Last updated: May 2022
Journals
Conference Proceedings
Book Chapters
- Young Anna Argyris, Kafui Monu, Pang-Ning Tan, Colton Aarts, Fan Jiang, Kaleigh Anne Wiseley: Using Machine Learning to Compare Provaccine and Antivaccine Discourse Among the Public on Social Media: Algorithm Development Study. JMIR Public Health Surveill 7(6), Jun 2021. JMIR Publications, 2021.
- Alfredo Cuzzocrea, Carson K. Leung, Deyu Deng, Jiaxing Jason Mai, Fan Jiang, Edoardo Fadda: A Combined Deep-Learning and Transfer-Learning Approach for Supporting Social Influence Prediction. Procedia Computer Science 177, special issue of EUSPN 2020. Pages 170-177. Elsevier, 2020.
- Carson Kai-Sang Leung, Richard Kyle MacKinnon, and Fan Jiang: Finding Efficiencies in Frequent Pattern Mining from Big Uncertain Data. World Wide Web 20(3), special issue on big data and smart computing. Pages 571-594. 2017.
- Carson Kai-Sang Leung, Fan Jiang, Adam G. M. Pazdor, and Aaron M. Peddle: Parallel Social Network Mining for Interesting “Following” Patterns. Concurrency and Computation: Practice and Experience 28(15). Special issue of DaWaK 2014. Pages 3994-4012. October 2016.
- Fan Jiang, and Carson Kai-Sang Leung: A Data Analytic Algorithm for Managing, Querying, and Processing Uncertain Big Data in Cloud Environments. Algorithms, vol. 8(4), special issue on algorithms for managing, querying and processing big data in cloud environments. Pages 1175-1194. 2015.
- Alfredo Cuzzocrea, Zhao Han, Fan Jiang, Carson Kai-Sang Leung, and Hao Zhang: Edge-based Mining of Frequent Subgraphs from Graph Streams. Procedia Computer Science, vol. 60, special issue of KES 2015. Pages 573–582. Elsevier, 2015.
- Alfredo Cuzzocrea, Fan Jiang, Carson Kai-Sang Leung, Dacheng Liu, Aaron Peddle, and Syed K. Tanbeer: Mining Popular Patterns: A Novel Mining Problem and its Application to Static Transactional Databases and Dynamic Data Streams. LNCS Transactions on Large-Scale Data- and Knowledge-Centered Systems (TLDKS), vol. XXI (LNCS 9260). Pages 115-139. Springer, 2015.
- Peter Braun, Juan J. Cameron, Alfredo Cuzzocrea, Fan Jiang, and Carson Kai-Sang Leung: Effectively and Efficiently Mining Frequent Patterns from Dense Graph Streams on Disk. Procedia Computer Science. Volume 35. Pages 338-347. Elsevier, 2014.
- Carson Kai-Sang Leung, Alfredo Cuzzocrea, and Fan Jiang: Discovering Frequent Patterns from Uncertain Data Streams with Time-Fading and Landmark Models. Transactions on Large-Scale Data- and Knowledge-Centered Systems (TLDKS), vol. VIII, special issue on Advances in Data Warehousing and Knowledge Discovery. Pages 174-196. Springer, 2013.
Conference Proceedings
- Hamid Shoaraee, Liang Chen, Fan Jiang: Decision-Making of an Autonomous Vehicle when Approached by an Emergency Vehicle using Deep Reinforcement Learning. In Proceedings of the 19th IEEE International Conference on Pervasive Intelligence and Computing (PICom21), Online Conference. Pages 185-191. IEEE, 2021.
- Fan Jiang, Colton Aarts, Liang Chen: A Practical Application for Sentiment Analysis on Social Media Textual Data. In Proceedings of the 24th Symposium on International Database Engineering & Applications (IDEAS 20), Online Conference. Pages 1-6. ACM, 2020.
- Carson K. Leung, Alfredo Cuzzocrea, Jiaxing Jason Mai, Deyu Deng, Fan Jiang: Personalized DeepInf: Enhanced Social Influence Prediction with Deep Learning and Transfer Learning. In Proceedings of the 2019 IEEE International Conference on Big Data (Big Data 2019), Los Angeles, USA. Pages 2871-2880. IEEE, 2019.
- Sehaj Pal Singh, Carson K. Leung, Fan Jiang, Alfredo Cuzzocrea: A Theoretical Approach to Discover Mutual Friendships from Social Graph Networks. In Proceedings of the 21st International Conference on Information Integration and Web-Based Applications & Services (iiWAS 2019), Munich, Germany. Pages 212-221. ACM, 2019.
- Carson Leung, Fan Jiang, Yibin Zhang: Flexible Compression of Big Data. In Proceedings of the 2019 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM (FAB) 2019), Vancouver, Canada. Pages 741-748. IEEE/ACM, 2019.
- Carson K. Leung, Fan Jiang, Joglas Souza: Web Page Recommendation from Sparse Big Web Data. In Proceedings of the 2018 IEEE/WIC/ACM International Conference on Web Intelligence (WI 2018) Pages 592-597. IEEE, 2018.
- Fan Jiang, Carson K. Leung, Ryan Middleton, Adam G.M. Pazdor: Big Social Data Mining in a Cloud Computing Environment. In Proceedings of the 2018 International Conference on Cloud Computing, Big Data and Blockchain (ICCBB 2018), Fuzhou, China, Pages 1-8. IEEE, 2018.
- Yunke Li, Hongyuan Shi, Liang Chen, Fan Jiang: Face Pattern Recognition Using Convolutional Macropixel Approach. In Proceedings of the 17th International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC 2018), Berkeley, CA, USA. Pages 132-137. IEEE, 2018.
- Hongyuan Shi, Yunke Li, Liang Chen, Fan Jiang: Neighbouring Proximity - An Important Impact Factor of Deep Machine Learning. In Proceedings of the 17th International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC 2018), Berkeley, CA, USA. Pages 600-605. IEEE, 2018.
- Peter Braun, Alfredo Cuzzocrea, Fan Jiang, Carson Kai-Sang Leung, and Adam G.M. Pazdor: MapReduce-Based Complex Big Data Analytics Over Uncertain and Imprecise Social Networks. In Proceedings of the 19th International Conference on Big Data Analytics and Knowledge Discovery (DaWaK 2017), Lyon, France. Pages 130-145. Springer, 2017.
- Carson K. Leung, Fan Jiang, and Adam G.M. Pazdor: Bitwise Parallel Association Rule Mining for Web Page Recommendation: In Proceedings of the International Conference on Web Intelligence (WI 2017), Leipzig, Germany. Pages 662-669. IEEE/ACM, 2017.
- Alfredo Cuzzocrea, Giorgio M. Grasso, Fan Jiang, and Carson Kai-Sang Leung. Mining Uplink-Downlink User Association in Wireless Heterogeneous Networks. In Proceedings of the 17th International Conference Intelligent Data Engineering and Automated Learning (IDEAL 2016), Yangzhou, China. Pages 533-541. Springer, 2016.
- Fan Jiang, Carson Kai-Sang Leung, and Hao Zhang: B-mine: Frequent Pattern Mining and Its Application to Knowledge Discovery from Social Networks. In Proceedings of the 18th Asia-Pacific Web Conference on Web Technologies and Applications (APWeb 2016), Suzhou, China. Pages 316-328. Springer, 2016.
- Carson Kai-Sang Leung, Christopher L. Carmichael, Yaroslav Hayduk, and Fan Jiang, Vadim V. Kononov, Adam G. M. Pazdor: Data Mining Meets HCI: Data and Visual Analytics of Frequent Patterns. In Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD 2016), Riva del Garda, Italy. Part III. Pages 289-293. Springer, 2016.
- Fan Jiang, Carson Kai-Sang Leung, and Adam G. M. Pazdor: Big Data Mining of Social Networks for Friend Recommendation. In Proceedings of the 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2016), San Francisco, CA, USA. Pages 921-922. IEEE/ACM, 2016.
- Carson Kai-Sang Leung, Edson M. Dela Cruz, Trevor L. Cook, and Fan Jiang: Mining 'Following' Patterns from Big Sparse Social Networks. In Proceedings of International Symposium on Foundations and Applications of Big Data Analytics (FAB 2016) In conjunction of the 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2016), San Francisco, CA, USA. Pages 923-930. IEEE/ACM, 2016. Best Paper of FAB Workshop 2016.
- Carson K. Leung, Fan Jiang, Hao Zhang, Adam G. M. Pazdor: A Data Science Model for Big Data Analytics of Frequent Patterns. In Proceedings of the 2nd International Conference on Big Data Intelligence and Computing and Cyber Science and Technology Congress, (DataCom/CyberSciTech 2016), Auckland, New Zealand. Pages 866-873. IEEE, 2016.
- Carson K. Leung, Vadim V. Kononov, Adam G. M. Pazdor, Fan Jiang: PyramidViz: Visual Analytics and Big Data Visualization for Frequent Patterns. In Proceedings of the 2nd International Conference on Big Data Intelligence and Computing and Cyber Science and Technology Congress, (DataCom/CyberSciTech 2016), Auckland, New Zealand. Pages 913-916. IEEE, 2016.
- Fan Jiang, Carson Kai-Sang Leung, and Dacheng Liu: Efficiency Improvements in Social Network Communication via MapReduce. In Proceedings of the 8th IEEE international Conference on Cyber, Physical and Social Computing (CPSCom 2015), Sydney, Australia. IEEE, 2015.
- Carson Kai-Sang Leung and Fan Jiang: Big Data Analytics of Social Networks for the Discovery of "Following" Patterns. In Proceedings of the 17th International Conference on Big Data Analytics and Knowledge Discovery (DaWaK 2015), Valencia, Spain. Pages 123-135. Springer, 2015.
- Fan Jiang, Kyoji Kawagoe, and Carson Kai-Sang Leung: Big Social Network Mining for "Following" Patterns. In Proceedings of the 18th International C* Conference on Computer Science & Software Engineering (C3S2E 2015), Yokohoma, Japan. Pages 28-37. ACM, 2015.
- Alfredo Cuzzocrea, Fan Jiang, and Carson Kai-Sang Leung: Frequent Subgraph Mining from Streams of Linked Graph Structured Data. In Proceedings of the EDBT/ICDT Workshops (LWDM 2015) (CEUR-WS, vol. 1330), Brussels, Belgium. Pages 237-244. 2015.
- Fan Jiang and Carson Kai-Sang Leung: A Business Intelligence Solution for Frequent Pattern Mining on Social Networks. In Proceedings of the IEEE international Conference on Data Mining Workshop (ICDM Workshop 2014), Shenzhen, China. Pages 789-796. IEEE, 2014.
- Carson Kai-Sang Leung and Fan Jiang: A Data Science Solution for Mining Interesting Patterns from Uncertain Big Data. In Proceedings of the 4th IEEE International Conference on Big Data and Cloud Computing (BDCloud 2014), Sydney, Australia. Pages 235-242. IEEE, 2014.
- Fan Jiang, Carson Kai-Sang Leung, Dacheng Liu, and Aaron M. Peddle: Discovery of Really Popular Friends from Social Networks. In Proceedings of the 4th IEEE International Conference on Big Data and Cloud Computing (BDCloud 2014), Sydney, Australia. Pages 342-349. IEEE, 2014.
- Alfredo Cuzzocrea, Fan Jiang, Wookey Lee, and Carson Kai-Sang Leung: Efficient Frequent Itemset Mining from Dense Data Streams. In Proceedings of the 16th Asia-Pacific Web Conference (APWeb 2014), Changsha, China. Pages 593-601. Springer, 2014.
- Fan Jiang and Carson Kai-Sang Leung: Mining Interesting "Following" Patterns from Social Networks. In Proceedings of the 16th International Conference on Data Warehousing and Knowledge Discovery (DaWaK 2014), Munich, Germany. Pages 308-319. Springer, 2014.
- Carson Kai-Sang Leung, Richard Kyle MacKinnon, and Fan Jiang: Reducing the Search Space for Big Data Mining for Interesting Patterns from Uncertain Data. In Proceedings of the Third International Congress on Big Data (BigData 2014), Anchorage, USA. Pages 315-322. IEEE, 2014.
- Fan Jiang, Carson Kai-Sang Leung, and Richard Kyle MacKinnon: BigSAM: mining interesting patterns from probabilistic databases of uncertain big data. In Proceedings of the 18th Pacific-Asia Conference on Knowledge Discovery and Data Mining Workshop (PAKDD Workshop 2014), Tainan, Taiwan. Pages 780-792. Springer, 2014.
- Carson Kai-Sang Leung, Richard Kyle MacKinnon, and Fan Jiang: Distributed Uncertain Data Mining for Frequent Patterns Satisfying Anti-Monotonic Constraints. In Proceedings of the 28th IEEE International Conference on Advanced Information Networking and Applications Workshop (AINA Workshop 2014), Victoria, Canada. Pages 1-6. IEEE, 2014.
- Juan J. Cameron, Alfredo Cuzzocrea, Fan Jiang, and Carson Kai-Sang Leung: Frequent pattern mining from dense graph streams. In Proceedings of the EDBT/ICDT 2014 Joint Conference Workshop, Athens, Greece. Pages 240-247. 2014
- Fan Jiang and Carson Kai-Sang Leung: Stream Mining of Frequent Patterns from Delayed Batches of Uncertain Data. In Proceedings of the 15th International Conference on Data Warehousing and Knowledge Discovery (DaWaK 2013), Prague, Czech Republic. Pages 209-221. Springer, 2013.
- Syed Khairuzzaman Tanbeer, Fan Jiang, Carson Kai-Sang Leung, Richard Kyle MacKinnon, and Irish J.M. Medina: Finding Groups of Friends who are Significant across Multiple Domains in Social Networks. In Proceedings of the Fifth International Conference on Computational Aspects of Social Networks (CASoN 2013), Fargo, USA. Pages 21-26. IEEE, 2013.
- Juan J. Cameron, Alfredo Cuzzocrea, Fan Jiang, and Carson Kai-Sang Leung: Mining Frequent Itemsets from Sparse Data Streams in Limited Memory Environments. In Proceedings of the 14th International Conference on Web-Age Information Management (WAIM 2013), Beidaihe, China. Pages 51-57. Springer, 2013.
- Fan Jiang, Carson Kai-Sang Leung, and Syed K. Tanbeer: Finding Popular Friends in Social Networks. In Proceedings of the Second International Conference on Social Computing and Its Applications (SCA 2012), Xiangtan, China. Pages 501-508. IEEE, 2012.
- Carson Kai-Sang Leung, Fan Jiang, Lijing Sun, and Yan Wang: A Constrained Frequent Pattern Mining System for Handling Aggregate Constraints. In Proceedings of the 16th International Database Engineering and Applications Symposium (IDEAS 2012), Prague, Czech Republic, pages14-23. ACM, 2012.
- Carson Kai-Sang Leung and Fan Jiang: RadialViz: An Orientation-Free Frequent Pattern Visualizer. In Proceedings of the 16th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2012) Kuala Lumpur, Malaysia. Pages 322-334. Springer, 2012.
- Fan Jiang, Carson Kai-Sang Leung, and Pourang P. Irani: FpMapViz: A Space-Filling Visualization for Frequent Patterns. In Proceedings of the IEEE International Conference on Data Mining Workshop (ICDM Workshop 2011), Vancouver, Canada. Pages 804-811. IEEE, 2011.
- Carson Kai-Sang Leung and Fan Jiang: Frequent Pattern Mining from Time-Fading Streams of Uncertain Data. In Proceedings of the 13th International Conference on Data Warehousing and Knowledge Discovery (DaWaK 2011), Toulouse, France. Pages 252-264. Springer, 2011
- Carson Kai-Sang Leung, Fan Jiang, and Yaroslav Hayduk: A Landmark-Model Based System for Mining Frequent Patterns from Uncertain Data Streams. In Proceedings of the 15th International Database Engineering and Applications Symposium (IDEAS 2011), Lisbon, Portugal. Pages 249-250. ACM, 2011.
- Carson Kai-Sang Leung and Fan Jiang: Frequent Itemset Mining of Uncertain Data Streams Using the Damped Window Model. In Proceedings of the 2011 ACM Symposium on Applied Computing (SAC 11), Taichung, Taiwan. Pages 950-955. ACM, 2011.
- Carson Kai-Sang Leung, Boyu Hao, and Fan Jiang: Constrained Frequent Itemset Mining from Uncertain Data Streams. In Proceedings of the 26th IEEE International Conference on Data Engineering Workshop (ICDE Workshop 2010), Long Beach, USA. Pages 120-127. IEEE, 2010.
Book Chapters
- Fan Jiang, Colton Aarts: Emotion Detection on Twitter Textual Data. Big Data Analyses, Services, and Smart Data. Pages 66-76. Springer, 2021.
- Carson K. Leung, Fan Jiang, Yibin Zhang: Efficient and Flexible Compression of Very Sparse Networks of Big Data. Big Data and Social Media Analytics: Trending Applications. Pages 167-195. Springer, 2021.
- Carson K. Leung, Fan Jiang, Tik Wai Poon, Paul-Émile Crevier: Big Data Analytics of Social Network Data: Who Cares Most About You on Facebook? Highlighting the Importance of Big Data Management and Analysis for Various Applications. Pages 1-15. Springer, 2018.
- Alfredo Cuzzocrea, Carson Kai-Sang Leung, Fan Jiang, and Richard Kyle MacKinnon: Complex Mining from Uncertain Big Data in Distributed Environments: Problems, Definitions and Two Effective and Efficient Algorithms. Big Data Management, Architecture, and Processing. 2017. ISBN 978-1498768078.
- Carson Kai-Sang Leung, Fan Jiang, Edson M. Dela Cruz, and Vijay Sekar Elango: Association Rule Mining in Collaborative Filtering. Collaborative Filtering Using Data Mining and Analysis. Ch.9. Pages 159-179. 2017. ISBN 978-1-5225-0489-4.