Book Chapters

• Yong Zheng and Bamshad Mobasher. "Context-Aware Recommendations". In Book: Collaborative Recommendations: Algorithms, Practical Challenges and Applications (ISBN: 9789813275348), pp. 173-202, World Scientific Publishing, 2018
• Yong Zheng, Bamshad Mobasher, Robin Burke. "Emotions in Context-aware Recommender Systems". In Book: Emotions and Personality in Personalized Services: Models, Evaluation and Applications (ISBN: 3319314114), pp. 311-326, Springer, 2016

Editorial Publications

• Edited Conference/Workshop Proceedings
  • 2022 - Present
    • Ray Trygstad, Yong Zheng. "SIGITE '22: The 23rd Annual Conference on Information Technology Education", Proceedings of the 23rd ACM Conference on Information Technology Education (SIGITE), Chicago, IL, USA, September, 2022
    • Casper Petersen, Cataldo Musto, David (Xuejun) Wang, Giovanni Semeraro, Simone Borg Bruun, Toine Bogers, Yong Zheng, Alexander Felfernig. "FinRec: The 3rd International Workshop on Personalization and Recommender Systems in Financial Services", Proceedings of the ACM Conference on Recommender Systems (RecSys), Seattle, USA, September, 2022
    • Yong Zheng, Markus Zanker, Li Chen, Panagiotis Symeonidis. "Track Editorial: Track on Recommender Systems: Theory, User Interactions and Applications", at the 37th ACM SIGAPP Symposium on Applied Computing (ACM SAC), Brno, Czech Republic, 2022 [PDF]
  • 2017 - 2021 2017 - 2021
    • Yong Zheng, Li Chen, Markus Zanker, Panagiotis Symeonidis. Track Editorial: Track on Recommender Systems: Theory, User Interactions and Applications", at the 36th ACM SIGAPP Symposium on Applied Computing (ACM SAC), South Korea, 2021 [PDF]
    • Markus Zanker, Panagiotis Symeonidis, Yong Zheng. Track Editorial: Track on Recommender Systems: Theory, User Interactions and Applications", at the 35th ACM SIGAPP Symposium on Applied Computing (ACM SAC), Czech Republic, 2020 [PDF]
    • Markus Zanker, Li Chen, Panagiotis Symeonidis, Yong Zheng. Track Editorial: "Track on Recommender Systems: Theory, User Interactions and Applications", at the 34th ACM SIGAPP Symposium on Applied Computing (ACM SAC), Limassol, Cyprus, April, 2019 [PDF]
    • Shaghayegh (Sherry) Sahebi, Yong Zheng, Weike Pan, Ignacio Fernández. Workshop Editorial: "The 2nd Workshop on Intelligent Recommender Systems by Knowledge Transfer & Learning (RecSysKTL)", Proceedings of the 12th ACM Conference on Recommender Systems, Vancouver, Canada, Oct, 2018
    • Nadia Najjar, Yong Zheng, Carlos E. Seminario. Track Editorial: "Special Track on Recommender Systems", at the 31st International Florida Artificial Intelligence Research Society Conference (FLAIRS 2018), Melbourne, Florida, USA, 2018
    • Yong Zheng, Li Chen, Markus Zanker. Track Editorial: "Track on Recommender Systems: Theory, User Interactions and Applications", at the 33rd ACM SIGAPP Symposium on Applied Computing (SAC'2018), April 9-13 2018, Pau, France [PDF]
    • Yong Zheng, Weike Pan, Shaghayegh (Sherry) Sahebi, Ignacio Fernández. Workshop Editorial: "The 1st Workshop on Intelligent Recommender Systems by Knowledge Transfer & Learning (RecSysKTL)", Proceedings of the 11th ACM Conference on Recommender Systems, Como, Italy, Aug 27-31, 2017
    • Yong Zheng, Li Chen, Markus Zanker. Track Editorial: "Track on Recommender Systems: Theory and Applications", at the 32nd ACM SIGAPP Symposium on Applied Computing (SAC'2017), April 3-7, 2017, Marrakech, Morocco [PDF]
• Edited Journal Special Issues
  • Yong Zheng, et al. "Special Issue on Information Technology Education", Education and Information Technologies, Springer, 2023
  • Yong Zheng, María N. Moreno-García. "Special Issue on Affective Computing and Recommender Systems", Applied Sciences, MDPI, 2022
  • Yong Zheng, Li Chen, Markus Zanker, Panagiotis Symeonidis. "JIIS Preface for the Special Issue on Advances in Recommender Systems", Journal of Intelligent Information Systems, Springer, 2022

Journals, Magazines, Articles or Post-Proceedings

• Yong Zheng, Kumar Neelotpal Shukla, Jasmine Xu, David (Xuejun) Wang, Michael O'Leary. "MOPO-LSI: An Open-Source Multi-Objective Portfolio Optimization Library for Sustainable Investments", Software Impacts, Vol. 16, 100499, Elsevier, 2023
• Yong Zheng, Shuaiqi Zheng. "Exploring Educational Impacts Among Pre, During and Post COVID-19 Lockdowns From Students with Different Personality Traits", International Journal of Educational Technology in Higher Education, Springer, 2023
• Yong Zheng, David (Xuejun) Wang. "Multi-Criteria Ranking: Next Generation of Multi-Criteria Recommendation Framework", IEEE Access, Vol. 10, p. 90715-90725, IEEE, 2022
• Yong Zheng. "DeepCARSKit: A Deep Learning Based Context-Aware Recommendation Library", Software Impacts, Vol. 13, 100292, Elsevier, 2022
• Yong Zheng. "Non-Dominated Differential Context Modeling for Context-Aware Recommendations", Applied Intelligence, Vol. 52 (9), p. 10008–10021, Springer, 2022
• Yong Zheng, David (Xuejun) Wang. "A Survey of Recommender Systems with Multi-Objective Optimization", Neurocomputing, Vol. 474, p. 141-153, Elsevier, 2022
• Yong Zheng. "Context-Aware Collaborative Filtering Using Context Similarity: An Empirical Comparison". Information, Vol. 13 (1): 42, MDPI, 2022
• Yong Zheng, Juan Ruiz Toribio. "The Role of Transparency in Multi-Stakeholder Educational Recommendations". User Modeling and User-Adapted Interaction, Vol. 31 (3):5, p. 513–540, Springer, 2021
• Yong Zheng, Archana Subramaniyan. "Personality-Aware Recommendations: An Empirical Study In Educations". International Journal of Grid and Utility Computing, Vol. 12 (5/6), p. 524-533, Inderscience Publishers, 2021
• Yong Zheng. "Penalty-Enhanced Utility-Based Multi-Criteria Recommendations". Information, Vol. 11 (12): 551, MDPI, 2020
• Diego Sánchez-Moreno, Yong Zheng, and María N. Moreno-García. "Time-Aware Music Recommender Systems: Modeling the Evolution of Implicit User Preferences and User Listening Habits in A Collaborative Filtering Approach". Applied Sciences, Vol. 10 (15): 5324, MDPI, 2020
• Yong Zheng. "Preference Corrections: Capturing Student and Instructor Perceptions in Educational Recommendations", Smart Learning Environments, Vol. 6 (1):29, Springer, 2019
• Yong Zheng. "Multi-Criteria Recommendations By Using Criteria Preferences as Contexts", Towards Integrated Web, Mobile, and IoT Technology, Lecture Notes in Business Information Processing (LNBIP), Vol. 347, Springer, 2019

Conference Tutorials

• Yong Zheng. "Tutorial: Educational Recommender Systems", The 24th International Conference on Artificial Intelligence in Education (AIED), Japan, July 2023
• Yong Zheng. "Educational Recommender Systems", The 14th IEEE Global Engineering Education Conference (EDUCON), Kuwait, May, 2023
• Yong Zheng, David (Xuejun) Wang. "Multi-Criteria Decision Making and Recommender Systems", The 28th ACM Conference on Intelligent User Interfaces (ACM IUI), Sydney, Australia, March, 2023
• Yong Zheng, David (Xuejun) Wang. "Multi-Objective Optimization and Recommendations", at the IEEE International Conference on Data Mining (ICDM), Dec, 2022 (Tutorial Website)
• Yong Zheng, David (Xuejun) Wang. "Multi-Objective Recommendations", Proceedings of the ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), Aug, 2021 (Tutorial Website)
• Yong Zheng, David (Xuejun) Wang. "Recommender Systems with Multi-Objective Optimization", ACM Conference on Recommender Systems (RecSys), 2021 (Accepted, but finally withdrawn due to that we cannot attend the conference in-person)
• Muthusamy Chelliah, Yong Zheng, Sudeshna Sarkar, Vishal Kakkar. "Recommendation for Multi-Stakeholders and through Neural Review Mining", Proceedings of the 28th ACM International Conference on Information and Knowledge Management (CIKM), Beijing, China, Nov, 2019 (Tutorial Website)
• Yong Zheng. "Multi-Stakeholder Recommendations: Case Studies, Methods and Challenges", Proceedings of the 13th ACM Conference on Recommender Systems (RecSys), Copenhagen, Denmark, September 19th, 2019 (Slide and Demo)
• Yong Zheng. "Context-awareness In Information Retrieval and Recommender Systems", Proceedings of the 15th IEEE/WIC/ACM International Conference on Web Intelligence (WI'16), Omaha, USA, Oct 2016 (Slide)
• Yong Zheng. "Context In Recommender Systems", Proceedings of the 31st ACM SIGAPP Symposium on Applied Computing (ACM SAC), Pisa, Italy, April 2016 (Slide)

Refereed Conference Publications

• 2022 - Present
  • Yong Zheng, David (Xuejun) Wang. "Hybrid Multi-Criteria Preference Ranking by Subsorting". The 14th Multidisciplinary Workshop on Advances in Preference Handling (M-PREF) at IJCAI 2023, Aug, 2023
  • Yong Zheng, David (Xuejun) Wang. "Multi-Criteria Ranking by Using Relaxed Pareto Ranking Methods", Adjunct Proceedings of the 31st ACM Conference on User Modeling, Adaptation and Personalization (ACM UMAP), June, 2023
  • Yong Zheng, David (Xuejun) Wang. "A Comparative Study of Preference Ordering Methods for Multi-Criteria Ranking", Proceedings of the 10th IEEE Swiss Conference on Data Science, June, 2023
  • Yong Zheng. "ITM-Rec: An Open Data Set for Educational Recommender Systems". Companion Proceedings of the 13th International Conference on Learning Analytics & Knowledge (LAK), Arlington, TX, USA, March 13-17, 2023
  • Yong Zheng, Shuaiqi Zheng. "A Comparison of Students' Learning Behaviors and Performance Among Pre, During and Post COVID-19 Pandemic", Proceedings of the 23rd ACM Conference on Information Technology Education (ACM SIGITE), USA, 2022
  • Yong Zheng, Gonzalo Florez Arias. "A Family of Neural Contextual Matrix Factorization Models for Context-Aware Recommendations", Adjunct Proceedings of the 30th ACM Conference on User Modeling, Adaptation and Personalization (ACM UMAP), Spain, July, 2022
  • Yong Zheng. "DeepCARSKit: A Demo and User Guide", Adjunct Proceedings of the 30th ACM Conference on User Modeling, Adaptation and Personalization (ACM UMAP), Spain, July, 2022
• 2016 - 2020 2016 - 2020
  • Yong Zheng. "SIGITE and SIGCSE Symposiums: A Comparative Study", Proceedings of the 21st ACM Conference on Information Technology Education (ACM SIGITE), Omaha, USA, Oct 7 - 9, 2020
  • Yong Zheng. "Multi-Stakeholder Personalized Learning with Preference Corrections", Proceeding of the 19th IEEE International Conference on Advanced Learning Technologies (IEEE ICALT), Maceió - Alagoas, Brazil, July 15-18, 2019 (Acceptance rate: 15.1%)
  • Yong Zheng, Nastaran Ghane, Milad Sabouri. "Personalized Educational Learning with Multi-Stakeholder Optimizations", Adjunct Proceedings of the 27th ACM Conference on User Modeling, Adaptation and Personalization (ACM UMAP), Cyprus, June, 2019
  • Yong Zheng, Shephalika Shekhar, Alisha Anna Jose and Sunil Kumar Rai. "Integrating Context-Awareness and Multi-Criteria Decision Making in Educational Learning", Proceedings of the 34th ACM SIGAPP Symposium on Applied Computing (ACM SAC), Limassol, Cyprus, April, 2019 (Acceptance rate: 24%)
  • Yong Zheng and Alisha Anna Jose. "Context-Aware Recommendations via Sequential Predictions", Proceedings of the 34th ACM SIGAPP Symposium on Applied Computing (ACM SAC), Limassol, Cyprus, April, 2019 (Acceptance rate: 24%)
  • Yong Zheng. "Utility-Based Multi-Criteria Recommender Systems", Proceedings of the 34th ACM SIGAPP Symposium on Applied Computing (ACM SAC), Limassol, Cyprus, April, 2019 (Acceptance rate: 24%)
  • Diego Sánchez-Moreno, Yong Zheng, and María N. Moreno-García. "Incorporating Time Dynamics and Implicit Feedbacks into Music Recommender Systems", Proceedings of the 17th IEEE/WIC/ACM International Conference on Web Intelligence (WI'18), Santiago, Chile, December, 2018 (Acceptance rate: 32%, short paper)
  • Yong Zheng, Aviana Pu. "Utility-Based Multi-Stakeholder Recommendations By Multi-Objective Optimization", Proceedings of the 17th IEEE/WIC/ACM International Conference on Web Intelligence (WI'18), Santiago, Chile, December, 2018 (Acceptance rate: 30%, long paper)
  • Yong Zheng. "Exploring User Roles In Group Recommendations: A Learning Approach", Adjunct Proceedings of the 26th ACM Conference on User Modeling, Adaptation and Personalization (ACM UMAP), Singapore, July, 2018
  • Yong Zheng, Tanaya Dave, Neha Mishra and Harshit Kumar. "Fairness In Reciprocal Recommendations: A Speed-Dating Study", Adjunct Proceedings of the 26th ACM Conference on User Modeling, Adaptation and Personalization (ACM UMAP), Singapore, July, 2018
  • Yong Zheng. "Identifying Dominators and Followers In Group Decision Making Based on The Personality Traits",  Proceedings of HUMANIZE Workshop at ACM Conference on Intelligent User Interfaces, Tokyo, Japan, 2018
  • Yong Zheng. "Personality-Aware Decision Making In Educational Learning", Proceedings of the 23rd ACM Conference on Intelligent User Interfaces (ACM IUI), Tokyo, Japan, March 7-11, 2018
  • Yong Zheng. "Multi-Stakeholder Recommendation: Applications and Challenges", by The 1st Workshop on The Value-Aware and Multi-Stakeholder Recommendation held in conjunction with the 11th ACM Conference on Recommender Systems, Como, Italy, August 2017
  • Yong Zheng. "Context Suggestion: Empirical Evaluations vs User Studies", Proceedings of the 16th IEEE/WIC/ACM International Conference on Web Intelligence (WI'17), Leipzig, Germany, August 2017
  • Yong Zheng. "Indirect Context Suggestion", Proceedings of the 25th ACM Conference on User Modeling, Adaptation and Personalization (ACM UMAP), Bratislava, Slovakia, July 2017
  • Yong Zheng. "Criteria Chains: A Novel Multi-Criteria Recommendation Approach", The 22nd ACM Conference on Intelligent User Interfaces (ACM IUI), Limassol, Cyprus, March 13-16, 2017 (Acceptance rate: 17%)
  • Yong Zheng. "Context-Awareness In Recommender Systems", PhD Dissertation, DePaul University, USA, 2016
  • Yong Zheng. "Adapt to Emotional Reactions In Context-aware Personalization", Proceedings of the 4th Workshop on Emotions and Personality in Personalized Systems (EMPIRE) held in conjunction with the 10th ACM Conference on Recommender Systems (ACM RecSys), Boston, USA, Sep 15-19, 2016
  • Yong Zheng, Bamshad Mobasher, Robin Burke. "User-Oriented Context Suggestion", Proceedings of the 24th ACM Conference on User Modeling, Adaptation and Personalization (ACM UMAP), pp. 249-258, Halifax, Canada, July 2016 (Long paper Acceptance rate: 23.9%)
• 2011 - 2015 2011 - 2015
  • Yong Zheng. "Context Suggestion: Solutions and Challenges", Proceedings of the 15th IEEE International Conference on Data Mining (IEEE ICDM) Workshops, pp. 1602-1603, Atlantic City, NJ, USA, Nov 2015
  • Yong Zheng, Bamshad Mobasher, Robin Burke. "CARSKit: A Java-Based Context-aware Recommendation Engine", Proceedings of the 15th IEEE International Conference on Data Mining (IEEE ICDM) Workshops, pp. 1668-1671, Atlantic City, NJ, USA, Nov 2015
  • Yong Zheng, Bamshad Mobasher, Robin Burke. "Similarity-Based Context-aware Recommendation", Proceedings of the 16th International Conference on Web Information System Engineering (WISE), pp. 431-447, Miami, FL, USA, Nov 2015 (Acceptance rate: 28.5%)
  • Yong Zheng, Bamshad Mobasher, Robin Burke. "Integrating Context Similarity with Sparse Linear Recommendation Model", Proceedings of the 23rd Conference on User Modeling, Adaptation and Personalization (UMAP), pp. 370-376, Dublin, Ireland, June 2015 (Overall Acceptance rate: 28.5%)
  • Yong Zheng. "A Revisit to The Identification of Contexts in Recommender Systems", Proceedings of the 20th ACM Conference on Intelligent User Interfaces (ACM IUI) Companion, pp. 133-136, Atlanta, GA, USA, March 2015
  • Yong Zheng, Bamshad Mobasher, Robin Burke. "Deviation-Based Contextual SLIM Recommenders", Proceedings of the 23rd ACM Conference on Information and Knowledge Management (ACM CIKM), pp. 271-280, Shanghai, China, Nov 2014 (Acceptance rate: 20.8%)
  • Yong Zheng. "Deviation-Based and Similarity-Based Contextual SLIM Recommendation Algorithms", Proceedings of the 8th ACM Conference on Recommender Systems (ACM RecSys), pp. 437-440, Silicon Valley, Foster City, CA, USA, Oct 2014
  • Yong Zheng, Bamshad Mobasher, Robin Burke. "CSLIM: A Contextual SLIM Recommendation Algorithm", Proceedings of the 8th ACM Conference on Recommender Systems (ACM RecSys), pp. 301-304, Silicon Valley, Foster City, CA, USA, Oct 2014 (Acceptance rate: 24%)
  • Yong Zheng, Robin Burke, Bamshad Mobasher. "Splitting Approaches for Context-Aware Recommendation: An Empirical Study", Proceedings of the 29th ACM Symposium on Applied Computing (ACM SAC), pp. 274-279, Gyeongju, South Korea, March 2014 (Acceptance rate: 23%)
  • Yong Zheng, Bamshad Mobasher, Robin Burke. "Context Recommendation Using Multi-label Classification", Proceedings of the 13th IEEE/WIC/ACM Conference on Web Intelligence (IEEE/WIC/ACM WI), pp. 288-295, Warsaw, Poland, Aug 2014
  • Yong Zheng, Robin Burke, Bamshad Mobasher. "The Role of Emotions in Context-aware Recommendation", Proceedings of the 3rd Workshop on Human Decision Making in Recommender Systems held in conjunction with the 7th ACM Conference on Recommender Systems (ACM RecSys), pp. 21-28, Hong Kong, China, Oct 2013
  • Yong Zheng, Robin Burke, Bamshad Mobasher. "Recommendation with Differential Context Weighting". Proceedings of the 21st International Conference on User Modeling, Adaptation and Personalization (UMAP), pp. 152-164, Rome, Italy, June 2013 (Overall Acceptance rate: 30%)
  • Yong Zheng, Robin Burke, Bamshad Mobasher. "Optimal Feature Selection for Context-Aware Recommendation using Differential Relaxation". Proceedings of the 4th Workshop on Context-Aware Recommender Systems held in conjunction with the 6th ACM Conference on Recommender Systems (ACM RecSys), Dublin, Ireland, Sep 2012
  • Yong Zheng, Robin Burke, Bamshad Mobasher. "Differential Context Relaxation for Context-aware Travel Recommendation". The 13th International Conference on Electronic Commerce and Web Technologies (EC-WEB), pp. 88-99, Vienna, Austria, Sep 2012 (Acceptance rate: 33%)
  • Negar Hariri, Bamshad Mobasher, Robin Burke, Yong Zheng. "Context-Aware Recommendation Based On Review Mining", Proceedings of the 9th Workshop on Intelligent Techniques for Web Personalization & Recommender Systems held in conjunction with the 22nd International Joint Conference on Artificial Intelligence (IJCAI), pp. 30-36, Barcelona, Spain, July 2011