You are now in the main content area

Publications

For the full publication list, please refer to my Google Scholar and DBLP page.

[Google Scholar (external link) ]  [DBLP (external link) ]

Selected Papers

Paper Name
Shaina Raza, Deepak John Reji, and Chen Ding, Dbias: detecting biases and ensuring fairness in news articles. International Journal of Data Science and Analytics, September 1, 2022, Springer
Shaina Raza, and Chen Ding, Fake news detection based on news content and social contexts: a transformer-based approach. International Journal of Data Science and Analytics, January 30, 2022, Springer
Syeda Nadia Firdaus, Chen Ding, and Alireza Sadeghian, Retweet Prediction based on Topic, Emotion and Personality, Online Social Networks and Media, 25, 100165, 2021, Elsevier
Shaina Raza, and Chen Ding, News Recommender System: A Review of Recent Progress, Challenges, and Opportunities, Artificial Intelligence Review, 1-52, 2021, Springer
Dejan Spanovic, and Chen Ding, A Streamlined News Recommender System Using Variable Markov Model, In Proceedings of the 2020 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT'20), pp. 72-79, December 14-17, 2020
Shaina Raza, and Chen Ding, A Regularized Model to Trade-off between Accuracy and Diversity in a News Recommender System, In Proceedings of the 2020 IEEE International Conference on Big Data (Big Data), pp. 551-560, December 10-13, 2020
Bayan Alghofaily, and Chen Ding, MLP4ML: Machine Learning Service Recommendation System using MLP, In Proceedings of the 17th IEEE International Conference on Services Computing (SCC), pp. 84-91, October 19-23, 2020
Shaina Raza, and Chen Ding, News Recommender System Considering Temporal Dynamics and News Taxonomy, In Proceedings of the 2019 IEEE International Conference on Big Data, pp. 920-929, December 9-12, 2019
Zainab Al-zanbouri, and Chen Ding, Recommending Energy-Efficient Data Mining Services with Data as Contextual Factors, In Proceedings of the 16th IEEE International Conference on Services Computing (SCC), pp. 14-18, July 8-13, 2019
Bayan Alghofaily, and Chen Ding, Data mining service recommendation based on dataset features, Service Oriented Computing and Applications, 13(3): 261-277, 2019, Springer
Shaina Raza, and Chen Ding, Progress in context-aware recommender systems - An overview, Computer Science Review, 31: 84-97, February 2019, Elsevier
Syeda Nadia Firdaus, Chen Ding, and Alireza Sadeghian, Retweet: A Popular Information Diffusion Mechanism – a Survey Paper, Online Social Networks and Media, 6: 26-40, June 2018, Elsevier
Dipak Pudasaini, and Chen Ding, Service Selection in a Cloud Marketplace: A Multi-Perspective Solution, In Proceedings of the 10th IEEE International conference on Cloud Computing (Cloud), pp. 576-583, June 25-30, 2017
Zainab Al-zanbouri, and Chen Ding, Selecting Green Data Mining Services, In Proceedings of the 14th IEEE International Conference on Services Computing (SCC), pp. 100-107, June 25-30, 2017
Navati Jain, Chen Ding, and Xumin Liu, Data-Dependent QoS-based Service Selection, In Proceedings of the 14th International Conference on Service-Oriented Computing (ICSOC), pp. 617-625, October 10-13, 2016
Md Shahinur Rahman, Chen Ding, Xumin Liu, and Chi-Hung Chi, A Testbed for Collecting QoS Data of Cloud-based Analytic Services, In Proceedings of the 9th IEEE International Conference on Cloud Computing (Cloud), pp. 236-243, June 27 - July 2, 2016
Raed Karim, Chen Ding, Ali Miri, and Md Shahinur Rahman, Incorporating Service and User Information and Latent Features to Predict QoS for Selecting and Recommending Cloud Service Compositions, Cluster Computing, 19(3): 1227-1242, 2016, Springer
Raed Karim, Chen Ding, and Ali Miri, End-to-End QoS Prediction of Vertical Service Composition in the Cloud, In Proceedings of the 8th IEEE International conference on Cloud Computing (Cloud), pp. 229-236, June 27 – July 2, 2015
Muhammad Suleman Saleem, Chen Ding, Xumin Liu, and Chi-Hung Chi, Personalized Decision-Strategy based Web Service Selection using a Learning-to-Rank Algorithm, IEEE Transactions on Services Computing, 8(5): 727-739, 2015, IEEE