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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 - [i14]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) - 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, 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) - [j4]Chih-Hsuan Wei, Hung-Yu Kao:
Cross-species gene normalization by species inference.