DBLP Link

Journal Papers

1. Chung-Yu Shih, Cissi Ying-tsen Lin, Shu-Yu Lin, Cheng-Hung Yeh, Yu-Ming Huang, Feng-Nan Hwang, Chia-Hui Chang: Forecasting of Global Ionosphere Maps With Multi-Day Lead Time Using Transformer-Based Neural Networks, Space Weather. Jan. 2024.  https://doi.org/10.1029/2023SW003579

2. Kuo-Chun Chien, Chia-Hui Chang, R. D. Sun: Legal Knowledge Management for Prosecutors based on Judgement Prediction and Error Analysis from Indictments, Computer Law & Security Review: The International Journal of Technology Law and Practice. Nov. 2023.  

3. Yu-Xiang Hong, Chia-Hui Chang: Improving Colloquial Case Legal Judgment Prediction via Abstractive Text Summarization, Computer Law & Security Review: The International Journal of Technology Law and Practice, Nov. 2023.  

4. Yuan-Hao Lin, Chia-Hui Chang, Hsiu-Min Chuang: EventGo! Mining Events through Semi-Supervised Event Title Recognition and Pattern-based Venue/Date Coupling, Journal of Information Science  and Engineering, Vol. 39, No. 3, pp.655 - 670, 2023. 10.6688/JISE.202305_39(3).0013

5. 張嘉惠,葉丞鴻, 李聿鎧: 多領域任務導向一對一用戶對話收集系統, International Journal of Computational Linguistics & Chinese Language Processing (IJCLCLP), 2023

6. 張嘉惠,陳臆玄,劉晨鐘,鄭芳祥:聊故事機器人對話回應模組選擇之研究, Submitted to International Journal of Computational Linguistics & Chinese Language Processing (Under Revision)

7. Chen-Chung Liu, Mo-Gang Liao, Chia-Hui Chang, Hung-Ming Lin: An analysis of children' interaction with an AI chatbot and its impact on their interest in reading. Comput. Educ. 189: 104576 (2022)

8. Chun-Nan Hsu, Chia-Hui Chang, Thamolwan Poopradubsil, Amanda Lo, Karen A. William, Ko-Wei Lin, Anita Bandrowski, Ibrahim Burak Ozyurt, Jeffrey S. Grethe, Maryann E. Martone: Antibody Watch: Text Mining Antibody Specificity from the Literature, arXiv:2008.01937v1. Plos Computational Biology, 17(5):e1008967 (2021) 

9. Chien-Lung Chou, Chia-Hui Chang, Yuan-Hao Lin, Kuo-Chun Chien: On the Construction of Web NER Model Training Tool based on Distant Supervision, Transactions on Asian and Low-Resource Language Information Processing, Transactions on Asian and Low-Resource Language Information Processing, 19(6), 1-28. (2020)

10. Oviliani Yenty Yuliana and Chia-Hui Chang, DCADE: divide and conquer alignment with dynamic encoding for full page data extraction, Applied Intelligence, 50(2), 271-295 (2020).

11. Kuo-Chun Chien and Chia-Hui Chang: Leveraging Memory-Enhanced Conditional Random Fields with Convolutional and Automatic Lexical Features for Chinese Named Entity Recognition. In International Journal of Computational Linguistics & Chinese Language Processing, Vol.24. 1–14 (2019). http://www.aclclp.org.tw/clclp/v24n1/v24n1a1.pdf 

12. H.-M. Chuang, C.-H. Chang, W.-C. Lee, Detecting Outdated POI Relations via Web-derived Features, Trans. on GIS, 22(5), 1238-1256 (2018).

13. O. Yuliana, C.-H. Chang*, A novel alignment algorithm for effective web data extraction from singleton pages, Applied Intelligence, 48(11), 4355-4370 (2018).

14. Chien-Lung Chou, Chia-Hui Chang*, Ya-Yun Huang: Boosted Named Entities Recognition via Tri-Training, ACM Transactions on Asian and Low-Resource Language Information Processing 16(2) (2016) [pdf].

15. H.-M. Chuang, C.-H. Chang*, Ting-Yao Kao, Chung-Ting Cheng and Ya-Yun Huang, K.-P. Cheong: Enabling Maps/Location Searches on Mobile Devices: Constructing a POI Database via Focused Crawling and Information Extraction, International Journal of Geographical Information Science, 30(7): 1405-1425 (2016) [pdf]

16. C.-H. Chang*, H.-M. Chuang, C.-Y. Huang, Y.-S. Su, S.-Y. Li: Enhancing POI Search on Maps via Online Address Extraction and Associated Information Extraction, Applied Intelligence. 44(3): 539-556 (2016) [pdf]

17. J.-R. Chang, Y.-H. Jheng, C.-H. Chanag*, C.-Y. Lo: An efficient algorithm for vehicle guidance combining the Dijkstra and A* algorithm with fuzzy inference theory, Journal of Internet Technology, 16(2):189-200 (2015)

18. J.-C. Chen, I.-C. Wu, W.-J. Tseng, B.-H. Lin, C.-H. Chang: Job-Level Alpha-Beta Search, IEEE Transactions on Computational Intelligence and AI in Game, 7(1): 28-38 (2015) 10.1109/TCIAIG.2014.2316314 [pdf]

19. Q. Chen and C.-H. Chang*: Enhancement of Kernel Dependency Estimation with Information Generalization and Case Study on Skewed Data, Applied Intelligence, Vol. 41, Issue 2, pp. 582-593. (2014). 10.1007/s10489-014-0539-8 

20. M.-L. Wu and C.-H. Chang*: Integrating Content-Based Filtering with Collaborative Filtering using Co-Clustering with Augmented Matrices, Expert Systems With Applications, Vol. 41, Iss. 6, pp. 2754-2761. ( 2014) 10.1016/j.eswa.2013.10.008

21. M.-L. Wu, C.-H. Chang*, R.-Z. Liu: Co-clustering with Augmented Data Matrix. Applied Intelligence. 39(1): 153-164 (2013).

22. C.-H. Chang*, S.-Y. Lin, M.-F. Tsai, S.-P. Li, H.-M. Liao, and N. E. Huang: Phonetic Component Ranking and Pronunciation Rule Mining for Chinese Picto-phonetic Compounds. International Journal of Computational Linguistics & Chinese Language Processing, 17(3):29-44 (2012).  

23. M.-L. Wu, C.-H. Chang*, R.-Z. Liu, T.-K. Fan: Aggregate Two-way Co-Clustering of Ads and User Data for Online Advertisements, Journal of Information Science and Engineering,  Vol. 28 No. 1. Pages 83-97 (January 2012) [pdf]

24. T.-K. Fan and C.-H. Chang*: Blogger-Centric Contextual Advertising. Journal of Expert Systems With Applications (SCI), Vol.38, Issue 3, pp. 1777-1788, Mar, 2011. (IF:2.908)

25. Q.-X. Lin, C.-H. Chang*, and J.-L. Chen: A Simple and Effective Closed Test for Chinese Word Segmentation Based on Sequence Labeling. International Journal of Computational Linguistics & Chinese Language Processing, Vol. 15, No. 3-4, 2010.

26. T.-K. Fan and C.-H. Chang*: Sentiment Oriented Contexture Advertising. Journal of Knowledge and Information System.Vol. 23, No. 3, pp. 321-344, 2010.

27. M. Kayed and C.-H. Chang*: FiVaTech: Page-Level Web Data Extraction from Template Pages. IEEE Trans. Knowl. Data Eng. Vol. 22. No. 2, pp. 249-263, 2010. [pdf]

28. T.-K. Fan and C.-H. Chang*: Exploring Evolutionary Technical Trends From Academic Research Papers. Journal of Information Science Engineering.Vol. 26, No. 1, pp. 97-117, 2010. [pdf]

29. C.-H. Chang*, S.-Y. Lin, S.-Y. Li, M.-F. Tsai, S.-P. Li, H.-M. Liao, C.-W. Sun, N. E. Huang: Annotating Phonetic Component of Chinese Characters Using Constrained Optimization and Pronunciation Distribution. International Journal of Computational Linguistics & Chinese Language Processing,  Vol. 15, No. 2, Pages 145-159 (June 2010).

30. J.-H. Lin and C.-H. Chang*, “Prediction of Expected Profit for Online Auctions”, Communications of IICM (In Chinese), Vol. 12, No. 5, May 2009.

31. K.-Y. Huang and C.-H. Chang*: Efficient Mining of Frequent Episodes from Complex Sequences, Information Systems, Vol. 33. No. 1, pp. 96-114 (2008). [pdf]

32. K.-Y. Huang, C.-H. Chang*, and Kuo-Zui Lin: EfficientDiscovery of Frequent Continuities by Projected Window List Technology, Journal of Information Science and Engineering, Vol. 24, No. 4, pp. 1041-1064, 2008.

33. Y.C. Wu and C.-H. Chang: Efficient Text Chunking using Linear Kernelwith Mask Method, Knowledge Based Systems, Vol. 20, Issue 3, pp. 209-219, 2007. [pdf] doi:10.1016/j.knosys.2006.04.016

34. C.-H. Chang*, M. Kayed, M. R. Girgis, K. Shaalan: A Survey of Web Information ExtractionSystems, IEEE TKDE (SCI, EI), Vol. 18, No. 10, pp. 1411-1428, Oct. 2006. [pdf]

35. K.-Y. Huang and C.-H. Chang*: SMCA: A General Model for Mining Asynchronous Periodic Patternsin Temporal Databases, IEEE Transactions on Knowledge and Data Engineering (SCI, EI), Vol. 17, No. 6, pp. 774-785, June 2005. [pdf]

36. C.-H. Chang* and Z.-K. Ding: Categorical Data Visualization and Clustering Using Subjective Factors, Data and Knowledge Engineering (SCI expanded), Vol. 53, Issue 3, pp. 243-262, June 2005. [pdf] doi:10.1016/datak.2004.09.001

37. C.-N. Hsu, C.-H. Chang, C.-H. Hsieh, J.-J. Lu, and C.-C. Chang: Reconfigurable Web Wrapper Agents for Biological Information Integration, JASIST Special Issue on Bioinformatics, Vol. 56, No. 5, pp. 505--517, March 2005. 

38. C.-H. Chang* and S.-C. Kuo: OLERA: A semi-supervised approach for Web data extraction with visualsupport, IEEE Intelligent Systems (SCI, EI), Vol. 19, No. 6, pp. 56--64, Dec. 2004. [pdf]

39. C.-H. Chang, J.-J. Chiou, H. Siek, J.-J. Lu, and C.-N. Hsu: Reconfigurable Web Wrapper Agents, IEEE Intelligent Systems (SCI, EI), Vol. 18, No. 5, pp. 34--40, Oct. 2003. [pdf]

40. C.-H. Chang*, C.-N. Hsu, and S.-C. Lui: Automatic Information Extraction FromSemi-Structured Web Pages By Pattern Discovery, Decision Support Systems Journal (SCI expanded), Vol. 35, Issue 1, pp. 129--147, Apr. 2003. [pdf] doi:10.1016/S0167-9236(02)00100-8

41. C.-C. Hsu and C.-H. Chang*: WebYacht: A Concept-based Search Tool for WWW, International Journal on Artificial Intelligence Tools, 2000. [pdf]

42. C.-H. Chang and C.-C. Hsu: Enabling concept-based relevance feedback on World Wide Web, In IEEE Transactions on Knowledge and Data Engineering (SCI), Special Issue on Web Technologies, Vol.11, No.4, pp. 595-609, July/August 1999.

43. C.-H. Chang and C.-C. Hsu: Integrating query expansion and conceptual relevance feedback for personalized Web information retrieval, Computer Networks and ISDN Systems, Vol. 30, pp.621-623, 1998.

44. C.-H. Chang and C.-C. Hsu: Customizable Multi-Engine Search Tool based on Clustering, In Computer Networks and ISDN Systems, Vol. 29, pp.1217-1224, 1997.

International Conference Papers

1. Ren-Der Sun, Chia-Hui Chang, and Kuo-Chun Chien: New Horizons of Legal Judgement Predication via Multi-Task Learning and LoRA, 36th International Conference on Legal Knowledge and Information Systems (Jurix 2023). Maastricht, the Netherlands, 18-20 December 2023. 

2. Yu-Kai Lee and Chia-Hui Chang: Story Co-telling Dialogue Generation based on Multi-Agent Reinforcement Learning and Story Highlights, The 21st Annual Workshop of the Australasian Language Technology Association (ALTA 2023), Melbourne, Australia, Nov. 29-Dec. 1, 2023.

3. Yu-Yen Ting and Chia-Hui Chang: Improving Chinese Fact Checking via Prompt Based Learning and Low Rank Adaptation, The 2023 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2023). Kusadasi, Turkey, 6-9 November 2023

4. Thamolwan Poopradubsil and Chia-Hui Chang: Question-answer pairing from IM conversations via message merging and reply-to prediction, PACLIC 2022.

5. Chia-Hui Chang, Zhi-Xian Liu, Yu-Ching Liao, Yu-Hao Wu , Thamolwan Poopradubsil: Chat-log Disentanglement via Same-Thread Classification and Direct-Reply Prediction, accepted by PACLIC 2022.

6. Chia-Hui Chang, Yu-Ching Liao and Ting Yeh: Event Source Page Discovery via Policy-based RL with Multi-Task Neural Sequence Model, accepted by WISE 2022.

7. Chia-Hui Chang, Cheng-Ju Wu and Tzu-Ping Lin: Automatic Web Data API Creation via Cross-Lingual Neural Pagination Recognition, ICWE 2022.

8. Tai-Jung Kan and Chia-Hui Chang: Home Appliance Review Analysis Via Adversarial Reptile. Web Intelligence 2021.

9. Yu-Hao Wu and Chia-Hui Chang: Multi-Task Neural Sequence Labeling for Zero-Shot Cross-Language Boilerplate Removal. Web Intelligence 2021.

10. Yu-Chieh Chao, Chia-Hui Chang:Automatic Spelling Correction for ASR Corpus in Traditional Chinese Language using Seq2Seq Models. ICS 2020: 553-558 

11. Chia-Hui Chang, Yuan-Hao Lin, Hsiu-Min Chuang: EventGo! Exploring Event Dynamics from Social-Media Posts. ICS 2020: 548-552

12. Yu-Chieh Chao, Chia-Hui Chang: Automatic Punctuation Restoration for corpus in Traditional Chinese Language using Deep Learning. TAAI 2020: 91-96 

13. Yuan-Hao Lin, Chia-Hui Chang, Hsiu-Min Chuang: Mining Events through Activity Title Extraction and Venue Coupling. TAAI 2020: 136-141

14. Gui-Ru Li, Chia-Hui Chang: Semantic role labeling for opinion target extraction from chinese social network. ASONAM 2019: 1042-1047

15. Hsiang-En Cherng, Chia-Hui Chang: Short Text Conversation Based on Deep Neural Network and Analysis on Evaluation Measures. CoRR abs/1907.03070 (2019)

16. Ching-I Lee, Chia-Hui Chang, and Feng-Nan Hwang: Currency Exchange Rate Prediction with Long Short-Term Memory Networks Based on Attention and News Sentiment Analysis, TAAI 2019.

17. Chia-Hui Chang, Yan-Kai Lai, Yu-An Chou: Oviliani Yenty Yuliana, Mobile Website Creation based on Web Data eXtraction and Reuse, JSAI 2019.

18. Chien-Lung Chou and Chia-Hui Chang: “Mining Features for Web NER Model Construction based on Distant Learning”, to appear in The 21th International Conference on Asian Language Processing (IALP2017)

19. Chia Ching Yang, Yu Ching Chen, Yu-Han Chen, Sébastien Montella, Chia-Hui Chang, Pin-Liang Chen, Ping-Che Yang, Tsun Ku: “Structured Learning applied to consumer goods recommended”,  The 2017 Conference on Technologies and Applications of Artificial Intelligence. 

20. Yu-Han Chen, Sébastien Montella, Wei-Han Chen and Chia-Hui Chang "WIDM at the NTCIR-13 STC-2 Task", the 13th NII Testbeds and Community for Information access Research (NTCIR 2017), Japan

21. Yu-Ching Chen, Chia-Ching Yang, Yan-Jian Liau, Chia-Hui Chang, Pin-Liang Chen, Ping-Che Yang, Tsun Ku: User Behavior Analysis and Commodity Recommendation for Point-Earning Apps, TAAI 2016.

22. Oviliani Yenty Yuliana, Chia-Hui Chang, AFIS: Aligning Detail-Pages for Full Schema Induction, TAAI 2016, pp. 220-227, DOI: 10.1109/TAAI.2016.7880164

23. Hsiu-Min Chuang, Chia-Hui Chang, Chung-Ting Cheng: Improving the effectiveness of POI search by associated information summarization. IALP2016: 336-339 [pdf]

24. C.-H. Chang, T.-S. Chen, M.-C. Chen, J.-L. Ding: Efficient Page-Level Data Extraction ViaSchema Induction and Verification. PAKDD 2016 [pdf]

25. H.-M. Chuang, C.-H. Chang: Verification of POI and Location Pairs via Weakly Labeled Web Data. WWW Workshop on Location Web 2015:743-748.

26. C.-L. Chou, C.-H. Chang: Named Entity Extraction via Automatic Labeling and Tri-training: Comparison of Selection Methods. AIRS 2014: 244-255

27. C.-L. Chou, C.-H. Chang, Shin-Yi Wu: Semi-supervised Sequence Labeling for Named Entity Extraction based on Tri-Training: Case Study on Chinese Person Name Extraction. Proceedings of Third Workshop on Semantic Web and Information Extraction, pages 33–40, Dublin, Ireland, August 24, 2014.

28. H.-M. Chuang, C.-H. Chang, and T.-Y. Kao: Effective Web Crawling for Chinese Addresses and Associated Information, The 15th International Conference on Electronic Commerce and Web Technologies (ECWeb 2014), Munich, Germany, Sep. 1-5, 2014. (Acceptance rate: 24%).

29. M.-L. Wu, C.-H. Chang: Parallel co-clustering with augmented matrices algorithm with Map-Reduce, The 16th International Conference on Data Warehousing and Knowledge Discovery (DaWaK 2014), Munich, Germany, Sep. 1-5, 2014. 10.1007/978-3-319-10160-6_17 [pdf]

30. C.-L. Chen and C.-H. Chang: Evaluation of Session-Based Recommendation Systems for Social Networks, Data Mining Workshops (ICDMW), 2013, pp. 758-765. 10.1109/ICDMW.2013.86 

    1. N.-H. Chen and C.-H. Chang: Evaluation of Social, Geography, Location Effects for Point-of-Interest Recommendation, Data Mining Workshops (ICDMW), 2013, pp. 766-772. 10.1109/ICDMW.2013.77 

31. C.-L. Chen and C.-H. Chang: Session-Based Recommendation System for Social Network – Case Study on Tencent Weibo, The 18th Conference on Artificial Intelligence (TAAI 2013), Dec. 6-8, 2013. [pdf]

32. C.-H. Chang, Y.-L. Lin, K.-C. Lin, M. Kayed: Page-Level Wrapper Verification for Unsupervised Web Data Extraction. WISE (1) 2013: 454-467. 10.1007/978-3-642-41230-1_38 [pdf]

33. M.-F. Tsai, C.-H. Hsu, C.-H. Chang, H.-M. Liao, S.-P. Li, D. H. Wu: Primary Chinese Semantic-Phonetic Compounds Pronunciation Rules Mining and Visualization, the 25th conference on Computational Linguistics and Speech Processing (ROCLING 2013), Oct. 4-5, 2013.

34. C.-H. Chang, J.-M. Chen: Automatic Extraction of Blog Post from Diverse Blog Pages. Web Intelligence 2012: 129-136. 10.1109/WI-IAT.2012.25 [pdf]

35. C.-H. Chang, K.-H. Huo: Increasing Broadband Subscriptions for Telecom Carriers through Mobile Advertising. AIRS 2011: 127-136. 10.1007/978-3-642-25631-8_12 [pdf]

36. M.-L. Wu, C.-H. Chang, R.-Z. Liu: Co-clustering with Augmented Data Matrix. DaWaK 2011: 289-300. 10.1007/978-3-642-23544-3_22 [pdf]

37. C.-H. Chang, Kuan-Hua Huo: Mobile Advertising: Triple-win for Consumers, Advertisers and Telecom Carriers, SIGIR 2011 Workshop: Internet Advertising (IA2011)

38. M.-L. Wu, C.-H. Chang, R.-Z. Liu, T.-K. Fan: Aggregate Two-way Co-Clustering of Ads and User Analysis for Online Advertisements, International Computer Symposium (ICS), Dec. 16-18, 2010.

39. T.-K. Fan and C.-H. Chang: Learning to Predict Ads Click Based on Boosted Collaborative Filtering. The 2nd IEEE International Conference on Social Computing (SocialCom2010), Aug. 20-22, 2010, Minneapolis, Minnesota, USA.

40. C.-H. Chang and S.-Y. Lee. MapMarker: Extraction of Postal Addresses And Associated Information for General Web Pages, IEEE/WIC/ACM International Joint Conferences on Web Intelligence and Intelligent Agent Technologies (WI-IAT 2010), Toronto, Canada. Sep. 1-3, 2010.

41. T.-K. Fan and C.-H. Chang: Blogger-Centric Contextual Advertising. Proceedings of the 18th ACM Conference on Information and Knowledge Management, CIKM 2009 (Short paper), Hong Kong. Nov. 2-6, 2009. pp. 1803-1806.

42. C.-H. Chang and J.-H. Lin: Decision Support and Profit Prediction for Online Auction Sellers. The First ACM SIGKDD Workshop on Knowledge Discovery from Uncertain Data (U'09)

43. T.-K. Fan and C.-H. Chang: Sentiment Oriented Contextual Advertising. ECIR 2009. LNCS series.

44. T.-K. Fan and C.-H. Chang: Exploring Evolutionary Technical Trends From Research Papers. The Eighth IAPR Workshop on Document Analysis Systems, DAS2008 (poster session). Nara, Japan. Sep 16-19, 2008.

45. C.-H. Chang, S.-F. Yang, C.-M. Liou, M. Kayed: Gadget Creation for Personal Information Integration on Web Portals, IEEE International Conference on Information Reuse and Integration (short paper), Las Vegas, USA, 2008.

46. M. Kayed, C.-H. Chang, K. Shaalan, and M. Ramzy Girgis: FiVaTech: Page-Level Web Data Extraction from Template Pages, ICDM 2007, Workshop on Web2.0 Environment, Omaha, NE, USA. Oct. 28-31, 2007.

47. C.-H. Chang and K.-C. Tsai: Aspect Summarization from Blogsphere for Social Study, ICDM 2007, Workshop on Web2.0 Environment, Omaha, NE, Oct. 28-31, 2007.

48. K.-Y. Huang, C.-H. Chang, Jiun-Hung Tung, Cheng-Tao Ho: COBRA: Closed Sequential Pattern Mining Using Bi-phase Reduction Approanch, Accepted by DaWak 2006, Krakow, Poland.

49. Y.-C. Wu, C.-H. Chang, Y.-S. Lee: A General and Multi-lingual Phrase Chunking Model Based on Masking Method. Proceedings of the 7th International Conference on Computational Linguistics and Intelligent Text Processing (CICLING 2006), Mexico City, Mexico, February 19-25, 2006. LNCS 3878, pp. 144--155.

50. K.-Y. Huang and C.-H. Chang: Efficient Mining Strategy for Frequent Serial Episodes in Temporal Database, The 8th Asia Pacific Web Conference (short paper), Harbin, China, Jan. 16-18, 2006. LNCS 3841, pp. 824--829.

51. K.-Y. Huang, C.-H. Chang, and Kuo-Zui Lin: ClosedPROWL: Efficient Mining of Closed Frequent Continuities by Projected Window List Technology, SIAM International Conference on Data Mining (short paper), CA, USA, Apr. 21-23, 2005.

52. K.-Y. Huang, C.-H. Chang, and Kuo-Zui Lin: COCOA: An Efficient Algorithm for Mining Inter-transaction Associations for Temporal Database, In the Proceedings of the 8th European Conference on Principles and Practice of Knowledge Discovery in Databases (PKDD04 (poster), Pisa, Italy, 2004. LNAI 3202 (SCI expanded), pp. 509--511.

53. C.-H. Chang and Z.-K. Ding: Categorical Data Visualization and Clustering using Subjective Factors, In the Proceedings of the 6th International Conference on Data Warehousing and Knowledge Discovery (DaWaK04), Zaragoza, Spain, 2004. LNCS 3181 (SCI expanded), pp. 229-238.

54. K.-Y. Huang and C.-H. Chang: Mining Periodic Patterns in Sequence Data, In the Proceedings of the 6th International Conference on Data Warehousing and Knowledge Discovery (DaWaK04), Zaragoza, Spain, 2004. LNCS 3181 (SCI expanded), pp. 401-410.

55. K.-Y. Huang, C.-H. Chang, and Kuo-Zui Lin: PROWL: An Efficient Frequent Continuity Mining Algorithm on Event Sequences, In the Proceedings of the 6th International Conference on Data Warehousing and Knowledge Discovery (DaWaK04), Zaragoza, Spain, 2004. LNCS 3181 (SCI expanded), pp. 351-360.

56. C.-H. Chang and S.-C. Kuo: OLERA: On-Line Extraction Rule Analysis for Semi-structured Documents, The IASTED International Conference on ARTIFICIAL INTELLIGENCE AND APPLICATIONS (AIA 2004). Feb. 16-18, 2004, Austria.

57. K.-Y. Huang and C.-H. Chang: Asynchronous Periodic Pattern Mining from Multi-event Time Series Databases, The IASTED International Conference on DATABASES AND APPLICATIONS (DBA 2004), Feb. 17-19, 2004, Austria.

58. C.-N. Hsu, C.-H. Chang, H. Siek, J.-J. Lu, J.-J. Chiou: Reconfigurable Web Wrapper Agents for Web Information Integration, IJCAI 2003 Workshop on Information Integration on the Web, IIWeb-03, Aug. 2003, pp. 15-20.

59. C.-H. Chang and Shi-Hsan Yang: Enhancing SWF for Incremental Association Mining by Itemset Maintenance, In the Proceedings of the seventh Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD03), Korea, 2003. LNAI 2637 (SCI expanded), pp. 301-312.

60. C.-H. Chang: Sequential Pattern Mining for Web Extraction Rule Generalization, The 6th World multiconference on Systemics, Cybernetics and Informatics, July 14-18, 2002, Orlando, Florida

61. C.-H. Chang, S.-C. Kuo, K.-Y. Hwang, T.-H. Ho and C.-L. Lin: Automatic Information Extraction for Multiple Singular Web Pages, In the Proceedings of the sixth Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD02), Taiwan, 2002. LNAI 2336 (SCI expanded), pp. 297-303.

62. C.-H. Chang. and S.-C. Lui: IEPAD: Information Extraction based on Pattern Discovery, In the Proceedings of the tenth International Conference on World Wide Web (WWW10), pp. 681-688, May 2-6, 2001, Hong Kong.

63. C.-H. Chang., S.-C. Lui, and Y.-C. Wu: Applying Pattern Mining to Web Information Extraction, In the Proceedings of the fifth Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD01), Hong Kong, 2001. LNAI 2035 (SCI expanded), pp. 4-15.

64. C.-H. Chang, S.-C. Lui, and Y.-C. Wu: Semi-structured Information Extraction Applying Automatic Pattern Discovery , In Proc. of the fourteenth International Computer Symposium (ICS2000), Chia-Yi, Taiwan, Dec. 6-8. 2000.

65. C.-H. Chang and C.-N. Hsu: Automatic Extraction of Information Blocks Using PAT Trees , In Proc. of the National Computer Symposium, Dec. 20-21, 1999, Taipei, Taiwan

66. C.-H. Chang, C.-C. Hsu and C.-L. Hou: Exploiting Hyperlinks for Automatic Information Discovery on the WWW , In Proc. of the tenth IEEE International Conference on Tools with Artificial Intelligence, (ICTAI98), Nov. 1998, Chien Tan Youth Activity Center, Taipei, Taiwan.

67. C.-H. Chang and C.-C. Hsu: Hypertext Information Retrieval for Short Queries , In Proc. of the IEEE Knowledge and Data Engineering Exchange Workshop, Nov. 1998, Chien Tan Youth Activity Center, Taipei, Taiwan.

68. C.-H. Chang and C.-C. Hsu: Enabling Web Information Retrieval through Query Expansion via Contrast Analysis , In Proc. of the seventh International Conference on World Wide Web (WWW7), Apr. 14-18, 1998, Brisbane, Queensland, Australia

69. C.-H. Chang and C.-C. Hsu: Constructing Personal Information Search Agents , In Proc. of the second Pacific Asia Conference on Knowledge Discovery and Data Mining (PAKDD98), Melbourne, Australia, 1998. LNAI 1394 (SCI expanded), pp. 374-375.

70. C.-H. Chang and C.-C. Hsu: A Multi-Engine Search Tool based on Clustering , In Proc. of the sixth international conference on World Wide Web, (WWW6), Apr.7-11, 1997, Santa Clara, CA

71. C.-H. Chang and C.-C. Hsu: Infomation Searching and Exploring Applying Clustering and Genetic Algorithm , In Proc. of the first Agent Technology Workshop, Dec. 4, 1997, Taipei, Taiwan

Book Chapters

1. C.-H. Chang and C.-N. Hsu: Learning Information Extraction Rules for Web Data Mining, Encyclopedia of Data Warehousing and Mining, Idea Group Inc. (April 2005).

Patents

1. C.-H. Chang and S.-C. Kuo: OnLine Extraction Rule Analysis for Semi-structured Documents” (半結構化文件的資訊擷取方法), no: I 237780, ROC, 2005.

Domestic Conference Papers (In Chinese)

1. 黃冠傑、黃淯銘、張嘉惠、黃覺修、鍾曉芳、鄭芳祥: 通過實體和事件關係標記改進問題答案對生成的 控制 , NCS2023. 

2. 許志仲、朱翊瑄、劉晨鐘、張嘉惠、温采婷: 基於生成式語言模型之科學探究教學代理之提示詞框架與系統設計, NCS2023.

3. 李聿鎧、張嘉惠: 應用強化學習與知識圖譜於故事共述生成之研究, ROCLING 2023

4. 葉丞鴻、張嘉惠: 中文訊息傳遞服務對話系統之建構, ROCLING 2023.

5. 葉丞鴻, 李聿鎧, 張嘉惠: 多領域任務導向用戶語音助理對話收集系統, TAAI 2022.

6. 洪裕翔, 張嘉惠: 通過生成式文本摘要改進口語法律案件預測效能之研究, TAAI 2022.

7. 李逸軒, 張嘉惠: 基於強化式學習結合自編碼器壓縮特徵之資產配置方法, TAAI 2022.

8. 黃紫嫺, 張嘉惠: 基於常識知識的移情對話回覆生成. ROCLING 2022: 299-306

9. 高愷言, 張嘉惠: 應用自動資訊擷取於故事書問答生成之研究. ROCLING 2022: 289-298

10. 廖于晴, 張嘉惠. 應用強化式學習探勘活動來源網頁, TAAI 2021.

11. 吳昱豪, 張嘉惠. 應用多任務序列標記模型於零樣本跨語言網頁模板移除之研究, TAAI 2021. 

12. 吳承儒, 張嘉惠. 基於自動分頁預測之大規模資料應用程式介面建置 - 以活動擷取為例, TAAI 2021.

13. 曾筱雯, 張嘉惠, 莊秀敏, 基於參數生成網路的遷移學習進行情感分析和歌手命名識別, ROCLING 2021. 

14. 甘岱融, 張嘉惠, 莊秀敏, 應用對抗式 Reptile 於家電產品網路評論之研究, ROCLING 2021. 

15. 林政憲, 張嘉惠. 情緒及技術指標於股票漲跌幅排名預測及動態投資組合最佳化之研究, TAAI 2020. 

16. 陳震瑜, 張嘉惠, 邱裕民. 應用網路聲量及情緒分析於熱門歌曲點播量預測, TAAI 2020. 

17. 邱威誠, 張嘉惠. 應用AutoNER於社群網路中文歌手名稱辨識之研究, TAAI 2020 (poster).

18. 王育任, 張嘉惠: 利用Attentive來改善端對端中文語篇剖析遞迴類神經網路系統, ROCLING 2019.

19. 劉至咸, 張嘉惠: 基於訊息配對相似度估計的聊天記錄解構, ROCLING 2019.

20. 陳震瑜, 邱威誠, 張嘉惠, 邱裕民, 莊秀敏: 運用多領域資料結合深度學習技術於音樂論壇評論之情感分析, TAAI 2019.

21. 簡國峻, 張嘉惠, 利用記憶增強條件隨機場域之深度學習及自動化詞彙特徵於中文命名實體辨識之研究, TAAI 2018. 

22. 許國信, 張嘉惠, 莊秀敏, 周建龍: “應用興趣點辨識技術從Web中挖掘新商家資訊”, ROCLING 2017.

23. 鐘智宇, 周建龍, 張嘉惠: “PTT網站餐廳美食類別擷取之研究”, ROCLING 2017.

24. 蔣佳峰, 張嘉惠, 劉志灝: “PTT災害事件擷取系統”, TAAI 2017. 

25. 楊鎧謙, 張嘉惠, 劉胥影: “On Large-Scale Multi-Label Classification for POI Tagging”, TAAI 2017.

26. 張國斌, 張嘉惠: “透過 POI 的過期驗證以持續維護POI資料庫”, TAAI 2017.

27. 楊佳靜, 張嘉惠: “結構化學習應用於消費型商品推薦”, TAAI 2017.

28. 凌杰甫, 張嘉惠: 商家與圖片配對研究. TAAI 2016.

29. 許國信, 莊秀敏, 張嘉惠. 基於查詢結果與特徵推導之廠商及產品關聯推斷技術. TAAI 2016.

30. 陳昱瑾, 楊佳靜, 廖彥鈞, 張嘉惠, 陳品良, 楊秉哲, 谷圳: 使用者行為分析與商品推薦應用於集點APP. TAAI 2016.

31. 林圓皓, 張嘉惠: Facebook 活動事件擷取系統(Facebook Activity Event Extraction System), ROCLING 2016.

32. 鄭仲庭, 莊秀敏: 張嘉惠, 整合多種搜尋結果以提高POI搜尋的準確性, TAAI 2015.

33. 丁中立, 張嘉惠: 完整綱要推導之改進, TAAI 2015.

34. 黃雅筠, 張嘉惠, 周建龍: 基於已知名稱搜尋結果的網路實體辨識模型建立工具 (A Tool for Web NER Model Generation Using Search Snippets of Known Entities, ROCLING 2015.

35. 高霆耀, 莊秀敏, 張嘉惠: 基於Web之商家景點擷取與資料庫建置 (Points of Interest Extraction from Unstructured Web), ROCLING 2015.

36. 林育暘, 張嘉惠: 網頁商家名稱擷取與地址配對之研究 (Store Name Extraction and Name-Address Matching on the Web). ROCLING 2014, [In Chinese]

37. 吳宗庭, 張嘉惠: 利用核依賴估計來進行多軌自動混音 (Automatic Multi-track Mixing by Kernel Dependency Estimation). ROCLING 2014

38. 陳天盛, 陳明權, 張嘉惠: 基於頁面層級之快速網頁資料擷取與綱要驗證.The 19th Conference on Artificial Intelligence (TAAI 2013), Nov. 21-23, 2014.

39. 陳明權, 陳天盛 與 張嘉惠: 應用路徑資訊輔助樣板探勘於網頁層級之資料擷取研究, The 18th Conference on Artificial Intelligence (TAAI 2013), Dec. 6-8, 2013.

40. 吳宗庭, 林育暘 與 張嘉惠: 探索式線上分析處理在網路附加儲存系統之應用, The 18th Conference on Artificial Intelligence (TAAI 2013), Dec. 6-8, 2013.

41. 陳宜勤, 賴郁婷, 莊秀敏 與 張嘉惠: 加入 Google Snippets 改善網頁商家多標籤分類, The 18th Conference on Artificial Intelligence (TAAI 2013), Dec. 6-8, 2013.

42. 張嘉惠, 吳文斌: 以聲符部件為主之漢字學習系統設計研究 (The Design of Chinese Character Learning System Based on Phonetic Components), the 24th conference on Computational Linguistics and Speech Processing (ROCLING 2012), Sep. 21-22, 2012.

43. 張嘉惠, 林書彥: 聲符部件排序與形聲字發音規則探勘 (Phonetic Component Ranking and Pronunciation Rule Mining for Chinese Picto-phonetic Compounds). Computational Linguistics and Speech Processing (ROCLING 2011), Sep. 8-9, 2011.

44. 張嘉惠, 李淑瑩, 林書彥, 黃嘉毅, 陳志銘: 以最佳化及機率分佈判斷漢字聲符之研究 (Prediction of Phonetic Component for Picto-phonetic Compounds), ROCLING, Sep. 1-2, 2010.

45. 李淑瑩, 張嘉惠. 英文郵政地址與鄰近相關資訊擷取之研究 (Application and Extraction of Postal Addresses and Related Information). The 14th Conference on Artificial Intelligence (TAAI 2009).

46. 楊萍華, 張嘉惠. 以自動標記法建立部落格主文擷取之分類器 (Automatic Labeling for Blog Post Extraction). 2009 National Computer Symposium (NCS 2009). Taipei University, Taiwan.

47. Shih-Feng Yang and Chia-Hui Chang. Multiple Source Data Management for Gadget Creation on Web Portals. The 13th conference on Artiticial Intelligence and and Application (TAAI 2008).

48. Jun-Hong Lin and Chia-Hui Chang. Predicting the end-price and sold probability of online auctions for higher profit. The 13th conference on Artiticial Intelligence and and Application (TAAI 2008).

49. Chieh-Cheng Yang and Chia-Hui Chang. A two-phase Approach to Chinese Unknown Word Extraction: Application of Pattern Mining and Machine Learning. The 13th conference on Artiticial Intelligence and and Application (TAAI 2008).

50. Shu-Gang Han and Chia-Hui Chang. Cleaning of Auction Data for Bidding Decision, 2007 National Computer Symposium (NCS 2007), Asia University, Taiwan.

51. Shu-Han Hu and Chia-Hui Chang. Conference Information Extraction: Segmentation Base Approach, The 11th conference on Artiticial Intelligence and and Application (TAAI 2006).

52. Jen-Yu Liu and Chia-Hui Chang. Web page Classification and Cleaning for Information Extraction, The 11th conference on Artiticial Intelligence and and Application (TAAI 2006).

53. Qian-Xiang Lin and Chia-Hui Chang. Chinese Word Segmentation using Specialized HMM. ROCLING XVIII: Conference on Computational Linguistics and Speech Processing (ROCLING 2006).

54. Yu-De Chu and Chia-Hui Chang. MAGEN: An Adaptive Conversational System Based On Terms. ROCLING XVIII: Conference on Computational Linguistics and Speech Processing (ROCLING 2006).

55. Zhi-Yui Yang, Yu-Chieh Wu and Chia-Hui Chang. Ranking by Sentence Categorization for Question Answering Systems. The 9th conference on Artiticial Intelligence and and Application (TAAI 2004).

56. Hong-Ru Lee and Chia-Hui Chang. Web Cleaning: Page Segmentation and Data-rich Section Mining, The 1st Workshop on Intelligent Web Technology, IWT2004, In conjuction with the 16th ROCLING Conference.

57. C.-H. Chang, D.-S. Wu. Information Extraction and Query Model Design for Taiwan Wild Bird Database, 2003 The Joint Conference on AI, Fuzzy System, and Gray System, Taipei, Taiwan, Dec. 4-6, 2003.

58. C.-H. Chang, Information Extraction: A Pattern Mining Approach for Free-Form Text, 2003 The Joint Conference on AI, Fuzzy System, and Gray System, Taipei, Taiwan, Dec. 4-6, 2003.