Professor HU, Xiao

• [NEW!]  Dr. Hu is currently recruiting new *fully-funded* PhD students who are interested in learning analytics an/or educational text mining. Deadline: Dec. 1, 2023. Please contact me if interested.
• Dr. Hu's research focuses on the intersection of information technologies and user behaviors. She uses machine learning and data mining methods to analyze user interactions with information systems. She mainly works in three domains: learning analytics, affective computing, and cultural heritage informatics. 
• Dr. Hu's research is featured in the HKU Growing Human Capital through the Strategically Oriented Research Themes (SORT)　
• Dr. Hu's Google scholar page: https://scholar.google.com.hk/citations?user=_0DuC1sAAAAJ 
• Major projects led by Dr. Hu are presented in the website of the CCMIR lab: http://ccmir.cite.hku.hk/　
• Dr. Hu is currently recruiting graduate and undergraduate students to work on projects on building various I.T. tools for improving people's learning and well-being. If you are proficient in machine learning and data analysis (e.g., Python, Matlab), web programming (PHP, JavaScript, etc.), MySQL, and/or familiar with visualization packages (e.g., AngularJS, Django), please feel free to contact her. Familiarity with HTML, CSS, React and virtual reality will be an advantage.

Best Papers/Posters

• Best Student Paper Award, International Conference on Advanced Learning Technologies (ICALT), 2023
• Best Paper Nomination, International Conference on Advanced Learning Technologies (ICALT), 2022
• Finalist, Best Short Paper Award, iConference, 2021
• Best Practitioner Full Paper Nomination, ACM Int'l Conference on Learning Analytics & Knowledge (LAK), 2018
• Best Chinese Paper Award, iConference, 2017
• Best Poster Presentation, ACM/IEEE Joint Conference on Digital Libraries (JCDL), 2014
• Finalist, Van Bush Best Paper Award, ACM/IEEE Joint Conference on Digital Libraries (JCDL), 2012
• Best Student Paper Award, ACM/IEEE-CS Joint Conference on Digital Libraries (JCDL), 2010
• Best Student Paper Award, iConference 2010 Jean Tague-Sutcliffe Doctoral Research Poster Competition, 3rd place, ALISE 2010
• Best Poster Award Runner-up, Joint Conference on Digital Libraries, 2008
• Best Poster Award Runner-up, Digital Humanities Annual Conference, 2006
• Best Poster Award, Joint Conference on Digital Libraries, 2005

Awards

• The 44th Round Postdoc/Research Assistant Professor Scheme, University Research Committee (URC), 2021-22.
• UGC Teaching Award (Teams), 2019
• Women in Music Information Retrieval (WiMIR) Award, ISMIR, 2016, 2017
• Berner-Nash Best Doctoral Dissertation, University of Illinois, 2011

Scholarships

• HKU Oversea Fellowship, 2019
• Visiting Scholarshp, Graduate Program in Informatics, Pontifical Catholic University of Paraná, Brazil, 2018
• Visiting Scholarship, Academic Sinica, Taiwan, 2016
• Non-MOU Visiting Scholarship, National Institution of Informatics, Japan, 2011
• Houchens Fellowship, University of Illinois, 2008
• Irwin Lois Wells Fellowship, University of Illinois, 2008
• Scholarship of Library and Information Science, Chinese American Librarians Association, 2006

Travel Awards

• SIGWEB Student Travel Award for Joint Conference on Digital Libraries 2010
• Doctoral Colloquium Travel Bursary, iConference 2010
• Doctoral Consortium Travel Bursary, Joint Conference on Digital Libraries 2009
• Annual Conference Bursary, Association for Computers and the Humanities 2006
• Student Travel Bursary, Chicago Colloquium on Digital Humanities and Computer Science 2006
• Graduate School of Library & Information Science Conference Travel Awards 2005 – 2010

External Grants as PI: 

• Learning Analytics, Pedagogy, and Technology for Virtual Reality Maker Activities, General Research Fund, Research Grants Council, 2024 - 2026
• Protecting Hong Kong Environment through Virtual Reality Creation. Environment and Conservation Fund, 2023 - 2025
• Background Music for Learning: A Multidisciplinary Approach, General Research Fund, Research Grants Council, 2019 - 2021
• Music Recommender Systems Based on Physiological Signals, Young Scholar Science Fund, National Natural Science Foundation of China, 2018 - 2020
• Learning Analytics for Wiki-based Learning Environments in Primary and Secondary Schools, Early Career Scheme, Research Grants Council, 2015 - 2017

Internal Grants as PI: 

• Developing and Evaluating Interdisciplinarity and Internationalization in the Curriculum of Bachelor of Arts and Sciences in Social Data Science, Teaching Development Grant, University of Hong Kong, 2020 - 2022
• Improving Teaching and Learning of Common Core Courses through Learning Analytics, Teaching Development Grant, University of Hong Kong, 2015 - 2016
• Feasibility Study on Integrating Learning Analytics into E-Learning Platforms for Schools, Seed Funding for Applied Research, University of Hong Kong, 2014 - 2015
• Enhancing Teaching and Learning through Integrating Mobile Learning with Learning Management Systems, Teaching Development Grant, University of Hong Kong, 2014 - 2016
• Assessment of Collaborative Learning on Social Media: An Automated Mechanism, Faculty Teaching Development Fund, University of Hong Kong, 2014 - 2016
• Mining Wiki Logs and Content of Secondary Students in Hong Kong, Faculty Research Fund, University of Hong Kong, 2014
• Cross-cultural Music Information Retrieval: A Chinese Perspective, Seed Funding for Basic Research, University of Hong Kong, 2013 - 2014
• User-centered Evaluation of Music Information Retrieval Faculty Research Fund, University of Denver, 2012
• Modeling and Predicting Task Difficulty in Searching for Music, Collaborative Research (with Prof. Noriko Kando), National Institute of Informatics, Japan, 2013 - 2014
• Creating Online Courses: LIS 4804 Digital Objects and Collections, Center for Teaching and Learning Grant, University of Denver, 2012
• DU Learning Ecosystem: A Pilot Grant (Led by Drs. Lyndsay Agans and Karen Riley) GATES Foundation, 2012
• MCEconnect: A 21st Century Framework for Faculty Development (Led by Dr. P. Bruce Uhrmacher) Center for Teaching and Learning Grant, University of Denver, 2011

Please see most current publications in my Google Scholar page (https://scholar.google.com.hk/citations?user=_0DuC1sAAAAJ) or CCMIR's ResearchGate page (https://www.researchgate.net/lab/CCMIR-Xiao-Hu)

Peer-reviewed book chapters

• Hu, X.,Qiao, C., & Fu, K.-W. (2017). Weibo. In L, Sloan & Quan-Haase, A. (Eds.) SAGE Handbook of Social Media Research Methods. (pp.593 – 609). London, U. K.: SAGE.
• Hu, X., Lei, L. C. U., Li, J., Iseli-Chan, N., Siu, F. L., & Chu, S. K. W. (2016). Access Moodle Using Mobile Phones: Student Usage and Perceptions. In Mobile Learning Design: Theories and Application (pp. 155-171). Springer Singapore. DOI=10.1007/978-981-10-0027-0_10 [PDF]

Peer-reviewed journal articles

• Hu, X. (2019). Evaluating mobile music services in China: An exploration in user experience, Journal of Information Science. 45(1), 16–28, https://doi.org/10.1177/0165551518762070 (Impact factor: 2.327)
• Qiao, C., & Hu, X. (2019). Text classification for cognitive domains: A case using lexical, syntactic and semantic features. Journal of Information Sciencehttps://doi.org/10.1177/0165551518802522 (IF: 2.317)
• Chu, S., Hu, X. & Ng, J. (2019). Exploring secondary school students’ self-perception and actual understanding of plagiarism. Journal of Librarianship & Information Sciencehttps://doi.org/10.1177/0961000619872527 (IF: 1.203)
• Hu, X., Ng, J. T. D., & Xia, S. (2018). User-centered evaluation of metadata schema for non-movable cultural heritage: Murals and stone cave temples. Journal of the Association for Information Science and Technology. 69(12), 1476-1487. (IF: 2.738)
• Liu, M. Hu, X., & Schedl, M. (2018). The relations of culture, socio-economics, and friendship on music preferences: A large-scale, cross-country study. PLOS One. 13(12)https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0208186 (IF: 2.776)
• Hu, X. (2018). Usability evaluation of cultural heritage digital libraries: A case of e-dunhuang. Data and Information Management. 2(2), 57-69.
• Liu, M., Hu, X., Wang, Y., & Shi, D. (2018). Survive or perish: Investigating the life cycle of academic journals from 1950 to 2013 using survival analysis methods, Journal of Informetrics. 12(1), 344-364. (IF: 3.879)
• Haruna, X., & Hu, X. (2018). International trends in designing electronic health information literacy for health sciences students: A systematic review of the literature, The Journal of Academic Librarianship. 44(2), 300-312. (IF: 1.608).
• Hu, X., Cheong, C.-W., Zhang, S., & Downie, J. S. (2018). Mood metadata on Chinese music websites: An exploratory study with user feedback, Online Information Review. 42(6), 864-879. https://doi.org/10.1108/OIR-01-2017-0023 (IF: 1.928)
• Hu, X., Cheong, C.W., & Chu, S. K. W. (2018). Developing a multidimensional framework for analyzing student comments in Wikis, Journal of Educational Technology and Society. 69(12), 1476-1487. (IF: 2.133)
• Haruna, H., Hu, X., & Chu, S. K. W. (2018). Adolescent school-based sexual health education and training: A literature review on teaching and learning strategies, Global Journal of Health Science, 10(3), 172-183. [PDF]
• Lai, C., Hu, X., & Lyu, B. (2018). Understanding the nature of learners' out-of-class language learning experience with technology. Computer Assisted Language Learning, 31(1-2), 114-143. (IF: 2.018).
• Li, Y., Ge, M., Chen, Q., Hu, X., & Chu, S. K. W. (2017). Secondary school students’ source reporting and evaluation in project writing, Writing & Pedagogy, 9(2), 301-330.
• Liu, M., Hu, X., & Li, J. (2017). Knowledge flow in China's humanities and social sciences. Quality & Quantity, 1-20. [PDF] (IF: 1.072)
• Haruna, H., Tshuma, N., & Hu, X. (2017). Health information needs and reliability of sources among non-degree health sciences students: A prerequisite for designing e-health literacy, Annals of Global Health, 83(2), 369-379. [PDF] (IF: 2.037)
• Hu, X. (2017). Automated recognition of thinking orders in secondary school student writings. Learning: Research and Practice, 3(1), 30-41.
• Hu, X., Ho, E. M. Y., & Qiao C. (2017). Digitizing Dunhuang cultural heritage: A user evaluation of Mogao cave panorama digital library. Journal of Data and Information Science, 2(3), 49–67. [PDF]
• Hu, X. & Yang, Y.- H. (2017). The mood of Chinese Pop music: Representation and recognition. Journal of the Association for Information Science and Technology. [Preprint] (IF: 2.738)
• Hu, X. & Kando, N. (2017). Task Complexity and Difficulty in Music Information Retrieval. Journal of the Association for Information Science and Technology. [Preprint] (IF:2.738)
• Hu, X., Choi, K., & Downie, J. S. (2017). A framework for evaluating multimodal music mood classification, Journal of the Association for Information Science and Technology, 68(2), 273 – 285. [Preprint] DOI=10.1002/ASI.23649 (IF:2.738)
• Hu, X., Lee, J., Bainbridge, D., Choi, K., Organisciak, P., & Downie, J. S. (2017). The MIREX Grand Challenge: A framework of holistic user experience evaluation in music information retrieval, Journal of the Association for Information Science and Technology, 68(1), 97–112. [Preprint] DOI=10.1002/ASI.23618 (IF: 2.738)
• Hu, X., & Yang, Y. H. (2017). Cross-dataset and cross-cultural music mood prediction: A case on western and Chinese pop songs. IEEE Transactions on Affective Computing, 8(2), 228-240. DOI=10.1109/TAFFC.2016.2523503 [Preprint] (IF: 6.288)
• Lai, C., Wang, Q., Li, X., & Hu, X. (2016). The influence of individual espoused cultural values on self-directed use of technology for language learning beyond the classroom. Computers in Human Behavior, 62, 676-688. (IF: 4.306)
• Hu, X. & Lee, J. H. (2016). Towards Global Music Digital Libraries: A Cross-Cultural Comparison on The Mood of Chinese Music. Journal of Documentation. [Preprint] (IF: 1.573)

Peer-reviewed publications in formal conference proceedings

• Kong, R., & Hu, X., Yuen, A.H.K. (2020, January). Understanding engagement using multimodal data. In Proceedings of the 53th Hawaii International Conference on System Sciences (HICSS). IEEE (Google Scholar h5 index: 40)
• Hu, X., Li, F. & Kong, R. (2019). Can background music facilitate learning? Preliminary results on reading comprehension. In Proceedings of the 9th International Conference on Learning Analytics and Knowledge (LAK), Phoenix, US. (h5 index: 36, ranked No. 6 in Educational Technology)
• Qiao, C. & Hu, X. (2019). Measuring knowledge gaps in student responses by mining networked representations of texts. In Proceedings of the 9th International Conference on Learning Analytics and Knowledge (LAK), Phenix, US. (h5 index: 36, ranked No. 6 in Educational Technology)
• Hu, X., Y. Que, N. Kando, W. Lian (2019). Analyzing User Interactions with music information retrieval system: An eye tracking approach. In Proceedings of the 20th International Society for Music Information Retrieval Conference (ISMIR), Delft, The Netherlands, Nov. 4-8, 2019. (h5 index: 32, ranked No. 9 in Multimedia)
• Zhou, Z., Tam, V., Lui, K. S., Lam, E., Yuen, A., Hu, X. & Law, N. (2019). Applying Deep Learning and Wearable Devices for Educational Data Analytics. In Proceedings of the IEEE 31st International Conference on Tools with Artificial Intelligence (ICTAI 2019), Portland, Oregon, Nov. 4-6, 2019. (h5 index: 19)
• Hu, X., Ng, J. & Lee, J. H. (2019). VR creation experience in cultural heritage education: A preliminary exploration, In Proceedings of the 82th Annual Meeting of Association for Information Science and Technology (ASIS&T). (h5 index: 14)
• Ng, J., Hu, X., Luo, M. & Chu, S. (2019). Relations among participation, fairness and performance in collaborative learning with Wiki-based analytics, In Proceedings of the 82th Annual Meeting of Association for Information Science and Technology (ASIS&T). (h5 index: 14)
• Lei, C.-U., Hou, X., Gonda, D. & Hu, X. (2018, March). Evaluating the adoption of a badge system based on seven principles of effective teaching, In Proceedings of the 8th International Conference on Learning Analytics and Knowledge (LAK), Sydney, Australia. (Best Practitioner Full Paper Nomination). (h5 index: 36, ranked No. 6 in Educational Technology)
• Qiao, C., & Hu, X. (2018). Discovering student behavior patterns from event logs: Preliminary results on a novel probabilistic latent variable model. In Proceedings of the 18th IEEE International Conference on Advanced Learning Technologies (ICALT 2018). July 9^th to 13^th, 2018, Bombay, India. (h5 index: 18)
• Hu, X., Li, F., & Ng, J. (2018). On the relationships between music-induced emotion and physiological signals. In Proceedings of the 19th International Society for Music Information Retrieval Conference (ISMIR), Sept. 23 - 27, 2018. (h5 index: 32, ranked No. 9 in Multimedia)
• Hu, X., Tam, I. K. K., Liu, M. & Downie, J. S. (2018). Music artist similarity: An exploratory study on a large-scale dataset of online streaming services. Accepted to the Proceedings of the iConference. Springer.
• Hu, X., Ng, J., Xia, S., & Fu, Y. K. Y. (2017). Evaluating metadata schema for murals and stone cave temples: Towards digitizing cultural heritage. Proceedings of the 80th Annual Meeting of Association for Information Science and Technology (ASIS&T), 54(1), 491-494.
• Tavernier, M. & Hu, X. (2017). Developing young children’s technology-based communication skills using iPads and creation apps: An action study, In Proceedings of the 80th Annual Meeting of the Association for Information Science and Technology, Washington D.C. (Crystal City, Virginia), USA, Oct. 27-Nov 1. 2017.
• Hu, X., Yu, B., Alman, S., Renear, A., & Carbo, T. (2017). Teaching Information Science and Technology to the World? Practices, Challenges and Visions, Panel, In Proceedings of the 80th Annual Meeting of the Association for Information Science and Technology, Washington D.C. (Crystal City, Virginia), USA, Oct. 27-Nov 1. 2017.
• Liu, M., Hu, X., & Schedl, M. (2017). Artist Preferences and Cultural, Socio-economic Distances across Countries: A Big Data Perspective, In Proceedings of the 18th International Conference on Music Information Retrieval (ISMIR). Suzhou, China, October 23-27, 2017 [PDF]
• Hu, X., Choi, K., Hao, Y., Cunningham, S. J., Lee, J. H., Laplante, A., Bainbridge, D., & Downie, J. S. (2017). Exploring the Music Library Association Mailing List: A Text Mining Approach. In Proceedings of the 18th International Conference on Music Information Retrieval (ISMIR). Suzhou, China, October 23-27, 2017 [PDF]
• Cheong, C. W. L., Hu, X., Chu, S. K. W., & Ng, N. (2017). A preliminary analysis on student postings on Facebook and blogs in an internship course in information management, in Proceedings of the iConference, Wuhan, China, March 22-25, 2017. [PDF]
• Hu, X., Cheong, C. W., Ding, W., & Woo, M. (2017, March). A systematic review of studies on predicting student learning outcomes using learning analytics. In Proceedings of the Seventh International Learning Analytics & Knowledge Conference (pp. 528-529). ACM.
• Hu, X., Hou, X., Lei, C. U., Yang, C., & Ng, J. (2017, March). An outcome-based dashboard for moodle and Open edX. In Proceedings of the Seventh International Learning Analytics & Knowledge Conference (pp. 604-605). ACM. 
• Hu, X., Yang, C., Qiao, C., Lu, X., & Chu, S. K. (2017, March). New features in Wikiglass, a learning analytic tool for visualizing collaborative work on wikis. In Proceedings of the Seventh International Learning Analytics & Knowledge Conference (pp. 616-617). ACM.
• Choi, K., Lee, J. H., Hu, X. & Downie, J. D. (2016). Music Subject Classification Based on Lyrics and User Interpretations, In Proceedings of Association for Information Science and Technology (ASIS&T) Annual Conference, Copenhagen, Denmark, Oct. 2016. [PDF]
• Hu, X., Choi, K., Lee, J. H., Laplante, A., Hao, Y., Cunningham, & Downie, J. S. (2016). WiMIR: An Informetric Study on Women Authors in ISMIR. In Proceedings of the 17th International Conference on Music Information Retrieval (ISMIR). [PDF]
• Kwok, K. K. K., Ng, T. D. J., Chu, S. K. W., & Hu, X. (2016). Information Literacy among Secondary School Students in Hong Kong: Actual Abilities, Self-Perceptions and Teachers’ Support, presented at CITE Research Symposium, June 2016, Hong Kong.
• Qiao, C., Hu, X., & Chu, S. K. W. (2016). Enhancing Wikiglass with Analytic Functions for Cognitive Domain and Authorial Stance Detection, presented at CITE Research Symposium, June 2016, Hong Kong.
• Ng, J., Lei, C.-U., Iseli-Chan, N., Li, J., Siu, F., & Hu, X. (2016). Non-repository Uses of Moodle through Mobile Access: Students’ Usage Patterns and Perceptions, presented at CITE Research Symposium, June 2016, Hong Kong.
• Tian, L., Hu, X., Ng, J., & Lei, L. (2016). Towards Automatic Assessments of Collaborative Writing on Wiki, presented at CITE Research Symposium, June 2016, Hong Kong.
• Chi, P., Zeng, R., & Hu, X. (2016). Predicting students learning outcomes based on Learning Management System log patterns, presented at CITE Research Symposium, June 2016, Hong Kong.
• Hu, X., Zhang, Y., Chu, S., & Ke, X. (2016). Towards Personalizing An E-quiz Bank for Primary School Students: An Exploration with Association Rule Mining and Clustering, In Proceedings of the 6th International Conference on Learning Analytics and Knowledge Proceedings, LAK '16, April 25 - 29, 2016, Edinburgh, United Kingdom. DOI=10.1145/2883851.2883959 [PDF]
• Hu, X., Ng, J. T. D., Lu, T., & Lei, C-U. (2016). Automating Assessment of Collaborative Writing Quality In Multiple Stages: The Case of Wiki, In Proceedings of the 6th International Conference on Learning Analytics and Knowledge Proceedings, LAK '16, April 25 - 29, 2016, Edinburgh, United Kingdom. DOI=10.1145/2883851.2883963 [PDF]
• Hu, X., Ip, J., Sadaful, K., Lui, G., & Chu, S. (2016). Wikiglass: A Learning Analytic Tool for Visualizing Collaborative Wikis of Secondary School Students Submission, In Proceedings of the 6th International Conference on Learning Analytics and Knowledge Proceedings, LAK '16, April 25 - 29, 2016, Edinburgh, United Kingdom. [PDF]
• Lee, J. H., Hu, X., Choi, K. & Downie, J. S. (2015). MIREX Grand Challenge 2014 on User Experience: Qualitative Analysis of User Feedback. I Proceedings of the 16th International Conference on Music Information Retrieval (ISMIR). [PDF]
• Hu, X., Lei L. C. U., Li, J., Iseli-Chan, N., Siu, F. L. C. & Chu, S. K. W. (2015). Access Moodle Using Mobile Phones: Student Usage and Perceptions, In Proceedings of the International Mobile Learning Festival, May 22-23, 2015, Hong Kong. [Word]
• Hu, X., Lee, J. H., Choi, K. & Downie, J. S. (2014) A Cross-Cultural Study on the Mood of K-POP Songs, In Proceedings of the 15th International Conference on Music Information Retrieval (ISMIR),Oct. 2014, Taipei, Taiwan. [PDF]
• Hu, X., Lee, J. H., Wong, L. K. Y. (2014) Music Information Behaviors and System Preferences of University Students in Hong Kong, In Proceedings of the 15th International Conference on Music Information Retrieval (ISMIR),Oct. 2014, Taipei, Taiwan. [PDF]
• Downie, J. S., Hu, X., Lee, J. H., Choi, K., Cunningham, S. J., Hao, Y. and Bainbridge, D. (2014) Ten Years of MIREX (Music Information Retrieval Evaluation eXchange): Reflections, Challenges and Opportunities, In Proceedings of the 15th International Conference on Music Information Retrieval (ISMIR),Oct. 2014, Taipei, Taiwan. [PDF]
• Hu, X. & Yang, Y.-H. (2014) A Study on Cross-cultural and Cross-dataset Generalizability of Music Mood Regression Models, In Proceedings of 11th Sound & Music Computing conference (SMC), Sep. 2014, Athens, Greece. [PDF]
• Zhang, H. & Hu, X. (2014) A Quantitative Comparison on File Folder Structures of Two Groups of Information Workers, In Proceedings of the International Conference on Digital Libraries, Sep. 2014, London, UK. [PDF]
• Hu, X. & Yang, Y.-H. (2014) Cross-Cultural Mood Regression for Music Digital Libraries, In Proceedings of the International Conference on Digital Libraries, Sep. 2014, London, UK. [PDF]
• Hu, X. & Kando, N. (2014) Evaluation of Music Search in Casual-Leisure Situations, In Proceedings of Search for Fun Workshop at the Information Interaction in Context conference (IIiX), Aug. 2014, Regensburg, Germany. [PDF] 
• Lee, J. H. & Hu, X. (2014).Cross-cultural Similarities and Differences in Music Mood Perception. In Proceedings of the iConference, Berlin, Germany, Mar. 2014, (pp. 259-269). [PDF].
• Lee, J. H., Choi, K., Hu, X. & Downie, J. S. (2013). K-Pop Genres: A Cross-Cultural Exploration. In Proceedings of the 14th International Conference on Music Information Retrieval (ISMIR), Curitiba, Brazil. Nov. 2013. [PDF]
• Hu, X. & Chu, S. K. W. (2013) A Comparison on Using Social Media in A Professional Experience Course. Presented in International Conference on Social Media and Society, Sep. 2013, Halifax, Canada. [PDF]
• Hu, X. (2013). Towards Automatic Analysis of Online Discussions among Hong Kong Students. Presented in CITE Research Symposium, May. 2013, Hong Kong SAR.
• Hu, X. & Lee, J. H. (2012). A Cross-Cultural Study of Music Mood Perception between American and Chinese Listeners. In Proceedings of the 13th International Conference on Music Information Retrieval (ISMIR), Porto, Portugal, Oct. 2012 (pp.535-540). [PDF].
• Hu, X. & Kando, N. (2012). User-centered Measures vs. System Effectiveness in Finding Similar Songs. In Proceedings of the 13th International Conference on Music Information Retrieval (ISMIR), Porto, Portugal, Oct. 2012 (pp. 331-336). [PDF]
• Yang, Y.-H. & Hu, X. (2012). Cross-Cultural Music Mood Classification: A Comparison on English and Chinese Songs. In Proceedings of the 13th International Conference on Music Information Retrieval (ISMIR), Porto, Portugal, Oct. 2012 (pp. 19-24). [PDF]
• Lee, J. H. & Hu, X. (2012). Generating Ground Truth for Mood Classification in Music Digital Libraries Using Mechanical Turk. In Proceedings of the IEEE-ACM Joint Conference on Digital Libraries, Washington D.C., U.S.A., Jun. 2012. (Van Bush Best Paper Award Finalist). [PDF]
• Hu, X. (2012). Session summary: The RDAP12 panel on training data management practitioners. Bulletin of the American Society for Information Science and Technology, 38(5). Accessible at http://www.asis.org/Bulletin/Jun-12/JunJul12_Hu.html
• Wickett, K. M., Hu, X., Andrea Thomer (2012). RDAP12 summit: Challenges and opportunities for data management. Bulletin of the American Society for Information Science and Technology, 38(5). Accessible at http://www.asis.org/Bulletin/Jun-12/JunJul12_Wickett_Hu_Thomer.html
• Hu, X. & Yu, B. (2011). Exploring the Relationship between Mood and Creativity in Rock Lyrics. In Proceedings of the 12th International Conference on Music Information Retrieval (ISMIR), Miami, FL, Oct. 2011 (pp. 789-794). [PDF]
• Hu, X., Kando, N., & Yuan, X. (2011). User Evaluation of an Interactive Music Information Retrieval System. In Proceedings of the 5th Workshop on Human-Computer Interaction and Information Retrieval (HCIR), Mountain View, CA, Oct. 2010. [PDF]
• Hu, X. (2010). Music and Mood: Where Theory and Reality Meet. In Proceedings of the 5th iConference, University of Illinois at Urbana-Champaign, Champaign, IL, Feb. 2010. (Best Student Paper Award) [PDF]
• Hu, X. & Downie, J. S. (2010). When Lyrics Outperform Audio for Music Mood Classification: A Feature Analysis. In Proceedings of the 11th International Conference on Music Information Retrieval (ISMIR), Utrecht, Netherlands, Aug. 2010 (pp. 619-624). [PDF]
• Hu, X. & Downie, J. S. (2010). Improving Mood Classification in Music Digital Libraries by Combining Lyrics and Audio. In Proceedings of the Joint Conference on Digital Libraries’2010, (JCDL), Surfers Paradise, Australia,  June 2010. (Best Student Paper Award) [PDF]
• Hu, X. & Liu, J. (2010). Evaluation of Music Information Retrieval: Towards a User-Centered Approach. In Proceedings of the 4th Workshop on Human-Computer Interaction and Information Retrieval (HCIR), New Brunswick, NJ, Aug. 2010. [PDF]
• Cheng, J., Hu, X,. & Heidorn, P. B. (2010). New Measures for the Evaluation of Information Retrieval Systems: Normalized Task Completion Time and Normalized User Effectiveness. In Proceedings of the 73th Annual Meeting of the American Society for Information Science and Technology (ASIS&T), Pittsburgh, PA, Oct. 2010 (pp.1-9). [PDF]
• Hu, X. & Downie, J. S. (2010). MIR2.0: Exploiting Users' Input in Music Information Retrieval. Presented at theJCDL Workshop on Music Information Retrieval for the Masses, Surfers Paradise, Australia, Jun. 2010. [PDF]
• Liu, J. & Hu, X. (2010). User-Centered Music Information Retrieval Evaluation. Presented at theJCDL Workshop on Music Information Retrieval for the Masses, Surfers Paradise, Australia, Jun. 2010. [PDF]
• Hu, X. (2009). Combining Text and Audio for Music Mood Classification in Music Digital Libraries. IEEE Bulletin of Technical Committee on Digital Libraries (TCDL). 5(3).Accessible at http://www.ieee-tcdl.org/Bulletin/v5n3/Hu/hu.html
• Hu, X. (2009). Categorizing Music Mood in Social Context. In Proceedings of the Annual Meeting of ASIS&T , Vancouver, Canada, Nov. 2009. [PDF]
• Hu, X., Downie, J. S., & Ehmann, A.(2009). Lyric Text Mining in Music Mood Classification. In Proceedings of the 10th International Conference on Music Information Retrieval (ISMIR), Kobe, Japan, Oct. 2009 (pp. 411-416). [PDF]
• Hu, X., Downie, J. S., Laurier, C., Bay, M., & Ehmann, A. (2008). The 2007 MIREX Audio Mood Classification Task: Lessons Learned. In Proceedings of the 9th International Conference on Music Information Retrieval (ISMIR), Philadelphia, PA, Sep. 2008 (pp.462-467). [PDF]
• Hu, X., & Downie, J. S. (2007). Exploring Mood Metadata: Relationships with Genre, Artist and Usage Metadata. In Proceedings of the 8th International Conference on Music Information Retrieval (ISMIR), Vienna, Austria, Sep. 2007. [PDF]
• Hu, X., Bay, M., & Downie, J. S. (2007). Creating a Simplified Music Mood Classification Groundtruth Set. In Proceedings of the 8th International Conference on Music Information Retrieval (ISMIR), Vienna, Austria, Sep. 2007. [PDF]
• Hu, X., Downie, J. S., & Ehmann, A. (2007). Distinguishing Editorial and Customer Critiques of Cultural Objects Using Text Mining. In Proceedings of the Joint Conference of the Association for Literary and Linguistic Computing and the Association for Computers and the Humanities (ACH/ALLC), Champaign, IL, Jun. 2007. [PDF]
• Wang, X., Zhai, C., Hu, X., & Sproat, R. (2007). Mining Correlated Bursty Topic Patterns from Coordinated Text Streams. In Proceedings of the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining(KDD), San Jose, CA, Aug. 2007. [PDF]
• Hu, X., Downie, J. S., & Ehmann, A. (2006). Exploiting Recommended Usage Metadata: Exploratory Analyses. In Proceedings of the 7th International Conference on Music Information Retrieval (ISMIR), Victoria, Canada, Oct. 2006. [PDF]
• Hu, X., & Downie, J. S. (2006). Stylistics in Customer Reviews of Cultural Objects. In Proceedings of the 2nd SIGIR Stylistics for Text Retrieval Workshop, Seattle, WA, Aug. 2006. [PDF]
• Hu, X., Downie, J. S, & Jones, M. C. (2006). Criticism Mining: Text Mining Experiments on Book, Movie and Music Reviews. In Proceedings of the Joint Conference of the Association for Literary and Linguistic Computing and the Association for Computers and the Humanities (ACH/ALLC), June 2006, Paris-Sorbonne, France.
• Downie, J. S., & Hu, X. (2006). Review Mining for Music Digital Libraries: Phase II. In Proceedings of the Joint Conference on Digital Libraries’06, (JCDL), June 2006, Chaple Hill, NC.
• Downie, J. S., Jones, M. C., & Hu, X. (2006). Voice Mining: A Promising New Application of Data Mining Techniques in the Humanities Domain. In Proceedings of the Joint Conference of the Association for Literary and Linguistic Computing and the Association for Computers and the Humanities (ACH/ALLC), Paris-Sorbonne, France, Jun. 2006. [PDF]
• Downie, J. S., & Hu, X. (2006). Review Mining for Music Digital Libraries: Phase II. In Proceedings of the Joint Conference on Digital Libraries’06, (JCDL), Chaple Hill, NC, Jun. 2006. [PDF]
• Downie, J. S., Jones, M. C., & Hu, X. (2006). Voice Mining: A Promising New Application of Data Mining Techniques in the Humanities Domain. In Proceedings of the Joint Conference of the Association for Literary and Linguistic Computing and the Association for Computers and the Humanities (ACH/ALLC), Paris-Sorbonne, France, Jun. 2006. [PDF]
• Hu, X., Downie, J. S., West, K., & Ehmann, A. (2005). Mining Music Reviews: Promising Preliminary Results. In Proceedings of the 6^th International Conference on Music Information Retrieval (ISMIR), London, UK, Sep. 2005. [PDF]
• Hu, X., Jackson, L., Deng, S., Lin, G., & Zhang, J. (2005). Automatic Subject Heading Assignment for Online Government Publications using A Semi-supervised Machine Learning Approach. In Proceedings of ASIS&T Annual Conference, Charlotte, NC, Nov. 2005. [PDF]
• Lee, J. H., Hu, X., & Downie, J. S. (2005). Q&A Websites: Rich Research Resources for Contextualizing Information Retrieval Behaviors. (position paper) In Proceedings of SIGIR IRiX Workshop, Salvador, Brazil, Aug. 2005 (pp.33-36). [PDF]
• Downie, J. S., Ehmann A. & Hu, X. (2005). Music-to-Knowledge (M2K): A Prototyping and Evaluation Environment for Music Digital Library Research. (Demonstration) In Proceedings of Joint Conference on Digital Libraries (JCDL), Denver, CO, Jun. 2005. [PDF]
• Huang, C., Zhao, J., & Hu, X. (2005). A Sustainable Development OCR System in CADAL Application. Journal of Zhejiang University SCIENCE A, 6(11): 1312-1317. [PDF]
• Hu, X., Bandhakavi, S., & Zhai, C. (2003). Error Analysis of Difficult TREC Topics. In Proceedings of the 26^th Annual International ACM SIGIR Conference, Toronto, Canada, Jul. 2003. [PDF]

Editorial Duties

• Associate Editor, Information Processing & Management, 2023 -
• Guest Editor, Special Issue on Crowdsourcing and Collaboration in Digital Humanities, Aslib Journal of Information Management, 2019
• Editorial Member, The Electric Library, 2017-19
• Editorial Member, Transaction of International Society for Music Information Retrieval (TISMIR), 2017-19
• Editorial Member, Data Intelligence, 2018-20
• Editorial Member, Journal of Educational Technology Development and Exchange, 2019-2021
• Track program coordinating co-chair, IEEE International Conference on Advanced Learning Technologies (ICALT), 2021 - 2023
• Track program co-chair, IEEE International Conference on Advanced Learning Technologies (ICALT), 2017 - 2020
• Program co-chair, International Society for Music Information Retrieval Annual Conference (ISMIR), 2017, 2018

Professional Services

• Co-chair, Diversity & Inclusion, Annual Conference of International Society for Music Information Retrieval (ISMIR), 2022, 2023
• Invited supervisor, Doctoral Consortium, The Annual Conference of Learning Sciences, China branch, 2022
• Co-chair, Doctoral Consortium, ACM/IEEE Joint Conference on Digital Libraries (JCDL), 2021
• Board Member, The Society of International Chinese in Educational Technology (SICET), 2018 - 2021
• Mentor, Women in Music Information Retrieval (WiMIR) mentorship program, 2016 - 2018
• Chair, ASIS&T Special Interest Group on International Information Issues, 2015 - 2016
• Board Member and Treasurer, International Society for Music Information Retrieval (ISMIR), 2012 - 2017
• Conference co-chair, International Society for Music Information Retrieval Annual Conference (ISMIR), 2014
• Co-organizer, Learning Analytics Summer Institute (LASI), Hong Kong, 2013 - 2014

• I am the primary supervisor of ten PhD students, two EdD students and a co-supervisor of four.
• I have graduated four PhD students. Among them, Hussain Haruna (2019) was awarded the 2020 ProQuest Doctoral Dissertation Award, bestowed by The Association for Information Science and Technology (ASIS&T)