Yong Zheng - RankMe

112 papers A* 1A 13B 8C 3Misc 28Journal 25Unranked 29

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	The ACM Hypertext 2025 Conference Report. SIGWEB Newsl. Yong Zheng, Ludovico Boratto
2025	J	`jnl`	ACM Conference on Hypertext and INTR/HT Summer School, September 2025, Chicago, USA. SIGWEB Newsl. Yong Zheng, Ludovico Boratto
2025	—	`ed.`	Adjunct Proceedings of the 36th ACM Conference on Hypertext and Social Media, HT Adjunct 2025, Chicago, IL, USA, September 15-19, 2025 HT Adjunct Yong Zheng, Ludovico Boratto
2025	J	`jnl`	OpenTable data with multi-criteria ratings. CoRR Yong Zheng
2025	—	`conf`	Personalizing Educational Responses with LLMs: The Influence of Knowledge, Interests, and Preferences. SIGCITE Yong Zheng, Xiaosong Lu, Xintong Yu, Vinay Kambhampati
2025	—	`ed.`	Proceedings of the 36th ACM Conference on Hypertext and Social Media, HT 2025, Chicago, IL, USA, September 15-18, 2025 HT Yong Zheng, Ludovico Boratto, Charlie Hargood, Dongwon Lee
2024	Misc	`conf`	A Comprehensive Analysis of ACM SIGITE 2003 - 2023 Publications Using LitStudy. SIGITE Yong Zheng
2024	—	`conf`	An Empirical Comparison of Outlier Detection Methods for Identifying Grey-Sheep Users in Recommender Systems. AINA (2) Yong Zheng
2024	Misc	`conf`	Designing a FAQ Chatbot to Enhance Faculty Support. SIGITE Sahil Thorat, Yong Zheng, Vivian Jacob Varghese, Anette Volkova
2024	—	`conf`	MCRecKit: An Open-Source Library for Multi-Criteria Recommendations. WI/IAT Yong Zheng, David Xuejun Wang, Qin Ruan
2024	J	`jnl`	Understanding Language Modeling Paradigm Adaptations in Recommender Systems: Lessons Learned and Open Challenges. CoRR Lemei Zhang, Peng Liu, Yashar Deldjoo, Yong Zheng, Jon Atle Gulla
2023	—	`conf`	A Comparative Study of Preference Ordering Methods for Multi-Criteria Ranking. SDS Yong Zheng, David Xuejun Wang
2023	J	`jnl`	ACM Conference on Recommender Systems September 18-22, 2023 at Singapore. SIGWEB Newsl. Yong Zheng, Hanna Hauptmann, Guibing Guo
2023	Misc	`conf`	Academic Writing by Using Latex: A Hands-on Workshop. SIGITE Yong Zheng
2023	Misc	`conf`	ChatGPT for Teaching and Learning: An Experience from Data Science Education. SIGITE Yong Zheng
2023	J	`jnl`	ChatGPT for Teaching and Learning: An Experience from Data Science Education. CoRR Yong Zheng
2023	J	`jnl`	Hybrid Multi-Criteria Preference Ranking by Subsorting. CoRR Yong Zheng, David Xuejun Wang
2023	J	`jnl`	ITM-Rec: An Open Data Set for Educational Recommender Systems. CoRR Yong Zheng
2023	J	`jnl`	MOPO-LSI: A User Guide. CoRR Yong Zheng, Kumar Neelotpal Shukla, Jasmine Xu, David (Xuejun) Wang, Michael O'Leary
2023	J	`jnl`	MOPO-LSI: An open-source multi-objective portfolio optimization library for sustainable investments. Softw. Impacts Yong Zheng, Kumar Neelotpal Shukla, Jasmine Xu, David (Xuejun) Wang, Michael O'Leary
2023	—	`conf`	Multi-Criteria Decision Making and Recommender Systems. IUI Companion Yong Zheng, David (Xuejun) Wang
2023	—	`conf`	Multi-Criteria Ranking by Using Relaxed Pareto Ranking Methods. UMAP (Adjunct Publication) Yong Zheng, David Xuejun Wang
2023	C	`conf`	Multi-Objective Portfolio Optimization Towards Sustainable Investments. COMPASS Yong Zheng, Kumar Neelotpal Shukla, Jasmine Xu, David Xuejun Wang, Michael O'Leary
2023	—	`conf`	Tutorial: Educational Recommender Systems. AIED (Posters/Late Breaking Results/...) Yong Zheng
2022	Misc	`conf`	A Comparison of Students' Learning Behaviors and Performance Among Pre, During and Post COVID-19 Pandemic. SIGITE Yong Zheng, Shuaiqi Zheng
2022	—	`conf`	A Family of Neural Contextual Matrix Factorization Models for Context-Aware Recommendations. UMAP (Adjunct Publication) Yong Zheng, Gonzalo Florez Arias
2022	J	`jnl`	A survey of recommender systems with multi-objective optimization. Neurocomputing Yong Zheng, David (Xuejun) Wang
2022	J	`jnl`	Context-Aware Collaborative Filtering Using Context Similarity: An Empirical Comparison. Inf. Yong Zheng
2022	—	`conf`	DeepCARSKit: A Demo and User Guide. UMAP (Adjunct Publication) Yong Zheng
2022	J	`jnl`	DeepCARSKit: A deep learning based context-aware recommendation library. Softw. Impacts Yong Zheng
2022	A	`conf`	FinRec: The 3rd International Workshop on Personalization & Recommender Systems in Financial Services. RecSys Toine Bogers, Cataldo Musto, David (Xuejun) Wang, Alexander Felfernig, Simone Borg Bruun, Giovanni Semeraro, Yong Zheng
2022	J	`jnl`	JIIS preface for the special issue on advances in recommender systems. J. Intell. Inf. Syst. Yong Zheng, Li Chen, Markus Zanker, Panagiotis Symeonidis
2022	J	`jnl`	Multi-Criteria Ranking: Next Generation of Multi-Criteria Recommendation Framework. IEEE Access Yong Zheng, David (Xuejun) Wang
2022	J	`jnl`	Non-dominated differential context modeling for context-aware recommendations. Appl. Intell. Yong Zheng
2022	Misc	`conf`	Pressure Test: Finding Appropriate Data Size for Practice in Data Science Education. SIGITE Yong Zheng, Arnold Liu, Shuaiqi Zheng
2022	Misc	`ed.`	SIGITE '22: The 23rd Annual Conference on Information Technology Education, Chicago, IL, USA, September 21 - 24, 2022 SIGITE Ray Trygstad, Yong Zheng
2021	A*	`conf`	Multi-Objective Recommendations. KDD Yong Zheng, David (Xuejun) Wang
2021	J	`jnl`	Multi-Objective Recommendations: A Tutorial. CoRR Yong Zheng, David (Xuejun) Wang
2021	J	`jnl`	Personality-aware recommendations: an empirical study in education. Int. J. Grid Util. Comput. Yong Zheng, Archana Subramaniyan
2021	J	`jnl`	The role of transparency in multi-stakeholder educational recommendations. User Model. User Adapt. Interact. Yong Zheng, Juan Ruiz Toribio
2020	Misc	`conf`	A Comparison of Tools and Libraries for In-Class Face Detection and Emotion Recognition. SIGITE Alejandro Susillo Ridao, Yong Zheng
2020	B	`conf`	Educational Group Recommendations with Virtual Leaders. ICALT Yong Zheng
2020	Misc	`conf`	Fill Students' Knowledge Gap by Recommending Remedial Learning Materials. SIGITE Yong Zheng
2020	J	`jnl`	Penalty-Enhanced Utility-Based Multi-Criteria Recommendations. Inf. Yong Zheng
2020	Misc	`conf`	Predictive Staffing Model for Transit Security. SIGITE Yong Zheng, Shubham Madke, Vih Modeste Dogo, Yash Agrawal
2020	Misc	`conf`	Ride-Share Analysis in Boston City: A Comparison Between Uber and Lyft. SIGITE Vih Modeste Dogo, Khushboo Garg, Yong Zheng
2020	Misc	`conf`	SIGITE and SIGCSE Symposiums: A Comparative Study. SIGITE Yong Zheng
2020	J	`jnl`	Time-Aware Music Recommender Systems: Modeling the Evolution of Implicit User Preferences and User Listening Habits in A Collaborative Filtering Approach. CoRR Diego Sánchez-Moreno, Yong Zheng, María N. Moreno García
2019	Misc	`conf`	A Comparison of Tools for Teaching and Learning Data Analytics. SIGITE Yong Zheng
2019	Misc	`conf`	A Course on Applied AI and Data Science: Recommender Systems. SIGITE Yong Zheng
2019	Misc	`conf`	Bikesharing: Analysis and Prediction. SIGITE Geeth Priya Kuppusamy, Chandni Thakkar, Yong Zheng
2019	Misc	`conf`	Context-aware recommendations via sequential predictions. SAC Yong Zheng, Alisha Anna Jose
2019	C	`conf`	Discovering the Impact of Student Communities in Educational Recommendations. ICCE Yong Zheng
2019	—	`conf`	Educational Group Recommendations By Learning Group Expectations. TALE Yong Zheng
2019	Misc	`conf`	Exploratory Analysis of Chicago Taxi Rides. SIGITE Nikita Shahane, Megha Kaul, Yong Zheng
2019	Misc	`conf`	Integrating context-awareness and multi-criteria decision making in educational learning. SAC Yong Zheng, Shephalika Shekhar, Alisha Anna Jose, Sunil Kumar Rai
2019	B	`conf`	Mobile App and Malware Classifications by Mobile Usage with Time Dynamics. AINA Yong Zheng, Sridhar Srinivasan
2019	B	`conf`	Multi-stakeholder Personalized Learning with Preference Corrections. ICALT Yong Zheng
2019	A	`conf`	Multi-stakeholder recommendations: case studies, methods and challenges. RecSys Yong Zheng
2019	B	`conf`	Personality-Aware Collaborative Learning: Models and Explanations. AINA Yong Zheng, Archana Subramaniyan
2019	—	`conf`	Personalized Educational Learning with Multi-Stakeholder Optimizations. UMAP (Adjunct Publication) Yong Zheng, Nastaran Ghane, Milad Sabouri
2019	J	`jnl`	Preference corrections: capturing student and instructor perceptions in educational recommendations. Smart Learn. Environ. Yong Zheng
2019	A	`conf`	Recommendation for Multi-stakeholders and through Neural Review Mining. CIKM Muthusamy Chelliah, Yong Zheng, Sudeshna Sarkar
2019	Misc	`conf`	Utility-based multi-criteria recommender systems. SAC Yong Zheng
2018	Misc	`conf`	Context-Aware Mobile Recommendation By A Novel Post-Filtering Approach. FLAIRS Yong Zheng
2018	—	`ch.`	Context-Aware Recommendations. Collaborative Recommendations Yong Zheng, Bamshad Mobasher
2018	Misc	`conf`	Exploratory Malware Analysis of Mobile Usages. SIGITE Yong Zheng, Sridhar Srinivasan, Taehun Kim
2018	—	`conf`	Exploring User Roles In Group Recommendations: A Learning Approach. UMAP (Adjunct Publication) Yong Zheng
2018	—	`conf`	Fairness In Reciprocal Recommendations: A Speed-Dating Study. UMAP (Adjunct Publication) Yong Zheng, Tanaya Dave, Neha Mishra, Harshit Kumar
2018	—	`conf`	Identifying Dominators and Followers in Group Decision Making based on The Personality Traits. IUI Workshops Yong Zheng
2018	B	`conf`	Incorporating Time Dynamics and Implicit Feedback into Music Recommender Systems. WI Diego Sánchez-Moreno, Yong Zheng, María N. Moreno García
2018	—	`conf`	Personality-Aware Decision Making In Educational Learning. IUI Companion Yong Zheng
2018	Misc	`conf`	Predicting Political Trends By Social Tagging. SIGITE Yong Zheng, Mengran Liu
2018	Misc	`conf`	Special Track on Recommender Systems. FLAIRS Nadia Najjar, Yong Zheng
2018	A	`conf`	The 2nd workshop on intelligent recommender systems by knowledge transfer & learning (recsysKTL). RecSys Shaghayegh (Sherry) Sahebi, Yong Zheng, Weike Pan, Ignacio Fernández
2018	B	`conf`	Utility-Based Multi-Stakeholder Recommendations by Multi-Objective Optimization. WI Yong Zheng, Aviana Pu
2017	B	`conf`	Affective prediction by collaborative chains in movie recommendation. WI Yong Zheng
2017	—	`conf`	Climate Change: Relationships to CO RITT Mandar Kadam, Nisha Kanoo, Yong Zheng
2017	B	`conf`	Context suggestion: empirical evaluations vs user studies. WI Yong Zheng
2017	A	`conf`	Criteria Chains: A Novel Multi-Criteria Recommendation Approach. IUI Yong Zheng
2017	—	`ch.`	Emotions in Context-Aware Recommender Systems. Emotions and Personality in Personalized Services Yong Zheng, Bamshad Mobasher, Robin Burke
2017	C	`conf`	Identification of Grey Sheep Users by Histogram Intersection in Recommender Systems. ADMA Yong Zheng, Mayur Agnani, Mili Singh
2017	—	`conf`	Identifying Grey Sheep Users By The Distribution of User Similarities In Collaborative Filtering. RITT Yong Zheng, Mayur Agnani, Mili Singh
2017	A	`conf`	Indirect Context Suggestion. UMAP Yong Zheng
2017	J	`jnl`	Interpreting Contextual Effects By Contextual Modeling In Recommender Systems. CoRR Yong Zheng
2017	J	`jnl`	Multi-Stakeholder Recommendation: Applications and Challenges. CoRR Yong Zheng
2017	—	`ed.`	Proceedings of the 1st Workshop on Intelligent Recommender Systems by Knowledge Transfer & Learning co-located with ACM Conference on Recommender Systems (RecSys 2017), Como, Italy, August 27, 2017. RecSysKTL Yong Zheng, Weike Pan, Shaghayegh (Sherry) Sahebi, Ignacio Fernández
2017	Misc	`conf`	Situation-aware multi-criteria recommender system: using criteria preferences as contexts. SAC Yong Zheng
2017	A	`conf`	The 1st Workshop on Intelligent Recommender Systems by Knowledge Transfer & Learning: (RecSysKTL). RecSys Yong Zheng, Weike Pan, Shaghayegh (Sherry) Sahebi, Ignacio Fernández
2016	—	`conf`	Adapt to Emotional Reactions in Context-aware Personalization. EMPIRE@RecSys Yong Zheng
2016	Misc	`conf`	Context-driven mobile apps management and recommendation: student research abstract. SAC Yong Zheng
2016	A	`conf`	User-Oriented Context Suggestion. UMAP Yong Zheng, Bamshad Mobasher, Robin Burke
2015	—	`conf`	A Revisit to The Identification of Contexts in Recommender Systems. IUI Companion Yong Zheng
2015	J	`jnl`	A User's Guide to CARSKit. CoRR Yong Zheng
2015	—	`conf`	CARSKit: A Java-Based Context-Aware Recommendation Engine. ICDM Workshops Yong Zheng, Bamshad Mobasher, Robin D. Burke
2015	—	`conf`	Context Suggestion: Solutions and Challenges. ICDM Workshops Yong Zheng
2015	Misc	`conf`	Improve general contextual slim recommendation algorithms by factorizing contexts. SAC Yong Zheng
2015	—	`conf`	Incorporating Context Correlation into Context-aware Matrix Factorization. CPCR+ITWP@IJCAI Yong Zheng, Bamshad Mobasher, Robin D. Burke
2015	A	`conf`	Integrating Context Similarity with Sparse Linear Recommendation Model. UMAP Yong Zheng, Bamshad Mobasher, Robin D. Burke
2015	—	`conf`	Similarity-Based Context-Aware Recommendation. WISE (1) Yong Zheng, Bamshad Mobasher, Robin D. Burke
2014	A	`conf`	CSLIM: contextual SLIM recommendation algorithms. RecSys Yong Zheng, Bamshad Mobasher, Robin D. Burke
2014	—	`conf`	Context Recommendation Using Multi-label Classification. WI-IAT (1) Yong Zheng, Bamshad Mobasher, Robin D. Burke
2014	A	`conf`	Deviation-Based Contextual SLIM Recommenders. CIKM Yong Zheng, Bamshad Mobasher, Robin D. Burke
2014	A	`conf`	Deviation-based and similarity-based contextual SLIM recommendation algorithms. RecSys Yong Zheng
2014	—	`conf`	Seismic Qualification of Telecommunication System in Nuclear Power Plant. ICGEC Zhichun Li, Yong Zheng
2014	Misc	`conf`	Semi-supervised context-aware matrix factorization: using contexts in a way of "latent" factors. SAC Yong Zheng
2014	Misc	`conf`	Splitting approaches for context-aware recommendation: an empirical study. SAC Yong Zheng, Robin D. Burke, Bamshad Mobasher
2013	A	`conf`	Recommendation with Differential Context Weighting. UMAP Yong Zheng, Robin D. Burke, Bamshad Mobasher
2013	—	`conf`	The Role of Emotions in Context-aware Recommendation. Decisions@RecSys Yong Zheng, Bamshad Mobasher, Robin D. Burke
2012	—	`conf`	Differential Context Relaxation for Context-Aware Travel Recommendation. EC-Web Yong Zheng, Robin D. Burke, Bamshad Mobasher
2011	—	`conf`	Context-Aware Recommendation Based On Review Mining. ITWP@IJCAI Negar Hariri, Bamshad Mobasher, Robin Burke, Yong Zheng
2011	—	`conf`	Experience Discovery: hybrid recommendation of student activities using social network data. HetRec@RecSys Robin Burke, Yong Zheng, Scott Riley