Publications (2015-Present)

Angel Wheelwright and Yiu-Kai Ng, Using FCOS and an Encoder-Decoder Model to Detect and Recognize Visual Mathematical Equations. To appear in Proceedings of the 9th International Conference on Multimedia and Image Processing (ICMIP 2024), April 20-22, 2024, Osaka, Japan.
Matthew Moulton and Yiu-Kai Ng, Boolean Interpretation, Matching, and Ranking of Natural Language Queries in Product Selection Systems. Journal of Discover Computing, Vol. 27, Number 2, pp. 1-20, Springer, April 2024.
Siqi Gao and Yiu-Kai Ng, Recommending Answers to Math Questions Based on KL-Divergence and Approximate XML Tree Matching. In Proceedings of the 2023 ACM SIGIR Conference on Research and Development in Information Retrieval within the Asia-Pacific Region (SIGIR-AP), pp. 21-31, November 26-28, 2023, Beijing, China.
Yiu-Kai Ng, Read to Grow: Exploring Metadata of Books to Make Intriguing Book Recommendations for Teenage Readers. Knowledge and Information Systems: An International Journal, Volume 65, Issue 11, pp. 4537-4562, Springer, November 2023.
Yiu-Kai Ng, Easy to Find: A Natural Language Query Processing System on Advertisements Using an Automatically Populated Database . In Proceedings of the 19th International Conference on Web Information Systems and Technologies (WEBIST), pp. 71-83, November 15 - 17, 2023, Rome, Italy.
Yiu-Kai Ng, A Personalized Book Recommender System for Adults Based on Deep Learning and Filtering. In Proceedings of the 15th International Conference on Knowledge Discovery and Information Retrieval (KDIR), IC3K, pp. 248-256, November 13 - 15, 2023, Rome, Italy.
Joey Sherrill and Yiu-Kai Ng, Promoting Reading Among Teens: Analyzing the Emotional Preferences of Teenage Readers. In Handbook on Artificial Intelligence-Empowered Applied Software Engineering: VOL. 2: Smart Software Applications in Cyber-Physical Systems, Chapter 7, pp. 105-126, Springer, January 2023.
Nathaniel Benham, Sophie Gao, and Yiu-Kai Ng, A Hybrid Approach for Summarizing User Reviews Based on KL-Divergence and Deep Learning (Best Student Paper Award). In Proceedings of the 34th IEEE International Conference on Tools with Artificial Intelligence (ICTAI), pp. 325-333, October 31-November 2, 2022.
Matthew Moulton, Sophie Gao, and Yiu-Kai Ng, Retrieving and Ranking Relevant Products from Boolean Natural Language Queries. In Proceedings of the 21st IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT), pp. 303-308, Niagara Falls, Canada, November 17-20, 2022.
Sophie Gao and Yiu-Kai Ng, Generating Extractive Sentiment Summaries for Natural Language User Queries on Products. Journal of ACM Applied Computing Review (ACR) , Volume 22, Issue 2, pp. 5-20, ACM, June 2022.
Matthew Moulton, Sophie Gao, and Yiu-Kai Ng, Query-Relevant Sentiment Summarization Based on Facet Identification and Sentence Clustering. In Proceedings of the 37th ACM/SIGAPP Symposium on Applied Computing (ACM SAC), pp. 704-712, April 25-29, 2022.
Sophie Gao and Yiu-Kai Ng, Analyzing the Preferences and Personal Needs of Teenage Readers to Make Book Recommendations. In Proceedings of the International Conference on Web Intelligence and Intelligent Agent Technology (IEEE/WIC/ACM WI-IAT), pp. 463-468, Melbourne, Australia, December 14-17, 2021.
Megan Thornton, Sophie Gao, and Yiu-Kai Ng, A Simple, Concise, Query-based Approach to News Article Summarization Using Sentence Scoring.. In Proceedings of the 33rd IEEE International Conference on Tools with Artificial Intelligence (ICTAI), pp. 951-958, November 1-3, 2021.
Eric Brewer and Yiu-Kai Ng, Identifying Maturity Rating Levels of Online Books . In Proceedings of the 4th IEEE International Conference on Multimedia Information Processing and Retrieval (IEEE MIPR 2021), pp. 165-171, Tokyo, Japan, September 8-10, 2021.
Joseph Bills and Yiu-Kai Ng, Looking for Jobs? Matching Adults with Autism with Potential Employers for Job Opportunities. In Proceedings of the 25th International Database Engineering & Applications Symposium (IDEAS 2021), pp. 212-221, Montreal, Canada, July 14-16, 2021.
Yiu-Kai Ng, Research Paper Recommendation Based on Content Similarity, Peer Reviews, Authority, and Popularity. In Proceedings of the 32nd IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2020), pp. 47-52, November 9-11, 2020.
Ashlee Milton, Levesson Batista, Garrett Allen, Sophie Gao, Yiu-Kai Ng, and Maria Soledad Pera, "Don't Judge a Book by Its Cover": Exploring Book Traits Children Favor. In Proceedings of the 14th ACM Conference on Recommender Systems (ACM RecSys), pp. 669-674, September 22-26, 2020.
Alisha Banskota and Yiu-Kai Ng, Recommending Video Games to Adults with Autism Spectrum Disorder for Social-Skill Enhancement. In Proceedings of the 28th ACM Conference on User Modeling, Adaptation and Personalization (UMAP), pp. 14-22, July 14-17, Genoa, Italy, 2020.
Yiu-Kai Ng, Movie Recommendation Based on a Recurrent Neural Network Model. In Reuse in Intelligent Systems, Chapter 4, pp. 87-115, CRC Press, July 2020.
Yiu-Kai Ng, CBRec: A Book Recommendation System for Children Using the Matrix Factorization and Content-Based Filtering Approaches . International Journal of Business Intelligence and Data Mining, Volume 16, Number 2, pp. 129-149, InderScience, February, 2020.
Joseph Bills and Yiu-Kai Ng, Recommending Therapeutic Games Targeted to the Individual Needs of Adults with Autism Spectrum Disorder. International Journal on Computer Sciences and Information Systems (IJCSIS), Volume 14, Number 1, pp. 53-69, IADIS Press, December, 2019.
Yiu-Kai Ng and Urim Jung, Personalized Book Recommendation Based on a Deep Learning Model and Metadata. In Proceedings of the 20th International Conference on Web Information Systems Engineering (WISE 2019), pp. 162-178, Hong Kong, November 26-30, 2019.
Eric Brewer and Yiu-Kai Ng, Age-Suitability Prediction for Literature Using a Recurrent Neural Network Model. In Proceedings of the 31st IEEE International Conference on Artificial Intelligence (IEEE ICTAI), pp. 1592-1596, Portland, Oregon, November 4-6, 2019.
Joseph Bills and Yiu-Kai Ng, Targeting Therapeutic Games to Adults with Autism Spectrum Disorder. In Proceedings of the 9th International Conference on Internet Technologies & Society (ITS 2019), pp. 19-26, Hong Kong, February 8-10, 2019.
Eric Brewer, Yiu-Kai Ng, and Alisha Banskota, Personalized Scholarly Article Recommendations Based on the Recurrent Neural Network and Probabilistic Models. In Proceedings of the 9th International Conference on Internet Technologies & Society (ITS 2019), pp. 11-18, Hong Kong, February 8-10, 2019.
Andrew Luke, Joseph Johnson, and Yiu-Kai Ng, Recommending Long-Tail Items Using Extended Tripartite Graphs. In Proceedings of the IEEE International Conference on Big Knowledge (IEEE ICBK 2018), pp. 123-130, Singapore, November 17-18, 2018.
Yiu-Kai Ng and Maria Soledad Pera, Recommending Social-Interactive Games for Adults with Autism Spectrum Disorders (ASD). In Proceedings of the 12th ACM Recommender Systems Conference (ACM RecSys 2018), pp. 209-213, Vancouver, Canada, October 2-7, 2018.
Alisha Banskota and Yiu-Kai Ng, A Graduate School Recommendation System Using the Multi-Class Support Vector Machine and KNN Approaches. In Proceedings of the IEEE 19th International Conference on Information Reuse and Integration for Data Science (IEEE IRI), pp. 277-284, Salt Lake City, Utah, July 7-9, 2018.
Jeffrey Lund and Yiu-Kai Ng, Movie Recommendations Using the Deep Learning Approach. In Proceedings of the IEEE 19th International Conference on Information Reuse and Integration for Data Science (IEEE IRI), pp. 47-54, Salt Lake City, Utah, July 7-9, 2018.
Maria Soledad Pera and Yiu-Kai Ng, Recommending Books to be Exchanged Online in the Absence of Wish Lists. Journal of the Association for Information Science and Technology (JASIST), Volume 69, Issue 4, pp. 541-552, Wiley, 2018.
Maria Soledad Pera and Yiu-Kai Ng, Using Online Data Sources to Make Query Suggestions for Children. Journal of Web Intelligence, Volume 15, Number 4, pp. 303-323, IOS Press, 2017.
Yiu-Kai Ng, MovReC: A Personalized Movie Recommendation System for Children Based on Online Movie Features. International Journal of Web Intelligence Systems (IJWIS), Volumn 13, Number 4, pp. 445-470, Emerald, 2017.
Yiu-Kai Ng and Meilan Jin, Personalized Recipe Recommendations for Toddlers Based on Nutrient Intake and Food Preferences. In Proceedings of the 9th International ACM Conference on Management of Digital EcoSystems (MEDES'17), pp. 243-250, Bangkok, Thailand, November 7-10, 2017.
Yiu-Kai Ng and Iris Seaman, Personalized Table-Top Game Recommendations. In Proceedings of the 29th IEEE International Conference on Tools with Artificial Intelligence (ICTAI'17), pp. 396-403, Boston, Massachusetts, November 6-8, 2017.
Joseph Johnson and Yiu-Kai Ng, Using Tripartite Graphs to Make Long Tail Recommendations. In Proceedings of the 8th International Conference on Information, Intelligence, Systems, and Applications (IISA 2017), Larnaca, Cyprus, August 28-30, 2017.
Yiu-Kai Ng and Jane Linn, CrsRecs: A Personalized Course Recommendation System for College Students . In Proceedings of the 8th International Conference on Information, Intelligence, Systems, and Applications (IISA 2017), Larnaca, Cyprus, August 28-30, 2017.
Joseph Johnson and Yiu-Kai Ng, Enhancing Long Tail Item Recommendations Using Tripartite Graphs and Markov Process. In Proceedings of 2017 IEEE/WIC/ACM International Conference on Web Intelligence (WI'17), pp. 761-768, Leipzig, Germany, August 23-26, 2017.
Alicia Wood and Yiu-Kai Ng, Orthogonal Query Recommendations for Children. In Proceedings of the 18th International Conference on Information Integration and Web-based Applications & Services (Show 2016/iiWAS 2016), ACM, pp. 300-304, Singapore, November 28-30, 2016.
Yiu-Kai Ng, Recommending Books for Children Based on the Collaborative and Content-Based Filtering Approaches. In Proceedings of the 16th International Conference on Computational Science and Its Applications (ICCSA 2016), LNCS 9789, pp. 302-317, Beijing, China, July 4-7, 2016.
Rani Qumsiyeh and Yiu-Kai Ng, Searching Web Documents Using a Summarization Approach. International Journal of Web Information Systems (IJWIS) , Vol. 12, Issue 1, pp. 83-101, Emerald, April 2016.
Joel Denning, Maria Soledad Pera, and Yiu-Kai Ng, A Readability Level Prediction Tool for K-12 Books. Journal of the Association for Information Science and Technology (JASIST), Vol. 67, Issue 3, pp. 550-565, John Wiley & Sons, Inc., March 2016.
Meher Shaikh, Maria Soledad Pera, and Yiu-Kai Ng, Suggesting Simple and Comprehensive Queries to Elementary-Grade Children. In Proceedings of the IEEE/WIC/ACM Conference on Web Intelligence (WI'15), pp. 252-259, Singapore, December 6-9, 2015.
Rani Qumsiyeh and Yiu-Kai Ng, Web Search Using Summarization on Clustered Web Documents Retrieved by User Queries. In Proceedings of the IEEE/WIC/ACM Conference on Web Intelligence (WI'15), pp. 401-404, Singapore, December 6-9, 2015.
Maria Soledad Pera and Yiu-Kai Ng, A Recommendation-Based Book-Exchange System Without Using Wish Lists. In Proceedings of the 9th ACM Conference on Recommender Systems (ACM RecSys 2015), Vienna, Austria, September 16-20, 2015.
Maria Soledad Pera and Yiu-Kai Ng, Analyzing Book-Related Features to Recommend Books for Emergent Readers. In Proceedings of the 26th ACM Conference on Hypertext and Social Media (ACM HT 2015), pp. 221-230, Cyprus, September 1-4, 2015.
Rani Qumsiyeh and Yiu-Kai Ng, Clustering Retrieved Web Documents to Speed Up Web Search. In Proceedings of the 15th International Conference on Computational Science and Its Applications (ICCSA 2015), pp. 472-488, LNCS 9155, Banff, Canada, June 22-25, 2015.