Yong-Bin Kang, Se-Young Ok, Hwan-Gue Cho, Character Grouping Technique Using 3-D Neighborhood Graphs in Raster Map, 14th International Conference on Pattern Recognition (ICPR'98),
Yong-Bin Kang, Sung-Soo Kim, A New Route Determination Approach using Future Traffic Prediction, Journal of WSEAS Transactions on Systems, Vol. 4(6), pp. 804 - 811, 2005
Munjae Song, Seongwon Park, and Yong-Bin Kang, A Survey on Projector-Based PC Cluster Distributed Large Screen Displays and Shader Technologies, The 2007 International Conference on Computer Graphics and Virtual Reality (CGVR '07), June 25-28 2007 (Acceptance Rate: 28%)
Sung-Soo Kim and Yong-Bin Kang, Congestion Avoidance Algorithm using Extended Kalman Filter, The 2007 International Conference on Convergence Information Technology (ICCIT 07), IEEE CS, Nov. 2007 (Acceptance Rate: 29%)
Yong-Bin Kang, Ki-Joon Chae, XMegaWall: A Super High-Resolution Tiled Display using a PC Cluster, Proceeding of Computer Graphics International (CGI), 2007, pp. 29-36, May 30th - July 2nd 2007 (Acceptance Rate: 17%)
Yong-Bin Kang, A scalable, high-resolution tiled display system, International MultiConference of Engineers and Computer Scientists (IMECS 2007), pp. 2009-2013, 2007
Yong-Bin Kang, Arkady Zaslavsky, Shonali Krishnaswamy, and Claudio Bartolini, A Personalization Approach for Problem Management", 15th HP Software University Association (HP-SUA) Workshop, 22-25 June, Marrakech, Morocco, 2008
Yong-Bin Kang, Arkady Zaslavsky, and Shonali Krishnaswamy, Help-desk Agent Recommendation System Based on Three-layered User Profile,Ê European Conference on Artificial Intelligence (ECAI) 2008 Workshop on Recommender Systems, 21-22 July, 2008
Yong-Bin Kang, Arkady Zaslavsky, Shonali Krishnaswamy, and Claudio Bartolini, A Computer-Facilitated Method for Matching Incident Cases Using Semantic Similarity Measurement", 4th IFIP/IEEE International Workshop on Business-driven IT Management (BDIM 2009), 2009 (Selected for In-depth discussion paper - only 3 papers were selected)
Yong-Bin Kang, Arkady Zaslavsky, Shonali Krishnaswamy, and Claudio Bartolini, A knowledge-rich similarity measure for improving IT incident resolution process, Proceedings of the 2010 ACM Symposium on Applied Computing, pp. 1781-1788 (Acceptance Rate: 22%)
Yong-Bin Kang, Shonali Krishnaswamy, and Arkady Zaslavsky, Retrieval in CBR Using a Combination of Similarity and Association Knowledge, 7th International Conference on Advanced Data Mining and Applications (ADMA 2011) (CoRE rank B), pp. 1-14, December 2011 (Acceptance Rate: 21%)
Yong-Bin Kang, Shonali Krishnaswamy, and Arkady Zaslavsky, A Case Retrieval Approach Using Similarity and Association Knowledge, 19th International Conference on Cooperative Information Systems (CoopIS) (CoRE rank A), pp. 218-235, October 2011 (Acceptance Rate: 21%)
Yong-Bin Kang, Shonali Krishnaswamy, and Arkady Zaslavsky, A Retrieval Strategy using the Integrated Knowledge of Similarity and Associations, The 16th International Conference on Database Systems for Advanced Applications (DASFAA) (CoRE rank A), pp. 16-30, April 2011 (Acceptance Rate: 24%)
ong -Bin Kang, Yuan-Fang Li, and Shonali Krishnaswamy, Predicting Reasoning Performance Using Ontology Metrics, 11th International Semantic Web Conference (ISWC 2012), pp 198-214, Nov 11-15, 2012 (Acceptance Rate: 22%)
Yong-Bin Kang, Shonali Krishnaswamy, and Yuan-Fang Li, A Meta-reasoner to Rule Them All, 23rd International Conference on Information and Knowledge Management (CIKM) (CoRE rank A), pp 1935-1938, Shanghai, China, Nov 3-7, 2014
Yong-Bin Kang, Pari Delir Haghighi, Frada Burstein, CFinder: An intelligent key concept finder from text for ontology development, Expert Systems with Applications, Volume 41, Issue 9, 2014, Pages 4494-4504, ISSN 0957-4174, https://doi.org/10.1016/j.eswa.2014.01.006.
Yong -Bin Kang, Yuan-Fang Li, and Shonali Krishnaswamy, How Long Will It Take? Accurate Prediction of Ontology Reasoning Performance, Twenty-Eighth AAAI Conference on Artificial Intelligence (AAAI-14), pp 80 - 86, July 27 - 31, 2014 (Acceptance Rate: 28%)
Yong-Bin Kang, Shonali Krishnaswamy, and Arkady Zaslavsky, "A Retrieval Strategy for Case-Based Reasoning Using Similarity and Association Knowledge," in IEEE Transactions on Cybernetics, vol. 44, no. 4, pp. 473-487, April 2014, doi: 10.1109/TCYB.2013.2257746.
Yong-Bin Kang, Yuan-Fang Li, and Shonali Krishnaswamy, R2O2: an Efficient Ranking-based Reasoner for OWL Ontologies, 14th International Semantic Web Conference (ISWC), Bethlehem, Pennsylvania, USA, October 11-15, 2015
Yong-Bin Kang, Pari Delir Haghighi, and Frada Burstein, TaxoFinder: A Graph-Based Approach for Taxonomy Learning, IEEE Transactions on Knowledge and Data Engineering, vol. 28, no. 2, pp. 524-536, 1 Feb. 2016, doi: 10.1109/TKDE.2015.2475759.
Pari Delir Haghighi, Yong-Bin Kang, Rachelle Buchbinder, Frada Burstein, Samuel Whittle, Investigating Subjective Experience and the Influence of Weather Among Individuals With Fibromyalgia: A Content Analysis of Twitter, JMIR public health and surveillance, Vol 3, No 1, 2017
Dumindu Madithiyagasthenna, Prem Prakash Jayaraman, Ahsan Morshed, Abdur Rahim Mohammad Forkan, Dimitrios Georgakopoulos, Yong-Bin Kang, Mirek Piechowski, "A solution for annotating sensor data streams - An industrial use case in building management system," 2020 21st IEEE International Conference on Mobile Data Management (MDM), 2020, pp. 194-201, doi: 10.1109/MDM48529.2020.00042.
Abdur Rahim Mohammad Forkan, Prem Prakash Jayaraman, Yong-Bin Kang, Ahsan Morshed, "ECHO: A Tool for Empirical Evaluation Cloud Chatbots," 2020 20th IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing (CCGRID), 2020, pp. 669-672, doi: 10.1109/CCGrid49817.2020.00-26.
Yuan-Fang Li, Yong-Bin Kang, Towards Meta-reasoning for Ontologies: A Roadmap, 24th European Conference on Artificial Intelligence (ECAI 2020)
Yong-Bin Kang, Shonali Krishnaswamy, Wudhichart Sawangphol, Lianli Gao, Yuan-Fang Li, Understanding and improving ontology reasoning efficiency through learning and ranking, Information Systems, Volume 87, 2020, 101412, ISSN 0306-4379, https://doi.org/10.1016/j.is.2019.07.002.
Hasan, Tahmid; Bhattacharjee, Abhik; Islam, Md. Saiful; Samin, Kazi; Li, Yuan-Fang; Kang, Yong-Bin; Rahman, M. Sohel; Shahriyar, Rifat. XL-Sum: Large-Scale Multilingual Abstractive Summarization for 44 Languages. Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (ACL-IJCNLP'21)
Abdur Rahim Mohammad Forkan, Yong-Bin Kang, Prem Prakash Jayaraman, Kewen Liao, Rohit Kaul, Graham Morgan, Rajiv Ranjan, Samir Sinha, CorrDetector: A Framework for Structural Corrosion Detection from Drone Images using Ensemble Deep Learning, arXiv:2102.04686, 2021
Yong-Bin Kang, Timos Sellis, TopicTracker: A Platform for Topic Trajectory Identification and Visualisation, arXiv:2103.01432, 2021
Yong-Bin Kang, Hung Du, Abdur Rahim Mohammad Forkan, Prem Prakash Jayaraman, Amir Aryani, Timos Sellis, ExpFinder: An Ensemble Expert Finding Model Integrating N-gram Vector Space Model and μCO-HITS, arXiv:2101.06821, 2021
Hung Du, Yong-Bin Kang, An open-source framework for ExpFinder integrating N-gram vector space model and μCO-HITS, Software Impacts, Volume 8, 2021, 100069, ISSN 2665-9638, https://doi.org/10.1016/j.simpa.2021.100069.
Sarkar Snigdha Sarathi Das, Mohammed Eunus Ali, Yuan-Fang Li, Yong-Bin Kang, Timos Sellis, Boosting House Price Predictions using Geo-Spatial Network Embedding, Data Mining and Knowledge Discovery, 2021. https://doi.org/10.1007/s10618-021-00789-x
Yong-Bin Kang, Jihoon Woo, Les Kneebone, Timos Sellis, Methodology for refining subject terms and supporting subject indexing with taxonomy: A case study of the APO digital repository, Decision Support Systems, Volume 146, 2021, 113542, ISSN 0167-9236, https://doi.org/10.1016/j.dss.2021.113542.
Md. Saiful Islam, Mohammed Eunus Ali, Yong-Bin Kang, Timos Sellis, Farhana M. Choudhury, Keyword Aware Influential Community Search in Large Attributed Graphs, Information Systems, https://doi.org/10.1016/j.is.2021.101914, 2021
Yong-Bin Kang, Abdur Rahim Mohammad Forkan, Prem Prakash Jayaraman, Hung Du, Rohit Kaul, Dan Hunter. SRAuditor: An Automated Assessment Tool for Statement of Advice Documents, The 55th of Hawaii International Conference on System Sciences (HICSS), 2022
McCosker, Anthony; Shaw, Frances; Calyx, Cobi; Kang, Yong-Bin; Albury, Kath; Australian Red Cross (2022). Mapping community resources for disaster preparedness: humanitarian data capability and automated futures. Analysis & Policy Observatory
Kang YB, McCosker A, Kamstra P, Farmer J. Resilience in Online Mental Health Communities: Building a Resilience Dictionary with Semi-Automatic Text Analysis. JMIR Formative Research. 18/08/2022:39013
Yong-Bin Kang, Hung Du, Abdur Rahim Mohammad Forkan, Prem Prakash Jayaraman, Amir Aryani, Timos Sellis, ExpFinder: A hybrid model for expert finding from text-based expertise data, Expert Systems with Applications, Volume 211, ISSN 0957-4174, https://doi.org/10.1016/j.eswa.2022.118691.
Abdur Rahim Mohammad Forkan, Yong-Bin Kang, Felip Marti, Shane Joachim, Abhik Banerjee, Josip Karabotic Milovac, Prem Prakash Jayaraman, Chris McCarthy, Hadi Ghaderi, Dimitrios Georgakopolous. "Mobile IoT-RoadBot: An AI-powered Mobile IoT Solution for Real-Time Roadside Asset Management", The 28th Annual International Conference On Mobile Computing And Networking (ACM Mobicom 22)
Coulter, Darcy; Forkan, Abdur Rahim Mohammad; Kang, Yong-Bin; Trounson, Justin; Anthony, Thalia; Marchetti, Elena; Shepherd, Stephane (2022). Pre-sentence reports for Aboriginal and Torres Strait Islander people: an analysis of language and sentiment. Trends & issues in crime and criminal justice, 2022
Coulter, D. J., Forkan, A. R. M., Kang, Y.-B., Trounson, J. S., Anthony, T., Marchetti, E., & Shepherd, S. M. (2023). Culture, Strengths, and Risk: The Language of Pre-Sentence Reports in Indigenous Sentencing Courts and Mainstream Courts. Criminal Justice and Behavior, 50(1), 76–100.
Yong-Bin Kang and Timos Sellis (2023). TopicTracker: A platform for topic trajectory identification and visualisation. SoftwareX, 22, 101330.
Forkan, Abdur Rahim Mohammad; Kang, Yong-Bin; Jayaraman, Prem Prakash; Du, Hung; Thomson, Steven; Kollias, Elizabeth; Wieland, Natalie (2023). VideoDL: Video-Based Digital Learning Framework Using AI Question Generation and Answer Assessment. International Journal of Advanced Corporate Learning (iJAC), vol 16, pp. 19-27.
Talk at UC San Francisco, Department of Testing, San Francisco, California
Tutorial at UC-Berkeley Institute for Testing Science, Berkeley CA, USA
Talk at London School of Testing, London, UK
Conference proceedings talk at Testing Institute of America 2014 Annual Conference, Los Angeles, CA