會議論文

Conference papers

  • Yang, T.-H., Lu, C.-C., Hsu, W.-L., “A Preliminary Step in the Interdisciplinary Integration: Use AI to Demonstrate how to Combine History and Mathematics,” 5th International Conference on Education and E-Learning (ICEEL), Tsuru University, Japan, November 5-7, 2021.
  • Yang, T.-H., Lu, C.-C., Hsu, W.-L, “More than Extracting “Important” Sentences: the Application of PEGASUS,” 6th International Conference on Technologies and Applications of Artificial Intelligence (TAAI), Taichung, Taiwan, November 18-21, 2021.
  • Yang, T.-H., Lu, C.-C., Hsu, W.-L., “On Adjusting the Order of Teaching Units in Elementary School Mathematics Textbooks with LSA Results,” 13th Asian Conference on Education (ACE), Tokyo, Japan. November 25-28, 2021.
  • Yang, T.-H., Lu, C.-C., Hsu, W.-L.,”Your Crimson Love Letter and My Fist of Blue Sapphire: A System Implemented for Adaptive Learning in Mathematics Education,” 4th International Conference on Future Learning (ICFL), Tokyo, Japan, December 17-19, 2021.
  • Yu-Ting Chen, Zheng-Wen Lin, Yung-Chun Chang, Wen-Lian Hsu, “KIDER: Knowledge-Infused Document Embedding Representation for Text Categorization,” in proceeding of the 33th International Conference on Industrial, Engineering & Other Applications of Applied Intelligent Systems, 2020.
  • Yu-Lun Hsieh, Minhao Cheng, Da-Cheng Juan, Wei Wei, Wen-Lian Hsu, Cho-Jui Hsieh, “On the Robustness of Self-Attentive Models,” the 57th Annual Meeting of Association for Computational Linguistics, Florence, Italy, July 2019.[poster]
  • 張詠淳, 葉文照, 謝育倫, 許聞廉, “MONPA: 多目標中文命名實體辨識與詞性標註系統,” in proceeding of the 2019 Conference on Technologies and Applications of Artificial Intelligence (TAAI 2019), 2019.
  • Jen-Hung Wang, Tung-Shing Mamie Lih, Wai-Kok Choong, Wen-Lian Hsu, Ting-Yi Sung, “Evaluating the possibility of misinterpreting MS/MS spectra caused by isobaric substitutions: a case study on human missing proteins,” 66th ASMS Conference on Mass Spectrometry and Allied Topics, June 2018.
  • Neha Warikoo, Yung-Chun Chang, Hong-Jie Dai, and Wen-Lian Hsu, “An Ensemble Neural Network Model for Benefiting Pregnancy Health Stats from Mining Social Media,” The Asia Information Retrieval Societies Conference 2018, volume 11292, Springer International Publishing, January 2018.
  • Yung-Chun Chang, Yu-Lun Hsieh, Wen-Lian Hsu, “CIAL at the NTCIR-13 STC-2 Task”, the 13th NII Testbeds and Community for Information access Research (NTCIR 2017), Japan, December, 2017. [poster]
  • Yu-Lun Hsieh, Yung-Chun Chang, Yi-Jie Huang, Shu-Hao Yeh, Chun-Hung Chen and Wen-Lian Hsu, MONPA: Multi-objective Named-entity and Part-of-speech Annotator for Chinese using Recurrent Neural Network,” to appear in The 8th International Joint Conference on Natural Language Processing (IJCNLP 2017).
  • Yu-Lun Hsieh, Yung-Chun Chang, Nai-Wen Chang and Wen-Lian Hsu, “Identifying Protein-protein Interactions in Biomedical Literature using Recurrent Neural Networks with Long Short-Term Memory,” to appear in The 8th International Joint Conference on Natural Language Processing (IJCNLP 2017).
  • Nai-Wen Chang, Hong-Jie Dai, Yu-Lun Hsieh, Wen-Lian Hsu, “Statistical Principle-Based Approach for Detecting miRNA-Target Gene Interaction Articles,” 2016 IEEE 16th International Conference, 31 Oct.-2 Nov. 2016.
  • Po-Ting Lai, Ming-Siang Huang, Chu-Hsien Su, Richard TzongHan Tsai, Wen-Lian Hsu, “Statistical Principle-based Approach for Gene and Protein Related Object Recognition,” in Proceedings of the BioCreative V.5 Challenge Evaluation Workshop, pages 115-121, April 2017.
  • Yung-Chun Chang, Chin-Shun Chou, Yang Zhang, Xi Wang, and Wen-Lian Hsu, ““Sentiment Analysis of Chinese Microblog Message Using Neural Network-based Vector Representation for Measuring Regional Prejudice,” The 20th Pacific Asia Conference on Information Systems (PACIS 2016), June 2016.
  • Shih-Hung Liu, Kuan-Yu Chen, Yu-Lun Hsieh, Berlin Chen, Hsin-Min Wang, Hsu-Chun Yen and Wen-Lian Hsu, “Exploiting Graph Regularized Nonnegative Matrix Factorization for Extractive Speech Summarization,” APSIPA Annual Summit and Conference (APSIPA ASC 2016), December 2016.
  • Yu-Lun Hsieh, Yung-Chun Chang, Chun-Han Chu, and Wen-Lian Hsu, “How do I look? Publicity Mining from Distributed Keyword Representation of Socially Infused News Articles, The 4th International Workshop on Natural Language Processing for Social Media (SocialNLP) @ EMNLP 2016, pages 74-83, November 2016.
  • Yu-Lun Hsieh, Shih-Hung Liu, Kuan-Yu Chen, Hsin-Min Wang, Wen-Lian Hsu, and Berlin Chen, “Exploiting Sequence-to-Sequence Generation Framework for Automatic Abstractive Summarization,” The 28th ROCLING Conference on Computational Linguistics and Speech Processing (ROCLING2016), October 2016, (in Chinese)
  • Shih-Hung Liu, Kuan-Yu Chen, Yu-Lun Hsieh, Berlin Chen, Hsin-Min Wang, Hsu-Chun Yen, and Wen-Lian Hsu, “Exploring Word Mover’s Distance and Semantic-Aware Embedding Techniques for Extractive Broadcast News Summarization,” Interspeech2016, September 2016.
  • Ting Hao Yang, Yu-Lun Hsieh, You-Shan Chung, Dapi Shih, Shih-Hung Liu, Yung-Chun Chang and Wen-Lian Hsu, Principle-based Approach for Semi-automatic Construction of a Restaurant Question Answering System from Limited Datasets,” The 5th IEEE International Workshop on Empirical Methods for Recognizing Inference in Text, January 2016.
  • Chun-Han Chu, Apoorva Honnegowda Roopa, Yung-Chun Chan, and Wen-Lian Hsu, “Constructing sentiment sensitive vectors for word polarity classification,” The 2015 Conference on Technologies and Applications of Artificial Intelligence, pages 252-259, November 2015.[slides]
  • Yu-Lun Hsieh, Shih-Hung Liu, Yung-Chun Chang, and Wen-Lian Hsu, “Distributed Keyword Vector Representation for Document Categorization,” The 2015 Conference on Technologies and Applications of Artificial Intelligence (TAAI 2015), pages 245-251, November 2015. [slides]
  • Shih-Hung Liu, Hung-Shin Lee, Hsiao-Tsung Hung, Kuan-Yu Chen, Berlin Chen, Hsin-Min Wang, Hsu-Chun Yen, Wen-Lian Hsu, “Incorporating proximity information in relevance language modeling for extractive speech summarization,” 2015 APSIPA Annual Summit and Conference (APSIPA ASC 2015), Hong Kong, December 16-19, 2015.
  • Yung-Chun Chang, Zhong-Yong Chen, Chien Chin Chen, and Wen-Lian Hsu, “”Constructing Topic Person Interaction Networks Using a Tree Kernel-based Method,” 5th International Conference on Languages, Literature and Linguistics, pages 59-66, December 2015.
  • Yung-Chun Chang, Yu-Chen Su, Chun-Han Chu, Chien Chin Chen, and Wen-Lian Hsu, “Protein-protein Interaction Passage Extraction Using the Interaction Pattern Kernel Approach for the BioCreative 2015 BioC Track,” the Fifth BioCreative Challenge Evaluation Workshop, pages 10-16, September 2015.
  • Shih-Hung Liu, Kuan-Yu Chen, Berlin Chen, Hsin-Min Wang, Hsu-Chun Yen, Wen-Lian Hsu, “Positional language modeling for extractive broadcast news speech summarization,” the 16th Annual Conference of the International Speech Communication Association (Interspeech 2015), Dresden, Germany, September 6-10, 2015. [slides]
  • Yu-Lun Hsieh, Shih-Hung Liu, Yung-Chun Chang, Wen-Lian Hsu, “Neural Network-based Vector Representation of Documents for Reader-Emotion Categorization,” The 4th IEEE International Workshop on Empirical Methods for Recognizing Inference in Text, pages 569-572, August 2015. [slides]
  • Yung-Chun Chang, Cen-Chieh Chen, Yu-Lun Hsieh, Chien Chin Chen, Wen-Lian Hsu, “Linguistic Template Extraction for Recognizing Reader-Emotion and Emotional Resonance Writing Assistance,” the 53rd Annual Meeting of the Association for Computational Linguistics and the 7rd International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing (ACL-IJCNLP 2015), 775-780, (2015).
  • Yung-Chun Chang, Yu-Lun Hsieh, Cen-Chieh Chen, Chad Liu, Chun-Hung Lu, Wen-Lian Hsu, “Semantic Frame-based Statistical Approach for Topic Detection,” The 28th Pacific Asia Conference on Language, Information and Computing (PACLIC 28), Lecture Notes in Computer Science, pages 75-84, February 2015. [slides]
  • Yung-Chun Chang, Chien Chin Chen, Wen-Lian Hsu, “Discovering the interactions between persons from Chinese Topic Documents,” The 26th Conference on Computational Linguistics and Speech Processing (ROCLING 2014), August 2014.
  • Yung-Chun Chang, Yu-Chen Su, Nai-Wen Chang and Wen-Lian Hsu, “An Interaction Pattern Kernel Approach for protein-protein interaction extraction from biomedical literature,” in Proceedings of the 2014 Conference on Technologies and Applications of Artificial Intelligence (TAAI 2014), Volume 8916, pp 36-46, Lecture Notes in Artificial Intelligence. [slides]
  • Yu-Lun Hsieh, Shih-Hung Liu, Ting-Hao Yang, Yu-Hsuan Chen, Yung-Chun Chang, Chiu-Chen Hsieh, Cheng-Wei Shih, Chun-Hung Lu, Wen-Lian Hsu, “A Frame-based Approach for Reference Metadata Extraction,” in Proceedings of the2014 Conference on Technologies and Applications of Artificial Intelligence (TAAI 2014), Volume 8916 of the series Lecture Notes in Computer Science pp 154-163. [slides]
  • Shih-Hung Liu, Kuan-Yu Chen, Berlin Chen, Ea-Ee Jan, Hsin-Min Wang, Hsu-Chun Yen, Wen-Lian Hsu, “A margin-based discriminative modeling approach for extractive speech summarization,” 2014 APSIPA Annual Summit and Conference (APSIPA ASC 2014), Siem Reap, city of Angkor Wat, Cambodia, December 9-12, 2014. [poster]
  • Nai-Wen Chang, Hong-Jie Dai, Chih-Wei Chen, Jitendra Jonnagaddala, Chou-Yang Chien, Manish Kumar, Richard Tzong-Han Tsai, Wen-Lian Hsu, “TMUNSW System for Risk Factor Recognition and Progression Tracking, “Seventh i2b2 Shared Task and Workshop Challenges in Natural Language Processing for Clinical Data, Washington DC, USA, 2014. [slides]
  • Kuan-Yu Chen, Shih-Hung Liu, Berlin Chen, Ea-Ee Jan, Hsin-Min Wang, Wen-Lian Hsu, and Hsin-Hsi Chen, “Leveraging Effective Query Modeling Techniques for Speech Recognition and Summarization,” the Conference on Empirical Methods in Natural Language Processing (EMNLP 2014), Doha, Qatar, October 25–29, 2014.
  • Shih-Hung Liu, Kuan-Yu Chen, Yu-Lun Hsieh, Berlin Chen, Hsin-Min Wang, Hsu-Chun Yen, Wen-Lian Hsu, “Enhanced Language Modeling for Extractive Speech Summarization with Sentence Relatedness Information”, the 15th Annual Conference of the International Speech Communication Association (Interspeech 2014), Singapore, September 14-18, 2014.
  • Kuan-Yu Chen, Shih-Hung Liu, Berlin Chen, Hsin-Min Wang, Wen-Lian Hsu and Hsin-Hsi Chen, “A recurrent neural network language modeling framework for extractive speech summarization,” the IEEE International Conference on Multimedia & Expo (ICME 2014), Chengdu, China, July 14-18, 2014. [poster]
  • Yung-Chun Chang, Yu-Lun Hsieh, Cen-Chieh Chen, Wen-Lian Hsu, “Semantic Frame-based Natural Language Understanding for Intelligent Topic Detection Agent,” The 27th International Conference on Industrial, Engineering & Other Applications of Applied Intelligent Systems (IEA-AIE 2014), Lecture Notes in Computer Science, Springer, Volume 8481, pages 339-348, June 2014. [slides]
  • Shih-Hung Liu, Kuan-Yu Chen, Yu-Lun Hsieh, Berlin Chen, Hsin-Min Wang, Hsu-Chun Yen, Wen-Lian Hsu, “Effective pseudo-relevance feedback for language modeling in extractive speech summarization“, in Proceedings of IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Florence Italy, 2014. [poster]
  • T. Mamie Lih, Ke-Shiuan Lynn, Hui-Ying Chang, Mei-Ling Cheng, Ming-Shi Shiao, Wen-Harn Pan, Ting-Yi Sung and Wen-Lian Hsu, “Metab-ID: a software for metabolite identification from MS1 data,” 61th ASMS Conference on Mass Spectrometry and Allied Topics, (2013).
  • Hui-Yin Chang, Nai-Yuan Chiang, Chia-Feng Tsai, Ya-Wen Tsai, Yu-Ju Chen, Ting-Yi Sung and Wen-Lian Hsu, “ProtDIA-id: An automatic tool to extract MS/MS spectra for protein identification in proteomic experiments using data-independent acquisition,” 61th ASMS Conference on Mass Spectrometry and Allied Topics, (2013).
  • Wen-Lian Hsu, “A principle-based approach for natural language processing: Eliminating the shortcomings of rule-based systems with statistics,” 2013, Keynote presented at the 27th Pacific Asia Conference on Language, Information, and Computation (PACLIC), Taipei, Taiwan.[slides]
  • Yung-Chun Chang, Chien Chin Chen, and Wen-Lian Hsu, “A Composite Kernel Approach for Detecting Interactive Segments in Chinese Topic Documents,” the 9th Asia Information Retrieval Societies Conference (AIRS 2013), Lecture Notes in Computer Science, pages 215-226, December 2013. [slides]
  • Hong-Jie Dai, Chi-Yang Wu, Wei-San Lin, Richard Tzong-Han Tsai and Wen-Lian Hsu,” MarkerRIF: An Interactive Curation System for Biomarker,” Proceedings of the Fourth BioCreative Challenge Evaluation Workshop, vol. 1, 224-233, November 2013.
  • Ting-Hao Yang, Yu-Lun Hsieh, Yu-Hsuan Chen, Michael Tsang, Cheng-Wei Shih, Wen-Lian Hsu, “Sinica-IASL Chinese Spelling Check System at SIGHAN-7“, in Proceedings of The Seventh SIGHAN Workshop on Chinese Language Processing (SIGHAN-7), Nagoya, Japan, October 13, 2013.
  • Cheng-Wei Shih, Chad, Liu, Cheng-Wei Lee, Wen-Lian Hsu, “IASL RITE System at NTCIR-10”, in Proceedings of NTCIR-10 Workshop Meeting, Tokyo, Japan, June 18-21, 2013, pp. 425-429. (2013).
  • Yung-Chun Chang, Pi-Hua Chuang, Chien Chin Chen and Wen-Lian Hsu, “FISER: An Effective Method for Detecting Interactions between Topic Persons“, Lecture Notes in Computer Science Volume 7675, 2012, pp 275-285, 2012. [slides]
  • Yung-Chun Chang, Jian-Ming Chen, Hong-Jie Dai, Johnny Chi-Yang Wu, Chun-Hung Lu, Richard Tzong-Han Tsai, and Wen-Lian Hsu, “TEMPTING: A TEMPoral relation extracting System for the i2b2 2012 TLINK Track,” 2012 i2b2 Shared-Tasks and Workshop on Challenges in Natural Language Processing for Clinical Data, Lecture Notes in Artificial Intelligence, November 2012.
  • Johnny Chi-Yang Wu, Hong-Jie Dai, Richard Tzong-Han Tsai, Wen-Harn Pan, Wen-Lian Hsu, “T-HOD (Text-mined Hypertension, Obesity, Diabetes Candidate Gene Database),” in Proceedings of BioCreative 2012, (2012).
  • Hong-Jie Dai, Chi-Yang Wu, Richard Tzong-Han Tsai, Wen-Lian Hsu, “From Entity Recognition to Entity Linking: A Survey of Advanced Entity Linking Techniques,” in Proceedings of the 26th Annual Conference of the Japanese Society for Artificial Intelligence (JSAI), (2012).
  • Cheng-Wei Shih, Cheng-Wei Lee, Ting-Hao Yang, Wen-Lian Hsu, “IASL RITE System at NTCIR-9”, in Proceedings of NTCIR-9 Workshop Meeting, Tokyo, Japan, December 6-9, 2011, pp. 379-385. (2011).
  • Tang, Wan-Chun; Lu, Chun-Hung; Lu, Ching-Ching; Hsu, Wen-Lian; Hue, Chih-Wei., “On the Use of Praat：A step toward the Improvement of Hakka Pronunciation Teaching,”  in Proceedings of  the International Conference on e-Commerce, e-Administration, e-Society, e-Education, and e-Technology (e-CASE 2011), Japan, 2011.
  • Lu, Ching-Ching; Lu, Chun-Hung; Meg M. Lu; Hue, Chih-Wei; Hsu, Wen-Lian., “Poetry Writing with e-Learning,” in Proceedings of the International Conference on e-Commerce, e-Administration, e-Society, e-Education, and e-Technology (e-CASE 2011), Japan, 2011.
  • Lu, hing-Ching , Lu, Chun-Hung , Lu, Meg Ming-Chen, Hue, Chih-Wei, Hsu, Wen-Lian., “Canonical Chinese Syntax Awareness Facilitated by an e-Learning Program,” Paper presented at EET, Chengdu, China,
  • Lu, Ching-Ching , Lu, Chun-Hung , Lu, Meg Ming-Chen, Hue, Chih-Wei, Hsu, Wen-Lian., “Canonical Chinese syntax awareness facilited by an e-leraning program,”  in Proceedings of Advances in Intelligent and Soft Computing, 109, 472-280. Spinger Press, 2011.
  • Ting-hao Yang, Tian-Jian Jiang, Chan-hung Kuo, “Unsupervised Overlapping Feature Selection for Conditional Random Fields Learning in Chinese Word Segmentation,“ in Proceedings of the 23rd Conference on Computational Linguistics and Speech Processing (ROCLING 2011), pp109-122, (2011) [Errata] [slides]
  • Mike Tian-Jian Jiang, Cheng-Wei Shih, Chan-Hung Kuo, Richard Tzong-Han Tsai, and Wen-Lian Hsu, “Evaluation via Negativa of Chinese Word Segmentation for Information Retrieval,” in Proceedings of the 25th Pacific Asia Conference on Language, Information and Computation (PACLIC 25), pages 100-109, December 16-18, 2011, Singapore. [slides]
  • Mike Tian-Jian Jiang, Cheng-Wei Lee, Chad Liu, Yung-Chun Chang, and Wen-Lian Hsu, “Robustness Analysis of Adaptive Chinese Input Methods,” in proceedings of the Workshop on Advances in Text Input Methods, 5th International Joint Conference on Natural Language Processing (IJCNLP 2011), November 2011.[slides]  [Errata]
  • Mike Tian-Jian Jiang, Chan-Hung Kuo and Wen-Lian Hsu, “English-to-Chinese Machine Transliteration using Accessor Variety Features of Source Graphemes,” in Proceedings of the 2011 Named Entities Workshop, IJCNLP 2011, pages 86–90, Chiang Mai, Thailand, November 12, 2011. [slides]
  • Mike Tian-Jian Jiang, Chan-Hung Kuo and Wen-Lian Hsu, “Using Accessor Variety Features of Source Graphemes in Machine Transliteration of English to Chinese, ” International Conference on Technologies and Applications of Artificial Intelligence (TAAI), 2011. [slides] [Errata]
  • Yi-Hsun Lee, Chung-Yao Chuang, and Wen-Lian Hsu, “Iteratively Estimating Pattern Reliability and Seed Quality With Extraction Consistency” in Proceedings of the 25th Pacific Asia Conference on Language, Information and Computation (PACLIC), Singapore, 2011.
  • Dai, Hong-Jie, Richard Tzong-Han Tsai and Wen-Lian Hsu, “Entity Disambiguation Using a Markov-Logic Network” in The 5th International Joint Conference on Natural Language Processing (IJCNLP), Chiang Mai, Thailand, 2011.
  • Chung-Yao Chuang, Yi-Hsun Lee and Wen-Lian Hsu, “Text Patterns and Compression Models for Semantic Class Learning” in Proceedings of the 5th International Joint Conference on Natural Language Processing (IJCNLP), Chiang Mai, Thailand, 2011
  • Sheng-Chieh Lu, Chia-Feng Tsai, Chih-Chiang Tsou1, Han-Yin Yang, Lien-Chin Chen, Yu-Ju Chen, Ting-Yi Sung and Wen-Lian Hsu, “Improving phosphorylation site assignment by statistical analysis,” in Proceedings of the 8th Taiwan Society for Mass Spectrometry Anaual Conference (TSMS2011), Taipei, Taiwan, July 10-12, 2011.
  • Hong-Jie Dai, Wei-Chi Tsai, Richard Tzong-Han Tsai, and Wen-Lian Hsu, “Enhancing search results with semantic annotation using augmented browsing,” Proceedings of the Twenty-second International Joint Conference on Artifical Intelligence (IJCAI), Barcelona, Catalonia (Spain), (2011)
  • Hsing-Kuo Lee, Chun-Hung Lu, Wen-Lian Hsu, Ching-Ching Lu, Wan-Chun Tang, “Using Adaptive Learning Theory and a Schedule-based Flashcard to Enhance the Quality of Online Self Learning“, in Proceedings of the e-Case & e-Tech 2011, Tokyo, Japan1 2011.[slides]
  • Chun-Hung Lu, Chorng-Shyong Ong, Wen-Lian Hsu, Hsing-Kuo Lee, “Using Filtered Second Order Co-occurrence Matrix to Improve the Traditional Co-occurrence Model“, in Proceedings of the e-Case & e-Tech 2011, Tokyo, Japan1 2011.[slides]
  • Chung-Yao Chuang and Wen-Lian Hsu, “Multivariate Multi-Model Approach for Globally Multimodal Problems,” ACM SIGEVO Genetic and Evolutionary Computation Conference 2010 (GECCO 2010), Portland, USA,  (2010). [slides]
  • Tian-Jian Jiang, Shih-Hung Liu, Cheng-Lung Sung, and Wen-Lian Hsu, “Term Contributed Boundary Feature using Conditional Random Fields for Chinese Word Segmentation Task“, in proceeding of the 22nd Coference on Computational and Speech Processing (ROCLING 2010), Pages 143-156, Puli, Nantou, Taiwan, September 2010. [slides]
  • Tian-Jian Jiang, Shih-Hung Liu, Cheng-Lung Sung, and Wen-Lian Hsu, “Term Contributed Boundary Tagging by Conditional Random Fields for SIGHAN 2010 Chinese Word Segmentation Bakeoff“, in proceeding of the CIPS-SIGHAN Joint Conference on Chinese Language Processing, Pages 266-269 Beijing, China, August 28-29, 2010.
  • Hong-Jie Dai1, Po-Ting Lai, Richard Tzong-Han Tsai and Wen-Lian Hsu, “Global Ranking via Data Fusion“, in proceeding of the 23rd International Conference on Computational Linguistics (COLING 2010). Beijing, China; 2010.
  • Cheng-Wei Lee, Min-Yuh Day, Wen-Lian Hsu, “An Empirical Comparative Study of Manual Rule-Based and Statistical Question Classifiers on Heterogeneous Unseen Data“, in Proceedings of the Sixth Asia Information Retrieval Societies Conference (AIRS) (2010). [poster]
  • Hsin-Nan Lin, Ting-Yi Sung, Shinn-Ying Ho and Wen-Lian Hsu, “Improving protein secondary structure prediction based on short subsequences with local structure similarity“, in Proceedings of the Ninth International Conference on Bioinformatics (InCoB2010) Tokyo, Japan. 26-28 September 2010.  [slides]
  • Sheng-Chieh Lu, Chia-Feng Tsai, Chih-Chiang Tsou, Han-Yin Yang, Lien-Chin Chen, Yu-Ju Chen, Ting-Yi Sung, and Wen-Lian Hsu, “Improving phosphorylation site assignment by statistical analysis on CID fragmentation,” 58th ASMS Conference on Mass Spectrometry, Salt Lake City, Utah, (2010).[slides]
  • Dai, H.-J., Lai, P.-T., Huang, C.-H., Chang, Y.-C., Bow, Y.-Y., Wu, H.-T., Tsai, R.T.-H. and Hsu, W.-L., IASL-IISR Interactor Normalization System:” Using a Multi-stage Gene Normalization Algorithm and SVM-based ranking” , in proceedings of BioCreAtIvE II.5 Challenge Evaluation Workshop. Madrid, Spain, (2009).
  • Yu-Lin Chu, Chun-Hung Lu and Wen-Lian Hsu, “LE-Story: An Intelligent Storytelling Environment for Chinese Learning“, in Proceedings of the 17th International Conference on Computers in Education(ICCE 2009), Hong Kong, (2009).
  • Lai, P.-T., Bow, Y.-Y., Huang, C.-H., Dai, H.-J., Tsai, R.T.-H. and Hsu, W.-L., “Using Contextual Information to Clarify Gene Normalization Ambiguity“, The IEEE International Conference on Information Reuse and Integration (IEEE IRI 2009), Las Vegas, USA, (2009).
  • Chih-Chiang Tsou, Ting-Yi Sung, and Wen-Lian Hsu, “MassComp-Q: A comprehensive quantitation software tool for stable isotope labeling and label-free quantitative proteomics”, 57th ASMS Conference on Mass Spectrometry, Philadelphia, Pennsylvania, (2009).[slides]
  • Yi-Ting Wang, Chia-feng Tsai, Tzu-Chan Hong, Chih-Chiang Tsou, Pei-Yi Lin, Tse-Ming Hong, Pan-Chyr Yang, Ting-Yi Sung, Wen-Lian Hsu, and Yu-Ju Chen, “A Simple Label-free LC-MS/MS Strategy Towards Comprehensive Phosphoproteomics View that Depict the Mechanisms of Cancer Cell Invasion,” 57th ASMS Conference on Mass Spectrometry, Philadelphia, Pennsylvania, (2009).[slides]
  • Sheng-Ta Tsai, Chia-Ning Shen, Chih-Chiang Tsou, Wan-Yu Mao, Wei-Chao Chang, Wen-Lian Hsu, and Chung-Hsuan Chen, “Comparative proteomic analysis of liver cancer stem cells,” 57th ASMS Conference on Mass Spectrometry, Philadelphia, Pennsylvania, (2009).[slides]
  • Min-Yuh Day, Chorng-Shyong Ong, Wen-Lian Hsu, “An Analysis of Research on Information Reuse and Integration“, in Proceedings of the IEEE International Conference on Information Reuse and Integration (IEEE IRI 2009), Las Vegas, Nevada, (2009).[slides]
  • Yi-Ting Wang, Chia-Feng Tsai, Pei-Yi Lin, Tzu-Chan Hong, Chih-Chiang Tsou, Wen-Lian Hsu, Ting-Yi Sung, Tze Min Hong, Pan-Chyr Yang, and Yu-Ju Chen, “SEMI-quantitation Strategy for Label-free Quantitative Profiling of Phosphoproteome in Lung Cancer of Different Invasive Potential,” 56th ASMS Conference on Mass Spectrometry, Denver, Colorado, (2008). [slides]
  • Chien-Peng Wu, Pei-Yi Lin, Chih-Wei Chien, Chia-Li Han, Chih-Chiang Tsou, Ting-Yi Sung, Wen-Lian Hsu, and Yu-Ju Chen, “Altered Membrane Proteomic Signature in Human Colorectal Cancer Revealed by Label-free Quantitation Strategy,” 56th ASMS Conference on Mass Spectrometry, Denver, Colorado, (2008). [slides]
  • Chih-Chiang Tsou, Chia-Feng Tsai, Ethan Yin-Hao Tsui, Paul Chuan-Yih Yu, Yi-Ting Wang, Pei-Yi Lin, Yu-Ju Chen, Ting-Yi Sung and Wen-Lian Hsu, IDEAL-Q: an automated tool for high-performance label-free quantitative analysis, 56th ASMS Conference on Mass Spectrometry, Denver, Colorado, (2008).[slides]
  • Pei-Yi Lin, Chia-feng Tsai, Chih-Chiang Tsou, Chien-Peng Wu, Yi-Ting Wang, Ting-Yi Sung, Wen-Lian Hsu, and Yu-Ju Chen, “High-speed Proteomic Signature by Swift LC-MS/MS and Label-free Quantitation,” 56th ASMS Conference on Mass Spectrometry, Denver, Colorado, (2008).[slides]
  • Ryan T.K. Lin, Justin Liang-Te Chiu, Hong-Jei Dai, Min-Yuh Day, Richard Tzong-Han Tsai, Wen-Lian Hsu (2008), “Biological Question Answering with Syntactic and Semantic Feature Matching and an Improved Mean Reciprocal Ranking Measurement“, in Proceedings of the IEEE International Conference on Information Reuse and Integration (IEEE IRI 2008), Las Vegas, Nevada, (2008).
  • Ryan T.K. Lin, Hong-Jei Dai, Yue-Yang Bow, Min-Yuh Day, Richard Tzong-Han Tsai, Wen-Lian Hsu (2008), “Result Identification for Biomedical Abstracts Using Conditional Random Fields“, in Proceedings of the IEEE International Conference on Information Reuse and Integration (IEEE IRI 2008), Las Vegas, Nevada, (2008).
  • Pei-Hsuan Chou, Hong-Jie Dai, Chi-Hsin Huang, Richard Tzong-Han Tsai, Wen-Lian Hsu, “A Web Application for Biomedical Entities and Relations Annotation Using the Unstructured Information Management Architecture,” in Proceedings of 2008 International Computer Symposium, Taipei, Taiwan, (2008).
  • Yi-Hsun Lee, Cheng-Wei Lee, Cheng-Lung Sung, Mon-Tin Tzou, Chih-Chien Wang, Shih-Hung Liu, Cheng-Wei Shih , Pei-Yin Yang and Wen-Lian Hsu, “Complex Question Answering with ASQA at NTCIR 7 ACLIA” in proceeding of the 7th NTCIR Workshop Meeting , Tokyo, Japan, December 16-19, pp. 70-76, (2008).
  • Cheng-Lung Sung, Hsu-Chun Yen, Wen-Lian Hsu, “Compute the Term Contributed Frequency” in Proceedings of Intelligent Systems Design And Applications (ISDA2008), (2008).
  • Cheng-Lung Sung, Cheng-Wei Lee, Hsu-Chun Yen, Wen-Lian Hsu, “An Alignment-based Surface Pattern for a Question Answering System“, in Proceedings of the IEEE International Conference on Information Reuse and Integration (IEEE IRI 2008), Las Vegas, Nevada, USA, July, 13-15, 2008, pp. 172-177, (2008).
  • Chorng-Shyong Ong, Min-Yuh Day, Wen-Lian Hsu, “Development of an Evaluation Model for Question Answering Systems“, in Proceedings of the IEEE International Conference on Information Reuse and Integration (IEEE IRI 2008), Las Vegas, Nevada, USA, July, 13-15, 2008, pp. 178-183, (2008).[slides]
  • Cheng-Lung Sung, Min-Yuh Day, Hsu-Chun Yen, Wen-Lian Hsu,” A Template Alignment Algorithm for Question Classification“, in Proceedings of the IEEE International Conference on Intelligence and Security Informatics (IEEE ISI 2008), Taipei, Taiwan, June 17-20, 2008, pp. 197-199.(2008).
  • Chorng-Shyong Ong, Min-Yuh Day, Kuo-Tay Chen, Wen-Lian Hsu, “User-Centered Evaluation of Question Answering Systems“, in Proceedings of the IEEE International Conference on Intelligence and Security Informatics (IEEE ISI 2008), Taipei, Taiwan, June 17-20, 2008, pp. 286-287.(2008).
  • Chun-Hung Lu, Chih-Chien Wang, Min-Yuh Day, Chorng-Shyong Ong, Wen-Lian Hsu, “Using “Cited by” Information to Find the Context of Research Papers“, in Proceedings of the First International Workshop on Social Computing (SOCO 2008), June 17, 2008, Lecture Notes in Computer Science (LNCS), Vol. 5075, pp. 343-354, (2008).
  • Chia-Wei Wu, Wen-Lian Hsu, Richard Tzong-Han Tsai, “Semi-joint Labeling for Chinese Named Entity Recognition,” Proceedings of AIRS’08, (2008).[slides]
  • Yu-Chun Wang, Richard Tzong-Han Tsai and Wen-Lian Hsu, ” Learning Patterns from the Web to Translate Named Entities for Cross Language Information Retrieval,” Proceedings of IJCNLP, (2008).
  • Chang-Chih Tseng, Chun-Hung Lu, Wen-Lian Hsu, “A Mobile Environment for Chinese Language Learning“, in Proceedings of HCI International 2007, July 22-27, 2007, Lecture Notes in Computer Science (LNCS), Vol. 4558 pp. 485-489, (2007).
  • Richard Tzong-Han Tsai, Hong-Jei Dai, Hsi-Chuan Hung, Ryan T.K. Lin, Wen-Chi Chou, Ying-Shan Su, Min-Yuh Day, Wen-Lian Hsu (2007) ,”BESearch: A Supervised Learning Approach to Search for Molecular Event Participants“, in Proceedings of the IEEE International Conference on Information Reuse and Integration (IEEE IRI 2007), Las Vegas, Nevada, USA, August, 13-15, 2007, pp. 412-417. (2007). [slides]
  • Hong-Jie Dai, Hsi-Chuan Hung, Richard Tzong-Han Tsai, & Wen-Lian Hsu. IASL Systems in the Gene Mention Tagging Task and Protein Interaction Article Sub-task . Proceedings of Second BioCreAtIvE Challenge Workshop (2007). [slides]
  • Hsi-Chuan Hung, Richard Tzong-Han Tsai, & Wen-Lian Hsu, “Identifying Protein Interaction Abstracts with Contextual Bag of Words”, Proceedings of the AAAI-07 Student Workshop (2007).[slides]
  • Allan Lo, Hua-Sheng Chiu, Ting-Yi Sung, Wen-Lian Hsu, “On the accuracy of transmembrane helix prediction methods using an updated benchmark,” Technical Report TR-IIS-007-010, Institute of Information Science, Academia Sinica, (2007).
  • Mon-Tin Tzou, Chun-Hung Lu, Chin-Chien Wang, Cheng-Wei Lee, Wen-Lian Hsu, “Extending knowledge of AIML by using RDF” in proceeding of the 15th International Conference on Computers in Education(ICCE2007) Workshop, Hiroshima, Japan, November, 2007, 5-9, pp 92-94, (2007)
  • Chin-Chien Wang, Chun-Hung Lu, Mon-Tin Tzou, Cheng-Wei Lee, Wen-Lian Hsu, “Task-based Learning through Dialogue Management” in proceeding of the 15th International Conference on Computers in Education(ICCE2007) Workshop, Hiroshima, Japan, November, 2007, 5-9, pp 95-97, (2007)
  • Wen-Lian Hsu, “ Implications of Web 2.0 on Information Research,” Invited Talk, Workshop on Web 2.0 Technology and Applications, (2007).
  • Yu-Chun Wang, Yi-HsunLee, Chu-Cheng Lin, Richard Tzong-Han Tsai, Wen-Lian Hsu,” Korean-Chinese Person Name Translation for Cross Language Information Retrieval“, Proceedings of ROCLING2007, pp. 37-44.(2007).
  • Richard Tzong-Han Tsai, Hsi-Chuan Hung, Hong-Jie Dai, and Wen-Lian Hsu, “ Exploiting Unlabeled Internal Data in Conditional Random Fields to Reduce Word Segmentation Errors for Chinese Texts,” Proceeding of the Interspeech-2007 Conference, 2007.
  • Yu-Chun Wang, Cheng-Wei Lee, Richar Tzong-Han Tsai and Wen-Lian Hsu, ” IASL System for NTCIR-6 Korean-Chinese Cross-Language Information Retrieval“, in Proceedings of NTCIR-6 Workshop Meeting, Tokyo, Japan, May 15-18, 2007, pp. 26-30. (2007)
  • Min-Yuh Day, Chorng-Shyong Ong, Wen-Lian Hsu, “Question Classification in English-Chinese Cross-Language Question Answering: An Integrated Genetic Algorithm and Machine Learning Approach“, in Proceedings of the IEEE International Conference on Information Reuse and Integration (IEEE IRI 2007), Las Vegas, Nevada, USA, August, 13-15, 2007, pp. 203-208. (2007). [slides]
  • Cheng-Wei Lee, Min-Yuh Day, Cheng-Lung Sung, Yi-Hsun Lee, Tian-Jian Jiang, Chia-Wei Wu, Cheng-Wei Shih, Yu-Ren Chen, Wen-Lian Hsu, “Chinese-Chinese and English-Chinese Question Answering with ASQA at NTCIR-6 CLQA“, in Proceedings of NTCIR-6 Workshop Meeting, Tokyo, Japan, May 15-18, 2007, pp. 175-181. (2007). [slides]
  • Richard Tzong-Han Tsai, Hong-Jie Dai, Hsi-Chuan Hung, & Wen-Lian Hsu. Exploiting Unlabeled Internal Data in Conditional Random Fields to Reduce Word Segmentation Errors for Chinese Texts. Proceedings of the Interspeech-2007 Conference (2007).
  • Wen-Chi Chou, Richard Tzong-Han Tsai, Ying-Shan Su, Wei Ku, Ting-Yi Sung and Wen-Lian Hsu, “A Semi-Automatic Method for Annotating a Biomedical Proposition Bank,” ACL Workshop on Frontiers in Linguistically Annotated Corpora 2006 (2006).
  • Tsai, R. T.-H., Lin, W.-C. C. Y.-C., Ku, W., Su, Y.-S., Sung, T.-Y., & Hsu, W.-L., “BIOSMILE: Adapting Semantic Role Labeling for Biomedical Verbs: An Exponential Model Coupled with Automatically Generated Template Features,” Proceedings of BioNLP-2006, (2006). (acceptance rate: 27.5%) [slides]
  • Emily Chia-Yu Su, Allan Lo, Hua-Sheng Chiu, Ting-Yi Sung, and Wen-Lian Hsu, “Protein subcellular localization prediction based on compartment-specific biological features,” Proceedings of IEEE Computational Systems Bioinformatics Conference (CSB’06), Stanford, CA, (2006), Acceptance rate, 19% (30/156).
  • Allan Lo, Hua-Sheng Chiu, Ting-Yi Sung, Wen-Lian Hsu, “Transmembrane Helix and Topology Prediction Using Hierarchical SVM Classifiers and an Alternating Geometric Scoring Function,” Proceedings of IEEE Computational Systems Bioinformatics Conference (CSB’06), Stanford, CA, (2006), Acceptance rate, 19% (30/156).[pp]
  • Hua-Sheng Chiu,  Hsin-Nan Lin,  Allan Lo,  Ting-Yi Sung,  Wen-Lian Hsu, “A two-stage classifier for protein beta-turn prediction using support vector machines,” in Proceedings of IEEE International Conference on Granular Computing (IEEE GrC), (2006).
  • Ching-Tai Chen, Hsin-Nan Lin, Ting-Ying Sung and Wen-Lian Hsu, “A Knowledge-based Approach to Protein Local Structure Prediction,” Journal of Bioinformatics and Computational Biology, Vol. 4, (2006), 1287-1307, also in Proceedings of Asia Pacific Bioinformatics Conference (APBC).
  • Tsai, R. T.H., Dai, H.J., Sung, C.L., Hung, H.C., Day, M.Y., & Hsu, W.L. Chinese Word Segmentation with Minimal Linguistic Knowledge: An Im-proved Conditional Random Fields Coupled with Character Clustering and Auto-matically Discovered Template Matching. Paper presented at the IEEE IRI-06. (2006).
  • Min-Yuh Day, Chun-Hung Lu, Chorng-Shyong Ong, Shih-Hung Wu, and Wen-Lian Hsu, “Integrating Genetic Algorithms with Conditional Random Fields to Enhance Question Informer Prediction“, in Proceedings of the IEEE International Conference on Information Reuse and Integration (IEEE IRI 2006), Waikoloa, Hawaii, USA, Sep 16-18, 2006 (2006). [slides]
  • Richard Tzong-Han Tsai, Hsieh-Chuan Hung, Cheng-Lung Sung, Hong-Jie Dai, and Wen-Lian Hsu, “On Closed Task of Chinese Word Segmentation: An Improved CRF Model Coupled with Character Clustering and Automatically Generated Template Matching,” Proceedings of SIGHAN Workshop, (2006).[slides]
  • Chia-Wei Wu, Shyh-Yi Jan, Richard Tzong-Han Tsai, Wen-Lian Hsu, “ On Using Ensemble Methods for Chinese Named Entity Recognition,” Proceedings of SIGHAN Workshop, (2006). [slides]
  • Tzong-Han Tsai, Chia-Wei Wu, Chun-Nan Chi, Ding He, Ting-Yi Sung, Wen-Lian Hsu “Biomedical Literature Mining: Technologies and IASL’s Experiences”, WSA 2005 Workshop invited paper (2005).Tsai, T.-H., Wu, S.-H. and Hsu, W.-L. , “Exploitation of linguistic features using a CRF-based biomedical named entity recognizer”,  ACL Workshop on Linking Biological Literature, Ontologies and Databases: Mining Biological Semantics. Detroit (2005). [slides]
  • Wu, C.-W., Tsai, T.-H. and Hsu, W.-L. , “Learning to Integrate Web Taxonomies with Fine-Grained Relations: A Case Study Using Maximum Entropy Model”, in Proceedings of the AIRS-2005. Springer, Jeju Island, Korea. (2005) acceptance rate: 23% (32/136) [slides]
  • Min-Yuh Day, Tzong-Han Tsai, Cheng-Lung Sung, Cheng-Wei Lee, Shih-Hung Wu, Chorng-Shyong Ong, Wen-Lian Hsu, “ A Knowledge-based Approach to Citation Extraction,” Proceedings of IEEE IRI-2005, (2005).[slides]
  • Cheng-Wei Lee, Cheng-Wei Shih, Min-Yuh Day, Tzong-Han Tsai, Tian-Jian Jiang, Chia-Wei Wu, Cheng-Lung Sung, Yu-Ren Chen, Shih-Hung Wu and Wen-Lian Hsu (2005), “ASQA: Academia Sinica Question Answering System for NTCIR-5 CLQA,” in Proceedings of NTCIR-5 Workshop, Tokyo, Japan, 202-208, (2005). [slides]
  • Cheng-Wei Lee, Cheng-Wei Shih, Min-Yuh Day, Tzong-Han Tsai, Tian-Jian Jiang, Chia-Wei Wu, Cheng-Lung Sung, Yu-Ren Chen, Shih-Hung Wu, and Wen-Lian Hsu (2005), “Perspectives on Chinese Question Answering Systems,” in Proceedings of the Workshop on the Sciences of the Artificial (WSA 2005), Hualien, Taiwan, (2005). [slides]
  • Min-Yuh Day, Cheng-Wei Lee, Shih-Hung Wu, Chorng-Shyong Ong, Wen-Lian Hsu, “An Integrated Knowledge-based and Machine Learning Approach for Chinese Question Classification“, Proceedings of the IEEE International Conference on Natural Language Processing and Knowledge Engineering (IEEE NLP-KE 2005), (2005).[slides]
  • Shih-Hung Wu, Cheng-Wei Shih, Chia-Wei Wu, Tzong-Han Tsai, and Wen-Lian Hsu, “Applying Maximum Entropy to Robust Chinese Shallow Parsing“, Proceedings of ROCLING2005, (2005).[slides]
  • Tsai, T.-H., Wu, C.-W., Lin, Y.-C. and Hsu, W.-L. (2005), “Exploiting full parsing information to label semantic roles using an ensemble of ME and SVM via integer linear programming”, CoNLL-2005.
  • Min-Yuh Day, Chun-Hung Lu, Jin-Tan David Yang, Guey-Fa Chiou, Chorng-Shyong Ong, Wen-Lian Hsu, “ Designing an Ontology-based Intelligent Tutoring Agent with Instant Messaging,” Proceedings of ICALT2005,(2005). [slides]
  • Hao-Chuan Wang, Chun-Hung Lu, Jun-Yi Yang, Hsin-Wen Hu, Guey-Fa Chiou, Yueh-Tzu Chiang, and Wen-Lian Hsu, “An Empirical Exploration on Using Wiki in an English as Second Language Course,” Proceedings of ICALT2005, (2005).
  • Wen-Lian Hsu*, “A Linear Time Algorithm for Finding a Maximal Planar Subgraph Based on PC-Trees,” Lecture Notes in Computer Science 2108, 207-217, (2005).
  • W. L. Hsu, J. M. Chang, W. C. Chou, J. B. Chen, K. P. Wu, T. Y. Sung, C. F. Chang, W. J. Wu and T. H. Huang, “An Iterative Relaxation Technique for the NMR Backbone Assignment Problem,”invited talk, in Proceedings of IEEE Fourth Symposium on Bioinformatics and Bioengineering (BIBE2004), (2004).
  • Wen-Lian Hsu, “Survey – A Paradigm Shift in Biological Computing,” French-Taiwanese Conference on Information Technology, invited talk, (2004).
  • Yi-Feng Lin, Tzong-Han Tsai, Wen-Chi Chou, Kuen-Pin Wu, Ting-Yi Sung, Wen-Lian Hsu, “ A Maximum Entropy Approach to Biomedical Named Entity Recognition,  Proceedings of 4th ACM SIGKDD Workshop on Data Mining in Bioinformatics (BioKDD), (2004).
  • Yi-Feng Lin, Wen-Chi Chou, Kuen-Pin Wu, Ting-Yi Sung, Wen-Lian Hsu, “InfoMap: A Framework for Integrated Proteomic Knowledge Base,” Proceedings of 3rd International Proteomics Conference (IPC’04), invited talk, (2004).
  • Cheng-Wei Shih, Tzong-Han Tsai, Shih-Hung Wu, Chiu-Chen Hsieh, and Wen-Lian Hsu, “The Construction of a Chinese Named Entity Tagged Corpus: CNEC1.0,” Proceedings of ROCLING2004, (2004).[slides]
  • Jia-Lin Tsai, Tien-Jien Chiang and Wen-Lian Hsu, “Applying Meaningful Word-Pair Identifier to the Chinese Syllable-to-Word Conversion Problem,” Proceedings of ROCLING2004, (2004).
  • Chun-Hung Lu, Shih-Hung Wu, LiongYu Tu, Wen-Lian Hsu,”The Design of An Intelligent Tutoring System Based on the Ontology of Procedural Knowledge“, Proceedings of the IEEE International Conference on Advanced Learning Technologies, ICALT2004,(2004).[slides]
  • W. L. Hsu and R. McConnell, “PQ Trees PC Trees and Planar Graphs,” Handbook of Data Structures and Applications, Dinesh P Mehta and Sartaj Sahni ed., (2003).
  • Wen-Lian Hsu, “A Paradigm Shift in Biological Computing,” Fudan International Bioinformatics Workshop, invited talk, (2003).
  • Jia-Lin Tsai, Cheng-Lung Sung and Wen-Lian Hsu, “Chinese Word Auto-Confirmation System using a Hybrid Approach,” Proceedings of ROCLING XV, (2003).
  • S. H. Wu, T. H. Tsai and W. L. Hsu, “Domain Event Extraction and Representation with Domain Ontology,” Proceedings of IJCAI’03 Workshop on Information Integration on the Web, Menlo Park, CA, (2003).
  • S. H. Wu, T. H. Tsai and W. L. Hsu, “Text Categorization Using Automatically Acquired Domain Ontology,” Proceedings of IRAL2003 Workshop on Information Retrieval with Asian Languages, Sapporo, Japan, (2003).
  • Wing-Kwong Wong, Sheng-Cheng Hsu, Wen-Lian Hsu, and Chin-Tang Cho, “Computer-assisted Learning Environment with Automated Chinese Word Problem Categorization,” Proceedings of ICCE2003, (2003).
  • K. P. Wu, H. N. Lin, T. Y. Sung, and W. L. Hsu, “A New Similarity Measure among Protein Sequences,” Proceedings of IEEE The Computational Systems Bioinformatics Conference (CSB’03), Stanford, CA, (2003), Acceptance rate, 19% (27/138).
  • W. L. Hsu, “An Efficient Implementation of the PC-Tree Algorithm of Shih & Hsu’s Planarity Test,” Technical Report, Institute of Information Science, Academia Sinica,  (2003).
  • W. L. Hsu, “PC-Trees and Maximal Planar Subgraphs,” Keynote speech, ICS’02, Hualien, (2002).
  • J. L. Tsai and W. L. Hsu, “Applying an NVEF Word-Pair Identifier to the Chinese Syllable-to-Word Conversion Problem,” COLING’02, Taipei, (2002).
  • L.Y., Tu, W. L. Hsu and S. H., Wu, “A Cognitive Student Model – An Ontological Approach,” ICCE’02, Auckland, (2002).
  • S. H. Wu and W. L. Hsu, “ AutoMap: A Semi-Automatic Ontology Acquisition Tool for Chinese Corpus,” COLING’02, Taipei, (2002).
  • C. C. Hsieh, T. H. Tsai, W. L. Hsu, D. Wible, “Exploiting Knowledge Representation in an Intelligent Tutoring System for English Lexical Errors,” ICCE’02, Auckland, (2002).
  • 許聞廉，「智慧型問答搜尋技術」，邀請演講，中文搜尋引擎技術研討會，台北，(2001).
  • Shih-Hung Wu, Min-Yuh Day, W. L. Hsu, “FAQ-Centered Organizational Memory,” IJCAI’01 Workshop on Knowledge Management and Organization Memory, Seattle, (2001).
  • C. L. Sung, W. L. Hsu, S. H. Wu and W. K. Shih, “The Design and Implementation of Intelligent Desktop Agent,” Proceedings of TAAI’01, Kaoshiung, (2001)
  • W. L. Hsu, Y. S. Chen and S. H. Wu, “Event Identification Based on the Information Map – INFOMAP,” NLPKE’01, Tucson, (2001).
  • W. L. Hsu, “PC-trees vs. PQ-trees,” invited talk, Workshop on Graph Structures and Algorithms, also, appeared in Lecture Notes in Computer Science 2108, 207-217, (2001).
  • W. L. Hsu, “Interactive CAI in Natural Language,” Keynote Speech, International Conference on Computer Assisted Instruction and Internet Computing, Taipei, (2000).
  • W. L. Hsu,“Simulating Human Intelligence,” Keynote Speech, Fifth Conference on Artificial Intelligence and Applications, Taipei, (2000).
  • W. L. Hsu, Yi-Shiou Chen and Yuan-Kai Wang, “Natural language agents – An agent society on the Internet,” Proceedings of PRIMA’99, (1999).
  • W. L. Hsu, 「網際網路的檢索與知識管理」，專題講座，National Computer Symposium, Taipei, (1999).
  • H. L. Wang, W. K. Shih, C. N. Hsu, Y. S. Chen, Y. L. Wang and W. L. Hsu, “Personal Navigating Agent,” Proceedings of AGENT’99, (1999).
  • C. C. Chen and W. L. Hsu, “A document similarity measurement without dictionaries,” Proceedings of the Fourth International Workshop on Information Retrieval with Asian Languages IRAL’99, (1999).
  • W. L. Hsu, Yi-Shiou Chen and Yuan-Kai Wang, “A Context sensitive model for concept understanding” Proceedings of ITALLC’98, (1998), 161-169
  • Yi-Shiou Chen, Schy Chiou, Yuan-Kai Wang, and Wen-Lian Hsu, “Personal Brower,” Proc. ACM SIGIR’98, (1998).
  • Y. K. Wang , Y. S. Chen and W. L. Hsu, “Empirical study of mandarin Chinese discourse analysis,” Proceedings. of the 10th IEEE International Conference on Tools with AI, (1998).
  • Y. K. Wang , Y. S. Chen and W. L. Hsu, “A knowledge-based approach for natural language processing,” Technical Report, (1998).
  • Y. K. Wang , W. L. Hsu and Y. S. Chen, “The anaphoric expressions of Chinese algebraic word problem,” Proceedings of the 1998 International Symposium on Multimedia Information Processing, (1998).
  • Wing-Kwong Wong, W. L. Hsu, Yi-Shiou Chen, Yuan-Kai Wang, Shun-Tao Pai, “Natural language educational agents in a networked Chinese logo learning environment”, Proceedings of ICCE’98, (1998).
  • W. L. Hsu, W. F. Lu, “On clone assembly algorithms – an error tolerant test for interval graph recognition”, Proc. IEEE International Joint Symposia on Intelligence and Systems, (1998), 118-125.
  • W. L. Hsu, “Fault Tolerant DNA computing,” invited talk, DIMACS Workshop, Hong Kong, (1998).
  • W. L. Hsu and W. F. Lu, “From Satellite DNA to HTML table understanding,” invited talk, CTS Workshop on Combinatorics and Algorithms, Taipei, (1998).
  • W. L. Hsu, “Elementary school Math. tutoring agent”, Proceedings of Agent Technology Workshop, (1997).
  • 許聞廉，『模擬人類理解的新嘗試』，張昭鼎紀念研討會，國立中正大學，(1996).
  • W. L. Hsu,, “On-line recognition of interval graphs“, Lecture Notes in Computer Science 1120, 27-38, (1996).
  • W. L. Hsu, “Finding maximal planar subgraphs in linear time“, Lecture Notes in Computer Science 1004, ISAAC ‘ 95, (1995).
  • W. L. Hsu, W. K. Shih and P. H. Yeh, “Object oriented concept representation“, Proceeding of ICCPOL’95, (1995).
  • W. L. Hsu, “On the design of a computer that speak fluent Chinese,” Proceedings of RAMs’95, (1995).
  • 許聞廉、陳克健，「自然智慧型輸入系統的語意分析─脈絡會意法」, Proceedings of the 6th International Symposium on Cognitive Aspects of the Chinese Language, (1993), 527-540.
  • Fu Chang, Ying-Chu Chen, Hon-Son Don, W. L. Hsu, and Ching-I Kao, “Stroke segmentation as a basis for structural matching of Chinese characters”, Second International Conference on Document Analysis and Recognition, (1993).
  • W. K. Shih and W. L. Hsu, “ A simple test for planar graphs,” Proceedings of the International Workshop on Discrete Math. and Algorithms, University of Hong Kong, 110-122, (1993).
  • W. L. Hsu, “A new test for interval graphs“, Lecture Notes in Computer Science 657, 11-16, (1992).
  • W. K. Shih and W. L. Hsu, “An approximation algorithm for coloring circular-arc graphs,” SIAM conference on Discrete Mathematics, San Francisco, (1990).
  • K. H. Tsai and W. L. Hsu, “A linear time algorithm for the maximum two track assignment problem,” proc. 27th Allerton Conference on Communication, Control and Computing, 291-300, (1989).
  • W. L. Hsu, “Efficient algorithms for the maximum weight clique problem on circular-arc graphs and circle graphs,” Progress in Graph Theory, J. A. Bondy and U. S. R. Murty ed., 335-345, (1984).