Personal information

user modeling; personalization; recommender systems; context-aware; human factors
United States

Activities

Employment (1)

Illinois Institute of Technology: Chicago, IL, US

Employment
Source: Self-asserted source
Yong Zheng

Education and qualifications (1)

DePaul University: Chicago, IL, US

PhD
Education
Source: Self-asserted source
Yong Zheng

Professional activities (2)

IEEE: New York, NY, US

Membership
Source: Self-asserted source
Yong Zheng

Association for Computing Machinery: New York, NY, US

Membership
Source: Self-asserted source
Yong Zheng

Funding (7)

Deep Recommender Systems

2022-07 to 2023-07 | Award
Amazon Web Services (VA, VA, US)
Source: Self-asserted source
Yong Zheng

Multi-Objective Portfolio Optimization

2022-06 to 2023-10 | Grant
Morningstar, Inc. (Chicago, IL, US)
Source: Self-asserted source
Yong Zheng

ACM SIGCHI Development Fund

2022-05 to 2022-08 | Grant
Association for Computing Machinery (NY, NY, US)
Source: Self-asserted source
Yong Zheng

Deep Recommender Systems

2022-01 to 2023-01 | Award
Google (CA, CA, US)
Source: Self-asserted source
Yong Zheng

ACM SIGCHI Development Fund

2021-04 to 2021-08 | Grant
Association for Computing Machinery (NY, NY, US)
Source: Self-asserted source
Yong Zheng

ACM UMAP Student Travel Grant

2020-05 to 2024-03 | Grant
National Science Foundation (VA, VA, US)
GRANT_NUMBER: 2022227
Source: Self-asserted source
Yong Zheng

ACM UMAP Student Travel Grant

2018-03 to 2020-03 | Grant
National Science Foundation (VA, VA, US)
GRANT_NUMBER: 1830908
Source: Self-asserted source
Yong Zheng

Works (50 of 57)

Items per page:
Page 1 of 2

Tutorial: Educational Recommender Systems

2023 | Book chapter
Contributors: Yong Zheng
Source: check_circle
Crossref

ChatGPT for Teaching and Learning: An Experience from Data Science Education

2023-10-11 | Conference paper
Contributors: Yong Zheng
Source: check_circle
Crossref

Multi-Objective Portfolio Optimization Towards Sustainable Investments

2023-08-16 | Conference paper
Contributors: Yong Zheng; Kumar Neelotpal Shukla; Jasmine Xu; David Xuejun Wang; Michael O'Leary
Source: check_circle
Crossref

Multi-Criteria Ranking by Using Relaxed Pareto Ranking Methods

2023-06-16 | Conference paper
Contributors: Yong Zheng; David Xuejun Wang
Source: check_circle
Crossref

MOPO-LSI: An open-source multi-objective portfolio optimization library for sustainable investments

Software Impacts
2023-05 | Journal article
Contributors: Yong Zheng; Kumar Neelotpal Shukla; Jasmine Xu; David (Xuejun) Wang; Michael O’Leary
Source: check_circle
Crossref

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
2023-04-03 | Journal article
Contributors: Yong Zheng; Shuaiqi Zheng
Source: check_circle
Crossref

Multi-Criteria Decision Making and Recommender Systems

2023-03-27 | Conference paper
Contributors: Yong Zheng; David (Xuejun) Wang
Source: check_circle
Crossref

Multi-Criteria Ranking: Next Generation of Multi-Criteria Recommendation Framework

IEEE Access
2022 | Journal article
Contributors: Yong Zheng; David Wang
Source: check_circle
Crossref

DeepCARSKit: A deep learning based context-aware recommendation library

Software Impacts
2022-08 | Journal article
Contributors: Yong Zheng
Source: check_circle
Crossref

Non-dominated differential context modeling for context-aware recommendations

Applied Intelligence
2022-07 | Journal article
Contributors: Yong Zheng
Source: check_circle
Crossref

JIIS preface for the special issue on advances in recommender systems

Journal of Intelligent Information Systems
2022-04 | Journal article
Contributors: Yong Zheng; Li Chen; Markus Zanker; Panagiotis Symeonidis
Source: check_circle
Crossref

A survey of recommender systems with multi-objective optimization

Neurocomputing
2022-02 | Journal article
Part of ISSN: 0925-2312
Source: Self-asserted source
Yong Zheng

Multi-Objective Recommendations

Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining
2021-08-14 | Conference paper
Source: Self-asserted source
Yong Zheng

The role of transparency in multi-stakeholder educational recommendations

User Modeling and User-Adapted Interaction
2021-07-07 | Journal article
Contributors: Yong Zheng; Juan Ruiz Toribio
Source: check_circle
Crossref

Penalty-Enhanced Utility-Based Multi-Criteria Recommendations

Information
2020-11 | Journal article | Author
Contributors: Yong Zheng
Source: check_circle
Multidisciplinary Digital Publishing Institute
grade
Preferred source (of 2)‎

SIGITE and SIGCSE Symposiums

Proceedings of the 21st Annual Conference on Information Technology Education
2020-10-07 | Other
Contributors: Yong Zheng
Source: Self-asserted source
Yong Zheng via Crossref Metadata Search

Time-Aware Music Recommender Systems: Modeling the Evolution of Implicit User Preferences and User Listening Habits in A Collaborative Filtering Approach

Applied Sciences
2020-07 | Journal article | Author
Contributors: Diego Sánchez-Moreno; Yong Zheng; María N. Moreno García
Source: check_circle
Multidisciplinary Digital Publishing Institute

A course on applied AI and data science: Recommender systems

SIGITE 2019 - Proceedings of the 20th Annual Conference on Information Technology Education
2019 | Conference paper
EID:

2-s2.0-85073616453

Contributors: Zheng, Y.
Source: Self-asserted source
Yong Zheng via Scopus - Elsevier

Context-aware recommendations via sequential predictions

Proceedings of the ACM Symposium on Applied Computing
2019 | Conference paper
EID:

2-s2.0-85065673441

Contributors: Zheng, Y.; Jose, A.A.
Source: Self-asserted source
Yong Zheng via Scopus - Elsevier

Incorporating Time Dynamics and Implicit Feedback into Music Recommender Systems

Proceedings - 2018 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2018
2019 | Conference paper
EID:

2-s2.0-85061900521

Contributors: Sanchez-Moreno, D.; Zheng, Y.; Moreno-Garcia, M.N.
Source: Self-asserted source
Yong Zheng via Scopus - Elsevier

Integrating context-awareness and multi-criteria decision making in educational learning

Proceedings of the ACM Symposium on Applied Computing
2019 | Conference paper
EID:

2-s2.0-85065643929

Contributors: Zheng, Y.; Shekhar, S.; Jose, A.A.; Rai, S.K.
Source: Self-asserted source
Yong Zheng via Scopus - Elsevier

Multi-criteria Recommendations by Using Criteria Preferences as Contexts

Lecture Notes in Business Information Processing
2019 | Book
EID:

2-s2.0-85071954961

Contributors: Zheng, Y.
Source: Self-asserted source
Yong Zheng via Scopus - Elsevier

Multi-stakeholder personalized learning with preference corrections

Proceedings - IEEE 19th International Conference on Advanced Learning Technologies, ICALT 2019
2019 | Conference paper
EID:

2-s2.0-85068683812

Contributors: Zheng, Y.
Source: Self-asserted source
Yong Zheng via Scopus - Elsevier

Multi-stakeholder recommendations: Case studies, methods and challenges

RecSys 2019 - 13th ACM Conference on Recommender Systems
2019 | Conference paper
EID:

2-s2.0-85073330770

Contributors: Zheng, Y.
Source: Self-asserted source
Yong Zheng via Scopus - Elsevier

Personalized educational learning with multi-stakeholder optimizations

ACM UMAP 2019 Adjunct - Adjunct Publication of the 27th Conference on User Modeling, Adaptation and Personalization
2019 | Conference paper
EID:

2-s2.0-85068656856

Contributors: Zheng, Y.; Ghane, N.; Sabouri, M.
Source: Self-asserted source
Yong Zheng via Scopus - Elsevier

Recommendation for multi-stakeholders and through neural review mining

International Conference on Information and Knowledge Management, Proceedings
2019 | Conference paper
EID:

2-s2.0-85075451549

Contributors: Chelliah, M.; Sarkar, S.; Zheng, Y.; Kakkar, V.
Source: Self-asserted source
Yong Zheng via Scopus - Elsevier

Special track on recommender systems: Theory, user interactions and applications

Proceedings of the ACM Symposium on Applied Computing
2019 | Conference paper
EID:

2-s2.0-85065647217

Contributors: Zanker, M.; Chen, L.; Symeonidis, P.; Zheng, Y.
Source: Self-asserted source
Yong Zheng via Scopus - Elsevier

Utility-based multi-criteria recommender systems

Proceedings of the ACM Symposium on Applied Computing
2019 | Conference paper
EID:

2-s2.0-85064013375

Contributors: Zheng, Y.
Source: Self-asserted source
Yong Zheng via Scopus - Elsevier

Utility-Based Multi-Stakeholder Recommendations by Multi-Objective Optimization

Proceedings - 2018 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2018
2019 | Conference paper
EID:

2-s2.0-85061917477

Contributors: Zheng, Y.; Pu, A.
Source: Self-asserted source
Yong Zheng via Scopus - Elsevier

Context-aware mobile recommendation by a novel post-filtering approach

Proceedings of the 31st International Florida Artificial Intelligence Research Society Conference, FLAIRS 2018
2018 | Conference paper
EID:

2-s2.0-85065644704

Contributors: Zheng, Y.
Source: Self-asserted source
Yong Zheng via Scopus - Elsevier

Exploring user roles in group recommendations: A learning approach

UMAP 2018 - Adjunct Publication of the 26th Conference on User Modeling, Adaptation and Personalization
2018 | Conference paper
EID:

2-s2.0-85051510085

Contributors: Zheng, Y.
Source: Self-asserted source
Yong Zheng via Scopus - Elsevier

Fairness in reciprocal recommendations: A speed-dating study

UMAP 2018 - Adjunct Publication of the 26th Conference on User Modeling, Adaptation and Personalization
2018 | Conference paper
EID:

2-s2.0-85051462846

Contributors: Zheng, Y.; Dave, T.; Mishra, N.; Kumar, H.
Source: Self-asserted source
Yong Zheng via Scopus - Elsevier

Identifying dominators and followers in group decision making based on the personality traits

CEUR Workshop Proceedings
2018 | Conference paper
EID:

2-s2.0-85044507806

Contributors: Zheng, Y.
Source: Self-asserted source
Yong Zheng via Scopus - Elsevier

Personality-Aware decision making in educational learning

International Conference on Intelligent User Interfaces, Proceedings IUI
2018 | Conference paper
EID:

2-s2.0-85044546082

Contributors: Zheng, Y.
Source: Self-asserted source
Yong Zheng via Scopus - Elsevier

Special track on recommender systems: Theory, user interactions and applications

Proceedings of the ACM Symposium on Applied Computing
2018 | Conference paper
EID:

2-s2.0-85050514677

Contributors: Zheng, Y.; Chen, L.; Zanker, M.
Source: Self-asserted source
Yong Zheng via Scopus - Elsevier

The 2nd workshop on intelligent recommender systems by knowledge transfer & Learning (RecsyskTL)

RecSys 2018 - 12th ACM Conference on Recommender Systems
2018 | Conference paper
EID:

2-s2.0-85056750092

Contributors: Sahebi, S.; Pan, W.; Zheng, Y.; Fernández, I.
Source: Self-asserted source
Yong Zheng via Scopus - Elsevier

Affective prediction by collaborative chains in movie recommendation

Proceedings - 2017 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2017
2017 | Conference paper
EID:

2-s2.0-85030991152

Contributors: Zheng, Y.
Source: Self-asserted source
Yong Zheng via Scopus - Elsevier

Context suggestion: Empirical evaluations vs user studies

Proceedings - 2017 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2017
2017 | Conference paper
EID:

2-s2.0-85030977247

Contributors: Zheng, Y.
Source: Self-asserted source
Yong Zheng via Scopus - Elsevier

Criteria chains: A novel multi-criteria recommendation approach

International Conference on Intelligent User Interfaces, Proceedings IUI
2017 | Conference paper
EID:

2-s2.0-85016450479

Contributors: Zheng, Y.
Source: Self-asserted source
Yong Zheng via Scopus - Elsevier

Identification of grey sheep users by histogram intersection in recommender systems

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2017 | Book
EID:

2-s2.0-85033668446

Contributors: Zheng, Y.; Agnani, M.; Singh, M.
Source: Self-asserted source
Yong Zheng via Scopus - Elsevier

Identifying grey sheep users by the distribution of user similarities in collaborative filtering

RIIT 2017 - Proceedings of the 6th Annual Conference on Research in Information Technology
2017 | Conference paper
EID:

2-s2.0-85033695350

Contributors: Zheng, Y.; Agnani, M.; Singh, M.
Source: Self-asserted source
Yong Zheng via Scopus - Elsevier

Indirect context suggestion

UMAP 2017 - Proceedings of the 25th Conference on User Modeling, Adaptation and Personalization
2017 | Conference paper
EID:

2-s2.0-85026871584

Contributors: Zheng, Y.
Source: Self-asserted source
Yong Zheng via Scopus - Elsevier

Situation-aware multi-criteria recommender system: Using criteria preferences as contexts

Proceedings of the ACM Symposium on Applied Computing
2017 | Conference paper
EID:

2-s2.0-85016520490

Contributors: Zheng, Y.
Source: Self-asserted source
Yong Zheng via Scopus - Elsevier

Special track on recommender systems

Proceedings of the ACM Symposium on Applied Computing
2017 | Conference paper
EID:

2-s2.0-85020891043

Contributors: Zheng, Y.; Chen, L.; Zanker, M.
Source: Self-asserted source
Yong Zheng via Scopus - Elsevier

The 1st workshop on intelligent recommender systems by knowledge transfer & learning (RecSysKTL)

RecSys 2017 - Proceedings of the 11th ACM Conference on Recommender Systems
2017 | Conference paper
EID:

2-s2.0-85030458958

Contributors: Zheng, Y.; Pan, W.; Sahebi, S.S.; Fernández, I.
Source: Self-asserted source
Yong Zheng via Scopus - Elsevier

Adapt to emotional reactions in context-aware personalization

CEUR Workshop Proceedings
2016 | Conference paper
EID:

2-s2.0-84991080582

Contributors: Zheng, Y.
Source: Self-asserted source
Yong Zheng via Scopus - Elsevier

CARSKit: A Java-Based Context-Aware Recommendation Engine

Proceedings - 15th IEEE International Conference on Data Mining Workshop, ICDMW 2015
2016 | Conference paper
EID:

2-s2.0-84964721052

Contributors: Zheng, Y.; Mobasher, B.; Burke, R.
Source: Self-asserted source
Yong Zheng via Scopus - Elsevier

Context Suggestion: Solutions and Challenges

Proceedings - 15th IEEE International Conference on Data Mining Workshop, ICDMW 2015
2016 | Conference paper
EID:

2-s2.0-84964756554

Contributors: Zheng, Y.
Source: Self-asserted source
Yong Zheng via Scopus - Elsevier

User-oriented context suggestion

UMAP 2016 - Proceedings of the 2016 Conference on User Modeling Adaptation and Personalization
2016 | Conference paper
EID:

2-s2.0-84984863744

Contributors: Zheng, Y.; Mobasher, B.; Burke, R.
Source: Self-asserted source
Yong Zheng via Scopus - Elsevier

A revisit to the identification of contexts in recommender systems

International Conference on Intelligent User Interfaces, Proceedings IUI
2015 | Conference paper
EID:

2-s2.0-84949988778

Contributors: Zheng, Y.
Source: Self-asserted source
Yong Zheng via Scopus - Elsevier
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