
Special issue on soft computing for knowledge management and web applications. Soft Comput. 21(2): 281-282 (2017) - [j25]Shyue-Liang Wang, Yu-Chuan Tsai
, Tzung-Pei Hong
, Hung-Yu Kao:
k--anonymization of multiple shortest paths. Soft Comput. 21(15): 4215-4226 (2017) - [c54]Hsin-Chun Lee, Hung-Yu Kao:
CDRnN: A high performance chemical-disease recognizer in biomedical literature. BIBM 2017: 374-379 - [c53]Yi-Chin Chen, Zhao-Yang Liu, Hung-Yu Kao:
IKM at SemEval-2017 Task 8: Convolutional Neural Networks for stance detection and rumor verification. SemEval@ACL 2017: 465-469 - [c52]TonTon Hsien-De Huang, Chia-Mu Yu, Hung-Yu Kao:
Data-Driven and Deep Learning Methodology for Deceptive Advertising and Phone Scams Detection. TAAI 2017: 166-171 - [i2]Hsien-De Huang, Chia-Mu Yu, Hung-Yu Kao:
R2-D2: ColoR-inspired Convolutional NeuRal Network (CNN)-based AndroiD Malware Detections. CoRR abs/1705.04448 (2017) - [i1]TonTon Hsien-De Huang, Chia-Mu Yu, Hung-Yu Kao:
Data-Driven and Deep Learning Methodology for Deceptive Advertising and Phone Scams Detection. CoRR abs/1710.05305 (2017) - 2016
- [j24]Hsin-Chun Lee, Yi-Yu Hsu, Hung-Yu Kao:
AuDis: an automatic CRF-enhanced disease normalization in biomedical text. Database J. Biol. Databases Curation 2016 (2016) - [e4]Chung-Hsien Wu, Yuen-Hsien Tseng, Hung-Yu Kao, Lun-Wei Ku, Yu Tsao, Shih-Hung Wu:
Proceedings of the 28th Conference on Computational Linguistics and Speech Processing, ROCLING 2016, National Cheng Kung University, Tainan, Taiwan, October 6-7, 2015. Association for Computational Linguistics and Chinese Language Processing (ACLCLP), Taiwan 2016, ISBN 978-957-30792-9-3 [contents] - 2015
- [j23]Yu-Chuan Tsai
, Shyue-Liang Wang, Hung-Yu Kao, Tzung-Pei Hong
:
Edge types vs privacy in K-anonymization of shortest paths. Appl. Soft Comput. 31: 348-359 (2015) - [j22]Guan-Bin Chen, Hung-Yu Kao:
Word Co-occurrence Augmented Topic Model in Short Text. Int. J. Comput. Linguistics Chin. Lang. Process. 20(2) (2015) - [j21]Yi-Yu Hsu, Hung-Yu Kao:
Curatable Named-Entity Recognition Using Semantic Relations. IEEE ACM Trans. Comput. Biol. Bioinform. 12(4): 785-792 (2015) - [c51]Guan-Bin Chen, Hung-Yu Kao:
Re-organized Topic Modeling for Micro-blogging Data. ASE BD&SI 2015: 35:1-35:8 - [c50]Ji-De Chen, Hung-Yu Kao:
LDA based semi-supervised learning from streaming short text. DSAA 2015: 1-8 - [c49]Yu-Chuan Tsai
, Shyue-Liang Wang, Tzung-Pei Hong
, Hung-Yu Kao:
Extending [K 1 , K 2 ] Anonymization of Shortest Paths for Social Networks. MISNC 2015: 187-199 - [c48]Guan-Bin Chen, Hung-Yu Kao:
Word Co-occurrence Augmented Topic Model in Short Text. ROCLING 2015 - [c47]Shih-Ting Huang, Pei-Shu Li, Hung-Yu Kao:
Identification of item features in microblogging data. TAAI 2015: 396-403 - [e3]Sin-Horng Chen, Hsin-Min Wang, Jen-Tzung Chien, Hung-Yu Kao, Wen-Whei Chang, Yih-Ru Wang, Shih-Hung Wu:
Proceedings of the 27th Conference on Computational Linguistics and Speech Processing, ROCLING 2015, National Chiao Tung University, Hsinchu, Taiwan, October 1-2, 2015. Association for Computational Linguistics and Chinese Language Processing (ACLCLP), Taiwan 2015, ISBN 978-957-30792-8-6 [contents] - 2014
- [j20]Shyue-Liang Wang, Yu-Chuan Tsai
, Hung-Yu Kao, Tzung-Pei Hong
:
On anonymizing transactions with sensitive items. Appl. Intell. 41(4): 1043-1058 (2014) - [j19]Yi-Tsung Tang, Hung-Yu Kao, Shaw-Jenq Tsai
, Hei-Chia Wang:
A semi-supervised, weighted pattern-learning approach for extraction of gene regulation relationships from scientific literature. Int. J. Data Min. Bioinform. 9(4): 401-416 (2014) - [j18]Yang-Jui Chang, Yu-Chuan Tsai, Hung-Yu Kao:
Bipartite Editing Prediction in Wikipedia. J. Inf. Sci. Eng. 30(3): 587-603 (2014) - [j17]Hsien-De Huang, Chang-Shing Lee
, Mei-Hui Wang, Hung-Yu Kao:
IT2FS-based ontology with soft-computing mechanism for malware behavior analysis. Soft Comput. 18(2): 267-284 (2014) - [j16]Yi-Yu Hsu, Wei-Jhih Chen, Shu Hui Chen, Hung-Yu Kao:
Using hidden Markov models to predict DNA-binding proteins with sequence and structure information. Soft Comput. 18(12): 2365-2376 (2014) - [j15]Jui-Chen Hsiao, Chih-Hsuan Wei
, Hung-Yu Kao:
Gene Name Disambiguation UsingMulti-Scope Species Detection. IEEE ACM Trans. Comput. Biol. Bioinform. 11(1): 55-62 (2014) - [c46]Chih-Lu Lin, Ying-Liang Chen, Hung-Yu Kao:
Question difficulty evaluation by knowledge gap analysis in Question Answer communities. ASONAM 2014: 336-339 - [c45]Chih-Hsuan Wei, Hung-Yu Kao, Zhiyong Lu:
Text mining tools for assisting literature curation. BCB 2014: 590-591 - [c44]Zong-Hua Yang, Hung-Yu Kao:
User preference space partition and product filters for reverse top-k queries. DSAA 2014: 498-504 - [c43]Yu-Chuan Tsai
, Shyue-Liang Wang, Tzung-Pei Hong
, Hung-Yu Kao:
[K1, K2]-anonymization of Shortest Paths. MoMM 2014: 317-321 - [c42]Ming-Chu Chen, Hung-Yu Kao:
Latent Features Based Prediction on New Users' Tastes. PAKDD (1) 2014: 176-187 - [c41]Cheng-Huang Yang, Ji-De Chen, Hung-Yu Kao:
Competition Component Identification on Twitter. PAKDD Workshops 2014: 584-595 - [e2]Vincent S. Tseng, Tu Bao Ho, Zhi-Hua Zhou, Arbee L. P. Chen, Hung-Yu Kao:
Advances in Knowledge Discovery and Data Mining - 18th Pacific-Asia Conference, PAKDD 2014, Tainan, Taiwan, May 13-16, 2014. Proceedings, Part I. Lecture Notes in Computer Science 8443, Springer 2014, ISBN 978-3-319-06607-3 [contents] - [e1]Vincent S. Tseng, Tu Bao Ho, Zhi-Hua Zhou, Arbee L. P. Chen, Hung-Yu Kao:
Advances in Knowledge Discovery and Data Mining - 18th Pacific-Asia Conference, PAKDD 2014, Tainan, Taiwan, May 13-16, 2014. Proceedings, Part II. Lecture Notes in Computer Science 8444, Springer 2014, ISBN 978-3-319-06604-2 [contents] - 2013
- [j14]Yi-Yu Hsu, Hung-Yu Kao:
CoIN: a network analysis for document triage. Database J. Biol. Databases Curation 2013 (2013) - [j13]Chih-Hsuan Wei
, Bethany R. Harris, Hung-Yu Kao, Zhiyong Lu:
tmVar: a text mining approach for extracting sequence variants in biomedical literature. Bioinform. 29(11): 1433-1439 (2013) - [j12]Hei-Chia Wang, Tock-Kheng Kooi, Hung-Yu Kao, Shih Chieh Lin
, Shaw-Jenq Tsai
:
Using positive and negative patterns to extract information from journal articles regarding the regulation of a target gene by a transcription factor. Comput. Biol. Medicine 43(12): 2214-2221 (2013) - [j11]Chih-Hsuan Wei
, Hung-Yu Kao:
Unsupervised corpus distillation for represented indicator measurement on focus species detection. Int. J. Data Min. Bioinform. 8(4): 413-426 (2013) - [j10]Shyue-Liang Wang, Yu-Chuan Tsai
, Hung-Yu Kao, I-Hsien Ting, Tzung-Pei Hong
:
Shortest Paths Anonymization on Weighted Graphs. Int. J. Softw. Eng. Knowl. Eng. 23(1): 65-80 (2013) - [j9]Wen-Teng Yang, Hung-Yu Kao:
Measuring Semantic Relatedness using Wikipedia Signed Network. J. Inf. Sci. Eng. 29(4): 615-630 (2013) - [j8]Chih-Hsuan Wei
, Hung-Yu Kao, Zhiyong Lu:
PubTator: a web-based text mining tool for assisting biocuration. Nucleic Acids Res. 41(Webserver-Issue): 518-522 (2013) - [c40]Jiun-Yuan Wang, Hung-Yu Kao:
RSOL: A Trust-Based Recommender System with an Opinion Leadership Measurement for Cold Start Users. AIRS 2013: 500-512 - [c39]Yu-Wen Guo, Hung-Yu Kao:
Genealogical-based method for ontology self-extension in MeSH. BIBM 2013: 428-433 - [c38]Yen-Jen Tai, Hung-Yu Kao:
Automatic Domain-Specific Sentiment Lexicon Generation with Label Propagation. iiWAS 2013: 53 - [c37]Yi-Ting Chen, Hung-Yu Kao:
Up or Down? Click-Through Rate Prediction from Social Intention for Search Advertising. iiWAS 2013: 102 - [c36]Yi-Ting Chen, Hung-Yu Kao:
Constructing Social Intentional Corpora to Predict Click-Through Rate for Search Advertising. ROCLING 2013 - [c35]Hsien-De Huang, Chang-Shing Lee
, Mei-Hui Wang, Hung-Yu Kao:
An IT2FLS-Based Malware Analysis Mechanism: Malware Analysis Network in Taiwan (MiT). SMC 2013: 4652-4657 - [c34]Yi-Xian Lin, Hung-Yu Kao:
An Adaptive Page Clustering Based Weighting Method for Information Retrieval. TAAI 2013: 199-204 - [p1]Hsien-De Huang, Giovanni Acampora, Vincenzo Loia, Chang-Shing Lee, Hani Hagras, Mei-Hui Wang, Hung-Yu Kao, Jee-Gong Chang:
Fuzzy Markup Language for Malware Behavioral Analysis. On the Power of Fuzzy Markup Language 2013: 113-132 - 2012
- [j7]Chih-Hsuan Wei
, Bethany R. Harris, Donghui Li
, Tanya Z. Berardini
, Eva Huala
, Hung-Yu Kao, Zhiyong Lu:
Accelerating literature curation with text-mining tools: a case study of using PubTator to curate genes in PubMed abstracts. Database J. Biol. Databases Curation 2012 (2012) - [c33]Yu-Chuan Tsai
, Shyue-Liang Wang, Hung-Yu Kao, Tzung-Pei Hong
:
Confining Edge Types in K-anonymization of Shortest Paths. IBICA 2012: 318-322 - [c32]Hsien-De Huang, Chang-Shing Lee
, Hani Hagras
, Hung-Yu Kao:
TWMAN+: A Type-2 fuzzy ontology model for malware behavior analysis. SMC 2012: 2821-2826 - [c31]Yang-Jui Chang, Hung-Yu Kao:
Link Prediction in a Bipartite Network Using Wikipedia Revision Information. TAAI 2012: 50-55 - [c30]Zong-Hua Yang, Hung-Yu Kao:
Location Time-Series Clustering on Optimal Sensor Arrangement. TAAI 2012: 113-118 - [c29]Yau-Hwang Kuo, Vincent Shin-Mu Tseng, Hung-Yu Kao, Tzung-Pei Hong
, Mong-Fong Horng:
TAAI 2012 Preface. TAAI 2012: xi - [c28]Yu-Fan Lin, Hung-Yu Kao:
The Retrieval of Important News Stories by Influence Propagation among Communities and Categories. Web Intelligence 2012: 32-39 - 2011
- [j6]Hei-Chia Wang, Yi-Hsiu Chen, Hung-Yu Kao, Shaw-Jenq Tsai
:
Inference of transcriptional regulatory network by bootstrapping patterns. Bioinform. 27(10): 1422-1428 (2011) - [j5]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